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classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
79036be5b5f1fba5f514be0590b1bc5f815bec38 | 1,549 | py | Python | manual_crawler.py | seanbreckenridge/MALUserVsAverage | 8cc9c6bc3d19a1a0470235bd069e0fed632b1088 | [
"Unlicense"
] | null | null | null | manual_crawler.py | seanbreckenridge/MALUserVsAverage | 8cc9c6bc3d19a1a0470235bd069e0fed632b1088 | [
"Unlicense"
] | null | null | null | manual_crawler.py | seanbreckenridge/MALUserVsAverage | 8cc9c6bc3d19a1a0470235bd069e0fed632b1088 | [
"Unlicense"
] | null | null | null | import requests
import time
from bs4 import BeautifulSoup
class crawl:
"""Keep track of time between scrape requests.
args:
wait: time between requests
retry_max: number of times to retry
"""
def __init__(self, wait, retry_max):
self.wait = wait
self.retry_max = retry_... | 29.226415 | 80 | 0.550032 | import requests
import time
from bs4 import BeautifulSoup
class crawl:
def __init__(self, wait, retry_max):
self.wait = wait
self.retry_max = retry_max
self.last_scrape = time.time() - (self.wait * 0.5)
def since_scrape(self):
return (time.time() - self.last_scrape) ... | true | true |
79036c0074e467d7ce8b933e2563f2eeea9c3720 | 1,920 | py | Python | ambari-metrics/ambari-metrics-host-monitoring/src/main/python/core/blacklisted_set.py | zyclove/ambari | 1032f0f54cb7b312b9a3b37570cd840f4e1e89d4 | [
"Apache-2.0"
] | null | null | null | ambari-metrics/ambari-metrics-host-monitoring/src/main/python/core/blacklisted_set.py | zyclove/ambari | 1032f0f54cb7b312b9a3b37570cd840f4e1e89d4 | [
"Apache-2.0"
] | null | null | null | ambari-metrics/ambari-metrics-host-monitoring/src/main/python/core/blacklisted_set.py | zyclove/ambari | 1032f0f54cb7b312b9a3b37570cd840f4e1e89d4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python2
'''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); y... | 25.945946 | 72 | 0.697917 |
'''
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use thi... | false | true |
79036c7370b3b6c2a59581cb2b70b6b7c349b2a7 | 3,603 | py | Python | tests/sources/test_header_version.py | junjihashimoto/webots | 12eb8c010275f390ae97d91d5c04906ffa00c262 | [
"Apache-2.0"
] | null | null | null | tests/sources/test_header_version.py | junjihashimoto/webots | 12eb8c010275f390ae97d91d5c04906ffa00c262 | [
"Apache-2.0"
] | null | null | null | tests/sources/test_header_version.py | junjihashimoto/webots | 12eb8c010275f390ae97d91d5c04906ffa00c262 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright 1996-2019 Cyberbotics 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
#
# Unless required by applica... | 40.943182 | 120 | 0.611157 |
import unittest
import os
import fnmatch
ignoredProtos = [
'projects/robots/mobsya/thymio/controllers/thymio2_aseba/aseba/clients/studio/plugins/ThymioVPL/UsageProfile.proto',
'projects/samples/tutorials/protos/FourWheelsRobot.proto'
]
skippedDirectories = [
'dependencies',
'distributi... | true | true |
79036ca5647a8c4ae722fb21e378769c2f0a26a7 | 18,450 | py | Python | sdks/python/apache_beam/io/avroio_test.py | rohdesamuel/beam | b4f02888aed20f6f066d07f4ff26e6688a6f848e | [
"Apache-2.0",
"BSD-3-Clause"
] | 1 | 2020-08-25T21:17:10.000Z | 2020-08-25T21:17:10.000Z | sdks/python/apache_beam/io/avroio_test.py | rohdesamuel/beam | b4f02888aed20f6f066d07f4ff26e6688a6f848e | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | sdks/python/apache_beam/io/avroio_test.py | rohdesamuel/beam | b4f02888aed20f6f066d07f4ff26e6688a6f848e | [
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 36.247544 | 80 | 0.692466 |
from __future__ import absolute_import
from __future__ import division
import json
import logging
import math
import os
import tempfile
import unittest
from builtins import range
from typing import List
import sys
import future.tests.base
import hamcrest as hc
import avro
import avro.datafile
fr... | true | true |
79036e10662062fbef5a2426ab989a8a22a76e17 | 176,147 | py | Python | azure_compute/komand_azure_compute/actions/list_vm/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | azure_compute/komand_azure_compute/actions/list_vm/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | azure_compute/komand_azure_compute/actions/list_vm/schema.py | xhennessy-r7/insightconnect-plugins | 59268051313d67735b5dd3a30222eccb92aca8e9 | [
"MIT"
] | null | null | null | # GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Input:
RESOURCEGROUP = "resourceGroup"
SUBSCRIPTIONID = "subscriptionId"
class Output:
VALUE = "value"
class ListVmInput(komand.Input):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"proper... | 37.224641 | 177 | 0.39752 |
import komand
import json
class Input:
RESOURCEGROUP = "resourceGroup"
SUBSCRIPTIONID = "subscriptionId"
class Output:
VALUE = "value"
class ListVmInput(komand.Input):
schema = json.loads("""
{
"type": "object",
"title": "Variables",
"properties": {
"resourceGroup": {
"... | true | true |
79036f096fea5eaae0c7bd3e84ab079718fe2a88 | 1,992 | py | Python | wbb/modules/webss.py | TAMILVIP007/WilliamButcherBot | e7a02edcd57ec62c7f80c601484e92e257e1d5bf | [
"MIT"
] | 1 | 2021-06-30T07:09:45.000Z | 2021-06-30T07:09:45.000Z | wbb/modules/webss.py | fakeenemy01/GroupBot | e7a02edcd57ec62c7f80c601484e92e257e1d5bf | [
"MIT"
] | null | null | null | wbb/modules/webss.py | fakeenemy01/GroupBot | e7a02edcd57ec62c7f80c601484e92e257e1d5bf | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2021 TheHamkerCat
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, ... | 36.888889 | 78 | 0.705823 | from pyrogram import filters
from wbb import app
from wbb.core.decorators.errors import capture_err
__MODULE__ = "WebSS"
__HELP__ = "/webss | .webss [URL] - Take A Screenshot Of A Webpage"
@app.on_message(filters.command("webss"))
@capture_err
async def take_ss(_, message):
try:
if len(message.command) ... | true | true |
79036fb8927da1a20e29d990f89eb1771a371915 | 27,299 | py | Python | core/server.py | simra/msrflute | c28e2e6bcfa9464b8640ccd625393bbed28491c3 | [
"MIT"
] | null | null | null | core/server.py | simra/msrflute | c28e2e6bcfa9464b8640ccd625393bbed28491c3 | [
"MIT"
] | null | null | null | core/server.py | simra/msrflute | c28e2e6bcfa9464b8640ccd625393bbed28491c3 | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
'''
In this file, we define the classes that live inside 'worker 0', the worker
responsible for orchestration and aggregation. The main class is the
OptimizationServer, which sends clients to the other workers to process and
combines the resulting... | 45.271973 | 121 | 0.590534 |
import json
import logging
import os
import random
import shutil
import time
from collections import defaultdict
import numpy as np
import torch
from core.globals import TRAINING_FRAMEWORK_TYPE
if TRAINING_FRAMEWORK_TYPE == 'mpi':
import core.federated as federated
else:
raise NotImplementedError('{} is n... | true | true |
7903713a400493826bb2db2002ac25915a1e24f0 | 1,895 | py | Python | webapp/external_access.py | Quoding/petricore | c2275db64a567ec5dc8db1f4283969dfb749572a | [
"MIT"
] | null | null | null | webapp/external_access.py | Quoding/petricore | c2275db64a567ec5dc8db1f4283969dfb749572a | [
"MIT"
] | 2 | 2020-01-23T15:24:08.000Z | 2020-03-23T19:16:45.000Z | webapp/external_access.py | calculquebec/petricore | c2275db64a567ec5dc8db1f4283969dfb749572a | [
"MIT"
] | null | null | null | import pymysql.cursors
import ldap
def get_domain_name():
"""
Returns the domain name of the current configuration from a config file
Returns
-------
string
the domain name
"""
with open("/var/www/logic_webapp/webapp_config") as file:
line = file.readline()
dom... | 25.608108 | 87 | 0.626385 | import pymysql.cursors
import ldap
def get_domain_name():
with open("/var/www/logic_webapp/webapp_config") as file:
line = file.readline()
domain = line.split("=")[1].rstrip()
return domain
def get_db_password():
with open("/var/www/logic_webapp/webapp_config") as file:
lin... | true | true |
790371466426bec98edb736c5dd24251f6ac2343 | 1,250 | py | Python | test/test_data_protection_officer.py | My-Data-My-Consent/python-sdk | 414640bcda6350e6f5e74e42442737eb8d5b7447 | [
"Apache-2.0"
] | null | null | null | test/test_data_protection_officer.py | My-Data-My-Consent/python-sdk | 414640bcda6350e6f5e74e42442737eb8d5b7447 | [
"Apache-2.0"
] | 5 | 2021-12-19T10:29:43.000Z | 2022-03-31T22:15:37.000Z | test/test_data_protection_officer.py | mydatamyconsent/python-sdk | 414640bcda6350e6f5e74e42442737eb8d5b7447 | [
"Apache-2.0"
] | null | null | null | """
My Data My Consent - Developer API
Unleashing the power of data consent by establishing trust. The Platform Core Developer API defines a set of capabilities that can be used to request, issue, manage and update data, documents and credentials by organizations. The API can be used to request, manage and upd... | 33.783784 | 469 | 0.7448 |
import sys
import unittest
import com.mydatamyconsent
from com.mydatamyconsent.model.data_protection_officer import DataProtectionOfficer
class TestDataProtectionOfficer(unittest.TestCase):
def setUp(self):
pass
def tearDown(self):
pass
def testDataProtectionOfficer(self):
... | true | true |
790371ae35706b91f27bf2d89e39770f3441a18b | 4,910 | py | Python | superset/sql_parse.py | gabe-lyons/incubator-superset | 7669cdb8c51bcc3f298aff2a14cbfeea3cbf5f13 | [
"Apache-2.0"
] | 4 | 2018-07-25T17:12:13.000Z | 2020-12-28T10:26:53.000Z | superset/sql_parse.py | ksangeet9ap/incubator-superset | f417172071503e48bdbbe00d8254c204928a5d3e | [
"Apache-2.0"
] | 1 | 2018-02-22T23:29:06.000Z | 2018-02-23T21:44:00.000Z | superset/sql_parse.py | ksangeet9ap/incubator-superset | f417172071503e48bdbbe00d8254c204928a5d3e | [
"Apache-2.0"
] | 4 | 2020-03-07T11:58:42.000Z | 2020-05-26T02:07:27.000Z | # -*- coding: utf-8 -*-
# pylint: disable=C,R,W
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
import sqlparse
from sqlparse.sql import Identifier, IdentifierList
from sqlparse.tokens import Keyword, N... | 34.822695 | 79 | 0.614868 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
import sqlparse
from sqlparse.sql import Identifier, IdentifierList
from sqlparse.tokens import Keyword, Name
RESULT_OPERATIONS = {'UNION', 'INTERSECT'... | true | true |
7903730eae04facba1aeb2dc3266fd3633c7ab6a | 1,184 | py | Python | api/tests/routes/test_detection.py | mzeidhassan/doctr | 14b376e07d31b09b6bd31bceebf6ffb477c30f08 | [
"Apache-2.0"
] | 1 | 2021-09-26T06:03:10.000Z | 2021-09-26T06:03:10.000Z | api/tests/routes/test_detection.py | mzeidhassan/doctr | 14b376e07d31b09b6bd31bceebf6ffb477c30f08 | [
"Apache-2.0"
] | null | null | null | api/tests/routes/test_detection.py | mzeidhassan/doctr | 14b376e07d31b09b6bd31bceebf6ffb477c30f08 | [
"Apache-2.0"
] | null | null | null | # Copyright (C) 2021, Mindee.
# This program is licensed under the Apache License version 2.
# See LICENSE or go to <https://www.apache.org/licenses/LICENSE-2.0.txt> for full license details.
import pytest
import numpy as np
from scipy.optimize import linear_sum_assignment
from doctr.utils.metrics import box_iou
@p... | 39.466667 | 98 | 0.714527 |
import pytest
import numpy as np
from scipy.optimize import linear_sum_assignment
from doctr.utils.metrics import box_iou
@pytest.mark.asyncio
async def test_text_detection(test_app_asyncio, mock_detection_image):
response = await test_app_asyncio.post("/detection", files={'file': mock_detection_image})
... | true | true |
790373ab0d7769df144ec513b502f523788f4b22 | 2,534 | py | Python | mypy/infer.py | ooprathamm/mypy | 1ac9c77bb0b5b95a9b3ee8936ac74a52e6e641ac | [
"PSF-2.0"
] | null | null | null | mypy/infer.py | ooprathamm/mypy | 1ac9c77bb0b5b95a9b3ee8936ac74a52e6e641ac | [
"PSF-2.0"
] | null | null | null | mypy/infer.py | ooprathamm/mypy | 1ac9c77bb0b5b95a9b3ee8936ac74a52e6e641ac | [
"PSF-2.0"
] | null | null | null | """Utilities for type argument inference."""
from typing import List, Optional, Sequence, NamedTuple
from mypy.constraints import (
infer_constraints, infer_constraints_for_callable, SUBTYPE_OF, SUPERTYPE_OF
)
from mypy.types import Type, TypeVarId, CallableType, Instance
from mypy.nodes import ArgKind
f... | 40.222222 | 82 | 0.649566 |
from typing import List, Optional, Sequence, NamedTuple
from mypy.constraints import (
infer_constraints, infer_constraints_for_callable, SUBTYPE_OF, SUPERTYPE_OF
)
from mypy.types import Type, TypeVarId, CallableType, Instance
from mypy.nodes import ArgKind
from mypy.solve import solve_constraints
c... | true | true |
79037536069031e76e3ee7cee6b042cb0e25ffa4 | 2,897 | py | Python | Broca/faq_engine/agent.py | lawRossi/Broca | 7dcb4e1cb7087c4bd38ad01e73eb1fdab4c6d13d | [
"MIT"
] | 3 | 2021-05-10T06:36:21.000Z | 2021-05-10T06:47:31.000Z | Broca/faq_engine/agent.py | lawRossi/Broca | 7dcb4e1cb7087c4bd38ad01e73eb1fdab4c6d13d | [
"MIT"
] | null | null | null | Broca/faq_engine/agent.py | lawRossi/Broca | 7dcb4e1cb7087c4bd38ad01e73eb1fdab4c6d13d | [
"MIT"
] | null | null | null | """
@Author: Rossi
Created At: 2021-02-21
"""
import json
import time
from mako.template import Template
from Broca.faq_engine.index import ESIndex, VectorIndex
from Broca.message import BotMessage
class FAQAgent:
def __init__(self, agent_name, es_index, vector_index, threshold, topk, prompt_threshold,
... | 39.684932 | 132 | 0.669313 |
import json
import time
from mako.template import Template
from Broca.faq_engine.index import ESIndex, VectorIndex
from Broca.message import BotMessage
class FAQAgent:
def __init__(self, agent_name, es_index, vector_index, threshold, topk, prompt_threshold,
template, prompt_template):
self... | true | true |
790375eb79545b153373de236a12b78776be585b | 578 | py | Python | Python Aulas/Mundo 1/Aula 010c.py | rodrigobarbonifilho/Python | 807bf01ddacd0a0f7f563ae5a65f8fb2dd22ca16 | [
"MIT"
] | null | null | null | Python Aulas/Mundo 1/Aula 010c.py | rodrigobarbonifilho/Python | 807bf01ddacd0a0f7f563ae5a65f8fb2dd22ca16 | [
"MIT"
] | null | null | null | Python Aulas/Mundo 1/Aula 010c.py | rodrigobarbonifilho/Python | 807bf01ddacd0a0f7f563ae5a65f8fb2dd22ca16 | [
"MIT"
] | null | null | null | # coding=utf-8
# Exemplos para entendiemnto
"""nome = input('Qual seu nome?' )
if nome == 'Rodrigo' or nome == 'RAYANNE':
print('Que nome lindo vocé tem!')
else:
print('Que nome tão normal!!!')
print('Bom dia, {}'.format(nome))"""
n1 = float(input('Digite a primeira nota: '))
n2 = float(input('Digite a segunda ... | 28.9 | 80 | 0.615917 |
n1 = float(input('Digite a primeira nota: '))
n2 = float(input('Digite a segunda nota: '))
m = (n1 + n2) / 2
print('A sua média foi: {:.1f}'.format(m))
print('A sua media foi boa!' if m >= 6.0 else 'Sua media foi ruim,estude mais!')
| true | true |
7903760959e968ef65e34c134e43c14d89f97e93 | 540 | py | Python | E_business_project/apps/goods/urls.py | ambushonallsides1/E_business_project | bf386391e58e0e82787ddc07fc678937e345a4cb | [
"MIT"
] | 1 | 2020-02-05T14:00:19.000Z | 2020-02-05T14:00:19.000Z | E_business_project/apps/goods/urls.py | ambushonallsides1/E_business_project | bf386391e58e0e82787ddc07fc678937e345a4cb | [
"MIT"
] | 6 | 2020-05-11T20:34:17.000Z | 2021-11-02T15:46:41.000Z | E_business_project/apps/goods/urls.py | ambushonallsides1/E_business_project | bf386391e58e0e82787ddc07fc678937e345a4cb | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
urlpatterns = [
# 商品列表页
url(r'^list/(?P<category_id>\d+)/(?P<page_num>\d+)/$', views.ListView.as_view(), name='list'),
# 热销排行数据
url(r'^hot/(?P<category_id>\d+)/$', views.HotGoodsView.as_view()),
# 商品详情页
url(r'^detail/(?P<sku_id>\d+)/$', view... | 31.764706 | 98 | 0.627778 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^list/(?P<category_id>\d+)/(?P<page_num>\d+)/$', views.ListView.as_view(), name='list'),
url(r'^hot/(?P<category_id>\d+)/$', views.HotGoodsView.as_view()),
url(r'^detail/(?P<sku_id>\d+)/$', views.DetailView.as_view()... | true | true |
7903762327cb4b6f5b580732681dcf05dcaaee2f | 8,881 | py | Python | solo/utils/classification_dataloader.py | fariasfc/solo-learn | f53ff40edbc7e96e06db5238d8c3a44f7b8965c1 | [
"MIT"
] | null | null | null | solo/utils/classification_dataloader.py | fariasfc/solo-learn | f53ff40edbc7e96e06db5238d8c3a44f7b8965c1 | [
"MIT"
] | null | null | null | solo/utils/classification_dataloader.py | fariasfc/solo-learn | f53ff40edbc7e96e06db5238d8c3a44f7b8965c1 | [
"MIT"
] | null | null | null | import os
from pathlib import Path
from typing import Callable, Optional, Tuple, Union
import torchvision
from torch import nn
from torch.utils.data import DataLoader, Dataset
from torchvision import transforms
from torchvision.datasets import STL10, ImageFolder
def build_custom_pipeline():
"""Builds augmentatio... | 31.492908 | 99 | 0.596329 | import os
from pathlib import Path
from typing import Callable, Optional, Tuple, Union
import torchvision
from torch import nn
from torch.utils.data import DataLoader, Dataset
from torchvision import transforms
from torchvision.datasets import STL10, ImageFolder
def build_custom_pipeline():
pipeline = {
... | true | true |
7903777a50ff41a94bed60837d113e3a3fca6cc0 | 23,095 | py | Python | sub_models.py | tmartin2/EnsembleSplice-Inactive | a161ff007b47ceadd3a21376f2eac2971bb81d90 | [
"MIT"
] | null | null | null | sub_models.py | tmartin2/EnsembleSplice-Inactive | a161ff007b47ceadd3a21376f2eac2971bb81d90 | [
"MIT"
] | null | null | null | sub_models.py | tmartin2/EnsembleSplice-Inactive | a161ff007b47ceadd3a21376f2eac2971bb81d90 | [
"MIT"
] | null | null | null | # -----------------------------------------------------------------------------
# Copyright (c) 2021 Trevor P. Martin. All rights reserved.
# Distributed under the MIT License.
# -----------------------------------------------------------------------------
from Data import encode_data
# from utils import cross_validati... | 34.781627 | 126 | 0.525352 |
from Data import encode_data
from Models import utils
from Models import build_models
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.linear_model import Perceptron
from sklearn.svm import LinearSVC
import matplotlib.pyplot as plt
import matplo... | true | true |
79037789097e9f44c8718db1e462de1fd6ab1be8 | 7,156 | py | Python | MyAlgorithm/addWordsToParadigms_old.py | oncebasun/seq2seq-theano | 9d905ed2fb392193e28d67272d3e3f1b5da613ac | [
"MIT"
] | null | null | null | MyAlgorithm/addWordsToParadigms_old.py | oncebasun/seq2seq-theano | 9d905ed2fb392193e28d67272d3e3f1b5da613ac | [
"MIT"
] | null | null | null | MyAlgorithm/addWordsToParadigms_old.py | oncebasun/seq2seq-theano | 9d905ed2fb392193e28d67272d3e3f1b5da613ac | [
"MIT"
] | null | null | null | # Usage: testWordsInCorpus.py [language] {corpus file}
# If no corpus file is named, the programme will try to load a corresponding cPickle file.
#
# German corpus: /mounts/data/proj/huiming/SIGMORPHON/dewiki-20151102-pages-articles-multistream.xml
#
# This script finds words that should belong to a paradigm in the cor... | 34.570048 | 132 | 0.654556 |
from getEditTrees import editTreesByPos
from getEditTrees import applyOnlyTree
import sys
import pickle as cPickle
toAdd = {}
uniquenessCheck = {}
def autoComplete(lemma1, etTag1, lemma2, etTag2, corpusWords):
etAndTagToAdd = set()
notFound = 0
allRight1 = True
allRight2 = True
for (et, ... | true | true |
79037853da791e43432d796bec456bd6930322d3 | 14,822 | py | Python | ibmdbpy/tests/test_frame.py | marc-mclean1/ibmdbpy | 46d885e793da52c58424885d74ab1a6668c391b3 | [
"BSD-3-Clause"
] | 21 | 2016-02-18T13:10:48.000Z | 2020-11-09T00:09:07.000Z | ibmdbpy/tests/test_frame.py | marc-mclean1/ibmdbpy | 46d885e793da52c58424885d74ab1a6668c391b3 | [
"BSD-3-Clause"
] | 57 | 2016-02-29T15:14:05.000Z | 2021-07-23T07:19:41.000Z | ibmdbpy/tests/test_frame.py | marc-mclean1/ibmdbpy | 46d885e793da52c58424885d74ab1a6668c391b3 | [
"BSD-3-Clause"
] | 17 | 2016-01-04T07:11:37.000Z | 2021-11-05T12:45:41.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#-----------------------------------------------------------------------------
# Copyright (c) 2015, IBM Corp.
# All rights reserved.
#
# Distributed under the terms of the BSD Simplified License.
#
# The full license is in the LICENSE file, distributed with this software.
... | 34.152074 | 106 | 0.643773 |
from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from builtins import zip
from future import standard_library
standard_library.install_aliases()
import pandas
import pytest
import six
import ibmdbpy
from ibm... | true | true |
79037932fc54e1c2f6ed6419f33b160d082a18e5 | 14,654 | py | Python | modoboa_webmail/tests/test_views.py | mohamed-ghayyad/modoboa-webmail | 4fefb3cfadc97e416a0f2b76356c7ec97b2b6040 | [
"MIT"
] | 59 | 2015-06-02T10:12:31.000Z | 2022-03-29T17:52:30.000Z | modoboa_webmail/tests/test_views.py | mohamed-ghayyad/modoboa-webmail | 4fefb3cfadc97e416a0f2b76356c7ec97b2b6040 | [
"MIT"
] | 222 | 2015-04-29T16:26:17.000Z | 2022-02-28T08:05:25.000Z | modoboa_webmail/tests/test_views.py | mohamed-ghayyad/modoboa-webmail | 4fefb3cfadc97e416a0f2b76356c7ec97b2b6040 | [
"MIT"
] | 45 | 2015-03-19T11:14:51.000Z | 2022-03-14T08:03:49.000Z | # coding: utf-8
"""Webmail tests."""
from __future__ import unicode_literals
import os
import shutil
import tempfile
try:
import mock
except ImportError:
from unittest import mock
from six import BytesIO
from django.core import mail
from django.urls import reverse
from modoboa.admin import factories as ad... | 39.392473 | 762 | 0.600792 |
from __future__ import unicode_literals
import os
import shutil
import tempfile
try:
import mock
except ImportError:
from unittest import mock
from six import BytesIO
from django.core import mail
from django.urls import reverse
from modoboa.admin import factories as admin_factories
from modoboa.core impo... | true | true |
79037ae08e84e6a9933934f02dbf2f6a09f5b19d | 3,112 | py | Python | configs/retinanet/traffic_sign/retinanet_r50_fpn_1x_traffic_sign.py | tuanphan09/mmdetection | ee63547c02c615f9c61a13e3f34747098a9cd90a | [
"Apache-2.0"
] | null | null | null | configs/retinanet/traffic_sign/retinanet_r50_fpn_1x_traffic_sign.py | tuanphan09/mmdetection | ee63547c02c615f9c61a13e3f34747098a9cd90a | [
"Apache-2.0"
] | null | null | null | configs/retinanet/traffic_sign/retinanet_r50_fpn_1x_traffic_sign.py | tuanphan09/mmdetection | ee63547c02c615f9c61a13e3f34747098a9cd90a | [
"Apache-2.0"
] | null | null | null | # The new config inherits a base config to highlight the necessary modification
_base_ = '../retinanet_r50_fpn_1x_coco.py'
# We also need to change the num_classes in head to match the dataset's annotation
model = dict(
pretrained=None,
)
# Modify dataset related settings
dataset_type = 'COCODataset'
classes = (... | 37.493976 | 117 | 0.54563 |
_base_ = '../retinanet_r50_fpn_1x_coco.py'
model = dict(
pretrained=None,
)
# Modify dataset related settings
dataset_type = 'COCODataset'
classes = ('Cấm ngược chiều', 'Cấm dừng và đỗ', 'Cấm rẽ', 'Giới hạn tốc độ', 'Cấm còn lại', 'Nguy hiểm', 'Hiệu lệnh')
img_norm_cfg = dict(mean=[123.675, 116.28, 103.53],
... | true | true |
79037ae19f271b14b11a38feecdea1226e2d05ad | 327 | py | Python | apps/store/migrations/0002_remove_payment_paystack_response.py | Joetib/jshop | 810ce5dcf2cf2d23b45536dd0c8806efd3b7fc91 | [
"MIT"
] | 1 | 2021-09-29T18:48:00.000Z | 2021-09-29T18:48:00.000Z | apps/store/migrations/0002_remove_payment_paystack_response.py | Joetib/jshop | 810ce5dcf2cf2d23b45536dd0c8806efd3b7fc91 | [
"MIT"
] | null | null | null | apps/store/migrations/0002_remove_payment_paystack_response.py | Joetib/jshop | 810ce5dcf2cf2d23b45536dd0c8806efd3b7fc91 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.4 on 2021-09-28 13:49
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='payment',
name='paystack_response',
),... | 18.166667 | 47 | 0.590214 |
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('store', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='payment',
name='paystack_response',
),
]
| true | true |
79037b880dca6434ef7b651515969c8dcfcbb25b | 5,446 | py | Python | watson/frames.py | cazador481/Watson | 6af92cba8f1b0eafba84025afc140ec3c38cd185 | [
"MIT"
] | null | null | null | watson/frames.py | cazador481/Watson | 6af92cba8f1b0eafba84025afc140ec3c38cd185 | [
"MIT"
] | null | null | null | watson/frames.py | cazador481/Watson | 6af92cba8f1b0eafba84025afc140ec3c38cd185 | [
"MIT"
] | null | null | null | import uuid
import arrow
from collections import namedtuple
HEADERS = ('start', 'stop', 'project', 'id', 'tags', 'updated_at')
class Frame(namedtuple('Frame', HEADERS)):
def __new__(cls, start, stop, project, id, tags=None, updated_at=None,):
try:
if not isinstance(start, arrow.Arrow):
... | 29.27957 | 79 | 0.565736 | import uuid
import arrow
from collections import namedtuple
HEADERS = ('start', 'stop', 'project', 'id', 'tags', 'updated_at')
class Frame(namedtuple('Frame', HEADERS)):
def __new__(cls, start, stop, project, id, tags=None, updated_at=None,):
try:
if not isinstance(start, arrow.Arrow):
... | true | true |
79037b9e891cf174cb460169069b116e1a5bd27f | 332 | py | Python | platform/src/main/python/dlpx/virtualization/platform/util.py | SumoSourabh/virtualization-sdk | d1c06e7aeb8adf48243599871423922d642d2c10 | [
"Apache-2.0"
] | null | null | null | platform/src/main/python/dlpx/virtualization/platform/util.py | SumoSourabh/virtualization-sdk | d1c06e7aeb8adf48243599871423922d642d2c10 | [
"Apache-2.0"
] | null | null | null | platform/src/main/python/dlpx/virtualization/platform/util.py | SumoSourabh/virtualization-sdk | d1c06e7aeb8adf48243599871423922d642d2c10 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2019, 2021 by Delphix. All rights reserved.
#
import dlpx.virtualization.api
from dlpx.virtualization.common.util import to_str
def get_virtualization_api_version():
"""Returns the Virutalization API version string.
:return: version string
"""
return to_str(dlpx.virtualization.api._... | 23.714286 | 59 | 0.756024 |
import dlpx.virtualization.api
from dlpx.virtualization.common.util import to_str
def get_virtualization_api_version():
return to_str(dlpx.virtualization.api.__version__)
| true | true |
79037bbe91970d86c9ed007208185ba6a65de400 | 1,168 | py | Python | setup.py | Omarnabk/requests_tor | 6a7e16942eca66945e783a9bb7acac0b9ea6f190 | [
"MIT"
] | 1 | 2021-06-06T23:41:37.000Z | 2021-06-06T23:41:37.000Z | setup.py | Omarnabk/requests_tor | 6a7e16942eca66945e783a9bb7acac0b9ea6f190 | [
"MIT"
] | null | null | null | setup.py | Omarnabk/requests_tor | 6a7e16942eca66945e783a9bb7acac0b9ea6f190 | [
"MIT"
] | null | null | null | from setuptools import setup
from requests_tor import __version__
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="requests_tor",
version=__version__,
author="deedy5",
description="Multithreading requests via TOR with automatic TOR new identity",
l... | 35.393939 | 82 | 0.638699 | from setuptools import setup
from requests_tor import __version__
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setup(
name="requests_tor",
version=__version__,
author="deedy5",
description="Multithreading requests via TOR with automatic TOR new identity",
l... | true | true |
79037c714c309d5a2482e456f279f42d7b0982ed | 2,060 | py | Python | nyamuk/event.py | MasterScott/nyamuk | ac4c6028de288a4c8e0b332ae16eae889deb643d | [
"BSD-2-Clause"
] | 49 | 2015-01-27T15:06:31.000Z | 2022-02-18T13:51:48.000Z | nyamuk/event.py | MasterScott/nyamuk | ac4c6028de288a4c8e0b332ae16eae889deb643d | [
"BSD-2-Clause"
] | 10 | 2015-03-19T13:24:33.000Z | 2019-03-01T10:06:23.000Z | nyamuk/event.py | MasterScott/nyamuk | ac4c6028de288a4c8e0b332ae16eae889deb643d | [
"BSD-2-Clause"
] | 19 | 2015-01-27T15:13:29.000Z | 2021-05-23T13:43:52.000Z | """Nyamuk event."""
import socket
import nyamuk_const as NC
#mqtt event
EV_CONNACK = NC.CMD_CONNACK
EV_PUBLISH = NC.CMD_PUBLISH
EV_SUBACK = NC.CMD_SUBACK
#non mqtt event
EV_NET_ERR = 1000
class BaseEvent:
"""Event Base Class."""
def __init__(self, tipe):
self.type = tipe
class EventConnack(BaseEven... | 25.432099 | 54 | 0.653883 | import socket
import nyamuk_const as NC
EV_CONNACK = NC.CMD_CONNACK
EV_PUBLISH = NC.CMD_PUBLISH
EV_SUBACK = NC.CMD_SUBACK
EV_NET_ERR = 1000
class BaseEvent:
def __init__(self, tipe):
self.type = tipe
class EventConnack(BaseEvent):
def __init__(self, ret_code, session_present = 0):
BaseEve... | true | true |
79037d241ec08af839b4c82afef6de7b86a8c0ee | 644 | py | Python | wagtail_review/text.py | icanbwell/wagtail-review | 4695f59c9feb94974ceb4a1b03ce8fd836e0ea3e | [
"BSD-3-Clause"
] | 44 | 2018-12-17T16:37:16.000Z | 2022-03-06T15:09:23.000Z | wagtail_review/text.py | icanbwell/wagtail-review | 4695f59c9feb94974ceb4a1b03ce8fd836e0ea3e | [
"BSD-3-Clause"
] | 33 | 2019-01-07T18:03:14.000Z | 2021-12-15T08:46:57.000Z | wagtail_review/text.py | icanbwell/wagtail-review | 4695f59c9feb94974ceb4a1b03ce8fd836e0ea3e | [
"BSD-3-Clause"
] | 19 | 2019-01-08T14:08:15.000Z | 2021-10-19T03:16:30.000Z | def user_display_name(user):
"""
Returns the preferred display name for the given user object: the result of
user.get_full_name() if implemented and non-empty, or user.get_username() otherwise.
"""
try:
full_name = user.get_full_name().strip()
if full_name:
return full_na... | 33.894737 | 103 | 0.661491 | def user_display_name(user):
try:
full_name = user.get_full_name().strip()
if full_name:
return full_name
except AttributeError:
pass
try:
return user.get_username()
except AttributeError:
# empty string to replicate the behaviour of {{ user.... | true | true |
79037d48c657f80b96e603e33494b0d2e714af9a | 2,989 | py | Python | ssim.py | ebartrum/NovelViewSynthesis-TensorFlow | 95be44737dd2f0b96cde61fbd9c1d3c88ae49830 | [
"MIT"
] | 192 | 2018-09-06T21:27:11.000Z | 2022-02-15T09:15:34.000Z | ssim.py | RealityTracer/Multiview2Novelview | a5e236f3c564bf287c8a09d855fd2134ba86b299 | [
"MIT"
] | 18 | 2018-09-11T02:32:40.000Z | 2020-12-03T08:54:00.000Z | ssim.py | RealityTracer/Multiview2Novelview | a5e236f3c564bf287c8a09d855fd2134ba86b299 | [
"MIT"
] | 39 | 2018-09-07T01:28:20.000Z | 2022-01-09T05:54:09.000Z | import tensorflow as tf
import numpy as np
def _tf_fspecial_gauss(size, sigma, ch=1):
"""Function to mimic the 'fspecial' gaussian MATLAB function
"""
x_data, y_data = np.mgrid[-size//2 + 1:size//2 + 1, -size//2 + 1:size//2 + 1]
x_data = np.expand_dims(x_data, axis=-1)
x_data = np.expand_dims(x_d... | 35.583333 | 95 | 0.571429 | import tensorflow as tf
import numpy as np
def _tf_fspecial_gauss(size, sigma, ch=1):
x_data, y_data = np.mgrid[-size//2 + 1:size//2 + 1, -size//2 + 1:size//2 + 1]
x_data = np.expand_dims(x_data, axis=-1)
x_data = np.expand_dims(x_data, axis=-1)
y_data = np.expand_dims(y_data, axis=-1)
y_data = ... | true | true |
79037d6b66461bcf5551085f73168f1654c65ff5 | 45 | py | Python | WebVisualizations/WeatherPy/config.py | IrinaUX/Web-Design-Challenge | 3dac80633a56322eecd93f031bcf652b4c848969 | [
"ADSL"
] | null | null | null | WebVisualizations/WeatherPy/config.py | IrinaUX/Web-Design-Challenge | 3dac80633a56322eecd93f031bcf652b4c848969 | [
"ADSL"
] | null | null | null | WebVisualizations/WeatherPy/config.py | IrinaUX/Web-Design-Challenge | 3dac80633a56322eecd93f031bcf652b4c848969 | [
"ADSL"
] | null | null | null | api_key = "8d3fef753a916acc8df61a629cda8e70"
| 22.5 | 44 | 0.866667 | api_key = "8d3fef753a916acc8df61a629cda8e70"
| true | true |
79037e1e17f1c6ca60aa131870960c78b72347d3 | 1,815 | py | Python | assets/netlists/opsci_profit_sharing/SimStrategy.py | opscientia/darcspice | 3f0602a45c829127d552593d2d4c7c5646629136 | [
"Apache-2.0"
] | 6 | 2022-01-04T16:27:49.000Z | 2022-03-19T02:57:20.000Z | assets/netlists/opsci_profit_sharing/SimStrategy.py | opscientia/tokenspice | 3f0602a45c829127d552593d2d4c7c5646629136 | [
"Apache-2.0"
] | 1 | 2022-01-04T18:09:44.000Z | 2022-01-04T18:10:38.000Z | assets/netlists/opsci_profit_sharing/SimStrategy.py | opscientia/darcspice | 3f0602a45c829127d552593d2d4c7c5646629136 | [
"Apache-2.0"
] | null | null | null | import math
from enforce_typing import enforce_types
from engine import SimStrategyBase
from util.constants import S_PER_HOUR
@enforce_types
class SimStrategy(SimStrategyBase.SimStrategyBase):
def __init__(self, no_researchers=2):
#===initialize self.time_step, max_ticks====
super().__init__()
... | 42.209302 | 131 | 0.656749 | import math
from enforce_typing import enforce_types
from engine import SimStrategyBase
from util.constants import S_PER_HOUR
@enforce_types
class SimStrategy(SimStrategyBase.SimStrategyBase):
def __init__(self, no_researchers=2):
super().__init__()
self.setTimeStep(S_PER_HOUR)
... | true | true |
79037ee8f12f6bab377c6a3f1c28abdcb9147e8b | 240 | py | Python | DTOs/TopicDTO.py | AngelStoyanov33/Flask-Forum | 055e4555dad8588437bf242bf9c6ea97941e69fe | [
"MIT"
] | null | null | null | DTOs/TopicDTO.py | AngelStoyanov33/Flask-Forum | 055e4555dad8588437bf242bf9c6ea97941e69fe | [
"MIT"
] | null | null | null | DTOs/TopicDTO.py | AngelStoyanov33/Flask-Forum | 055e4555dad8588437bf242bf9c6ea97941e69fe | [
"MIT"
] | null | null | null | class TopicDTO:
name = str
description = str
popularity = int
def __init__(self, name="", popularity=0, description = ""):
self.name=name
self.popularity=popularity
self.description = description
| 26.666667 | 64 | 0.625 | class TopicDTO:
name = str
description = str
popularity = int
def __init__(self, name="", popularity=0, description = ""):
self.name=name
self.popularity=popularity
self.description = description
| true | true |
79037f5e28f26dbd8044bd57561c7e3094ce84b6 | 371 | py | Python | experiments/5_norming_object_typicality_phrasing1/results/scripts/makeItemList.py | thegricean/overinformativeness | d20b66148c13af473b57cc4d1736191a49660349 | [
"MIT"
] | 1 | 2016-10-27T18:41:57.000Z | 2016-10-27T18:41:57.000Z | experiments/5_norming_object_typicality_phrasing1/results/scripts/makeItemList.py | thegricean/overinformativeness | d20b66148c13af473b57cc4d1736191a49660349 | [
"MIT"
] | 9 | 2015-11-30T21:44:31.000Z | 2020-04-21T01:26:05.000Z | experiments/5_norming_object_typicality_phrasing1/results/scripts/makeItemList.py | thegricean/overinformativeness | d20b66148c13af473b57cc4d1736191a49660349 | [
"MIT"
] | 2 | 2015-11-25T09:53:20.000Z | 2017-03-17T21:51:18.000Z | import os
imagedir = "/Users/titlis/cogsci/projects/stanford/projects/overinformativeness/experiments/5_norming_object_typicality/images"
for t in os.listdir(imagedir):
if not t.startswith("."):
for i in os.listdir(imagedir+"/"+t):
if not i.startswith("."):
print "{"
print "\"item\": \""+i[0:-4]+"\","
... | 30.916667 | 127 | 0.638814 | import os
imagedir = "/Users/titlis/cogsci/projects/stanford/projects/overinformativeness/experiments/5_norming_object_typicality/images"
for t in os.listdir(imagedir):
if not t.startswith("."):
for i in os.listdir(imagedir+"/"+t):
if not i.startswith("."):
print "{"
print "\"item\": \""+i[0:-4]+"\","
... | false | true |
79038257e50b1885b97826cd892b492c07a4b5f2 | 16,449 | py | Python | ViT-V-Net/models.py | junyuchen245/ViT-V-Net_for_3D_Image_Registration_Pytorch | f43bcdeef1d6712dfcaa3b4e18f69474e1eeaf73 | [
"MIT"
] | 131 | 2021-04-07T03:30:08.000Z | 2022-03-20T04:09:01.000Z | ViT-V-Net/models.py | junyuchen245/ViT-V-Net_for_3D_Image_Registration | f43bcdeef1d6712dfcaa3b4e18f69474e1eeaf73 | [
"MIT"
] | 4 | 2021-04-26T09:09:26.000Z | 2022-03-10T05:29:29.000Z | ViT-V-Net/models.py | junyuchen245/ViT-V-Net_for_3D_Image_Registration | f43bcdeef1d6712dfcaa3b4e18f69474e1eeaf73 | [
"MIT"
] | 20 | 2021-04-15T02:19:24.000Z | 2022-03-14T10:10:53.000Z | # coding=utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import logging
import math
import torch
import torch.nn as nn
import torch.nn.functional as nnf
from torch.nn import Dropout, Softmax, Linear, Conv3d, LayerNorm
from torch... | 36.311258 | 200 | 0.610615 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import copy
import logging
import math
import torch
import torch.nn as nn
import torch.nn.functional as nnf
from torch.nn import Dropout, Softmax, Linear, Conv3d, LayerNorm
from torch.nn.modules.uti... | true | true |
7903828c021b859d78b58676fd998ed8a29a8d64 | 8,651 | py | Python | corehq/apps/data_interfaces/tasks.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | null | null | null | corehq/apps/data_interfaces/tasks.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | null | null | null | corehq/apps/data_interfaces/tasks.py | akashkj/commcare-hq | b00a62336ec26cea1477dfb8c048c548cc462831 | [
"BSD-3-Clause"
] | null | null | null | from datetime import datetime, timedelta
from typing import List, Optional
from django.conf import settings
from django.core.cache import cache
from django.utils.translation import ugettext as _
from celery.schedules import crontab
from celery.task import periodic_task, task
from celery.utils.log import get_task_logg... | 35.600823 | 114 | 0.715871 | from datetime import datetime, timedelta
from typing import List, Optional
from django.conf import settings
from django.core.cache import cache
from django.utils.translation import ugettext as _
from celery.schedules import crontab
from celery.task import periodic_task, task
from celery.utils.log import get_task_logg... | true | true |
790383512eea98d223ed4ed7d48e9d8d7c50f2b1 | 1,254 | py | Python | _Sensation0/DeltaTime.py | Geson-anko/JARVIS3 | bc599a352401a7e135ebaabead4d8e6d8835747e | [
"MIT"
] | null | null | null | _Sensation0/DeltaTime.py | Geson-anko/JARVIS3 | bc599a352401a7e135ebaabead4d8e6d8835747e | [
"MIT"
] | null | null | null | _Sensation0/DeltaTime.py | Geson-anko/JARVIS3 | bc599a352401a7e135ebaabead4d8e6d8835747e | [
"MIT"
] | null | null | null | import os
import torch
import os
import random
from torch.nn import(
Module,Linear,LayerNorm
)
import math
from .AutoEncoder import Encoder
class DeltaT(Module):
def __init__(self):
super().__init__()
self.reset_seed()
self.elem = math.prod(Encoder().output_size)
self.input_size... | 27.26087 | 52 | 0.605263 | import os
import torch
import os
import random
from torch.nn import(
Module,Linear,LayerNorm
)
import math
from .AutoEncoder import Encoder
class DeltaT(Module):
def __init__(self):
super().__init__()
self.reset_seed()
self.elem = math.prod(Encoder().output_size)
self.input_size... | true | true |
79038418e5bde28dec129e68980705856ef4a7fe | 2,622 | py | Python | nicenquickplotlib/config_types.py | SengerM/nicenquickplotlib | 9aeebcd07b581598c418dd47593d3c218bca6ebb | [
"MIT"
] | 2 | 2018-11-27T18:45:42.000Z | 2019-02-20T20:53:17.000Z | nicenquickplotlib/config_types.py | SengerM/nicenquickplotlib | 9aeebcd07b581598c418dd47593d3c218bca6ebb | [
"MIT"
] | null | null | null | nicenquickplotlib/config_types.py | SengerM/nicenquickplotlib | 9aeebcd07b581598c418dd47593d3c218bca6ebb | [
"MIT"
] | 1 | 2021-11-16T06:01:41.000Z | 2021-11-16T06:01:41.000Z | from numbers import Number
import yaml
from .color_tools import hex2rgb
def __default_grid__(ax):
"""This is a temporary function"""
ax.grid(b=True, which='major', color='#000000', alpha=0.2, linestyle='-', linewidth=0.5)
ax.grid(b=True, which='minor', color='#000000', alpha=0.1, linestyle='-', linewidth=0.25)
ax.... | 29.460674 | 147 | 0.691838 | from numbers import Number
import yaml
from .color_tools import hex2rgb
def __default_grid__(ax):
ax.grid(b=True, which='major', color='#000000', alpha=0.2, linestyle='-', linewidth=0.5)
ax.grid(b=True, which='minor', color='#000000', alpha=0.1, linestyle='-', linewidth=0.25)
ax.minorticks_on()
class FigStyle:
d... | true | true |
7903850178306759b658bcc32156d19cd337843b | 19,386 | py | Python | CNN/CNNProcessData.py | soybase/DroneImageScripts | c077325a868237569592bd3820b3d873eddb4f83 | [
"MIT"
] | 3 | 2019-08-04T06:11:15.000Z | 2021-01-20T11:48:05.000Z | CNN/CNNProcessData.py | soybase/DroneImageScripts | c077325a868237569592bd3820b3d873eddb4f83 | [
"MIT"
] | null | null | null | CNN/CNNProcessData.py | soybase/DroneImageScripts | c077325a868237569592bd3820b3d873eddb4f83 | [
"MIT"
] | 3 | 2019-08-04T06:11:18.000Z | 2021-02-18T13:21:58.000Z | # import the necessary packages
import sys
import cv2
import numpy as np
import pandas as pd
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from sklearn.preprocessing import LabelBinarizer
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
from tenso... | 46.939467 | 288 | 0.666254 |
import sys
import cv2
import numpy as np
import pandas as pd
from tensorflow.keras.preprocessing.image import ImageDataGenerator
from sklearn.preprocessing import LabelBinarizer
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
from tensorflow.keras.layers import Batch... | true | true |
790387b7cc575a1aa9ebe6c0b52b791947041c8f | 7,931 | py | Python | napari_animation/_qt/animation_widget.py | tlambert-forks/napari-animation | 8c7119e69933bcba8f0263d3cab966f373a7cc24 | [
"BSD-3-Clause"
] | null | null | null | napari_animation/_qt/animation_widget.py | tlambert-forks/napari-animation | 8c7119e69933bcba8f0263d3cab966f373a7cc24 | [
"BSD-3-Clause"
] | 1 | 2021-05-26T23:29:26.000Z | 2021-05-26T23:29:26.000Z | napari_animation/_qt/animation_widget.py | tlambert-forks/napari-animation | 8c7119e69933bcba8f0263d3cab966f373a7cc24 | [
"BSD-3-Clause"
] | null | null | null | from pathlib import Path
from napari import Viewer
from qtpy.QtCore import Qt
from qtpy.QtWidgets import (
QErrorMessage,
QFileDialog,
QPushButton,
QVBoxLayout,
QWidget,
)
from ..animation import Animation
from .animationslider_widget import AnimationSliderWidget
from .frame_widget import FrameWid... | 35.565022 | 89 | 0.668012 | from pathlib import Path
from napari import Viewer
from qtpy.QtCore import Qt
from qtpy.QtWidgets import (
QErrorMessage,
QFileDialog,
QPushButton,
QVBoxLayout,
QWidget,
)
from ..animation import Animation
from .animationslider_widget import AnimationSliderWidget
from .frame_widget import FrameWid... | true | true |
79038800ff62b848428dce8a67a9e44b4699bb5e | 1,284 | py | Python | imapfw/testing/libcore.py | paralax/imapfw | 740a4fed1a1de28e4134a115a1dd9c6e90e29ec1 | [
"MIT"
] | 492 | 2015-10-12T18:18:48.000Z | 2022-02-14T11:46:46.000Z | imapfw/testing/libcore.py | paralax/imapfw | 740a4fed1a1de28e4134a115a1dd9c6e90e29ec1 | [
"MIT"
] | 21 | 2015-11-10T00:49:07.000Z | 2021-12-30T07:51:25.000Z | imapfw/testing/libcore.py | paralax/imapfw | 740a4fed1a1de28e4134a115a1dd9c6e90e29ec1 | [
"MIT"
] | 40 | 2015-10-15T13:27:31.000Z | 2021-12-30T07:52:24.000Z | # The MIT License (MIT)
#
# Copyright (c) 2015, Nicolas Sebrecht & contributors
#
# 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
... | 41.419355 | 79 | 0.759346 |
import os
import sys
def testingPath():
return os.path.join(
os.path.abspath(sys.modules['imapfw'].__path__[0]),
'testing')
| true | true |
7903881baf28fb04948dceaf26f6f1e7b726da74 | 417 | py | Python | polyaxon/api/repos/serializers.py | elyase/polyaxon | 1c19f059a010a6889e2b7ea340715b2bcfa382a0 | [
"MIT"
] | null | null | null | polyaxon/api/repos/serializers.py | elyase/polyaxon | 1c19f059a010a6889e2b7ea340715b2bcfa382a0 | [
"MIT"
] | null | null | null | polyaxon/api/repos/serializers.py | elyase/polyaxon | 1c19f059a010a6889e2b7ea340715b2bcfa382a0 | [
"MIT"
] | null | null | null | from rest_framework import fields, serializers
from db.models.repos import Repo
class RepoSerializer(serializers.ModelSerializer):
project = fields.SerializerMethodField()
class Meta:
model = Repo
fields = ('project', 'created_at', 'updated_at', 'is_public', )
def get_user(self, obj):
... | 23.166667 | 71 | 0.688249 | from rest_framework import fields, serializers
from db.models.repos import Repo
class RepoSerializer(serializers.ModelSerializer):
project = fields.SerializerMethodField()
class Meta:
model = Repo
fields = ('project', 'created_at', 'updated_at', 'is_public', )
def get_user(self, obj):
... | true | true |
79038875f90d1870f897fdb2f00e9d30483286bc | 1,834 | py | Python | xchainpy/xchainpy_crypto/xchainpy_crypto/models/CryptoStruct.py | tirinox/xchainpy-lib | e01f146993c45ca0dad3ca40f07e7b45ed65653e | [
"MIT"
] | null | null | null | xchainpy/xchainpy_crypto/xchainpy_crypto/models/CryptoStruct.py | tirinox/xchainpy-lib | e01f146993c45ca0dad3ca40f07e7b45ed65653e | [
"MIT"
] | null | null | null | xchainpy/xchainpy_crypto/xchainpy_crypto/models/CryptoStruct.py | tirinox/xchainpy-lib | e01f146993c45ca0dad3ca40f07e7b45ed65653e | [
"MIT"
] | null | null | null | from .KdfParams import KdfParams
from .CipherParams import CipherParams
class CryptoStruct:
def __init__(
self,
cipher: int,
ciphertext: str,
cipherparams: CipherParams,
kdf: str,
kdfparams: KdfParams,
mac: str,
):
self._cipher = cipher
s... | 22.641975 | 69 | 0.609051 | from .KdfParams import KdfParams
from .CipherParams import CipherParams
class CryptoStruct:
def __init__(
self,
cipher: int,
ciphertext: str,
cipherparams: CipherParams,
kdf: str,
kdfparams: KdfParams,
mac: str,
):
self._cipher = cipher
s... | true | true |
790388f30ead9eb8675e63e93d59d9cd81670aea | 3,437 | py | Python | python/paddle/fluid/tests/unittests/ipu/op_test_ipu.py | Li-fAngyU/Paddle | e548f65f96697830035a28f9070b40829408ccdb | [
"Apache-2.0"
] | 2 | 2022-03-30T09:55:45.000Z | 2022-03-30T09:55:49.000Z | python/paddle/fluid/tests/unittests/ipu/op_test_ipu.py | Li-fAngyU/Paddle | e548f65f96697830035a28f9070b40829408ccdb | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/tests/unittests/ipu/op_test_ipu.py | Li-fAngyU/Paddle | e548f65f96697830035a28f9070b40829408ccdb | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 PaddlePaddle 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 app... | 29.376068 | 74 | 0.635438 |
import os
import random
import unittest
import numpy as np
from enum import Enum
import paddle
import paddle.static
map_np_dtype_to_fluid_dtype = {
'bool': "bool",
'int8': "int8",
'uint8': "uint8",
"int32": "int32",
"int64": "int64",
"float16": "float16",
"float32": "float32"... | true | true |
79038907b73bfe51adef149fbff6c6d5dc7f702a | 53,715 | py | Python | cwltool/main.py | suecharo/cwltool | 997bddafe9837c551ff7681e7bbc5f3dea1b3096 | [
"Apache-2.0"
] | null | null | null | cwltool/main.py | suecharo/cwltool | 997bddafe9837c551ff7681e7bbc5f3dea1b3096 | [
"Apache-2.0"
] | 11 | 2022-02-17T03:20:41.000Z | 2022-03-30T10:54:02.000Z | cwltool/main.py | suecharo/cwltool | 997bddafe9837c551ff7681e7bbc5f3dea1b3096 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# PYTHON_ARGCOMPLETE_OK
"""Entry point for cwltool."""
import argparse
import copy
import functools
import io
import logging
import os
import signal
import subprocess # nosec
import sys
import time
import urllib
import warnings
from codecs import StreamWriter, getwriter
from collections.abc imp... | 35.69103 | 88 | 0.574365 |
import argparse
import copy
import functools
import io
import logging
import os
import signal
import subprocess
import sys
import time
import urllib
import warnings
from codecs import StreamWriter, getwriter
from collections.abc import MutableMapping, MutableSequence
from typing import (
IO,
Any,
Calla... | true | true |
790389486d1f0c19a68d44dcefd563bc953d8c5b | 3,715 | py | Python | docs/source/conf.py | m-kuhn/sqlfluff | 8c7bbcd3346abf7f613454b5d597252292be38cb | [
"MIT"
] | null | null | null | docs/source/conf.py | m-kuhn/sqlfluff | 8c7bbcd3346abf7f613454b5d597252292be38cb | [
"MIT"
] | null | null | null | docs/source/conf.py | m-kuhn/sqlfluff | 8c7bbcd3346abf7f613454b5d597252292be38cb | [
"MIT"
] | null | null | null | """Configuration file for the Sphinx documentation builder.
This file only contains a selection of the most common options. For a full
list see the documentation:
https://www.sphinx-doc.org/en/master/usage/configuration.html
"""
import configparser
# -- Path setup -------------------------------------------... | 32.587719 | 82 | 0.655989 |
import configparser
config = configparser.ConfigParser()
config.read(["../../src/sqlfluff/config.ini"])
stable_version = config.get("sqlfluff", "stable_version")
project = "SQLFluff"
copyright = "2019, Alan Cruickshank"
author = "Alan Cruickshank"
release = stable_version
ext... | true | true |
790389e06c57fe14d00a09909593ddc3969e8ca0 | 3,592 | py | Python | swarmlib/cuckoosearch/cuckoo_problem.py | alxfmpl/swarmlib | 625645d466223ebef35fa1492d47e1a252cfd863 | [
"BSD-3-Clause"
] | null | null | null | swarmlib/cuckoosearch/cuckoo_problem.py | alxfmpl/swarmlib | 625645d466223ebef35fa1492d47e1a252cfd863 | [
"BSD-3-Clause"
] | null | null | null | swarmlib/cuckoosearch/cuckoo_problem.py | alxfmpl/swarmlib | 625645d466223ebef35fa1492d47e1a252cfd863 | [
"BSD-3-Clause"
] | 2 | 2020-09-30T21:29:26.000Z | 2020-12-22T15:15:52.000Z | # ------------------------------------------------------------------------------------------------------
# Copyright (c) Leo Hanisch. All rights reserved.
# Licensed under the BSD 3-Clause License. See LICENSE.txt in the project root for license information.
# ---------------------------------------------------------... | 40.359551 | 145 | 0.612194 |
from copy import deepcopy
import logging
import numpy as np
from .nest import Nest
from ..util import levy_flight as cuckoo
from .visualizer import Visualizer
LOGGER = logging.getLogger(__name__)
class CuckooProblem:
def __init__(self, **kwargs):
self.__upper_boundary = kwargs.get('upper_boundar... | true | true |
79038afe4fbca1d48d22cec79d9ae113b6a2ec81 | 895 | py | Python | Arcpy Script/SplitGDB/splitGDBTool.py | AkutoSai/ArcGIS | 3bad0e06e7f99d4a91714abc575460383abebbd9 | [
"Apache-2.0"
] | null | null | null | Arcpy Script/SplitGDB/splitGDBTool.py | AkutoSai/ArcGIS | 3bad0e06e7f99d4a91714abc575460383abebbd9 | [
"Apache-2.0"
] | null | null | null | Arcpy Script/SplitGDB/splitGDBTool.py | AkutoSai/ArcGIS | 3bad0e06e7f99d4a91714abc575460383abebbd9 | [
"Apache-2.0"
] | null | null | null | import os
import arcpy
from arcpy import env
import time
def splitGDBTool(inputGDB,inputFrame,splitField,outputDir):
# Get FCs to be cliped
env.workspace = inputGDB
inputFCs = arcpy.ListFeatureClasses()
countFCs =len(inputFCs)
cursor = arcpy.da.SearchCursor(inputFrame,["TID","SHAPE@"])
in... | 33.148148 | 77 | 0.622346 | import os
import arcpy
from arcpy import env
import time
def splitGDBTool(inputGDB,inputFrame,splitField,outputDir):
env.workspace = inputGDB
inputFCs = arcpy.ListFeatureClasses()
countFCs =len(inputFCs)
cursor = arcpy.da.SearchCursor(inputFrame,["TID","SHAPE@"])
index = 1
for row in... | false | true |
79038b3e118983bc62e021442b3e8f2c6f1fa0d7 | 1,003 | py | Python | examples/outlook/send_message.py | stardust85/Office365-REST-Python-Client | cd369c607c7d137a000734e9c5e8f03ae3e3c603 | [
"MIT"
] | null | null | null | examples/outlook/send_message.py | stardust85/Office365-REST-Python-Client | cd369c607c7d137a000734e9c5e8f03ae3e3c603 | [
"MIT"
] | null | null | null | examples/outlook/send_message.py | stardust85/Office365-REST-Python-Client | cd369c607c7d137a000734e9c5e8f03ae3e3c603 | [
"MIT"
] | null | null | null | from office365.graph.graph_client import GraphClient
from settings import settings
def get_token(auth_ctx):
"""Acquire token via client credential flow (ADAL Python library is utilized)"""
token = auth_ctx.acquire_token_with_client_credentials(
"https://graph.microsoft.com",
settings['client_c... | 27.861111 | 84 | 0.612164 | from office365.graph.graph_client import GraphClient
from settings import settings
def get_token(auth_ctx):
token = auth_ctx.acquire_token_with_client_credentials(
"https://graph.microsoft.com",
settings['client_credentials']['client_id'],
settings['client_credentials']['client_secret'])
... | true | true |
79038b49ef48f09871d20739b84b9b0fc714ba5a | 1,501 | py | Python | Week-7/Day-42.py | abusamrah2005/Python | b601a9daf8a5245bbcc1466d629adda43ed7c6ca | [
"Unlicense"
] | 4 | 2019-09-21T22:47:53.000Z | 2020-04-17T03:32:21.000Z | Week-7/Day-42.py | abusamrah2005/Python | b601a9daf8a5245bbcc1466d629adda43ed7c6ca | [
"Unlicense"
] | null | null | null | Week-7/Day-42.py | abusamrah2005/Python | b601a9daf8a5245bbcc1466d629adda43ed7c6ca | [
"Unlicense"
] | 2 | 2019-09-21T22:47:59.000Z | 2020-04-17T03:32:14.000Z | # # Python Week-7 Day-42
# Python Classes and Objects 2
print(" -- Let us create a method in the Person class --")
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
def myfunc(self):
print("Hello my name is " + self.name )
p1 = Person("John", "36")
p1.myfunc(... | 20.847222 | 77 | 0.588941 | reate a method in the Person class --")
class Person:
def __init__(self, name, age):
self.name = name
self.age = age
def myfunc(self):
print("Hello my name is " + self.name )
p1 = Person("John", "36")
p1.myfunc()
print("----")
class Car:
def __init__(self, brand, price):
se... | true | true |
79038b924918e263216f834e45808435613c405f | 8,356 | py | Python | test/functional/feature_proxy.py | barrystyle/Pricecoin | dc30cbc16cbb249a63e8ec3cbc31b04b887d4d58 | [
"MIT"
] | 4 | 2018-04-24T20:56:48.000Z | 2020-03-01T09:54:29.000Z | test/functional/feature_proxy.py | barrystyle/Pricecoin | dc30cbc16cbb249a63e8ec3cbc31b04b887d4d58 | [
"MIT"
] | 2 | 2018-05-06T17:37:59.000Z | 2018-07-06T11:36:18.000Z | test/functional/feature_proxy.py | barrystyle/Pricecoin | dc30cbc16cbb249a63e8ec3cbc31b04b887d4d58 | [
"MIT"
] | 2 | 2019-01-20T20:56:15.000Z | 2019-02-12T03:47:16.000Z | #!/usr/bin/env python3
# Copyright (c) 2015-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test pricecoind with different proxy configuration.
Test plan:
- Start pricecoind's with different pro... | 41.366337 | 121 | 0.625299 |
import socket
import os
from test_framework.socks5 import Socks5Configuration, Socks5Command, Socks5Server, AddressType
from test_framework.test_framework import BitcoinTestFramework
from test_framework.util import (
PORT_MIN,
PORT_RANGE,
assert_equal,
)
from test_framework.netutil import test_ipv6_lo... | true | true |
79038b92a0283038fcc4f27a83a28e127274409d | 805 | py | Python | scripts/2-aggregate-land-cover.py | olga-turkovska/land-cover-patterns | 67bbf0d01b7bb5ec5b1376a9fbc1da59addf2e31 | [
"MIT"
] | null | null | null | scripts/2-aggregate-land-cover.py | olga-turkovska/land-cover-patterns | 67bbf0d01b7bb5ec5b1376a9fbc1da59addf2e31 | [
"MIT"
] | null | null | null | scripts/2-aggregate-land-cover.py | olga-turkovska/land-cover-patterns | 67bbf0d01b7bb5ec5b1376a9fbc1da59addf2e31 | [
"MIT"
] | null | null | null | import os
import numpy as np
import rasterio
aggregate_forest = np.vectorize(lambda x: np.where(0 < x < 6, 1, x))
aggregate_agriculture = np.vectorize(lambda x: np.where(11 < x < 21, 21, x))
for dirs, subdirs, files in os.walk('../output/ceara/'):
for file in files:
wp_raster = rasterio.open('../output/... | 33.541667 | 118 | 0.643478 | import os
import numpy as np
import rasterio
aggregate_forest = np.vectorize(lambda x: np.where(0 < x < 6, 1, x))
aggregate_agriculture = np.vectorize(lambda x: np.where(11 < x < 21, 21, x))
for dirs, subdirs, files in os.walk('../output/ceara/'):
for file in files:
wp_raster = rasterio.open('../output/... | true | true |
79038bb6da2b2408011106999d8fd2068c1db016 | 1,760 | py | Python | sknetwork/utils/seeds.py | altana-tech/scikit-network | dedc9d3e694c7106e4709aae22dffb5142c15859 | [
"BSD-3-Clause"
] | 1 | 2020-09-14T11:06:13.000Z | 2020-09-14T11:06:13.000Z | sknetwork/utils/seeds.py | altana-tech/scikit-network | dedc9d3e694c7106e4709aae22dffb5142c15859 | [
"BSD-3-Clause"
] | 2 | 2020-10-17T08:21:38.000Z | 2020-10-21T09:13:30.000Z | sknetwork/utils/seeds.py | altana-tech/scikit-network | dedc9d3e694c7106e4709aae22dffb5142c15859 | [
"BSD-3-Clause"
] | 1 | 2020-06-19T09:39:11.000Z | 2020-06-19T09:39:11.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Apr, 2019
@author: Nathan de Lara <ndelara@enst.fr>
"""
from typing import Optional, Union
import numpy as np
from sknetwork.utils.check import check_seeds
def stack_seeds(n_row: int, n_col: int, seeds_row: Optional[Union[np.ndarray, dict]],
... | 30.877193 | 110 | 0.628409 |
from typing import Optional, Union
import numpy as np
from sknetwork.utils.check import check_seeds
def stack_seeds(n_row: int, n_col: int, seeds_row: Optional[Union[np.ndarray, dict]],
seeds_col: Optional[Union[np.ndarray, dict]] = None, default_value: float = -1) -> np.ndarray:
if seeds_row ... | true | true |
79038c55ad7da113a70b0e7af3aba518741e5dde | 1,803 | py | Python | python-django/djmultidb/app1/management/commands/set_thing.py | dictoss/proto | 972d8cb3d1b94d771be4c678d11927a6b478317f | [
"BSD-2-Clause"
] | null | null | null | python-django/djmultidb/app1/management/commands/set_thing.py | dictoss/proto | 972d8cb3d1b94d771be4c678d11927a6b478317f | [
"BSD-2-Clause"
] | 8 | 2020-02-28T20:25:16.000Z | 2021-02-27T14:12:55.000Z | python-django/djmultidb/app1/management/commands/set_thing.py | dictoss/proto | 972d8cb3d1b94d771be4c678d11927a6b478317f | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import sys
import datetime
from django.core.management.base import BaseCommand, CommandError
from django.utils import timezone
from django.conf import settings
from app1.models import Thing
class Command(BaseCommand):
args = '<id name>'
help = 'create or update thing model.... | 27.318182 | 76 | 0.460344 |
import os
import sys
import datetime
from django.core.management.base import BaseCommand, CommandError
from django.utils import timezone
from django.conf import settings
from app1.models import Thing
class Command(BaseCommand):
args = '<id name>'
help = 'create or update thing model.'
use_settings = 's... | true | true |
79038ddc5f95f32085d5a5e9cabd051d704108f4 | 508 | py | Python | src/m101p/week02/lesson_files/hemmerling_week2_01.py | hemmerling/nosql-mongodb2013 | bd2bb4f76234e0732b738f14cb474f7554c864c1 | [
"Apache-2.0"
] | null | null | null | src/m101p/week02/lesson_files/hemmerling_week2_01.py | hemmerling/nosql-mongodb2013 | bd2bb4f76234e0732b738f14cb474f7554c864c1 | [
"Apache-2.0"
] | null | null | null | src/m101p/week02/lesson_files/hemmerling_week2_01.py | hemmerling/nosql-mongodb2013 | bd2bb4f76234e0732b738f14cb474f7554c864c1 | [
"Apache-2.0"
] | null | null | null | import pymongo
import sys
# establish a connection to the database
# note this uses the now deprecated Connection class, as we did in the lecture.
# MongoClient is the preferred way of connecting.
connection = pymongo.Connection("mongodb://localhost", safe=True)
# get a handle to the school database
db=conn... | 23.090909 | 80 | 0.679134 | import pymongo
import sys
connection = pymongo.Connection("mongodb://localhost", safe=True)
db=connection.school
scores = db.scores
query = {''}
try:
doc = scores.find_one(query)
except:
print "Unexpected error:", sys.exc_info()[0]
print doc
| false | true |
79039026c03ab9d987d6ab9c76340fb9530f7d99 | 1,040 | py | Python | test/unit/reductions/exponentiated_gradient/simple_learners.py | Dref360/fairlearn | 7042181add288c65174ac065f1474928e11f3f4c | [
"MIT"
] | 1 | 2020-09-02T05:59:56.000Z | 2020-09-02T05:59:56.000Z | test/unit/reductions/exponentiated_gradient/simple_learners.py | chrinide/fairlearn | 8f087fbb0b27740d10b31d95706bb175a4b4581c | [
"MIT"
] | 6 | 2021-03-11T00:38:07.000Z | 2022-02-27T07:50:00.000Z | test/unit/reductions/exponentiated_gradient/simple_learners.py | chrinide/fairlearn | 8f087fbb0b27740d10b31d95706bb175a4b4581c | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation and contributors.
# Licensed under the MIT License.
import numpy as np
import pandas as pd
class LeastSquaresBinaryClassifierLearner:
def __init__(self):
self.weights = None
def fit(self, X, Y, sample_weight):
sqrtW = np.sqrt(sample_weight)
matX ... | 28.108108 | 64 | 0.623077 |
import numpy as np
import pandas as pd
class LeastSquaresBinaryClassifierLearner:
def __init__(self):
self.weights = None
def fit(self, X, Y, sample_weight):
sqrtW = np.sqrt(sample_weight)
matX = np.array(X) * sqrtW[:, np.newaxis]
vecY = Y * sqrtW
self.lsqinfo = np.... | true | true |
7903904fe37652d8f18fd832aa590c0aec7e87a4 | 2,111 | py | Python | toby.py | axxiao/toby | de64f4b2f5e39531d08143e99cf2785992010a13 | [
"MIT"
] | null | null | null | toby.py | axxiao/toby | de64f4b2f5e39531d08143e99cf2785992010a13 | [
"MIT"
] | null | null | null | toby.py | axxiao/toby | de64f4b2f5e39531d08143e99cf2785992010a13 | [
"MIT"
] | null | null | null | # The Core of Toby
from flask import Flask, request, jsonify, g
import os
import logging
from ax.log import trace_error
from ax.connection import DatabaseConnection
from ax.datetime import now
from ax.tools import load_function, get_uuid, decrypt
from ax.exception import InvalidToken
logger = logging.getLogger('werkz... | 30.157143 | 100 | 0.658456 |
from flask import Flask, request, jsonify, g
import os
import logging
from ax.log import trace_error
from ax.connection import DatabaseConnection
from ax.datetime import now
from ax.tools import load_function, get_uuid, decrypt
from ax.exception import InvalidToken
logger = logging.getLogger('werkzeug')
debug_flg = ... | true | true |
79039090b5ba670aae52d062c1e99a1d92faca54 | 209 | py | Python | tests/test_activeLearning.py | sankhaMukherjee/activeLearning | a739280e2c9e026358ede62720c7d5e4d20b9e12 | [
"MIT"
] | null | null | null | tests/test_activeLearning.py | sankhaMukherjee/activeLearning | a739280e2c9e026358ede62720c7d5e4d20b9e12 | [
"MIT"
] | null | null | null | tests/test_activeLearning.py | sankhaMukherjee/activeLearning | a739280e2c9e026358ede62720c7d5e4d20b9e12 | [
"MIT"
] | null | null | null | import pytest
import activeLearning as tP
def test_sayHello():
assert tP.sayHello() == 'Hello World'
assert tP.sayHello('Sankha') == 'Hello Sankha'
assert tP.sayHello(-1) == 'Hello -1'
return
| 23.222222 | 50 | 0.669856 | import pytest
import activeLearning as tP
def test_sayHello():
assert tP.sayHello() == 'Hello World'
assert tP.sayHello('Sankha') == 'Hello Sankha'
assert tP.sayHello(-1) == 'Hello -1'
return
| true | true |
7903926acbaa8d31eb11ec47f8286b0261947b45 | 4,519 | py | Python | networking_bgp_ovn/drivers/openstack/utils/frr.py | luis5tb/networking-bgp-ovn | 3c3d71bd045a971390fda89e5f0e724b490ee80f | [
"Apache-2.0"
] | 1 | 2022-01-28T14:38:53.000Z | 2022-01-28T14:38:53.000Z | networking_bgp_ovn/drivers/openstack/utils/frr.py | luis5tb/networking-bgp-ovn | 3c3d71bd045a971390fda89e5f0e724b490ee80f | [
"Apache-2.0"
] | null | null | null | networking_bgp_ovn/drivers/openstack/utils/frr.py | luis5tb/networking-bgp-ovn | 3c3d71bd045a971390fda89e5f0e724b490ee80f | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 31.165517 | 77 | 0.669617 |
import json
from jinja2 import Template
from oslo_concurrency import processutils
from oslo_log import log as logging
from networking_bgp_ovn import constants
LOG = logging.getLogger(__name__)
ADD_VRF_TEMPLATE = '''
vrf {{ vrf_name }}
vni {{ vni }}
exit-vrf
router bgp {{ bgp_as }} vrf {{ vrf_name }... | true | true |
7903928af3e822cd867926c5aa1b2c70382d029b | 481 | py | Python | scripts/fiftyone_sample.py | bikramA/sample-code | 47efe43583046a1aa31660872d30bea5669e827a | [
"BSD-2-Clause"
] | null | null | null | scripts/fiftyone_sample.py | bikramA/sample-code | 47efe43583046a1aa31660872d30bea5669e827a | [
"BSD-2-Clause"
] | null | null | null | scripts/fiftyone_sample.py | bikramA/sample-code | 47efe43583046a1aa31660872d30bea5669e827a | [
"BSD-2-Clause"
] | null | null | null | import fiftyone as fo
import fiftyone.zoo as foz
# Load Dataset
dataset = foz.load_zoo_dataset("coco-2017", split="validation")
# Randomly select 20 samples on which to generate predictions
view = dataset.take(20)
# Load zoo model
model = foz.load_zoo_model("keypoint-rcnn-resnet50-fpn-coco-torch")
# Run Inferen... | 21.863636 | 67 | 0.77131 | import fiftyone as fo
import fiftyone.zoo as foz
dataset = foz.load_zoo_dataset("coco-2017", split="validation")
view = dataset.take(20)
model = foz.load_zoo_model("keypoint-rcnn-resnet50-fpn-coco-torch")
view.apply_model(model, label_field="predictions")
session = fo.launch_app(dataset)
session.view = v... | true | true |
790392b5f069c2c394c4071f1fe6c1063d4ce649 | 4,837 | py | Python | portfolio_functions.py | MaxGosselin/portfolio_optimizer | a137d5b029aff0b584adb9df0ba8bf1831731882 | [
"MIT",
"Unlicense"
] | 3 | 2019-03-28T15:38:52.000Z | 2020-12-16T21:11:30.000Z | portfolio_functions.py | MaxGosselin/portfolio_optimizer | a137d5b029aff0b584adb9df0ba8bf1831731882 | [
"MIT",
"Unlicense"
] | null | null | null | portfolio_functions.py | MaxGosselin/portfolio_optimizer | a137d5b029aff0b584adb9df0ba8bf1831731882 | [
"MIT",
"Unlicense"
] | null | null | null | '''
A collection of functions to perform portfolio analysis.
Max Gosselin, 2019
'''
import numpy as np
import pandas as pd
from scipy import optimize
def portfolio_metrics(weights, avg_xs_returns, covariance_matrix):
''' Compute basic portfolio metrics: return, stdv, sharpe ratio '''
por... | 32.682432 | 112 | 0.647509 | import numpy as np
import pandas as pd
from scipy import optimize
def portfolio_metrics(weights, avg_xs_returns, covariance_matrix):
portfolio_return = np.sum(weights * avg_xs_returns)
portfolio_stdv = np.sqrt(np.dot(weights.T, np.dot(weights, covariance_matrix)))
portfolio_sharpe = portfolio_return... | true | true |
7903935e85620581cc46d245843af981f771fb1d | 102,390 | py | Python | pudb/debugger.py | ranelpadon/pudb | 634393f0cb482139af0419c637f2e84b8bb90d16 | [
"MIT"
] | null | null | null | pudb/debugger.py | ranelpadon/pudb | 634393f0cb482139af0419c637f2e84b8bb90d16 | [
"MIT"
] | null | null | null | pudb/debugger.py | ranelpadon/pudb | 634393f0cb482139af0419c637f2e84b8bb90d16 | [
"MIT"
] | 1 | 2021-05-13T13:15:47.000Z | 2021-05-13T13:15:47.000Z | __copyright__ = """
Copyright (C) 2009-2017 Andreas Kloeckner
Copyright (C) 2014-2017 Aaron Meurer
"""
__license__ = """
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, includ... | 36.963899 | 106 | 0.547339 | __copyright__ = """
Copyright (C) 2009-2017 Andreas Kloeckner
Copyright (C) 2014-2017 Aaron Meurer
"""
__license__ = """
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, includ... | true | true |
7903937f6bb0416f831585c48a017b3d93a5019d | 1,474 | py | Python | merge/evaluation.py | matroshenko/SPLERGE_via_TF | 1768485985b00fd7dabd726d8d24cbdb947dd143 | [
"MIT"
] | null | null | null | merge/evaluation.py | matroshenko/SPLERGE_via_TF | 1768485985b00fd7dabd726d8d24cbdb947dd143 | [
"MIT"
] | null | null | null | merge/evaluation.py | matroshenko/SPLERGE_via_TF | 1768485985b00fd7dabd726d8d24cbdb947dd143 | [
"MIT"
] | null | null | null | import os
import tensorflow as tf
from merge.model import Model
def run_model_on_random_input(model):
batch_size = 1
height = 100
width = 200
inputs = {
'image': tf.random.uniform(shape=(batch_size, height, width, 3), minval=0, maxval=256, dtype='int32'),
'horz_split_points_probs': tf... | 33.5 | 117 | 0.681818 | import os
import tensorflow as tf
from merge.model import Model
def run_model_on_random_input(model):
batch_size = 1
height = 100
width = 200
inputs = {
'image': tf.random.uniform(shape=(batch_size, height, width, 3), minval=0, maxval=256, dtype='int32'),
'horz_split_points_probs': tf... | true | true |
7903939aab6de4ba538bf96ddafc16c8c872aaee | 26,827 | py | Python | nova/objects/service.py | bopopescu/TestNova | fb6a183b54f87cc078dc6de5be89711ec0d9ac26 | [
"Apache-2.0"
] | 1 | 2018-08-19T02:13:16.000Z | 2018-08-19T02:13:16.000Z | nova/objects/service.py | bopopescu/TestNova | fb6a183b54f87cc078dc6de5be89711ec0d9ac26 | [
"Apache-2.0"
] | null | null | null | nova/objects/service.py | bopopescu/TestNova | fb6a183b54f87cc078dc6de5be89711ec0d9ac26 | [
"Apache-2.0"
] | 1 | 2020-07-22T22:13:56.000Z | 2020-07-22T22:13:56.000Z | # Copyright 2013 IBM Corp.
#
# 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... | 43.90671 | 79 | 0.65654 |
from oslo_log import log as logging
from oslo_utils import uuidutils
from oslo_utils import versionutils
from nova import availability_zones
from nova import context as nova_context
from nova.db import api as db
from nova import exception
from nova.notifications.objects import base as notification
from n... | true | true |
790394d5ea8b5dd0bdf13a15a8555b225ffabcdb | 698 | py | Python | pyimage/contour.py | egonw/pyamiimage | 8e436bae06a0c13a4265a186832e0e679512b7b9 | [
"Apache-2.0"
] | null | null | null | pyimage/contour.py | egonw/pyamiimage | 8e436bae06a0c13a4265a186832e0e679512b7b9 | [
"Apache-2.0"
] | null | null | null | pyimage/contour.py | egonw/pyamiimage | 8e436bae06a0c13a4265a186832e0e679512b7b9 | [
"Apache-2.0"
] | null | null | null | from skimage.measure import find_contours
from skimage import io
from skimage.color import rgb2gray
from matplotlib import pyplot as plt
image = io.imread('contour_finding_test.png')
# image = io.imread('FlowchartDiagram.png')
image = rgb2gray(image)
out = find_contours(image)
print(len(out))
# Find contours at a con... | 24.068966 | 54 | 0.73639 | from skimage.measure import find_contours
from skimage import io
from skimage.color import rgb2gray
from matplotlib import pyplot as plt
image = io.imread('contour_finding_test.png')
image = rgb2gray(image)
out = find_contours(image)
print(len(out))
contours = find_contours(image, )
fig, ax = plt.subplots()
ax.i... | true | true |
79039637a8ba70cae08df88e95efa8bbdd83dbea | 87,595 | py | Python | fpn/symbols/resnet_v1_101_fpn_dcn_rcnn.py | chi3x10/RepMet | d5b13e01940bbb7ed59dd1ff073e03c0808f76c0 | [
"Apache-2.0"
] | 103 | 2019-08-16T11:55:04.000Z | 2022-03-04T16:47:57.000Z | fpn/symbols/resnet_v1_101_fpn_dcn_rcnn.py | chi3x10/RepMet | d5b13e01940bbb7ed59dd1ff073e03c0808f76c0 | [
"Apache-2.0"
] | 33 | 2019-05-25T08:42:06.000Z | 2022-03-08T21:32:10.000Z | fpn/symbols/resnet_v1_101_fpn_dcn_rcnn.py | chi3x10/RepMet | d5b13e01940bbb7ed59dd1ff073e03c0808f76c0 | [
"Apache-2.0"
] | 18 | 2019-09-14T07:35:39.000Z | 2021-11-25T04:25:20.000Z | # --------------------------------------------------------
# Deformable Convolutional Networks
# Copyright (c) 2017 Microsoft
# Copyright (c) 2019 IBM Corp
# Licensed under The Apache-2.0 License [see LICENSE for details]
# Written by Haozhi Qi
# --------------------------------------------------------
import cPickle
... | 84.961203 | 180 | 0.616405 |
import cPickle
import mxnet as mx
from utils.symbol import Symbol
from operator_py.pyramid_proposal import *
from operator_py.proposal_target import *
from operator_py.fpn_roi_pooling import *
from operator_py.box_annotator_ohem import *
class resnet_v1_101_fpn_dcn_rcnn(Symbol):
def __init__(self):
... | true | true |
79039699e8da9a86f9037003a59b5e1b506c12b0 | 878 | py | Python | hangman_art.py | iliescua/Hangman | 1496e798b0bca5d0ee90abd81d05e98359e82e32 | [
"MIT"
] | null | null | null | hangman_art.py | iliescua/Hangman | 1496e798b0bca5d0ee90abd81d05e98359e82e32 | [
"MIT"
] | null | null | null | hangman_art.py | iliescua/Hangman | 1496e798b0bca5d0ee90abd81d05e98359e82e32 | [
"MIT"
] | null | null | null | stages = ['''
+---+
| |
O |
/|\ |
/ \ |
|
=========
''', '''
+---+
| |
O |
/|\ |
/ |
|
=========
''', '''
+---+
| |
O |
/|\ |
|
|
=========
''', '''
+---+
| |
O |
/| |
|
|
=========
''', '''
+---+
| |
O |
| |
... | 12.911765 | 47 | 0.083144 | stages = ['''
+---+
| |
O |
/|\ |
/ \ |
|
=========
''', '''
+---+
| |
O |
/|\ |
/ |
|
=========
''', '''
+---+
| |
O |
/|\ |
|
|
=========
''', '''
+---+
| |
O |
/| |
|
|
=========
''', '''
+---+
| |
O |
| |
... | true | true |
790396b61bf4d5f37393f78f27b7f46c717a0e4c | 8,168 | py | Python | pybind/nos/v7_1_0/interface/hundredgigabitethernet/switchport/access_mac_group_rspan_vlan_classification/access/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/nos/v7_1_0/interface/hundredgigabitethernet/switchport/access_mac_group_rspan_vlan_classification/access/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | null | null | null | pybind/nos/v7_1_0/interface/hundredgigabitethernet/switchport/access_mac_group_rspan_vlan_classification/access/__init__.py | shivharis/pybind | 4e1c6d54b9fd722ccec25546ba2413d79ce337e6 | [
"Apache-2.0"
] | 1 | 2021-11-05T22:15:42.000Z | 2021-11-05T22:15:42.000Z |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from d... | 64.825397 | 995 | 0.727473 |
from operator import attrgetter
import pyangbind.lib.xpathhelper as xpathhelper
from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType
from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType
from pyangbind.lib.base import PybindBase
from d... | true | true |
7903978e1bf5aefe5653377b87e799583916b62e | 897 | py | Python | Debugging-4/cipher2_0.py | Ena-Sharma/Meraki_Solution | 1bfff62f6aeb69354712d0b5a9e46ddacff357f5 | [
"MIT"
] | null | null | null | Debugging-4/cipher2_0.py | Ena-Sharma/Meraki_Solution | 1bfff62f6aeb69354712d0b5a9e46ddacff357f5 | [
"MIT"
] | null | null | null | Debugging-4/cipher2_0.py | Ena-Sharma/Meraki_Solution | 1bfff62f6aeb69354712d0b5a9e46ddacff357f5 | [
"MIT"
] | null | null | null | def encrypt():
message = raw_input("Enter the message you want to encrypt")
ascii_message = [ord(char)+3 for char in message]
encrypt_message = [ chr(char) for char in ascii_message]
print ''.join(encrypt_message)
def decrypt():
message = raw_input("Enter the message you want to decrypt")
ascii_message =... | 35.88 | 124 | 0.653289 | def encrypt():
message = raw_input("Enter the message you want to encrypt")
ascii_message = [ord(char)+3 for char in message]
encrypt_message = [ chr(char) for char in ascii_message]
print ''.join(encrypt_message)
def decrypt():
message = raw_input("Enter the message you want to decrypt")
ascii_message =... | false | true |
790397efa8cf4438d741c56685a6de6445f3ae7b | 2,013 | py | Python | camcan/utils/file_parsing.py | dengemann/engemann-2020-multimodal-brain-age | ceffb1e01658e31d19dfc4dc0be7aff1d6d21af5 | [
"BSD-3-Clause"
] | 6 | 2020-11-11T21:26:20.000Z | 2022-01-18T17:18:45.000Z | camcan/utils/file_parsing.py | dengemann/engemann-2020-multimodal-brain-age | ceffb1e01658e31d19dfc4dc0be7aff1d6d21af5 | [
"BSD-3-Clause"
] | 1 | 2022-03-14T07:56:17.000Z | 2022-03-14T07:56:17.000Z | camcan/utils/file_parsing.py | dengemann/engemann-2020-multimodal-brain-age | ceffb1e01658e31d19dfc4dc0be7aff1d6d21af5 | [
"BSD-3-Clause"
] | 3 | 2020-06-10T08:34:04.000Z | 2022-03-14T01:37:08.000Z | """Utility functions for parcinging Freesurfer output files."""
from os.path import join
import nibabel as nb
import numpy as np
def _vectorize_fs_surf(file_path):
"""
Read surface information from a file and turn it into a vector.
Parameters
----------
file_path : str
The path to a file... | 23.682353 | 79 | 0.655241 | from os.path import join
import nibabel as nb
import numpy as np
def _vectorize_fs_surf(file_path):
img = nb.load(file_path)
in_data = img.get_fdata().squeeze()
return in_data
def get_area(subject_dir, n_points):
AREA_FILES = ('lh.area.mgh', 'rh.area.mgh')
lh_data = _vectorize_fs_surf(join(s... | true | true |
79039872cc9abafdc8159212741d7d68cb5e4148 | 1,566 | py | Python | services/dbus.py | sourceperl/docker.mqttwarn | 9d87337f766843c8bdee34eba8d29776e7032009 | [
"MIT"
] | null | null | null | services/dbus.py | sourceperl/docker.mqttwarn | 9d87337f766843c8bdee34eba8d29776e7032009 | [
"MIT"
] | null | null | null | services/dbus.py | sourceperl/docker.mqttwarn | 9d87337f766843c8bdee34eba8d29776e7032009 | [
"MIT"
] | 2 | 2016-09-03T09:12:17.000Z | 2020-03-03T11:58:40.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Fabian Affolter <fabian()affolter-engineering.ch>'
__copyright__ = 'Copyright 2014 Fabian Affolter'
__license__ = """Eclipse Public License - v 1.0 (http://www.eclipse.org/legal/epl-v10.html)"""
HAVE_DBUS=True
try:
import dbus
except ImportError:
... | 32.625 | 98 | 0.649425 |
__author__ = 'Fabian Affolter <fabian()affolter-engineering.ch>'
__copyright__ = 'Copyright 2014 Fabian Affolter'
__license__ = """Eclipse Public License - v 1.0 (http://www.eclipse.org/legal/epl-v10.html)"""
HAVE_DBUS=True
try:
import dbus
except ImportError:
HAVE_DBUS=False
def plugin(srv, item):
... | false | true |
7903989fcebaee5cb6e8974cc5e22a12743d250d | 2,052 | py | Python | solution/322. coin-change.py | sundaycat/Leetcode-Practice | 65c3ab0f967331a095fd8a6eb2f3d7765cbf7d5a | [
"MIT"
] | null | null | null | solution/322. coin-change.py | sundaycat/Leetcode-Practice | 65c3ab0f967331a095fd8a6eb2f3d7765cbf7d5a | [
"MIT"
] | null | null | null | solution/322. coin-change.py | sundaycat/Leetcode-Practice | 65c3ab0f967331a095fd8a6eb2f3d7765cbf7d5a | [
"MIT"
] | null | null | null | from typing import List
'''
1. subproblems: dp(amount) the minimum number of coins needed to make changes for amount of S using the given coin denomination
2. guessing: all the available denomination c_i
3. relate subproblems: dp(amount) = min(dp(amount - c_i) + 1) for all possible c_i
Time complexity: O(#subproblems... | 28.109589 | 127 | 0.520955 | from typing import List
class Solution:
def coinChange(self, coins: List[int], amount: int) -> int:
if amount < 1:
return 0
memo = {}
def helper(coins, amount):
if amount in memo:
return memo[amount]
... | true | true |
7903992ac7de71bacf377fd223285dda8e5412ab | 24,867 | py | Python | tensorflow/python/distribute/cross_device_utils.py | wenming2014/tensorflow | a102a6a71844e194f3946f6318768c5367f1f16b | [
"Apache-2.0"
] | 5 | 2018-07-04T22:14:02.000Z | 2018-07-04T22:21:43.000Z | tensorflow/python/distribute/cross_device_utils.py | wenming2014/tensorflow | a102a6a71844e194f3946f6318768c5367f1f16b | [
"Apache-2.0"
] | null | null | null | tensorflow/python/distribute/cross_device_utils.py | wenming2014/tensorflow | a102a6a71844e194f3946f6318768c5367f1f16b | [
"Apache-2.0"
] | 1 | 2018-11-30T01:35:01.000Z | 2018-11-30T01:35:01.000Z | # Copyright 2018 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... | 37.004464 | 102 | 0.699441 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections as pycoll
import threading
from tensorflow.python.distribute import all_reduce
from tensorflow.python.distribute import values as value_lib
from tensorflow.python.framework im... | true | true |
790399e89ce51b58c898b32b4311c39afd9e7625 | 1,518 | py | Python | V2_action-how-are-you.py | mikpan/amld19-snips-workshop | b7a57c2f2758718de79c33ef163e371277cde3bd | [
"MIT"
] | null | null | null | V2_action-how-are-you.py | mikpan/amld19-snips-workshop | b7a57c2f2758718de79c33ef163e371277cde3bd | [
"MIT"
] | null | null | null | V2_action-how-are-you.py | mikpan/amld19-snips-workshop | b7a57c2f2758718de79c33ef163e371277cde3bd | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
from hermes_python.hermes import Hermes
INTENT_HOW_ARE_YOU = "mikpan:how_are_you"
INTENT_GOOD = "bezzam:feeling_good"
INTENT_BAD = "bezzam:feeling_bad"
INTENT_ALRIGHT = "bezzam:feeling_alright"
INTENT_FILTER_FEELING = [INTENT_GOOD, INTENT_BAD, INTENT_ALRIGHT]
def main(... | 31.625 | 80 | 0.755599 |
from hermes_python.hermes import Hermes
INTENT_HOW_ARE_YOU = "mikpan:how_are_you"
INTENT_GOOD = "bezzam:feeling_good"
INTENT_BAD = "bezzam:feeling_bad"
INTENT_ALRIGHT = "bezzam:feeling_alright"
INTENT_FILTER_FEELING = [INTENT_GOOD, INTENT_BAD, INTENT_ALRIGHT]
def main():
with Hermes("localhost:1883") as h:
... | true | true |
79039ae1980eeb4c918c70fc1e15e4c604c8d3eb | 1,477 | py | Python | tests/fuzzer/fuzz_packet.py | 1ndochine/faucet | f207c7af99982b6cad9372172ce94cb077f87997 | [
"Apache-2.0"
] | 1 | 2018-11-07T14:30:19.000Z | 2018-11-07T14:30:19.000Z | tests/fuzzer/fuzz_packet.py | 1ndochine/faucet | f207c7af99982b6cad9372172ce94cb077f87997 | [
"Apache-2.0"
] | null | null | null | tests/fuzzer/fuzz_packet.py | 1ndochine/faucet | f207c7af99982b6cad9372172ce94cb077f87997 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
"""Run AFL repeatedly with externally supplied generated packet from STDIN."""
import logging
import sys
from ryu.controller import dpset
from faucet import faucet
from faucet import faucet_experimental_api
import afl
import fake_packet
ROUNDS = 1
logging.disable(logging.CRITICAL)
def main()... | 28.403846 | 94 | 0.67434 |
import logging
import sys
from ryu.controller import dpset
from faucet import faucet
from faucet import faucet_experimental_api
import afl
import fake_packet
ROUNDS = 1
logging.disable(logging.CRITICAL)
def main():
application = faucet.Faucet(
dpset=dpset.DPSet(),
faucet_experimental_api=fauce... | true | true |
79039ba82b11c0fad27e6581ec8013ba61682966 | 1,949 | py | Python | mlrose/runners/ga_runner.py | tadmorgan/mlrose | 846408b74f999f122156d4724067a003ea68ea47 | [
"BSD-3-Clause"
] | null | null | null | mlrose/runners/ga_runner.py | tadmorgan/mlrose | 846408b74f999f122156d4724067a003ea68ea47 | [
"BSD-3-Clause"
] | null | null | null | mlrose/runners/ga_runner.py | tadmorgan/mlrose | 846408b74f999f122156d4724067a003ea68ea47 | [
"BSD-3-Clause"
] | null | null | null | import mlrose
from mlrose.algorithms.decorators import short_name
from mlrose.runners._runner_base import _RunnerBase
"""
Example usage:
experiment_name = 'example_experiment'
problem = TSPGenerator.generate(seed=SEED, number_of_cities=22)
ga = GARunner(problem=problem,
experiment_name=... | 40.604167 | 118 | 0.623397 | import mlrose
from mlrose.algorithms.decorators import short_name
from mlrose.runners._runner_base import _RunnerBase
@short_name('ga')
class GARunner(_RunnerBase):
def __init__(self, problem, experiment_name, seed, iteration_list, population_sizes, mutation_rates,
hamming_factors=None, hamming... | true | true |
79039be9565aafec6aba170a6f41d7a79040022f | 606 | py | Python | app/config.py | bortels/awsfed | fea126c63501e5138579efd6127f7ff0550520b2 | [
"MIT"
] | 2 | 2019-09-25T21:34:21.000Z | 2019-09-26T20:49:14.000Z | app/config.py | bortels/awsfed | fea126c63501e5138579efd6127f7ff0550520b2 | [
"MIT"
] | null | null | null | app/config.py | bortels/awsfed | fea126c63501e5138579efd6127f7ff0550520b2 | [
"MIT"
] | null | null | null | # You should modify this for your own use.
# In particular, set the FQDN to your domain name, and
# pick and set a secure SECRET_KEY. If you are going
# to run HA, you will want to modify the SQLALCHEMY
# variables to point to your shared server rather than
# SQLite3.
import os
ENV = os.environ.get("ENV", "dev")
SECR... | 30.3 | 54 | 0.745875 |
import os
ENV = os.environ.get("ENV", "dev")
SECRET_KEY = 'top-secret'
SQLALCHEMY_DATABASE_URI = 'sqlite:///db.sqlite'
SQLALCHEMY_TRACK_MODIFICATIONS = False
PERMANENT_SESSION_LIFETIME = 60 * 60 * 20
BOOTSTRAP_CDN_FORCE_SSL = True
BOOTSTRAP_SERVE_LOCAL = True
SCHEME = "https"
FQDN = f'fed-{ENV}.bortels.us'
URL ... | true | true |
79039bfa8caf37ad741b73dddbeb2b6259b56725 | 59,694 | py | Python | tools/swarming_client/tests/swarming_test.py | zipated/src | 2b8388091c71e442910a21ada3d97ae8bc1845d3 | [
"BSD-3-Clause"
] | 2,151 | 2020-04-18T07:31:17.000Z | 2022-03-31T08:39:18.000Z | tools/swarming_client/tests/swarming_test.py | cangulcan/src | 2b8388091c71e442910a21ada3d97ae8bc1845d3 | [
"BSD-3-Clause"
] | 395 | 2020-04-18T08:22:18.000Z | 2021-12-08T13:04:49.000Z | tools/swarming_client/tests/swarming_test.py | cangulcan/src | 2b8388091c71e442910a21ada3d97ae8bc1845d3 | [
"BSD-3-Clause"
] | 338 | 2020-04-18T08:03:10.000Z | 2022-03-29T12:33:22.000Z | #!/usr/bin/env python
# Copyright 2013 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
import datetime
import json
import logging
import os
import re
import StringIO
import sys
import tempfile
import threading
i... | 31.401368 | 80 | 0.526184 |
import datetime
import json
import logging
import os
import re
import StringIO
import sys
import tempfile
import threading
import time
import traceback
import unittest
import net_utils
from depot_tools import auto_stub
import auth
import isolateserver
import swarming
import test_utils
from depot_tools import ... | false | true |
79039cb2feeca0a0e1fb76501a8e9fce7881ea24 | 2,081 | py | Python | SLpackage/private/thirdparty/pythonpkgs/networkx/networkx_2.2/lib/python2.7/site-packages/networkx/algorithms/tests/test_smallworld.py | fanglab/6mASCOPE | 3f1fdcb7693ff152f17623ce549526ec272698b1 | [
"BSD-3-Clause"
] | 5 | 2022-02-20T07:10:02.000Z | 2022-03-18T17:47:53.000Z | SLpackage/private/thirdparty/pythonpkgs/networkx/networkx_2.2/lib/python2.7/site-packages/networkx/algorithms/tests/test_smallworld.py | fanglab/6mASCOPE | 3f1fdcb7693ff152f17623ce549526ec272698b1 | [
"BSD-3-Clause"
] | null | null | null | SLpackage/private/thirdparty/pythonpkgs/networkx/networkx_2.2/lib/python2.7/site-packages/networkx/algorithms/tests/test_smallworld.py | fanglab/6mASCOPE | 3f1fdcb7693ff152f17623ce549526ec272698b1 | [
"BSD-3-Clause"
] | null | null | null | #! python
from nose.tools import assert_true, assert_raises
import random
from networkx import random_reference, lattice_reference, sigma, omega
import networkx as nx
rng = random.Random(0)
rng = 42
def test_random_reference():
G = nx.connected_watts_strogatz_graph(50, 6, 0.1, seed=rng)
Gr = random_referenc... | 31.059701 | 77 | 0.694858 |
from nose.tools import assert_true, assert_raises
import random
from networkx import random_reference, lattice_reference, sigma, omega
import networkx as nx
rng = random.Random(0)
rng = 42
def test_random_reference():
G = nx.connected_watts_strogatz_graph(50, 6, 0.1, seed=rng)
Gr = random_reference(G, nite... | true | true |
79039d0db6195b8931e14d299f608211801c6d3f | 3,854 | py | Python | examples/hacker_news/hacker_news/resources/dbt_asset_resource.py | dbatten5/dagster | d76e50295054ffe5a72f9b292ef57febae499528 | [
"Apache-2.0"
] | 4,606 | 2018-06-21T17:45:20.000Z | 2022-03-31T23:39:42.000Z | examples/hacker_news/hacker_news/resources/dbt_asset_resource.py | dbatten5/dagster | d76e50295054ffe5a72f9b292ef57febae499528 | [
"Apache-2.0"
] | 6,221 | 2018-06-12T04:36:01.000Z | 2022-03-31T21:43:05.000Z | examples/hacker_news/hacker_news/resources/dbt_asset_resource.py | dbatten5/dagster | d76e50295054ffe5a72f9b292ef57febae499528 | [
"Apache-2.0"
] | 619 | 2018-08-22T22:43:09.000Z | 2022-03-31T22:48:06.000Z | from typing import Any, Dict, List
import pandas
from dagster import AssetKey, AssetMaterialization, EventMetadataEntry
from dagster_dbt import DbtOutput
from .snowflake_io_manager import connect_snowflake
class DbtAssetResource:
"""
This class defines a resource that is capable of producing a list of Asset... | 43.795455 | 100 | 0.674364 | from typing import Any, Dict, List
import pandas
from dagster import AssetKey, AssetMaterialization, EventMetadataEntry
from dagster_dbt import DbtOutput
from .snowflake_io_manager import connect_snowflake
class DbtAssetResource:
def __init__(self, asset_key_prefix: List[str]):
self._asset_key_prefix =... | true | true |
79039d748c17ab53e358119bb76c8822a33ac1f2 | 1,584 | py | Python | data/cirq_new/cirq_program/startCirq_Class18.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/cirq_new/cirq_program/startCirq_Class18.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | data/cirq_new/cirq_program/startCirq_Class18.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=4
# total number=8
import cirq
import cirq.google as cg
from typing import Optional
import sys
from math import log2
import numpy as np
#thatsNoCode
def make_circuit(n: int, input_qubit):
c = cirq.Cir... | 26.4 | 80 | 0.667298 |
import cirq
import cirq.google as cg
from typing import Optional
import sys
from math import log2
import numpy as np
def make_circuit(n: int, input_qubit):
c = cirq.Circuit()
c.append(cirq.H.on(input_qubit[0]))
c.append(cirq.H.on(input_qubit[1]))
c.append(cirq.rx(1.6147786239451536).on(i... | true | true |
79039e4abe6ff5a91f1f37e906b3a02ab82b7e8c | 11,782 | py | Python | tests/test_docs.py | tabulon-ext/moban | dcb3d9751949247b657aa5423280cf1183bb0a26 | [
"MIT"
] | 32 | 2017-12-03T00:13:15.000Z | 2022-02-28T15:20:43.000Z | tests/test_docs.py | tabulon-ext/moban | dcb3d9751949247b657aa5423280cf1183bb0a26 | [
"MIT"
] | 353 | 2017-07-05T18:36:51.000Z | 2020-09-24T13:42:03.000Z | tests/test_docs.py | tabulon-ext/moban | dcb3d9751949247b657aa5423280cf1183bb0a26 | [
"MIT"
] | 23 | 2018-01-08T09:23:01.000Z | 2021-12-23T07:21:21.000Z | import os
import fs
from .utils import Docs, custom_dedent
class TestTutorial(Docs):
def test_level_1(self):
expected = "world"
folder = "level-1-jinja2-cli"
self._moban(folder, expected)
def test_level_1_custom_define(self):
expected = "maailman"
folder = "level-1-j... | 29.903553 | 81 | 0.534035 | import os
import fs
from .utils import Docs, custom_dedent
class TestTutorial(Docs):
def test_level_1(self):
expected = "world"
folder = "level-1-jinja2-cli"
self._moban(folder, expected)
def test_level_1_custom_define(self):
expected = "maailman"
folder = "level-1-j... | true | true |
79039e4ce5caf5ffbea541e6b08a5b24e139ff01 | 6,616 | py | Python | stock-filters/NeoCortex.py | Sebastianchr22/Minecraft-Settlement-Generation | 5c902595b47c3c75c96485b29c4e76a07470a431 | [
"0BSD"
] | null | null | null | stock-filters/NeoCortex.py | Sebastianchr22/Minecraft-Settlement-Generation | 5c902595b47c3c75c96485b29c4e76a07470a431 | [
"0BSD"
] | null | null | null | stock-filters/NeoCortex.py | Sebastianchr22/Minecraft-Settlement-Generation | 5c902595b47c3c75c96485b29c4e76a07470a431 | [
"0BSD"
] | null | null | null | from math import sqrt
from PrefrontalCortex import Impulse
from Decisions import Decisions
from Decision import Decision
import random as rand
# The job of the Neo-cortex is to evaluate, think, and consider.
# It is a slow brain part, but a highly important one, it's job is to perform tasks for the prefrontal cortex ... | 37.378531 | 130 | 0.587666 | from math import sqrt
from PrefrontalCortex import Impulse
from Decisions import Decisions
from Decision import Decision
import random as rand
# While finding the optimal ways to do those tasks.
class NeoCortex:
def __init__(self, settler, world_grid):
self.settler = settler
self.decision... | false | true |
79039f4935ee01b3c9deb96a41fee01735c61ec5 | 278 | py | Python | homonym.py | Biatris/Homonym | 5fd4f295f2454e9a314ad271b05edbcad0dc7c8c | [
"MIT"
] | null | null | null | homonym.py | Biatris/Homonym | 5fd4f295f2454e9a314ad271b05edbcad0dc7c8c | [
"MIT"
] | null | null | null | homonym.py | Biatris/Homonym | 5fd4f295f2454e9a314ad271b05edbcad0dc7c8c | [
"MIT"
] | null | null | null |
class HomonymException(Exception):
def _init_ (self, *args):
super()._init_(args)
class Homonym():
def __init__(self):
pass
def CreateModel(self):
pass
def SgdScore(self, rounds):
pass
def FindErrors(self):
pass
| 14.631579 | 34 | 0.579137 |
class HomonymException(Exception):
def _init_ (self, *args):
super()._init_(args)
class Homonym():
def __init__(self):
pass
def CreateModel(self):
pass
def SgdScore(self, rounds):
pass
def FindErrors(self):
pass
| true | true |
79039fe4d32b0ecf731cccf14a7b40da4ba42599 | 58,533 | py | Python | src/transformers/models/convbert/modeling_tf_convbert.py | kct22aws/transformers | 04cddaf402591e9f5bdb5f116a111d829a0ce4f4 | [
"Apache-2.0"
] | 5 | 2020-10-30T13:07:02.000Z | 2021-03-17T12:18:30.000Z | src/transformers/models/convbert/modeling_tf_convbert.py | guang7400613/transformers | 28e091430eea9e0d40839e56fd0d57aec262f5f9 | [
"Apache-2.0"
] | 1 | 2022-01-17T03:24:35.000Z | 2022-01-17T03:24:35.000Z | src/transformers/models/convbert/modeling_tf_convbert.py | guang7400613/transformers | 28e091430eea9e0d40839e56fd0d57aec262f5f9 | [
"Apache-2.0"
] | 1 | 2022-02-08T19:37:39.000Z | 2022-02-08T19:37:39.000Z | # coding=utf-8
# Copyright 2021 The HuggingFace Inc. team. 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 r... | 40.59154 | 132 | 0.663164 |
import tensorflow as tf
from ...activations_tf import get_tf_activation
from ...file_utils import (
MULTIPLE_CHOICE_DUMMY_INPUTS,
add_code_sample_docstrings,
add_start_docstrings,
add_start_docstrings_to_model_forward,
)
from ...modeling_tf_outputs import (
TFBaseModelOutput,
TF... | true | true |
7903a053ea8b41b764eacc2341c116e970412aac | 5,043 | py | Python | tests/cli/commands/test_plugins_command.py | npodewitz/airflow | 511ea702d5f732582d018dad79754b54d5e53f9d | [
"Apache-2.0"
] | 8,092 | 2016-04-27T20:32:29.000Z | 2019-01-05T07:39:33.000Z | tests/cli/commands/test_plugins_command.py | npodewitz/airflow | 511ea702d5f732582d018dad79754b54d5e53f9d | [
"Apache-2.0"
] | 2,961 | 2016-05-05T07:16:16.000Z | 2019-01-05T08:47:59.000Z | tests/cli/commands/test_plugins_command.py | npodewitz/airflow | 511ea702d5f732582d018dad79754b54d5e53f9d | [
"Apache-2.0"
] | 3,546 | 2016-05-04T20:33:16.000Z | 2019-01-05T05:14:26.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 41.677686 | 110 | 0.614515 |
import io
import json
import textwrap
import unittest
from contextlib import redirect_stdout
from airflow.cli import cli_parser
from airflow.cli.commands import plugins_command
from airflow.hooks.base import BaseHook
from airflow.listeners.listener import get_listener_manager
from airflow.plugins_mana... | true | true |
7903a066a37362e1d8bae1b7251ccd6490045f0b | 1,399 | py | Python | bot/handlers/packs/list.py | Bixshadow1/sticker-thief | bda28b2f28ed65e35ac62c165c2517412b5f6f8f | [
"MIT"
] | 44 | 2018-10-30T14:47:14.000Z | 2022-03-26T15:17:52.000Z | bot/handlers/packs/list.py | Bixshadow1/sticker-thief | bda28b2f28ed65e35ac62c165c2517412b5f6f8f | [
"MIT"
] | 37 | 2018-11-09T11:51:15.000Z | 2021-12-27T15:08:48.000Z | bot/handlers/packs/list.py | Bixshadow1/sticker-thief | bda28b2f28ed65e35ac62c165c2517412b5f6f8f | [
"MIT"
] | 38 | 2019-03-27T21:12:23.000Z | 2022-01-08T07:57:39.000Z | import logging
# noinspection PyPackageRequirements
from telegram.ext import CommandHandler, ConversationHandler
# noinspection PyPackageRequirements
from telegram import ChatAction, Update
from bot import stickersbot
from bot.utils import decorators
from bot.utils import utils
from bot.database.base import session_s... | 34.975 | 150 | 0.754825 | import logging
from telegram.ext import CommandHandler, ConversationHandler
from telegram import ChatAction, Update
from bot import stickersbot
from bot.utils import decorators
from bot.utils import utils
from bot.database.base import session_scope
from bot.database.models.pack import Pack
from bot.strings import S... | true | true |
7903a0d0a7d350892d692d86b8bbd1dc00694d86 | 257 | py | Python | settings/__init__.py | ppold/lambtastic | 29d96f0f111a950a6ecd7af1cdc172addd64de04 | [
"Unlicense"
] | null | null | null | settings/__init__.py | ppold/lambtastic | 29d96f0f111a950a6ecd7af1cdc172addd64de04 | [
"Unlicense"
] | 1 | 2021-06-01T21:53:04.000Z | 2021-06-01T21:53:04.000Z | settings/__init__.py | ppold/lambtastic | 29d96f0f111a950a6ecd7af1cdc172addd64de04 | [
"Unlicense"
] | null | null | null | """ core app configuration """
import os
environment = os.getenv('LAMBTASTIC_ENV', 'development')
if environment == 'testing':
from .testing import *
elif environment == 'production':
from .production import *
else:
from .development import *
| 21.416667 | 56 | 0.696498 | import os
environment = os.getenv('LAMBTASTIC_ENV', 'development')
if environment == 'testing':
from .testing import *
elif environment == 'production':
from .production import *
else:
from .development import *
| true | true |
7903a182889892983f3e0a32fa7fa89dda9d112b | 1,291 | py | Python | examples/plot_obstacle_avoidance_2d.py | maotto/movement_primitives | b79c78a5a0667cc24a26b7b6cc64a5762d8f4dd4 | [
"BSD-3-Clause"
] | 17 | 2021-11-17T15:36:16.000Z | 2022-03-26T08:49:25.000Z | examples/plot_obstacle_avoidance_2d.py | DavidYaonanZhu/movement_primitives | ce355837f06cb5fada24be7259cb0305e8ea5d91 | [
"BSD-3-Clause"
] | 9 | 2021-12-01T10:33:04.000Z | 2022-03-23T12:41:39.000Z | examples/plot_obstacle_avoidance_2d.py | DavidYaonanZhu/movement_primitives | ce355837f06cb5fada24be7259cb0305e8ea5d91 | [
"BSD-3-Clause"
] | 8 | 2021-11-25T03:53:40.000Z | 2022-03-31T03:19:25.000Z | """
========================
Obstacle Avoidance in 2D
========================
Plots a 2D DMP that goes through a point obstacle when there is no coupling
term for obstacle avoidance and a 2D DMP that avoids the point obstacle with
a coupling term.
"""
print(__doc__)
import matplotlib.pyplot as plt
import numpy as n... | 30.738095 | 79 | 0.711077 | print(__doc__)
import matplotlib.pyplot as plt
import numpy as np
from movement_primitives.dmp import DMP, CouplingTermObstacleAvoidance2D
execution_time = 1.0
start_y = np.zeros(2)
goal_y = np.ones(2)
dmp = DMP(n_dims=2, execution_time=execution_time, n_weights_per_dim=3)
dmp.configure(start_y=start_y, goal_y=goa... | true | true |
7903a2b3166c68ad45b0be16d923c6908edcc39f | 3,730 | py | Python | exp_main.py | dongzhiming/cgp-cnn-PyTorch | be9d3ee63741ef59bac7cf3c905833d747267207 | [
"MIT"
] | null | null | null | exp_main.py | dongzhiming/cgp-cnn-PyTorch | be9d3ee63741ef59bac7cf3c905833d747267207 | [
"MIT"
] | null | null | null | exp_main.py | dongzhiming/cgp-cnn-PyTorch | be9d3ee63741ef59bac7cf3c905833d747267207 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import pickle
import pandas as pd
from cgp import *
from cgp_config import *
from cnn_train import CNN_train
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Evolving CAE structures')
parser.add_argument('--gpu_num', '-g',... | 49.078947 | 194 | 0.657105 |
import argparse
import pickle
import pandas as pd
from cgp import *
from cgp_config import *
from cnn_train import CNN_train
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Evolving CAE structures')
parser.add_argument('--gpu_num', '-g', type=int, default=1, help='Num. of GPUs')
... | true | true |
7903a33e3a53df70eddcd8b57369e1f35cdec02f | 3,836 | py | Python | tftrt/examples/object_detection/test.py | npanpaliya/tensorrt | 74bbdaad7c0fa0a559cb98b8ba0f98059aca3329 | [
"Apache-2.0"
] | 1 | 2019-10-10T06:05:13.000Z | 2019-10-10T06:05:13.000Z | tftrt/examples/object_detection/test.py | npanpaliya/tensorrt | 74bbdaad7c0fa0a559cb98b8ba0f98059aca3329 | [
"Apache-2.0"
] | null | null | null | tftrt/examples/object_detection/test.py | npanpaliya/tensorrt | 74bbdaad7c0fa0a559cb98b8ba0f98059aca3329 | [
"Apache-2.0"
] | 1 | 2019-10-10T06:05:15.000Z | 2019-10-10T06:05:15.000Z | # Copyright (c) 2018, NVIDIA CORPORATION. All rights reserved.
#
# Copyright 2018 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://w... | 36.188679 | 92 | 0.67049 |
import argparse
import json
from .object_detection import build_model, download_dataset, optimize_model, benchmark_model
def test(test_config_path):
with open(args.test_config_path, 'r') as f:
test_config = json.load(f)
print(json.dumps(test_config, sort_keys=True, indent=4))
... | true | true |
7903a3d3edd3e1433d6a5728a3155b0ca2d1b362 | 2,852 | py | Python | oxlos/migrations/0001_initial.py | jtauber/oxlos2 | 5122a3d6407e233c0b4b0c001d66ef7c1fefd0d2 | [
"MIT"
] | 1 | 2017-11-26T03:41:02.000Z | 2017-11-26T03:41:02.000Z | oxlos/migrations/0001_initial.py | jtauber/oxlos2 | 5122a3d6407e233c0b4b0c001d66ef7c1fefd0d2 | [
"MIT"
] | null | null | null | oxlos/migrations/0001_initial.py | jtauber/oxlos2 | 5122a3d6407e233c0b4b0c001d66ef7c1fefd0d2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-04-15 06:13
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import jsonfield.fields
class Migration(migrations.Migration):
in... | 41.941176 | 134 | 0.596073 |
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
import jsonfield.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
('pinax_teams', '0002_add_... | true | true |
7903a3e213f7a0608dcf8761336c290a8584de29 | 578 | py | Python | app/application.py | ihor-nahuliak/task-23-jul-2019 | f32d3ef1df985f77998b5d296b524af99f82c3ef | [
"MIT"
] | null | null | null | app/application.py | ihor-nahuliak/task-23-jul-2019 | f32d3ef1df985f77998b5d296b524af99f82c3ef | [
"MIT"
] | null | null | null | app/application.py | ihor-nahuliak/task-23-jul-2019 | f32d3ef1df985f77998b5d296b524af99f82c3ef | [
"MIT"
] | null | null | null | import uvloop
import asyncio
import jinja2
import aiohttp_jinja2
from aiohttp import web
from quicksets import settings
from app.middlewares import middlewares
from app.views import routes
async def create_app():
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
app = web.Application(middlewares=middle... | 24.083333 | 69 | 0.769896 | import uvloop
import asyncio
import jinja2
import aiohttp_jinja2
from aiohttp import web
from quicksets import settings
from app.middlewares import middlewares
from app.views import routes
async def create_app():
asyncio.set_event_loop_policy(uvloop.EventLoopPolicy())
app = web.Application(middlewares=middle... | true | true |
7903a427a62687795f2f212998a785a69152972f | 962 | py | Python | try.py | peterzheng98/Valentine-Gift | d4212c2e648682ccb173dfa39a0873fc0ad2b9c3 | [
"MIT"
] | 2 | 2020-04-09T07:29:06.000Z | 2020-10-04T02:19:21.000Z | try.py | peterzheng98/Valentine-Gift | d4212c2e648682ccb173dfa39a0873fc0ad2b9c3 | [
"MIT"
] | null | null | null | try.py | peterzheng98/Valentine-Gift | d4212c2e648682ccb173dfa39a0873fc0ad2b9c3 | [
"MIT"
] | null | null | null | """
ECB没有偏移量
"""
from Crypto.Cipher import AES
from binascii import b2a_hex, a2b_hex
from utils import DES_decrypt, DES_encrypt
def add_to_16(text):
if len(text.encode('utf-8')) % 16:
add = 16 - (len(text.encode('utf-8')) % 16)
else:
add = 0
text = text + ('\0' * add)
return text.encode... | 22.904762 | 51 | 0.626819 | from Crypto.Cipher import AES
from binascii import b2a_hex, a2b_hex
from utils import DES_decrypt, DES_encrypt
def add_to_16(text):
if len(text.encode('utf-8')) % 16:
add = 16 - (len(text.encode('utf-8')) % 16)
else:
add = 0
text = text + ('\0' * add)
return text.encode('utf-8')
def ... | true | true |
7903a4f1c2fc12303c69a76acfe1a1e034df61a3 | 4,943 | py | Python | esp_sdk/models/role.py | zimmermanc/esp-sdk-python | cdef13c0dc6c3996b6c444160c71b2f1e3910c97 | [
"MIT"
] | 6 | 2017-06-05T20:37:19.000Z | 2019-04-10T08:43:59.000Z | esp_sdk/models/role.py | zimmermanc/esp-sdk-python | cdef13c0dc6c3996b6c444160c71b2f1e3910c97 | [
"MIT"
] | 18 | 2016-06-22T16:14:33.000Z | 2018-10-29T21:53:15.000Z | esp_sdk/models/role.py | zimmermanc/esp-sdk-python | cdef13c0dc6c3996b6c444160c71b2f1e3910c97 | [
"MIT"
] | 18 | 2016-07-27T19:20:01.000Z | 2020-11-17T02:09:58.000Z | # coding: utf-8
"""
ESP Documentation
The Evident Security Platform API (version 2.0) is designed to allow users granular control over their Amazon Web Service security experience by allowing them to review alerts, monitor signatures, and create custom signatures.
OpenAPI spec version: v2_sdk
Ge... | 25.091371 | 230 | 0.539146 |
from pprint import pformat
from six import iteritems
from ..extensions.base_object import BaseObject
import re
class Role(BaseObject):
def __init__(self, id=None, name=None, created_at=None, updated_at=None):
self.swagger_types = {
'id': 'int',
'name': 'str',
'creat... | true | true |
7903a6300ecfd9746ee2562acb15c2944a87f353 | 25,065 | py | Python | scanpy/_utils.py | jwrth/scanpy | 9fa01020d1f0712166b3591e67d0c766c765eca0 | [
"BSD-3-Clause"
] | null | null | null | scanpy/_utils.py | jwrth/scanpy | 9fa01020d1f0712166b3591e67d0c766c765eca0 | [
"BSD-3-Clause"
] | null | null | null | scanpy/_utils.py | jwrth/scanpy | 9fa01020d1f0712166b3591e67d0c766c765eca0 | [
"BSD-3-Clause"
] | null | null | null | """Utility functions and classes
"""
import sys
import inspect
import warnings
import importlib.util
from enum import Enum
from pathlib import Path
from weakref import WeakSet
from collections import namedtuple
from functools import partial, wraps
from types import ModuleType, MethodType
from typing import Union, Calla... | 32.636719 | 105 | 0.596848 | import sys
import inspect
import warnings
import importlib.util
from enum import Enum
from pathlib import Path
from weakref import WeakSet
from collections import namedtuple
from functools import partial, wraps
from types import ModuleType, MethodType
from typing import Union, Callable, Optional, Mapping, Any, Dict, Tu... | true | true |
7903a6723125475069758ef729d05f17c07e573c | 19,928 | py | Python | roundoff.py | garrettkatz/rnn-fxpts | 0e4ea0fe89c51764f000610957d0382917fe227c | [
"MIT"
] | 2 | 2019-11-19T07:40:44.000Z | 2021-11-13T09:55:07.000Z | roundoff.py | garrettkatz/rnn-fxpts | 0e4ea0fe89c51764f000610957d0382917fe227c | [
"MIT"
] | 1 | 2016-12-09T18:04:08.000Z | 2016-12-09T18:04:19.000Z | roundoff.py | garrettkatz/rnn-fxpts | 0e4ea0fe89c51764f000610957d0382917fe227c | [
"MIT"
] | 2 | 2017-07-21T01:19:10.000Z | 2019-06-26T05:37:05.000Z | """
Methods for assessing treatment of finite-precision issues
"""
import os
import sys
import time
import multiprocessing as mp
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.markers as mrk
import plotter as ptr
import rnn_fxpts as rfx
import fxpt_experiments as fe
import... | 44.088496 | 163 | 0.616118 | import os
import sys
import time
import multiprocessing as mp
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.markers as mrk
import plotter as ptr
import rnn_fxpts as rfx
import fxpt_experiments as fe
import pickle as pkl
def get_relative_errors(test_data_id):
network_... | true | true |
7903a8fb9ca76323128827464afde2bac737afe6 | 1,384 | py | Python | package/diana/utils/dicom/strings.py | thomasyi17/diana2 | 2167053dfe15b782d96cb1e695047433f302d4dd | [
"MIT"
] | 15 | 2019-02-12T23:26:09.000Z | 2021-12-21T08:53:58.000Z | package/diana/utils/dicom/strings.py | thomasyi17/diana2 | 2167053dfe15b782d96cb1e695047433f302d4dd | [
"MIT"
] | 2 | 2019-01-23T21:13:12.000Z | 2019-06-28T15:45:51.000Z | package/diana/utils/dicom/strings.py | thomasyi17/diana2 | 2167053dfe15b782d96cb1e695047433f302d4dd | [
"MIT"
] | 6 | 2019-01-23T20:22:50.000Z | 2022-02-03T03:27:04.000Z | import logging
from datetime import datetime
from dateutil import parser as DatetimeParser
def dicom_name(names: list) -> str:
s = "^".join(names).upper()
return s
def dicom_date(dt: datetime) -> str:
s = dt.strftime("%Y%m%d")
return s
def dicom_time(dt: datetime) -> str:
s = dt.strftime("%H%M... | 20.969697 | 64 | 0.604769 | import logging
from datetime import datetime
from dateutil import parser as DatetimeParser
def dicom_name(names: list) -> str:
s = "^".join(names).upper()
return s
def dicom_date(dt: datetime) -> str:
s = dt.strftime("%Y%m%d")
return s
def dicom_time(dt: datetime) -> str:
s = dt.strftime("%H%M... | true | true |
7903a974548bdce76744db90cef9c70bcc677625 | 489 | py | Python | python/daisyHat/Tools.py | recursinging/daisyHat | 94a3a2f8da13ee4df372027058f2741c84493a0e | [
"MIT"
] | null | null | null | python/daisyHat/Tools.py | recursinging/daisyHat | 94a3a2f8da13ee4df372027058f2741c84493a0e | [
"MIT"
] | null | null | null | python/daisyHat/Tools.py | recursinging/daisyHat | 94a3a2f8da13ee4df372027058f2741c84493a0e | [
"MIT"
] | null | null | null |
def printBigHeadline(text):
print("")
print("#######################################################################")
print(text)
print("#######################################################################")
print("")
def printSmallHeadline(text):
print("")
print("--------------------... | 30.5625 | 84 | 0.216769 |
def printBigHeadline(text):
print("")
print("#######################################################################")
print(text)
print("#######################################################################")
print("")
def printSmallHeadline(text):
print("")
print("--------------------... | true | true |
7903a97e804c4a39716d89d35ecf9953e1065a81 | 1,812 | py | Python | tests/SearchTest.py | cuongbm/microblog | 16b47b11b1f2b2877462c86873eb435beb10b545 | [
"MIT"
] | null | null | null | tests/SearchTest.py | cuongbm/microblog | 16b47b11b1f2b2877462c86873eb435beb10b545 | [
"MIT"
] | null | null | null | tests/SearchTest.py | cuongbm/microblog | 16b47b11b1f2b2877462c86873eb435beb10b545 | [
"MIT"
] | null | null | null | import datetime
from datetime import datetime, timedelta
from time import sleep
from app.search import add_to_index, delete_index, create_index, query_index
from app import db
from app.models import Post, User
from tests.BaseDbTest import BaseDbTest
class SearchTest(BaseDbTest):
index_name = "test_index"
d... | 32.357143 | 76 | 0.640177 | import datetime
from datetime import datetime, timedelta
from time import sleep
from app.search import add_to_index, delete_index, create_index, query_index
from app import db
from app.models import Post, User
from tests.BaseDbTest import BaseDbTest
class SearchTest(BaseDbTest):
index_name = "test_index"
d... | true | true |
7903aa2f3529e574a160e845cf50e4d4ec2f563c | 265 | py | Python | el_galleria/urls.py | kennjr/mi-galleria | 3103873e4cfcd2f1c6389362bd6de3bf08f7cf24 | [
"MIT"
] | null | null | null | el_galleria/urls.py | kennjr/mi-galleria | 3103873e4cfcd2f1c6389362bd6de3bf08f7cf24 | [
"MIT"
] | null | null | null | el_galleria/urls.py | kennjr/mi-galleria | 3103873e4cfcd2f1c6389362bd6de3bf08f7cf24 | [
"MIT"
] | null | null | null | from django.urls import path
from el_galleria import views
urlpatterns = [
path('', views.index, name="home"),
path('category/<str:selected_category>/', views.category, name="category"),
path('search/<str:search_str>/', views.search, name="search")
] | 26.5 | 79 | 0.69434 | from django.urls import path
from el_galleria import views
urlpatterns = [
path('', views.index, name="home"),
path('category/<str:selected_category>/', views.category, name="category"),
path('search/<str:search_str>/', views.search, name="search")
] | true | true |
7903aa4fefc0d2e42140065c21a984ee0e62943c | 7,222 | py | Python | encode.py | deut-erium/BASEic-steganography | 370291442423f866ba5c4976d5e8766ae2d249ba | [
"MIT"
] | 1 | 2020-08-26T03:52:18.000Z | 2020-08-26T03:52:18.000Z | encode.py | deut-erium/BASEic-steganography | 370291442423f866ba5c4976d5e8766ae2d249ba | [
"MIT"
] | null | null | null | encode.py | deut-erium/BASEic-steganography | 370291442423f866ba5c4976d5e8766ae2d249ba | [
"MIT"
] | null | null | null | """inter-base steganography
producing base32 and base64 decodable strings"""
from base64 import b64encode, b64decode
import string
from itertools import product
from argparse import ArgumentParser
CHARSET = string.printable.encode()
B32_CHARSET = (string.ascii_uppercase + '234567').encode()
B64_CHARSET = (
string.... | 33.747664 | 82 | 0.542924 | from base64 import b64encode, b64decode
import string
from itertools import product
from argparse import ArgumentParser
CHARSET = string.printable.encode()
B32_CHARSET = (string.ascii_uppercase + '234567').encode()
B64_CHARSET = (
string.ascii_lowercase +
string.ascii_uppercase +
string.digits +
'+/').... | true | true |
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