content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
from __future__ import absolute_import
from datetime import date, datetime
from decimal import Decimal
import os
from django_google_adwords.models import ReportFile, Account, Campaign, AdGroup, \
DailyAccountMetrics, DailyCampaignMetrics, DailyAdGroupMetrics, Ad, \
DailyAdMetrics
from django.test.testcases im... | [
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62,
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13,
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1330,
635... | 3.58 | 100 |
import time
from tkinter import *
from multiprocessing import Process
import threading
info = {
'total_time': 60
}
flag = [False]
if __name__ == '__main__':
app = make_app()
app.after(0, ui_watcher)
app.mainloop()
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... | 2.505263 | 95 |
from .main import MainController
from .about import AboutController
from .login import LoginController
from .student import StudentController
from .profile import ProfileController
from .password import PasswordController
from .grades import GradesController
from .sections import SectionsController
from .term_selection... | [
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3... | 5 | 155 |
# Copyright 2021 Andreas Steck (steck.andi@gmail.com)
#
# 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 ... | [
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# -*- coding: utf-8 -*-
# Copyright 2019 SAMITorch Authors. All Rights Reserved.
#
# Licensed under the MIT License;
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/MIT
#
# Unless required by applicable law or agreed to... | [
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2... | 4.113514 | 185 |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright (c) 2010 Citrix Systems, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/L... | [
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220,
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137... | 2.227786 | 4,693 |
from subprocess import check_output
def frame_rate(file_path):
"""Use ``ffprobe`` to inspect frame rate of video file
@param file_path
@return
@throw OSError if `file_path` does not exist, or if
``ffprobe`` cannot be run (e.g. not installed)
@throw ValueError if frame rate cannot be inferred ... | [
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17143... | 1.982096 | 2,290 |
import torch
def anchor_offset(anchor_list, anchor_strides, featmap_sizes):
""" Get offest for deformable conv based on anchor shape
NOTE: currently support deformable kernel_size=3 and dilation=1
Args:
anchor_list (list[list[tensor])): [NI, NLVL, NA, 4] list of
multi-level anchors
... | [
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22... | 2.054234 | 1,051 |
#!/usr/bin/env python3
# Adapted from: https://github.com/jvdsn/crypto-attacks/blob/master/attacks/rc4/fms.py
from pwn import *
import json
from collections import Counter
context.log_level = 'info'
r = remote('178.62.73.26', 31267)
"""
Recovers the hidden part of an RC4 key using the Fluhrer-Mantin-Shamir attack.
:... | [
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... | 2.513995 | 393 |
import conf
import workers
from db.getters.experiment_groups import get_running_experiment_group
from hpsearch.exceptions import ExperimentGroupException
from hpsearch.tasks import base
from hpsearch.tasks.logger import logger
from lifecycles.experiment_groups import ExperimentGroupLifeCycle
from options.registry.grou... | [
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... | 2.332468 | 385 |
from string import Template
main() | [
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] | 4 | 9 |
import getopt
import os
import sys
import time
import argparse
import tarfile
import numpy as np
import pandas as pd
from collections import deque
import gc
import copy
import tensorflow as tf
from flatland.core.grid import grid4
from flatland.envs.rail_env import RailEnv
from flatland.utils.misc import str2bool
fr... | [
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... | 2.899083 | 872 |
from flask import Blueprint
from flask_restful import Api
from app.api.v1.views.meetups import AllMeetupsApi, SingleMeetupApi
from app.api.v1.views.questions import AllQuestionsApi, SingleQuestion
from app.api.v1.views.users import AllUsersApi
"""create variable called api_v1 that defines the blueprint and registers ... | [
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... | 2.649485 | 291 |
from functools import lru_cache
from itertools import chain
from typing import Sequence, Union
from conllu.models import TokenList, TokenTree
from scipy.stats import spearmanr
import torch
import numpy as np
import stanza
from .id_wrap import id_wrap
_SF_PUNCT = {"''", ',', '.', ':', '``', '-LRB-', '-RRB-'}
... | [
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import cv2
import numpy as np
from skimage import exposure
origin = cv2.imread('generated/images/1-ground.png/diffused/1024tk_0_progress_00000.png')
fixed = np.zeros(origin.shape, dtype=origin.dtype)
fixed[:,:,0] = cv2.equalizeHist(origin[:,:,0])
fixed[:,:,1] = cv2.equalizeHist(origin[:,:,1])
fixed[:,:,2] = cv2.equal... | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Dec 20 15:58:22 2020
@author: ayman
"""
import torch
import torch.nn.functional as F
def calc_pg_losses(batch, net, entropy_beta=0.02):
"""
Calculate Policy and Entropy losses from batch.
Parameters
----------
batch : BatchGenerat... | [
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19... | 2.47451 | 510 |
"""Contains the project's version number in ``__version__``."""
import pkg_resources
__all__ = ['__version__']
#: The project version string.
__version__: str = pkg_resources.require("pymap")[0].version
| [
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# -*- coding: utf-8 -*-
import io
import random
from pathlib import Path
import mplfinance as fplt
import pandas as pd
import requests
# Program arguments
ticker = 'aapl.us' # use ticker as in stooq.com
foresight = 7 # in days
hindsight = 30 # in days
number_of_data = 1000 # to use in model
if __name__ == '_... | [
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... | 2.685039 | 127 |
import pickle
import torch
from torch import nn
import numpy as np
from scipy import linalg
from tqdm import tqdm
from calc_inception import load_patched_inception_v3
import pdb
import os
import csv
from glob import glob
import math
from torch.nn import functional as F
from matplotlib import pyplot as plt
@torch.no_... | [
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... | 2.249015 | 1,269 |
import pytest
from dicomtrolley.exceptions import DICOMTrolleyException
from dicomtrolley.wado import InstanceReference
from tests.conftest import set_mock_response
from tests.mock_responses import (
MockWadoParameters,
WADO_RESPONSE_DICOM,
WADO_RESPONSE_INVALID_DICOM,
WADO_RESPONSE_INVALID_NON_DICOM,
... | [
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... | 2.194485 | 689 |
import datetime
import time
from pymongo import MongoClient
import pymongo
import logging
from archon.config import *
import archon.facade as facade
import archon.exchange.exchanges as exc
from archon.model import models
import archon.orderbooks as orderbooks
from archon.feeds import cryptocompare
from archon.util im... | [
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1... | 3.349112 | 169 |
# Generated by Django 3.2.13 on 2022-06-09 17:48
from django.db import migrations, models
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628
] | 2.875 | 32 |
import socket
import threading
import sys
if (len(sys.argv) > 1):
client = Client(sys.argv[1], int(sys.argv[2]))
else:
server = Server()
server.run() | [
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... | 2.41791 | 67 |
import re
import pandas as pd
from pandas.tseries.offsets import BDay
def get_av_security_tickets(df):
""" PURE FUNCTION
"""
assert isinstance(df, pd.DataFrame)
mask_ci = (df["AP_SD_CI_ID"].isin([9926, 8696]))
description_regex = "(anti)?virus|^vol.?$|pirat(é|e)|malware|(mc)?afee"
... | [
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7... | 2.143443 | 7,557 |
from os import system
if __name__=="__main__":
print("""
_______ _ _______ _______
|__ __(_) |__ __| |__ __|
| | _ ___ | | __ _ ___ | | ___ ___
| | | |/ __| | |/ _` |/ __| | |/ _ \ / _ \\
| | | | (... | [
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... | 2.084746 | 413 |
N=int(input())
flag=False
for i in range(1,10):
m=N/i
if m.is_integer() and 1<=m<=9:
flag=True
break
print("Yes" if flag else "No") | [
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... | 1.9375 | 80 |
# cvae.py is designed to use: "action" or ("action", "target position") as condition. cvae_new.py is designed to use ("target position" and "robot position") as condition
from __future__ import print_function, division, absolute_import
from torch.autograd import Variable
import torch as th
import numpy as np
import ... | [
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4... | 2.338553 | 1,341 |
import random
cnt = 0
# 本质为一次插入排序
if __name__ == '__main__':
arr = []
[arr.append(random.randint(-100, 100)) for i in range(random.randint(10000, 10000))]
print(arr)
shell_sort(arr)
print(arr)
print(sorted(arr))
print(len(arr))
print(cnt)
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8... | 1.950704 | 142 |
##
## @file custom_voc_detection.py
## @brief Custom Pascal VOC Detection Dataset Class
## @author Keitetsu
## @date 2020/05/20
## @copyright Copyright (c) 2020 Keitetsu
## @par License
## This software is released under the MIT License.
##
import os
import numpy as np
... | [
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'''
uses pyOSC package
and adapted from code
- from nifty / anton.augsburg (https://git.imld.de/imlprojects/niftytransfer/blob/master/src/net/py_osc_server.py)
- from pyOSC example (https://gitorious.org/pyosc/devel/source/633c0112318a3519314aa798a552a092566c73c1:examples/knect-rcv.py#L14-15)
'''
import types
from OSC... | [
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... | 2.369097 | 2,414 |
import copy
from typing import Dict
from algorithms.configuration.entities.entity import Entity
class Obstacle(Entity):
"""
This is an entity which blocks movement access for the agent.
The agent is not allowed to step on it or collide with it.
"""
| [
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... | 3.573333 | 75 |
# a dictionary of item notes
items = {
"Bartali Sailboat": ["Buy from Proix. 10 mil"],
"Epheria Sailboat": ["Buy on CM or craft from Bartali Sailboat", "Improved Sailboat works for Caravel"],
"Epheria Frigate": ["Buy on CM or craft from Bartali Sailboat", "Improved Frigate works for Galleass"],
"Epheria Caravel": ... | [
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16477... | 3.065751 | 2,038 |
import sys
import os
import numpy as np
import scipy.sparse as sp
from lib.smpl import Smpl
from lib.maps import normalize
if sys.version_info[0] == 3:
import _pickle as pkl
else:
import cPickle as pkl
| [
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#
# Autogenerated by Thrift Compiler (0.13.0)
#
# DO NOT EDIT UNLESS YOU ARE SURE THAT YOU KNOW WHAT YOU ARE DOING
#
# options string: py
#
from thrift.Thrift import TType, TMessageType, TFrozenDict, TException, TApplicationException
from thrift.protocol.TProtocol import TProtocolException
from thrift.TRecursive impo... | [
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... | 2.285985 | 15,326 |
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
from .web_view import VizSeqWebView
from .data_view import VizSeqDataPageView, DEFAULT_PAGE_SIZE, DEFAULT_PAGE_NO
from .d... | [
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42... | 2.577982 | 218 |
import sys
import codecs
from random import shuffle
if __name__ == "__main__":
# Usage: python split_train_ensemble.py ../datasets/cp3/oromo/cp3_train.conll ../datasets/cp3/oromo/ 5
fname = sys.argv[1]
write_to_folder = sys.argv[2]
split_num = int(sys.argv[3])
split(fname, write_to_folder, split_... | [
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1... | 2.347826 | 138 |
import pykorbit
email = "ceo_jo@gmail.com"
password = "mypassword"
key = "TVMtMRtcap22CRnFeegege84cNDuTJVmvv9FaGWJTRriY7b8cWKIez7eGGkzan0"
secret = "MEasLLFhahGAyUucm7refegEEgpvBfTUe3A2DiMA48o4egegEEv9pBmLUq4e3pM"
korbit = pykorbit.Korbit(email, password, key, secret)
order = korbit.cancel_order("XRP", "12886793")
pr... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Virtualchain
~~~~~
copyright: (c) 2014 by Halfmoon Labs, Inc.
copyright: (c) 2015 by Blockstack.org
This file is part of Virtualchain
Virtualchain is free software: you can redistribute it and/or modify
it under the terms of the GNU... | [
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8... | 2.514335 | 2,337 |
import json
import pandas as pd
def project_raw_twitter_to_text_lang(path_to_raw_data):
"""
Yield text and lang fields from raw tweets
"""
with open(path_to_raw_data, 'r') as raw:
for line in raw:
json_line = json.loads(line)
yield {
'text': json_line['d... | [
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24... | 2.187097 | 310 |
# -*- coding: utf-8 -*-
import mysql.connector as mydb
conn = mydb.connect(
host="localhost",
port="3306",
user="rhoen",
password="pass",
database="book"
)
# カーソルの作成
cur = conn.cursor()
# ＳＬＱ文の実行
cur.execute("select * from author where author_id like '%S%'")
# 実行結果を取得
rows = cur.fetchall()
# 実... | [
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... | 1.697318 | 261 |
"""Lexical analysis base for telegram bots."""
from .message import (
Chat,
ChatType,
Message,
MessageEntity,
MessageEntityType,
User,
)
from .token import (
BotCommandToken,
CashtagToken,
CommaToken,
DotToken,
EmailToken,
HashtagToken,
MentionToken,
QuestionToke... | [
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... | 2.523179 | 151 |
"""Multiclass and multilabel classification strategies.
This file implements an one-vs-one multiclass learning algorithm that uses
over sampling algorithms and variances of the decision function.
"""
from __future__ import division
import numpy as np
from itertools import product
from sklearn.multiclass import OneVs... | [
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198,... | 2.350195 | 5,891 |
# -*- coding: utf-8 -*-
from odoo import models, fields, api,tools,_
import calendar
from datetime import timedelta, date
import datetime
import re
from threading import Timer, Thread
#import imp
import sys
#reload(sys)
#sys.setdefaultencoding("utf8")
from odoo.exceptions import UserError
import logging
_logger = loggi... | [
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19... | 3.21374 | 131 |
# Generated by Django 2.0.1 on 2018-01-13 14:24
from django.db import migrations, models
| [
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] | 2.84375 | 32 |
from typing import NamedTuple, Callable
add_p = Primitive('add')
mul_p = Primitive('mul')
neg_p = Primitive("neg")
sin_p = Primitive("sin")
cos_p = Primitive("cos")
reduce_sum_p = Primitive("reduce_sum")
greater_p = Primitive("greater")
less_p = Primitive("less")
transpose_p = Primitive("transpose")
broadcast_p = Prim... | [
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... | 2.492524 | 2,207 |
import requests
import json
import os
HOUSTON_SERVICE_URL=os.environ['HOUSTON_SERVICE_URL']
url = f"http://{HOUSTON_SERVICE_URL}/api/landingzoneprogressitem/"
# Additional headers.
headers = {'Content-Type': 'application/json' }
| [
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4192... | 2.752809 | 89 |
#-*- coding: utf-8 -*-
# from Tkinter import * # 引入模块
# resize函数是用来改变文字大小的，当进度条改变时调用
# def resize(ev=None):
# label.config(font='Helvetica -%d bold' % scale.get())
# config函数就是通过设置组件的参数来改变组件的，这里改变的是font字体大小
# top = Tk() # 主窗口
# top.geometry('600x400') # 设置了主窗口的初始大小600x400
# 设置标签字体的初始大小
# label = Label(top, t... | [
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... | 2.167418 | 3,106 |
#Curso #7 Templates tags
from flask import Flask
from flask import render_template
app = Flask(__name__)
#app = Flask(__name__, template_folder = 'prueba_template')
#para darle una carpeta en especifico
@app.route('/user/<name>')
if __name__ == '__main__':
app.run(debug = True, host="127.0.0.1", port=9566) | [
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11055,... | 2.603306 | 121 |
from coin.utils.format import format
| [
6738,
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26791,
13,
18982,
1330,
5794,
628,
198
] | 3.9 | 10 |
#-*-coding:utf-8-*-
# date:2020-05-07
# Author: xiang li
from __future__ import print_function
import argparse
import os
import sys
import time
sys.path.append('./')
import torch
import torch.nn as nn
from models.resnet import resnet18, resnet34, resnet50, resnet101, resnet152
from models.mobilenetv2 import MobileNetV... | [
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11748... | 1.903901 | 3,153 |
import numpy as np
import typing
from typing import Any, List, Text
from rasa.nlu.config import RasaNLUModelConfig
from rasa.nlu.featurizers import Featurizer
from rasa.nlu.tokenizers import Token
from rasa.nlu.training_data import Message, TrainingData
if typing.TYPE_CHECKING:
import mitie
from rasa.nlu.constan... | [
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1... | 2.36087 | 230 |
# -------------------------------------------------------------------------
#
# Part of the CodeChecker project, under the Apache License v2.0 with
# LLVM Exceptions. See LICENSE for license information.
# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
#
# ---------------------------------------------------... | [
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13,
198,
2,
220,
30628... | 4.77381 | 84 |
import json
import os
for language in ['java']:
print(language)
train,valid,test,codebase=[],[],[], []
for root, dirs, files in os.walk(language+'/final'):
for file in files:
temp=os.path.join(root,file)
if '.jsonl' in temp:
if 'train' in temp:
... | [
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... | 1.662592 | 1,227 |
import os
import cv2
import numpy as np | [
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198,
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299,
32152,
355,
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] | 3 | 13 |
import os
ANGEL_BOT_TOKEN = os.environ['ANGEL_BOT_TOKEN']
PLAYERS_FILENAME = os.environ['PLAYERS_FILENAME']
CHAT_ID_JSON = os.environ['CHAT_ID_JSON']
ANGEL_ALIAS = os.environ['ANGEL_ALIAS']
MORTAL_ALIAS = os.environ['MORTAL_ALIAS']
'''
only important for singlebot
'''
| [
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17816,
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487... | 2.327586 | 116 |
import vkquick as vq
app = vq.App()
@app.command("ping", "пинг")
app.run("$BOT_TOKEN") | [
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62,
104... | 2 | 46 |
#!/usr/bin/env python3
"""player module."""
class Player:
"""Player for Tic Tac Toe."""
def __init__(self, token):
"""Initialize object."""
self._token = token.upper()
def get_token(self):
"""Return the token of this player."""
return self._token
def __repr__(self):
... | [
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... | 2.503106 | 161 |
import torch
import os
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import glob
from torchvision import transforms as T
from torch.utils.data import DataLoader, Dataset
from utils.transforms import DataAugmentation
from utils.visualize import image_with_mask_torch
from dataset.triplet_sample... | [
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... | 1.622285 | 4,281 |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression,Ridge,ElasticNet,ElasticNetCV,LassoCV,SGDRegressor,RidgeCV
from collections import defaultdict
import json
import statsmodels.api as sm
from sklearn.preprocessing import StandardScaler, Polyno... | [
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11... | 1.90659 | 4,689 |
import pytest
from telliot_core.apps.core import TelliotCore
@pytest.mark.asyncio
@pytest.mark.asyncio
@pytest.mark.asyncio
@pytest.mark.asyncio
@pytest.mark.asyncio
@pytest.mark.asyncio
@pytest.mark.asyncio
@pytest.mark.asyncio
| [
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198,
31,... | 2.299065 | 107 |
# This test suite relies pytest-djangoapp
| [
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import argparse
from pathlib import Path
from tqdm import tqdm
import yaml
import torchaudio
def fixed_length_segmentation(
path_to_wavs: str, path_to_segmentation_yaml: str, segment_length: int
) -> None:
"""
Produces a fixed-length segmentation of a collection of audios with segment-length seconds
a... | [
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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import postgres.fields.interval_field
import postgres.fields.range_fields
import tests.models
import postgres.fields
import postgres.fields.uuid_field
import postgres.operations
import uuid
import decimal
import dj... | [
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3... | 3.314286 | 105 |
from __future__ import absolute_import, division # makes KratosMultiphysics backward compatible with python 2.6 and 2.7
# Import packages
import numpy as np
'''
This utility contains the classes to perform the Continuation Multilevel Monte Carlo (CMLMC) and the Monte Carlo (MC) algorithms
References:
M. Pisaroni, S... | [
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1... | 2.519287 | 2,411 |
import json
import os
from flask import Flask, render_template, json, current_app as app
from covid_data import timer,data_generaion,generator
from apscheduler.schedulers.background import BackgroundScheduler
app = Flask(__name__)
# For debuging
app.debug = True
sched = BackgroundScheduler(daemon=True)
sched.add_j... | [
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... | 2.656151 | 317 |
import logging
import pyspark
from epsel import ensure_basic_logging
LOG_FORMAT = "___ %(name)s %(levelname)s %(message)s"
logger = logging.getLogger("job_log_process")
@ensure_basic_logging(level=logging.INFO, format=LOG_FORMAT)
if __name__ == '__main__':
logging.basicConfig(level=logging.INFO, format=LOG_... | [
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... | 2.607692 | 130 |
import random
import math
print(f"-----===== Start =====-----\n")
# Problem 1.
# A crack team of love scientists from JeUp (a hot new dating site) have devised a way to represent dating profiles as rectangles on a two-dimensional plane.
# They need help writing an algorithm to find the intersection of two users' love... | [
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... | 2.972304 | 1,697 |
#!/usr/bin/env python3
# coding: utf-8
# ---------- #
# Data Tools #
# ---------- #
### Modules
# standard library
import os
from bisect import bisect_left
from os.path import join, normpath
import csv
import json
# dependencies
import numpy as np
from scipy.signal import savgol_filter
# custom code
from pupil_code... | [
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"""
The `model` module contains code for managing the execution of
the simulation. The base class `Model` should be subclassed
when creating new model types, such as an SIR or SEIR model.
A function is required alongside each model class to run
the simulation due to the way that Python objects are passed
between proces... | [
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... | 2.535316 | 1,076 |
"""
Runner for a Django Python function
"""
from __future__ import absolute_import
import uuid
from ..event import BaseEvent
from ..utils import add_data_if_needed
from ..constants import EPSAGON_HEADER_TITLE
class DjangoRunner(BaseEvent):
"""
Represents Python Django event runner.
"""
ORIGIN = 'run... | [
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... | 2.111888 | 1,001 |
# 14_2048_autoplay.py
# Dieses Script soll mittels Selenium die Website https://play2048.co/ öffnen und
# durch ein Bestimmtes Muster von Tasteneingaben das entsprechende Spiel spielen.
# https://play2048.co/
# Spielmuster: hoch, rechs, unten, links
import os
from selenium import webdriver
from selenium.webdriver.comm... | [
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import numpy as np
import matplotlib.pyplot as plt
import pickle
from scipy import sparse
import hdbscan
from sklearn.cluster import DBSCAN
from scipy.spatial.distance import euclidean
from fastdtw import fastdtw
from collections import Counter
from tslearn.clustering import TimeSeriesKMeans, GlobalAlignmentKernelKMean... | [
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... | 3.17094 | 117 |
import requests
import json
import time
import pandas as pd
import matplotlib.pyplot as plt
import deepdish as dd
from apis.worldtradingdata_com import WtdsDataSource
SYMBOL = "SPCE"
PAUSE_TICKER = 60
hist = []
prs = []
ds = WtdsDataSource()
for a in range(1):
d = ds.get_live("SPCE")
p = float(d['data'][0]... | [
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498... | 2.185022 | 227 |
import numpy as np
import pandas as pd
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.cluster import KMeans
"""
######################################################################################
Global functions definitions:
###############################################################... | [
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1... | 2.294444 | 1,800 |
from django.urls import reverse
from service_catalog.models import RequestState
from tests.test_service_catalog.base_test_request import BaseTestRequest
AUTHORIZED_STATES = [RequestState.SUBMITTED]
| [
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19... | 3.241935 | 62 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: Pieter Huycke
email: pieter.huycke@ugent.be
GitHub: phuycke
"""
#%%
res = add_frac((1, 2), (4, 2))
print(res)
res = multiply_frac((1, 3), (1, 4))
print(res) | [
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71... | 1.973913 | 115 |
import subprocess
import logging
if __name__ == '__main__':
print(select_gpu()) | [
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# importing the Kratos Library
import KratosMultiphysics as KM
import KratosMultiphysics.ShallowWaterApplication as SW
## Import base class file
from KratosMultiphysics.ShallowWaterApplication.shallow_water_base_solver import ShallowWaterBaseSolver
| [
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198... | 3.571429 | 70 |
list_of_concepts = [ ['Python', 'Python is a Programming Language'],
['For Loop', 'For Loops allow you to iterate over lists'],
['Lists', 'Lists are sequences of data'] ]
print generate_HTML_list(list_of_concepts)
| [
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220,... | 2.120301 | 133 |
from ipsframework.taskManager import TaskManager
import pytest
import shutil
from unittest import mock
@pytest.mark.skipif(not shutil.which('mpirun'), reason="missing mpirun")
| [
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4758... | 3.22807 | 57 |
import numpy as np
import librosa
from sklearn.preprocessing import MinMaxScaler
# Ordered Chromagram Magnitude Indexes
# OCMI normalized
# uses relative distances to the most prominent index
# delta-ocmi measures the difference between two frames
# key-insensitive
| [
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2,... | 3.898551 | 69 |
# @lc app=leetcode id=676 lang=python3
#
# [676] Implement Magic Dictionary
#
# https://leetcode.com/problems/implement-magic-dictionary/description/
#
# algorithms
# Medium (55.97%)
# Likes: 864
# Dislikes: 168
# Total Accepted: 56K
# Total Submissions: 99.9K
# Testcase Example: '["MagicDictionary", "buildDict"... | [
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... | 2.353571 | 1,120 |
import abc
import copy
from collections import OrderedDict
import logging
import typing
import numpy as np
from smac.tae.execute_ta_run import StatusType
from smac.runhistory.runhistory import RunHistory, RunKey, RunValue
from smac.configspace import impute_inactive_values
import smac.epm.base_imputor
from smac.utils... | [
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1330... | 2.715867 | 271 |
import os
import time
import argparse
import datetime
from src.shared import eyetracking
BASE_OUTPUT_DIR = '/home/basile/tests'
if __name__ == "__main__":
parsed = parse_args()
start_eyetracker(parsed)
| [
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from .multi_bracket_validation import multi_bracket_validation
import pytest
# __init__
| [
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] | 3.214286 | 28 |
import abc
import PyQt5.QtCore
from .observer import Observer
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from typing import Dict, Optional
from django_elasticsearch_dsl import fields
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"""
C{fstypes.py} module contains the implementation of feature
value types as defined in the FUF manual (v5.2)
"""
from sexp import *
from nltk.featstruct import CustomFeatureValue, UnificationFailure
class FeatureTypeTable(object):
"""
The C{FeatureTypeTable} maintains relationships between
a given feat... | [
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# Copyright 2020 Nagoya University (Tomoki Hayashi)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
"""Text-to-speech ESPnet model."""
from contextlib import contextmanager
from distutils.version import LooseVersion
from typing import Dict
from typing import Optional
from typing import Tuple
import torch... | [
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import logging
import paho.mqtt.client as mqtt
import config
logger = logging.getLogger(__name__)
def on_connect(client, userdata, rc):
"""
The callback for when the client receives a CONNACK response from the server.
Subscribing in on_connect() means that if we lose the connection and
reconnect the... | [
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import json
from pathlib import Path
from pytest import fixture
@fixture
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from diagrams import Diagram
from diagrams.aws.network import ELB
from diagrams.aws.compute import EC2
from diagrams.aws.database import RDS
with Diagram("Groupd Worker", direction="TB"):
ELB("lb") >> [
EC2("worker1"),
EC2("worker2"),
EC2("worker3"),
EC2("worker4"),
EC2("worker5"),
] >> RDS("ev... | [
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from importlib import reload
import os
import pandas as pd
import numpy as np
import gzbuilderspirals.pipeline as gzbp
import gzbuilderspirals.metric as gzbm
import gzbuilderspirals as gzb
import lib.galaxy_utilities as gu
gzb = reload(gzb)
gzbp = reload(gzbp)
gzbm = reload(gzbm)
id_list = np.loadtxt('lib/subject-id-... | [
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import scluster
if __name__ == '__main__':
test()
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y1 = [ 8.40562e-01, 8.45339e-01, 8.50050e-01, 8.54752e-01, 8.59376e-01, 8.64032e-01, 8.68617e-01, 8.73157e-01, 8.77641e-01]
y2 = [ 8.59901e-01, 8.59751e-01, 8.59621e-01, 8.59521e-01, 8.59376e-01, 8.59251e-01, 8.59144e-01, 8.59030e-01, 8.58911e-01]
y3 = [ 8.40052e-01, 8.44962e-01, 8.49800e-01, 8.546... | [
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... | 1.757353 | 544 |
import numpy as np
class LinearSVM(LinearClassifier):
""" A subclass that uses the Multiclass SVM loss function """
def svm_loss_vectorized(W, X, y, reg):
"""
Structured SVM loss function, vectorized implementation.
Inputs and outputs are the same as svm_loss_naive.
"""
loss = 0.0
dW = np.zeros(W.sha... | [
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... | 2.562305 | 642 |
"""
Test nothing, so that ``tox`` does not exit with an error code
"""
def test_nothing():
"""Tests that Python is running"""
pass
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... | 3.155556 | 45 |
import deepchem as dc
import numpy as np
import pandas as pd
import optuna
from functools import reduce
import cytoxnet.dataprep.io as io
import cytoxnet.dataprep.dataprep as dataprep
import cytoxnet.dataprep.featurize as feat
from cytoxnet.models.models import ToxModel
import cytoxnet.models.opt as opt
## !!!!!!temp... | [
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"""
Name: Pre-processing class file
Description: This file contains pre-processing classes.
Version: [release][3.2]
Source url: https://github.com/OPHoperHPO/image-background-remove-tool
Modified by humanova (humanova)[https://github.com/humanova].
Changes:
1. Removed method_detect function.
2. Moved __init__ i... | [
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... | 2.278409 | 3,696 |
import os
import sys
sys.path.append('/home-4/yhe23@jhu.edu/work/yuan/tools/python_lib/lib/python2.7/site-packages')
import os
import sys
sys.setrecursionlimit(10000)
sys.path.append('/home-4/yhe23@jhu.edu/work/yuan/tools/python_lib/lib/python2.7/site-packages')
sys.path.append('/home-4/yhe23@jhu.edu/work/yuan/tools/py... | [
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