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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
79740f083efea18abfbb2eca0616efc679ff1d29 | 4,182 | py | Python | limonado/contrib/health.py | ferretgo/limonado | c3b1cff69028f5c3f9cec9a7abebbc143637b422 | [
"MIT"
] | 1 | 2017-08-08T16:29:45.000Z | 2017-08-08T16:29:45.000Z | limonado/contrib/health.py | gakhov/limonado | c3b1cff69028f5c3f9cec9a7abebbc143637b422 | [
"MIT"
] | 3 | 2018-04-18T09:35:39.000Z | 2018-06-16T12:07:33.000Z | limonado/contrib/health.py | ferretgo/limonado | c3b1cff69028f5c3f9cec9a7abebbc143637b422 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import functools
import time
from tornado.gen import coroutine
from ..core.endpoint import Endpoint
from ..core.endpoint import EndpointAddon
from ..core.endpoint import EndpointHandler
_HEALTH_PARAMS = {
"additionalProperties": False,
"type": "object",
"properties": {
"c... | 25.345455 | 78 | 0.562889 |
79740faf9fc3a4e491c391496368f9dff8b20577 | 88 | py | Python | sktime/utils/estimators/tests/__init__.py | biologioholic/sktime | 9d0391a04b11d22bd783b452f01aa5b4529b41a2 | [
"BSD-3-Clause"
] | 1 | 2021-12-22T02:45:39.000Z | 2021-12-22T02:45:39.000Z | sktime/utils/estimators/tests/__init__.py | biologioholic/sktime | 9d0391a04b11d22bd783b452f01aa5b4529b41a2 | [
"BSD-3-Clause"
] | null | null | null | sktime/utils/estimators/tests/__init__.py | biologioholic/sktime | 9d0391a04b11d22bd783b452f01aa5b4529b41a2 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Tests for Mock Estimnators."""
__author__ = ["ltsaprounis"]
| 17.6 | 33 | 0.613636 |
79740fce2be961b691b008c034a316ac38947e65 | 391 | py | Python | exams/migrations/0006_auto_20180419_0952.py | PetHospital/PetHospitalBackend | b5f15293a7aea46b78a554146878ef00c4a55a17 | [
"MIT"
] | null | null | null | exams/migrations/0006_auto_20180419_0952.py | PetHospital/PetHospitalBackend | b5f15293a7aea46b78a554146878ef00c4a55a17 | [
"MIT"
] | null | null | null | exams/migrations/0006_auto_20180419_0952.py | PetHospital/PetHospitalBackend | b5f15293a7aea46b78a554146878ef00c4a55a17 | [
"MIT"
] | null | null | null | # Generated by Django 2.0.4 on 2018-04-19 09:52
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('exams', '0005_exam_duration'),
]
operations = [
migrations.AlterField(
model_name='submission',
name='date',
... | 20.578947 | 60 | 0.598465 |
797410251f4b0fd2a780cd721c16e768494b1834 | 575 | py | Python | mongo-to-sql/mongo_to_sql/process/import.py | wgarlock/mongo-to-sql | b421d48b822c9d8443f76492230987886de34a9d | [
"MIT"
] | null | null | null | mongo-to-sql/mongo_to_sql/process/import.py | wgarlock/mongo-to-sql | b421d48b822c9d8443f76492230987886de34a9d | [
"MIT"
] | 1 | 2021-01-24T21:07:52.000Z | 2021-01-24T21:07:52.000Z | mongo-to-sql/mongo_to_sql/process/import.py | wgarlock/mongo-to-sql | b421d48b822c9d8443f76492230987886de34a9d | [
"MIT"
] | null | null | null | import environ
import os
from mongo_to_sql.databases import mongo, postgres
directory = '/Users/wgarlock/Documents/all_collections'
root = environ.Path(__file__) - 4
BASE_DIR = root()
env = environ.Env(DEBUG=(bool, False))
env.read_env(os.path.join(BASE_DIR, '.migrate_config'))
mongo_database = mongo.MongoDatabase()... | 30.263158 | 98 | 0.78087 |
797410c26664df97556782b93d6ae18554f9aa79 | 13,772 | py | Python | twilio/rest/proxy/v1/service/short_code.py | scotta/twilio-python | 93cf463f914f55c4c4bd1c259b834953dd81609d | [
"MIT"
] | 1 | 2021-02-24T04:59:03.000Z | 2021-02-24T04:59:03.000Z | twilio/rest/proxy/v1/service/short_code.py | scotta/twilio-python | 93cf463f914f55c4c4bd1c259b834953dd81609d | [
"MIT"
] | null | null | null | twilio/rest/proxy/v1/service/short_code.py | scotta/twilio-python | 93cf463f914f55c4c4bd1c259b834953dd81609d | [
"MIT"
] | 1 | 2018-12-09T00:53:21.000Z | 2018-12-09T00:53:21.000Z | # coding=utf-8
"""
This code was generated by
\ / _ _ _| _ _
| (_)\/(_)(_|\/| |(/_ v1.0.0
/ /
"""
from twilio.base import deserialize
from twilio.base import values
from twilio.base.instance_context import InstanceContext
from twilio.base.instance_resource import InstanceResource
from twilio.base.... | 32.868735 | 99 | 0.622568 |
797410c8c1166899b836eda616d4452c72984158 | 377 | py | Python | 05.Static_and_class_methods/Exe/movie_world/project/customer.py | nmoskova/Python-OOP | 07327bcb93eee3a7db5d7c0bbdd1b54eb9e8b864 | [
"MIT"
] | null | null | null | 05.Static_and_class_methods/Exe/movie_world/project/customer.py | nmoskova/Python-OOP | 07327bcb93eee3a7db5d7c0bbdd1b54eb9e8b864 | [
"MIT"
] | null | null | null | 05.Static_and_class_methods/Exe/movie_world/project/customer.py | nmoskova/Python-OOP | 07327bcb93eee3a7db5d7c0bbdd1b54eb9e8b864 | [
"MIT"
] | null | null | null | class Customer:
def __init__(self, name, age, id):
self.name = name
self.age = age
self.id = id
self.rented_dvds = []
def __repr__(self):
result = f"{self.id}: {self.name} of age {self.age}" \
f" has {len(self.rented_dvds)} rented DVD's ({', '.join([x.na... | 29 | 111 | 0.541114 |
797415b9dce8b7a525282f10663bfe348c7028d1 | 21,775 | py | Python | lib/python3.8/site-packages/ansible_collections/azure/azcollection/plugins/modules/azure_rm_cosmosdbaccount.py | cjsteel/python3-venv-ansible-2.10.5 | c95395c4cae844dc66fddde9b4343966f4b2ecd5 | [
"Apache-1.1"
] | null | null | null | lib/python3.8/site-packages/ansible_collections/azure/azcollection/plugins/modules/azure_rm_cosmosdbaccount.py | cjsteel/python3-venv-ansible-2.10.5 | c95395c4cae844dc66fddde9b4343966f4b2ecd5 | [
"Apache-1.1"
] | null | null | null | lib/python3.8/site-packages/ansible_collections/azure/azcollection/plugins/modules/azure_rm_cosmosdbaccount.py | cjsteel/python3-venv-ansible-2.10.5 | c95395c4cae844dc66fddde9b4343966f4b2ecd5 | [
"Apache-1.1"
] | null | null | null | #!/usr/bin/python
#
# Copyright (c) 2018 Zim Kalinowski, <zikalino@microsoft.com>
#
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
... | 37.032313 | 157 | 0.561929 |
79741643358c842bbf24b49294322fdcce941f31 | 245 | py | Python | configure-make-example/subprocessTest.py | renweizhukov/LinuxProgramming | e4610709cf8cb3410d4e37d4ff87b0788b0cb4ca | [
"MIT"
] | null | null | null | configure-make-example/subprocessTest.py | renweizhukov/LinuxProgramming | e4610709cf8cb3410d4e37d4ff87b0788b0cb4ca | [
"MIT"
] | null | null | null | configure-make-example/subprocessTest.py | renweizhukov/LinuxProgramming | e4610709cf8cb3410d4e37d4ff87b0788b0cb4ca | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import subprocess
proc = subprocess.Popen(['./helloworld'], stdout=subprocess.PIPE)
#works in python 3.0+
#for line in proc.stdout:
for line in iter(proc.stdout.readline,''):
print line.rstrip()
| 24.5 | 65 | 0.693878 |
79741663478b0065415e781fa167755b65f314ae | 5,201 | py | Python | share/lib/python/neuron/rxdtests/run_all.py | niltonlk/nrn | 464541abbf72fe58de77b16bf0e1df425a280b89 | [
"BSD-3-Clause"
] | 203 | 2018-05-03T11:02:11.000Z | 2022-03-31T14:18:31.000Z | share/lib/python/neuron/rxdtests/run_all.py | niltonlk/nrn | 464541abbf72fe58de77b16bf0e1df425a280b89 | [
"BSD-3-Clause"
] | 1,228 | 2018-04-25T09:00:48.000Z | 2022-03-31T21:42:21.000Z | share/lib/python/neuron/rxdtests/run_all.py | niltonlk/nrn | 464541abbf72fe58de77b16bf0e1df425a280b89 | [
"BSD-3-Clause"
] | 134 | 2018-04-23T09:14:13.000Z | 2022-03-16T08:57:11.000Z | def test(files, correct_data):
import os
import sys
import filecmp
import subprocess
import re, array, numpy
tol = 1e-10
dt_eps = 1e-20
for dr in ["wave1d", "ecs", "3d", "hybrid"]:
try:
os.makedirs(os.path.join("test_data", dr))
except OSError:
pa... | 33.993464 | 107 | 0.506633 |
797416b35b3ff935d48a2d47ea1adbd9bcd9e7af | 2,900 | py | Python | k_fold_cross_validation.py | manuelmusngi/machine_learning_algorithms_for_development | f344634f84d8f3a60fbb93892bdaed877855b710 | [
"MIT"
] | 1 | 2021-05-17T15:28:03.000Z | 2021-05-17T15:28:03.000Z | k_fold_cross_validation.py | manuelmusngi/machine_learning_development_algorithms | f344634f84d8f3a60fbb93892bdaed877855b710 | [
"MIT"
] | null | null | null | k_fold_cross_validation.py | manuelmusngi/machine_learning_development_algorithms | f344634f84d8f3a60fbb93892bdaed877855b710 | [
"MIT"
] | null | null | null | # k-Fold Cross Validation
# Import libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
# Import dataset
dataset = pd.read_ ('')
X = dataset.iloc[:, :-1].values
y = dataset.iloc[:, -1].values
# Split dataset into the Training set and Test set
from sklearn.model_selection import train_test... | 38.157895 | 105 | 0.674828 |
7974176cfd4918b03c2c348f81769aee30454f63 | 4,156 | py | Python | VolMoeSeacher/SearchVolmoe.py | HappyAny/Scripts | 2ac9aee530bd497feaa5454d1c1d8654cc322faf | [
"MIT"
] | null | null | null | VolMoeSeacher/SearchVolmoe.py | HappyAny/Scripts | 2ac9aee530bd497feaa5454d1c1d8654cc322faf | [
"MIT"
] | null | null | null | VolMoeSeacher/SearchVolmoe.py | HappyAny/Scripts | 2ac9aee530bd497feaa5454d1c1d8654cc322faf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[13]:
#coding=utf-8
import urllib.request as request
import xml
from bs4 import BeautifulSoup
import os
from urllib.request import urlretrieve
import json
import progressbar
import time
#id_new='518044'/'504560'
def urllib_download(pic_url, file_path):
urlretrieve(pic_u... | 27.523179 | 132 | 0.600096 |
79741804271032c369d4a0d4b5f52ffb6dacfadd | 1,488 | py | Python | NN-HMM/network/network_mixup.py | mispchallenge/MISP2021-AVSR | e26ab87bd3134d08d9571632bbffb0b5e731a830 | [
"Apache-2.0"
] | null | null | null | NN-HMM/network/network_mixup.py | mispchallenge/MISP2021-AVSR | e26ab87bd3134d08d9571632bbffb0b5e731a830 | [
"Apache-2.0"
] | null | null | null | NN-HMM/network/network_mixup.py | mispchallenge/MISP2021-AVSR | e26ab87bd3134d08d9571632bbffb0b5e731a830 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# _*_ coding: UTF-8 _*_
import random
import torch
import numpy as np
import torch.nn as nn
class MixUp(nn.Module):
def __init__(self, mix_probability, alpha, mix_types):
super(MixUp, self).__init__()
self.mix_probability = mix_probability
self.alpha = alpha
s... | 39.157895 | 100 | 0.525538 |
79741a770d46279fd2a3209e5225f0c97adc9add | 1,917 | py | Python | skip/models.py | LCOGT/skip | 2524ba71c39876aae8a31fff3de55e6cb7aa1f83 | [
"BSD-3-Clause"
] | null | null | null | skip/models.py | LCOGT/skip | 2524ba71c39876aae8a31fff3de55e6cb7aa1f83 | [
"BSD-3-Clause"
] | 4 | 2020-09-10T20:31:54.000Z | 2022-02-27T18:40:23.000Z | skip/models.py | scimma/skip | aa9437d8c4f7d5edbffaec20e6651339241bbb95 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib.gis.db import models as gis_models
from django.db import models
# Create your models here.
class Target(models.Model):
name = models.CharField(max_length=200)
right_ascension = models.FloatField(null=True, blank=True)
declination = models.FloatField(null=True, blank=True)
created ... | 34.854545 | 107 | 0.738654 |
79741ac8d55a64de05611410a806cae47d640e19 | 6,681 | py | Python | src/_build/website.py | sl-lang/sll | 05205c32e9c263c2a41ed96147a8677b2cd54a2d | [
"MIT"
] | 14 | 2021-08-21T10:26:03.000Z | 2022-03-23T14:44:24.000Z | src/_build/website.py | sl-lang/sll | 05205c32e9c263c2a41ed96147a8677b2cd54a2d | [
"MIT"
] | 247 | 2021-08-19T08:35:24.000Z | 2022-03-28T09:56:29.000Z | src/_build/website.py | sl-lang/sll | 05205c32e9c263c2a41ed96147a8677b2cd54a2d | [
"MIT"
] | 1 | 2021-10-10T00:30:41.000Z | 2021-10-10T00:30:41.000Z | import docs
import hashlib
import json
import os
import sys
import util
FLAG_NAME_MAP={"check_output":"Check Output","optimizable":"Optimizable"}
IGNORE_FLAG_NAME=["func","var","var_arg"]
def _add_data(nm,dt):
nm=nm.replace("\\","/")[:255].encode("ascii","ignore")
dt=dt[:16777215]
if (nm[-5:]==b".html"):
dt=... | 36.508197 | 214 | 0.580302 |
79741b1b50e3f941342a96e75441c9fb3f1ae682 | 2,963 | py | Python | voila/treehandler.py | astrojuanlu/voila | 7613e813a0a421ebe0d0c318fb0e2f92b5dc36ca | [
"BSD-3-Clause"
] | null | null | null | voila/treehandler.py | astrojuanlu/voila | 7613e813a0a421ebe0d0c318fb0e2f92b5dc36ca | [
"BSD-3-Clause"
] | null | null | null | voila/treehandler.py | astrojuanlu/voila | 7613e813a0a421ebe0d0c318fb0e2f92b5dc36ca | [
"BSD-3-Clause"
] | null | null | null | #############################################################################
# Copyright (c) 2018, Voila Contributors #
# #
# Distributed under the terms of the BSD 3-Clause License. #
# ... | 41.732394 | 82 | 0.519406 |
79741bb58a6f10373d8b264c43b90a69ddda7441 | 3,313 | py | Python | ilsplayground/cli.py | ntarocco/cds-ils-playground | 4bd92448b7c1c2600d61fbb867d391e3c4e33385 | [
"MIT"
] | null | null | null | ilsplayground/cli.py | ntarocco/cds-ils-playground | 4bd92448b7c1c2600d61fbb867d391e3c4e33385 | [
"MIT"
] | null | null | null | ilsplayground/cli.py | ntarocco/cds-ils-playground | 4bd92448b7c1c2600d61fbb867d391e3c4e33385 | [
"MIT"
] | 1 | 2018-08-29T11:26:24.000Z | 2018-08-29T11:26:24.000Z | import click
from flask.cli import with_appcontext
from invenio_db import db
from invenio_indexer.api import RecordIndexer
from invenio_pidstore.models import PersistentIdentifier
from invenio_records.api import Record
from ilsplayground.api import BookRecord, ItemRecord, LocationRecord
from ilsplayground.pid.minters... | 23.330986 | 78 | 0.543314 |
79741be585ebe40785ce8b47588727f3f00f66c2 | 1,580 | py | Python | pythonx/ncm2_matcher/substr.py | ssmithstone/ncm2 | bbb6fe7b7ab05a93627755ccc1dc134be99681c7 | [
"MIT"
] | 1,448 | 2018-06-29T02:29:20.000Z | 2022-03-29T04:16:43.000Z | pythonx/ncm2_matcher/substr.py | ssmithstone/ncm2 | bbb6fe7b7ab05a93627755ccc1dc134be99681c7 | [
"MIT"
] | 188 | 2018-06-29T06:30:58.000Z | 2022-03-17T11:00:57.000Z | pythonx/ncm2_matcher/substr.py | ssmithstone/ncm2 | bbb6fe7b7ab05a93627755ccc1dc134be99681c7 | [
"MIT"
] | 55 | 2018-07-11T13:54:21.000Z | 2022-03-16T23:32:11.000Z | # -*- coding: utf-8 -*-
def Matcher(case='smartcase', key='abbr', **kargs):
def match_smart_case(b, e):
w = e[key]
lw = len(w)
lb = len(b)
if lb > lw:
return False
if not lb:
e['user_data']['match_highlight'] = []
return True
... | 24.307692 | 65 | 0.417089 |
79741c19ad95d80d40446833cb62b8dbe6c746f3 | 424 | py | Python | server/core/admin.py | uofutahcapstoneahjregistryteam/ahj-registry | 257cdfaf6e24510497cb1db7e89f2c889066fe07 | [
"MIT"
] | null | null | null | server/core/admin.py | uofutahcapstoneahjregistryteam/ahj-registry | 257cdfaf6e24510497cb1db7e89f2c889066fe07 | [
"MIT"
] | null | null | null | server/core/admin.py | uofutahcapstoneahjregistryteam/ahj-registry | 257cdfaf6e24510497cb1db7e89f2c889066fe07 | [
"MIT"
] | null | null | null | from django.contrib import admin
from simple_history.admin import SimpleHistoryAdmin
from .models import *
admin.site.register(Edit)
admin.site.register(AHJ, SimpleHistoryAdmin)
admin.site.register(Address, SimpleHistoryAdmin)
admin.site.register(Location, SimpleHistoryAdmin)
admin.site.register(Contact, SimpleHistor... | 32.615385 | 69 | 0.851415 |
79741d7d225fd176df980ed9418265fca675358d | 416 | py | Python | flaskshop/plugin/spec.py | maquinuz/flask-shop | 78fc86ec5e9ebcd61f3eb69e8b1df33c82c6fe30 | [
"BSD-3-Clause"
] | 141 | 2018-08-14T09:38:30.000Z | 2022-03-24T14:17:14.000Z | flaskshop/plugin/spec.py | maquinuz/flask-shop | 78fc86ec5e9ebcd61f3eb69e8b1df33c82c6fe30 | [
"BSD-3-Clause"
] | 65 | 2019-06-20T06:10:04.000Z | 2022-01-29T07:10:06.000Z | flaskshop/plugin/spec.py | maquinuz/flask-shop | 78fc86ec5e9ebcd61f3eb69e8b1df33c82c6fe30 | [
"BSD-3-Clause"
] | 65 | 2019-03-18T13:55:34.000Z | 2022-03-23T05:55:27.000Z | from pluggy import HookspecMarker
spec = HookspecMarker("flaskshop")
@spec
def flaskshop_load_blueprints(app):
"""Hook for registering blueprints.
:param app: The application object.
"""
@spec
def flaskbb_tpl_user_nav_loggedin_before():
"""Hook for registering additional user navigational items
... | 19.809524 | 62 | 0.723558 |
79741e3a3a22ab3a139777e39efb717140fd3a07 | 6,174 | py | Python | clearml/binding/click.py | Hollowfier/clearml | cf9671c2539c05dac40c00ef707193b1ca6b9cab | [
"Apache-2.0"
] | null | null | null | clearml/binding/click.py | Hollowfier/clearml | cf9671c2539c05dac40c00ef707193b1ca6b9cab | [
"Apache-2.0"
] | null | null | null | clearml/binding/click.py | Hollowfier/clearml | cf9671c2539c05dac40c00ef707193b1ca6b9cab | [
"Apache-2.0"
] | null | null | null | try:
from click.core import Command, Option, Argument, OptionParser, Group, Context
from click.types import BoolParamType
except ImportError:
Command = None
from .frameworks import _patched_call
from ..config import running_remotely, get_remote_task_id
from ..utilities.dicts import cast_str_to_bool
class... | 39.075949 | 113 | 0.580013 |
79741e5bdb1907b35cec514976436f348644d031 | 9,850 | py | Python | mesonbuild/minit.py | blobfish/meson | d0c7b5169303fb0a394201d90be1e74426d7b2d9 | [
"Apache-2.0"
] | 1 | 2020-01-21T21:57:32.000Z | 2020-01-21T21:57:32.000Z | mesonbuild/minit.py | blobfish/meson | d0c7b5169303fb0a394201d90be1e74426d7b2d9 | [
"Apache-2.0"
] | 1 | 2020-02-05T12:55:06.000Z | 2020-02-05T12:55:06.000Z | mesonbuild/minit.py | blobfish/meson | d0c7b5169303fb0a394201d90be1e74426d7b2d9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The Meson development team
# 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 ... | 45.391705 | 104 | 0.615533 |
79741eb9bfd538ffb4d1902a64518834ea9886f9 | 2,497 | py | Python | chembase/models/w2v.py | kongjy/BETO_NLP | 69b00e9638fae00301c2babbe378836dee061d04 | [
"MIT"
] | 3 | 2020-08-07T16:59:04.000Z | 2021-02-18T20:19:44.000Z | chembase/models/w2v.py | kongjy/BETO_NLP | 69b00e9638fae00301c2babbe378836dee061d04 | [
"MIT"
] | 2 | 2020-08-05T21:38:24.000Z | 2021-02-17T18:23:21.000Z | chembase/models/w2v.py | kongjy/BETO_NLP | 69b00e9638fae00301c2babbe378836dee061d04 | [
"MIT"
] | 2 | 2020-11-15T23:32:25.000Z | 2021-01-19T22:47:01.000Z | import os
import sys
import numpy as np
import pandas as pd
import gensim
from gensim.models import Word2Vec
class W2V():
"""
This class provides an interface between the normalized and tokenized texts
from the SciTextProcessor object and a Word2Vec model trained from the
extracted entities, phrases a... | 34.680556 | 86 | 0.545455 |
79741ff41142270249283c6bc14e61bcdc878004 | 1,122 | py | Python | h/views/home.py | g0vggv/h | dae2dfa8ab064ddb696e5657d48459114b2642d2 | [
"MIT"
] | null | null | null | h/views/home.py | g0vggv/h | dae2dfa8ab064ddb696e5657d48459114b2642d2 | [
"MIT"
] | 5 | 2017-12-26T14:22:20.000Z | 2018-04-02T02:56:38.000Z | h/views/home.py | SenseTW/h | dae2dfa8ab064ddb696e5657d48459114b2642d2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Views serving the homepage and related endpoints."""
from __future__ import unicode_literals
from pyramid import httpexceptions
from pyramid.view import view_config
@view_config(route_name='via_redirect', request_method='GET')
def via_redirect(context, request):
url = request.params.... | 30.324324 | 78 | 0.693405 |
797420d74a86e12c6d450c1565230eb378b5df16 | 50,357 | py | Python | google/cloud/aiplatform_v1beta1/services/job_service/transports/grpc.py | geraint0923/python-aiplatform | f40f32289e1fbeb93b35e4b66f65d15528a6481c | [
"Apache-2.0"
] | null | null | null | google/cloud/aiplatform_v1beta1/services/job_service/transports/grpc.py | geraint0923/python-aiplatform | f40f32289e1fbeb93b35e4b66f65d15528a6481c | [
"Apache-2.0"
] | null | null | null | google/cloud/aiplatform_v1beta1/services/job_service/transports/grpc.py | geraint0923/python-aiplatform | f40f32289e1fbeb93b35e4b66f65d15528a6481c | [
"Apache-2.0"
] | null | null | null | # -*- 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 44.603189 | 118 | 0.660385 |
79742159685b138626139ec17f0dd1f22c8b1981 | 338 | py | Python | rial_old/stages/post_parsing/infinite_loop_detector.py | L3tum/RIAL | fba25f37434ff51e0de8e22ce834af589aba24e8 | [
"BSD-3-Clause"
] | 2 | 2020-06-02T20:00:28.000Z | 2020-06-06T02:15:49.000Z | rial_old/stages/post_parsing/infinite_loop_detector.py | L3tum/RIAL | fba25f37434ff51e0de8e22ce834af589aba24e8 | [
"BSD-3-Clause"
] | 51 | 2020-04-13T13:27:10.000Z | 2020-06-12T11:38:36.000Z | rial_old/stages/post_parsing/infinite_loop_detector.py | L3tum/RIAL | fba25f37434ff51e0de8e22ce834af589aba24e8 | [
"BSD-3-Clause"
] | 2 | 2020-06-24T14:44:01.000Z | 2020-11-29T04:08:54.000Z | from rial.concept.parser import Tree
from rial.stages.post_parsing.PostParsingInterface import PostParsingInterface
class InfiniteLoopDetector(PostParsingInterface):
def execute(self, ast: Tree):
while ast is not None:
self.visit_tree(ast)
ast = None
def visit_tree(self, ast: ... | 28.166667 | 78 | 0.704142 |
797421af9b2a047824e4210202d2f7ba96d52d6b | 7,694 | py | Python | beast/tools/setup_batch_beast_trim.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | beast/tools/setup_batch_beast_trim.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | beast/tools/setup_batch_beast_trim.py | marthaboyer/beast | 1ca71fb64ab60827e4e4e1937b64f319a98166c3 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
Code to setup the batch files for BEAST trim grid runs
"""
from __future__ import print_function
import os
import glob
import argparse
import numpy as np
def setup_batch_beast_trim(project,
datafile,
astfile,
... | 30.172549 | 81 | 0.573304 |
797422cc64feffabc643fe68f4c08d1eb71909e0 | 2,084 | py | Python | computer_network/UDP_ping_client.py | WhiteHyun/Network | e8e3c04731ef884790aec8df586fa9a280da8af3 | [
"MIT"
] | 1 | 2020-10-28T03:54:55.000Z | 2020-10-28T03:54:55.000Z | computer_network/UDP_ping_client.py | WhiteHyun/Network | e8e3c04731ef884790aec8df586fa9a280da8af3 | [
"MIT"
] | null | null | null | computer_network/UDP_ping_client.py | WhiteHyun/Network | e8e3c04731ef884790aec8df586fa9a280da8af3 | [
"MIT"
] | null | null | null | from socket import *
import time
IP_ADD = 0 # 클라이언트 주소의 주소와 포트 중 주소 인덱스를 가리킴
if __name__ == "__main__":
server_name = '10.101.3.27' # Desktop 내부주소 언제든 변경 가능
server_port = 12000
data_length = 1000 # 데이터 길이 많은 데이터를 보내고 싶을 경우 이를 수정하면 됨
server_address = 0 # 서버 주소 미리 선언(unbound를 피하기 위함)
client_socke... | 35.322034 | 114 | 0.602207 |
7974232816d6bb7e84bf59cca8d490eddbfd5276 | 12,554 | py | Python | neo/Network/NeoNode.py | neo-goo/neo-python | 82082b624a417a6631ef9effe40556e876f4ea9e | [
"MIT"
] | 12 | 2017-12-20T14:13:10.000Z | 2020-07-16T12:59:55.000Z | neo/Network/NeoNode.py | kjhdigit/neo-project | 82082b624a417a6631ef9effe40556e876f4ea9e | [
"MIT"
] | 1 | 2022-03-17T00:01:50.000Z | 2022-03-17T00:01:50.000Z | neo/Network/NeoNode.py | kjhdigit/neo-project | 82082b624a417a6631ef9effe40556e876f4ea9e | [
"MIT"
] | 2 | 2017-11-29T13:21:41.000Z | 2018-10-23T03:31:49.000Z | import json
import time
import binascii
import pprint
import random
from logzero import logger
from twisted.internet.protocol import Protocol
from twisted.internet import reactor, task
from neo.Core.Block import Block
from neo.Core.Blockchain import Blockchain as BC
from neo.Network.Message import Message, ChecksumE... | 34.584022 | 193 | 0.627768 |
79742335cdf824c7386e5fd15139b2d0d365107d | 10,012 | py | Python | rlkit/torch/conv_networks.py | brandontrabucco/rlkit | ac0bb660d6baa9c36fceb688cb147066f5ddc722 | [
"MIT"
] | 74 | 2019-12-29T03:48:11.000Z | 2022-02-09T13:07:24.000Z | rlkit/torch/conv_networks.py | brandontrabucco/rlkit | ac0bb660d6baa9c36fceb688cb147066f5ddc722 | [
"MIT"
] | 13 | 2020-03-20T13:17:03.000Z | 2022-01-13T01:49:34.000Z | rlkit/torch/conv_networks.py | brandontrabucco/rlkit | ac0bb660d6baa9c36fceb688cb147066f5ddc722 | [
"MIT"
] | 10 | 2019-12-30T01:55:53.000Z | 2022-03-24T16:59:49.000Z | import torch
from torch import nn as nn
from rlkit.pythonplusplus import identity
from rlkit.torch.core import PyTorchModule
import numpy as np
class CNN(PyTorchModule):
def __init__(
self,
input_width,
input_height,
input_channels,
output_size,
... | 37.924242 | 127 | 0.597083 |
797423b218b1f42391c09b0942ea5d455462703c | 8,863 | py | Python | contrib/seeds/makeseeds.py | vmta/umkoin | ac2a1f5903444d0b39706119d6ab757afb8b856f | [
"MIT"
] | null | null | null | contrib/seeds/makeseeds.py | vmta/umkoin | ac2a1f5903444d0b39706119d6ab757afb8b856f | [
"MIT"
] | null | null | null | contrib/seeds/makeseeds.py | vmta/umkoin | ac2a1f5903444d0b39706119d6ab757afb8b856f | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2013-2020 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
#
# Generate seeds.txt from Pieter's DNS seeder
#
import re
import sys
import dns.resolver
import collect... | 36.17551 | 116 | 0.565271 |
797423cff9c68150c7e1b84d11f7e1f60f5a04fe | 5,594 | py | Python | src/server/textprocess/sentencesgenerator.py | Vnicius/fact-check | 3dc428e5e31a7c887291006e25058c01e6f23f06 | [
"MIT"
] | null | null | null | src/server/textprocess/sentencesgenerator.py | Vnicius/fact-check | 3dc428e5e31a7c887291006e25058c01e6f23f06 | [
"MIT"
] | null | null | null | src/server/textprocess/sentencesgenerator.py | Vnicius/fact-check | 3dc428e5e31a7c887291006e25058c01e6f23f06 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# -*- coding:utf-8 -*-
import os
from textprocess.tagger import Tagger
from textprocess.word import Word
from textprocess.verb import Verb
from textprocess.querywords import QueryWords
from textprocess.syntacticanalyser import SyntacticAnalyser
from textprocess.modifiers import Modifiers
class Sen... | 29.442105 | 100 | 0.571326 |
797425b9b7e6759f70d9f4648aede7adf575a543 | 7,098 | py | Python | browser/browser.py | cyrussinc/15-minute-apps | 8796f72b20c63f1e96fc4f434edfee29d353a234 | [
"MIT"
] | 2,087 | 2018-02-20T17:08:10.000Z | 2020-01-08T15:14:21.000Z | browser/browser.py | nicknickyu/15-minute-apps | dfc4bbf4b9804d3314b02fcfada0b573a85fc08b | [
"MIT"
] | 15 | 2020-02-06T14:54:16.000Z | 2021-07-10T19:40:50.000Z | browser/browser.py | nicknickyu/15-minute-apps | dfc4bbf4b9804d3314b02fcfada0b573a85fc08b | [
"MIT"
] | 523 | 2018-02-21T03:15:40.000Z | 2020-01-06T18:26:33.000Z | from PyQt5.QtCore import *
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtWebEngineWidgets import *
from PyQt5.QtPrintSupport import *
import os
import sys
class AboutDialog(QDialog):
def __init__(self, *args, **kwargs):
super(AboutDialog, self).__init__(*args, **kwargs)
QB... | 34.965517 | 118 | 0.6306 |
7974262a38be71503cab408993429e168a942514 | 4,061 | py | Python | libs/configs/DOTA1.0/cfgs_res50_dota_v8.py | Mrqianduoduo/RSDet-8P-4R | b6d3963ed4b76d88dce3bf8c234229536f383c19 | [
"Apache-2.0"
] | 23 | 2020-12-03T01:25:24.000Z | 2022-03-09T05:02:06.000Z | libs/configs/cfgs.py | cherish24/RetinaNet_Tensorflow_Rotation | 56e1c1ccb619975b515ecf7d1537f15282edcdd8 | [
"MIT"
] | 3 | 2021-01-14T13:36:41.000Z | 2021-11-11T11:42:26.000Z | libs/configs/cfgs.py | cherish24/RetinaNet_Tensorflow_Rotation | 56e1c1ccb619975b515ecf7d1537f15282edcdd8 | [
"MIT"
] | 3 | 2021-01-22T13:17:33.000Z | 2022-03-09T08:22:10.000Z | # -*- coding: utf-8 -*-
from __future__ import division, print_function, absolute_import
import os
import tensorflow as tf
import math
"""
v3 + 2x multi-gpu + REG_WEIGHT=1.0
This is your evaluation result for task 1:
mAP: 0.627914092842082
ap of each class:
plane:0.8858093578644306,
baseball-diamond:0... | 31.238462 | 105 | 0.678651 |
797426e2f51c200ccf3a7d3adc0faf4065584c42 | 8,098 | py | Python | detectron/utils/train.py | ForrestHeiYing/Detectron | 787f5a9bf80b4149adb4913e86b2edd8a441bf09 | [
"Apache-2.0"
] | null | null | null | detectron/utils/train.py | ForrestHeiYing/Detectron | 787f5a9bf80b4149adb4913e86b2edd8a441bf09 | [
"Apache-2.0"
] | null | null | null | detectron/utils/train.py | ForrestHeiYing/Detectron | 787f5a9bf80b4149adb4913e86b2edd8a441bf09 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017-present, Facebook, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... | 38.746411 | 84 | 0.677698 |
79742a6f3c5bd017b26d822577e6211f2e1c3920 | 1,426 | py | Python | labs/7/01.02-getReportData.py | G00364778/52957_dataRepresentation | de5127573a5b717aa67105c3dbe5e1d98f601fca | [
"MIT"
] | null | null | null | labs/7/01.02-getReportData.py | G00364778/52957_dataRepresentation | de5127573a5b717aa67105c3dbe5e1d98f601fca | [
"MIT"
] | null | null | null | labs/7/01.02-getReportData.py | G00364778/52957_dataRepresentation | de5127573a5b717aa67105c3dbe5e1d98f601fca | [
"MIT"
] | null | null | null | import requests
import json
from xlwt import *
#url = "https://reports.sem-o.com/api/v1/documents/static-reports"
url= "https://reports.sem-o.com/api/v1/documents/static-reports?ReportName=Balancing%20and%20Imbalance%20Market%20Cost%20View&Date=>2019-11-10"
response = requests.get(url)
data = response.json()
listOfR... | 29.102041 | 143 | 0.699158 |
79742ce504d734589f5864a52953bbb8946122e2 | 13,340 | py | Python | tests/test_binder_file_field.py | nstylo/django-binder | 96ab97404d0c804e74d4042ae7986d1e515e9e64 | [
"MIT"
] | 14 | 2016-08-15T13:08:55.000Z | 2021-11-17T11:43:20.000Z | tests/test_binder_file_field.py | nstylo/django-binder | 96ab97404d0c804e74d4042ae7986d1e515e9e64 | [
"MIT"
] | 141 | 2016-08-14T15:36:35.000Z | 2022-02-17T08:53:52.000Z | tests/test_binder_file_field.py | nstylo/django-binder | 96ab97404d0c804e74d4042ae7986d1e515e9e64 | [
"MIT"
] | 18 | 2016-10-01T21:30:22.000Z | 2022-03-28T10:51:41.000Z | from os.path import basename
from io import BytesIO
from PIL import Image
from tempfile import NamedTemporaryFile
from django.test import TestCase, Client
from django.core.files.base import ContentFile
from django.core.files.uploadedfile import SimpleUploadedFile
from django.contrib.auth.models import User
from django... | 41.818182 | 1,876 | 0.732159 |
79742db71989bf3820d6c122bd65622eed5190cb | 4,736 | py | Python | tests/archives/grid_archive_test.py | icaros-usc/pyribs | ef289a930e7a8a51286cf657f7e4b29551277350 | [
"MIT"
] | 108 | 2021-01-30T10:54:07.000Z | 2022-03-20T20:49:31.000Z | tests/archives/grid_archive_test.py | icaros-usc/pyribs | ef289a930e7a8a51286cf657f7e4b29551277350 | [
"MIT"
] | 70 | 2021-01-29T10:12:36.000Z | 2022-03-26T22:22:05.000Z | tests/archives/grid_archive_test.py | icaros-usc/pyribs | ef289a930e7a8a51286cf657f7e4b29551277350 | [
"MIT"
] | 15 | 2021-01-30T18:48:59.000Z | 2022-03-31T16:28:41.000Z | """Tests for the GridArchive."""
import numpy as np
import pytest
from ribs.archives import AddStatus, GridArchive
from .conftest import get_archive_data
# pylint: disable = redefined-outer-name
@pytest.fixture
def data():
"""Data for grid archive tests."""
return get_archive_data("GridArchive")
def asse... | 39.466667 | 77 | 0.619088 |
79742ddcbfa6a23a9bbab75349d3ccab8e5a93a6 | 341 | py | Python | asr_deepspeech/data/loaders/audio_data_loader.py | shangdibufashi/ASRDeepSpeech | f11134abb79e98062fbc25fab99ca4cf675e538b | [
"MIT"
] | 44 | 2020-03-03T13:05:57.000Z | 2022-03-24T03:42:31.000Z | asr_deepspeech/data/loaders/audio_data_loader.py | shangdibufashi/ASRDeepSpeech | f11134abb79e98062fbc25fab99ca4cf675e538b | [
"MIT"
] | 6 | 2020-12-15T10:58:19.000Z | 2021-10-12T01:59:17.000Z | asr_deepspeech/data/loaders/audio_data_loader.py | shangdibufashi/ASRDeepSpeech | f11134abb79e98062fbc25fab99ca4cf675e538b | [
"MIT"
] | 13 | 2020-05-20T06:42:20.000Z | 2022-03-24T03:42:31.000Z | from torch.utils.data import DataLoader
from asr_deepspeech.functional import _collate_fn
class AudioDataLoader(DataLoader):
def __init__(self, *args, **kwargs):
"""
Creates a data loader for AudioDatasets.
"""
super(AudioDataLoader, self).__init__(*args, **kwargs)
self.coll... | 31 | 62 | 0.68915 |
79742e8d72593742f6c4368a3d3b3f85f1273a53 | 1,411 | py | Python | dvc/command/lock.py | 0xflotus/dvc | 940731941d834138019d77d8300e2e3aea8c78aa | [
"Apache-2.0"
] | 2 | 2021-09-22T15:31:46.000Z | 2021-11-17T10:40:07.000Z | dvc/command/lock.py | tdeboissiere/dvc | 99ef6081c119336d83473a7cdffc2e780bbcdd68 | [
"Apache-2.0"
] | null | null | null | dvc/command/lock.py | tdeboissiere/dvc | 99ef6081c119336d83473a7cdffc2e780bbcdd68 | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
import dvc.logger as logger
from dvc.exceptions import DvcException
from dvc.command.base import CmdBase
class CmdLockBase(CmdBase):
def run(self, unlock=False):
for target in self.args.targets:
try:
self.project.lock_stage(target, unloc... | 27.666667 | 78 | 0.622962 |
79742ec6b15b3f5fd52e282beea0fe0ff54427e9 | 194 | py | Python | bin/cubes/non-convex-pentacubes-diagonal-wall-5.py | tiwo/puzzler | 7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e | [
"Intel"
] | null | null | null | bin/cubes/non-convex-pentacubes-diagonal-wall-5.py | tiwo/puzzler | 7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e | [
"Intel"
] | null | null | null | bin/cubes/non-convex-pentacubes-diagonal-wall-5.py | tiwo/puzzler | 7ad3d9a792f0635f7ec59ffa85fb46b54fd77a7e | [
"Intel"
] | 1 | 2022-01-02T16:54:14.000Z | 2022-01-02T16:54:14.000Z | #!/usr/bin/env python
# $Id$
"""many solutions"""
import puzzler.puzzles
from puzzler.puzzles.pentacubes import NonConvexPentacubesDiagonalWall5
puzzler.run(NonConvexPentacubesDiagonalWall5)
| 19.4 | 71 | 0.814433 |
797430804be9f7920ac21c905d202449fc11eeb5 | 5,713 | py | Python | group_defender/defend/file.py | zeshuaro/telegram_group_guardian | 6edb315e36ffd7bbf5865b99c99e1a4b925c1704 | [
"MIT"
] | 3 | 2019-09-08T09:27:46.000Z | 2019-09-20T22:15:30.000Z | group_defender/defend/file.py | zeshuaro/telegram_group_guardian | 6edb315e36ffd7bbf5865b99c99e1a4b925c1704 | [
"MIT"
] | 1 | 2019-09-20T22:15:22.000Z | 2019-09-29T23:49:27.000Z | group_defender/defend/file.py | zeshuaro/telegram-group-defender | 6edb315e36ffd7bbf5865b99c99e1a4b925c1704 | [
"MIT"
] | null | null | null | import os
import requests
import tempfile
from dotenv import load_dotenv
from logbook import Logger
from moviepy.editor import VideoFileClip
from telegram import Chat, ChatMember, ChatAction
from telegram.constants import MAX_FILESIZE_DOWNLOAD
from telegram.ext.dispatcher import run_async
from group_defender.constant... | 30.388298 | 91 | 0.62349 |
797430c89ae5bbf85748e226dfe245d34b30fa42 | 221,674 | py | Python | impacket/smbserver.py | vbersier/impacket | f2af5a2699fddaace217dab204985895e9b7084d | [
"Apache-1.1"
] | 1 | 2021-03-15T20:05:05.000Z | 2021-03-15T20:05:05.000Z | impacket/smbserver.py | vbersier/impacket | f2af5a2699fddaace217dab204985895e9b7084d | [
"Apache-1.1"
] | null | null | null | impacket/smbserver.py | vbersier/impacket | f2af5a2699fddaace217dab204985895e9b7084d | [
"Apache-1.1"
] | 1 | 2020-12-29T14:00:13.000Z | 2020-12-29T14:00:13.000Z | # SECUREAUTH LABS. Copyright 2018 SecureAuth Corporation. All rights reserved.
#
# This software is provided under under a slightly modified version
# of the Apache Software License. See the accompanying LICENSE file
# for more information.
#
# Author: Alberto Solino (@agsolino)
#
# TODO:
# [-] Functions should return ... | 47.235031 | 223 | 0.582288 |
797430e0780ad10ee40c3a63e3d57423121ee30e | 8,802 | py | Python | tests/unit/pubsub_v1/subscriber/test_messages_on_hold.py | deckikwok/python-pubsub | 7e02bd8bc87676b0f38c90bc218dd4714f09f3a4 | [
"Apache-2.0"
] | 197 | 2020-02-05T10:31:11.000Z | 2022-03-30T07:42:05.000Z | tests/unit/pubsub_v1/subscriber/test_messages_on_hold.py | deckikwok/python-pubsub | 7e02bd8bc87676b0f38c90bc218dd4714f09f3a4 | [
"Apache-2.0"
] | 447 | 2020-01-31T13:26:45.000Z | 2022-03-31T01:12:32.000Z | tests/unit/pubsub_v1/subscriber/test_messages_on_hold.py | deckikwok/python-pubsub | 7e02bd8bc87676b0f38c90bc218dd4714f09f3a4 | [
"Apache-2.0"
] | 135 | 2020-02-03T20:51:40.000Z | 2022-03-22T08:37:16.000Z | # 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 or agreed to in writing,... | 32.007273 | 80 | 0.696433 |
7974317168309285cbd9ca3062d53698908fdd59 | 470 | py | Python | tests/test_utils.py | mimiyangc/www | 7de5246debe30a44b6a995e7b0e92f8404c36c7c | [
"MIT"
] | 27 | 2019-10-13T19:59:22.000Z | 2021-12-11T23:04:01.000Z | tests/test_utils.py | mimiyangc/www | 7de5246debe30a44b6a995e7b0e92f8404c36c7c | [
"MIT"
] | 230 | 2019-11-15T12:51:40.000Z | 2022-03-23T06:04:30.000Z | tests/test_utils.py | mimiyangc/www | 7de5246debe30a44b6a995e7b0e92f8404c36c7c | [
"MIT"
] | 21 | 2019-10-22T12:55:15.000Z | 2022-02-01T20:19:08.000Z | import pytest
from server.utils import is_static_asset
@pytest.mark.parametrize(
"url, is_static",
[
("/", False),
("/blog/", False),
("/static-typing/", False),
("/feed.rss", True),
("/feed.rss/", True),
("/static", True),
("/static/", True),
(... | 22.380952 | 60 | 0.546809 |
79743179202e871cdaefbbf03bc4ef427c32b449 | 611 | py | Python | src/devs/trevp-tlslite-cac0c81/tests/httpsclient.py | ptphp/PyLib | 07ac99cf2deb725475f5771b123b9ea1375f5e65 | [
"Apache-2.0"
] | 1 | 2020-02-17T08:18:29.000Z | 2020-02-17T08:18:29.000Z | src/devs/trevp-tlslite-cac0c81/tests/httpsclient.py | ptphp/PyLib | 07ac99cf2deb725475f5771b123b9ea1375f5e65 | [
"Apache-2.0"
] | null | null | null | src/devs/trevp-tlslite-cac0c81/tests/httpsclient.py | ptphp/PyLib | 07ac99cf2deb725475f5771b123b9ea1375f5e65 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from tlslite import HTTPTLSConnection, tackpyLoaded
if tackpyLoaded:
tackID = "BE1W1.AHUDE.GQIUT.TF9YC.3XVME"
else:
tackID = None
# GOOD TACK ID
h = HTTPTLSConnection("localhost", 4443, tackID=tackID, hardTack=True)
h.request("GET", "/index.html")
r = h.getresponse()
print r.read()
# ... | 25.458333 | 97 | 0.716858 |
79743188a586deef76d63a20ad423ed6dccf98b3 | 11,493 | py | Python | tensorboard/plugins/audio/audio_plugin_test.py | Digitaltransform/tensorboard | 75a3c4a8edaa64860951b5fec830accf53993510 | [
"Apache-2.0"
] | 6,139 | 2017-06-13T02:43:20.000Z | 2022-03-30T23:56:28.000Z | tensorboard/plugins/audio/audio_plugin_test.py | Digitaltransform/tensorboard | 75a3c4a8edaa64860951b5fec830accf53993510 | [
"Apache-2.0"
] | 3,239 | 2017-06-14T15:49:50.000Z | 2022-03-31T23:43:15.000Z | tensorboard/plugins/audio/audio_plugin_test.py | admariner/tensorboard | 931fdb84ed125efe5ef6cb0bad869c52da73e18f | [
"Apache-2.0"
] | 1,882 | 2017-06-15T01:33:54.000Z | 2022-03-30T15:27:25.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39.768166 | 83 | 0.564344 |
7974323eecfa6d69ec0a7b37bfd4edd8f7a49d2e | 7,826 | py | Python | SalishSeaTools/salishsea_tools/bio_tools.py | SalishSeaCast/tools | 4be9170bbe7ab700ab1b3afc3138e669053d43f8 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2020-06-23T16:09:00.000Z | 2022-01-11T17:37:37.000Z | SalishSeaTools/salishsea_tools/bio_tools.py | SalishSeaCast/tools | 4be9170bbe7ab700ab1b3afc3138e669053d43f8 | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2020-11-19T17:51:25.000Z | 2021-04-07T21:36:07.000Z | SalishSeaTools/salishsea_tools/bio_tools.py | SalishSeaCast/tools | 4be9170bbe7ab700ab1b3afc3138e669053d43f8 | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2020-05-15T03:34:47.000Z | 2021-11-24T22:39:16.000Z | # Copyright 2013-2021 The Salish Sea NEMO Project and
# The University of British Columbia
# 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
# U... | 43.72067 | 121 | 0.673013 |
7974331af278d1109d8b90888e81a5c80251a74d | 8,305 | py | Python | source/common/HandAndFoot.py | slwoodward/Remote-Card-Games | e4befc301a183d8dcb0fce30527a7a35e240e9ae | [
"MIT"
] | 2 | 2018-10-25T23:50:29.000Z | 2018-10-27T16:55:55.000Z | source/common/HandAndFoot.py | hwoodward/Remote-Card-Games | decee70c583ad1b856ff90639b35cb2e1862a1e8 | [
"MIT"
] | 84 | 2018-10-25T23:43:26.000Z | 2021-04-21T19:35:33.000Z | source/common/HandAndFoot.py | slwoodward/Remote-Card-Games | e4befc301a183d8dcb0fce30527a7a35e240e9ae | [
"MIT"
] | 2 | 2019-06-19T23:58:55.000Z | 2020-10-01T19:49:18.000Z | """This is the ruleset reference for HandAndFoot (hand and foot)
It defines:
- all the constants needed to set up and render the game for the server and client
- all the rule checking methods necessary for the client to play the game
"""
from common.Card import Card
import math
Game_Name = "Hand and Foot"
Shared_Bo... | 34.460581 | 120 | 0.645756 |
797433b56cdce790cfe87e84f97a08f51416ef80 | 3,955 | py | Python | pylearn2/models/tests/test_autoencoder.py | BouchardLab/pylearn2 | 4cab785b870d22cd9e85a5f536d4cac234b6bf60 | [
"BSD-3-Clause"
] | 1 | 2017-10-29T06:18:35.000Z | 2017-10-29T06:18:35.000Z | pylearn2/models/tests/test_autoencoder.py | BouchardLab/pylearn2 | 4cab785b870d22cd9e85a5f536d4cac234b6bf60 | [
"BSD-3-Clause"
] | null | null | null | pylearn2/models/tests/test_autoencoder.py | BouchardLab/pylearn2 | 4cab785b870d22cd9e85a5f536d4cac234b6bf60 | [
"BSD-3-Clause"
] | 1 | 2015-03-30T00:40:28.000Z | 2015-03-30T00:40:28.000Z | """
Tests for the pylearn2 autoencoder module.
"""
import os.path
import numpy as np
import theano
import theano.tensor as tensor
from theano import config
from pylearn2.models.autoencoder import Autoencoder, \
HigherOrderContractiveAutoencoder, DeepComposedAutoencoder, \
UntiedAutoencoder
from pylearn2.corrup... | 31.895161 | 78 | 0.672566 |
7974357361c583db1f36efc6376b386f5ee59744 | 228 | py | Python | PolyglotEn/__init__.py | EvgenSk/PolyglotEn | 77b989c7a3c44da0d552cd45759bc25865ec101b | [
"MIT"
] | null | null | null | PolyglotEn/__init__.py | EvgenSk/PolyglotEn | 77b989c7a3c44da0d552cd45759bc25865ec101b | [
"MIT"
] | null | null | null | PolyglotEn/__init__.py | EvgenSk/PolyglotEn | 77b989c7a3c44da0d552cd45759bc25865ec101b | [
"MIT"
] | null | null | null | import os
import sys
import azure.functions as func
dir_path = os.path.dirname(os.path.realpath(__file__))
sys.path.insert(0, dir_path)
from functions import run
async def main(msg: func.ServiceBusMessage):
await run(msg)
| 20.727273 | 54 | 0.776316 |
7974359d1d0ad25602f0eb8f99beed1245263264 | 603 | py | Python | ponio/ponio/__init__.py | Kivvix/miMaS | ad3894522e64f21827ba3b8f8d1a48c3dc9216e3 | [
"MIT"
] | 3 | 2019-01-03T22:31:03.000Z | 2020-02-29T06:12:07.000Z | ponio/ponio/__init__.py | Kivvix/miMaS | ad3894522e64f21827ba3b8f8d1a48c3dc9216e3 | [
"MIT"
] | null | null | null | ponio/ponio/__init__.py | Kivvix/miMaS | ad3894522e64f21827ba3b8f8d1a48c3dc9216e3 | [
"MIT"
] | 2 | 2019-11-20T12:36:44.000Z | 2020-02-29T06:17:16.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module to estimate numericlally CFL number of transport equation. The
most classical example of this library is estimate of CFL number with
varius RK(s,n) -- WENO5 couples. In fact the CFL number in that case
is an estimation with the linear case.
Some expor... | 28.714286 | 71 | 0.731343 |
797436238b0a7d893a8755e0bdd826f1fd0aaa96 | 3,840 | py | Python | models/seg/nets/pspnet.py | youansheng/PyTorchCV | 3a51b2f209639e58620676bf19b3564ef8c92a75 | [
"Apache-2.0"
] | 68 | 2019-01-10T09:16:39.000Z | 2022-03-20T18:23:52.000Z | models/seg/nets/pspnet.py | youdonny/torchcv | c7e717fe301ba338b3e9dbea70b51f3e2cd5dabe | [
"Apache-2.0"
] | 4 | 2019-01-10T11:47:09.000Z | 2019-01-21T15:04:52.000Z | models/seg/nets/pspnet.py | youdonny/torchcv | c7e717fe301ba338b3e9dbea70b51f3e2cd5dabe | [
"Apache-2.0"
] | 13 | 2019-01-11T06:13:40.000Z | 2021-05-22T03:09:52.000Z | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: Donny You(youansheng@gmail.com)
# Pytorch implementation of PSP net Synchronized Batch Normalization
# this is pytorch implementation of PSP resnet101 (syn-bn) version
import torch
import torch.nn as nn
import torch.nn.functional as F
from models.backbones.backb... | 37.281553 | 107 | 0.620573 |
797438685680f221ea46ccc143a60aa74239057a | 1,768 | py | Python | examples/camera/basic/main.py | wasimafser/plyer | 4b07158828dc50ca095de3156e43d9b4369de7b0 | [
"MIT"
] | null | null | null | examples/camera/basic/main.py | wasimafser/plyer | 4b07158828dc50ca095de3156e43d9b4369de7b0 | [
"MIT"
] | null | null | null | examples/camera/basic/main.py | wasimafser/plyer | 4b07158828dc50ca095de3156e43d9b4369de7b0 | [
"MIT"
] | null | null | null | """
Basic camera example
Default picture is saved as
/sdcard/org.test.cameraexample/enter_file_name_here.jpg
"""
from os import getcwd
from os.path import exists
from kivy.app import App
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.popup import Popup
import kivy
from plyer import camera
kivy.require('... | 23.573333 | 79 | 0.61595 |
797439676b598946cdef604f2ba84cbba3233754 | 9,423 | py | Python | Day 2/workshop/selected-downloads (26)/ML_Classifiers.py | heyudao/ISS | d076fca9b8783825ffe688fbbddb7ef45eae7cd1 | [
"MIT"
] | null | null | null | Day 2/workshop/selected-downloads (26)/ML_Classifiers.py | heyudao/ISS | d076fca9b8783825ffe688fbbddb7ef45eae7cd1 | [
"MIT"
] | null | null | null | Day 2/workshop/selected-downloads (26)/ML_Classifiers.py | heyudao/ISS | d076fca9b8783825ffe688fbbddb7ef45eae7cd1 | [
"MIT"
] | 1 | 2021-01-25T10:06:19.000Z | 2021-01-25T10:06:19.000Z | # -*- coding: utf-8 -*-
"""
Created on Fri Aug 23 17:03:52 2019
@author: isswan
"""
import sklearn
import nltk
import re
import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.model_selection import train_test_split
from sklearn.svm import SVC
... | 32.71875 | 378 | 0.707312 |
797439ddb8b8661bd44268436b88988a0b397683 | 2,414 | py | Python | infra_macros/macro_lib/convert/container_image/compiler/tests/sample_items.py | martarozek/buckit | 343cc5a5964c1d43902b6a77868652adaefa0caa | [
"BSD-3-Clause"
] | null | null | null | infra_macros/macro_lib/convert/container_image/compiler/tests/sample_items.py | martarozek/buckit | 343cc5a5964c1d43902b6a77868652adaefa0caa | [
"BSD-3-Clause"
] | null | null | null | infra_macros/macro_lib/convert/container_image/compiler/tests/sample_items.py | martarozek/buckit | 343cc5a5964c1d43902b6a77868652adaefa0caa | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import os
from ..items import CopyFileItem, MakeDirsItem, TarballItem, FilesystemRootItem
# Our target names are too long :(
T_BASE = (
'//tools/build/buck/infra_macros/macro_lib/convert/container_image/'
'compiler/tests'
)
# Use the "debug", human-readable forms of the image_feature t... | 31.350649 | 79 | 0.689312 |
79743a68a6ecc3b49e0986f4cab9ddbd1cf60b39 | 1,365 | py | Python | blog/urls.py | MarkdenToom/NASA-blog | 1b6a1e54b581fadaa09be9411f928d9ca9328b07 | [
"MIT"
] | null | null | null | blog/urls.py | MarkdenToom/NASA-blog | 1b6a1e54b581fadaa09be9411f928d9ca9328b07 | [
"MIT"
] | null | null | null | blog/urls.py | MarkdenToom/NASA-blog | 1b6a1e54b581fadaa09be9411f928d9ca9328b07 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('',views.PostListView.as_view(),name='post_list'),
path('archive_space_station/',views.ArchiveSpaceStationView.as_view(),name='archive_space_station'),
path('archive_hurricane_and_typhoon_updates/',views.ArchiveHurricaneAndTyphoonUpdates... | 62.045455 | 150 | 0.737729 |
79743a73ed959584b88334026820c367c3a7bfda | 6,992 | py | Python | mmdet/iounet/roi_generator.py | thisisi3/OpenMMLab-IoUNet | 23a9931627aa2bc15298d0379a81c2efde5e0297 | [
"Apache-2.0"
] | 20 | 2021-08-10T08:48:44.000Z | 2022-02-24T06:45:38.000Z | mmdet/iounet/roi_generator.py | thisisi3/OpenMMLab-IoUNet | 23a9931627aa2bc15298d0379a81c2efde5e0297 | [
"Apache-2.0"
] | 1 | 2021-12-07T08:43:35.000Z | 2021-12-09T04:28:38.000Z | mmdet/iounet/roi_generator.py | thisisi3/OpenMMLab-IoUNet | 23a9931627aa2bc15298d0379a81c2efde5e0297 | [
"Apache-2.0"
] | 2 | 2021-08-10T10:02:00.000Z | 2021-09-23T03:05:03.000Z | from mmdet.core import bbox_overlaps, bbox_xyxy_to_cxcywh, bbox_cxcywh_to_xyxy
from .utils import clip_bboxes_to_image
import math, torch
class RoIGenerator(torch.nn.Module):
"""It generates IoU balanced rois from a given set of GT bboxes.
We use delta since it is scale-invariant. A large amount of del... | 43.160494 | 100 | 0.59282 |
79743ac5590ed024ede8da444a2fd936778e4efb | 7,384 | py | Python | Lib/site-packages/isapi/threaded_extension.py | egorcompany/telegram-chat-members | 19a7c2bffe2fb832b79a4475ca324c438d5f548d | [
"MIT"
] | 3 | 2016-11-24T03:57:22.000Z | 2019-02-27T15:19:50.000Z | Lib/site-packages/isapi/threaded_extension.py | egorcompany/telegram-chat-members | 19a7c2bffe2fb832b79a4475ca324c438d5f548d | [
"MIT"
] | 67 | 2016-10-19T01:23:47.000Z | 2016-12-14T04:30:38.000Z | Lib/site-packages/isapi/threaded_extension.py | egorcompany/telegram-chat-members | 19a7c2bffe2fb832b79a4475ca324c438d5f548d | [
"MIT"
] | 1 | 2019-04-07T08:33:09.000Z | 2019-04-07T08:33:09.000Z | """An ISAPI extension base class implemented using a thread-pool."""
# $Id$
import sys
import time
from isapi import isapicon, ExtensionError
import isapi.simple
from win32file import GetQueuedCompletionStatus, CreateIoCompletionPort, \
PostQueuedCompletionStatus, CloseHandle
from win32s... | 42.930233 | 86 | 0.619989 |
79743b967b9641a77463cf71a94b90c2fe99c513 | 723 | py | Python | src/main/python/plugin_html.py | infotexture/ofexport | 644c63c6769c7da1db8ab9fce84a94d2be3dddc9 | [
"Apache-2.0"
] | 17 | 2015-04-02T08:25:45.000Z | 2021-03-21T08:10:21.000Z | src/main/python/plugin_html.py | infotexture/ofexport | 644c63c6769c7da1db8ab9fce84a94d2be3dddc9 | [
"Apache-2.0"
] | null | null | null | src/main/python/plugin_html.py | infotexture/ofexport | 644c63c6769c7da1db8ab9fce84a94d2be3dddc9 | [
"Apache-2.0"
] | 10 | 2015-01-05T16:11:45.000Z | 2021-07-20T20:57:29.000Z | from fmt_template import Formatter, format_document
from ofexport import load_template
def escape (val):
return val.replace('"','"').replace('&','&').replace('<','<').replace('>','>')
def generate (out, root_project, root_context, project_mode, template_dir, type_config):
subject = root_project... | 48.2 | 120 | 0.719225 |
79743caf7fecddd4bf4ae3ef27fc9f07de1b7e60 | 3,423 | py | Python | graphgallery/datasets/in_memory_dataset.py | kisekizzz/GraphGallery | fd4a1f474c244f774397460ae95935638ef48f5b | [
"MIT"
] | null | null | null | graphgallery/datasets/in_memory_dataset.py | kisekizzz/GraphGallery | fd4a1f474c244f774397460ae95935638ef48f5b | [
"MIT"
] | null | null | null | graphgallery/datasets/in_memory_dataset.py | kisekizzz/GraphGallery | fd4a1f474c244f774397460ae95935638ef48f5b | [
"MIT"
] | null | null | null | import os
import json
import os.path as osp
import numpy as np
import networkx as nx
import pickle as pkl
from typing import Optional, List, Tuple, Callable, Union
from .dataset import Dataset
from ..data.io import makedirs, files_exist, download_file, extract_zip, clean
Transform = Union[List, Tuple, st... | 29.508621 | 136 | 0.581654 |
79743d420befdc72285519e1a70c0a5d689ec4ab | 5,873 | py | Python | .nox/tests/lib/python3.7/site-packages/tensorflow_probability/python/bijectors/__init__.py | antonevenepoel/open_spiel | f2f0c786410018675fc40e9a5b82c40814555fa8 | [
"Apache-2.0"
] | null | null | null | .nox/tests/lib/python3.7/site-packages/tensorflow_probability/python/bijectors/__init__.py | antonevenepoel/open_spiel | f2f0c786410018675fc40e9a5b82c40814555fa8 | [
"Apache-2.0"
] | null | null | null | .nox/tests/lib/python3.7/site-packages/tensorflow_probability/python/bijectors/__init__.py | antonevenepoel/open_spiel | f2f0c786410018675fc40e9a5b82c40814555fa8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 46.611111 | 112 | 0.825813 |
79743db47a7f6fe6389cedb1e6cedc95e7a3fbac | 153 | py | Python | blobtest/blobs/admin.py | falinwang/dj4e-samples | f55f021a2901195975a7375000e9f2b7564f82ad | [
"MIT"
] | null | null | null | blobtest/blobs/admin.py | falinwang/dj4e-samples | f55f021a2901195975a7375000e9f2b7564f82ad | [
"MIT"
] | null | null | null | blobtest/blobs/admin.py | falinwang/dj4e-samples | f55f021a2901195975a7375000e9f2b7564f82ad | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
from blobs.models import Blob, File
admin.site.register(Blob)
admin.site.register(File)
| 17 | 35 | 0.79085 |
79743e861104635c6781a009a9e90798f5f2393a | 78 | py | Python | settings_model/__init__.py | gregschmit/django-settings-model | ba8e3302291f367247624dbf47a9d70ceaa4ef8f | [
"MIT"
] | 1 | 2021-09-23T09:43:33.000Z | 2021-09-23T09:43:33.000Z | settings_model/__init__.py | gregschmit/django-settings-model | ba8e3302291f367247624dbf47a9d70ceaa4ef8f | [
"MIT"
] | null | null | null | settings_model/__init__.py | gregschmit/django-settings-model | ba8e3302291f367247624dbf47a9d70ceaa4ef8f | [
"MIT"
] | 2 | 2021-02-22T11:20:42.000Z | 2021-02-25T05:11:29.000Z | __version__ = "0.6.0"
default_app_config = "settings_model.apps.CustomConfig"
| 26 | 55 | 0.794872 |
79743ecc8b73016add09bc396e4ce15e9c6d277b | 1,433 | py | Python | accounts/migrations/0002_order_product.py | julesc00/crm | ee2264ec2065fed67119eda4a08ab5b985912fcf | [
"MIT"
] | null | null | null | accounts/migrations/0002_order_product.py | julesc00/crm | ee2264ec2065fed67119eda4a08ab5b985912fcf | [
"MIT"
] | null | null | null | accounts/migrations/0002_order_product.py | julesc00/crm | ee2264ec2065fed67119eda4a08ab5b985912fcf | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2020-07-31 11:36
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Order',
fields=[
('id', m... | 42.147059 | 175 | 0.579902 |
79743f491f0b993a1db4cd3baa6c22a327f5e3a0 | 353,172 | py | Python | openapi_client/api/settings_api.py | hi-artem/twistlock-py | 9888e905f5b9d3cc00f9b84244588c0992f8e4f4 | [
"RSA-MD"
] | null | null | null | openapi_client/api/settings_api.py | hi-artem/twistlock-py | 9888e905f5b9d3cc00f9b84244588c0992f8e4f4 | [
"RSA-MD"
] | null | null | null | openapi_client/api/settings_api.py | hi-artem/twistlock-py | 9888e905f5b9d3cc00f9b84244588c0992f8e4f4 | [
"RSA-MD"
] | null | null | null | # coding: utf-8
"""
Prisma Cloud Compute API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: 21.04.439
Generated by: https://openapi-generator.tech
"""
from __future__ import absolute_impor... | 42.684554 | 182 | 0.597151 |
79743f848f12e55b91e1c4a9351cae4d98766cc2 | 4,030 | py | Python | redmapper/calibration/selectspecseeds.py | jacobic/redmapper | bda5bd6f486fd5f18d35aa9ae4b875628e905604 | [
"Apache-2.0"
] | 17 | 2016-03-06T07:51:02.000Z | 2022-02-03T15:17:26.000Z | redmapper/calibration/selectspecseeds.py | jacobic/redmapper | bda5bd6f486fd5f18d35aa9ae4b875628e905604 | [
"Apache-2.0"
] | 42 | 2016-07-27T20:48:20.000Z | 2022-01-31T20:47:51.000Z | redmapper/calibration/selectspecseeds.py | jacobic/redmapper | bda5bd6f486fd5f18d35aa9ae4b875628e905604 | [
"Apache-2.0"
] | 8 | 2017-01-26T01:38:41.000Z | 2020-11-14T07:41:53.000Z | """Select seed galaxies
"""
import os
import numpy as np
import fitsio
import esutil
from ..configuration import Configuration
from ..galaxy import GalaxyCatalog
from ..catalog import Catalog
class SelectSpecSeeds(object):
"""
Class to match a galaxy catalog to a spectroscopic catalog to create seeds
for ... | 34.152542 | 93 | 0.480645 |
79744008b5b6a88b62093342d0542b31746853ee | 9,001 | py | Python | graphlca.py | BlueSmiley/Least-Common-Ancestor | d97759299629c9f90c0732e33765dea3dd5589a3 | [
"MIT"
] | null | null | null | graphlca.py | BlueSmiley/Least-Common-Ancestor | d97759299629c9f90c0732e33765dea3dd5589a3 | [
"MIT"
] | null | null | null | graphlca.py | BlueSmiley/Least-Common-Ancestor | d97759299629c9f90c0732e33765dea3dd5589a3 | [
"MIT"
] | null | null | null |
class LCAGraph(object):
"""
Create graphs with which the lowest common ancestor of nodes can be found
Offers functionality to add nodes and edges between nodes to an instance
of the class which represents a directed acyclic graph.
Allows keys of any type for nodes as long as __eq__ and __hash__ is... | 42.658768 | 80 | 0.630708 |
7974408d76f22078aade477a5995e12c312e11aa | 104 | py | Python | torchpq/index/__init__.py | DeMoriarty/TorchPQ | 16e3b3c3c3c701f3772de46075d2fc78ce80a153 | [
"MIT"
] | 103 | 2021-02-10T18:01:56.000Z | 2022-03-30T21:35:05.000Z | torchpq/index/__init__.py | DeMoriarty/TorchPQ | 16e3b3c3c3c701f3772de46075d2fc78ce80a153 | [
"MIT"
] | 9 | 2021-05-28T14:52:33.000Z | 2022-03-03T13:09:25.000Z | torchpq/index/__init__.py | DeMoriarty/TorchPQ | 16e3b3c3c3c701f3772de46075d2fc78ce80a153 | [
"MIT"
] | 10 | 2021-04-24T04:25:24.000Z | 2022-02-24T07:30:42.000Z | from .FlatIndex import FlatIndex
from .IVFPQIndex import IVFPQIndex
from .IVFPQRIndex import IVFPQRIndex | 34.666667 | 36 | 0.865385 |
7974423b651cde6f5932dcc1f6ec1d7f610836b5 | 5,527 | py | Python | pre_commit/commands/install_uninstall.py | themr0c/pre-commit | a737d5fe2f083150b31425777eed0803a0ca23e0 | [
"MIT"
] | 1 | 2021-12-02T06:45:37.000Z | 2021-12-02T06:45:37.000Z | pre_commit/commands/install_uninstall.py | macoMarv86/pre-commit | 1c3a51bff7246f0922ede78ea12ed21d4183379c | [
"MIT"
] | null | null | null | pre_commit/commands/install_uninstall.py | macoMarv86/pre-commit | 1c3a51bff7246f0922ede78ea12ed21d4183379c | [
"MIT"
] | null | null | null | import itertools
import logging
import os.path
import shlex
import shutil
import sys
from typing import Optional
from typing import Sequence
from typing import Tuple
from pre_commit import git
from pre_commit import output
from pre_commit.clientlib import load_config
from pre_commit.repository import all_hooks
from pr... | 31.582857 | 79 | 0.671069 |
797442930841b2a051e89d711d537da83ec6d66a | 2,682 | py | Python | docs/pyqt/todopw/todopw_z5.py | damiankarol7/python101 | 1978a9402a8fb0f20c4ca7bd542cb8d7d4501b9b | [
"MIT"
] | 44 | 2015-02-11T19:10:37.000Z | 2021-11-11T09:45:43.000Z | docs/pyqt/todopw/todopw_z5.py | damiankarol7/python101 | 1978a9402a8fb0f20c4ca7bd542cb8d7d4501b9b | [
"MIT"
] | 9 | 2015-02-06T21:26:25.000Z | 2022-03-31T10:44:22.000Z | docs/pyqt/todopw/todopw_z5.py | damiankarol7/python101 | 1978a9402a8fb0f20c4ca7bd542cb8d7d4501b9b | [
"MIT"
] | 172 | 2015-06-13T07:16:24.000Z | 2022-03-30T20:41:11.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from PyQt5.QtWidgets import QApplication, QWidget
from PyQt5.QtWidgets import QMessageBox, QInputDialog
from gui_z5 import Ui_Widget, LoginDialog
import baza_z5 as baza
from tabmodel_z5 import TabModel
class Zadania(QWidget, Ui_Widget)... | 33.111111 | 79 | 0.596943 |
797442b28b688aa69587f15196a83a2c2cfbef31 | 1,111 | py | Python | tests/unittests/models/layers/test_multi_head_attention_with_lrp.py | jaelgu/towhee | 34c79cf50831dc271ae0ab02f319f9e355c2d0bf | [
"Apache-2.0"
] | null | null | null | tests/unittests/models/layers/test_multi_head_attention_with_lrp.py | jaelgu/towhee | 34c79cf50831dc271ae0ab02f319f9e355c2d0bf | [
"Apache-2.0"
] | null | null | null | tests/unittests/models/layers/test_multi_head_attention_with_lrp.py | jaelgu/towhee | 34c79cf50831dc271ae0ab02f319f9e355c2d0bf | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Zilliz. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agree... | 33.666667 | 74 | 0.70477 |
797443f8b1ab92b24c2eeec33b1cda92c5e5ce53 | 4,213 | py | Python | recipes/gtest/all/conanfile.py | Psy-Kai/conan-center-index | 90425585faa2619cda946f779db6d33db7c66323 | [
"MIT"
] | null | null | null | recipes/gtest/all/conanfile.py | Psy-Kai/conan-center-index | 90425585faa2619cda946f779db6d33db7c66323 | [
"MIT"
] | null | null | null | recipes/gtest/all/conanfile.py | Psy-Kai/conan-center-index | 90425585faa2619cda946f779db6d33db7c66323 | [
"MIT"
] | null | null | null | import glob
import os
from conans import ConanFile, CMake, tools
from conans.model.version import Version
from conans.errors import ConanInvalidConfiguration
class GTestConan(ConanFile):
name = "gtest"
description = "Google's C++ test framework"
url = "https://github.com/conan-io/conan-center-index"
h... | 45.301075 | 173 | 0.648469 |
7974455b0df897fb8952b1de5814c0c8cf3d6bad | 2,929 | py | Python | fashion_MNIST.py | tanmay7270/Playing-with-PyTorch | 9ace9c93823010a91cdf9206c2d57d3dc10d821f | [
"MIT"
] | null | null | null | fashion_MNIST.py | tanmay7270/Playing-with-PyTorch | 9ace9c93823010a91cdf9206c2d57d3dc10d821f | [
"MIT"
] | null | null | null | fashion_MNIST.py | tanmay7270/Playing-with-PyTorch | 9ace9c93823010a91cdf9206c2d57d3dc10d821f | [
"MIT"
] | null | null | null | import torch
from torchvision import datasets, transforms
from torch import nn, optim
import torch.nn.functional as F
# Define a transform to normalize the data
transform = transforms.Compose([transforms.ToTensor(),
transforms.Normalize((0.5, 0.5, 0.5), (0.5, 0.5, 0.5))])
# Download and... | 29.585859 | 108 | 0.624445 |
7974455eee0cea70ed9e538d39f7bc52333f6beb | 5,626 | py | Python | quotesbot/pipelines.py | cankaya07/Window | 22ddbdf2c9ceb90584627ccc1e62eb44a4586945 | [
"MIT"
] | null | null | null | quotesbot/pipelines.py | cankaya07/Window | 22ddbdf2c9ceb90584627ccc1e62eb44a4586945 | [
"MIT"
] | 1 | 2018-06-29T11:05:56.000Z | 2018-06-29T11:05:56.000Z | quotesbot/pipelines.py | cankaya07/Window | 22ddbdf2c9ceb90584627ccc1e62eb44a4586945 | [
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Define your item pipelines here
#
# Don't forget to add your pipeline to the ITEM_PIPELINES setting
# See: http://doc.scrapy.org/en/latest/topics/item-pipeline.html
import json
import os
import re
import requests
import pymongo
from urllib.parse import urljoin
from scrapy.exceptions impor... | 31.255556 | 82 | 0.573409 |
7974488b10a095f71328688b20997cf971031663 | 1,225 | py | Python | drina/packages.py | KTH-dESA/UNECE-Capacity-building | 5163cf6c7c86aa2774c7f6072ada0e4b90cc8e9a | [
"MIT"
] | null | null | null | drina/packages.py | KTH-dESA/UNECE-Capacity-building | 5163cf6c7c86aa2774c7f6072ada0e4b90cc8e9a | [
"MIT"
] | 2 | 2021-07-03T08:33:21.000Z | 2021-07-06T07:58:42.000Z | drina/packages.py | KTH-dESA/UNECE-Capacity-building | 5163cf6c7c86aa2774c7f6072ada0e4b90cc8e9a | [
"MIT"
] | 1 | 2021-07-06T14:40:15.000Z | 2021-07-06T14:40:15.000Z | # This file imports all the packages
import pandas as pd
pd.set_option('mode.chained_assignment', None)
import numpy as np
from IPython.display import HTML
import IPython.core.display as di
import plotly as py
import cufflinks
import plotly.offline as pyo
from plotly.offline import plot, iplot, init_notebook_mode
pyo.i... | 29.166667 | 92 | 0.826122 |
797448d2f8a7a59f3e7024a20c794dbb7174dc91 | 25,761 | py | Python | detectron2/data/datasets/coco.py | chaoso/Detectron2-deepfashion2 | 50e585f65a553f52400fc22b55746e52c39ec06f | [
"Apache-2.0"
] | 3 | 2019-11-28T01:48:12.000Z | 2020-03-20T11:45:10.000Z | detectron2/data/datasets/coco.py | chaoso/Detectron2-deepfashion2 | 50e585f65a553f52400fc22b55746e52c39ec06f | [
"Apache-2.0"
] | null | null | null | detectron2/data/datasets/coco.py | chaoso/Detectron2-deepfashion2 | 50e585f65a553f52400fc22b55746e52c39ec06f | [
"Apache-2.0"
] | 2 | 2020-09-29T03:16:39.000Z | 2021-09-09T03:56:55.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import contextlib
import io
import logging
import os
from PIL import Image
from fvcore.common.file_io import PathManager
from fvcore.common.timer import Timer
from detectron2.structures import BoxMode
from .. import MetadataCatalog, DatasetCatalog... | 60.900709 | 208 | 0.514188 |
7974498f55e694da2deb80f3338eac69227295ed | 8,207 | py | Python | encoder.py | Anpopaicoconat/Poly-Encoder | 779a6ec19bd6477947fcf44199fa06fc6353e18a | [
"MIT"
] | null | null | null | encoder.py | Anpopaicoconat/Poly-Encoder | 779a6ec19bd6477947fcf44199fa06fc6353e18a | [
"MIT"
] | null | null | null | encoder.py | Anpopaicoconat/Poly-Encoder | 779a6ec19bd6477947fcf44199fa06fc6353e18a | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from transformers import BertPreTrainedModel, BertModel
class BiEncoder(BertPreTrainedModel):
def __init__(self, config, *inputs, **kwargs):
super().__init__(config, *inputs, **kwargs)
self.bert = kwargs['bert']
... | 50.660494 | 122 | 0.630559 |
79744ab1469f1a16fe4602c2e34007589608d96f | 72 | py | Python | inference-engine/ie_bridges/python/src/openvino/inference_engine/dnn_builder/__init__.py | apexxs/dldt | 17e66dc5a6631d630da454506902bd7c25d4170b | [
"Apache-2.0"
] | 2 | 2021-04-19T06:08:35.000Z | 2021-08-25T02:43:43.000Z | inference-engine/ie_bridges/python/src/openvino/inference_engine/dnn_builder/__init__.py | apexxs/dldt | 17e66dc5a6631d630da454506902bd7c25d4170b | [
"Apache-2.0"
] | 6 | 2022-01-11T18:56:22.000Z | 2022-02-21T13:20:20.000Z | inference-engine/ie_bridges/python/src/openvino/inference_engine/dnn_builder/__init__.py | apexxs/dldt | 17e66dc5a6631d630da454506902bd7c25d4170b | [
"Apache-2.0"
] | 3 | 2021-02-05T17:11:17.000Z | 2021-04-19T08:33:31.000Z | from .dnn_builder import *
__all__ = ["NetworkBuilder", "LayerBuilder"]
| 24 | 44 | 0.75 |
79744ad7e9e479d5f780171a3ecbcbb707d778b5 | 895 | py | Python | pype/hosts/blender/plugins/create/create_animation.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | pype/hosts/blender/plugins/create/create_animation.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | pype/hosts/blender/plugins/create/create_animation.py | simonebarbieri/pype | a6dc83aa1300738749cbe8e5e2e6d2d1794e0289 | [
"MIT"
] | null | null | null | """Create an animation asset."""
import bpy
from avalon import api, blender
import pype.hosts.blender.api.plugin
class CreateAnimation(pype.hosts.blender.api.plugin.Creator):
"""Animation output for character rigs"""
name = "animationMain"
label = "Animation"
family = "animation"
icon = "male"
... | 28.870968 | 70 | 0.653631 |
79744b5c200c1de296afe11d2938cd550d69fd21 | 1,110 | py | Python | agents/plastic/model/LearningPLASTICModel.py | jmribeiro/PLASTIC-Algorithms | c59ad567a906f320220a09caff64c4a6273151f8 | [
"Apache-2.0"
] | 5 | 2020-10-20T17:00:07.000Z | 2022-03-11T06:23:09.000Z | agents/plastic/model/LearningPLASTICModel.py | jmribeiro/PLASTIC-Algorithms | c59ad567a906f320220a09caff64c4a6273151f8 | [
"Apache-2.0"
] | 2 | 2020-12-05T05:56:57.000Z | 2021-06-05T08:11:35.000Z | agents/plastic/model/LearningPLASTICModel.py | jmribeiro/PLASTIC-Algorithms | c59ad567a906f320220a09caff64c4a6273151f8 | [
"Apache-2.0"
] | null | null | null | from agents.networks.TeamModel import TeamModel
from agents.plastic.PLASTICPrior import PLASTICPrior
from yaaf import mkdir
class LearningPLASTICModel(PLASTICPrior):
def __init__(self, num_teammates):
self.teammates_model = TeamModel(num_teammates, trainable=True)
super().__init__("new", num_team... | 30 | 76 | 0.625225 |
79744e04f22e038d8b70fbef845d1bd2656af51b | 6,202 | py | Python | nifti/tests/test_analyze.py | cburns/pynifti | 12c0314994a1061b573990dbd46ea8e35cec8e60 | [
"MIT"
] | 1 | 2017-12-11T11:47:00.000Z | 2017-12-11T11:47:00.000Z | nifti/tests/test_analyze.py | cburns/pynifti | 12c0314994a1061b573990dbd46ea8e35cec8e60 | [
"MIT"
] | null | null | null | nifti/tests/test_analyze.py | cburns/pynifti | 12c0314994a1061b573990dbd46ea8e35cec8e60 | [
"MIT"
] | null | null | null | ''' Test analyze headers
See test_binary.py for general binary header tests
This - basic - analyze header cannot encode full affines (only
diagonal affines), and cannot do integer scaling.
The inability to do affines raises the problem of whether the image is
neurological (left is left), or radiological (left is rig... | 35.643678 | 98 | 0.657691 |
797450189fee869f5a69aae8b2484a56e6d0f78b | 4,419 | py | Python | ansible/modules/web_infrastructure/ansible_tower/tower_job_wait.py | EnjoyLifeFund/macHighSierra-py36-pkgs | 5668b5785296b314ea1321057420bcd077dba9ea | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 1 | 2022-01-25T22:52:58.000Z | 2022-01-25T22:52:58.000Z | ansible/modules/web_infrastructure/ansible_tower/tower_job_wait.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | ansible/modules/web_infrastructure/ansible_tower/tower_job_wait.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | null | null | null | #!/usr/bin/python
# coding: utf-8 -*-
# (c) 2017, Wayne Witzel III <wayne@riotousliving.com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1... | 26.945122 | 115 | 0.656483 |
797450cc829e146e4073d8729311f8b44c257cee | 661 | py | Python | build/hector_gazebo_thermal_camera/catkin_generated/pkg.develspace.context.pc.py | arijitnoobstar/UAVProjectileCatcher | 3c1bed80df167192cb4b971b58c891187628142e | [
"Apache-2.0"
] | 10 | 2021-03-15T03:58:06.000Z | 2021-12-30T15:33:38.000Z | build/hector_gazebo_thermal_camera/catkin_generated/pkg.develspace.context.pc.py | arijitnoobstar/UAVProjectileCatcher | 3c1bed80df167192cb4b971b58c891187628142e | [
"Apache-2.0"
] | 1 | 2021-09-09T15:29:31.000Z | 2021-09-09T15:29:31.000Z | build/hector_gazebo_thermal_camera/catkin_generated/pkg.develspace.context.pc.py | arijitnoobstar/UAVProjectileCatcher | 3c1bed80df167192cb4b971b58c891187628142e | [
"Apache-2.0"
] | 4 | 2021-03-06T09:35:58.000Z | 2021-05-24T14:34:11.000Z | # generated from catkin/cmake/template/pkg.context.pc.in
CATKIN_PACKAGE_PREFIX = ""
PROJECT_PKG_CONFIG_INCLUDE_DIRS = "/home/arijitnoobstar/UAVProjectileCatcher/src/src/hector_gazebo/hector_gazebo_thermal_camera/include".split(';') if "/home/arijitnoobstar/UAVProjectileCatcher/src/src/hector_gazebo/hector_gazebo_therma... | 73.444444 | 267 | 0.804841 |
797451aa239fbc5eb948a8d281a6bc85238e8320 | 1,544 | py | Python | tests/test_cfn.py | serverless/serverless-helpers-py | d14bdef5c471d4352ffa703aca42b4250be1cbbf | [
"MIT"
] | 12 | 2016-03-15T17:39:41.000Z | 2020-05-08T09:05:31.000Z | tests/test_cfn.py | serverless/serverless-helpers-py | d14bdef5c471d4352ffa703aca42b4250be1cbbf | [
"MIT"
] | 2 | 2016-10-04T23:45:17.000Z | 2018-07-20T16:36:23.000Z | tests/test_cfn.py | serverless/serverless-helpers-py | d14bdef5c471d4352ffa703aca42b4250be1cbbf | [
"MIT"
] | 3 | 2016-03-29T17:53:14.000Z | 2020-11-28T14:50:04.000Z | # -*- coding: utf-8 -*-
# MIT Licensed, Copyright (c) 2016 Ryan Scott Brown <sb@ryansb.com>
import os
from placebo.utils import placebo_session
import serverless_helpers
def test_unset_environment():
os.environ.pop('SERVERLESS_PROJECT_NAME', None)
os.environ.pop('SERVERLESS_STAGE', None)
stack_name = ser... | 36.761905 | 98 | 0.689119 |
797451ec696c361dfe5500a8ac9d795fdb671d51 | 1,093 | py | Python | setup.py | goodarzilab/ciberatac | 58c150813cfdf1cea160b9b2c464c382cb0f7395 | [
"BSD-3-Clause"
] | 3 | 2022-02-25T19:24:52.000Z | 2022-03-22T16:48:07.000Z | setup.py | goodarzilab/ciberatac | 58c150813cfdf1cea160b9b2c464c382cb0f7395 | [
"BSD-3-Clause"
] | null | null | null | setup.py | goodarzilab/ciberatac | 58c150813cfdf1cea160b9b2c464c382cb0f7395 | [
"BSD-3-Clause"
] | null | null | null | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="CiberATAC",
version="0.0.1",
author="Mehran Karimzadeh",
author_email="mehran.karimzadeh@uhnresearch.ca",
description="Deep learning model for deconvolving chromatin acce... | 29.540541 | 79 | 0.604758 |
79745327f712e7b9d695d58b4d44a695c0d7a7cc | 700 | py | Python | Leetcode/0358. Rearrange String k Distance Apart/0358.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | Leetcode/0358. Rearrange String k Distance Apart/0358.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | Leetcode/0358. Rearrange String k Distance Apart/0358.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | class Solution:
def rearrangeString(self, s: str, k: int) -> str:
n = len(s)
ans = []
count = Counter(s)
valid = Counter() # valid[i] := the leftmost index i can appear
# return the letter that has most count and also valid
def getBestLetter(index: int) -> chr:
maxCount = -1
best... | 24.137931 | 70 | 0.545714 |
79745337ddb2f3c2d397866d0940ff9b415de322 | 85 | py | Python | naplib/utils/__init__.py | gavinmischler/naplib-python | 8cd7a0fc700f1c07243169ec42fc087955885adc | [
"MIT"
] | 1 | 2022-03-02T20:54:23.000Z | 2022-03-02T20:54:23.000Z | naplib/utils/__init__.py | gavinmischler/gavlib | cacf9180b1442e4aed98b6182d586747a6d6ef90 | [
"MIT"
] | null | null | null | naplib/utils/__init__.py | gavinmischler/gavlib | cacf9180b1442e4aed98b6182d586747a6d6ef90 | [
"MIT"
] | null | null | null | from .argchecking import _parse_outstruct_args
__all__ = ['_parse_outstruct_args']
| 17 | 46 | 0.823529 |
7974542530d3b117e4dc2cf392cc299d27f818dc | 1,409 | py | Python | app/routes.py | ender18g/ew370 | a4a8af973adc37a02eb9148fed67e857a614faaf | [
"MIT"
] | null | null | null | app/routes.py | ender18g/ew370 | a4a8af973adc37a02eb9148fed67e857a614faaf | [
"MIT"
] | null | null | null | app/routes.py | ender18g/ew370 | a4a8af973adc37a02eb9148fed67e857a614faaf | [
"MIT"
] | null | null | null | from app import app
from app import db
from flask import render_template, url_for, request, jsonify, redirect
import json
from app.models import Comment
# def get_mlData():
# with open ('app/static/brain-examples/ml_data.json','r') as f:
# return json.load(f)
# def save_mlData(ml_data):
# with open ('app/sta... | 30.630435 | 95 | 0.672818 |
79745440690912d1c90fb8a059081b6c48dfe2f4 | 7,859 | py | Python | skcriteria/core/methods.py | leliel12/scikitcriteria | f13a75b5a39cd2d3db30a37b69e61a2814a5cea4 | [
"BSD-3-Clause"
] | 7 | 2021-12-01T02:52:23.000Z | 2022-03-13T11:12:52.000Z | skcriteria/core/methods.py | leliel12/scikitcriteria | f13a75b5a39cd2d3db30a37b69e61a2814a5cea4 | [
"BSD-3-Clause"
] | 16 | 2021-11-06T21:31:36.000Z | 2022-02-21T22:43:38.000Z | skcriteria/core/methods.py | leliel12/scikitcriteria | f13a75b5a39cd2d3db30a37b69e61a2814a5cea4 | [
"BSD-3-Clause"
] | 3 | 2021-12-24T04:33:07.000Z | 2022-01-20T15:03:41.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# License: BSD-3 (https://tldrlegal.com/license/bsd-3-clause-license-(revised))
# Copyright (c) 2016-2021, Cabral, Juan; Luczywo, Nadia
# Copyright (c) 2022, QuatroPe
# All rights reserved.
# =============================================================================
# D... | 29.656604 | 80 | 0.572083 |
79745461c91f50067b29ab271eb29441b774c5bf | 24,105 | py | Python | ot/gromov.py | dmelis/POT | 7471b7a16577d66e907e10e08bf3bbcded19551c | [
"MIT"
] | null | null | null | ot/gromov.py | dmelis/POT | 7471b7a16577d66e907e10e08bf3bbcded19551c | [
"MIT"
] | null | null | null | ot/gromov.py | dmelis/POT | 7471b7a16577d66e907e10e08bf3bbcded19551c | [
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Gromov-Wasserstein transport method
"""
# Author: Erwan Vautier <erwan.vautier@gmail.com>
# Nicolas Courty <ncourty@irisa.fr>
# Rémi Flamary <remi.flamary@unice.fr>
#
# License: MIT License
import numpy as np
from .bregman import sinkhorn
from .utils im... | 29.468215 | 112 | 0.555569 |
7974546a6d4f55bebba05927f4904267797149dd | 3,776 | py | Python | databasic/logic/oauth.py | schoolofdata-ch/DataBasic | 9faba7a2d583653aab6d36c01bc878d3cc328b1a | [
"MIT"
] | 4 | 2021-04-12T22:30:26.000Z | 2022-03-09T14:07:36.000Z | databasic/logic/oauth.py | schoolofdata-ch/DataBasic | 9faba7a2d583653aab6d36c01bc878d3cc328b1a | [
"MIT"
] | 4 | 2020-10-08T10:53:54.000Z | 2021-01-24T18:54:49.000Z | databasic/logic/oauth.py | rahulbot/DataBasic | bf643b1c640bfdf1fb8619024a38c8b802d1576c | [
"MIT"
] | null | null | null | import os, sys, json, gspread, logging
import gdata.docs.service
from oauth2client.client import SignedJwtAssertionCredentials, OAuth2WebServerFlow
_oauth = None # singleton instance
logger = logging.getLogger(__name__)
'''
Public API
'''
def init(client_id,client_secret,redirect_uri):
global _oauth
logger... | 35.28972 | 97 | 0.642479 |
797455bbde961edba21d1be762330303066d0c2a | 11,558 | py | Python | python/getdist/densities.py | Ji-Ping-Dai/CosmoCl | 36f80fdac0bc6ca8d6483feaa2d48589f1015b85 | [
"MIT"
] | 1 | 2020-06-04T15:29:37.000Z | 2020-06-04T15:29:37.000Z | python/getdist/densities.py | Ji-Ping-Dai/GeneralPPF | 5c6ca73c1a37d3b0de8751c772ad38eb60f89840 | [
"MIT"
] | null | null | null | python/getdist/densities.py | Ji-Ping-Dai/GeneralPPF | 5c6ca73c1a37d3b0de8751c772ad38eb60f89840 | [
"MIT"
] | null | null | null | import numpy as np
from scipy.interpolate import splrep, splev, RectBivariateSpline, LinearNDInterpolator
class DensitiesError(Exception):
pass
defaultContours = [0.68, 0.95]
def getContourLevels(inbins, contours=defaultContours, missing_norm=0, half_edge=True):
"""
Get contour levels enclosing "cont... | 32.835227 | 137 | 0.556584 |
79745676868c2cb4adbf9a639775d9953433acac | 364 | py | Python | cursoemvideo/exercicios/ex083.py | mrqssjeff/project-python | b3b08f2acfe825640a5ee92cf9d6fa45ab580384 | [
"MIT"
] | null | null | null | cursoemvideo/exercicios/ex083.py | mrqssjeff/project-python | b3b08f2acfe825640a5ee92cf9d6fa45ab580384 | [
"MIT"
] | null | null | null | cursoemvideo/exercicios/ex083.py | mrqssjeff/project-python | b3b08f2acfe825640a5ee92cf9d6fa45ab580384 | [
"MIT"
] | null | null | null | lista = list()
exp = str(input('Digite uma expressão: '))
for simb in exp:
if simb == '(':
lista.append(simb)
elif simb == ')':
if len(lista) > 0:
lista.pop()
else:
lista.append(simb)
break
if len(lista) == 0:
print('Sua expressão é válida!')
else:... | 24.266667 | 43 | 0.524725 |
797457347d81f1cf31c81cd5e66e45177866728e | 875 | py | Python | {{cookiecutter.github_repository_name}}/manage.py | joshua-s/cookiecutter-django-rest | df97b673441242ecf8a4d00cde95516244605047 | [
"MIT"
] | null | null | null | {{cookiecutter.github_repository_name}}/manage.py | joshua-s/cookiecutter-django-rest | df97b673441242ecf8a4d00cde95516244605047 | [
"MIT"
] | null | null | null | {{cookiecutter.github_repository_name}}/manage.py | joshua-s/cookiecutter-django-rest | df97b673441242ecf8a4d00cde95516244605047 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import os
import sys
if __name__ == "__main__":
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings")
os.environ.setdefault("DJANGO_CONFIGURATION", "Local")
try:
from configurations.management import execute_from_command_line
except ImportError:
# The... | 35 | 77 | 0.649143 |
7974591b3e698add695f051f6266a060a9590378 | 2,363 | py | Python | planning_python/data_structures/priority_queue.py | yonetaniryo/planning_python | 3d7d3c06cc577445a9b5b423f2907f5efa830a0f | [
"BSD-3-Clause"
] | 12 | 2017-10-18T21:39:20.000Z | 2021-11-28T06:36:37.000Z | planning_python/data_structures/priority_queue.py | yonetaniryo/planning_python | 3d7d3c06cc577445a9b5b423f2907f5efa830a0f | [
"BSD-3-Clause"
] | null | null | null | planning_python/data_structures/priority_queue.py | yonetaniryo/planning_python | 3d7d3c06cc577445a9b5b423f2907f5efa830a0f | [
"BSD-3-Clause"
] | 6 | 2017-10-29T05:23:16.000Z | 2020-11-17T10:53:41.000Z | #!/usr/bin/env python
"""A priority queue that uses heaps and lazy deletes if required. We don't update the priority of an element
already in the queue, but keep a duplicate. Lazy deletes help in taking random actions."""
import copy
import heapq
REMOVED = '<removed-node>' #Placeholder for removed node
class Priorit... | 31.932432 | 108 | 0.703766 |
7974593c88764644e0ff9db4a6c40f2a605e5cc0 | 9,422 | py | Python | NEST-14.0-FPGA/pynest/nest/tests/test_stdp_multiplicity.py | OpenHEC/SNN-simulator-on-PYNQcluster | 14f86a76edf4e8763b58f84960876e95d4efc43a | [
"MIT"
] | 45 | 2019-12-09T06:45:53.000Z | 2022-01-29T12:16:41.000Z | NEST-14.0-FPGA/pynest/nest/tests/test_stdp_multiplicity.py | zlchai/SNN-simulator-on-PYNQcluster | 14f86a76edf4e8763b58f84960876e95d4efc43a | [
"MIT"
] | 2 | 2020-05-23T05:34:21.000Z | 2021-09-08T02:33:46.000Z | NEST-14.0-FPGA/pynest/nest/tests/test_stdp_multiplicity.py | OpenHEC/SNN-simulator-on-PYNQcluster | 14f86a76edf4e8763b58f84960876e95d4efc43a | [
"MIT"
] | 10 | 2019-12-09T06:45:59.000Z | 2021-03-25T09:32:56.000Z | # -*- coding: utf-8 -*-
#
# test_stdp_multiplicity.py
#
# This file is part of NEST.
#
# Copyright (C) 2004 The NEST Initiative
#
# NEST 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 2 of the ... | 38.933884 | 79 | 0.608788 |
79745959dc4e0a7305553e06618243c083ceee8d | 13,038 | py | Python | riam_api_client/models/inline_response20034_message_valorizacion.py | RiskAmerica/api-client-python | 468c554a0440bef5086828631e25d99d41e28571 | [
"MIT"
] | null | null | null | riam_api_client/models/inline_response20034_message_valorizacion.py | RiskAmerica/api-client-python | 468c554a0440bef5086828631e25d99d41e28571 | [
"MIT"
] | null | null | null | riam_api_client/models/inline_response20034_message_valorizacion.py | RiskAmerica/api-client-python | 468c554a0440bef5086828631e25d99d41e28571 | [
"MIT"
] | 1 | 2021-04-14T15:52:03.000Z | 2021-04-14T15:52:03.000Z | # coding: utf-8
"""
APIs RISKAMERICA
A continuación les presentamos la documentación las **APIs** **de** **RiskAmerica**, el cual es un servicio pagado ofrecido por RiskAmerica que se contrata por separado a nuestras otras ofertas de software. Algunas consideraciones que debe tener al momento de usar las API... | 33.777202 | 1,070 | 0.631539 |
79745a00ea8170f3aa46bff3b3ccfb63f2f17104 | 7,444 | py | Python | pennylane/tracker.py | therooler/pennylane | 88a8a5960a2ffd218a12f85ace632021eef2abf5 | [
"Apache-2.0"
] | null | null | null | pennylane/tracker.py | therooler/pennylane | 88a8a5960a2ffd218a12f85ace632021eef2abf5 | [
"Apache-2.0"
] | null | null | null | pennylane/tracker.py | therooler/pennylane | 88a8a5960a2ffd218a12f85ace632021eef2abf5 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018-2021 Xanadu Quantum Technologies Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or... | 37.786802 | 101 | 0.631918 |
79745a625711b583824072e971c43d58ea128a77 | 4,115 | py | Python | extension/src/xdevice_extension/_core/environment/device_state.py | openharmony-gitee-mirror/test_xdevice | 1d24201649d4f6a3e5aa381989f794bb8cfe15b9 | [
"Apache-2.0"
] | 2 | 2021-12-20T03:22:21.000Z | 2022-02-10T07:26:38.000Z | extension/src/xdevice_extension/_core/environment/device_state.py | openharmony-gitee-mirror/test_xdevice | 1d24201649d4f6a3e5aa381989f794bb8cfe15b9 | [
"Apache-2.0"
] | null | null | null | extension/src/xdevice_extension/_core/environment/device_state.py | openharmony-gitee-mirror/test_xdevice | 1d24201649d4f6a3e5aa381989f794bb8cfe15b9 | [
"Apache-2.0"
] | 2 | 2021-09-13T11:13:53.000Z | 2022-02-28T21:54:23.000Z | #!/usr/bin/env python3
# coding=utf-8
#
# Copyright (c) 2021 Huawei Device Co., Ltd.
# 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... | 34.008264 | 75 | 0.691373 |
79745aca600b2632b5432c8a3994e241a03e1143 | 1,938 | py | Python | data/p2DJ/New/R2/benchmark/startCirq176.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p2DJ/New/R2/benchmark/startCirq176.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/p2DJ/New/R2/benchmark/startCirq176.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 5/15/20 4:49 PM
# @File : grover.py
# qubit number=2
# total number=15
import cirq
import cirq.google as cg
from typing import Optional
import sys
from math import log2
import numpy as np
#thatsNoCode
from cirq.contrib.svg import SVGCircuit
# Symbols for... | 29.363636 | 77 | 0.692982 |
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