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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
90a28856cd405554c342c82c85972e08614b06b1 | 235 | py | Python | exercicios_basico/ex031.py | montalvas/python | 483c2097f6f91bfae127dafcb63e3006eeecad1d | [
"MIT"
] | null | null | null | exercicios_basico/ex031.py | montalvas/python | 483c2097f6f91bfae127dafcb63e3006eeecad1d | [
"MIT"
] | null | null | null | exercicios_basico/ex031.py | montalvas/python | 483c2097f6f91bfae127dafcb63e3006eeecad1d | [
"MIT"
] | null | null | null | # Leia a distancia da viagem e calcule o valor da passagem
d = float(input('Informe a distncia da sua viagem: '))
if d <= 200:
p = d * 0.5
else:
p = d * 0.45
print('Para uma viagem de {}, voc pagar R$ {:.2f}'.format(d, p))
| 26.111111 | 66 | 0.617021 | # Leia a distancia da viagem e calcule o valor da passagem
d = float(input('Informe a distância da sua viagem: '))
if d <= 200:
p = d * 0.5
else:
p = d * 0.45
print('Para uma viagem de {}, você pagará R$ {:.2f}'.format(d, p))
| 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
40c65e5f8ced90a996ab54a4df74d1774a76b8a6 | 3,455 | py | Python | tests/ut/python/train/summary/test_summary_abnormal_input.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | 1 | 2020-05-13T11:31:21.000Z | 2020-05-13T11:31:21.000Z | tests/ut/python/train/summary/test_summary_abnormal_input.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | null | null | null | tests/ut/python/train/summary/test_summary_abnormal_input.py | doc22940/mindspore | 21bcdcd8adb97b9171b2822a7ed2c4c138c99607 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 26.782946 | 78 | 0.690304 | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 0 | 0 | 0 | 0 | 0 | 1,715 | 0 | 43 | 159 |
59ffaa9c898e6572833a239893975e0326d5b07f | 2,752 | py | Python | tccli/main.py | tencentcloudapi-test/tencentcloud-cli | da9733765df2b405b83b7acff48256f31e053ab1 | [
"Apache-2.0"
] | null | null | null | tccli/main.py | tencentcloudapi-test/tencentcloud-cli | da9733765df2b405b83b7acff48256f31e053ab1 | [
"Apache-2.0"
] | null | null | null | tccli/main.py | tencentcloudapi-test/tencentcloud-cli | da9733765df2b405b83b7acff48256f31e053ab1 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import _locale
_locale._getdefaultlocale = (lambda *args: ['zh_CN', 'utf8'])
import io
import sys
from tccli.log import init
try:
reload(sys) # Python 2.7
sys.setdefaultencoding('utf8')
except NameError:
try:
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-... | 29.276596 | 119 | 0.623183 | # -*- coding: utf-8 -*-
import _locale
_locale._getdefaultlocale = (lambda *args: ['zh_CN', 'utf8'])
import io
import os
import sys
import six
import signal
from tccli.log import init
from tencentcloud.common.exception.tencent_cloud_sdk_exception import TencentCloudSDKException
try:
reload(sys) # Python 2.7
... | 0 | 0 | 0 | 0 | 0 | 1,770 | 0 | 202 | 221 |
692835eb29be0beda0d5ed2785598cce849598f5 | 185 | py | Python | tmp/ve_asus-rt-n14uhp-mrtg/bin/django-admin.py | jasonwee/asus-rt-n14uhp-mrtg | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | [
"Apache-2.0"
] | 3 | 2018-08-14T09:33:52.000Z | 2022-03-21T12:31:58.000Z | tmp/ve_asus-rt-n14uhp-mrtg/bin/django-admin.py | jasonwee/asus-rt-n14uhp-mrtg | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | [
"Apache-2.0"
] | null | null | null | tmp/ve_asus-rt-n14uhp-mrtg/bin/django-admin.py | jasonwee/asus-rt-n14uhp-mrtg | 4fa96c3406e32ea6631ce447db6d19d70b2cd061 | [
"Apache-2.0"
] | null | null | null | #!/home/jason/oss/asus-rt-n14uhp-mrtg/tmp/ve_asus-rt-n14uhp-mrtg/bin/python3.4
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 30.833333 | 78 | 0.778378 | #!/home/jason/oss/asus-rt-n14uhp-mrtg/tmp/ve_asus-rt-n14uhp-mrtg/bin/python3.4
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
736a2afe3408ac6e2f3ed6cdcb49049f80c12c0c | 3,817 | py | Python | cheesecake/logger.py | griggheo/cheesecake | 2b7aa5c980e8becb163cbcb801b202b17f715054 | [
"CNRI-Python-GPL-Compatible"
] | 12 | 2015-01-15T01:13:42.000Z | 2022-03-04T21:14:27.000Z | cheesecake/logger.py | griggheo/cheesecake | 2b7aa5c980e8becb163cbcb801b202b17f715054 | [
"CNRI-Python-GPL-Compatible"
] | 6 | 2015-01-19T19:46:51.000Z | 2019-02-05T20:20:26.000Z | cheesecake/logger.py | griggheo/cheesecake | 2b7aa5c980e8becb163cbcb801b202b17f715054 | [
"CNRI-Python-GPL-Compatible"
] | 3 | 2015-10-24T20:08:09.000Z | 2019-02-04T20:53:21.000Z | from __future__ import print_function
########################################################
############### PRODUCERS ##############################
########################################################
default = Producer('default')
Producer.keywords2consumer['default'] = default_consumer
###############... | 29.361538 | 75 | 0.566675 | from __future__ import print_function
import sys
import re
########################################################
############### PRODUCERS ##############################
########################################################
class Message(object):
def __init__(self, keywords, args):
self.keywords = ... | 0 | 0 | 0 | 2,401 | 0 | 708 | 0 | -23 | 251 |
f66b03ca2c29ee52f461b6070be899d029ecaa7a | 12,306 | py | Python | coremltools/converters/mil/mil/ops/defs/linear.py | BearerPipelineTest/coremltools | a84609bfae35b2d4e70d9ba3d592a6756df7d197 | [
"BSD-3-Clause"
] | null | null | null | coremltools/converters/mil/mil/ops/defs/linear.py | BearerPipelineTest/coremltools | a84609bfae35b2d4e70d9ba3d592a6756df7d197 | [
"BSD-3-Clause"
] | null | null | null | coremltools/converters/mil/mil/ops/defs/linear.py | BearerPipelineTest/coremltools | a84609bfae35b2d4e70d9ba3d592a6756df7d197 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
| 35.773256 | 121 | 0.562327 | # Copyright (c) 2020, Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can be
# found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
import numpy as np
from coremltools.converters.mil.mil import (
BoolInputType,
DefaultInputs,... | 0 | 11,568 | 0 | 0 | 0 | 0 | 0 | 316 | 202 |
5bfb15ea0f0c61af450cb54b721bc595830090c4 | 4,150 | py | Python | beginning-game-development/Chapter 10/bouncesound.py | CrtomirJuren/pygame-projects | f710f36050bfe3ece866bbda7d570caa1e037d7a | [
"MIT"
] | 43 | 2015-09-20T02:05:48.000Z | 2022-03-01T22:00:43.000Z | beginning-game-development/Chapter 10/bouncesound.py | CrtomirJuren/pygame-projects | f710f36050bfe3ece866bbda7d570caa1e037d7a | [
"MIT"
] | null | null | null | beginning-game-development/Chapter 10/bouncesound.py | CrtomirJuren/pygame-projects | f710f36050bfe3ece866bbda7d570caa1e037d7a | [
"MIT"
] | 40 | 2015-05-19T06:51:13.000Z | 2022-03-27T18:11:16.000Z |
SCREEN_SIZE = (640, 480)
# In pixels per second, per second
GRAVITY = 250.0
# Increase for more bounciness, but don't go over 1!
BOUNCINESS = 0.7
if __name__ == "__main__":
run()
| 25.304878 | 71 | 0.571566 | import pygame
from pygame.locals import *
from random import randint
from gameobjects.vector2 import Vector2
SCREEN_SIZE = (640, 480)
# In pixels per second, per second
GRAVITY = 250.0
# Increase for more bounciness, but don't go over 1!
BOUNCINESS = 0.7
def stero_pan(x_coord, screen_width):
right_volume = floa... | 0 | 0 | 0 | 1,858 | 0 | 1,925 | 0 | 21 | 157 |
451be2132d0d604b8ced8632e8a82a218778aaef | 272 | py | Python | Calendar/celery.py | GaniAliguzhinov/AviataTask | bfcd059b65036332ed3b645b44eff255b0f30205 | [
"MIT"
] | null | null | null | Calendar/celery.py | GaniAliguzhinov/AviataTask | bfcd059b65036332ed3b645b44eff255b0f30205 | [
"MIT"
] | null | null | null | Calendar/celery.py | GaniAliguzhinov/AviataTask | bfcd059b65036332ed3b645b44eff255b0f30205 | [
"MIT"
] | null | null | null | import os
from celery import Celery
from django.conf import settings
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'Calendar.settings')
app = Celery('Calendar')
app.config_from_object('django.conf:settings')
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)
| 19.428571 | 68 | 0.808824 | import os
from celery import Celery
from django.conf import settings
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'Calendar.settings')
app = Celery('Calendar')
app.config_from_object('django.conf:settings')
app.autodiscover_tasks(lambda: settings.INSTALLED_APPS)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c76fa309af32f83531d8851555390f6c52276c98 | 7,747 | py | Python | vmware_nsx_tempest/tests/nsxv/api/test_l2_gateway.py | gravity-tak/vmware-nsx-tempest | 3a1007d401c471d989345bb5a3f9769f84bd4ac6 | [
"Apache-2.0"
] | null | null | null | vmware_nsx_tempest/tests/nsxv/api/test_l2_gateway.py | gravity-tak/vmware-nsx-tempest | 3a1007d401c471d989345bb5a3f9769f84bd4ac6 | [
"Apache-2.0"
] | null | null | null | vmware_nsx_tempest/tests/nsxv/api/test_l2_gateway.py | gravity-tak/vmware-nsx-tempest | 3a1007d401c471d989345bb5a3f9769f84bd4ac6 | [
"Apache-2.0"
] | null | null | null | # Copyright 2015 OpenStack Foundation
# Copyright 2015 VMware Inc
# 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/LI... | 40.560209 | 78 | 0.675616 | # Copyright 2015 OpenStack Foundation
# Copyright 2015 VMware Inc
# 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/LI... | 0 | 3,628 | 0 | 3,016 | 0 | 0 | 0 | 129 | 157 |
dcf83d9849e1e8a5664a8bcdf93ecba4e8814773 | 8,892 | py | Python | telas/man_arquivos.py | saulocurty/bodyfitness | b356a7fb016d70dbd376956cef6a1382ddfb9a95 | [
"MIT"
] | null | null | null | telas/man_arquivos.py | saulocurty/bodyfitness | b356a7fb016d70dbd376956cef6a1382ddfb9a95 | [
"MIT"
] | null | null | null | telas/man_arquivos.py | saulocurty/bodyfitness | b356a7fb016d70dbd376956cef6a1382ddfb9a95 | [
"MIT"
] | null | null | null |
root = Tk()
usuario_logado = ''
user_logado = Usuario('', 0, 0,'','')
if __name__ == '__main__':
#Adiciona_Exercicio_Dia('Dana', 'sullo152@gmail.com')
pass | 32.933333 | 108 | 0.612123 | from calendar import c
from distutils.log import error
import pandas as pd
import csv
import asyncio
import os
import shutil
from atividades import *
from tkinter import *
root = Tk()
class Exercicio:
def __init__(self, nome:str, caloria: int):
self.nome = nome
self.caloria = caloria
... | 6 | 0 | 0 | 821 | 0 | 7,250 | 0 | -26 | 640 |
545f7d1f87dc1e0690243cf5e0cc1159a2a78f9e | 3,003 | py | Python | estoque/migrations/0001_initial.py | lucasgsouza03/NGKS_Shop | 002efbb141a74c1df97479e6bd6f112e4617ff3d | [
"Unlicense"
] | 1 | 2018-03-23T23:08:21.000Z | 2018-03-23T23:08:21.000Z | estoque/migrations/0001_initial.py | lucasgsouza03/NGKS_Shop | 002efbb141a74c1df97479e6bd6f112e4617ff3d | [
"Unlicense"
] | 7 | 2018-09-25T02:59:08.000Z | 2022-03-11T23:35:05.000Z | estoque/migrations/0001_initial.py | lucasgsouza03/NGKS_Shop | 002efbb141a74c1df97479e6bd6f112e4617ff3d | [
"Unlicense"
] | 2 | 2018-07-10T19:00:34.000Z | 2018-08-14T21:05:47.000Z | # Generated by Django 2.0.6 on 2019-10-03 17:36
| 48.435484 | 139 | 0.608392 | # Generated by Django 2.0.6 on 2019-10-03 17:36
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
('catalogo', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='... | 2 | 0 | 0 | 2,855 | 0 | 0 | 0 | 30 | 68 |
eb04130a9717101c047c225d7c4b517cb16c973a | 1,596 | py | Python | examples/ariadne_uvicorn/movies.py | danhitchcock/neo4j-graphql-py | 195b78f61aaf6f9c5c5b2d06f4a52380dcd1e076 | [
"Apache-2.0"
] | 17 | 2020-08-19T08:41:55.000Z | 2022-03-10T08:26:58.000Z | examples/ariadne_uvicorn/movies.py | danhitchcock/neo4j-graphql-py | 195b78f61aaf6f9c5c5b2d06f4a52380dcd1e076 | [
"Apache-2.0"
] | 10 | 2021-03-30T14:10:30.000Z | 2022-01-03T14:20:48.000Z | examples/ariadne_uvicorn/movies.py | danhitchcock/neo4j-graphql-py | 195b78f61aaf6f9c5c5b2d06f4a52380dcd1e076 | [
"Apache-2.0"
] | 7 | 2020-09-16T22:49:53.000Z | 2021-12-17T22:33:56.000Z | import uvicorn
from ariadne.asgi import GraphQL
from neo4j_graphql_py import neo4j_graphql, make_executable_schema
typeDefs = '''
directive @cypher(statement: String!) on FIELD_DEFINITION
directive @relation(name:String!, direction:String!) on FIELD_DEFINITION
type Movie {
_id: ID
title: String
released: Int
t... | 28.5 | 169 | 0.693609 | import neo4j
import uvicorn
from ariadne.asgi import GraphQL
from neo4j_graphql_py import neo4j_graphql, make_executable_schema
typeDefs = '''
directive @cypher(statement: String!) on FIELD_DEFINITION
directive @relation(name:String!, direction:String!) on FIELD_DEFINITION
type Movie {
_id: ID
title: String
rele... | 0 | 0 | 0 | 0 | 0 | 189 | 0 | -9 | 45 |
8a99e517b67f59c6996c622d2a1c56061abe1cf6 | 4,767 | py | Python | tools/rebaseline/add_legacy_flag.py | onlyyou2023/tingskia | 4e8c00df69ab8fb986f4985a393fd83c313b8909 | [
"BSD-3-Clause"
] | null | null | null | tools/rebaseline/add_legacy_flag.py | onlyyou2023/tingskia | 4e8c00df69ab8fb986f4985a393fd83c313b8909 | [
"BSD-3-Clause"
] | null | null | null | tools/rebaseline/add_legacy_flag.py | onlyyou2023/tingskia | 4e8c00df69ab8fb986f4985a393fd83c313b8909 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
README = """
Automatically add a specific legacy flag to multiple Skia client repos.
This would only work on Google desktop.
Exam... | 31.569536 | 80 | 0.679463 | #!/usr/bin/env python
# Copyright (c) 2017 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
README = """
Automatically add a specific legacy flag to multiple Skia client repos.
This would only work on Google desktop.
Exam... | 0 | 0 | 0 | 0 | 0 | 3,759 | 0 | -7 | 203 |
a14f62704f873df5f10a5c51c7a4ad5c8a180077 | 16,897 | py | Python | peinfo/peinfo/peinfo.py | ytreister/stoq-plugins-public | 1325ba0f61a313a1b9dbb71f2843ee698fb7ab9d | [
"Apache-2.0"
] | 72 | 2015-11-20T12:52:10.000Z | 2021-06-08T16:57:53.000Z | peinfo/peinfo/peinfo.py | ytreister/stoq-plugins-public | 1325ba0f61a313a1b9dbb71f2843ee698fb7ab9d | [
"Apache-2.0"
] | 87 | 2016-08-25T15:09:59.000Z | 2022-02-07T14:34:45.000Z | peinfo/peinfo/peinfo.py | ytreister/stoq-plugins-public | 1325ba0f61a313a1b9dbb71f2843ee698fb7ab9d | [
"Apache-2.0"
] | 37 | 2015-11-20T12:51:59.000Z | 2021-12-13T18:13:32.000Z | #!/usr/bin/env python3
# Copyright 2014-present PUNCH Cyber Analytics Group
#
# 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
#
# ... | 35.128898 | 87 | 0.519856 | #!/usr/bin/env python3
# Copyright 2014-present PUNCH Cyber Analytics Group
#
# 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
#
# ... | 0 | 0 | 3,252 | 12,467 | 0 | 0 | 0 | 104 | 223 |
e0841cc2b9ccf34c5a084dd31c9ada8e6207315d | 787 | py | Python | main.py | Jjrex8988/BlogCapstoneProject | f25a5839ecec21c3a56a75d180780a6b5aa3be19 | [
"MIT"
] | null | null | null | main.py | Jjrex8988/BlogCapstoneProject | f25a5839ecec21c3a56a75d180780a6b5aa3be19 | [
"MIT"
] | null | null | null | main.py | Jjrex8988/BlogCapstoneProject | f25a5839ecec21c3a56a75d180780a6b5aa3be19 | [
"MIT"
] | null | null | null | from flask import Flask
import requests
# posts = requests.get("https://api.npoint.io/43644ec4f0013682fc0d").json()
posts = requests.get('https://api.npoint.io/5083070470e7db605e88').json()
app = Flask(__name__)
if __name__ == "__main__":
app.run(debug=True)
| 22.485714 | 75 | 0.696315 | from flask import Flask, render_template
import requests
# posts = requests.get("https://api.npoint.io/43644ec4f0013682fc0d").json()
posts = requests.get('https://api.npoint.io/5083070470e7db605e88').json()
app = Flask(__name__)
@app.route('/')
def get_all_posts():
return render_template("index.html", all_posts... | 0 | 408 | 0 | 0 | 0 | 0 | 0 | 17 | 92 |
8458d968764e2d798f6e98445f0d41271aeef285 | 1,773 | py | Python | subway/http/response.py | 15696/async-web-framework | a8e11039e03d85673a132d97f11b10ce7724dcaa | [
"MIT"
] | 4 | 2022-02-06T13:56:14.000Z | 2022-02-08T03:44:48.000Z | subway/http/response.py | 15696/async-web-framework | a8e11039e03d85673a132d97f11b10ce7724dcaa | [
"MIT"
] | 1 | 2022-02-19T17:02:10.000Z | 2022-02-19T17:02:10.000Z | subway/http/response.py | 15696/async-web-framework | a8e11039e03d85673a132d97f11b10ce7724dcaa | [
"MIT"
] | 2 | 2022-02-06T14:12:21.000Z | 2022-02-19T16:50:31.000Z | from __future__ import annotations
from typing import TYPE_CHECKING
if TYPE_CHECKING:
| 22.730769 | 48 | 0.591653 | from __future__ import annotations
from typing import Dict, Optional, TYPE_CHECKING
from subway import HTTPStatus
from subway.headers import Headers
from subway.streams import StreamReader
from subway.request import HTTPConnection
if TYPE_CHECKING:
from .abc import Hooker
class HTTPResponse(HTTPConnection):
... | 0 | 384 | 95 | 991 | 0 | 0 | 0 | 77 | 138 |
dfd97ade3c9dcdc34fc5007e55cdc421a50d782d | 1,239 | py | Python | apis/auth/routes.py | gusibi/Metis | e44efc1d63861164c7214702d1050ec7c3a42fff | [
"Apache-2.0"
] | 84 | 2017-07-24T02:00:38.000Z | 2022-03-26T16:28:49.000Z | apis/auth/routes.py | gusibi/Metis | e44efc1d63861164c7214702d1050ec7c3a42fff | [
"Apache-2.0"
] | 5 | 2017-10-25T13:04:01.000Z | 2019-07-13T08:36:34.000Z | apis/auth/routes.py | gusibi/Metis | e44efc1d63861164c7214702d1050ec7c3a42fff | [
"Apache-2.0"
] | 28 | 2017-08-21T05:03:31.000Z | 2021-01-25T16:24:38.000Z | # -*- coding: utf-8 -*-
###
### DO NOT CHANGE THIS FILE
###
### The code is auto generated, your change will be overwritten by
### code generating.
###
from __future__ import absolute_import
from .api.oauth_token_code import OauthTokenCode
from .api.accounts_self import AccountsSelf
from .api.oauth_token import Oau... | 44.25 | 110 | 0.757062 | # -*- coding: utf-8 -*-
###
### DO NOT CHANGE THIS FILE
###
### The code is auto generated, your change will be overwritten by
### code generating.
###
from __future__ import absolute_import
from .api.oauth_token_code import OauthTokenCode
from .api.accounts_self import AccountsSelf
from .api.oauth_token import Oau... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
396854572d1280a2834f54904625b86d73e68ccf | 585 | py | Python | execicios/ex042/escaleno.py | Israel97f/Exercicios-de-Python | 5d3054187977deeb3fadbd7bb1cdee035c609a61 | [
"MIT"
] | null | null | null | execicios/ex042/escaleno.py | Israel97f/Exercicios-de-Python | 5d3054187977deeb3fadbd7bb1cdee035c609a61 | [
"MIT"
] | null | null | null | execicios/ex042/escaleno.py | Israel97f/Exercicios-de-Python | 5d3054187977deeb3fadbd7bb1cdee035c609a61 | [
"MIT"
] | null | null | null | n1 = int(input('Diga um numero: '))
n2 = int(input('Diga um numero: '))
n3 = int(input('Diga um numero: '))
maior = n1
soma = n2 + n3
if n2 > n1 and n2 > n3:
maior = n2
soma = n1 + n3
elif n3 > n1 and n3 > n2:
maior = n3
soma = n2 + n1
tri = ''
if n1 != n2 != n3 != n1:
tri = 'Escaleno'
elif n1 ==... | 20.172414 | 67 | 0.564103 | n1 = int(input('Diga um numero: '))
n2 = int(input('Diga um numero: '))
n3 = int(input('Diga um numero: '))
maior = n1
soma = n2 + n3
if n2 > n1 and n2 > n3:
maior = n2
soma = n1 + n3
elif n3 > n1 and n3 > n2:
maior = n3
soma = n2 + n1
tri = ''
if n1 != n2 != n3 != n1:
tri = 'Escaleno'
elif n1 ==... | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
69a7a731dea74b0e9d9a0638db1587918ecd62fa | 7,241 | py | Python | Project_01/Template_Matching/task2.py | Escapist-007/CVIP_Projects | 457dbdde3dca78229c2ae4eeb852681c42563ba9 | [
"MIT"
] | 6 | 2020-02-24T14:51:33.000Z | 2021-03-31T03:13:04.000Z | Project_01/Template_Matching/task2.py | Escapist-007/CVIP_Projects | 457dbdde3dca78229c2ae4eeb852681c42563ba9 | [
"MIT"
] | null | null | null | Project_01/Template_Matching/task2.py | Escapist-007/CVIP_Projects | 457dbdde3dca78229c2ae4eeb852681c42563ba9 | [
"MIT"
] | 3 | 2020-02-25T06:30:45.000Z | 2020-05-13T15:34:51.000Z | """
UB_ID : 50291708
Name : Md Moniruzzaman Monir
Character Detection
(Due date: March 8th, 11: 59 P.M.)
The goal of this task is to experiment with template matching techniques. Specifically, the task is to find ALL of
the coordinates where a specific character appears using ... | 33.368664 | 119 | 0.602127 | """
UB_ID : 50291708
Name : Md Moniruzzaman Monir
Character Detection
(Due date: March 8th, 11: 59 P.M.)
The goal of this task is to experiment with template matching techniques. Specifically, the task is to find ALL of
the coordinates where a specific character appears using ... | 0 | 0 | 0 | 0 | 0 | 2,039 | 0 | -37 | 168 |
8ba1a3464f9757c0d07d1b56e1d28157d0b49abb | 1,728 | py | Python | entity/models/person_image.py | The-Politico/politico-civic-entity | b64f477f2a008c528937d6dbfe19f48c20b0722e | [
"MIT"
] | null | null | null | entity/models/person_image.py | The-Politico/politico-civic-entity | b64f477f2a008c528937d6dbfe19f48c20b0722e | [
"MIT"
] | 2 | 2019-06-12T21:31:31.000Z | 2019-06-12T21:49:36.000Z | entity/models/person_image.py | The-Politico/politico-civic-entity | b64f477f2a008c528937d6dbfe19f48c20b0722e | [
"MIT"
] | null | null | null | # Imports from python.
# Imports from Django.
# Imports from politico-civic-entity.
# from entity.models.base import NaturalKeyMixin
# Unfortunately, this is only around so the old migrations don't break
| 26.181818 | 77 | 0.63831 | # Imports from python.
import os
import uuid
# Imports from Django.
from django.db import models
from django.utils.html import format_html
# Imports from politico-civic-entity.
from entity.models.base import CivicBaseModel
# from entity.models.base import NaturalKeyMixin
from entity.models.image_tag import ImageTag... | 0 | 0 | 0 | 998 | 0 | 250 | 0 | 70 | 199 |
fd8a1d247ec82ad9e332163d7fdff0b2e2deb7be | 458 | py | Python | PythonExercicios/ex030.py | gabjohann/python_3 | 380cb622669ed82d6b22fdd09d41f02f1ad50a73 | [
"MIT"
] | null | null | null | PythonExercicios/ex030.py | gabjohann/python_3 | 380cb622669ed82d6b22fdd09d41f02f1ad50a73 | [
"MIT"
] | null | null | null | PythonExercicios/ex030.py | gabjohann/python_3 | 380cb622669ed82d6b22fdd09d41f02f1ad50a73 | [
"MIT"
] | null | null | null | # Crie um programa que leia um nmero inteiro e mostra na tela se ele par ou mpar.
num = float(input('Digite um nmero: '))
resto = num % 2
if resto == 1:
print('O nmero mpar!')
else:
print('O nmero par!')
# Resoluo da aula
# nmero = int(input('Me diga um nmero qualquer: '))
# resultado = nmero % 2
# if... | 24.105263 | 85 | 0.628821 | # Crie um programa que leia um número inteiro e mostra na tela se ele é par ou ímpar.
num = float(input('Digite um número: '))
resto = num % 2
if resto == 1:
print('O número é ímpar!')
else:
print('O número é par!')
# Resolução da aula
# número = int(input('Me diga um número qualquer: '))
# resultado = nú... | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
189671009d9b9407de9e0067f91d5e8fc07ac4a5 | 1,179 | py | Python | project/tasks/_post_generation.py | pdm-project/copier-pdm | 0828803a81ef37a4b55829de88674373dfd5619b | [
"MIT"
] | 9 | 2021-03-19T13:19:10.000Z | 2022-03-23T19:00:03.000Z | project/tasks/_post_generation.py | pdm-project/copier-pdm | 0828803a81ef37a4b55829de88674373dfd5619b | [
"MIT"
] | 2 | 2021-03-19T14:11:04.000Z | 2021-12-24T12:26:45.000Z | project/tasks/_post_generation.py | pdm-project/copier-pdm | 0828803a81ef37a4b55829de88674373dfd5619b | [
"MIT"
] | 1 | 2021-03-20T14:56:51.000Z | 2021-03-20T14:56:51.000Z | from pathlib import Path
PROJECT_ROOT = Path(__file__).absolute().parent.parent
if __name__ == "__main__":
write_vscode_settings()
delete_myself()
| 25.630435 | 86 | 0.657337 | import json
import os
import subprocess
from pathlib import Path
PROJECT_ROOT = Path(__file__).absolute().parent.parent
def delete_myself() -> None:
try:
Path(__file__).unlink()
except OSError:
pass
def _get_packages_path() -> str:
packages_path = (
subprocess.check_output(["pdm... | 0 | 0 | 0 | 0 | 0 | 909 | 0 | -26 | 135 |
8fdc2830f103596338d703b4187d55c1db167b4a | 230 | py | Python | app.py | dchidell/traefik-cloudflare-updater | bb54aaa19c539ce2937a62dad1be7822ceac951a | [
"MIT"
] | 4 | 2020-08-17T22:36:26.000Z | 2021-08-07T15:06:40.000Z | app.py | dchidell/traefik-cloudflare-updater | bb54aaa19c539ce2937a62dad1be7822ceac951a | [
"MIT"
] | null | null | null | app.py | dchidell/traefik-cloudflare-updater | bb54aaa19c539ce2937a62dad1be7822ceac951a | [
"MIT"
] | 1 | 2021-02-27T13:31:57.000Z | 2021-02-27T13:31:57.000Z | #!/usr/bin/python
if __name__ == "__main__":
main()
| 14.375 | 41 | 0.691304 | #!/usr/bin/python
from TraefikUpdater import TraefikUpdater
def main():
updater = TraefikUpdater()
updater.process_containers()
# This blocks
updater.enter_update_loop()
if __name__ == "__main__":
main()
| 0 | 0 | 0 | 0 | 0 | 105 | 0 | 20 | 46 |
7f63e4066ef804f132ab42232075df743df511b4 | 4,172 | py | Python | functions/electron_heat_capacity.py | DanielaZahn/TTM_inputs_from_DFT_results | b98c8cb8047b3db877b4eef80d340e2bb1f48908 | [
"MIT"
] | 1 | 2022-01-21T00:56:57.000Z | 2022-01-21T00:56:57.000Z | functions/electron_heat_capacity.py | DanielaZahn/TTM_inputs_from_DFT_results | b98c8cb8047b3db877b4eef80d340e2bb1f48908 | [
"MIT"
] | null | null | null | functions/electron_heat_capacity.py | DanielaZahn/TTM_inputs_from_DFT_results | b98c8cb8047b3db877b4eef80d340e2bb1f48908 | [
"MIT"
] | 1 | 2022-03-11T02:35:19.000Z | 2022-03-11T02:35:19.000Z | import scipy.constants as constants | 63.212121 | 131 | 0.724832 | import scipy.interpolate
from scipy.special import expit
import scipy.constants as constants
import numpy as np
def calculate_electron_heat_capacity(temperatures,mu,e_dos,fermi_energy,\
region_around_fermi_energy=5,number_of_points = 5000):
# This function calculates the electr... | 0 | 0 | 0 | 0 | 0 | 4,038 | 0 | 10 | 89 |
4f1861257476bc180dc28877823670cc1543141b | 9,518 | py | Python | wce_triage/lib/netplan.py | pfrouleau/wce-triage-v2 | 25610cda55f5cb2170e13e121ae1cbaa92ef7626 | [
"MIT"
] | 3 | 2019-07-25T03:24:23.000Z | 2021-06-23T14:01:34.000Z | wce_triage/lib/netplan.py | pfrouleau/wce-triage-v2 | 25610cda55f5cb2170e13e121ae1cbaa92ef7626 | [
"MIT"
] | 1 | 2019-12-20T16:04:19.000Z | 2019-12-20T16:04:19.000Z | wce_triage/lib/netplan.py | pfrouleau/wce-triage-v2 | 25610cda55f5cb2170e13e121ae1cbaa92ef7626 | [
"MIT"
] | 2 | 2019-07-25T03:24:26.000Z | 2021-02-14T05:27:11.000Z | """ netplan.py generates netplan file for triage.
There are two cases, one for during triage where a machine generates a default netplan yaml file,
and other is for server.
"""
from ..const import const
from ..components.network import NetworkDeviceType, NetworkDevice
import sys, os, json, hashlib
indentspace = ' '... | 28.41194 | 118 | 0.61452 | """ netplan.py generates netplan file for triage.
There are two cases, one for during triage where a machine generates a default netplan yaml file,
and other is for server.
"""
from ..const import const
from ..components.network import NetworkDeviceType, NetworkDevice
import sys, os, json, hashlib
indentspace = ' '... | 0 | 0 | 0 | 721 | 0 | 97 | 0 | 0 | 45 |
0abb64d5dbfa02094ea8ed91a05f58a2f9b0eab4 | 771 | py | Python | ch4/dcard_api.py | lpark6321/py-scraping-codetest | f53d33b63f74dcb29276400070346605685e17cb | [
"MIT"
] | null | null | null | ch4/dcard_api.py | lpark6321/py-scraping-codetest | f53d33b63f74dcb29276400070346605685e17cb | [
"MIT"
] | null | null | null | ch4/dcard_api.py | lpark6321/py-scraping-codetest | f53d33b63f74dcb29276400070346605685e17cb | [
"MIT"
] | null | null | null | import requests
DCARD_URL = 'https://www.dcard.tw'
DCARD_API = DCARD_URL + '/_api/posts?popular=true'
#https://www.dcard.tw/_api/posts?popular=true&limit=&before=
if __name__ == '__main__':
num_page = 2
posts = list(requests.get(DCARD_API).json())
for i in range(1, num_page):
id_last_post = post... | 33.521739 | 86 | 0.60441 | import requests
DCARD_URL = 'https://www.dcard.tw'
DCARD_API = DCARD_URL + '/_api/posts?popular=true'
#https://www.dcard.tw/_api/posts?popular=true&limit=最大幾項&before=最後一篇文章號碼
def show(post):
for key in ['id', 'title', 'excerpt', 'likeCount', 'commentCount']:
print('%s: %s' %(key, post[key]))
print('h... | 57 | 0 | 0 | 0 | 0 | 185 | 0 | 0 | 23 |
1c9cbb6c816dfec2e7a90b98b3b9a1afae8cd85f | 747 | py | Python | flask_zs/exceptions.py | codeif/flask-zs | 33ea4dbf97edced895e9a6eac7cbfeb6a659f6cb | [
"MIT"
] | 5 | 2019-12-19T09:30:20.000Z | 2022-01-07T17:53:52.000Z | flask_zs/exceptions.py | codeif/Flask-ZS | 2992ac06aa1a2e8b7e61dc3e551dac350b256f91 | [
"MIT"
] | null | null | null | flask_zs/exceptions.py | codeif/Flask-ZS | 2992ac06aa1a2e8b7e61dc3e551dac350b256f91 | [
"MIT"
] | null | null | null | """
flask_zs.exceptions
~~~~~~~~~~~~
flask-zs exceptions module
:copyright: (c) 2018 by codeif.
:license: MIT, see LICENSE for more details.
"""
| 20.189189 | 60 | 0.598394 | """
flask_zs.exceptions
~~~~~~~~~~~~
flask-zs exceptions module
:copyright: (c) 2018 by codeif.
:license: MIT, see LICENSE for more details.
"""
class BaseCustomException(Exception):
errcode = 1000
errmsg = "Server Unkown Error."
def __init__(self, errmsg=None, errcode=None, **kw):
... | 0 | 0 | 0 | 508 | 0 | 0 | 0 | 0 | 69 |
cb9d75b973a4591df4e16cfed850bad51918caf1 | 3,089 | py | Python | Algorithm/LeetCode/523_continuous_subarray_sum.py | hqzhang83/Everything101 | 88b42902cb96e87fd44a3be60624ec919326e369 | [
"Apache-2.0"
] | null | null | null | Algorithm/LeetCode/523_continuous_subarray_sum.py | hqzhang83/Everything101 | 88b42902cb96e87fd44a3be60624ec919326e369 | [
"Apache-2.0"
] | null | null | null | Algorithm/LeetCode/523_continuous_subarray_sum.py | hqzhang83/Everything101 | 88b42902cb96e87fd44a3be60624ec919326e369 | [
"Apache-2.0"
] | null | null | null | """
# Problem Statement
Given a list of non-negative numbers and a target integer k, write a function to
check if the array has a continuous subarray of size at least 2 that sums up to
a multiple of k, that is, sums up to n*k where n is also an integer.
## Constraints:
The length of the array won't exceed 10,000.
You... | 29.990291 | 92 | 0.609259 | """
# Problem Statement
Given a list of non-negative numbers and a target integer k, write a function to
check if the array has a continuous subarray of size at least 2 that sums up to
a multiple of k, that is, sums up to n*k where n is also an integer.
## Constraints:
The length of the array won't exceed 10,000.
You... | 0 | 675 | 0 | 10 | 0 | 274 | 0 | 67 | 251 |
fef0ff6e79b4384c67f140e01d979e020980a194 | 5,144 | py | Python | emanuel/migrations/0001_initial.py | Alexandre1313/Desafio | 03f6ba5228b0654be002cbf4ff22bbf8e2ea8fd1 | [
"MIT"
] | null | null | null | emanuel/migrations/0001_initial.py | Alexandre1313/Desafio | 03f6ba5228b0654be002cbf4ff22bbf8e2ea8fd1 | [
"MIT"
] | null | null | null | emanuel/migrations/0001_initial.py | Alexandre1313/Desafio | 03f6ba5228b0654be002cbf4ff22bbf8e2ea8fd1 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.17 on 2021-01-29 22:34
| 49.941748 | 120 | 0.566291 | # Generated by Django 2.2.17 on 2021-01-29 22:34
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Aluno',
fields=[
... | 2 | 0 | 0 | 4,995 | 0 | 0 | 0 | 30 | 68 |
0dda38cc660ef2c065db576d5bbed10844e47a73 | 1,719 | py | Python | accounts/urls.py | danielskiptoo/foreCast | 9eb9383846e06b0fa8dfe79be27c69dd26b98e48 | [
"MIT"
] | null | null | null | accounts/urls.py | danielskiptoo/foreCast | 9eb9383846e06b0fa8dfe79be27c69dd26b98e48 | [
"MIT"
] | 2 | 2021-03-19T22:01:45.000Z | 2021-06-10T20:02:17.000Z | accounts/urls.py | danielskiptoo/foreCast | 9eb9383846e06b0fa8dfe79be27c69dd26b98e48 | [
"MIT"
] | null | null | null | from django.contrib.auth import views as auth
from django.urls import path
import main.views
import accounts.views
urlpatterns = [
path('',main.views.IndexView, name='index'),
path('login/', accounts.views.SignInView.as_view(), name='login'),
path('logout/', auth.LogoutView.as_view(template_name='inde... | 42.975 | 105 | 0.717277 | from django.contrib import admin
from django.contrib.auth import views as auth
from django.urls import path, include
import main.views
import accounts.views
urlpatterns = [
path('',main.views.IndexView, name='index'),
path('login/', accounts.views.SignInView.as_view(), name='login'),
path('logout/', a... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20 | 22 |
44277268c05387b6e95f385f2eac97df528a87ac | 1,571 | py | Python | train.py | roym899/abandoned_bag_detection | 5c27dcade60b5f740bd35b5366ae22d8d8b834af | [
"MIT"
] | 1 | 2020-03-31T11:35:50.000Z | 2020-03-31T11:35:50.000Z | train.py | Guttappa1238/abandoned_bag_detection | 4c341e109451c1db0879ac87671c76dcd5d27414 | [
"MIT"
] | 2 | 2020-09-30T06:54:08.000Z | 2022-03-26T07:26:07.000Z | train.py | Guttappa1238/abandoned_bag_detection | 4c341e109451c1db0879ac87671c76dcd5d27414 | [
"MIT"
] | 4 | 2020-09-30T06:59:53.000Z | 2022-03-24T12:39:54.000Z | #!/usr/bin/env python3
# coding: utf-8
import os
from detectron2.data.datasets import register_coco_instances
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.engine import DefaultTrainer
from torch import cuda
register_coco_instances("person_bag_train", {}, "./datasets/per... | 38.317073 | 112 | 0.756206 | #!/usr/bin/env python3
# coding: utf-8
import os
from detectron2.data.datasets import register_coco_instances
from detectron2 import model_zoo
from detectron2.config import get_cfg
from detectron2.engine import DefaultTrainer
from torch import cuda
register_coco_instances("person_bag_train", {}, "./datasets/per... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7f8839cc00edfc811c700fc52298bc3e7a390c02 | 4,298 | py | Python | python/gtsam/examples/ShonanAveragingCLI.py | xxiao-1/gtsam | 8b1516f43ffdf6b5098fc282b566f2ee1edb50f6 | [
"BSD-3-Clause"
] | 1,402 | 2017-03-28T00:18:11.000Z | 2022-03-30T10:28:32.000Z | python/gtsam/examples/ShonanAveragingCLI.py | xxiao-1/gtsam | 8b1516f43ffdf6b5098fc282b566f2ee1edb50f6 | [
"BSD-3-Clause"
] | 851 | 2017-11-27T15:09:56.000Z | 2022-03-31T22:26:38.000Z | python/gtsam/examples/ShonanAveragingCLI.py | xxiao-1/gtsam | 8b1516f43ffdf6b5098fc282b566f2ee1edb50f6 | [
"BSD-3-Clause"
] | 565 | 2017-11-30T16:15:59.000Z | 2022-03-31T02:53:04.000Z | """
GTSAM Copyright 2010-2018, Georgia Tech Research Corporation,
Atlanta, Georgia 30332-0415
All Rights Reserved
Authors: Frank Dellaert, et al. (see THANKS for the full author list)
See LICENSE for the license information
Shonan Rotation Averaging CLI reads a *pose* graph, extracts the
rotation constraints, and run... | 34.111111 | 91 | 0.64402 | """
GTSAM Copyright 2010-2018, Georgia Tech Research Corporation,
Atlanta, Georgia 30332-0415
All Rights Reserved
Authors: Frank Dellaert, et al. (see THANKS for the full author list)
See LICENSE for the license information
Shonan Rotation Averaging CLI reads a *pose* graph, extracts the
rotation constraints, and run... | 0 | 0 | 0 | 0 | 0 | 118 | 0 | 0 | 54 |
bbddbf8bc7f5322358ec29bf6f48df24315ccf1c | 6,505 | py | Python | scripts/fabfile/upfront.py | qinzhewudao/amoeba | dbb6d4248078fd4418cf5048056c7b79aaf4d5f8 | [
"MIT"
] | 15 | 2016-07-14T07:41:31.000Z | 2021-08-07T03:19:42.000Z | scripts/fabfile/upfront.py | qinzhewudao/amoeba | dbb6d4248078fd4418cf5048056c7b79aaf4d5f8 | [
"MIT"
] | 18 | 2015-11-11T23:27:20.000Z | 2016-03-11T00:56:38.000Z | scripts/fabfile/upfront.py | mitdbg/mdindex | dbb6d4248078fd4418cf5048056c7b79aaf4d5f8 | [
"MIT"
] | 2 | 2017-06-06T10:33:54.000Z | 2017-12-23T07:56:40.000Z |
counter = 0
"""
Used to measure the time taken to simply upload
data into HDFS.
"""
#############
# Running Queries
############
| 29.976959 | 133 | 0.512683 | from fabric.api import run,put,cd,parallel,roles,serial,local,runs_once
from env_setup import *
counter = 0
"""
Used to measure the time taken to simply upload
data into HDFS.
"""
@parallel
def hdfs_upload_test():
global conf
with cd(env.conf['HADOOPBIN']):
cmd = './hadoop fs -copyFromLocal' + \
... | 0 | 5,909 | 0 | 0 | 0 | 0 | 0 | 52 | 411 |
3b26eb555841609295156c7e3c5cbb4c23fb68ee | 107 | py | Python | call_job.py | breecummins/dsgrn_net_gen | bcd77b71ad3e311d2906f0af986559d2c54ffe6d | [
"MIT"
] | 1 | 2020-03-31T18:44:06.000Z | 2020-03-31T18:44:06.000Z | call_job.py | breecummins/dsgrn_net_gen | bcd77b71ad3e311d2906f0af986559d2c54ffe6d | [
"MIT"
] | null | null | null | call_job.py | breecummins/dsgrn_net_gen | bcd77b71ad3e311d2906f0af986559d2c54ffe6d | [
"MIT"
] | null | null | null | from dsgrn_net_gen.makejobs import Job
import sys
paramfile = sys.argv[1]
job = Job(paramfile)
job.run()
| 13.375 | 38 | 0.757009 | from dsgrn_net_gen.makejobs import Job
import sys
paramfile = sys.argv[1]
job = Job(paramfile)
job.run()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
acc85df035231baea2783c4a8f782608fdf3e42f | 13,022 | py | Python | astroquery/mast/services.py | rickynilsson/astroquery | b7edec0d8e36b11c25baa39ad72e4160bc30d465 | [
"BSD-3-Clause"
] | 577 | 2015-02-12T18:23:49.000Z | 2022-03-22T21:38:58.000Z | astroquery/mast/services.py | rickynilsson/astroquery | b7edec0d8e36b11c25baa39ad72e4160bc30d465 | [
"BSD-3-Clause"
] | 1,812 | 2015-01-01T08:02:20.000Z | 2022-03-31T13:03:52.000Z | astroquery/mast/services.py | rickynilsson/astroquery | b7edec0d8e36b11c25baa39ad72e4160bc30d465 | [
"BSD-3-Clause"
] | 322 | 2015-02-23T19:31:29.000Z | 2022-03-25T18:51:30.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
MAST Microservices API
======================
This module contains various methods for querying MAST microservice APIs.
"""
import numpy as np
from astropy.table import Table, MaskedColumn
__all__ = []
def _json_to_table(json_obj):
"""
T... | 36.889518 | 119 | 0.593688 | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
MAST Microservices API
======================
This module contains various methods for querying MAST microservice APIs.
"""
import json
import time
import warnings
import numpy as np
from astropy.table import Table, Column, MaskedColumn
from ..que... | 0 | 9,767 | 0 | 0 | 0 | 0 | 0 | 74 | 202 |
12617a6cbffa4e5f50c790ffdd9e897f84e62fb7 | 1,588 | py | Python | C02/common/utils.py | pascal-p/ML_UW_Spec | 5e19916b62fd776b1412ba31d06b41049a1ec7d8 | [
"BSD-3-Clause"
] | null | null | null | C02/common/utils.py | pascal-p/ML_UW_Spec | 5e19916b62fd776b1412ba31d06b41049a1ec7d8 | [
"BSD-3-Clause"
] | null | null | null | C02/common/utils.py | pascal-p/ML_UW_Spec | 5e19916b62fd776b1412ba31d06b41049a1ec7d8 | [
"BSD-3-Clause"
] | null | null | null |
##
## use in week 2, 4 and 5
##
def get_rss(model, data, y):
"""
get prediction, then calc. rss
"""
preds = model.predict(data) # First get the predictions
diff = y - preds # Then compute the residuals/errors
rss = (diff * diff).sum() # Then square and add them up
return... | 42.918919 | 135 | 0.695214 | import numpy as np
##
## use in week 2, 4 and 5
##
def get_numpy_data(data_sf, features, output):
data_sf['constant'] = 1.0 # this is how you add a constant column to an SFrame
features = ['constant', *features] # add the column 'constant' to the front of the features list so that we can ... | 0 | 0 | 0 | 0 | 0 | 1,152 | 0 | -3 | 114 |
a425e2f4bad9193b1bbe7e622987527ee440052d | 478 | py | Python | gazebo_sim/results/binarize.py | CARMinesDouai/MutiRobotExplorationPackages | 725f36eaa22adb33be7f5961db1a0f8e50fdadbd | [
"MIT"
] | 7 | 2016-12-10T15:44:00.000Z | 2020-08-27T17:40:11.000Z | gazebo_sim/results/binarize.py | CARMinesDouai/MutiRobotExplorationPackages | 725f36eaa22adb33be7f5961db1a0f8e50fdadbd | [
"MIT"
] | 2 | 2020-04-14T15:19:53.000Z | 2021-01-26T21:26:47.000Z | gazebo_sim/results/binarize.py | CARMinesDouai/MutiRobotExplorationPackages | 725f36eaa22adb33be7f5961db1a0f8e50fdadbd | [
"MIT"
] | 2 | 2017-01-29T03:01:06.000Z | 2021-12-15T14:59:10.000Z | #! /usr/bin/python
import cv2
import sys
import os
import ntpath
f = sys.argv[1]
print('Binarizing ',f)
name = ntpath.basename(f)
dir = os.path.dirname(f)
im_gray = cv2.imread(f, cv2.IMREAD_GRAYSCALE)
#THRESH_BINARY_INV
if(len(sys.argv) > 2):
thresh = 130
im_bw = cv2.threshold(im_gray, thresh, 255, cv2.THRESH... | 26.555556 | 91 | 0.702929 | #! /usr/bin/python
import cv2
import sys
import os
import ntpath
f = sys.argv[1]
print('Binarizing ',f)
name = ntpath.basename(f)
dir = os.path.dirname(f)
im_gray = cv2.imread(f, cv2.IMREAD_GRAYSCALE)
#THRESH_BINARY_INV
if(len(sys.argv) > 2):
thresh = 130
im_bw = cv2.threshold(im_gray, thresh, 255, cv2.THRESH... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0010198ae10439d3cc2215f0f28a9f4dbb98d891 | 33 | py | Python | testproject/localsite/__init__.py | jinrith27/Realestate | 9e8d7f44c0d04f4828adedb9977bd869cf4a8ce7 | [
"BSD-2-Clause"
] | 42 | 2015-02-22T10:00:02.000Z | 2021-10-31T08:56:40.000Z | testproject/localsite/__init__.py | jinrith27/Realestate | 9e8d7f44c0d04f4828adedb9977bd869cf4a8ce7 | [
"BSD-2-Clause"
] | 8 | 2015-03-07T14:16:45.000Z | 2019-02-26T15:37:01.000Z | testproject/localsite/__init__.py | jinrith27/Realestate | 9e8d7f44c0d04f4828adedb9977bd869cf4a8ce7 | [
"BSD-2-Clause"
] | 23 | 2015-01-08T19:32:33.000Z | 2020-11-16T08:07:02.000Z | __author__ = 'Williams Mendez'
| 16.5 | 30 | 0.727273 | __author__ = 'Williams Mendez'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e79e28aa0dd405298d73ed88a330079e8d56fa27 | 28 | py | Python | pyfan/table/__init__.py | FanWangEcon/pyfan | 126e91c0c6d930f1c335a07396d1d2145b247cea | [
"MIT"
] | 1 | 2020-08-02T21:43:39.000Z | 2020-08-02T21:43:39.000Z | pyfan/table/__init__.py | FanWangEcon/pyfan | 126e91c0c6d930f1c335a07396d1d2145b247cea | [
"MIT"
] | null | null | null | pyfan/table/__init__.py | FanWangEcon/pyfan | 126e91c0c6d930f1c335a07396d1d2145b247cea | [
"MIT"
] | 1 | 2020-12-02T06:45:20.000Z | 2020-12-02T06:45:20.000Z | # Generating Tables (Latex)
| 14 | 27 | 0.75 | # Generating Tables (Latex)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
08983efcb412e733d9fb2e6416f739f80eaff9a1 | 1,345 | py | Python | genderbyname.py | hzursa/Play-Reader | d3486fd8306fecc92439606736edbda5a4b1e381 | [
"MIT"
] | null | null | null | genderbyname.py | hzursa/Play-Reader | d3486fd8306fecc92439606736edbda5a4b1e381 | [
"MIT"
] | null | null | null | genderbyname.py | hzursa/Play-Reader | d3486fd8306fecc92439606736edbda5a4b1e381 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
from sklearn.feature_extraction import DictVectorizer
from sklearn.model_selection import train_test_split
from sklearn.naive_bayes import MultinomialNB
features = np.vectorize(features)
baby= pd.read_csv("data/name.csv")
baby.columns=['name','sex']
baby=baby.drop_duplicates()
bab... | 30.568182 | 83 | 0.703346 | import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction import DictVectorizer
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.naive_bayes import MultinomialNB
def features(name):
... | 0 | 0 | 0 | 0 | 0 | 456 | 0 | 64 | 88 |
298fab930d77151a7039b3f22808888f3f54a212 | 1,676 | py | Python | afs_integration/conf.py | fadilsiddique/afs_integration | 6782844e415755ea1b9bac36d3fb47f6261ee732 | [
"MIT"
] | null | null | null | afs_integration/conf.py | fadilsiddique/afs_integration | 6782844e415755ea1b9bac36d3fb47f6261ee732 | [
"MIT"
] | null | null | null | afs_integration/conf.py | fadilsiddique/afs_integration | 6782844e415755ea1b9bac36d3fb47f6261ee732 | [
"MIT"
] | null | null | null | # from http.client import OK
# from urllib import request, response
# import frappe
# import requests
# import json
# from erpnext.selling.doctype.sales_order.sales_order import make_sales_invoice
# import os
# @frappe.whitelist(allow_guest=True)
# def webhook(*args,**kwargs):
# from dotenv import load_dotenv
# ... | 32.230769 | 95 | 0.653341 | # from http.client import OK
# from urllib import request, response
# import frappe
# import requests
# import json
# from erpnext.selling.doctype.sales_order.sales_order import make_sales_invoice
# import os
# @frappe.whitelist(allow_guest=True)
# def webhook(*args,**kwargs):
# from dotenv import load_dotenv
# ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
002729bdb7f190b75a5af02c0c445d90a3213921 | 1,635 | py | Python | tests/calculations/test_pw2gw.py | lbotsch/aiida-quantumespresso | fe75c80cecb61113641366961ced8ed5a03cf896 | [
"MIT"
] | null | null | null | tests/calculations/test_pw2gw.py | lbotsch/aiida-quantumespresso | fe75c80cecb61113641366961ced8ed5a03cf896 | [
"MIT"
] | null | null | null | tests/calculations/test_pw2gw.py | lbotsch/aiida-quantumespresso | fe75c80cecb61113641366961ced8ed5a03cf896 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Tests for the `Pw2gwCalculation` class."""
from aiida import orm
from aiida.common import datastructures
from aiida_quantumespresso.utils.resources import get_default_options
def test_pw_default(
aiida_profile, fixture_localhost, fixture_sandbox, fixture_code, generate_calc_job, genera... | 29.727273 | 117 | 0.64526 | # -*- coding: utf-8 -*-
"""Tests for the `Pw2gwCalculation` class."""
from aiida import orm
from aiida.common import datastructures
from aiida_quantumespresso.utils.resources import get_default_options
def test_pw_default(
aiida_profile, fixture_localhost, fixture_sandbox, fixture_code, generate_calc_job, genera... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1838831d109c70ffd7a9492db2812ab63b9054a8 | 14,892 | py | Python | deeppavlov/models/morpho_tagger/network.py | cclauss/DeepPavlov | 8726173c92994b3f789790b5879052d2f7953f47 | [
"Apache-2.0"
] | 3 | 2020-04-16T04:25:10.000Z | 2021-05-07T23:04:43.000Z | deeppavlov/models/morpho_tagger/network.py | sachinsingh3107/Deeppavlov_Chatbot | f10b9485c118cdec69e73c89833a1a5a164404de | [
"Apache-2.0"
] | 12 | 2020-01-28T22:14:04.000Z | 2022-02-10T00:10:17.000Z | deeppavlov/models/morpho_tagger/network.py | sachinsingh3107/Deeppavlov_Chatbot | f10b9485c118cdec69e73c89833a1a5a164404de | [
"Apache-2.0"
] | 1 | 2022-02-08T14:41:28.000Z | 2022-02-08T14:41:28.000Z | # Copyright 2017 Neural Networks and Deep Learning lab, MIPT
#
# 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 applicab... | 44.990937 | 110 | 0.631144 | # Copyright 2017 Neural Networks and Deep Learning lab, MIPT
#
# 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 applicab... | 0 | 558 | 0 | 13,211 | 0 | 0 | 0 | 168 | 268 |
89b08ec22d098c7b9208c33efd73a85e9e2c1ada | 520 | py | Python | setup.py | ybalcanci/turkce-sozde-insan-ismi-uretici | 55350e1bcd41c946a455a37d87b6024dd94869d8 | [
"Apache-2.0"
] | 2 | 2020-02-05T00:28:08.000Z | 2022-03-28T10:11:36.000Z | setup.py | ybalcanci/turkce-sozde-insan-ismi-uretici | 55350e1bcd41c946a455a37d87b6024dd94869d8 | [
"Apache-2.0"
] | null | null | null | setup.py | ybalcanci/turkce-sozde-insan-ismi-uretici | 55350e1bcd41c946a455a37d87b6024dd94869d8 | [
"Apache-2.0"
] | null | null | null | from distutils.core import setup
setup(
name="turkce_isimler",
packages=["turkce_isimler"],
version="2.0",
license="MIT",
description="Bu paket ile rastgele Trke kadn ve erkek isimleri retebilirsiniz.",
author="Yasin Balcanc, Emre Sln",
author_email="ybalcanci@gmail.com",
url="https://gi... | 34.666667 | 88 | 0.701923 | from distutils.core import setup
setup(
name="turkce_isimler",
packages=["turkce_isimler"],
version="2.0",
license="MIT",
description="Bu paket ile rastgele Türkçe kadın ve erkek isimleri üretebilirsiniz.",
author="Yasin Balcancı, Emre Sülün",
author_email="ybalcanci@gmail.com",
url="htt... | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c3950294e0bebe8f896179e62a4f40d03dc005f4 | 117 | py | Python | selia/__init__.py | IslasGECI/selia | 9863c32cd45db13053a1d2add67f5bdc1871b791 | [
"BSD-4-Clause"
] | null | null | null | selia/__init__.py | IslasGECI/selia | 9863c32cd45db13053a1d2add67f5bdc1871b791 | [
"BSD-4-Clause"
] | 13 | 2020-01-07T21:53:50.000Z | 2022-01-13T01:53:50.000Z | selia/__init__.py | IslasGECI/selia | 9863c32cd45db13053a1d2add67f5bdc1871b791 | [
"BSD-4-Clause"
] | 1 | 2021-05-06T19:38:09.000Z | 2021-05-06T19:38:09.000Z | import os
APP_DIRECTORY = os.path.dirname(os.path.abspath(__file__))
default_app_config = 'selia.apps.SeliaConfig'
| 19.5 | 58 | 0.794872 | import os
APP_DIRECTORY = os.path.dirname(os.path.abspath(__file__))
default_app_config = 'selia.apps.SeliaConfig'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
111203c73c5a5c350b31463d934dd5207d4cb99d | 486 | py | Python | BioDesigner/urls.py | igemsoftware/HFUT-China_2015 | 5db86858963d29188ec1a8fdedaf7a98f4528cf4 | [
"Apache-2.0"
] | null | null | null | BioDesigner/urls.py | igemsoftware/HFUT-China_2015 | 5db86858963d29188ec1a8fdedaf7a98f4528cf4 | [
"Apache-2.0"
] | 3 | 2015-09-21T21:50:45.000Z | 2015-09-22T15:42:28.000Z | BioDesigner/urls.py | igemsoftware/HFUT-China_2015 | 5db86858963d29188ec1a8fdedaf7a98f4528cf4 | [
"Apache-2.0"
] | 2 | 2020-03-28T01:33:51.000Z | 2021-07-18T13:56:27.000Z | from django.conf.urls import patterns, include, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'tagging.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
#
url(r'^$', include('accounts.urls')),
url(r'^accounts/', ... | 28.588235 | 52 | 0.617284 | from django.conf.urls import patterns, include, url
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'tagging.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
#
url(r'^$', include('accounts.urls')),
url(r'^accounts/', ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b733b13baa805545757f600a7765bab9bbe074f8 | 2,857 | py | Python | Afvaldienst/test_mijnafvalwijzer.py | xirixiz/python-afvalwijzer-afvalstoffendienst | ef76b07033848a6f7092e941c6c4a3ec214f2842 | [
"MIT"
] | 1 | 2019-10-28T12:26:14.000Z | 2019-10-28T12:26:14.000Z | Afvaldienst/test_mijnafvalwijzer.py | xirixiz/afvaldienst | ef76b07033848a6f7092e941c6c4a3ec214f2842 | [
"MIT"
] | 3 | 2020-09-11T08:38:50.000Z | 2020-09-23T07:08:44.000Z | Afvaldienst/test_mijnafvalwijzer.py | xirixiz/python-afvalwijzer-afvalstoffendienst | ef76b07033848a6f7092e941c6c4a3ec214f2842 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from Afvaldienst import Afvaldienst
#trash = Afvaldienst('mijnafvalwijzer', '', '5146EG', '2', '', 'false', 'Geen')
#trash = Afvaldienst('mijnafvalwijzer', '6851GJ', '2', '', 'false')
#trash = Afvaldienst('mijnafvalwijzer', '3911CX', '178', '', 'false')
#trash = Afvaldienst('mijnafvalwijzer', '... | 98.517241 | 2,067 | 0.624081 | #!/usr/bin/env python3
from Afvaldienst import Afvaldienst
#trash = Afvaldienst('mijnafvalwijzer', '', '5146EG', '2', '', 'false', 'Geen')
#trash = Afvaldienst('mijnafvalwijzer', '6851GJ', '2', '', 'false')
#trash = Afvaldienst('mijnafvalwijzer', '3911CX', '178', '', 'false')
#trash = Afvaldienst('mijnafvalwijzer', '... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76f5ce295fe7a707257b1019ddc2e3dc95744279 | 1,827 | py | Python | main.py | pattoM/InfluxDB-Demo | 4f91908aa23bcd8c752f9775bb425588208cc41b | [
"MIT"
] | 1 | 2022-03-17T09:38:14.000Z | 2022-03-17T09:38:14.000Z | main.py | pattoM/InfluxDB-Demo | 4f91908aa23bcd8c752f9775bb425588208cc41b | [
"MIT"
] | null | null | null | main.py | pattoM/InfluxDB-Demo | 4f91908aa23bcd8c752f9775bb425588208cc41b | [
"MIT"
] | null | null | null | from flask import Flask
from datetime import datetime
import rfc3339
from apscheduler.schedulers.background import BackgroundScheduler
from flask_cors import CORS
import random
from influxdb import InfluxDBClient
#app init for flask
app = Flask(__name__)
app.config['SECRET_KEY'] = 'secrejslfwfsfsnjuettoeepwlslsldsmc,... | 27.268657 | 156 | 0.662835 | from flask import Flask,request, abort,jsonify
from datetime import datetime
import rfc3339
from apscheduler.schedulers.background import BackgroundScheduler
from flask_cors import CORS, cross_origin
import random
from influxdb import InfluxDBClient
#app init for flask
app = Flask(__name__)
app.config['SECRET_KEY'] =... | 0 | 347 | 0 | 0 | 0 | 0 | 0 | 37 | 22 |
9ca1079cfe865e5f83d56039a0e88614d08303c2 | 339 | py | Python | datakeeper/main.py | thegreathippo/datakeeper | f3d47f5e5c6131ca3321eb5791de3e38e51a8456 | [
"MIT"
] | null | null | null | datakeeper/main.py | thegreathippo/datakeeper | f3d47f5e5c6131ca3321eb5791de3e38e51a8456 | [
"MIT"
] | null | null | null | datakeeper/main.py | thegreathippo/datakeeper | f3d47f5e5c6131ca3321eb5791de3e38e51a8456 | [
"MIT"
] | null | null | null | from utils import load_yaml_file
inputs = {"Number": Number, "Flag": Flag}
data = load_yaml_file('data.yaml')
#print(data)
for key in data:
print(data[key])
if data[key] in inputs:
data[key] = inputs[key]
print(data) | 11.3 | 41 | 0.648968 | from utils import load_yaml_file
class UserInput:
pass
class Number(UserInput):
pass
class Flag(UserInput):
pass
inputs = {"Number": Number, "Flag": Flag}
data = load_yaml_file('data.yaml')
#print(data)
for key in data:
print(data[key])
if data[key] in inputs:
data[key] = input... | 0 | 0 | 0 | 26 | 0 | 0 | 0 | 0 | 69 |
c1ff7fb5faccb327075ff47015cc6866b13052fb | 478 | py | Python | autoprocess/auto_inputs.py | michel4j/auto-process | 9c011cef3cdc2fc55df31f9cac88c3e1074aa366 | [
"BSD-3-Clause"
] | null | null | null | autoprocess/auto_inputs.py | michel4j/auto-process | 9c011cef3cdc2fc55df31f9cac88c3e1074aa366 | [
"BSD-3-Clause"
] | null | null | null | autoprocess/auto_inputs.py | michel4j/auto-process | 9c011cef3cdc2fc55df31f9cac88c3e1074aa366 | [
"BSD-3-Clause"
] | null | null | null | from autoprocess.utils import log
logger = log.get_module_logger('auto.process')
| 23.9 | 105 | 0.713389 | import sys
from autoprocess.engine.process import DataSet
from autoprocess.utils import log, xdsio
logger = log.get_module_logger('auto.process')
def main(args):
dataset = DataSet(filename=args.image)
logger.info('Creating XDS.INP ...')
xdsio.write_xds_input('ALL !XYCORR INIT COLSPOT IDXREF DEFPIX INTEGR... | 0 | 0 | 0 | 0 | 0 | 283 | 0 | 21 | 90 |
bd5d6518223769187c7ccb7e8f29f1fc217a0fca | 670 | py | Python | edfi_performance/api/client/program.py | Ed-Fi-Exchange-OSS/Suite-3-Performance-Testing | a15efafd5b209b6a82a84c7ee6bce215470dfd21 | [
"Apache-2.0"
] | null | null | null | edfi_performance/api/client/program.py | Ed-Fi-Exchange-OSS/Suite-3-Performance-Testing | a15efafd5b209b6a82a84c7ee6bce215470dfd21 | [
"Apache-2.0"
] | 10 | 2021-03-20T05:02:17.000Z | 2022-03-30T17:19:35.000Z | edfi_performance/api/client/program.py | Ed-Fi-Exchange-OSS/Ed-Fi-X-ODS-Performance | 05678a2c8c314d69a5e6b9ed3040800835b91582 | [
"Apache-2.0"
] | 1 | 2022-03-25T09:09:32.000Z | 2022-03-25T09:09:32.000Z | # SPDX-License-Identifier: Apache-2.0
# Licensed to the Ed-Fi Alliance under one or more agreements.
# The Ed-Fi Alliance licenses this file to you under the Apache License, Version 2.0.
# See the LICENSE and NOTICES files in the project root for more information.
| 33.5 | 94 | 0.741791 | # SPDX-License-Identifier: Apache-2.0
# Licensed to the Ed-Fi Alliance under one or more agreements.
# The Ed-Fi Alliance licenses this file to you under the Apache License, Version 2.0.
# See the LICENSE and NOTICES files in the project root for more information.
from edfi_performance.api.client import EdFiAPIClient... | 3 | 232 | 0 | 93 | 0 | 0 | 0 | 32 | 46 |
be0b863b6210332c5f694178c6c5e1a344f02c2d | 11,155 | py | Python | qcodes/instrument/group_parameter.py | zhinst/Qcodes | d95798bd08d57bb8cddd460fdb4a5ff25f19215c | [
"MIT"
] | null | null | null | qcodes/instrument/group_parameter.py | zhinst/Qcodes | d95798bd08d57bb8cddd460fdb4a5ff25f19215c | [
"MIT"
] | null | null | null | qcodes/instrument/group_parameter.py | zhinst/Qcodes | d95798bd08d57bb8cddd460fdb4a5ff25f19215c | [
"MIT"
] | null | null | null | """
This module implements a :class:`.Group` intended to hold multiple
parameters that are to be gotten and set by the same command. The parameters
should be of type :class:`GroupParameter`
"""
| 43.917323 | 83 | 0.593994 | """
This module implements a :class:`.Group` intended to hold multiple
parameters that are to be gotten and set by the same command. The parameters
should be of type :class:`GroupParameter`
"""
from collections import OrderedDict
from typing import List, Union, Callable, Dict, Any, Optional
from qcodes.instrument.pa... | 0 | 0 | 0 | 10,714 | 0 | 0 | 0 | 108 | 136 |
7b64a1d74f4562bcf1b39ef8fa3408b2bf655855 | 832 | py | Python | morsecode_core.py | hemendrarajawat/the-morse-code | 4b98461a24ce32823c258e00d30d5d7f4ec526b4 | [
"MIT"
] | null | null | null | morsecode_core.py | hemendrarajawat/the-morse-code | 4b98461a24ce32823c258e00d30d5d7f4ec526b4 | [
"MIT"
] | 3 | 2020-08-09T16:01:13.000Z | 2020-08-13T20:56:32.000Z | morsecode_core.py | hemendrarajawat/the-morse-code | 4b98461a24ce32823c258e00d30d5d7f4ec526b4 | [
"MIT"
] | null | null | null |
# This function takes the text message and returns the converted morse code.
# This function takes the morse code cipher and returns the text message.
| 25.212121 | 103 | 0.629808 | from morsecode_dict import MORSE_CODE_DICT
# This function takes the text message and returns the converted morse code.
def encrypt(message):
if message == None:
return None
cipher = ''
for letter in message:
if letter in MORSE_CODE_DICT:
cipher += MORSE_CODE_DICT[letter] + ' ... | 0 | 0 | 0 | 0 | 0 | 591 | 0 | 21 | 66 |
d2b75dc0c2b262d3161091c616545ecdc6f5e590 | 6,611 | py | Python | bin/analysis/cpa/base.py | ncbray/pystream | 70bba5646d6512adb6803564c22268d3424c66d8 | [
"Apache-2.0"
] | 6 | 2015-09-19T18:22:33.000Z | 2020-11-29T15:21:17.000Z | bin/analysis/cpa/base.py | ncbray/pystream | 70bba5646d6512adb6803564c22268d3424c66d8 | [
"Apache-2.0"
] | 1 | 2015-08-04T08:03:46.000Z | 2015-08-04T08:03:46.000Z | bin/analysis/cpa/base.py | ncbray/pystream | 70bba5646d6512adb6803564c22268d3424c66d8 | [
"Apache-2.0"
] | 1 | 2019-12-09T08:27:09.000Z | 2019-12-09T08:27:09.000Z | # Copyright 2011 Nicholas Bray
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | 32.092233 | 95 | 0.736651 | # Copyright 2011 Nicholas Bray
#
# 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... | 0 | 0 | 0 | 4,551 | 0 | 1,056 | 0 | 71 | 159 |
b9bacc2481c9974fbeaa405140db367d9099a2bd | 901 | py | Python | pyckaxe/lib/types.py | Arcensoth/pyckaxe | 09ed0828d6660a233b827721454293579329991b | [
"MIT"
] | 3 | 2018-09-23T05:16:44.000Z | 2021-12-23T03:06:07.000Z | pyckaxe/lib/types.py | Arcensoth/pyckaxe | 09ed0828d6660a233b827721454293579329991b | [
"MIT"
] | 5 | 2018-07-11T02:31:56.000Z | 2018-07-11T03:15:05.000Z | pyckaxe/lib/types.py | Arcensoth/pyckaxe | 09ed0828d6660a233b827721454293579329991b | [
"MIT"
] | null | null | null | from typing import Dict, List, Tuple, Union
__all__ = ("JsonValue",)
# +-------------------+---------------+
# | Python | JSON |
# +===================+===============+
# | dict | object |
# +-------------------+---------------+
# | list, tuple | array |
# +------... | 28.15625 | 43 | 0.231964 | from typing import Dict, List, Tuple, Union
__all__ = ("JsonValue",)
# +-------------------+---------------+
# | Python | JSON |
# +===================+===============+
# | dict | object |
# +-------------------+---------------+
# | list, tuple | array |
# +------... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
deadabfe30899a7eca3fb028f0379ad17a46d16c | 253 | py | Python | api/urls.py | TurboKach/cybercrime_ip_api | 7d8d1b1f97edf1bf1b2540011bb53843c385d677 | [
"MIT"
] | null | null | null | api/urls.py | TurboKach/cybercrime_ip_api | 7d8d1b1f97edf1bf1b2540011bb53843c385d677 | [
"MIT"
] | 5 | 2021-03-30T13:59:06.000Z | 2021-09-22T19:22:54.000Z | api/urls.py | TurboKach/cybercrime_ip_api | 7d8d1b1f97edf1bf1b2540011bb53843c385d677 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import get_ips, get_lists, update_lists
urlpatterns = {
path('ip', get_ips, name="get_ips"),
path('list', get_lists, name="get_lists"),
path('management/update', update_lists, name='update_lists')
} | 28.111111 | 64 | 0.711462 | from django.urls import path
from .views import get_ips, get_lists, update_lists
urlpatterns = {
path('ip', get_ips, name="get_ips"),
path('list', get_lists, name="get_lists"),
path('management/update', update_lists, name='update_lists')
} | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
83ca112c323409597b83767b3c967d4eb1c00d4b | 4,445 | py | Python | python/setup.py | justinjaywang/triton | 1c48bd623e2eac026d1f08fc4863bfd514d42922 | [
"MIT"
] | null | null | null | python/setup.py | justinjaywang/triton | 1c48bd623e2eac026d1f08fc4863bfd514d42922 | [
"MIT"
] | null | null | null | python/setup.py | justinjaywang/triton | 1c48bd623e2eac026d1f08fc4863bfd514d42922 | [
"MIT"
] | null | null | null | import distutils
from setuptools import setup
setup(
name="triton",
version="1.0.0",
author="Philippe Tillet",
author_email="phil@openai.com",
description="A language and compiler for custom Deep Learning operations",
long_description="",
packages=["triton", "triton/_C", "triton/tools", "... | 37.352941 | 122 | 0.631721 | import os
import re
import sys
import sysconfig
import platform
import subprocess
import distutils
import glob
import tempfile
import shutil
from distutils.version import LooseVersion
from setuptools import setup, Extension, find_packages
from setuptools.command.build_ext import build_ext
from setuptools.command.test i... | 0 | 0 | 0 | 3,040 | 0 | 0 | 0 | 30 | 376 |
03a3ad7e49d7a739bd0e08684f1185acc132f1ae | 113 | py | Python | 8kyu/Remove String Spaces.py | walkgo/codewars_tasks | 4c0ab6f0e1d2181318fc15b12dd55ef565ecd223 | [
"MIT"
] | null | null | null | 8kyu/Remove String Spaces.py | walkgo/codewars_tasks | 4c0ab6f0e1d2181318fc15b12dd55ef565ecd223 | [
"MIT"
] | null | null | null | 8kyu/Remove String Spaces.py | walkgo/codewars_tasks | 4c0ab6f0e1d2181318fc15b12dd55ef565ecd223 | [
"MIT"
] | null | null | null |
# Best Practices
| 14.125 | 29 | 0.575221 | def no_space(x):
return x.replace(' ', '')
# Best Practices
def no_space(x):
return x.replace(' ', '')
| 0 | 0 | 0 | 0 | 0 | 50 | 0 | 0 | 44 |
ddabfc5eda43f1cb96b59efd7db5ff2afa68421c | 3,872 | py | Python | makeRT.py | IIP17-TeamRT/GA_MakeRT | e79eff1f6010c72ed508e2e0afe2ecee11e965c0 | [
"MIT"
] | null | null | null | makeRT.py | IIP17-TeamRT/GA_MakeRT | e79eff1f6010c72ed508e2e0afe2ecee11e965c0 | [
"MIT"
] | null | null | null | makeRT.py | IIP17-TeamRT/GA_MakeRT | e79eff1f6010c72ed508e2e0afe2ecee11e965c0 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import random
from deap import base
from deap import creator
from deap import tools
if __name__ == "__main__":
creator.create("FitnessMax", base.Fitness, weights=(1.0,))
creator.create("Individual", list, fitness=creator.FitnessMax)
img_ans = plt.imread('TAsample2.png'... | 30.976 | 78 | 0.620868 | import numpy as np
import matplotlib.pyplot as plt
import random
from deap import base
from deap import creator
from deap import tools
def evalOneMax(individual):
arrayind = np.array(individual)
hitpoint = 0
for i in range(40*30):
hitpoint = hitpoint+(1-abs(img_ans[i]-arrayind[i]))
return hit... | 0 | 0 | 0 | 0 | 0 | 2,622 | 0 | -3 | 91 |
7d3276f5bbf1ab18d0235933204676af90175dcf | 648 | py | Python | main.py | RafalSladek/who_parser | 5e541f120d1484f4a3fe01c47b41e4f48aa2278c | [
"MIT"
] | null | null | null | main.py | RafalSladek/who_parser | 5e541f120d1484f4a3fe01c47b41e4f48aa2278c | [
"MIT"
] | null | null | null | main.py | RafalSladek/who_parser | 5e541f120d1484f4a3fe01c47b41e4f48aa2278c | [
"MIT"
] | null | null | null | from datetime import datetime
from callWHODataAPI import WHODataAPI
from s3Upload import S3Uploader
s3_uploader = S3Uploader(WHODataAPI())
all_buckets = s3_uploader.get_all_buckets()
print_list(all_buckets)
response = s3_uploader.apiClient.get_who_dimensions()
myBucket = s3_uploader.get_target_bu... | 23.142857 | 83 | 0.759259 | from datetime import datetime
from callWHODataAPI import WHODataAPI
from s3Upload import S3Uploader
def print_list(collection):
for item in collection:
print(item)
s3_uploader = S3Uploader(WHODataAPI())
all_buckets = s3_uploader.get_all_buckets()
print_list(all_buckets)
response = s... | 0 | 0 | 0 | 0 | 0 | 56 | 0 | 0 | 25 |
d7772566ba9c3682c2cbc314871198ab164fb983 | 641 | py | Python | apppics/migrations/0004_auto_20210603_1723.py | JKimani77/pics | 29d9f4459a80f42eb058a4956e703e7c460b9e7e | [
"MIT"
] | null | null | null | apppics/migrations/0004_auto_20210603_1723.py | JKimani77/pics | 29d9f4459a80f42eb058a4956e703e7c460b9e7e | [
"MIT"
] | null | null | null | apppics/migrations/0004_auto_20210603_1723.py | JKimani77/pics | 29d9f4459a80f42eb058a4956e703e7c460b9e7e | [
"MIT"
] | null | null | null | # Generated by Django 3.2.3 on 2021-06-03 14:23
| 22.892857 | 47 | 0.550702 | # Generated by Django 3.2.3 on 2021-06-03 14:23
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('apppics', '0003_auto_20210601_2304'),
]
operations = [
migrations.AlterModelOptions(
name='location',
options={'ordering': [... | 0 | 0 | 0 | 535 | 0 | 0 | 0 | 11 | 46 |
0ae6b967fe040182a4fa53e342d6e71dca8d8754 | 1,663 | py | Python | data/data_conv/wikipedia_rand_split.py | huonw/nmslib | 2e424ef7c6eff10ecaf47392fd99f93f645e752f | [
"Apache-2.0"
] | 2,031 | 2018-03-29T00:59:55.000Z | 2022-03-31T23:54:33.000Z | data/data_conv/wikipedia_rand_split.py | huonw/nmslib | 2e424ef7c6eff10ecaf47392fd99f93f645e752f | [
"Apache-2.0"
] | 262 | 2018-03-29T17:44:53.000Z | 2022-03-31T02:56:40.000Z | data/data_conv/wikipedia_rand_split.py | huonw/nmslib | 2e424ef7c6eff10ecaf47392fd99f93f645e752f | [
"Apache-2.0"
] | 281 | 2018-03-29T13:12:50.000Z | 2022-03-28T15:18:31.000Z | #!/usr/bin/env python
import logging, bz2, random
from gensim import interfaces, matutils
from gensim.corpora import IndexedCorpus
numDoc1 = 0
numRow1 = 0
numCol1 = 0
numDoc2 = 0
numRow2 = 0
numCol2 = 0
split = []
inpObj = matutils.MmReader(bz2.BZ2File('sparse_wiki_tfidf.mm.bz2'))
prob = 0.5
print "The first pass... | 23.097222 | 68 | 0.683103 | #!/usr/bin/env python
import logging, bz2, random
from gensim import interfaces, matutils
from gensim.corpora import IndexedCorpus
numDoc1 = 0
numRow1 = 0
numCol1 = 0
numDoc2 = 0
numRow2 = 0
numCol2 = 0
split = []
inpObj = matutils.MmReader(bz2.BZ2File('sparse_wiki_tfidf.mm.bz2'))
prob = 0.5
print "The first pass... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f859303f8b9c95b06e5df87dfe79360a842e7e97 | 2,299 | py | Python | examples/trajectory_output/run.py | JonnyWideFoot/pd.arcus | a6197a5a2a18c0e3f752e15aa982d1e44d052730 | [
"BSD-4-Clause-UC"
] | null | null | null | examples/trajectory_output/run.py | JonnyWideFoot/pd.arcus | a6197a5a2a18c0e3f752e15aa982d1e44d052730 | [
"BSD-4-Clause-UC"
] | null | null | null | examples/trajectory_output/run.py | JonnyWideFoot/pd.arcus | a6197a5a2a18c0e3f752e15aa982d1e44d052730 | [
"BSD-4-Clause-UC"
] | null | null | null | ## we need the gromacs module for the gromacs file formats
cseed(3)
info()
timer()
## create a water box
ffps = FFParamSet("tip3.ff")
sim = System(ffps)
## create a new molecule (water, TIP3)
mol = NewMolecule(ffps,"TIP3")
boundary = PeriodicBox(18.1500)
## and fill the box with it
sim.solvate_N(mol, boundary ,200... | 23.701031 | 74 | 0.723793 | from pd import *
## we need the gromacs module for the gromacs file formats
from gromacs import *
cseed(3)
info()
timer()
## create a water box
ffps = FFParamSet("tip3.ff")
sim = System(ffps)
## create a new molecule (water, TIP3)
mol = NewMolecule(ffps,"TIP3")
boundary = PeriodicBox(18.1500)
## and fill the box w... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -5 | 44 |
444f094a2b70aa1dd72ce753790849fd87fea685 | 6,239 | py | Python | RoboticsProject/controllers/cameraTest2/cameraTest2.py | MackQian/Robotics1Project | ca611bbd71dcca397a46941d4d40d720c8faa58c | [
"MIT"
] | null | null | null | RoboticsProject/controllers/cameraTest2/cameraTest2.py | MackQian/Robotics1Project | ca611bbd71dcca397a46941d4d40d720c8faa58c | [
"MIT"
] | null | null | null | RoboticsProject/controllers/cameraTest2/cameraTest2.py | MackQian/Robotics1Project | ca611bbd71dcca397a46941d4d40d720c8faa58c | [
"MIT"
] | null | null | null | """cameraTest2 controller."""
# You may need to import some classes of the controller module. Ex:
# from controller import Robot, Motor, DistanceSensor
from controller import Robot
import cv2
from controller import Keyboard
KEY_F=70
# create the Robot instance.
robot = Robot()
# get the time step of the current worl... | 30.286408 | 96 | 0.645777 | """cameraTest2 controller."""
# You may need to import some classes of the controller module. Ex:
# from controller import Robot, Motor, DistanceSensor
from controller import Robot
import cv2
import numpy as np
from controller import Keyboard
from movement_commands import *
from gesture_commands import *
import math... | 0 | 0 | 0 | 0 | 0 | 833 | 0 | 6 | 111 |
500014d7e8f7b198a3b8333c5ffae008404be043 | 2,168 | py | Python | code/processing/HPLC/Enzymes_HPLC_processing.py | daniosro/DMSP | c5ad5b200c2eece611ab6b326a9a93cc3fd421d1 | [
"MIT"
] | null | null | null | code/processing/HPLC/Enzymes_HPLC_processing.py | daniosro/DMSP | c5ad5b200c2eece611ab6b326a9a93cc3fd421d1 | [
"MIT"
] | null | null | null | code/processing/HPLC/Enzymes_HPLC_processing.py | daniosro/DMSP | c5ad5b200c2eece611ab6b326a9a93cc3fd421d1 | [
"MIT"
] | null | null | null | # %%
import numpy as np
import pandas as pd
import math
import matplotlib.animation as animation
from scipy.integrate import odeint
pd.options.mode.chained_assignment = None
import git
# Find home directory for repo
repo = git.Repo("./", search_parent_directories=True)
homedir = repo.working_dir
# %%
# Load data
df_... | 31.42029 | 84 | 0.744004 | # %%
import numpy as np
import pandas as pd
import scipy as sp
import math
import matplotlib.animation as animation
from scipy.integrate import odeint
from numpy import arange
from scipy.integrate import odeint
import scipy.optimize
from scipy.optimize import leastsq
from math import exp
from collections import Ordere... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 67 | 177 |
28fef8e1647ba7b1759f958dca122a2630d37bfe | 1,860 | py | Python | Iris/iris_simples.py | vitorhvmelo/Deep-Learning | 0d1f38b34deef65562451f68ad1742759edfd4a7 | [
"MIT"
] | null | null | null | Iris/iris_simples.py | vitorhvmelo/Deep-Learning | 0d1f38b34deef65562451f68ad1742759edfd4a7 | [
"MIT"
] | null | null | null | Iris/iris_simples.py | vitorhvmelo/Deep-Learning | 0d1f38b34deef65562451f68ad1742759edfd4a7 | [
"MIT"
] | null | null | null | import pandas as pd
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Dense
from sklearn.preprocessing import LabelEncoder #IMPORTA A BIBLIOTECA DO ENCODER
from keras.utils import np_utils #IMPORTA A BIBLIOTECA PARA COMPLEMENTAR O ENCODER
import numpy as n... | 48.947368 | 116 | 0.715591 | import pandas as pd
from sklearn.model_selection import train_test_split
from keras.models import Sequential
from keras.layers import Dense
from sklearn.preprocessing import LabelEncoder #IMPORTA A BIBLIOTECA DO ENCODER
from keras.utils import np_utils #IMPORTA A BIBLIOTECA PARA COMPLEMENTAR O ENCODER
import numpy as n... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0953fd81198b0213a440c648ed5d02d413cae5ef | 1,920 | py | Python | grey1/getData.py | alienemoji/form-templates | ac76d2f38a925f14254f560c652cc781f844e3e9 | [
"MIT"
] | null | null | null | grey1/getData.py | alienemoji/form-templates | ac76d2f38a925f14254f560c652cc781f844e3e9 | [
"MIT"
] | null | null | null | grey1/getData.py | alienemoji/form-templates | ac76d2f38a925f14254f560c652cc781f844e3e9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import cgi
import requests
import json
# Create instance of FieldStorage
form = cgi.FieldStorage()
# Get data from fields
customer_name = str(form.getvalue('customer_name'))
customer_email = str(form.getvalue('customer_email'))
customer_message = str(form.getvalue('message'))
# variables for mail... | 30.47619 | 121 | 0.671354 | #!/usr/bin/env python3
import cgi, cgitb
import smtplib
import requests
import json
# Create instance of FieldStorage
form = cgi.FieldStorage()
# Get data from fields
customer_name = str(form.getvalue('customer_name'))
customer_email = str(form.getvalue('customer_email'))
customer_message = str(form.getvalue('message')... | 0 | 0 | 0 | 0 | 0 | 530 | 0 | 0 | 45 |
54cd5fa45323d5d7b3dc31179bdaaaa88d2e6cb8 | 1,702 | py | Python | migrations/versions/c11ac992c04a_add_linelist_deaths_schema.py | chong601/moh-covid19-api | b762755e9ff5bb11b99102d305753dcd6122afbe | [
"MIT"
] | 1 | 2021-09-15T13:49:05.000Z | 2021-09-15T13:49:05.000Z | migrations/versions/c11ac992c04a_add_linelist_deaths_schema.py | chong601/moh-covid19-api | b762755e9ff5bb11b99102d305753dcd6122afbe | [
"MIT"
] | 2 | 2021-08-15T07:56:20.000Z | 2021-08-17T22:41:44.000Z | migrations/versions/c11ac992c04a_add_linelist_deaths_schema.py | chong601/moh-covid19-api | b762755e9ff5bb11b99102d305753dcd6122afbe | [
"MIT"
] | null | null | null | """Add linelist_deaths schema
Revision ID: c11ac992c04a
Revises: ffec75dfdadd
Create Date: 2021-09-19 07:54:19.691798
"""
# revision identifiers, used by Alembic.
revision = 'c11ac992c04a'
down_revision = 'ffec75dfdadd'
branch_labels = None
depends_on = None
| 38.681818 | 96 | 0.684489 | """Add linelist_deaths schema
Revision ID: c11ac992c04a
Revises: ffec75dfdadd
Create Date: 2021-09-19 07:54:19.691798
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'c11ac992c04a'
down_revision = 'ffec75dfdadd'
branch_labels = None
depends_on = None
def upgr... | 0 | 0 | 0 | 0 | 0 | 1,344 | 0 | 3 | 90 |
b347a4d5cd80c12032d6b06650ca6cec8f910c91 | 120 | py | Python | Lista1/ex004.py | Palhares17/Python_Exercicios_UFV | 8370e02a52b024a4170d11b1ec95c1c97851f09a | [
"MIT"
] | null | null | null | Lista1/ex004.py | Palhares17/Python_Exercicios_UFV | 8370e02a52b024a4170d11b1ec95c1c97851f09a | [
"MIT"
] | null | null | null | Lista1/ex004.py | Palhares17/Python_Exercicios_UFV | 8370e02a52b024a4170d11b1ec95c1c97851f09a | [
"MIT"
] | null | null | null | cel = float(input('C = '))
f = cel * 18
fh = f + 32
print(f'A temperatura convertida de {cel} C para F de {fh} ')
| 24 | 65 | 0.575 | cel = float(input('°C = '))
f = cel * 18
fh = f + 32
print(f'A temperatura convertida de {cel} °C para °F é de {fh} ')
| 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3eeffb950045f92594d99ff564882c8460b9b91b | 8,794 | py | Python | fabulous/text.py | techdragon/fabulous | bc6de0f4414cebb4a13f6604c5a2797862e0439d | [
"MIT"
] | 1 | 2019-06-27T13:05:31.000Z | 2019-06-27T13:05:31.000Z | fabulous/text.py | techdragon/fabulous | bc6de0f4414cebb4a13f6604c5a2797862e0439d | [
"MIT"
] | null | null | null | fabulous/text.py | techdragon/fabulous | bc6de0f4414cebb4a13f6604c5a2797862e0439d | [
"MIT"
] | null | null | null | """
fabulous.text
~~~~~~~~~~~~~
I let you print TrueType text to your terminal. The easiest way
to get started with me is by running::
jart@compy:~$ python -m fabulous.text --help
To make things simple, Fabulous comes with my favorite serif,
non-serif, and monospace fonts:
- Ind... | 34.622047 | 76 | 0.598363 | """
fabulous.text
~~~~~~~~~~~~~
I let you print TrueType text to your terminal. The easiest way
to get started with me is by running::
jart@compy:~$ python -m fabulous.text --help
To make things simple, Fabulous comes with my favorite serif,
non-serif, and monospace fonts:
- Ind... | 0 | 1,231 | 0 | 2,912 | 0 | 0 | 0 | 0 | 69 |
fb02e8d13f567ef8220e8e0ad9c102d55b2d4586 | 4,257 | py | Python | dsp_migen/IIR/FIRV2_to_IIR_doesnotworkyet.py | chipmuenk/dsp_nmigen | a2d1109cfd75ec82e738a885dd662bc4eb52ed86 | [
"MIT"
] | 7 | 2020-05-07T18:35:00.000Z | 2021-09-09T14:06:41.000Z | dsp_migen/IIR/FIRV2_to_IIR_doesnotworkyet.py | chipmuenk/dsp_nmigen | a2d1109cfd75ec82e738a885dd662bc4eb52ed86 | [
"MIT"
] | null | null | null | dsp_migen/IIR/FIRV2_to_IIR_doesnotworkyet.py | chipmuenk/dsp_nmigen | a2d1109cfd75ec82e738a885dd662bc4eb52ed86 | [
"MIT"
] | null | null | null | from scipy import signal
import matplotlib.pyplot as plt
from migen.fhdl import verilog
import numpy
sample = 5000 #Number of Samples
Fs = 5000 #Sample Frequency
fc = 800 #Cutoff frequ
w_c = 2*fc/Fs #Digital Frequ
n = 3 #Order of the filter
# A synthesizable FIR filter.
... | 38.008929 | 138 | 0.573878 | from functools import reduce
from operator import add
from math import cos, pi
from scipy import signal
import matplotlib.pyplot as plt
from migen import *
from migen.fhdl import verilog
import numpy
sample = 5000 #Number of Samples
Fs = 5000 #Sample Frequency
fc = 800 #Cutoff frequ
w_c = 2... | 8 | 0 | 0 | 1,566 | 679 | 0 | 0 | 11 | 134 |
eafabb771d5e41de7137e3688f28f16761bf3c24 | 8,317 | py | Python | ted_adapter/test_adapter.py | bubblesupreme/infrastructure | b33534f1d7a21c7af81bde171abe149c31e0406d | [
"MIT"
] | null | null | null | ted_adapter/test_adapter.py | bubblesupreme/infrastructure | b33534f1d7a21c7af81bde171abe149c31e0406d | [
"MIT"
] | null | null | null | ted_adapter/test_adapter.py | bubblesupreme/infrastructure | b33534f1d7a21c7af81bde171abe149c31e0406d | [
"MIT"
] | null | null | null | # Copyright (c) 2018 Intel Corporation
#
# 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, d... | 36.47807 | 113 | 0.649032 | # Copyright (c) 2018 Intel Corporation
#
# 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, d... | 0 | 0 | 0 | 4,256 | 0 | 252 | 0 | -6 | 184 |
73131a9ee618e5b2c54a7d389f922e646494165f | 754 | py | Python | textattack/constraints/pre_transformation/__init__.py | srujanjoshi/TextAttack | b86d0f840b6f13b1eb8d0f17b3fceeeca62b08ed | [
"MIT"
] | 1,980 | 2020-04-17T23:43:55.000Z | 2022-03-31T19:22:17.000Z | textattack/constraints/pre_transformation/__init__.py | srujanjoshi/TextAttack | b86d0f840b6f13b1eb8d0f17b3fceeeca62b08ed | [
"MIT"
] | 350 | 2020-04-23T22:34:04.000Z | 2022-03-29T20:57:22.000Z | textattack/constraints/pre_transformation/__init__.py | srujanjoshi/TextAttack | b86d0f840b6f13b1eb8d0f17b3fceeeca62b08ed | [
"MIT"
] | 267 | 2020-04-30T16:55:36.000Z | 2022-03-31T18:59:46.000Z | """.. _pre_transformation:
Pre-Transformation:
---------------------
Pre-transformation constraints determine if a transformation is valid based on only the original input and the position of the replacement. These constraints are applied before the transformation is even called. For example, these constraints can pr... | 53.857143 | 343 | 0.834218 | """.. _pre_transformation:
Pre-Transformation:
---------------------
Pre-transformation constraints determine if a transformation is valid based on only the original input and the position of the replacement. These constraints are applied before the transformation is even called. For example, these constraints can pr... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 203 | 132 |
9e0ab3555c07729d27c420dd0734f2e323dae371 | 502 | py | Python | CropImg.py | ichbinkk/Conformer | 7faa3051cf5f6aff91f9540d6f9be57674cbcce7 | [
"Apache-2.0"
] | null | null | null | CropImg.py | ichbinkk/Conformer | 7faa3051cf5f6aff91f9540d6f9be57674cbcce7 | [
"Apache-2.0"
] | null | null | null | CropImg.py | ichbinkk/Conformer | 7faa3051cf5f6aff91f9540d6f9be57674cbcce7 | [
"Apache-2.0"
] | null | null | null | from PIL import Image
import os
image_file_path = '../dataset/lec'
out = '../dataset/lattice_ec'
for root, dirs_name, files_name in os.walk(image_file_path):
for i in files_name:
if i.split('.')[-1] == 'png':
file_name = os.path.join(root, i)
print(file_name)
... | 31.375 | 83 | 0.551793 | from PIL import Image
import os
image_file_path = '../dataset/lec'
out = '../dataset/lattice_ec'
for root, dirs_name, files_name in os.walk(image_file_path):
for i in files_name:
if i.split('.')[-1] == 'png':
file_name = os.path.join(root, i)
print(file_name)
... | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
698de7a7d37055d4b7c705aa878cbfca1040c47e | 1,283 | py | Python | bulk_whois.py | levcovenant/bulk_stuff | 93a1eedf63229244ffbbd4868ba220b427493518 | [
"MIT"
] | null | null | null | bulk_whois.py | levcovenant/bulk_stuff | 93a1eedf63229244ffbbd4868ba220b427493518 | [
"MIT"
] | null | null | null | bulk_whois.py | levcovenant/bulk_stuff | 93a1eedf63229244ffbbd4868ba220b427493518 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import pythonwhois
import csv
import time
with open('bulk_whois_results.csv', 'w+', newline="") as outfile:
w = csv.writer(outfile)
w.writerow(['Domain Name', 'Registrar', 'Expiration Date', 'Nameservers'])
# outfile.close()
result_list = []
with open('domain_list', 'r') as f:
for... | 29.159091 | 80 | 0.559626 | #!/usr/bin/python3
import pythonwhois
import csv
import time
with open('bulk_whois_results.csv', 'w+', newline="") as outfile:
w = csv.writer(outfile)
w.writerow(['Domain Name', 'Registrar', 'Expiration Date', 'Nameservers'])
# outfile.close()
result_list = []
with open('domain_list', 'r') as f:
for... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
af3730efdaf17c667213f31f0a0206220aa3b6c1 | 2,325 | py | Python | src/users/models/microsoftgraphitem_action_set.py | peombwa/Sample-Graph-Python-Client | 3396f531fbe6bb40a740767c4e31aee95a3b932e | [
"MIT"
] | null | null | null | src/users/models/microsoftgraphitem_action_set.py | peombwa/Sample-Graph-Python-Client | 3396f531fbe6bb40a740767c4e31aee95a3b932e | [
"MIT"
] | null | null | null | src/users/models/microsoftgraphitem_action_set.py | peombwa/Sample-Graph-Python-Client | 3396f531fbe6bb40a740767c4e31aee95a3b932e | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
| 38.114754 | 152 | 0.606452 | # coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
# --------------------------------------------------------------------------
from ... | 0 | 0 | 0 | 1,947 | 0 | 0 | 0 | 17 | 46 |
76cc191057b6039eee9b2bba962d42ed49397513 | 2,741 | py | Python | planemo/tools.py | pvanheus/planemo | 12c4256325bb1b274dcd40d64b91c1f832cf49b1 | [
"CC-BY-3.0"
] | null | null | null | planemo/tools.py | pvanheus/planemo | 12c4256325bb1b274dcd40d64b91c1f832cf49b1 | [
"CC-BY-3.0"
] | 1 | 2016-09-14T18:09:59.000Z | 2016-09-14T18:09:59.000Z | planemo/tools.py | jmchilton/planemo | d352a085fe10cb6b7c1384663b114201da42d97b | [
"CC-BY-3.0"
] | null | null | null | """Planemo-specific wrappers around galaxy-tool-util tool functionality."""
from __future__ import absolute_import
from galaxy.tool_util import loader_directory
is_tool_load_error = loader_directory.is_tool_load_error
SKIP_XML_MESSAGE = "Skipping XML file - does not appear to be a tool %s."
SHED_FILES = ["tool_depend... | 29.473118 | 111 | 0.699745 | """Planemo-specific wrappers around galaxy-tool-util tool functionality."""
from __future__ import absolute_import
import os
import sys
import traceback
from galaxy.tool_util import loader_directory
from galaxy.tool_util.fetcher import ToolLocationFetcher
from planemo.io import error, info
is_tool_load_error = load... | 0 | 0 | 0 | 0 | 899 | 691 | 0 | 20 | 250 |
2cf9df5fd4f026fe513cf3c7b67fbde3a12f40fa | 2,512 | py | Python | Jetbrain/user/views.py | uyo-obong/jetbrain_django | 63f267efadb148f1c5afcce3801b3ff173a1dabf | [
"MIT"
] | null | null | null | Jetbrain/user/views.py | uyo-obong/jetbrain_django | 63f267efadb148f1c5afcce3801b3ff173a1dabf | [
"MIT"
] | null | null | null | Jetbrain/user/views.py | uyo-obong/jetbrain_django | 63f267efadb148f1c5afcce3801b3ff173a1dabf | [
"MIT"
] | null | null | null | from . forms.user_forms import SignUp, UpdateUser, UpdateProfile
| 31.4 | 93 | 0.634952 | from django.contrib import messages
from django.shortcuts import render, redirect
from Jetbrain.blog.models import Post
from . forms.user_forms import SignUp, UpdateUser, UpdateProfile
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
@login_require... | 0 | 818 | 0 | 0 | 0 | 1,294 | 0 | 128 | 203 |
cad636939b9f995bef017fe5379fdca7fb4ccee7 | 927 | py | Python | piws/views/ldapfeed.py | neurospin/piws | 4ec6f60c6343623a82761c90c74642b4b372ffd1 | [
"CECILL-B"
] | null | null | null | piws/views/ldapfeed.py | neurospin/piws | 4ec6f60c6343623a82761c90c74642b4b372ffd1 | [
"CECILL-B"
] | 9 | 2015-05-18T09:04:35.000Z | 2017-03-24T10:47:23.000Z | piws/views/ldapfeed.py | neurospin/piws | 4ec6f60c6343623a82761c90c74642b4b372ffd1 | [
"CECILL-B"
] | 17 | 2015-03-16T08:27:47.000Z | 2017-08-04T16:26:29.000Z | ##########################################################################
# NSAp - Copyright (C) CEA, 2017
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
# for details.
##########... | 37.08 | 76 | 0.609493 | ##########################################################################
# NSAp - Copyright (C) CEA, 2017
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
# for details.
##########... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6ab2ff75139a278f5c82790cdc8bef2c78451bf5 | 2,105 | py | Python | 1.taobao_login/login.py | zhaoxilingcheng/examples-of-crawlers | e8959e321bef621037583cfd990d44150a00216b | [
"MIT"
] | 3 | 2020-06-15T01:55:42.000Z | 2020-06-23T05:09:25.000Z | 1.taobao_login/login.py | zhaoxilingcheng/examples-of-crawlers | e8959e321bef621037583cfd990d44150a00216b | [
"MIT"
] | null | null | null | 1.taobao_login/login.py | zhaoxilingcheng/examples-of-crawlers | e8959e321bef621037583cfd990d44150a00216b | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
#
#
binary_location = '../chromedriver'
login_and_get_cookie('username', 'password')
| 35.083333 | 103 | 0.71734 | from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver import ActionChains
import time
def login_and_get_cookie(username, password):
options = webdri... | 219 | 0 | 0 | 0 | 0 | 1,624 | 0 | 120 | 155 |
daf8233138ed6a681ff4acf570a7deea8f47b76f | 853 | py | Python | np/reference/ch9code/logy.py | focusunsink/study_python | 322326642db54df8725793d70a95d21ac40b6507 | [
"MIT"
] | null | null | null | np/reference/ch9code/logy.py | focusunsink/study_python | 322326642db54df8725793d70a95d21ac40b6507 | [
"MIT"
] | null | null | null | np/reference/ch9code/logy.py | focusunsink/study_python | 322326642db54df8725793d70a95d21ac40b6507 | [
"MIT"
] | null | null | null | from matplotlib.finance import quotes_historical_yahoo
from matplotlib.dates import DateFormatter
from matplotlib.dates import DayLocator
from matplotlib.dates import MonthLocator
import sys
from datetime import date
import matplotlib.pyplot as plt
import numpy as np
today = date.today()
start = (today.year - 1, today... | 23.694444 | 54 | 0.763189 | from matplotlib.finance import quotes_historical_yahoo
from matplotlib.dates import DateFormatter
from matplotlib.dates import DayLocator
from matplotlib.dates import MonthLocator
import sys
from datetime import date
import matplotlib.pyplot as plt
import numpy as np
today = date.today()
start = (today.year - 1, today... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e1defe47a41473ce9a54e7d288e8c4efb660b97e | 8,994 | py | Python | Keras_Impl/Networks/RPN/utils.py | dimartinot/bunch_of_networks | 4f9c425e8fb0bca5bf47de9424a744d2fac310e2 | [
"MIT"
] | null | null | null | Keras_Impl/Networks/RPN/utils.py | dimartinot/bunch_of_networks | 4f9c425e8fb0bca5bf47de9424a744d2fac310e2 | [
"MIT"
] | 11 | 2020-01-28T22:43:13.000Z | 2022-03-11T23:46:41.000Z | Keras_Impl/Networks/RPN/utils.py | dimartinot/bunch_of_networks | 4f9c425e8fb0bca5bf47de9424a744d2fac310e2 | [
"MIT"
] | null | null | null | """
/!\ Code not made by me, got from https://github.com/dongjk/faster_rcnn_keras/blob/master/utils.py
"""
import numpy as np
def generate_anchors(base_width=16, base_height=16, ratios=[0.5, 1, 2],
scales=np.asarray([3,6,12])):
"""
Generate anchor (reference) windows by enumeratin... | 30.80137 | 118 | 0.565266 | """
/!\ Code not made by me, got from https://github.com/dongjk/faster_rcnn_keras/blob/master/utils.py
"""
import sys
import numpy as np
import keras.backend as K
import xml.etree.ElementTree as ET
from PIL import Image, ImageDraw
def parse_label(xml_file):
try:
tree = ET.parse(xml_file)
except ... | 0 | 0 | 0 | 0 | 0 | 3,802 | 0 | 17 | 227 |
a044fdb4f97128fbe19d4ab302f4228b31ff462b | 387 | py | Python | example2.py | mariolpantunes/optimization | 353c90384f2ab2069151d861037f7ad41dbde9f4 | [
"MIT"
] | null | null | null | example2.py | mariolpantunes/optimization | 353c90384f2ab2069151d861037f7ad41dbde9f4 | [
"MIT"
] | 1 | 2022-01-10T14:29:49.000Z | 2022-01-10T14:29:49.000Z | example2.py | mariolpantunes/optimization | 353c90384f2ab2069151d861037f7ad41dbde9f4 | [
"MIT"
] | null | null | null | import logging
import numpy as np
import optimization.de as de
logging.basicConfig(level=logging.INFO, format='%(message)s')
logger = logging.getLogger(__name__)
# define objective function
bounds = np.asarray([(-5.0, 5.0)])
solution = de.differential_evolution(f, bounds, n_iter=1, debug=True)
logger.info(f'F({solut... | 25.8 | 69 | 0.72093 | import logging
import numpy as np
import optimization.de as de
logging.basicConfig(level=logging.INFO, format='%(message)s')
logger = logging.getLogger(__name__)
# define objective function
def f(x):
return np.power(x, 2)[0]
bounds = np.asarray([(-5.0, 5.0)])
solution = de.differential_evolution(f, bounds, n_ite... | 0 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 22 |
4006d7c2ac93c8bc463e38137d9e93d9dd6cedbc | 1,312 | py | Python | stonesoup/resampler/particle.py | JPompeus/Stone-Soup | 030c60aaf5ff92d7bb53f06e350c0bf58c9af037 | [
"MIT"
] | 1 | 2021-04-13T11:47:42.000Z | 2021-04-13T11:47:42.000Z | stonesoup/resampler/particle.py | JPompeus/Stone-Soup | 030c60aaf5ff92d7bb53f06e350c0bf58c9af037 | [
"MIT"
] | null | null | null | stonesoup/resampler/particle.py | JPompeus/Stone-Soup | 030c60aaf5ff92d7bb53f06e350c0bf58c9af037 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
| 28.521739 | 73 | 0.589939 | # -*- coding: utf-8 -*-
import numpy as np
from .base import Resampler
from ..types.numeric import Probability
from ..types.particle import Particle
class SystematicResampler(Resampler):
def resample(self, particles):
"""Resample the particles
Parameters
----------
particles : l... | 0 | 0 | 0 | 1,138 | 0 | 0 | 0 | 37 | 112 |
735f2178cada59be725d3a137aede5b87046b436 | 6,731 | py | Python | nextfeed/settings/base.py | Nurdok/nextfeed | 197818310bbf7134badc2ef5ed11ab5ede7fdb35 | [
"MIT"
] | 1 | 2015-08-09T10:42:04.000Z | 2015-08-09T10:42:04.000Z | nextfeed/settings/base.py | Nurdok/nextfeed | 197818310bbf7134badc2ef5ed11ab5ede7fdb35 | [
"MIT"
] | null | null | null | nextfeed/settings/base.py | Nurdok/nextfeed | 197818310bbf7134badc2ef5ed11ab5ede7fdb35 | [
"MIT"
] | null | null | null | # Django settings for nextfeed project.
import os
import djcelery
djcelery.setup_loader()
PROJECT_PATH = os.path.dirname(os.path.abspath(__file__))
DEBUG = True
TEMPLATE_DEBUG = True
ADMINS = (
# ('Your Name', 'your_email@example.com'),
("Amir Rachum", "amir@rachum.com"),
)
SERVER_EMAIL = 'webmaster@nextfee... | 29.651982 | 88 | 0.712376 | # Django settings for nextfeed project.
import os
import djcelery
djcelery.setup_loader()
PROJECT_PATH = os.path.dirname(os.path.abspath(__file__))
DEBUG = True
TEMPLATE_DEBUG = True
ADMINS = (
# ('Your Name', 'your_email@example.com'),
("Amir Rachum", "amir@rachum.com"),
)
SERVER_EMAIL = 'webmaster@nextfee... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1de47343ccdf37016f6f01d6492953b8da7a5b7d | 3,090 | py | Python | tests/test_small_task.py | dwr-psandhu/azure_dms_batch | 5a2d847bfabeea61fbb49389291cef041e14093a | [
"MIT"
] | 1 | 2021-12-21T23:19:59.000Z | 2021-12-21T23:19:59.000Z | tests/test_small_task.py | dwr-psandhu/azure_dms_batch | 5a2d847bfabeea61fbb49389291cef041e14093a | [
"MIT"
] | null | null | null | tests/test_small_task.py | dwr-psandhu/azure_dms_batch | 5a2d847bfabeea61fbb49389291cef041e14093a | [
"MIT"
] | 1 | 2021-12-17T21:30:48.000Z | 2021-12-17T21:30:48.000Z | """
Run a small task by
* Uploading files
* Creating a pool and a job
* Creating a task and submitting it
* Waiting till end of task
* Retrieving files and checking
"""
| 35.517241 | 104 | 0.717152 | """
Run a small task by
* Uploading files
* Creating a pool and a job
* Creating a task and submitting it
* Waiting till end of task
* Retrieving files and checking
"""
import pytest
import datetime
import dmsbatch
from tests.test_blob_client import container_name
@pytest.fixture()
def cont... | 0 | 2,705 | 0 | 0 | 0 | 0 | 0 | 8 | 180 |
b1f745b1c79b6c976bde714c753f55467b71dc7f | 718 | py | Python | Chapter07/multithreading/thread1-extra.py | MichaelRW/Python-for-Geeks | a111f61f1a0b077fc0524431e1ccefd9214d5c53 | [
"MIT"
] | 31 | 2020-08-10T22:37:41.000Z | 2022-03-09T21:35:56.000Z | Chapter07/multithreading/thread1-extra.py | MichaelRW/Python-for-Geeks | a111f61f1a0b077fc0524431e1ccefd9214d5c53 | [
"MIT"
] | null | null | null | Chapter07/multithreading/thread1-extra.py | MichaelRW/Python-for-Geeks | a111f61f1a0b077fc0524431e1ccefd9214d5c53 | [
"MIT"
] | 21 | 2020-08-10T22:37:44.000Z | 2022-03-07T07:26:28.000Z | # thread1-extra.py to create simple threads with function (using threads list to simplly the code)
from threading import Thread as Thread
threads = []
# creating threads
threads.append(Thread(target=print_hello, name="Th 1"))
threads.append(Thread(target=print_hello, name="Th 2"))
threads.append(Thread(target=print_me... | 25.642857 | 98 | 0.720056 | # thread1-extra.py to create simple threads with function (using threads list to simplly the code)
import threading
from threading import Thread as Thread
from time import sleep
def print_hello():
sleep(2)
print("{}: Hello".format(threading.current_thread().name))
def print_message(msg):
sleep(1)
pri... | 0 | 0 | 0 | 0 | 0 | 153 | 0 | -4 | 91 |
34f192fa240388ab9923637201c74705edff7735 | 1,038 | py | Python | remove_cloze_from_field/sentencefromcloze.py | sarajaksa/anki-addons | 01e4cedca0cca1df11202c52c473a8c35eb5f0b8 | [
"Unlicense"
] | 3 | 2017-03-05T21:53:06.000Z | 2019-03-13T09:50:19.000Z | remove_cloze_from_field/sentencefromcloze.py | sarajaksa/anki-addons | 01e4cedca0cca1df11202c52c473a8c35eb5f0b8 | [
"Unlicense"
] | 3 | 2017-03-04T16:24:15.000Z | 2018-11-14T15:20:49.000Z | remove_cloze_from_field/sentencefromcloze.py | sarajaksa/anki-addons | 01e4cedca0cca1df11202c52c473a8c35eb5f0b8 | [
"Unlicense"
] | 1 | 2019-05-12T10:46:25.000Z | 2019-05-12T10:46:25.000Z | from anki.hooks import addHook
clozeField = "Meaning"
finalField = "Expression"
addHook("setupEditorButtons", addSentenceFromClozeButton)
| 28.054054 | 82 | 0.66474 | from anki.hooks import addHook
import re
clozeField = "Meaning"
finalField = "Expression"
def sentenceFromCloze(sentence):
all_cloze = re.findall(r"{{c\d+::.+?}}", sentence)
for cloze in all_cloze:
replace_with = re.findall(r"{{c\d+::.+?::(.+?)}}", cloze)
if replace_with:
replace_... | 0 | 0 | 0 | 0 | 0 | 815 | 0 | -12 | 91 |
87592dea5ecbd99f2fa2f461e577e75a001c77e4 | 3,415 | py | Python | scripts/retired/plot_broken_axes.py | tcrundall/chronostar | bdb5cd965e862ba5cc21bee75d5c8620e106c0cc | [
"MIT"
] | null | null | null | scripts/retired/plot_broken_axes.py | tcrundall/chronostar | bdb5cd965e862ba5cc21bee75d5c8620e106c0cc | [
"MIT"
] | null | null | null | scripts/retired/plot_broken_axes.py | tcrundall/chronostar | bdb5cd965e862ba5cc21bee75d5c8620e106c0cc | [
"MIT"
] | null | null | null | from __future__ import print_function, division
"""
Broken axis example, where the y-axis will have a portion cut out.
"""
import matplotlib.pyplot as plt
import numpy as np
mu1 = 30
sig1 = 1
mu2 = 10
sig2 = 1
pts = np.hstack((np.random.randn(100)*sig1 + mu1, np.random.randn(20)*sig2 + mu2 ))
# # 30 points between [... | 41.646341 | 91 | 0.67672 | from __future__ import print_function, division
"""
Broken axis example, where the y-axis will have a portion cut out.
"""
import matplotlib.pyplot as plt
import numpy as np
mu1 = 30
sig1 = 1
mu2 = 10
sig2 = 1
pts = np.hstack((np.random.randn(100)*sig1 + mu1, np.random.randn(20)*sig2 + mu2 ))
# # 30 points between [... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
286caf6744551a7b42c814024ceb5025c5294a86 | 1,625 | py | Python | main.py | 00p513-dev/projectOne | 7ba7e05e6b6cf678145214bd0faee8477157e642 | [
"MIT"
] | null | null | null | main.py | 00p513-dev/projectOne | 7ba7e05e6b6cf678145214bd0faee8477157e642 | [
"MIT"
] | null | null | null | main.py | 00p513-dev/projectOne | 7ba7e05e6b6cf678145214bd0faee8477157e642 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
The MIT License (MIT)
Copyright (c) 2021 Amy
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,... | 31.25 | 78 | 0.744 | #!/usr/bin/env python3
"""
The MIT License (MIT)
Copyright (c) 2021 Amy
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,... | 0 | 0 | 0 | 0 | 0 | 449 | 0 | -8 | 46 |
cb546c87ee4204c146a145ee9c6949904fec5485 | 2,403 | py | Python | homeassistant/components/nest/device_trigger.py | mib1185/core | b17d4ac65cde9a27ff6032d70b148792e5eba8df | [
"Apache-2.0"
] | null | null | null | homeassistant/components/nest/device_trigger.py | mib1185/core | b17d4ac65cde9a27ff6032d70b148792e5eba8df | [
"Apache-2.0"
] | null | null | null | homeassistant/components/nest/device_trigger.py | mib1185/core | b17d4ac65cde9a27ff6032d70b148792e5eba8df | [
"Apache-2.0"
] | null | null | null | """Provides device automations for Nest."""
from __future__ import annotations
import voluptuous as vol
from homeassistant.components.device_automation import DEVICE_TRIGGER_BASE_SCHEMA
from homeassistant.const import CONF_TYPE
from .events import DEVICE_TRAIT_TRIGGER_MAP
DEVICE = "device"
TRIGGER_TYPES = set(DEVICE... | 31.207792 | 85 | 0.719933 | """Provides device automations for Nest."""
from __future__ import annotations
import voluptuous as vol
from homeassistant.components.automation import (
AutomationActionType,
AutomationTriggerInfo,
)
from homeassistant.components.device_automation import DEVICE_TRIGGER_BASE_SCHEMA
from homeassistant.componen... | 0 | 0 | 1,337 | 0 | 0 | 0 | 0 | 390 | 202 |
8dd2181573a36af606cc0d4ec0cf987b6ce41a04 | 440 | py | Python | app/src/misp.py | nv-pipo/misp-to-sentinel-connector | 2164da855f3514bf60af1e2adf4f4ac9480094f2 | [
"Apache-2.0"
] | 4 | 2021-03-02T02:46:58.000Z | 2022-01-26T16:15:26.000Z | app/src/misp.py | nv-pipo/misp-to-sentinel-connector | 2164da855f3514bf60af1e2adf4f4ac9480094f2 | [
"Apache-2.0"
] | null | null | null | app/src/misp.py | nv-pipo/misp-to-sentinel-connector | 2164da855f3514bf60af1e2adf4f4ac9480094f2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Connector to MISP."""
from pymisp import ExpandedPyMISP
import config
def get_misp_attributes():
'''Method to pull the attributes (IOCs) from MISP server.'''
misp = ExpandedPyMISP(config.MISP_DOMAIN, config.MISP_KEY, config.MISP_VERIFYCERT)
attributes = mis... | 33.846154 | 104 | 0.734091 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Connector to MISP."""
from pymisp import ExpandedPyMISP
import config
def get_misp_attributes():
'''Method to pull the attributes (IOCs) from MISP server.'''
misp = ExpandedPyMISP(config.MISP_DOMAIN, config.MISP_KEY, config.MISP_VERIFYCERT)
attributes = mis... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
812daac18f5d217ec692a0bb591843489ca49da0 | 8,765 | py | Python | samples/simple_consensus_caller/pileup_hdf5_generator.py | ohadmo/VariantWorks | 20d645488d009bd8d29c69739b3e499327c290f9 | [
"Apache-2.0"
] | null | null | null | samples/simple_consensus_caller/pileup_hdf5_generator.py | ohadmo/VariantWorks | 20d645488d009bd8d29c69739b3e499327c290f9 | [
"Apache-2.0"
] | null | null | null | samples/simple_consensus_caller/pileup_hdf5_generator.py | ohadmo/VariantWorks | 20d645488d009bd8d29c69739b3e499327c290f9 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2020 NVIDIA CORPORATION.
#
# 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 ... | 39.129464 | 106 | 0.63514 | #!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2020 NVIDIA CORPORATION.
#
# 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 ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d5ef128295058d5c0311565981be4c150f1cbbe2 | 1,232 | py | Python | printer.py | MarcWarrior/NeteaseMusicDownloader | cca610557a480393977824d72c2cdc86aa6bd66f | [
"MIT"
] | 2 | 2020-03-19T09:52:34.000Z | 2022-01-08T23:39:55.000Z | printer.py | MarcWarrior/NeteaseMusicDownloader | cca610557a480393977824d72c2cdc86aa6bd66f | [
"MIT"
] | null | null | null | printer.py | MarcWarrior/NeteaseMusicDownloader | cca610557a480393977824d72c2cdc86aa6bd66f | [
"MIT"
] | 1 | 2020-03-19T09:52:38.000Z | 2020-03-19T09:52:38.000Z | #!/usr/bin/env python3
# -*-coding:utf-8 -*-
from colorama import init
init()
| 28.651163 | 108 | 0.579545 | #!/usr/bin/env python3
# -*-coding:utf-8 -*-
import os
import time
from colorama import init
from termcolor import cprint
init()
class Printer:
instance = None
def __new__(cls):
if not cls.instance:
cls.instance = super().__new__(cls)
return cls.instance
@staticmethod
d... | 0 | 112 | 0 | 965 | 0 | 0 | 0 | -15 | 89 |
1891cbeb9a52c2f67a3b2f46215c969ccb248f2c | 6,109 | py | Python | rebound/python_examples/longtermtest/problem.py | rodluger/ttv-devil | e534e4f3cd75db951cba54441f7a5458c87e0cf9 | [
"MIT"
] | null | null | null | rebound/python_examples/longtermtest/problem.py | rodluger/ttv-devil | e534e4f3cd75db951cba54441f7a5458c87e0cf9 | [
"MIT"
] | null | null | null | rebound/python_examples/longtermtest/problem.py | rodluger/ttv-devil | e534e4f3cd75db951cba54441f7a5458c87e0cf9 | [
"MIT"
] | null | null | null | # Import the rebound module
import sys
import matplotlib; matplotlib.use("pdf")
import matplotlib.pyplot as plt
import numpy as np
from rebound.interruptible_pool import InterruptiblePool
Ngrid = 500
#3dt = 100.23
orbit = 11.8618*1.*np.pi
dt = orbit/3000.
tmax = orbit*1e2 # Maximum integration time.
integrators... | 36.580838 | 207 | 0.609429 | # Import the rebound module
import sys
import matplotlib; matplotlib.use("pdf")
import matplotlib.pyplot as plt
from matplotlib import ticker
from matplotlib.colors import LogNorm
import rebound
import numpy as np
import time
from rebound.interruptible_pool import InterruptiblePool
import warnings
def simulation(par):... | 0 | 0 | 0 | 0 | 0 | 3,704 | 0 | 1 | 133 |
29a4c6b961b039a113ca0c467cadee5f671056b1 | 2,187 | py | Python | monodromy/io/lrcalc.py | Qiskit/monodromy | 97829c1289c8a79b6ae3ab29eb7f4ad1ea79d5ab | [
"Apache-2.0"
] | 6 | 2022-01-04T19:12:32.000Z | 2022-02-28T05:48:14.000Z | monodromy/io/lrcalc.py | Qiskit/monodromy | 97829c1289c8a79b6ae3ab29eb7f4ad1ea79d5ab | [
"Apache-2.0"
] | null | null | null | monodromy/io/lrcalc.py | Qiskit/monodromy | 97829c1289c8a79b6ae3ab29eb7f4ad1ea79d5ab | [
"Apache-2.0"
] | 1 | 2022-01-05T09:07:23.000Z | 2022-01-05T09:07:23.000Z | """
monodromy/io/lrcalc.py
Extracts quantum Littlewood-Richardson coefficients from the package `lrcalc`.
This package is cumbersome to install, so we provide a prebaked copy of this
table in `qlr_table.py`.
"""
import lrcalc
def qlr(r, k, a, b):
"""
Computes the quantum Littlewood-Richardson coefficients ... | 29.16 | 80 | 0.549154 | """
monodromy/io/lrcalc.py
Extracts quantum Littlewood-Richardson coefficients from the package `lrcalc`.
This package is cumbersome to install, so we provide a prebaked copy of this
table in `qlr_table.py`.
"""
from copy import copy
import lrcalc
def qlr(r, k, a, b):
"""
Computes the quantum Littlewood-R... | 0 | 0 | 0 | 0 | 887 | 0 | 0 | 0 | 46 |
7d5df58d9e6ea1a45dcaa9ff8931c62a25d30dbf | 6,739 | py | Python | examples/runner_battdeg.py | rafyzg/BattDeg | 39ba00e83f2783b3249d002b26794677f8e9f429 | [
"MIT"
] | 10 | 2020-01-15T17:49:52.000Z | 2021-08-01T12:35:02.000Z | examples/runner_battdeg.py | rafyzg/BattDeg | 39ba00e83f2783b3249d002b26794677f8e9f429 | [
"MIT"
] | 19 | 2019-03-08T07:15:09.000Z | 2022-02-10T00:06:21.000Z | examples/runner_battdeg.py | rafyzg/BattDeg | 39ba00e83f2783b3249d002b26794677f8e9f429 | [
"MIT"
] | 13 | 2019-03-05T01:08:08.000Z | 2021-12-15T12:19:54.000Z |
def PL_samples_capacity_cycles(pl_df):
"""
This function finds the capacity in each cycle from the cumulative capacity
in the original file.
Args:
Returns:
"""
return
data_dir = '/home/chintan/uwdirect/chintan/BattDeg/data/PL 12,14'
fnf = 'PL12(4).csv'
ignore_in... | 38.073446 | 111 | 0.677103 | import pandas as pd
import numpy as np
import datetime
import os
import re
from os import listdir
from os.path import isfile, join
import matplotlib.pyplot as plt
import seaborn as sns
@profile
def date_time_converter(date_time_list):
"""
This function gets the numpy array with date_time in matlab format
... | 0 | 6,102 | 0 | 0 | 0 | 0 | 0 | -13 | 249 |
dd09fe2dae7258e64c6bee6ccfe30ca6b0b7e4b7 | 3,016 | py | Python | utuclient/player.py | katajakasa/utuputki2-client | 1bfdaf18f5507108de2255817b654a4b2bf34cf3 | [
"MIT"
] | null | null | null | utuclient/player.py | katajakasa/utuputki2-client | 1bfdaf18f5507108de2255817b654a4b2bf34cf3 | [
"MIT"
] | null | null | null | utuclient/player.py | katajakasa/utuputki2-client | 1bfdaf18f5507108de2255817b654a4b2bf34cf3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
log = logging.getLogger(__name__)
| 30.464646 | 91 | 0.606432 | # -*- coding: utf-8 -*-
from gi.repository import GObject as gobject, Gst as gst, Gtk as gtk, GdkX11, GstVideo
import platform
import logging
log = logging.getLogger(__name__)
class Player(object):
VIDEO = 0
IMAGE = 1
def __init__(self, window, url, cb_finish, cb_error, mode=VIDEO):
self.window... | 0 | 0 | 0 | 2,814 | 0 | 0 | 0 | 59 | 68 |
1158d699a873a4e35d1470483197a439452f8175 | 2,486 | py | Python | tests/test_surround.py | wuub/rxv | da90b758da6e1cd5082bd8931f183662e54b1903 | [
"BSD-3-Clause"
] | 97 | 2015-01-21T07:04:04.000Z | 2021-11-02T15:40:20.000Z | tests/test_surround.py | wuub/rxv | da90b758da6e1cd5082bd8931f183662e54b1903 | [
"BSD-3-Clause"
] | 68 | 2015-02-10T11:53:24.000Z | 2022-03-02T02:20:03.000Z | tests/test_surround.py | wuub/rxv | da90b758da6e1cd5082bd8931f183662e54b1903 | [
"BSD-3-Clause"
] | 49 | 2015-02-07T15:27:38.000Z | 2021-12-29T09:31:41.000Z |
FAKE_IP = '10.0.0.0'
DESC_XML = 'http://%s/YamahaRemoteControl/desc.xml' % FAKE_IP
CTRL_URL = 'http://%s/YamahaRemoteControl/ctrl' % FAKE_IP
| 36.558824 | 92 | 0.641995 | import unittest
import requests_mock
import rxv
FAKE_IP = '10.0.0.0'
DESC_XML = 'http://%s/YamahaRemoteControl/desc.xml' % FAKE_IP
CTRL_URL = 'http://%s/YamahaRemoteControl/ctrl' % FAKE_IP
def sample_content(name):
with open('tests/samples/%s' % name) as f:
return f.read()
class TestSurroundRXV(unittes... | 0 | 2,072 | 0 | 20 | 0 | 75 | 0 | -18 | 193 |
e00754c1b3377a2b65d5833ce458aa6a79274a31 | 6,276 | py | Python | tools/toc.py | donalm/cefpython | ce21ff975194ea1b17a9061ceb66648cbb3115c5 | [
"CNRI-Python",
"RSA-MD",
"Linux-OpenIB"
] | 1 | 2018-08-03T07:04:47.000Z | 2018-08-03T07:04:47.000Z | tools/toc.py | donalm/cefpython | ce21ff975194ea1b17a9061ceb66648cbb3115c5 | [
"CNRI-Python",
"RSA-MD",
"Linux-OpenIB"
] | null | null | null | tools/toc.py | donalm/cefpython | ce21ff975194ea1b17a9061ceb66648cbb3115c5 | [
"CNRI-Python",
"RSA-MD",
"Linux-OpenIB"
] | 1 | 2021-07-22T04:29:54.000Z | 2021-07-22T04:29:54.000Z | # Copyright (c) 2016 CEF Python, see the Authors file.
# All rights reserved. Licensed under BSD 3-clause license.
# Project website: https://github.com/cztomczak/cefpython
"""Create Table of contents (TOC) for a single .md file or for a directory.
Usage:
toc.py FILE
toc.py DIR
To ignore file when generating... | 34.295082 | 78 | 0.559592 | # Copyright (c) 2016 CEF Python, see the Authors file.
# All rights reserved. Licensed under BSD 3-clause license.
# Project website: https://github.com/cztomczak/cefpython
"""Create Table of contents (TOC) for a single .md file or for a directory.
Usage:
toc.py FILE
toc.py DIR
To ignore file when generating... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |