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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
4b922114fe8857917cc97991185cf8a10ca74b3e | 618 | py | Python | lconfig.py | litecord/rest-py | 1fcc08566dafd435e1df701a5928b0806ce9a294 | [
"MIT"
] | null | null | null | lconfig.py | litecord/rest-py | 1fcc08566dafd435e1df701a5928b0806ce9a294 | [
"MIT"
] | 6 | 2018-02-22T21:03:18.000Z | 2018-02-23T21:29:53.000Z | lconfig.py | litecord/rest-py | 1fcc08566dafd435e1df701a5928b0806ce9a294 | [
"MIT"
] | null | null | null | # configuration for litecord rest
# Where to start the webserver
server_url = ('0.0.0.0', 8000)
ssl = False
ssl_certfile = ''
ssl_keyfile = ''
# Where the gateway is in the world
gateway_url = 'ws://localhost:8081/gw'
# Where the litebridge connection will happen
litebridge_server = 'ws://localhost:10101/'
litebridg... | 22.071429 | 55 | 0.708738 |
3991e3c3070b3c6658247242dfbc7361cced9cfe | 545 | py | Python | Ekler/Neural_Network/skNN.py | ardamavi/SesimVar | ed344b4a88e6186127d9488c1787d7232fcd7c38 | [
"Apache-2.0"
] | 18 | 2017-04-01T19:50:02.000Z | 2021-03-10T06:52:17.000Z | Ekler/Neural_Network/skNN.py | sygops/SesimVar | ed344b4a88e6186127d9488c1787d7232fcd7c38 | [
"Apache-2.0"
] | 1 | 2017-04-01T19:47:20.000Z | 2017-04-01T19:47:20.000Z | Ekler/Neural_Network/skNN.py | sygops/SesimVar | ed344b4a88e6186127d9488c1787d7232fcd7c38 | [
"Apache-2.0"
] | 6 | 2018-02-17T20:58:14.000Z | 2021-01-06T23:37:16.000Z | # Arda Mavi
from sklearn.neural_network import MLPClassifier
def egitim(X,y):
# X => Eğitim için örnek giriş verileri.
# y => Eğitim için X girişlerinin beklenen çıktıları.
# MLPClassifier -> multi-layer perceptron (MLP)
clf = MLPClassifier(solver='lbfgs', alpha=1e-5,hidden_layer_sizes=(2), random_sta... | 27.25 | 90 | 0.689908 |
ba1e02988122dbee1766330fbf0929a094e611f2 | 3,656 | py | Python | GPCR/main_bert.py | nepp1d0/transformerCPI | a84c1e9b23b35ba3f02ad13621a1413f0ae7c62a | [
"Apache-2.0"
] | null | null | null | GPCR/main_bert.py | nepp1d0/transformerCPI | a84c1e9b23b35ba3f02ad13621a1413f0ae7c62a | [
"Apache-2.0"
] | null | null | null | GPCR/main_bert.py | nepp1d0/transformerCPI | a84c1e9b23b35ba3f02ad13621a1413f0ae7c62a | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@Time:Created on 2019/9/17 8:54
@author: LiFan Chen
@Filename: main.py
@Software: PyCharm
"""
import torch
import numpy as np
import random
import os
import time
import timeit
import warnings
from model_bert import BERT
from model_bert import Trainer
def load_tensor(file_name, dtype):
... | 29.723577 | 160 | 0.646061 |
ccbaa1d4bd9a9a155dc22845efdaeb1b42c9a366 | 18,841 | py | Python | Hangman example test thing 3.py | nicholashall14/Hangman-Game-Python | 94a75f95b873001f72b94cb770a9c3bf66cdb70e | [
"MIT"
] | null | null | null | Hangman example test thing 3.py | nicholashall14/Hangman-Game-Python | 94a75f95b873001f72b94cb770a9c3bf66cdb70e | [
"MIT"
] | null | null | null | Hangman example test thing 3.py | nicholashall14/Hangman-Game-Python | 94a75f95b873001f72b94cb770a9c3bf66cdb70e | [
"MIT"
] | null | null | null | #################################################
# Author : Ciel, imwithye
# Matric No : U1220539K
# Group : FS4
#################################################
import time
import random
easy = ['PHONE','HAPPY','APPLE','EARTH','GONGYIWEI']
normal = ['PYTHON','PIONEER','SINGAPORE','FATHER','MOTHE... | 40.605603 | 104 | 0.359854 |
89f11fefed8fd135e8461264054ff4357f0133c4 | 4,242 | py | Python | hypha/apply/api/v1/utils.py | maxpearl/hypha | e181ebadfb744aab34617bb766e746368d6f2de0 | [
"BSD-3-Clause"
] | 20 | 2021-04-08T16:38:49.000Z | 2022-02-09T20:05:57.000Z | hypha/apply/api/v1/utils.py | maxpearl/hypha | e181ebadfb744aab34617bb766e746368d6f2de0 | [
"BSD-3-Clause"
] | 1,098 | 2017-12-15T11:23:03.000Z | 2020-01-24T07:58:07.000Z | hypha/apply/api/v1/utils.py | maxpearl/hypha | e181ebadfb744aab34617bb766e746368d6f2de0 | [
"BSD-3-Clause"
] | 17 | 2020-02-07T14:55:54.000Z | 2021-04-04T19:32:38.000Z | from collections import OrderedDict
from django import forms
from django.contrib.auth import get_user_model
from django.db.models import Q
from tinymce.widgets import TinyMCE
from wagtail.core.models import Page
from hypha.apply.categories.models import Option
from hypha.apply.funds.models import ApplicationSubmissio... | 35.647059 | 138 | 0.67091 |
6d8c2c5848af5f1b26c7e919bf95d2aae504f0df | 16,775 | py | Python | setup.py | halvisg/dtaidistance | 80a23e9998bc3f3ca50213c2fd27d307ef6098e5 | [
"Apache-2.0"
] | null | null | null | setup.py | halvisg/dtaidistance | 80a23e9998bc3f3ca50213c2fd27d307ef6098e5 | [
"Apache-2.0"
] | null | null | null | setup.py | halvisg/dtaidistance | 80a23e9998bc3f3ca50213c2fd27d307ef6098e5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: UTF-8 -*-
"""
python3 setup.py build_ext --inplace
"""
from setuptools import setup, Command, find_packages
from setuptools.extension import Extension
from setuptools.command.test import test as TestCommand
from setuptools.command.sdist import sdist as SDistCommand
from setuptools.... | 39.940476 | 124 | 0.611326 |
f63d9bdf68321f45affad5b7f59d37803575cd91 | 794 | py | Python | class5/ex2b.py | nkbyrne/pyplus | 2fd31eb41c697259f641fd90a371d2cd9ed4a673 | [
"Apache-2.0"
] | null | null | null | class5/ex2b.py | nkbyrne/pyplus | 2fd31eb41c697259f641fd90a371d2cd9ed4a673 | [
"Apache-2.0"
] | null | null | null | class5/ex2b.py | nkbyrne/pyplus | 2fd31eb41c697259f641fd90a371d2cd9ed4a673 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from __future__ import unicode_literals, print_function
from jinja2 import FileSystemLoader, StrictUndefined
from jinja2.environment import Environment
env = Environment(undefined=StrictUndefined)
env.loader = FileSystemLoader([".", "./templates/"])
template_file = "ex2b.j2"
template = env.get_t... | 22.685714 | 55 | 0.653652 |
6b75449b66afa0bb0cb1820fb349703a2cc771c0 | 10,107 | py | Python | tests/bip/bip32/test_bip32_keys.py | MIPPLTeam/bip_utils | c66446e7ac3879d2cf6308c5b8eb7f7705292660 | [
"MIT"
] | 149 | 2020-05-15T08:11:43.000Z | 2022-03-29T16:34:42.000Z | tests/bip/bip32/test_bip32_keys.py | MIPPLTeam/bip_utils | c66446e7ac3879d2cf6308c5b8eb7f7705292660 | [
"MIT"
] | 41 | 2020-04-03T15:57:56.000Z | 2022-03-31T08:25:11.000Z | tests/bip/bip32/test_bip32_keys.py | MIPPLTeam/bip_utils | c66446e7ac3879d2cf6308c5b8eb7f7705292660 | [
"MIT"
] | 55 | 2020-04-03T17:05:15.000Z | 2022-03-24T12:43:42.000Z | # Copyright (c) 2021 Emanuele Bellocchia
#
# 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,... | 51.045455 | 159 | 0.722173 |
7ec096710584bedea932b6345cfbd84ff055e1c2 | 680 | py | Python | Mundo 2/ex070 Estatistica em produtos.py | AbelRapha/Python-Exercicios-CeV | 17e7055c982c8a1224992602ece50bae8eeee365 | [
"MIT"
] | null | null | null | Mundo 2/ex070 Estatistica em produtos.py | AbelRapha/Python-Exercicios-CeV | 17e7055c982c8a1224992602ece50bae8eeee365 | [
"MIT"
] | null | null | null | Mundo 2/ex070 Estatistica em produtos.py | AbelRapha/Python-Exercicios-CeV | 17e7055c982c8a1224992602ece50bae8eeee365 | [
"MIT"
] | null | null | null | print("-="*15)
print(" MERCADAO ")
print("-="*15)
decisao =" "
dict_produtos = {}
while(decisao not in "N"):
produto = input("Digite o nome do produto: ").strip()
preco = float(input("Digite o preco do produto "))
dict_produtos[produto] = preco
decisao = input("Deseja continuar? ").strip().upp... | 40 | 128 | 0.660294 |
971fa2b66f525b9d0f33bc530e21428d15fde61a | 4,784 | py | Python | yt/frontends/athena/io.py | FeiLi5/git-github.com-yt-project-yt | 0c6cf75351b91e4da80f6a0207ebbcb73dd72a59 | [
"BSD-3-Clause-Clear"
] | 2 | 2021-03-02T18:59:49.000Z | 2021-03-02T18:59:50.000Z | yt/frontends/athena/io.py | FeiLi5/git-github.com-yt-project-yt | 0c6cf75351b91e4da80f6a0207ebbcb73dd72a59 | [
"BSD-3-Clause-Clear"
] | 4 | 2018-04-13T23:03:42.000Z | 2018-05-08T17:50:43.000Z | yt/frontends/athena/io.py | FeiLi5/git-github.com-yt-project-yt | 0c6cf75351b91e4da80f6a0207ebbcb73dd72a59 | [
"BSD-3-Clause-Clear"
] | 2 | 2020-05-16T15:29:37.000Z | 2020-06-22T10:17:08.000Z | """
The data-file handling functions
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2013, yt Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#----------... | 37.375 | 93 | 0.534072 |
f51a45fe1a8a67667d2a40a89fde26a30975bde6 | 865 | py | Python | 2018/day01.py | harendra263/AdventOfCode | 86db33409961681dcb05be9bf9197f7464ee7697 | [
"MIT"
] | null | null | null | 2018/day01.py | harendra263/AdventOfCode | 86db33409961681dcb05be9bf9197f7464ee7697 | [
"MIT"
] | null | null | null | 2018/day01.py | harendra263/AdventOfCode | 86db33409961681dcb05be9bf9197f7464ee7697 | [
"MIT"
] | null | null | null |
from typing import List, Iterator, Set
with open('data/day01a.txt') as f:
numbers = [int(line.strip()) for line in f]
print(sum(numbers))
def all_frequencies(numbers: List[int], start: int = 0) -> Iterator[int]:
frequency = start
while True:
for number in numbers:
yield frequency
... | 20.116279 | 73 | 0.625434 |
74c4ba165f5264b43f651d253da1d1ddbad87714 | 2,270 | py | Python | basicdata/FileTest.py | xuwujing/python-study | a48a81595b28757a7ecd4dcf0416b8d897b46e41 | [
"Apache-2.0"
] | 1 | 2020-07-29T01:19:43.000Z | 2020-07-29T01:19:43.000Z | basicdata/FileTest.py | xuwujing/python-study | a48a81595b28757a7ecd4dcf0416b8d897b46e41 | [
"Apache-2.0"
] | null | null | null | basicdata/FileTest.py | xuwujing/python-study | a48a81595b28757a7ecd4dcf0416b8d897b46e41 | [
"Apache-2.0"
] | null | null | null | # 文件读写
# open() 将会返回一个 file 对象，基本语法格式如下:
# open(filename, mode)
# filename：包含了你要访问的文件名称的字符串值。
# mode：决定了打开文件的模式：只读，写入，追加等。所有可取值见如下的完全列表。这个参数是非强制的，默认文件访问模式为只读(r)。
# 模式
# 描述
# r
# 以只读方式打开文件。文件的指针将会放在文件的开头。这是默认模式。
# rb
# 以二进制格式打开一个文件用于只读。文件指针将会放在文件的开头。
# r+
# 打开一个文件用于读写。文件指针将会放在文件的开头。
# rb+
# 以二进制格式打开一个文件用于读写。文件指针将会放在文件的开... | 19.912281 | 83 | 0.701762 |
619af894f1d7a0532a43c088c2d6ae2aff7068b5 | 12,603 | py | Python | main.py | addicx/plantsensor | 3089fcb603266bd54d629637ef9ce0c10ffc9e74 | [
"MIT"
] | 74 | 2021-08-04T20:15:58.000Z | 2022-01-01T11:10:30.000Z | main.py | addicx/plantsensor | 3089fcb603266bd54d629637ef9ce0c10ffc9e74 | [
"MIT"
] | 1 | 2021-12-29T17:34:42.000Z | 2021-12-29T17:34:42.000Z | main.py | addicx/plantsensor | 3089fcb603266bd54d629637ef9ce0c10ffc9e74 | [
"MIT"
] | 4 | 2021-08-06T18:35:42.000Z | 2021-08-13T14:36:45.000Z | from machine import Pin,SPI,ADC #3v3 to humidity1, GP2 to humidity2 GND to humidity 4, (Link DHT22 pins 1&2 with a 4.7K - 10K resistor)
import framebuf, onewire, ds18x20, rp2, time, random
from src.CSMS import CSMS
DC = 8
RST = 12
MOSI = 11
SCK = 10
CS = 9
class OLED_1inch3(framebuf.FrameBuffer):
def __init__(s... | 35.905983 | 201 | 0.523288 |
643627c436a8b0e9d41420be4b72c3a010bd3b54 | 488 | py | Python | Python/python_study_4/page17/menu_item.py | zharmedia386/Progate-Course-Repo | 0dec6bd2d5594b1624251a74f6ebcf8266c449ba | [
"MIT"
] | null | null | null | Python/python_study_4/page17/menu_item.py | zharmedia386/Progate-Course-Repo | 0dec6bd2d5594b1624251a74f6ebcf8266c449ba | [
"MIT"
] | null | null | null | Python/python_study_4/page17/menu_item.py | zharmedia386/Progate-Course-Repo | 0dec6bd2d5594b1624251a74f6ebcf8266c449ba | [
"MIT"
] | null | null | null | class MenuItem:
def __init__(self, name, price):
self.name = name
self.price = price
def info(self):
return self.name + ': $' + str(self.price)
def get_total_price(self, count):
total_price = self.price * count
# If count is 3 or higher, multiply it by 0.9
... | 27.111111 | 69 | 0.567623 |
a6ebeb4dee48c51529f655eecbe38689866b16e1 | 1,586 | py | Python | coreference/data_loader.py | shinoyuki222/torch-light | 4799805d9bcae82a9f12a574dcf9fdd838c92ee9 | [
"MIT"
] | null | null | null | coreference/data_loader.py | shinoyuki222/torch-light | 4799805d9bcae82a9f12a574dcf9fdd838c92ee9 | [
"MIT"
] | null | null | null | coreference/data_loader.py | shinoyuki222/torch-light | 4799805d9bcae82a9f12a574dcf9fdd838c92ee9 | [
"MIT"
] | null | null | null | import random
import os
import numpy as np
import torch
import const
import utils
class DataLoader:
def __init__(self, inp_data, word2idx, cuda=True):
self.cuda = cuda
self.inp_data = inp_data
self.word2idx = word2idx
self.train_docs = self.load_files("train")
self.test_... | 29.37037 | 97 | 0.627364 |
c460d502c1ff96f051be2d605e5ec5fface23ea3 | 401 | py | Python | Chapter04/04_04_determine_file_extension_from_contenttype.py | susumuasaga/Python-Web-Scraping-Cookbook | dcb6241c5ead11070648b9c829b18f4e0d90f464 | [
"MIT"
] | 1 | 2019-09-29T13:58:54.000Z | 2019-09-29T13:58:54.000Z | Chapter04/04_04_determine_file_extension_from_contenttype.py | MindaugasVaitkus2/Python-Web-Scraping-Cookbook | dcb6241c5ead11070648b9c829b18f4e0d90f464 | [
"MIT"
] | null | null | null | Chapter04/04_04_determine_file_extension_from_contenttype.py | MindaugasVaitkus2/Python-Web-Scraping-Cookbook | dcb6241c5ead11070648b9c829b18f4e0d90f464 | [
"MIT"
] | null | null | null | """ Demonstrate determining extension from content type returned in response """
import sys
from os import path
sys.path.append(path.dirname(path.dirname(path.abspath(__file__))))
import const
from util.urls import URLUtility
util = URLUtility(const.ApodEclipseImage())
print("Filename from content-type: " + util.exte... | 28.642857 | 80 | 0.790524 |
714ac4e1a87d76c223c640703f0b4bf5513a7f3a | 8,968 | py | Python | dccd/histo_dl/exchange.py | irvingprog/Download_Crypto_Currencies_Data | b59f3a3eed3df29a1a68915cdf18f65b9023a992 | [
"MIT"
] | null | null | null | dccd/histo_dl/exchange.py | irvingprog/Download_Crypto_Currencies_Data | b59f3a3eed3df29a1a68915cdf18f65b9023a992 | [
"MIT"
] | null | null | null | dccd/histo_dl/exchange.py | irvingprog/Download_Crypto_Currencies_Data | b59f3a3eed3df29a1a68915cdf18f65b9023a992 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# coding: utf-8
# @Author: ArthurBernard
# @Email: arthur.bernard.92@gmail.com
# @Date: 2019-08-30 09:25:01
# @Last modified by: ArthurBernard
# @Last modified time: 2019-09-03 21:56:51
""" Base object to download historical data from REST API.
Notes
-----
The following object is shapped to dow... | 29.695364 | 79 | 0.547614 |
63866555de4a34269880685c3d02b4ff7c5909b0 | 6,308 | py | Python | huaweicloud-sdk-bss/huaweicloudsdkbss/v2/model/sub_customer_info_v2.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 64 | 2020-06-12T07:05:07.000Z | 2022-03-30T03:32:50.000Z | huaweicloud-sdk-bss/huaweicloudsdkbss/v2/model/sub_customer_info_v2.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 11 | 2020-07-06T07:56:54.000Z | 2022-01-11T11:14:40.000Z | huaweicloud-sdk-bss/huaweicloudsdkbss/v2/model/sub_customer_info_v2.py | huaweicloud/huaweicloud-sdk-python-v3 | 7a6270390fcbf192b3882bf763e7016e6026ef78 | [
"Apache-2.0"
] | 24 | 2020-06-08T11:42:13.000Z | 2022-03-04T06:44:08.000Z | # coding: utf-8
import re
import six
from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization
class SubCustomerInfoV2:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key ... | 25.232 | 103 | 0.556753 |
8b3928543d55f1c27ef1c4a2ab952fedf2d0d778 | 6,918 | py | Python | train.py | Jiannan-Liu/nCoVSegNet | 7543e68edff011a7f7b694c97cf0f185d441fd6b | [
"MIT"
] | 5 | 2021-08-31T14:28:52.000Z | 2022-02-12T04:10:31.000Z | train.py | Jiannan-Liu/nCoVSegNet | 7543e68edff011a7f7b694c97cf0f185d441fd6b | [
"MIT"
] | null | null | null | train.py | Jiannan-Liu/nCoVSegNet | 7543e68edff011a7f7b694c97cf0f185d441fd6b | [
"MIT"
] | 3 | 2021-08-09T02:53:17.000Z | 2022-02-20T09:35:28.000Z | import torch
from torch.autograd import Variable
import os
import argparse
from datetime import datetime
from utils.dataset import get_loader
from utils.utils import clip_gradient, adjust_lr, AvgMeter
import torch.nn.functional as F
def joint_loss(pred, mask):
weit = 1 + 5*torch.abs(F.avg_pool2d(mask, kernel_size... | 43.2375 | 109 | 0.603787 |
37ed19ad54af99b7080486c478a9cb6d9a5768c5 | 9,937 | py | Python | graph.py | kunrii/NodeNet | 192579807cb13fc363ea28f787da7d431b39646d | [
"MIT"
] | null | null | null | graph.py | kunrii/NodeNet | 192579807cb13fc363ea28f787da7d431b39646d | [
"MIT"
] | null | null | null | graph.py | kunrii/NodeNet | 192579807cb13fc363ea28f787da7d431b39646d | [
"MIT"
] | null | null | null | import numpy as _lib_
import node as _node_
class Graph:
def __init__(self):
self.nodes = set()
self.inputNodes = set()
self.outputNodes = set()
self.links = set()
self.learning_rate = 1e-3
#############################################################... | 28.070621 | 150 | 0.447016 |
e2f672ac6d30c611fad6639605013230c182f377 | 4,102 | py | Python | seata/rm/datasource/ColumnUtils.py | opentrx/seata-python | 66fb3382217a43effa3d1bc5ec2b62204d499dba | [
"Apache-2.0"
] | 8 | 2021-09-09T06:28:08.000Z | 2022-03-06T04:58:40.000Z | seata/rm/datasource/ColumnUtils.py | opentrx/seata-python | 66fb3382217a43effa3d1bc5ec2b62204d499dba | [
"Apache-2.0"
] | null | null | null | seata/rm/datasource/ColumnUtils.py | opentrx/seata-python | 66fb3382217a43effa3d1bc5ec2b62204d499dba | [
"Apache-2.0"
] | 4 | 2021-08-23T07:44:27.000Z | 2022-02-11T08:42:54.000Z | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
# @author jsbxyyx
# @since 1.0
from enum import Enum
class Escape(Enum):
STANDARD = '"'
MYSQL = '`'
class ColumnUtils(object):
DOT = "."
@classmethod
def del_escape_by_cols_dbtype(cls, cols, db_type):
new_cols = cls.del_escape_by_cols_escape... | 37.290909 | 115 | 0.591663 |
77411663a515a9268438c85921e22a661c684d07 | 5,050 | py | Python | src/commands/errors.py | L0ad1n6/Banana-Bot | d76dff9d782b1fe614b539bf13d176daecc24c8c | [
"MIT"
] | 2 | 2021-12-26T05:24:37.000Z | 2022-02-15T15:28:39.000Z | src/commands/errors.py | L0ad1n6/Banana-Bot | d76dff9d782b1fe614b539bf13d176daecc24c8c | [
"MIT"
] | null | null | null | src/commands/errors.py | L0ad1n6/Banana-Bot | d76dff9d782b1fe614b539bf13d176daecc24c8c | [
"MIT"
] | 3 | 2022-01-15T19:05:49.000Z | 2022-01-22T03:27:14.000Z | from discord.ext import commands
from discord.ext.commands.errors import *
from .music import HZ_BANDS
from wavelink.errors import ZeroConnectedNodes
import os
import sys
class InsufficientCredit(commands.CommandError):
pass
class InsufficientRole(commands.CommandError):
pass
class UserNotConnected(commands.Co... | 39.76378 | 196 | 0.693663 |
c0aef349ff8358f5a205aeae6e888287623c646c | 1,919 | py | Python | training/checkpointing.py | chapter09/open_lth | 53403fdb3fb82b833e336cf36b0292bfed61820a | [
"MIT"
] | null | null | null | training/checkpointing.py | chapter09/open_lth | 53403fdb3fb82b833e336cf36b0292bfed61820a | [
"MIT"
] | null | null | null | training/checkpointing.py | chapter09/open_lth | 53403fdb3fb82b833e336cf36b0292bfed61820a | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
from ..foundations import paths
from ..foundations.step import Step
from ..platforms.platform import get_platform
from ..training... | 42.644444 | 115 | 0.722251 |
52e1eb99295fa488792259b54c47ab5d2ffacdca | 3,742 | py | Python | clevrer_dev/feature_extraction/generate_features.py | gabrielsluz/SlowFast | bd06eac47fa236b070fd9a3b39518eea08d02947 | [
"Apache-2.0"
] | null | null | null | clevrer_dev/feature_extraction/generate_features.py | gabrielsluz/SlowFast | bd06eac47fa236b070fd9a3b39518eea08d02947 | [
"Apache-2.0"
] | null | null | null | clevrer_dev/feature_extraction/generate_features.py | gabrielsluz/SlowFast | bd06eac47fa236b070fd9a3b39518eea08d02947 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import torch
from torch.utils.data import DataLoader
import sys
import os
from tqdm import tqdm
import h5py
from slowfast.datasets.clevrer_video import Clevrer_video
from slowfast.models.video_model_builder import SlowFast
import slowfast.utils.checkpoint as cu
from slowfast.utils.parser impor... | 33.410714 | 90 | 0.652859 |
d07e0b72a8cc5b6f32fa03cf3333d6b8fd181655 | 1,222 | py | Python | advent_of_code/solutions/day_01.py | deadpyxel/advent-of-code-2020 | 0aa42fe49aa06e8822c6c61125425f387c330710 | [
"MIT"
] | null | null | null | advent_of_code/solutions/day_01.py | deadpyxel/advent-of-code-2020 | 0aa42fe49aa06e8822c6c61125425f387c330710 | [
"MIT"
] | null | null | null | advent_of_code/solutions/day_01.py | deadpyxel/advent-of-code-2020 | 0aa42fe49aa06e8822c6c61125425f387c330710 | [
"MIT"
] | null | null | null | from itertools import combinations
from typing import Collection
from typing import List
from advent_of_code.adapter import acquire_problem_input
from advent_of_code.utils import calc_product
from advent_of_code.utils import parse_input_as_integer
def _filter_possible_combinations(
original_list: List[int], n: i... | 33.944444 | 78 | 0.744681 |
b74069aea38bb72e0acf0e46d06ac2ae661c9559 | 2,183 | py | Python | Z - Tool Box/LaZagne/Windows/lazagne/softwares/php/composer.py | dfirpaul/Active-Directory-Exploitation-Cheat-Sheet-1 | 1dcf54522e9d20711ff1114550dc2893ed3e9ed0 | [
"MIT"
] | 1,290 | 2020-05-28T21:24:43.000Z | 2022-03-31T16:38:43.000Z | Z - Tool Box/LaZagne/Windows/lazagne/softwares/php/composer.py | dfirpaul/Active-Directory-Exploitation-Cheat-Sheet-1 | 1dcf54522e9d20711ff1114550dc2893ed3e9ed0 | [
"MIT"
] | 1 | 2020-07-03T21:14:52.000Z | 2020-07-03T21:14:52.000Z | Z - Tool Box/LaZagne/Windows/lazagne/softwares/php/composer.py | dfirpaul/Active-Directory-Exploitation-Cheat-Sheet-1 | 1dcf54522e9d20711ff1114550dc2893ed3e9ed0 | [
"MIT"
] | 280 | 2020-05-29T17:28:38.000Z | 2022-03-31T13:54:15.000Z | # -*- coding: utf-8 -*-
import json
from lazagne.config.module_info import ModuleInfo
from lazagne.config.constant import constant
import os
class Composer(ModuleInfo):
def __init__(self):
ModuleInfo.__init__(self, 'composer', 'php')
def extract_credentials(self, location):
"""
Ex... | 35.209677 | 96 | 0.554283 |
9d3709c5ccef6b681b8f43840012677d5a56f769 | 3,391 | py | Python | scripts/nasjonal_speakers.py | RuntimeRacer/Real-Time-Voice-Cloning | c363926774cf3a110b70abef939d907dc8998ca9 | [
"MIT"
] | null | null | null | scripts/nasjonal_speakers.py | RuntimeRacer/Real-Time-Voice-Cloning | c363926774cf3a110b70abef939d907dc8998ca9 | [
"MIT"
] | 1 | 2022-01-08T09:36:20.000Z | 2022-01-08T09:36:20.000Z | scripts/nasjonal_speakers.py | RuntimeRacer/Real-Time-Voice-Cloning | c363926774cf3a110b70abef939d907dc8998ca9 | [
"MIT"
] | null | null | null | import os
from pathlib import Path
import argparse
from tqdm import tqdm
import random
from multiprocess.pool import ThreadPool
from shutil import copyfile
# should pull this from args
parser = argparse.ArgumentParser(description='Process nasjonalbank dataset for a language.')
parser.add_argument("datasets_root", type... | 30.00885 | 92 | 0.675022 |
ef3e963bb884b9c9ea4fe2f960724485185b9342 | 227 | py | Python | skodaconnect/__version__.py | stefanuc111/skodaconnect | 106c83825fa009a238cdedebd67d0157fc950e90 | [
"Apache-2.0"
] | null | null | null | skodaconnect/__version__.py | stefanuc111/skodaconnect | 106c83825fa009a238cdedebd67d0157fc950e90 | [
"Apache-2.0"
] | null | null | null | skodaconnect/__version__.py | stefanuc111/skodaconnect | 106c83825fa009a238cdedebd67d0157fc950e90 | [
"Apache-2.0"
] | null | null | null | """
skodaconnect - A Python 3 library for interacting with Skoda Connect and Smartlink services.
For more details and documentation, visit the github page at https://github.com/lendy007/skodaconnect
"""
__version__ = "1.1.19"
| 32.428571 | 101 | 0.77533 |
41ca4c1aba343e59ae4ccfad7642bbc132cf901e | 3,831 | py | Python | solace/views/api.py | Plurk/Solace | 752a98e3279f1e7e0dafd6281e90ba24cb733474 | [
"BSD-3-Clause"
] | 4 | 2015-10-28T22:23:07.000Z | 2021-08-25T15:21:25.000Z | solace/views/api.py | sfermigier/solace | 32d0b398643344c797a40a094689300c364de3b0 | [
"BSD-3-Clause"
] | null | null | null | solace/views/api.py | sfermigier/solace | 32d0b398643344c797a40a094689300c364de3b0 | [
"BSD-3-Clause"
] | 1 | 2018-11-25T17:52:22.000Z | 2018-11-25T17:52:22.000Z | # -*- coding: utf-8 -*-
"""
solace.views.api
~~~~~~~~~~~~~~~~
This module implements version 1.0 of the API. If we ever provide
a new version, it should be renamed.
Because the docstrings of this module are displayed on the API page
different rules apply. Format docstrings with creole markup... | 30.648 | 74 | 0.666928 |
f651322201921e80c761a4927fb2c44106163dc7 | 6,108 | py | Python | src/Products/PageTemplates/expression.py | CMYanko/Zope | bbd2f4ce565740bfc9d9cae00c147f963ba49085 | [
"ZPL-2.1"
] | null | null | null | src/Products/PageTemplates/expression.py | CMYanko/Zope | bbd2f4ce565740bfc9d9cae00c147f963ba49085 | [
"ZPL-2.1"
] | null | null | null | src/Products/PageTemplates/expression.py | CMYanko/Zope | bbd2f4ce565740bfc9d9cae00c147f963ba49085 | [
"ZPL-2.1"
] | null | null | null | """``chameleon.tales`` expressions."""
from ast import NodeTransformer
from ast import parse
from chameleon.astutil import Static
from chameleon.astutil import Symbol
from chameleon.codegen import template
from chameleon.tales import NotExpr
from chameleon.tales import StringExpr
from AccessControl.ZopeGuards import... | 26.102564 | 77 | 0.695809 |
690fadcc0a20e867b674f68a250f6e3713d6497f | 5,522 | py | Python | Demo/threads/Coroutine.py | ystk/debian-python3.1 | 6241444a6994140621d1b143a2d6b311b184366a | [
"PSF-2.0"
] | 1 | 2021-12-26T22:20:34.000Z | 2021-12-26T22:20:34.000Z | Demo/threads/Coroutine.py | ystk/debian-python3.1 | 6241444a6994140621d1b143a2d6b311b184366a | [
"PSF-2.0"
] | 1 | 2015-10-29T20:51:31.000Z | 2015-10-29T20:51:31.000Z | Demo/threads/Coroutine.py | ystk/debian-python3.1 | 6241444a6994140621d1b143a2d6b311b184366a | [
"PSF-2.0"
] | 2 | 2018-08-06T04:37:38.000Z | 2022-02-27T18:07:12.000Z | # Coroutine implementation using Python threads.
#
# Combines ideas from Guido's Generator module, and from the coroutine
# features of Icon and Simula 67.
#
# To run a collection of functions as coroutines, you need to create
# a Coroutine object to control them:
# co = Coroutine()
# and then 'create' a subsidiary ... | 34.5125 | 85 | 0.628214 |
a89597857a42c548b374e4b23a9a419b08ce03c5 | 587 | py | Python | netbox/payment/navigation.py | cbipoe3ka/new-netbox-2.9 | ce54c710034d58f99dbcefc1ad16c947a8b78dc8 | [
"Apache-2.0"
] | null | null | null | netbox/payment/navigation.py | cbipoe3ka/new-netbox-2.9 | ce54c710034d58f99dbcefc1ad16c947a8b78dc8 | [
"Apache-2.0"
] | null | null | null | netbox/payment/navigation.py | cbipoe3ka/new-netbox-2.9 | ce54c710034d58f99dbcefc1ad16c947a8b78dc8 | [
"Apache-2.0"
] | null | null | null | from extras.plugins import PluginMenuButton, PluginMenuItem
from utilities.choices import ButtonColorChoices
menu_items = (
PluginMenuItem(
link='plugins:payment:payment_list',
link_text='Payments list',
permissions=['payment.view_payment'],
buttons= (
PluginMenuButto... | 26.681818 | 59 | 0.586031 |
166922b5aee4550fea294cb262434e18ab441e2b | 3,794 | py | Python | uvicore/auth/services.py | uvicore/framework | 9c21b85e9e470c6d789899340332a9abd0b26ab1 | [
"MIT"
] | 11 | 2021-03-22T22:07:49.000Z | 2022-03-08T16:18:33.000Z | uvicore/auth/services.py | uvicore/framework | 9c21b85e9e470c6d789899340332a9abd0b26ab1 | [
"MIT"
] | 12 | 2021-03-04T05:51:24.000Z | 2021-09-22T05:16:18.000Z | uvicore/auth/services.py | uvicore/framework | 9c21b85e9e470c6d789899340332a9abd0b26ab1 | [
"MIT"
] | 2 | 2021-03-25T14:49:56.000Z | 2021-11-17T23:20:29.000Z | import uvicore
from uvicore.http.provider import Http
from uvicore.database.provider import Db
from uvicore.package import ServiceProvider
from uvicore.support.dumper import dump, dd # type: ignore
@uvicore.provider()
class Auth(ServiceProvider, Db, Http):
def register(self) -> None:
# Register IoC bind... | 39.936842 | 137 | 0.650501 |
a53dbf2dee0a55ca6ae0acd9dcea926b37c89ee5 | 11,270 | py | Python | sudoku.py | JaakkoRoponen/sudoku-solver | 44355b5ce176f4f2210b5f7a1206c3f5786088c5 | [
"MIT"
] | null | null | null | sudoku.py | JaakkoRoponen/sudoku-solver | 44355b5ce176f4f2210b5f7a1206c3f5786088c5 | [
"MIT"
] | null | null | null | sudoku.py | JaakkoRoponen/sudoku-solver | 44355b5ce176f4f2210b5f7a1206c3f5786088c5 | [
"MIT"
] | null | null | null | import itertools
import random
import numpy as np
class Sudoku:
"""Class for creating and solving Sudoku puzzles"""
def _get_square(self, row, col):
"""
Returns coordinates for the square where the row,col coordinate is
"""
top = int(row / 3) * 3 # (0 or 1 or 2) * 3
... | 43.015267 | 79 | 0.565129 |
1b579f594f5cf06701a36a04347c2a0975c62ec7 | 2,534 | py | Python | tidal_precession.py | ddeb32/APR_Testing | 08cf346e6047f75ad57a7c9b497ea2dd9cb13f59 | [
"MIT"
] | null | null | null | tidal_precession.py | ddeb32/APR_Testing | 08cf346e6047f75ad57a7c9b497ea2dd9cb13f59 | [
"MIT"
] | null | null | null | tidal_precession.py | ddeb32/APR_Testing | 08cf346e6047f75ad57a7c9b497ea2dd9cb13f59 | [
"MIT"
] | null | null | null |
#####################################################################
### Evaluating the tidal component to the precession rate ###
#####################################################################
import numpy as np
import pandas as pd
from numpy import pi
from scipy import integrate
import scipy.consta... | 28.155556 | 98 | 0.480268 |
0bc0a183901e3a618faf1eab6fa1a8dd805e5e09 | 549 | py | Python | foodcartapp/migrations/0048_auto_20201217_1212.py | Sam1808/Add-orders-to-the-online-store | 2ca137915689df6012746c9d5e3b6307b53e112b | [
"MIT"
] | null | null | null | foodcartapp/migrations/0048_auto_20201217_1212.py | Sam1808/Add-orders-to-the-online-store | 2ca137915689df6012746c9d5e3b6307b53e112b | [
"MIT"
] | null | null | null | foodcartapp/migrations/0048_auto_20201217_1212.py | Sam1808/Add-orders-to-the-online-store | 2ca137915689df6012746c9d5e3b6307b53e112b | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2020-12-17 12:12
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('foodcartapp', '0047_auto_20201216_2004'),
]
operations = [
migrations.AlterField(
model_name='o... | 27.45 | 169 | 0.666667 |
bae67ecabe1b047880d24559c3cb7b1aa27dfb89 | 461 | py | Python | EMDetector/train/augment/contrast.py | jabae/detectEM | 2d1a5116164d0bed0a8ea767a227d05a8970a448 | [
"MIT"
] | 1 | 2021-02-14T06:41:05.000Z | 2021-02-14T06:41:05.000Z | EMDetector/train/augment/contrast.py | jabae/detectEM | 2d1a5116164d0bed0a8ea767a227d05a8970a448 | [
"MIT"
] | null | null | null | EMDetector/train/augment/contrast.py | jabae/detectEM | 2d1a5116164d0bed0a8ea767a227d05a8970a448 | [
"MIT"
] | null | null | null | import numpy as np
def contrast_augment(sample):
"""Performs contrast/brightness augmentation on img.
Args:
sample: Dictionary of (np array: <ch,z,x,y>) image and mask
"""
f_s = 1
f_b = 0.5
a = 1 + (np.random.rand() - 0.5) * f_s
b = (np.random.rand() - 0.5) * f_b
g = (np.random.rand()*2 - 1)
sample["im... | 20.043478 | 61 | 0.607375 |
2d1b761229331ea1c9891c2193efe1b693996f13 | 4,416 | py | Python | supplier/views.py | chinxianjun2016/GreaterWMS | aacd0e15e0114f103eb57002e93670c008cce63b | [
"Apache-2.0"
] | null | null | null | supplier/views.py | chinxianjun2016/GreaterWMS | aacd0e15e0114f103eb57002e93670c008cce63b | [
"Apache-2.0"
] | null | null | null | supplier/views.py | chinxianjun2016/GreaterWMS | aacd0e15e0114f103eb57002e93670c008cce63b | [
"Apache-2.0"
] | null | null | null | from rest_framework import viewsets
from .models import ListModel
from . import serializers
from utils.page import MyPageNumberPagination
from rest_framework.filters import OrderingFilter
from django_filters.rest_framework import DjangoFilterBackend
from rest_framework.response import Response
from .filter import Filte... | 37.74359 | 118 | 0.639719 |
9a64af6060ed3aa8f41e22948952679e479f3b7e | 466 | py | Python | data/scripts/templates/object/tangible/medicine/crafted/shared_medpack_blinded_a.py | obi-two/GameServer | 7d37024e2291a97d49522610cd8f1dbe5666afc2 | [
"MIT"
] | 20 | 2015-02-23T15:11:56.000Z | 2022-03-18T20:56:48.000Z | data/scripts/templates/object/tangible/medicine/crafted/shared_medpack_blinded_a.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | null | null | null | data/scripts/templates/object/tangible/medicine/crafted/shared_medpack_blinded_a.py | apathyboy/swganh | 665128efe9154611dec4cb5efc61d246dd095984 | [
"MIT"
] | 20 | 2015-04-04T16:35:59.000Z | 2022-03-24T14:54:37.000Z | #### NOTICE: THIS FILE IS AUTOGENERATED
#### MODIFICATIONS MAY BE LOST IF DONE IMPROPERLY
#### PLEASE SEE THE ONLINE DOCUMENTATION FOR EXAMPLES
from swgpy.object import *
def create(kernel):
result = Tangible()
result.template = "object/tangible/medicine/crafted/shared_medpack_blinded_a.iff"
result.attribute_tem... | 27.411765 | 82 | 0.738197 |
923b31bcd10a8d4a66d790edf51fc2941b1c3ad5 | 2,154 | py | Python | src/app.py | amiiiirrrr/Machine_learning_task | 2d066d06ea8622b06bd9e4e9f791074a44f80173 | [
"Apache-2.0"
] | null | null | null | src/app.py | amiiiirrrr/Machine_learning_task | 2d066d06ea8622b06bd9e4e9f791074a44f80173 | [
"Apache-2.0"
] | null | null | null | src/app.py | amiiiirrrr/Machine_learning_task | 2d066d06ea8622b06bd9e4e9f791074a44f80173 | [
"Apache-2.0"
] | null | null | null | """
app.py
"""
import pika
import json
from test_model import TestModel
__author__ = "Seyed Amir Mousavi"
__license__ = "Public Domain"
__version__ = "1.0.0"
__status__ = "Production"
def run():
"""
To process requests
"""
connection = pika.BlockingConnection(
pika.Connect... | 33.65625 | 99 | 0.539926 |
3bb557f49546b91fd8610b75d10f654ae858771a | 4,755 | py | Python | python/hopsworks/engine/execution_engine.py | robzor92/hopsworks-api | 94a0cfabedc0278e5d5e0eec699317073a65a126 | [
"Apache-2.0"
] | null | null | null | python/hopsworks/engine/execution_engine.py | robzor92/hopsworks-api | 94a0cfabedc0278e5d5e0eec699317073a65a126 | [
"Apache-2.0"
] | 9 | 2022-03-18T08:21:41.000Z | 2022-03-28T14:46:31.000Z | python/hopsworks/engine/execution_engine.py | robzor92/hopsworks-api | 94a0cfabedc0278e5d5e0eec699317073a65a126 | [
"Apache-2.0"
] | 3 | 2022-03-14T08:20:45.000Z | 2022-03-16T11:15:04.000Z | #
# Copyright 2022 Logical Clocks AB
#
# 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 ag... | 37.440945 | 102 | 0.609043 |
7f297181c692fc9537ab582c38bc14cccd652d05 | 3,546 | py | Python | tests/data/test_load_wyscout.py | BWyckaert/socceraction | 5fd6bd7e29df8d230103d586f8f9449bdb0ca500 | [
"MIT"
] | null | null | null | tests/data/test_load_wyscout.py | BWyckaert/socceraction | 5fd6bd7e29df8d230103d586f8f9449bdb0ca500 | [
"MIT"
] | null | null | null | tests/data/test_load_wyscout.py | BWyckaert/socceraction | 5fd6bd7e29df8d230103d586f8f9449bdb0ca500 | [
"MIT"
] | null | null | null | import os
from socceraction.data import wyscout as wy
from socceraction.data.wyscout import (
WyscoutCompetitionSchema,
WyscoutEventSchema,
WyscoutGameSchema,
WyscoutPlayerSchema,
WyscoutTeamSchema,
)
class TestPublicWyscoutLoader:
def setup_method(self) -> None:
data_dir = os.path.jo... | 36.556701 | 96 | 0.654258 |
7c7a0346e794b19ed578943f5ccb8ba49e761dc0 | 3,905 | py | Python | ai_flow/runtime/job_runtime_util.py | SteNicholas/ai-flow | 2c70547981f1516f0e37bbe6936a1b7cccd31822 | [
"Apache-2.0"
] | null | null | null | ai_flow/runtime/job_runtime_util.py | SteNicholas/ai-flow | 2c70547981f1516f0e37bbe6936a1b7cccd31822 | [
"Apache-2.0"
] | null | null | null | ai_flow/runtime/job_runtime_util.py | SteNicholas/ai-flow | 2c70547981f1516f0e37bbe6936a1b7cccd31822 | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 55.785714 | 105 | 0.680154 |
a6a60863aa381bd88c89131760c48a129334db8e | 7,166 | py | Python | analysis/create_plots/detect.py | shibaji7/clustering_superdarn_data | 02bc31dd85f66319bb46b632e0e7ac51ed98c432 | [
"BSD-3-Clause"
] | 1 | 2020-12-02T20:13:14.000Z | 2020-12-02T20:13:14.000Z | analysis/create_plots/detect.py | shibaji7/clustering_superdarn_data | 02bc31dd85f66319bb46b632e0e7ac51ed98c432 | [
"BSD-3-Clause"
] | null | null | null | analysis/create_plots/detect.py | shibaji7/clustering_superdarn_data | 02bc31dd85f66319bb46b632e0e7ac51ed98c432 | [
"BSD-3-Clause"
] | null | null | null | import os
import sys
sys.path.append("./")
sys.path.append("../")
sys.path.append("create_plots/")
import datetime as dt
import pandas as pd
import numpy as np
import matplotlib as mpl
from matplotlib.dates import num2date
import matplotlib.pyplot as plt
from scipy.stats import beta
import pickle
import pydarn
from py... | 41.421965 | 181 | 0.611359 |
ad29833d6957aa81efada3975b1c470dfc2bd2e6 | 14,228 | py | Python | integration_tests/test_suites/celery-k8s-integration-test-suite/test_integration.py | coderanger/dagster | d3e323f8ed55cd906d6f44f19595348ea1580b2d | [
"Apache-2.0"
] | null | null | null | integration_tests/test_suites/celery-k8s-integration-test-suite/test_integration.py | coderanger/dagster | d3e323f8ed55cd906d6f44f19595348ea1580b2d | [
"Apache-2.0"
] | null | null | null | integration_tests/test_suites/celery-k8s-integration-test-suite/test_integration.py | coderanger/dagster | d3e323f8ed55cd906d6f44f19595348ea1580b2d | [
"Apache-2.0"
] | null | null | null | # pylint doesn't know about pytest fixtures
# pylint: disable=unused-argument
import datetime
import os
import time
import boto3
import pytest
from dagster import DagsterEventType
from dagster.core.storage.pipeline_run import PipelineRunStatus
from dagster.core.test_utils import create_run_for_test
from dagster.utils ... | 36.670103 | 100 | 0.691032 |
1a0d9ba96d42971f51efaca127b411dd2c1a5ff9 | 3,056 | py | Python | matcher/utils.py | aehrc/clinicaltrialsearch | 03eb78923dd22c10c77257ffb8aeaf60b2f2c62d | [
"MIT"
] | null | null | null | matcher/utils.py | aehrc/clinicaltrialsearch | 03eb78923dd22c10c77257ffb8aeaf60b2f2c62d | [
"MIT"
] | null | null | null | matcher/utils.py | aehrc/clinicaltrialsearch | 03eb78923dd22c10c77257ffb8aeaf60b2f2c62d | [
"MIT"
] | null | null | null |
import xml.etree.ElementTree as etree
import re
import argparse
from typing import Dict, Union, Optional, List, Any
from collections import defaultdict
SPECIAL_MEDICAL_TERMS = ['covid', 'covid-19', 'coronavirus', 'corona']
def get_queries(query_file: str):
"""
Reads a Indri formatted query file.
:par... | 36.819277 | 118 | 0.622382 |
21acb432c48fc6fb4dd56ea2ef6aa2903b327314 | 1,746 | py | Python | django/aihackingbad/videos/views.py | GauravB159/Recommend | 1bfc1826239e1fe2ccdab7d75f3a4320a70290db | [
"MIT"
] | null | null | null | django/aihackingbad/videos/views.py | GauravB159/Recommend | 1bfc1826239e1fe2ccdab7d75f3a4320a70290db | [
"MIT"
] | null | null | null | django/aihackingbad/videos/views.py | GauravB159/Recommend | 1bfc1826239e1fe2ccdab7d75f3a4320a70290db | [
"MIT"
] | null | null | null | from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
import uuid, json ,os,time
# Create your views here.
def index(request):
# return HttpResponse('videos')
return render(request, 'videos/index.html')
def videoGen(category):
path = 'data/videos/'+category+'/';
baseUrl='http:... | 29.1 | 77 | 0.700458 |
76802d81407fc97c7ce3c8cd3d3fd8b34784deec | 1,310 | py | Python | app/core/test/test_admin.py | Umutbek/crm-food | 96a59b2624aef46b9c4fa250812626948edb4d88 | [
"MIT"
] | null | null | null | app/core/test/test_admin.py | Umutbek/crm-food | 96a59b2624aef46b9c4fa250812626948edb4d88 | [
"MIT"
] | null | null | null | app/core/test/test_admin.py | Umutbek/crm-food | 96a59b2624aef46b9c4fa250812626948edb4d88 | [
"MIT"
] | null | null | null | from django.test import TestCase, Client
from django.contrib.auth import get_user_model
from django.urls import reverse
class AdminSiteTests(TestCase):
def setUp(self):
self.client = Client()
self.admin_user = get_user_model().objects.create_superuser(
email='admin@gmail.com',
... | 31.190476 | 68 | 0.636641 |
33938c9651069841dddc01e6634e7715b459ead7 | 2,688 | py | Python | lib/web/exceptions.py | kpark1/dynamo | cb713fac5438b125b6bd05cbe38316fde5868a18 | [
"MIT"
] | 1 | 2018-08-02T03:06:27.000Z | 2018-08-02T03:06:27.000Z | lib/web/exceptions.py | kpark1/dynamo | cb713fac5438b125b6bd05cbe38316fde5868a18 | [
"MIT"
] | 16 | 2017-11-24T21:09:26.000Z | 2019-05-14T15:13:57.000Z | lib/web/exceptions.py | kpark1/dynamo | cb713fac5438b125b6bd05cbe38316fde5868a18 | [
"MIT"
] | 11 | 2016-08-03T10:37:31.000Z | 2018-08-21T14:32:25.000Z | class MissingParameter(Exception):
"""Raise if request is missing a required parameter."""
def __init__(self, param_name, context = None):
self.param_name = param_name
self.context = context
def __str__(self):
msg = 'Missing required parameter "%s"' % self.param_name
if self... | 34.025316 | 108 | 0.60119 |
ded4a5fa8c826c8a05b1dd5e86c5ae42611f5785 | 1,253 | py | Python | gozokia/i_o/input.py | avara1986/gozokia | 03da46359c4a97a35b8f94686cccec7fc9b438cd | [
"MIT-0",
"MIT"
] | null | null | null | gozokia/i_o/input.py | avara1986/gozokia | 03da46359c4a97a35b8f94686cccec7fc9b438cd | [
"MIT-0",
"MIT"
] | null | null | null | gozokia/i_o/input.py | avara1986/gozokia | 03da46359c4a97a35b8f94686cccec7fc9b438cd | [
"MIT-0",
"MIT"
] | null | null | null | import sys
from .io_base import InputBase
from .io_voice import VoiceRecognizerMixin
from gozokia.conf import settings
class InputTerminalText(InputBase):
def listen(self, *args, **kwargs):
super(InputTerminalText, self).listen(*args, **kwargs)
"""
Normalize reading input between python 2... | 29.139535 | 68 | 0.64166 |
6e8482d99a7cf6fbdf23dba1b17bde54c69208ae | 817 | py | Python | backend/migrations/0026_auto_20190928_2138.py | Raniac/NEURO-LEARN | 3c3acc55de8ba741e673063378e6cbaf10b64c7a | [
"Apache-2.0"
] | 8 | 2019-05-29T09:38:30.000Z | 2021-01-20T03:36:59.000Z | backend/migrations/0026_auto_20190928_2138.py | Raniac/neurolearn_dev | 3c3acc55de8ba741e673063378e6cbaf10b64c7a | [
"Apache-2.0"
] | 12 | 2021-03-09T03:01:16.000Z | 2022-03-11T23:59:36.000Z | backend/migrations/0026_auto_20190928_2138.py | Raniac/NEURO-LEARN | 3c3acc55de8ba741e673063378e6cbaf10b64c7a | [
"Apache-2.0"
] | 1 | 2020-07-17T12:49:49.000Z | 2020-07-17T12:49:49.000Z | # Generated by Django 2.1.7 on 2019-09-28 13:38
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('backend', '0025_auto_20190926_2049'),
]
operations = [
migrations.RenameModel(
old_name='Data_Demo',
new_name='Data_Old',
... | 24.029412 | 47 | 0.561812 |
692c6134783df3fcbd3a1574bfb27054eeba5062 | 1,082 | py | Python | setup.py | Photonios/py-momit-cool | b702f53c3f5d16f02c3d7fd95c0d980f2683271b | [
"MIT"
] | 2 | 2018-09-05T17:17:26.000Z | 2019-03-26T18:38:41.000Z | setup.py | Photonios/py-momit-cool | b702f53c3f5d16f02c3d7fd95c0d980f2683271b | [
"MIT"
] | 2 | 2018-09-05T05:41:19.000Z | 2020-01-05T14:45:39.000Z | setup.py | Photonios/py-momit-cool | b702f53c3f5d16f02c3d7fd95c0d980f2683271b | [
"MIT"
] | 1 | 2019-03-26T18:38:46.000Z | 2019-03-26T18:38:46.000Z | import os
from setuptools import setup, find_packages
with open(os.path.join(os.path.dirname(__file__), 'README.rst')) as readme:
README = readme.read()
setup(
name='py-momit-cool-remote',
version='1.1',
packages=find_packages(),
include_package_data=True,
license='MIT License',
descripti... | 30.914286 | 100 | 0.634011 |
475df6c915b0228b10ae229a8ea6f0937e5f61a0 | 67,374 | py | Python | taco/full_node/weight_proof.py | grayfallstown/taco-blockchain | 6196d73af7a982301a0a1ad5c1bed836b2f95a8d | [
"Apache-2.0"
] | 18 | 2021-07-14T09:56:37.000Z | 2022-02-09T04:32:58.000Z | taco/full_node/weight_proof.py | grayfallstown/taco-blockchain | 6196d73af7a982301a0a1ad5c1bed836b2f95a8d | [
"Apache-2.0"
] | 9 | 2021-07-14T15:48:28.000Z | 2021-10-10T02:32:59.000Z | taco/full_node/weight_proof.py | grayfallstown/taco-blockchain | 6196d73af7a982301a0a1ad5c1bed836b2f95a8d | [
"Apache-2.0"
] | 10 | 2021-07-18T03:22:43.000Z | 2022-03-15T08:40:06.000Z | import asyncio
import dataclasses
import logging
import math
import random
from concurrent.futures.process import ProcessPoolExecutor
from typing import Dict, List, Optional, Tuple
from taco.consensus.block_header_validation import validate_finished_header_block
from taco.consensus.block_record import BlockRecord
from... | 42.373585 | 120 | 0.67247 |
15eea01b6d32560e7552a6a3c6876f04ca6a418d | 3,893 | py | Python | DJANGO/trainingapp/trainingapp/settings.py | NIXON707/Frameworks-7a-2020B | 6892f8dd14b4b6f54eaf06ee5365c95006d815db | [
"MIT"
] | null | null | null | DJANGO/trainingapp/trainingapp/settings.py | NIXON707/Frameworks-7a-2020B | 6892f8dd14b4b6f54eaf06ee5365c95006d815db | [
"MIT"
] | null | null | null | DJANGO/trainingapp/trainingapp/settings.py | NIXON707/Frameworks-7a-2020B | 6892f8dd14b4b6f54eaf06ee5365c95006d815db | [
"MIT"
] | null | null | null | """
Django settings for trainingapp project.
Generated by 'django-admin startproject' using Django 3.1.1.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/3.1/ref/settings/
"""
import p... | 25.444444 | 91 | 0.658618 |
8d87b1712970beae100a3b5dc1a249e0b3210081 | 936 | py | Python | clean.py | ychnlgy/MailUpdater | 4cac2e62a699ade0257418be68c76c450e5c7d5a | [
"MIT"
] | null | null | null | clean.py | ychnlgy/MailUpdater | 4cac2e62a699ade0257418be68c76c450e5c7d5a | [
"MIT"
] | null | null | null | clean.py | ychnlgy/MailUpdater | 4cac2e62a699ade0257418be68c76c450e5c7d5a | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import os, shutil
ROOT = "."
PATTERNS = [".pyc", "__pycache__"]
BOLD = '\033[1m'
ENDC = '\033[0m'
TEMPLATE = "%s -- %s"
def main():
recurse(ROOT, PATTERNS)
def bold(s):
return BOLD + s + ENDC
def report(d, t, f):
t = ["F", "D"][t]
temp = TEMPLATE % (t, f)
if d:
tem... | 17.660377 | 45 | 0.497863 |
0dd47dde3df618b0769da1e05b388749efaf95a8 | 10,361 | py | Python | tests/garage/tf/policies/test_categorical_lstm_policy_with_model_transit.py | arbenton/garage | 5c398255fbfae375370483f18216996d82590a88 | [
"MIT"
] | null | null | null | tests/garage/tf/policies/test_categorical_lstm_policy_with_model_transit.py | arbenton/garage | 5c398255fbfae375370483f18216996d82590a88 | [
"MIT"
] | null | null | null | tests/garage/tf/policies/test_categorical_lstm_policy_with_model_transit.py | arbenton/garage | 5c398255fbfae375370483f18216996d82590a88 | [
"MIT"
] | 1 | 2020-02-05T00:34:07.000Z | 2020-02-05T00:34:07.000Z | """
Unit test for Categorical LSTM Policy with Model.
This test consists of four different CategoricalLSTMPolicy: P1, P2, P3
and P4. P1 and P2 are from CategoricalLSTMPolicy, which does not use
garage.tf.models.LSTMModel while P3 and P4 do use.
This test ensures the outputs from all the policies are the same,
for the... | 43.533613 | 79 | 0.657562 |
958768b8dd14855315f22560afe6620767e37771 | 17 | py | Python | benchmarks/models/__init__.py | markozeman/TransformerSuperposition | a0638c8cb7a346dc9bd0ac992ce5bf306d44303b | [
"MIT"
] | null | null | null | benchmarks/models/__init__.py | markozeman/TransformerSuperposition | a0638c8cb7a346dc9bd0ac992ce5bf306d44303b | [
"MIT"
] | null | null | null | benchmarks/models/__init__.py | markozeman/TransformerSuperposition | a0638c8cb7a346dc9bd0ac992ce5bf306d44303b | [
"MIT"
] | null | null | null | from . import mlp | 17 | 17 | 0.764706 |
ba90e2ebaf9c707b86e448928f2850de34296a6b | 1,170 | py | Python | osbenchmark/builder/launchers/launcher.py | sharp-pixel/opensearch-benchmark | 32b2a68c3672f680fbc90a591f6c15b46701142e | [
"Apache-2.0"
] | 26 | 2021-12-09T06:58:53.000Z | 2022-03-29T15:01:37.000Z | osbenchmark/builder/launchers/launcher.py | sharp-pixel/opensearch-benchmark | 32b2a68c3672f680fbc90a591f6c15b46701142e | [
"Apache-2.0"
] | 63 | 2021-12-08T20:47:17.000Z | 2022-03-31T18:21:31.000Z | osbenchmark/builder/launchers/launcher.py | sharp-pixel/opensearch-benchmark | 32b2a68c3672f680fbc90a591f6c15b46701142e | [
"Apache-2.0"
] | 5 | 2021-12-09T10:17:30.000Z | 2022-03-03T05:31:12.000Z | from abc import ABC, abstractmethod
class Launcher(ABC):
"""
Launchers are used to start and stop OpenSearch on the nodes in a self-managed cluster.
"""
def __init__(self, shell_executor):
self.shell_executor = shell_executor
@abstractmethod
def start(self, host, node_configurations):... | 36.5625 | 128 | 0.687179 |
f6eca5db0b003550ce8068afa299c42f2a0019dc | 325 | py | Python | librerias_mauro/maths.py | paleomau/MGOL_BOOTCAMP | 8c2b018f49fd12a255ea6f323141260d04d4421d | [
"MIT"
] | null | null | null | librerias_mauro/maths.py | paleomau/MGOL_BOOTCAMP | 8c2b018f49fd12a255ea6f323141260d04d4421d | [
"MIT"
] | null | null | null | librerias_mauro/maths.py | paleomau/MGOL_BOOTCAMP | 8c2b018f49fd12a255ea6f323141260d04d4421d | [
"MIT"
] | null | null | null | ''' Esta funcion eleve a la potencia deseada un rango de numeros que hay que definir'''
def math_powers (range, power):
the_list = [(a ** power) for a in range(range)]
print(the_list)
math_powers(10,3)
# me da error int objetc is not callable. Prefiero dejar la funcion asi y resolver la duda el lunes en tut... | 46.428571 | 111 | 0.72 |
ae726ac52d8f2253720213951983bdab64a7ae87 | 29,790 | py | Python | Python/libraries/recognizers-date-time/recognizers_date_time/date_time/base_date.py | acblacktea/Recognizers-Text | 2170b8e35216f3fd56cce98fb33cde5339c9f088 | [
"MIT"
] | 1 | 2019-06-19T10:45:24.000Z | 2019-06-19T10:45:24.000Z | Python/libraries/recognizers-date-time/recognizers_date_time/date_time/base_date.py | mcunille/Recognizers-Text | c5375796ab3f00bee4d9ac1cf8873fe2cc29121b | [
"MIT"
] | null | null | null | Python/libraries/recognizers-date-time/recognizers_date_time/date_time/base_date.py | mcunille/Recognizers-Text | c5375796ab3f00bee4d9ac1cf8873fe2cc29121b | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from typing import List, Optional, Pattern, Dict
from datetime import datetime, timedelta
import calendar
from datedelta import datedelta
import regex
from recognizers_text.extractor import ExtractResult
from recognizers_text.utilities import RegExpUtility
from recognizers_number im... | 36.418093 | 195 | 0.629708 |
6911d1f6589c7081c29210bafedded78c816581a | 5,332 | py | Python | cycada/data/data_loader.py | masterfulai/cycada_release | 8c47ff6405074dd247aae0859ec1aec60509447e | [
"BSD-2-Clause"
] | null | null | null | cycada/data/data_loader.py | masterfulai/cycada_release | 8c47ff6405074dd247aae0859ec1aec60509447e | [
"BSD-2-Clause"
] | null | null | null | cycada/data/data_loader.py | masterfulai/cycada_release | 8c47ff6405074dd247aae0859ec1aec60509447e | [
"BSD-2-Clause"
] | null | null | null | from __future__ import print_function
import os
from os.path import join
import numpy as np
from PIL import Image
import torch
import torch.utils.data as data
import torch.nn as nn
from torchvision import datasets, transforms
from ..util import to_tensor_raw
def load_data(name, dset, batch=64, rootdir='', num_channe... | 33.746835 | 88 | 0.674794 |
84f9916e456b71ad319f79a0b277ac8227533160 | 29,086 | py | Python | sympy/__init__.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | sympy/__init__.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | sympy/__init__.py | Michal-Gagala/sympy | 3cc756c2af73b5506102abaeefd1b654e286e2c8 | [
"MIT"
] | null | null | null | """
SymPy is a Python library for symbolic mathematics. It aims to become a
full-featured computer algebra system (CAS) while keeping the code as simple
as possible in order to be comprehensible and easily extensible. SymPy is
written entirely in Python. It depends on mpmath, and other external libraries
may be o... | 54.879245 | 91 | 0.675789 |
f36915faba08a1ee5f120c5b1f0aa369c0ba0a0f | 62 | py | Python | .history/postImages/index_20201005142231.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | 2 | 2020-10-21T22:14:15.000Z | 2020-10-21T22:14:16.000Z | .history/postImages/index_20201005142231.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | null | null | null | .history/postImages/index_20201005142231.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | null | null | null | import pandas as pd
df = pd.read_excel("bridgeData2.xlsx")
| 12.4 | 38 | 0.725806 |
0ffad7247f063b37292363f378b5bcb87dc48c33 | 1,352 | py | Python | src/target.py | agoswam/Simulator | 3507b697aab134022cfab61b6231979795bb9115 | [
"MIT"
] | 2 | 2018-04-01T23:26:31.000Z | 2020-04-24T17:12:00.000Z | src/target.py | agoswam/Simulator | 3507b697aab134022cfab61b6231979795bb9115 | [
"MIT"
] | null | null | null | src/target.py | agoswam/Simulator | 3507b697aab134022cfab61b6231979795bb9115 | [
"MIT"
] | 2 | 2022-02-18T12:13:12.000Z | 2022-03-13T13:07:19.000Z | #!/usr/bin/env python
# --------------------------------------------------------------------------------------\n
# Author: Angshuman Goswami, Graduate Student, Clemson University
# Date Create: 20/5/2016, Last Modified: 20/5/2016 \n
# ------------------------------------------------------------------------------------... | 26.509804 | 90 | 0.553994 |
59fedc7421e9567d2bddf07c2afe51b2c3399aac | 10,215 | py | Python | venv/Lib/site-packages/sklearn/linear_model/tests/test_theil_sen.py | Jos33y/student-performance-knn | 4e965434f52dd6a1380904aa257df1edfaebb3c4 | [
"MIT"
] | 2 | 2021-05-02T07:59:56.000Z | 2021-12-14T19:53:13.000Z | venv/Lib/site-packages/sklearn/linear_model/tests/test_theil_sen.py | Jos33y/student-performance-knn | 4e965434f52dd6a1380904aa257df1edfaebb3c4 | [
"MIT"
] | 7 | 2021-06-08T21:46:24.000Z | 2022-03-12T00:35:31.000Z | my_env/Lib/site-packages/sklearn/linear_model/tests/test_theil_sen.py | obulrdy6881/Drowsinss | 61cb9281d7dd22aee282b517e2fbf500f0ff9935 | [
"MIT"
] | 1 | 2021-05-02T07:59:59.000Z | 2021-05-02T07:59:59.000Z | """
Testing for Theil-Sen module (sklearn.linear_model.theil_sen)
"""
# Author: Florian Wilhelm <florian.wilhelm@gmail.com>
# License: BSD 3 clause
import os
import sys
from contextlib import contextmanager
import numpy as np
from numpy.testing import assert_array_equal, assert_array_less
from numpy.testing... | 36.223404 | 80 | 0.648556 |
3bafd4ac8dce53a61bc5f969df68d84407e7f6df | 22,480 | py | Python | scipy/optimize/_linprog.py | gitter-badger/scipy | 0d10fea581d5044bbecc8b4fbe8c11fc102f6592 | [
"BSD-3-Clause"
] | 1 | 2019-07-14T23:22:16.000Z | 2019-07-14T23:22:16.000Z | scipy/optimize/_linprog.py | gitter-badger/scipy | 0d10fea581d5044bbecc8b4fbe8c11fc102f6592 | [
"BSD-3-Clause"
] | 1 | 2021-06-25T15:36:38.000Z | 2021-06-25T15:36:38.000Z | scipy/optimize/_linprog.py | gitter-badger/scipy | 0d10fea581d5044bbecc8b4fbe8c11fc102f6592 | [
"BSD-3-Clause"
] | 1 | 2019-07-21T15:59:29.000Z | 2019-07-21T15:59:29.000Z | """
A top-level linear programming interface. Currently this interface solves
linear programming problems via the Simplex and Interior-Point methods.
.. versionadded:: 0.15.0
Functions
---------
.. autosummary::
:toctree: generated/
linprog
linprog_verbose_callback
linprog_terse_callback
"""
from __... | 40.650995 | 143 | 0.634342 |
b4dedc3acd601780663bee854729475c458d315c | 818 | py | Python | presto/migrations/0056_auto_20180816_0948.py | pwgbots/presto | 49622bdfb6c597c3451d9f5c589d9a1797143d4f | [
"MIT"
] | null | null | null | presto/migrations/0056_auto_20180816_0948.py | pwgbots/presto | 49622bdfb6c597c3451d9f5c589d9a1797143d4f | [
"MIT"
] | 8 | 2020-07-28T07:59:09.000Z | 2022-03-11T23:43:01.000Z | presto/migrations/0056_auto_20180816_0948.py | pwgbots/presto | 49622bdfb6c597c3451d9f5c589d9a1797143d4f | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.4 on 2018-08-16 07:48
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('presto', '0055_auto_20180815_2208'),
]
operations = [
migrations.AddField(
... | 26.387097 | 75 | 0.589242 |
3cf10124766b687e8713c783e217653c4f0301ba | 7,564 | py | Python | test/tensorflow_test.py | delding/ray | 8532ba4272556aa24b5e0c7d275c7b383815c022 | [
"Apache-2.0"
] | null | null | null | test/tensorflow_test.py | delding/ray | 8532ba4272556aa24b5e0c7d275c7b383815c022 | [
"Apache-2.0"
] | null | null | null | test/tensorflow_test.py | delding/ray | 8532ba4272556aa24b5e0c7d275c7b383815c022 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from numpy.testing import assert_almost_equal
import tensorflow as tf
import unittest
import ray
def make_linear_network(w_name=None, b_name=None):
# Define the inputs.
x_data = tf.placeholder(tf.float32... | 33.469027 | 79 | 0.691433 |
df932a1d318345b8235882775e0cd92939917f5c | 1,968 | py | Python | lib/tests/test_runner.py | xuzhiying9510/ncflow | 3f6f4a5b2c13ac8f6375b097b35f6c55b18d212e | [
"Artistic-1.0-cl8"
] | 10 | 2021-02-09T19:25:46.000Z | 2022-03-29T13:49:23.000Z | lib/tests/test_runner.py | xuzhiying9510/ncflow | 3f6f4a5b2c13ac8f6375b097b35f6c55b18d212e | [
"Artistic-1.0-cl8"
] | null | null | null | lib/tests/test_runner.py | xuzhiying9510/ncflow | 3f6f4a5b2c13ac8f6375b097b35f6c55b18d212e | [
"Artistic-1.0-cl8"
] | 5 | 2020-12-23T15:24:40.000Z | 2022-01-06T09:42:38.000Z | #! /usr/bin/env python
from .toy_problem_test import ToyProblemTest
from .reconciliation_problem_test import ReconciliationProblemTest
from .reconciliation_problem_2_test import ReconciliationProblem2Test
from .recon3_test import Recon3Test
from .optgapc1_test import OptGapC1Test
from .optgapc2_test import OptGapC2Te... | 33.931034 | 102 | 0.723069 |
d1a50a3f9e7436229e04040cd893d47631ec5b01 | 5,033 | py | Python | src/lib/detectors/base_detector.py | hieubkvn123/CenterNet | 438c1e8d0424122ece353bb20e64ff51f9444b6f | [
"MIT"
] | null | null | null | src/lib/detectors/base_detector.py | hieubkvn123/CenterNet | 438c1e8d0424122ece353bb20e64ff51f9444b6f | [
"MIT"
] | null | null | null | src/lib/detectors/base_detector.py | hieubkvn123/CenterNet | 438c1e8d0424122ece353bb20e64ff51f9444b6f | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import cv2
import numpy as np
import time
import torch
from models.model import create_model, load_model
from utils.image import get_affine_transform
from utils.debugger import Debugger
class BaseDetector(ob... | 34.951389 | 78 | 0.66362 |
9f5208b51e8e6a67eae1cac19789cc03133b7f42 | 20,406 | py | Python | sdk/python/pulumi_azure_native/datalakeanalytics/get_account.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/datalakeanalytics/get_account.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/datalakeanalytics/get_account.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from... | 44.554585 | 751 | 0.693276 |
86f6642f596353769ef97edecbd241ea64b055e4 | 7,211 | py | Python | trax/rl_trainer.py | yakovkeselman/trax | 615432bbc58ffb5bdf83a771e8f8b470995456db | [
"Apache-2.0"
] | 1 | 2020-05-30T15:19:39.000Z | 2020-05-30T15:19:39.000Z | trax/rl_trainer.py | ZachT1711/trax | a0a3dd8d49e53fc48bb24cc08c10a8a53517e7bc | [
"Apache-2.0"
] | null | null | null | trax/rl_trainer.py | ZachT1711/trax | a0a3dd8d49e53fc48bb24cc08c10a8a53517e7bc | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2020 The Trax Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 30.816239 | 79 | 0.731383 |
663e40c4d11b49d3253c606f44057700f25209a0 | 6,419 | py | Python | apps/core/backends/auth.py | sparcs-kaist/sparcssso | 9aeedc02652dadacb44c6a4ba06901f6d2372223 | [
"MIT"
] | 18 | 2015-07-06T06:20:14.000Z | 2022-03-20T23:45:40.000Z | apps/core/backends/auth.py | sparcs-kaist/sparcssso | 9aeedc02652dadacb44c6a4ba06901f6d2372223 | [
"MIT"
] | 170 | 2015-07-07T08:42:03.000Z | 2022-03-24T17:31:17.000Z | apps/core/backends/auth.py | sparcs-kaist/sparcssso | 9aeedc02652dadacb44c6a4ba06901f6d2372223 | [
"MIT"
] | 11 | 2015-07-07T20:42:19.000Z | 2022-01-12T22:39:59.000Z | import json
import logging
import re
import uuid
from urllib.parse import parse_qsl, urlencode
import ldap3
import oauth2 as oauth
import requests
from django.conf import settings
from django.contrib.auth.backends import ModelBackend
from django.contrib.auth.models import User
from apps.core.models import UserProfile... | 29.995327 | 83 | 0.618476 |
aa96ac5f62cb897c38639d4e68f348c7fcf1d769 | 1,249 | py | Python | tracker/models.py | RacherinTest/pricetracker | 4b9fc5c12301ae35fba7a78b18cf6bfd5b21a481 | [
"Apache-2.0"
] | 3 | 2020-10-03T14:37:40.000Z | 2021-03-28T17:21:44.000Z | tracker/models.py | RacherinTest/pricetracker | 4b9fc5c12301ae35fba7a78b18cf6bfd5b21a481 | [
"Apache-2.0"
] | 8 | 2021-02-08T20:41:55.000Z | 2021-09-22T18:36:38.000Z | tracker/models.py | RacherinTest/pricetracker | 4b9fc5c12301ae35fba7a78b18cf6bfd5b21a481 | [
"Apache-2.0"
] | 1 | 2020-10-03T14:37:41.000Z | 2020-10-03T14:37:41.000Z | from django.db import models
from django.contrib.auth.models import AbstractUser, User
from django.utils.crypto import get_random_string
from pricetracker.settings import AUTH_USER_MODEL
# Create your models here.
class MyUser(AbstractUser):
telegram_id = models.CharField(max_length=200)
telegram_status = m... | 34.694444 | 76 | 0.763811 |
72d2e7b85ee578fda758a101760900da45965cac | 3,123 | py | Python | mtp_api/apps/core/tests/test_admin.py | ministryofjustice/mtp-api | b1c34c29e4aa9f48598cb060abe1368ae7686e0b | [
"MIT"
] | 5 | 2016-01-05T12:21:35.000Z | 2020-10-28T17:06:02.000Z | mtp_api/apps/core/tests/test_admin.py | ministryofjustice/mtp-api | b1c34c29e4aa9f48598cb060abe1368ae7686e0b | [
"MIT"
] | 209 | 2015-06-12T09:39:41.000Z | 2022-03-21T16:01:19.000Z | mtp_api/apps/core/tests/test_admin.py | ministryofjustice/mtp-api | b1c34c29e4aa9f48598cb060abe1368ae7686e0b | [
"MIT"
] | 1 | 2021-04-11T06:19:23.000Z | 2021-04-11T06:19:23.000Z | from unittest import mock
from django.contrib.auth import get_user_model
from django.core.management import call_command
from django.urls import reverse
from django.test import TestCase
from mtp_common.test_utils import silence_logger
class RecreateTestDataViewTestCase(TestCase):
@property
def url(self):
... | 36.741176 | 79 | 0.5943 |
dba0946cd4f8f0080c5a74ac81c9f5a350bd5084 | 1,045 | py | Python | Labs/lab5/l5e2.py | felixchiasson/ITI1520 | 4208904bf7576433313524ebd1c1bdb9f49277f2 | [
"MIT"
] | null | null | null | Labs/lab5/l5e2.py | felixchiasson/ITI1520 | 4208904bf7576433313524ebd1c1bdb9f49277f2 | [
"MIT"
] | null | null | null | Labs/lab5/l5e2.py | felixchiasson/ITI1520 | 4208904bf7576433313524ebd1c1bdb9f49277f2 | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
###############################################################################
# File Name : l5e2.py
# Created By : Félix Chiasson (7138723)
# Creation Date : [2015-10-13 11:44]
# Last Modified : [2015-10-13 12:45]
# Description... | 30.735294 | 79 | 0.44689 |
69f1e438400cfe7d94491a057c076b49baf9e256 | 3,814 | py | Python | utils/augmentation.py | flytocc/RAPiD | 92e6a44b8a0107def055e93c971d78fd548562f8 | [
"MIT"
] | 142 | 2020-05-26T03:07:00.000Z | 2022-03-31T08:12:43.000Z | utils/augmentation.py | flytocc/RAPiD | 92e6a44b8a0107def055e93c971d78fd548562f8 | [
"MIT"
] | 36 | 2020-06-03T08:07:37.000Z | 2022-03-25T04:12:14.000Z | utils/augmentation.py | flytocc/RAPiD | 92e6a44b8a0107def055e93c971d78fd548562f8 | [
"MIT"
] | 46 | 2020-05-26T03:08:17.000Z | 2022-03-11T02:47:05.000Z | import random
import numpy as np
import scipy.ndimage
import torch
import torchvision.transforms.functional as tvf
import torch.nn.functional as tnf
def hflip(image, labels):
'''
left-right flip
Args:
image: PIL.Image
labels: tensor, shape(N,5), absolute x,y,w,h, angle in degree
'''
... | 26.486111 | 73 | 0.61484 |
2df4edc1521bc842558c4436eaa33a2e1d052fd4 | 184 | py | Python | keras-onnx/onnx_keras/__init__.py | jwj04ok/ONNX_Convertor | 067a17e16dfc8aa80e36f44c4523959daf7359f5 | [
"MIT"
] | 33 | 2020-06-09T21:05:35.000Z | 2022-02-24T01:48:45.000Z | keras-onnx/onnx_keras/__init__.py | jwj04ok/ONNX_Convertor | 067a17e16dfc8aa80e36f44c4523959daf7359f5 | [
"MIT"
] | 17 | 2020-07-14T19:44:09.000Z | 2022-02-10T10:03:01.000Z | keras-onnx/onnx_keras/__init__.py | jwj04ok/ONNX_Convertor | 067a17e16dfc8aa80e36f44c4523959daf7359f5 | [
"MIT"
] | 16 | 2020-06-17T22:56:11.000Z | 2021-12-21T05:44:32.000Z | # This is an empty file for the subdirectory
from . import frontend
from .helper import set_compatibility
from .helper import set_custom_layer
from .helper import set_duplicate_weights | 36.8 | 44 | 0.842391 |
47b062d3d099046df08948eb5a978abf1fb29284 | 2,104 | py | Python | LSTMModel/PrepareDataset.py | Mozartuss/DEAP_EmotionRecognition_V2 | 39bd50f327d465114ee0f798ac7bcee13b457b17 | [
"Apache-2.0"
] | 5 | 2022-01-25T19:46:19.000Z | 2022-01-28T18:07:53.000Z | LSTMModel/PrepareDataset.py | Mozartuss/DEAP_EmotionRecognition_V2 | 39bd50f327d465114ee0f798ac7bcee13b457b17 | [
"Apache-2.0"
] | null | null | null | LSTMModel/PrepareDataset.py | Mozartuss/DEAP_EmotionRecognition_V2 | 39bd50f327d465114ee0f798ac7bcee13b457b17 | [
"Apache-2.0"
] | 1 | 2022-02-23T09:52:11.000Z | 2022-02-23T09:52:11.000Z | from pathlib import Path
import numpy as np
from sklearn.preprocessing import normalize, StandardScaler
from tensorflow.keras.utils import to_categorical
from Utils.Constants import FINAL_DATASET_PATH, FINAL_DATASET_PATH_PCA, FINAL_DATASET_PATH_MRMR, FINAL_DATASET_PATH_PSO, \
FINAL_DATASET_PATH_GWO, FINAL_DATASET... | 34.491803 | 122 | 0.705798 |
5a37912dceacf56d07b3e8bacd322a8ad053c95b | 411 | py | Python | examples/download.py | alexcapstick/minder_utils | 3bb9380b7796b5dd5b995ce1839ea6a94321021d | [
"MIT"
] | null | null | null | examples/download.py | alexcapstick/minder_utils | 3bb9380b7796b5dd5b995ce1839ea6a94321021d | [
"MIT"
] | null | null | null | examples/download.py | alexcapstick/minder_utils | 3bb9380b7796b5dd5b995ce1839ea6a94321021d | [
"MIT"
] | 1 | 2022-03-16T11:10:43.000Z | 2022-03-16T11:10:43.000Z | '''
This script introduces how to download the data
'''
import os
os.chdir('..')
from minder_utils.download import Downloader
Downloader().export(since='2021-10-10', until='2021-10-12', reload=True,
save_path='./data/activity/', categories=['raw_activity_pir'])
Downloader().refresh(until='2021-1... | 25.6875 | 82 | 0.659367 |
a43ec0a8d461b0643e27ed88ad4fab502bf081ad | 68,124 | py | Python | lib/lib/mle_classes.py | jkaessens/gwas-assoc | 1053c94222701f108362e33c99155cfc148f4ca2 | [
"MIT"
] | null | null | null | lib/lib/mle_classes.py | jkaessens/gwas-assoc | 1053c94222701f108362e33c99155cfc148f4ca2 | [
"MIT"
] | null | null | null | lib/lib/mle_classes.py | jkaessens/gwas-assoc | 1053c94222701f108362e33c99155cfc148f4ca2 | [
"MIT"
] | null | null | null | import os
import os.path
import sys
import re
import gzip
import decimal
## -- several mlinfo and mldose files can be put into an object of Mlinfo -- #
## -- or Mldose -- #
class Mlinfo:
""" class Mlinfo implements tasks on Mlinfo files from MACH software ""... | 35.685699 | 110 | 0.508529 |
c60bb420ee439965704054f35a930536ccc79dd5 | 1,752 | py | Python | prs2/middleware.py | ropable/prs | 0654ca7fce5a6639f5df67905dd2e5c09a1c1f17 | [
"Apache-2.0"
] | 1 | 2016-08-21T06:45:50.000Z | 2016-08-21T06:45:50.000Z | prs2/middleware.py | dbca-wa/prs | 0654ca7fce5a6639f5df67905dd2e5c09a1c1f17 | [
"Apache-2.0"
] | 12 | 2019-02-11T00:01:01.000Z | 2022-02-01T02:07:49.000Z | prs2/middleware.py | ropable/prs | 0654ca7fce5a6639f5df67905dd2e5c09a1c1f17 | [
"Apache-2.0"
] | 4 | 2018-08-09T06:56:43.000Z | 2019-11-13T08:05:46.000Z | from django.conf import settings
from django.http import HttpResponse, HttpResponseServerError
import logging
LOGGER = logging.getLogger("healthcheck")
class HealthCheckMiddleware(object):
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
if re... | 30.736842 | 77 | 0.619863 |
30036277781490055c42f7ee2cf4328a736114ba | 3,692 | py | Python | test/functional/mining_getblocktemplate_longpoll.py | yvettep321/bitcoin | 33707a2a8828c68e3c0586bdadea52c84873d386 | [
"MIT"
] | 7 | 2020-11-09T15:10:26.000Z | 2022-03-04T21:55:39.000Z | test/functional/mining_getblocktemplate_longpoll.py | yvettep321/bitcoin | 33707a2a8828c68e3c0586bdadea52c84873d386 | [
"MIT"
] | 2 | 2021-03-29T01:09:59.000Z | 2021-07-02T04:34:25.000Z | test/functional/mining_getblocktemplate_longpoll.py | yvettep321/bitcoin | 33707a2a8828c68e3c0586bdadea52c84873d386 | [
"MIT"
] | 2 | 2021-09-05T22:45:02.000Z | 2021-09-08T16:16:40.000Z | #!/usr/bin/env python3
# Copyright (c) 2014-2020 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test longpolling with getblocktemplate."""
from decimal import Decimal
import random
import threading
... | 44.481928 | 134 | 0.685536 |
b3c31a12c8c7dd11900921555205a2cb2b093ea7 | 405 | py | Python | accounts/migrations/0002_customuser_phone_number.py | abdallah-alabed/DjangoX | f8d8f4d3f60699bf3b6fd29cca59a6644a591a42 | [
"MIT"
] | null | null | null | accounts/migrations/0002_customuser_phone_number.py | abdallah-alabed/DjangoX | f8d8f4d3f60699bf3b6fd29cca59a6644a591a42 | [
"MIT"
] | null | null | null | accounts/migrations/0002_customuser_phone_number.py | abdallah-alabed/DjangoX | f8d8f4d3f60699bf3b6fd29cca59a6644a591a42 | [
"MIT"
] | null | null | null | # Generated by Django 4.0 on 2021-12-08 12:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='customuser',
name='phone_number',
... | 21.315789 | 73 | 0.604938 |
69ab5c11be2ea7dbd3119a2d416c95f288b41681 | 2,203 | py | Python | docs/conf.py | meakio/python-proc | 0302fe62fa7990e4a8f8020fca83e7566a35e315 | [
"MIT"
] | null | null | null | docs/conf.py | meakio/python-proc | 0302fe62fa7990e4a8f8020fca83e7566a35e315 | [
"MIT"
] | null | null | null | docs/conf.py | meakio/python-proc | 0302fe62fa7990e4a8f8020fca83e7566a35e315 | [
"MIT"
] | null | null | null | """
Documentation build configuration file for the `proc` package.
"""
# Author: Peter Odding <peter@peterodding.com>
# Last Change: June 21, 2018
# URL: https://proc.readthedocs.io
import os
import sys
# Add the 'proc' source distribution's root directory to the module search path.
sys.path.insert(0, os.path.abspat... | 29.373333 | 80 | 0.695869 |
ac7a36fd698d79fb6a541fd13c8007927aef9250 | 56 | py | Python | src/ThaiPersonalCardExtract/ThaiGovernmentLottery/__init__.py | ggafiled/ThaiPersonalCardExtract | 7747086ff4d28ad9ec04f8ca7d68ac6e6f393cd4 | [
"Apache-2.0"
] | 12 | 2021-08-11T08:48:48.000Z | 2022-02-10T03:06:34.000Z | src/ThaiPersonalCardExtract/ThaiGovernmentLottery/__init__.py | ggafiled/ThaiPersonalCardExtract | 7747086ff4d28ad9ec04f8ca7d68ac6e6f393cd4 | [
"Apache-2.0"
] | 2 | 2021-08-21T16:14:39.000Z | 2022-02-17T15:31:07.000Z | src/ThaiPersonalCardExtract/ThaiGovernmentLottery/__init__.py | ggafiled/ThaiPersonalCardExtract | 7747086ff4d28ad9ec04f8ca7d68ac6e6f393cd4 | [
"Apache-2.0"
] | 7 | 2021-08-11T09:32:02.000Z | 2022-03-26T13:56:46.000Z | from .ThaiGovernmentLottery import ThaiGovernmentLottery | 56 | 56 | 0.928571 |
a64f3b9bb298a2099c68d2a32b4f6ee7111d6548 | 795 | bzl | Python | google/cloud/bigtable/examples/bigtable_examples_unit_tests.bzl | joezqren/google-cloud-cpp | 325d312b0a21569f3c57515aec7d91f3540d3b48 | [
"Apache-2.0"
] | 299 | 2019-01-31T12:17:56.000Z | 2022-03-30T15:46:15.000Z | google/cloud/bigtable/examples/bigtable_examples_unit_tests.bzl | joezqren/google-cloud-cpp | 325d312b0a21569f3c57515aec7d91f3540d3b48 | [
"Apache-2.0"
] | 6,560 | 2019-01-29T03:15:15.000Z | 2022-03-31T23:58:48.000Z | google/cloud/bigtable/examples/bigtable_examples_unit_tests.bzl | joezqren/google-cloud-cpp | 325d312b0a21569f3c57515aec7d91f3540d3b48 | [
"Apache-2.0"
] | 253 | 2019-02-07T01:18:13.000Z | 2022-03-30T17:21:10.000Z | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 36.136364 | 79 | 0.755975 |
f19feea1875d1b945c8c45fbd873163cd146cbda | 16,187 | py | Python | mne/tests/test_bem.py | enricovara/mne-python | f6f2aa7a97c3ae7ae5276202805d2f45de7b64cc | [
"BSD-3-Clause"
] | 1 | 2021-03-13T04:41:45.000Z | 2021-03-13T04:41:45.000Z | mne/tests/test_bem.py | enricovara/mne-python | f6f2aa7a97c3ae7ae5276202805d2f45de7b64cc | [
"BSD-3-Clause"
] | 28 | 2020-05-07T00:58:34.000Z | 2020-08-29T23:02:17.000Z | mne/tests/test_bem.py | hichamjanati/mne-python | b8f5e5ce0da8acfeb7298c8eb1d26a75d5526eac | [
"BSD-3-Clause"
] | 1 | 2020-07-29T15:48:58.000Z | 2020-07-29T15:48:58.000Z | # Authors: Marijn van Vliet <w.m.vanvliet@gmail.com>
#
# License: BSD 3 clause
from copy import deepcopy
from os import makedirs
import os.path as op
import re
from shutil import copy
import numpy as np
import pytest
from numpy.testing import assert_equal, assert_allclose
from mne import (make_bem_model, read_bem_su... | 41.398977 | 79 | 0.641317 |
7606af1b9446ca05e1481ccb188e83c054d738db | 111,783 | py | Python | statsmodels/regression/linear_model.py | anntzer/statsmodels | 1ccd5cdba4f9949c5c27ac4d44718893e17d7184 | [
"BSD-3-Clause"
] | 2 | 2020-04-13T15:45:38.000Z | 2020-06-01T14:41:04.000Z | statsmodels/regression/linear_model.py | giuliobeseghi/statsmodels | 1ccd5cdba4f9949c5c27ac4d44718893e17d7184 | [
"BSD-3-Clause"
] | null | null | null | statsmodels/regression/linear_model.py | giuliobeseghi/statsmodels | 1ccd5cdba4f9949c5c27ac4d44718893e17d7184 | [
"BSD-3-Clause"
] | 1 | 2020-04-13T17:21:27.000Z | 2020-04-13T17:21:27.000Z | # TODO: Determine which tests are valid for GLSAR, and under what conditions
# TODO: Fix issue with constant and GLS
# TODO: GLS: add options Iterative GLS, for iterative fgls if sigma is None
# TODO: GLS: default if sigma is none should be two-step GLS
# TODO: Check nesting when performing model based tests, lr, wald,... | 36.566241 | 132 | 0.578961 |
bf2e86812c9255316519b6a977da47f13ec5dd4c | 2,103 | py | Python | Components.py | oransimhony/pygame_components | b4d0f2fa1d0de3d37d45a8cb73e29559c2f2149b | [
"MIT"
] | null | null | null | Components.py | oransimhony/pygame_components | b4d0f2fa1d0de3d37d45a8cb73e29559c2f2149b | [
"MIT"
] | null | null | null | Components.py | oransimhony/pygame_components | b4d0f2fa1d0de3d37d45a8cb73e29559c2f2149b | [
"MIT"
] | null | null | null | import pygame
class Button:
def __init__(self, screen, x, y, w, h, color, hover_color=None, label="", label_color=(0, 0, 0), on_click=None):
self.screen = screen
self.x = x
self.y = y
self.w = w
self.h = h
self.color = color
self.hover_color = hover_color if ... | 32.353846 | 116 | 0.551593 |
c87d2ee6ae703d50c916dbedc7fcc03936880f71 | 11,839 | py | Python | tensorflow/python/saved_model/model_utils/export_test.py | abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | [
"Apache-2.0"
] | 848 | 2019-12-03T00:16:17.000Z | 2022-03-31T22:53:17.000Z | tensorflow/python/saved_model/model_utils/export_test.py | abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | [
"Apache-2.0"
] | 656 | 2019-12-03T00:48:46.000Z | 2022-03-31T18:41:54.000Z | tensorflow/python/saved_model/model_utils/export_test.py | abhaikollara/tensorflow | 4f96df3659696990cb34d0ad07dc67843c4225a9 | [
"Apache-2.0"
] | 506 | 2019-12-03T00:46:26.000Z | 2022-03-30T10:34:56.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 40.965398 | 80 | 0.710195 |
6a4bf349ce18d0ff1a0aeec2f724f4290e2da17d | 3,822 | py | Python | Ru_splitter.py | mithfin/Sentence-Splitter-for-Russian | e4abe23a124f9f5f77490a3328be3632e52b2c0a | [
"Apache-2.0"
] | 9 | 2017-03-24T22:30:40.000Z | 2021-08-19T23:16:57.000Z | Ru_splitter.py | mithfin/Sentence-Splitter-for-Russian | e4abe23a124f9f5f77490a3328be3632e52b2c0a | [
"Apache-2.0"
] | null | null | null | Ru_splitter.py | mithfin/Sentence-Splitter-for-Russian | e4abe23a124f9f5f77490a3328be3632e52b2c0a | [
"Apache-2.0"
] | 2 | 2018-10-07T03:47:28.000Z | 2019-04-16T17:03:40.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function
import collections
import re
import numpy as np
import pandas as pd
from keras.models import model_from_json
class Splitter:
def __init__(self):
self.model = model_from_json(open('./Models/keras_model.json').read())
self.model.load_we... | 35.719626 | 119 | 0.568289 |
2acb63fc123870bc66462797178e583dc18fe8d5 | 176 | py | Python | tests/conftest.py | kevinheavey/borsh-py | e49dee71716ec217e8c9966aaa621c61669f7c15 | [
"MIT"
] | 11 | 2021-10-04T19:47:22.000Z | 2022-03-27T05:27:17.000Z | tests/conftest.py | kevinheavey/borsh-py | e49dee71716ec217e8c9966aaa621c61669f7c15 | [
"MIT"
] | 8 | 2021-09-30T13:57:43.000Z | 2022-03-14T11:20:53.000Z | tests/conftest.py | kevinheavey/borsh-py | e49dee71716ec217e8c9966aaa621c61669f7c15 | [
"MIT"
] | 4 | 2021-11-13T10:46:37.000Z | 2022-03-27T05:27:20.000Z | import logging
def pytest_configure(config):
"""Flake8 is very verbose by default. Silence it.""" # noqa: DAR101
logging.getLogger("flake8").setLevel(logging.ERROR)
| 25.142857 | 72 | 0.721591 |
0a4a8a621ed1fb8a47f6046407125abf84c55ec6 | 8,972 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2018_06_01/operations/_default_security_rules_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2018_06_01/operations/_default_security_rules_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2018_06_01/operations/_default_security_rules_operations.py | rsdoherty/azure-sdk-for-python | 6bba5326677468e6660845a703686327178bb7b1 | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 48.497297 | 236 | 0.672314 |
1d19ba241cc0de3c1e19d0d1ea860cd18bb43bb1 | 645 | py | Python | rentals/migrations/0003_auto_20180308_1706.py | dpakach/RentalService | 2fe2c899b7f149ed3f0fc475100beaa0bc76619e | [
"MIT"
] | null | null | null | rentals/migrations/0003_auto_20180308_1706.py | dpakach/RentalService | 2fe2c899b7f149ed3f0fc475100beaa0bc76619e | [
"MIT"
] | 1 | 2018-11-06T03:17:14.000Z | 2018-11-06T03:17:14.000Z | rentals/migrations/0003_auto_20180308_1706.py | dpakach/RentalService | 2fe2c899b7f149ed3f0fc475100beaa0bc76619e | [
"MIT"
] | 1 | 2020-02-04T10:44:11.000Z | 2020-02-04T10:44:11.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.8 on 2018-03-08 17:06
from __future__ import unicode_literals
import django.core.validators
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [("rentals", "0002_auto_20180306_0823")]
operations = [
migra... | 25.8 | 64 | 0.590698 |
d06ee9b8d2dc8019e6201c629cf80bda7956b65a | 11,539 | py | Python | ehb_datasources/tests/unit_tests/test_nautilus_driver.py | chop-dbhi/ehb-datasources | ff26dafa0a0919abbe53277e85e019c6df3f8f88 | [
"BSD-2-Clause"
] | 2 | 2019-09-13T20:27:39.000Z | 2020-03-05T02:24:47.000Z | ehb_datasources/tests/unit_tests/test_nautilus_driver.py | chop-dbhi/ehb-datasources | ff26dafa0a0919abbe53277e85e019c6df3f8f88 | [
"BSD-2-Clause"
] | 46 | 2015-09-25T14:34:34.000Z | 2020-10-05T22:04:36.000Z | ehb_datasources/tests/unit_tests/test_nautilus_driver.py | chop-dbhi/ehb-datasources | ff26dafa0a0919abbe53277e85e019c6df3f8f88 | [
"BSD-2-Clause"
] | 5 | 2016-04-25T15:01:39.000Z | 2016-08-29T20:40:31.000Z | import pytest
import json
from ehb_datasources.drivers.nautilus.driver import ehbDriver
from ehb_datasources.drivers.exceptions import RecordCreationError, \
IgnoreEhbExceptions
@pytest.fixture()
def driver():
return ehbDriver(
url='http://example.com/api/',
user='foo',
password='bar... | 41.65704 | 320 | 0.685675 |
a8da001e887065069b4a1289c2a5f95d84b3ea09 | 4,110 | py | Python | ssd/nn/multibox_loss.py | Guillem96/ssd-pytorch | ffbb64d60c6e72c8126c2943f46b0e17298c8f81 | [
"MIT"
] | 2 | 2020-10-24T09:57:42.000Z | 2021-11-11T01:20:08.000Z | ssd/nn/multibox_loss.py | Guillem96/ssd-pytorch | ffbb64d60c6e72c8126c2943f46b0e17298c8f81 | [
"MIT"
] | null | null | null | ssd/nn/multibox_loss.py | Guillem96/ssd-pytorch | ffbb64d60c6e72c8126c2943f46b0e17298c8f81 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import torch
import torch.nn as nn
import torch.nn.functional as F
from ..boxes import match
class MultiBoxLoss(nn.Module):
"""SSD Weighted Loss Function
Compute Targets:
1) Produce Confidence Target Indices by matching ground truth boxes
with (default) 'priorboxes'... | 38.773585 | 84 | 0.589294 |
9eb8332d352feed0c89bfddcb910b39224af99d4 | 2,159 | py | Python | augraphy/augmentations/lowinkline.py | kwcckw/augraphy | b0e8cc4192eaf827e36fb67ae1b7b9c762f9578b | [
"MIT"
] | 36 | 2021-06-25T02:17:57.000Z | 2022-03-29T02:36:09.000Z | augraphy/augmentations/lowinkline.py | shaheryar1/augraphy | 5dd52fdd3b497312606c6d3afa4003f94a8cbcc4 | [
"MIT"
] | 136 | 2021-06-25T07:39:46.000Z | 2022-03-31T13:00:30.000Z | augraphy/augmentations/lowinkline.py | shaheryar1/augraphy | 5dd52fdd3b497312606c6d3afa4003f94a8cbcc4 | [
"MIT"
] | 24 | 2021-06-27T21:15:11.000Z | 2022-03-08T03:28:17.000Z | ################################################################################
# File: lowinkline.py
#
import random
import numpy as np
from augraphy.base.augmentation import Augmentation
class LowInkLine(Augmentation):
"""Generates streaking behavior common to printers running out of ink.
:param use_con... | 33.215385 | 90 | 0.628069 |
f2c1132b58e0998db2f0def99459f75d96b04916 | 2,267 | py | Python | mindarmour/defenses/natural_adversarial_defense.py | zengchen1024/mindarmour | eed59453cf048da92fe15f57dbe3ca7de8b7adcb | [
"Apache-2.0"
] | null | null | null | mindarmour/defenses/natural_adversarial_defense.py | zengchen1024/mindarmour | eed59453cf048da92fe15f57dbe3ca7de8b7adcb | [
"Apache-2.0"
] | null | null | null | mindarmour/defenses/natural_adversarial_defense.py | zengchen1024/mindarmour | eed59453cf048da92fe15f57dbe3ca7de8b7adcb | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 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... | 39.77193 | 79 | 0.651081 |
226ddb4a0bf7913211f1cc9a09ca633a11848f7d | 9,119 | py | Python | docs/conf.py | Azima1985/recommender_package | 84234b1394d797faa4e21090f99e58e639b27ebd | [
"MIT"
] | null | null | null | docs/conf.py | Azima1985/recommender_package | 84234b1394d797faa4e21090f99e58e639b27ebd | [
"MIT"
] | null | null | null | docs/conf.py | Azima1985/recommender_package | 84234b1394d797faa4e21090f99e58e639b27ebd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#
# All configuration values have a default; values that are commented out
# serve to show the default.
import os
impo... | 33.774074 | 85 | 0.704244 |
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