content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
"""
This module implements a Behler-Parinello Neural network that is compatible with Scikit learn and can therefore be
used with Osprey hyperparameter optimisation.
This code was written following closely the code written by Zachary Ulissi (Department of Chemical Engineering,
Stanford University) in the tflow.py modul... | [
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2357,
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2438... | 2.314871 | 8,251 |
import torch
import torch.nn as nn
from transformers import AutoModel
import torch.nn.functional as F
| [
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] | 3.814815 | 27 |
import pytest
import os
from stackmanager.config import Config
from stackmanager.exceptions import ValidationError
from stackmanager.loader import load_config
| [
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... | 3.320755 | 53 |
# -*- coding: utf-8 -*-
""" chat_view.py - presenter for the chat"""
__author__ = "topseli"
__license__ = "0BSD"
import os
import sys
from PyQt5 import QtWidgets, uic
from PyQt5.QtCore import pyqtSignal, pyqtSlot
if __name__ == '__main__':
run()
| [
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1,
19... | 2.415094 | 106 |
# -*- coding: utf-8 -*-
"""
FELPY
__author__ = "Trey Guest"
__credits__ = ["Trey Guest"]
__license__ = "EuXFEL"
__version__ = "0.2.1"
__maintainer__ = "Trey Guest"
__email__ = "trey.guest@xfel.eu"
__status__ = "Developement"
"""
from wpg.srw import srwlpy
from wpg.wavefront import Wavefront as WPG_Wavefront
from ma... | [
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834,
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8... | 2.39697 | 990 |
# Copyright (C) 2008 Valmantas Paliksa <walmis at balticum-tv dot lt>
# Copyright (C) 2008 Tadas Dailyda <tadas at dailyda dot com>
#
# Licensed under the GNU General Public License Version 3
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License ... | [
2,
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8,
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8,
3648,
309,
38768,
6714,
6814,
1279,
83,
38768,
379,
4445,
6814... | 3.658009 | 231 |
from dataclasses import (dataclass,
field)
from pyro.TimeElapsed import TimeElapsed
@dataclass
| [
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... | 2 | 65 |
#Script generated by SupremolecularAnalyser
import sys
sys.path.insert(0, "/net/archive/groups/plggkatksdh/pyplotTest")
import matplotlib.pyplot as plt
from simpleFilters import *
import pandas as pd
import numpy as np
import matplotlib as mpl
import matplotlib.colors as mcolors
from os.path import isdir, ... | [
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... | 2.412902 | 27,050 |
#!/usr/bin/env python
import os, sys, datetime, operator
numArgs = len(sys.argv)
if numArgs == 1:
rootDir = "/var/www/html/apps/opensha"
elif numArgs == 2:
rootDir = sys.argv[1]
else:
print "USAGE: " + sys.argv[0] + " [dir]"
sys.exit(2)
if not os.path.isdir(rootDir):
print rootDir + " is not a directory!"
... | [
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3527... | 2.275641 | 156 |
from .rambank import RAMBank
import logging
from enum import Enum
logging.basicConfig(level=logging.DEBUG)
log = logging.getLogger(name='mbc1')
class MBC1:
"""
Memory Bank Controller 1
Memory from 0x0-0x7fff is both read from and writen
to for control of MBC Registers
...
Attributes
------... | [
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13,
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7,
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11639,
2... | 1.881701 | 1,623 |
import socket
import sys
import time
PORT = 0
buffer = 1024
server = ("127.0.0.1", 12345)
clientsocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM, 0)
try:
clientsocket.bind((socket.gethostbyname(""), PORT))
print(socket.gethostbyname(""))
except:
print("[Binding Error] : Exiting...")
sys.exit(1)
while ... | [
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8,
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13,
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7,
44... | 2.555556 | 495 |
import argparse
import editdistance
from num2words import num2words
from dataset import *
from engine import *
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--engine_type', type=str, required=True)
args = parser.parse_args()
print('Engine type is %s' % str(args.... | [
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... | 2.253205 | 1,248 |
import codecs
import os
import re
def read(*parts):
"""
Build an absolute path from *parts* and and return the contents of the
resulting file. Assume UTF-8 encoding.
"""
here = os.path.abspath(os.path.dirname(__file__))
with codecs.open(os.path.join(here, *parts), "rb", "utf-8") as f:
... | [
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9,
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262,
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286,
262,
198,
220... | 3.119589 | 1,848 |
import lasagne
| [
11748,
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628
] | 4 | 4 |
import warnings
import pytest
| [
11748,
14601,
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9288,
628,
628
] | 3.777778 | 9 |
#!/usr/bin/env python
import argparse
import os
import sys
import subprocess
import github3
PROJECT_DIR = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..')
BUILD_DIR = os.path.join(PROJECT_DIR, './build')
GITHUB_API_TOKEN = os.environ.get('HOMEBREW_GITHUB_API_TOKEN')
if GITHUB_API_TOKEN:
gh = githu... | [
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7,
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... | 2.539642 | 391 |
# -*- coding: utf-8 -*-
from django.db import models
from django.utils.functional import empty
from .utils.lazymodel import model_cache_key, OBJECT_DOES_NOT_EXIST, get_model_cache
from .utils.modelutils import (
lookup_cache_key,
model_cache_deleted_cache_key,
model_row_cache_enabled,
save_lookup_cache... | [
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23... | 3.05036 | 417 |
# -*- coding: utf-8 -*-
"""
Created on Sat Dec 01 21:52:18 2018
@author: LCL
"""
from __future__ import division # for / and //
#from collections import Counter # for merge dict
import sys # for exit()
import os # for file path
global CodeUpperPath
CodeUpperPath = os.path.abspath('..')
'''
https://blog.csdn.net/... | [
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... | 1.99711 | 346 |
# -*- coding: utf-8 -*-
#
# michael a.g. aïvázis
# orthologue
# (c) 1998-2018 all rights reserved
#
# support
import pyre
# declaration
class Status(pyre.tracker):
"""
A helper that watches over a component's traits and records value changes
"""
# public data
raw = True
# meta-methods
... | [
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2,
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66,
8,
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12,
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477,
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2,
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1... | 2.452 | 250 |
from lxml import etree | [
6738,
300,
19875,
1330,
2123,
631
] | 3.666667 | 6 |
import tensorflow as tf
from basic.model import Model
from my.tensorflow import average_gradients
from my.tensorflow.general import zerout_gradients_for_zero_weights
| [
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616,
13,
83,
22854,
11125,
13,
24622,
1330,
1976,
263,
448,
62,
9744,
2334... | 3.428571 | 49 |
'''
Functionality to get ticker names and data
'''
import os
import random
import pandas as pd
import yfinance as yf
def get_random_tickers(n: int) -> list:
'''
From the available ticker data, randomly select n tickers.
'''
return random.sample(get_all_ticker_names(), n)
def get_tickers_exc_sample(n: ... | [
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69,
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651,
62,
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62,
... | 2.350888 | 1,690 |
# conding=utf-8
from .CCPRestSDK import REST
# 说明：主账号，登陆云通讯网站后，可在"控制台-应用"中看到开发者主账号ACCOUNT SID
_accountSid = '8a216da86812593601682c07861e1cad'
# 说明：主账号Token，登陆云通讯网站后，可在控制台-应用中看到开发者主账号AU... | [
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278,
28,
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112,
99,
20998,
115,
171,
120,
234,
163,
247,
119,
165,
247,
... | 1.048645 | 1,624 |
from .settings_base import *
DEBUG = False
REST_FRAMEWORK['DEFAULT_RENDERER_CLASSES'] = (
'rest_framework.renderers.JSONRenderer',
'utils.api.BrowsableAPIRendererWithoutForms',
)
| [
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62,
31631,
1546,
20520,
796,
357,
198,
220,
220,
220,
705,
2118,
62,... | 2.533333 | 75 |
from pyvista import examples
dataset = examples.download_rectilinear_grid() # doctest:+SKIP
| [
6738,
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198,
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451,
62,
25928,
3419,
220,
1303,
10412,
395,
25,
10,
18831,
4061,
198
] | 3 | 31 |
from django.contrib import admin
from reversion.admin import VersionAdmin
from . import models
admin.site.register(models.ToDoList, ToDoListAdmin)
admin.site.register(models.ToDoItem, ToDoItemAdmin)
| [
6738,
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13,
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6738,
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13,
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7,
27530,
13,
2514,
5211,
8053,
11,
1675,
5211,
805... | 3.253968 | 63 |
import numpy as np
def OrdenDeConvergencia(xNmenos2, xNmenos1, xN, xNmas1):
"""
Calcula el orden de convergencia para determinado punto aplicando la division que se realiza en la definicion.
Si algun denominador resultase nulo, no se devolvera una constante, se devuelve None.
"""
a = xNmas... | [
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355,
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201,
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201,
198,
201,
198,
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1471,
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332,
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7,
87,
45,
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418,
17,
11,
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45,
3653,
418,
16,
11,
2124,
45,
11,
2124,
45,
5356,
16,
2599,
201,
198,
220,
220,
... | 2.162909 | 1,774 |
import random
print(play())
| [
11748,
4738,
628,
628,
198,
4798,
7,
1759,
28955,
198
] | 3.2 | 10 |
# coding=utf-8
# Copyright 2022 The Google Research 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 applicab... | [
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28,
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2,
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2,
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11,
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366,
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15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
... | 3.206704 | 716 |
import pytest
from pathlib import Path
from eddington import FitData
from mock import Mock
import numpy as np
from pytest_cases import fixture_plus
from eddington_matplotlib import plot_all
from tests.plot import dummy_func
should_print_results = True
should_plot_fitting = True
should_plot_residuals = True
should_p... | [
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8019,
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355,
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198,
6738,
12972,
9288,
62,
33964,
1330,
29220,
62,
9541,
198,
... | 2.913793 | 174 |
import socket
import threading
PORT = 9090
HOST = socket.gethostbyname(socket.gethostname()) #local host
server = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server.bind((HOST, PORT))
clients = []
def start():
"""
Thread to accept clients
:return: None
"""
server.listen()... | [
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28955,
1303,
12001,
2583,
201,
198,
201,
198,
15388,
79... | 2.066049 | 863 |
import numpy as np
import sys
from scipy.special import erfcinv as erfcinv
from calc_sigmas import calc_sigmas
| [
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62,
82,
328,
5356,
220,
198,
220,
220,
220,
198... | 2.761905 | 42 |
import numpy as np
import matplotlib.pyplot as plt
from math import sqrt, floor, ceil
from scipy.interpolate import RegularGridInterpolator
from scipy.ndimage import label
import random
import warnings
import sys
import os
import csv
import cv2
from sklearn.cluster import KMeans
from PIL import Image
from ... | [
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# -*- coding: utf-8 -*-
import numpy as np
import numpy.linalg as la
import scipy as sp
# ================ ARRAY ================
# ================ STATS ================
msqrt = lambda M : [np.matmul(u,np.diag(np.sqrt(s))) for u,s,vh in [la.svd(M)]][0]
matern = lambda r,r0,nu : 2**(1-nu)/sp.special.gamma(nu)... | [
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79... | 2.13253 | 249 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import logging
from pycassa import ConnectionPool, ColumnFamily
from urllib import unquote_plus
from contrail_api_cli.command import Command, Option
from contrail_api_cli.resource import Resource, Collection
from contrail_api_cli.exceptions import Resour... | [
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64,
1330,
26923,
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11,
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198,
6738,
2956,
... | 2.4375 | 608 |
from datamart.utilities.utils import Utils
from pandas import DataFrame
from datamart.es_managers.json_query_manager import JSONQueryManager
import typing
class Dataset:
"""
Represents a retrieved dataset from datamart, in a search query.
Contains the meta info and the way to materialize the dataset.
... | [
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19... | 2.448637 | 954 |
# This file holds metadata about the project. It should import only from standard library modules
# (this includes not importing other modules in the package) so that it can be loaded
# by setup.py before dependencies are installed.
source = "https://github.com/neilpquinn/wmfdata"
version = "0.1.0" | [
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... | 3.810127 | 79 |
from collections import defaultdict
import os
# A disjoint exonic bin. This class holds disjoint exonic bin data prepared
# in the preprocessing step
#######################
#######################
# Transcript class
| [
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... | 4.25 | 52 |
import configparser
import hashlib
import logging
import os
import sys
import requests
MOJANG_MANIFEST_URL = 'https://launchermeta.mojang.com/mc/game/version_manifest.json'
DOWNLOADS_VERSIONS_FILENAME = 'servers-infos.txt'
class IntegrityCheckError(Exception):
"""Throwed if the file signature doesn't match wit... | [
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62,
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796,
705,
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1378,
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2044,
28961,
13,
5908,... | 2.341119 | 1,841 |
class News_Sources:
"""
clas to define the objects in the News_Sources class
"""
class News_Article:
"""
class to define the objects in the News_Article class
""" | [
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37227,
... | 3.015873 | 63 |
""" UDP client in python. """
import logging
import socket
import threading
from py_client.players import Player
logging.basicConfig(level=logging.DEBUG)
class UdpClient:
"""UDP client for playing Connect-N"""
# SETTING UP
# LISTENING
# RECEIVING
# SENDING
| [
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... | 2.918367 | 98 |
## Copyright 2020 UT-Battelle, LLC. See LICENSE.txt for more information.
###
# @author Narasinga Rao Miniskar, Frank Liu, Dwaipayan Chakraborty, Jeffrey Vetter
# miniskarnr@ornl.gov
#
# Modification:
# Baseline code
# Date: Apr, 2020
# ******************************************************... | [
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541,
2293... | 3.432432 | 259 |
# -*- coding: utf-8 -*-
# TODO: remove this
from flask.ext.cache import Cache
from settings import CACHE_CONFIG
cache = Cache()
| [
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... | 2.734694 | 49 |
"""
Unit tests for specific models
@author: Mathieu Doucet / UTK
"""
from __future__ import print_function
import unittest, math, time
# Disable "missing docstring" complaint
# pylint: disable-msg=C0111
# Disable "too many methods" complaint
# pylint: disable-msg=R0904
# Disable "could be a function" compla... | [
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834,
1330,
3601,
62,
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198,
198,
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555,
715,
395,... | 2.077944 | 2,938 |
import asyncio
from right import Right
| [
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198
] | 4.333333 | 9 |
# -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modif... | [
2,
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13,
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2,
198,
2,
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2438,
318,
11971,
739,
262,
24843,... | 2.594127 | 1,328 |
import os, sys
sys.path.insert(0, os.path.abspath('..'))
from WeekX.LinkedList import LinkedList
from WeekX.Stack import Stack
if __name__ == '__main__':
graph = Graph(13)
graph.addEdge(0,1)
graph.addEdge(0,5)
graph.addEdge(0,2)
graph.addEdge(0,6)
graph.addEdge(3,4)
graph.addEdge(5,3)
graph.addEdge(5,4)
gra... | [
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... | 2.327296 | 773 |
# -*- coding: utf-8 -*-
##############################################
# Export CloudWatch metric data to csv file
# Configuration file
##############################################
METRICS = {
'CPUUtilization': ['AWS/EC2', 'AWS/RDS'],
'CPUCreditUsage': ['AWS/EC2', 'AWS/RDS'],
'CPUCreditBalance': ['AWS/EC2', 'AWS/... | [
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49,
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... | 2.311041 | 1,585 |
# coding: utf-8
from __future__ import unicode_literals
import os
import shutil
import subprocess
from .ffmpeg import FFmpegPostProcessor
from ..utils import (
check_executable,
encodeArgument,
encodeFilename,
PostProcessingError,
prepend_extension,
replace_extension,
shell_quote,
ba... | [
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6307,
18709,
... | 2.764706 | 119 |
import tensorflow as tf
import RecordLoader as rloader
import numpy as np
import time
MAX_EPOCH = 1
REPEAT = 1
BATCH_SIZE = 200
TEST_TFRECORD = ''
MODEL_GRAPH = ''
MODEL_PATH = ''
with tf.Session() as sess:
saver = tf.train.import_meta_graph(MODEL_GRAPH)
saver.restore(sess, tf.train.latest_check... | [
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11401,
1404,
... | 2.250377 | 663 |
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="py_outrider",
version="0.1.0",
author="Stefan Loipfinger, Ines Scheller",
author_email="scheller@in.tum.de",
description="Python backend package for OUTRIDER2 R package",
... | [
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62,
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13,
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198,
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... | 1.967742 | 589 |
import sys
from os import environ
from unittest.mock import patch
from pynamodb.exceptions import DoesNotExist
from pytest import mark, raises
from pytest_subtests import SubTests
from geostore.api_keys import MESSAGE_KEY
from geostore.check_files_checksums.task import main
from geostore.check_files_checksums.utils i... | [
11748,
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715,
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3109,
396,
198,
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9288,
1330,
1317,
11,
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198,
... | 3.096667 | 300 |
# start_repo_marker_0
import os
from dagster import IOManager, graph, io_manager, op, repository
from pyspark.sql import DataFrame, Row, SparkSession
from pyspark.sql.types import IntegerType, StringType, StructField, StructType
@io_manager
@op
@op
@graph
make_and_filter_data_job = make_and_filter_data.to_j... | [
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62,
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198,
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279,
893,
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13,
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1330,
6060,
19778,... | 2.701299 | 154 |
import numpy as np
# from cobra.flux_analysis import flux_variability_analysis
from pytfa.analysis.variability import variability_analysis
| [
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] | 3.756757 | 37 |
# Copyright (c) 2008,2015,2016,2017,2018,2019 MetPy Developers.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""Contains a collection of basic calculations.
These include:
* wind components
* heat index
* windchill
"""
import contextlib
from itertools import produ... | [
2,
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8,
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12,
2601,
682,
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13,
198,
2,
30628,
55,
12,
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12,
33... | 2.792985 | 15,081 |
"""
问题描述：给定彼此独立的两棵树头结点分别为t1和t2，判断t1树是否包含t2树全部的拓扑结构。
"""
from binarytree.toolcls import Node
if __name__ == '__main__':
t1 = Node(1)
t1.left = Node(2)
t1.right = Node(3)
t1.left.left = Node(4)
t1.left.right = Node(5)
t1.right.left = Node(6)
t1.right.right = Node(7)
t1.left.left.left =... | [
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22... | 1.515942 | 345 |
import pymongo
config = {
# "mongo" : "mongodb://usuario:pass@localhost/admin"
# "mongo" : "mongodb://usuario:pass@localhost:27100/admin"
"mongo" : "mongodb://localhost:27100/admin"
}
myclient = pymongo.MongoClient(config['mongo'])
print('bases de datos',myclient.list_database_names())
db = myclient["tes... | [
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# coding:utf-8
# Produced by Andysin Zhang
# 06_Aug_2019
# Inspired By Google, Appreciate for the wonderful work
#
# Copyright 2019 TCL Inc. All Rights Reserverd.
# 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 ... | [
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... | 2.372003 | 7,008 |
# from .. import (
# PathManager,
# Path_,
# )
from .base import (
BaseFormat,
BaseFormats,
)
from .df import (
DFFormat,
DFFormats,
)
from .audio import (
AudioFormat,
AudioFormats,
)
from .video import (
VideoFormat,
VideoFormats,
FourCC,
)
from .img import (
ImgFormat,
ImgFormats,
) | [
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11,
198,
2,
1267,
198,
198,
6738,
764,
8692,
1330,
357,
198,
220,
7308,
26227,
11,
198,
220,
7308,
8479,
1381,
11,
198,
8,
198,
198,
6738... | 2.401515 | 132 |
import numpy as np
| [
11748,
299,
32152,
355,
45941,
628
] | 3.333333 | 6 |
from nltk import sent_tokenize
import pandas as pd
import numpy as np
import joblib
def createData(abstract):
"""
This function extracts the text from all the sentences and
extracts the positional information of the sentences in an unstructract.
Args:
abstract - raw text of unstructured abst... | [
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... | 2.517134 | 642 |
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 22 16:58:07 2018
@author: Madhur Kashyap 2016EEZ8350
"""
import math
import logging
import numpy as np
import pandas as pd
from Utils import gen_bidi_map, is_array_or_list, is_dataframe
from AudioUtils import read_sph, extract_features
from TrainUtils import... | [
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from .env import NEnv
from datetime import datetime
MODEL_NEGOTIATION = [
"DQN",
"PPO1",
"PPO2",
"GAIL",
"A2C",
"ACER",
"DDPG",
] | [
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1600... | 1.775281 | 89 |
from bs4 import BeautifulSoup
import requests
from google.cloud import firestore
from google.cloud import secretmanager
if __name__ == "__main__":
hello_pubsub(event="", context="")
| [
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2... | 3.462963 | 54 |
import os
os.environ["SYNCGIT_REPOS_DIR_NAME"] = os.path.join("tests", "fixtures")
| [
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13,
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13,
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41989,
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366,
69,
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198
] | 2.4 | 35 |
import os
import numpy as np
import re
if __name__ == '__main__':
# path = '~/.dnn/datasets/hcp/processing_odf/HCP_1200_tensor'
# process_all_odf_tensors(path)
path = '~/.dnn/datasets/hcp/processing/HCP_1200_tensor'
process_all_dti_tensors(path)
| [
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292,
1039,
14,... | 2.195122 | 123 |
""" Tools for ploting individual traces
* :py:class:`TraceDB`: Store a map between individual traces and image stacks
"""
# Imports
import pathlib
from typing import Dict, Optional, Tuple, List
# 3rd party imports
import numpy as np
import matplotlib.pyplot as plt
from skimage.feature import peak_local_max
# Our... | [
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... | 1.872631 | 14,509 |
#/bin/envs python3
#-*- encoding: utf-8 -*-
# if(re.findall(r"^>[a-zA-Z0-9]{6}$",line)):
try:
import numpy as np
except ImportError:
raise ImportError("pip3 install numpy")
try:
import pandas as pd
except ImportError:
raise ImportError("pip3 install pandas")
import os, argparse, math , re
from decimal import ... | [
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92... | 2.305556 | 252 |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
#... | [
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8,
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6127... | 3.431438 | 299 |
from typing import Dict
from typing import List
import pytest
import pytorch_lightning as pl
import torch
from torch import nn
import torch.nn.functional as F
import optuna
from optuna.integration import PyTorchLightningPruningCallback
from optuna.testing.integration import create_running_trial
from optuna.testing.in... | [
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top_card = None
player_hand = None
eventID = None
drawn_cards = None
playerTurn = None
winner = None
chosenColour = None
playable_cards = None
currentChoice = None
okPrompt = None
colourChange = None | [
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... | 3.225806 | 62 |
# ============LICENSE_START=======================================================
# org.onap.dcae
# ================================================================================
# Copyright (c) 2017-2018 AT&T Intellectual Property. All rights reserved.
# =============================================================... | [
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14... | 2.513584 | 4,233 |
from toee import *
import char_class_utils
###################################################
classEnum = stat_level_horizon_walker
###################################################
class_feats = {
}
class_skills = (skill_balance, skill_climb, skill_diplomacy, skill_handle_animal, skill_hide, skill_knowledge... | [
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13... | 3.605042 | 119 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Unit tests for txt_utils.py.
"""
from pyhandy import remove_multiple_newlines_in_txt, trim_spaces_and_tabs_from_lines_in_txt
| [
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4... | 2.405405 | 74 |
import argparse
import sys
import os
import importlib
from parser import parser
parser.parse(sys.argv[1], sys.argv[2])
| [
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13,
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58,
17,
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] | 3.05 | 40 |
"""
Copyright [2019-2020] EMBL-European Bioinformatics Institute
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 ... | [
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779,
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2... | 3.898601 | 286 |
pi = 3.14159
r = int(input())
volume = (4/3) * pi * r ** 3
print("VOLUME = %.3f" % volume) | [
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8
] | 2.113636 | 44 |
"""Change RelativeModifier.value to a Numeric/Decimal
Revision ID: 5795c29b2c7a
Revises: 19506187e7aa
Create Date: 2014-07-23 14:43:45.748696
"""
# revision identifiers, used by Alembic.
revision = '5795c29b2c7a'
down_revision = '19506187e7aa'
from alembic import op
import sqlalchemy as sa
from sqlalchemy.sql impor... | [
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25,
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21,
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68,
22,
7252,
198,
16447,
7536,
25,... | 2.768116 | 138 |
"""
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=#
Copyright (C) 2018 Fernando Serena.
#-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=#
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the ... | [
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198,
220,
49962,
739,
262,
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11,
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362,
13,
... | 4.020134 | 298 |
from PySide2.QtWidgets import QDialog, QFileDialog
from .settings_dialog_ui import Ui_SettingsDialogUi | [
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] | 3 | 34 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: Yijia Zheng
# @email : yj.zheng@siat.ac.cn
# @Time : 2020/04/11 17:40:28
import logging
import numpy as np
| [
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82... | 2.070588 | 85 |
"""/web/app/syzygy/wishlist/__init__.py
Author: Adam Green (adam.green1@maine.edu)
[Description]
Classes:
[ClassesList]
Functions:
[FunctionsList]
"""
import logging
from .model import Wishlist
from .schema import WishlistSchema
BASE_ROUTE = "wishlist"
log = logging.getLogger(__name__)
| [
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94... | 2.475806 | 124 |
def _nr():
"""Get the current INPUT_LINE_NUMBER"""
global INPUT_LINE_NUMBER
try:
return fileinput.lineno()
except RuntimeError:
return INPUT_LINE_NUMBER
| [
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19... | 2.229885 | 87 |
import tensorflow as tf
__all__ = ["auxillary_loss"]
def auxillary_loss(disc_target, disc_preds, cont_trg, cont_pred):
r"""
Args:
disc_target (tensor): a tensor representing the discriminator target ouput
disc_preds (tensor): a tensor representing the prediction of discriminator
con... | [
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62,
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62,
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70,
11,
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62,
287... | 2.604575 | 306 |
import dataclasses
import uuid
@dataclasses.dataclass
| [
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] | 2.947368 | 19 |
# -*- coding: utf-8 -*-
from django.conf.urls import include, url
from django.contrib.auth import views as auth_views
from django.contrib.auth.decorators import login_required
from rest_framework import routers
from . import views
from . import api
router = routers.DefaultRouter()
router.register(r'pages', api.PageVi... | [
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13,
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1330,
5009,
355,
6284,
62,
33571,
198,
6738,
42625... | 2.143083 | 1,265 |
import math
big = 600851475143
for i in range (3, 150000000000):
factor = big/i
if (math.floor(factor) * i == big and math.ceil(factor) * i == big):
for j in range (3, i+1):
factor2 = i/j
if (math.floor(factor2) *j == i and math.ceil(factor2) * j == i):
print("Not... | [
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7,
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8,... | 2.145455 | 220 |
#初始化login.py文件
#第一次修改 | [
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#
# Dimensional and dimensionless parameter values, and scales
#
import pybamm
import pandas as pd
import os
import numbers
import numpy as np
from pprint import pformat
class ParameterValues:
"""
The parameter values for a simulation.
Note that this class does not inherit directly from the python dictio... | [
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... | 2.186244 | 9,305 |
from sklearn.model_selection import train_test_split
import numpy as np
import os
from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
from keras.applications.mobilenet_v2 import preprocess_input
# 이미지 원본 경로
SOURCE_PATH = "../../image/"
# 이미지 타입
CLASSES = ["mask", "no_mask"... | [
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import io
import os
import zipfile
import numpy as np
from PIL import Image
from chainer.dataset import download
from chainer.dataset import DatasetMixin | [
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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import cog.models.dbutils
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"""Functions
.. autosummary::
:toctree:
identity
const
match
"""
from haskpy.types.function import function
@function
def identity(x):
"""a -> a"""
return x
@function
def const(x, y):
"""a -> b -> a"""
return x
#
# Pattern matching related functions
#
# NOTE: Currying doesn't work ... | [
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import asyncio
import aiohttp
import discord
from redbot.core import commands, Config, checks
import discord.errors
from redbot.core.bot import Red
from typing import *
import logging
import datetime
import re
from redbot.core.utils.chat_formatting import pagify, box, quote
import markdownify
log = logging.getLogger("... | [
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import copy
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
# Implementation of Soft Actor-Critic (SAC)
# Paper: https://arxiv.org/abs/1801.01290
# Soft Actor-Critic Algorithms and Applications
# https://arxiv.org/abs/1812.05905
# Implemetation of Attentive Update of Multi-Critic ... | [
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#######################################
# Project: IO_Vehicle_Detection Project
# Authors: Mateusz Smendowski, Piotr Sladowski, Adam Twardosz
# Copyright (C) Mateusz Smendowski, Piotr Sladowski, Adam Twardosz 2020
#######################################
import sys
import os
import platform
import time
from PySide2 im... | [
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# coding: utf-8
# # Mapping of production and consumption mixes in Europe and their effect on carbon footprint of electric vehicles
# This code plots the following:
# - CF of production vs consumption mixes of each country with visual indication of relative contribution to total European electricity production] ... | [
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# Adapted from: https://stackoverflow.com/questions/37935920/quantile-normalization-on-pandas-dataframe
# Citing: https://en.wikipedia.org/wiki/Quantile_normalization
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"""
The board definition should define the following variables:
PART (str): The part name of the FPGA according to the tool
"""
PART = "xcku115-flva1517-2-e"
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import argparse # to pass the argument
import cv2 # to import the openCV library
# fetching the arguments and save in dictionary
ap = argparse.ArgumentParser()
ap.add_argument("-i", "--image", required = True, help = "Enter path to the image")
args = vars(ap.parse_args())
# loading and converting the image into n... | [
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