content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
from .jsonc import load, loads, dump, dumps
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##########################################################################
#
# Copyright 2008-2009 VMware, Inc.
# All Rights Reserved.
#
# 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 withou... | [
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2,... | 1.937797 | 6,527 |
__version__ = '4.64.0'
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import gym
from gym import spaces, error, utils
from gym.utils import seeding
import numpy as np
import configparser
from os import path
import matplotlib.pyplot as plt
from matplotlib.pyplot import gca
font = {'family': 'sans-serif',
'weight': 'bold',
'size': 14}
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... | 2.83 | 100 |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
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779,
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... | 3.826303 | 403 |
import multiprocessing as mp
import subprocess
import shutil
import os
from ..helper import make_path_safe, thirdparty_binary, filter_scp
from ..exceptions import CorpusError
def mfcc(mfcc_directory, num_jobs, feature_config, frequency_configs):
"""
Multiprocessing function that converts wav files into MFCC... | [
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6738... | 2.435774 | 833 |
"""
A number of static methods for interpretting the state of the fantasy football pitch that aren't required directly by
the client
"""
from ffai.core import Game, Action, ActionType
from ffai.core.procedure import *
from ffai.util.pathfinding import *
from typing import Optional, List, Dict
def blitz_used(game: G... | [
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... | 2.462126 | 6,416 |
# -*- coding: utf-8 -*-
"""sb-fastapi CLI root."""
import logging
import click
from sb_backend.cli.commands.serve import serve
cli.add_command(serve)
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import dash
from dash import html
app = dash.Dash(__name__)
app.layout = html.Div(children=[html.H1('Data Science',
style = {'textAlign': 'center',
'color': '#0FD08D',
'font-size': '... | [
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2... | 1.437956 | 959 |
# -*- coding: utf-8 -*-
###################################################################################
from gluon import current
from helper import get_constant, execute_remote_cmd, config, get_datetime, \
log_exception, is_pingable, get_context_path
from libvirt import * # @UnusedWildImport
from log_handler ... | [
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... | 2.30407 | 31,917 |
# Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""This module wraps the Android Asset Packaging Tool."""
import os
from devil.utils import cmd_helper
from pylib import constants
_AAPT_PATH = os.path.jo... | [
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37811... | 2.887218 | 399 |
setvar('nsamples', getvar('a') + getvar('b'))
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"""Core recipes for Psi4"""
from __future__ import annotations
from dataclasses import dataclass
from typing import Any, Dict
from ase.atoms import Atoms
from ase.calculators.psi4 import Psi4
from jobflow import Maker, job
from monty.dev import requires
try:
import psi4
except:
psi4 = None
from quacc.schemas... | [
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... | 3.007042 | 142 |
#Main Program
from Class import Barang
import Menu
histori = list()
listBarang = [
Barang('Rinso', 5000, 20),
Barang('Sabun', 3000, 20),
Barang('Pulpen', 2500, 20),
Barang('Tisu', 10000, 20),
Barang('Penggaris', 1000, 20)
]
while True:
print('''
Menu
1. Tampilkan Barang
2. Tambahkan Barang
3. Ta... | [
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... | 2.206278 | 446 |
#coding:utf-8
import numpy as np
import tensorflow as tf
import os
import time
import datetime
import ctypes
import threading
import json
ll1 = ctypes.cdll.LoadLibrary
lib_cnn = ll1("./init_cnn.so")
ll2 = ctypes.cdll.LoadLibrary
lib_kg = ll2("./init_know.so")
bags_sum = 0.0
bags_hit_NA = 0.0
sum_NA = 0.0
su... | [
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#!/usr/bin/env python3
"""get tag from http://demo.illustration2vec.net/."""
# note:
# - error 'ERROR: Request Entity Too Large' for file 1.1 mb
# <span style="color:red;">ERROR: Request Entity Too Large</span>
from collections import OrderedDict
from pathlib import Path
from pprint import pformat
import imghdr
import ... | [
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13601... | 2.323905 | 2,192 |
"""Functions for builtin CherryPy tools."""
import logging
import re
from hashlib import md5
import six
from six.moves import urllib
import cherrypy
from cherrypy._cpcompat import text_or_bytes
from cherrypy.lib import httputil as _httputil
from cherrypy.lib import is_iterator
# Conditional HTT... | [
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... | 2.392388 | 7,225 |
'''Utility functions'''
import multiprocessing
from .globalVariables import *
def readMathIOmicaData(fileName):
'''Read text files exported by MathIOmica and convert to Python data
Parameters:
fileName: str
Path of directories and name of the file containing data
... | [
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... | 2.303725 | 1,396 |
#! /usr/bin/env python
#adam-does# runs SeeingClearly to get the seeing and rms of the image, then uses those to get sextractor thresholds for CR detection
#adam-use# use with CRNitschke pipeline
#adam-call_example# call it like ./get_sextract_thresholds.py /path/flname.fits output_file.txt
#IO stuff:
import sys ; sys... | [
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2,... | 2.429045 | 1,508 |
import time
import multiprocessing
| [
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] | 3.888889 | 9 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from unittest import skipIf
try:
from django.core.urlresolvers import reverse
except ModuleNotFoundError:
from django.urls import reverse
from django.db import transaction
from aldryn_reversion.core import create_revision as aldryn_create_revisio... | [
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198,
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14208,... | 3.094118 | 255 |
# Library for the dynamics of a lumen network
# The lumen are 2 dimensional and symmetric and connected with 1 dimensional tubes
#
# Created by A. Mielke, 2018
# Modified by M. Le Verge--Serandour on 8/04/2019
"""
network.py conf.init
Defines the class network and associated functions
Imports
... | [
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2,
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4... | 2.875 | 184 |
# Illustrate upsampling in 2d
# Code from Jason Brownlee
# https://machinelearningmastery.com/generative_adversarial_networks/
import tensorflow as tf
from tensorflow import keras
from numpy import asarray
#from keras.models import Sequential
from tensorflow.keras.models import Sequential
#from keras.layers import... | [
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... | 2.462141 | 383 |
__all__ = ['scaffold', 'command_set']
from gevent import monkey
monkey.patch_all()
import csv
import os
import sys
import time
import shutil
from typing import List
import gevent
from src.BusinessCentralLayer.setting import logger, DEFAULT_POWER, CHROMEDRIVER_PATH, \
REDIS_MASTER, SERVER_DIR_DATABASE_CACHE, SE... | [
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... | 2.905 | 600 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2016 Daniel Estevez <daniel@destevez.net>.
#
# This is free and unencumbered software released into the public domain.
#
# Anyone is free to copy, modify, publish, use, compile, sell, or
# distribute this software, either in source code form or as a compiled
... | [
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... | 3.602015 | 397 |
#!/usr/bin/python
#
# Start dfplayer.
import argparse
import os
import shutil
import subprocess
import sys
import time
_PROJ_DIR = os.path.dirname(__file__)
main()
| [
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... | 2.770492 | 61 |
#!/usr/bin/env python3
# Copyright 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | [
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366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845... | 2.993827 | 324 |
import argparse
import models
model_names = sorted(name for name in models.__dict__
if name.islower() and not name.startswith("__")
and callable(models.__dict__[name]))
| [
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220,
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... | 2.242105 | 95 |
from flask import Flask, Response
from flask_basicauth import BasicAuth
from flask_cors import CORS, cross_origin
import os
#from flask_admin import Admin,AdminIndexView
#from flask_admin.contrib.sqla import ModelView
from flask_sqlalchemy import SQLAlchemy as _BaseSQLAlchemy
from flask_migrate import Migrate, Migr... | [
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... | 3.185185 | 486 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.core.management import BaseCommand
from cobl.lexicon.models import LanguageList, \
MeaningList, \
Meaning, \
Lexeme, \
... | [
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47... | 1.564103 | 312 |
import pandas as pd
from icu import Collator, Locale, RuleBasedCollator
ddf = pd.read_csv("../word_frequency/unilex/din.txt", sep='\t', skiprows = range(2,5))
collator = Collator.createInstance(Locale('en_AU.UTF-8'))
# https://stackoverflow.com/questions/13838405/custom-sorting-in-pandas-dataframe/27009771#27009771
... | [
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25194... | 2.092257 | 607 |
# Python
import unittest
from copy import deepcopy
from unittest.mock import Mock
# ATS
from pyats.topology import Device
# Genie
from genie.libs.ops.dot1x.ios.dot1x import Dot1X
from genie.libs.ops.dot1x.ios.tests.dot1x_output import Dot1xOutput
# Parser
from genie.libs.parser.ios.show_dot1x import ShowDot1xAllDeta... | [
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6738,... | 1.87055 | 309 |
# ======================================================================
# copyright 2020. Triad National Security, LLC. All rights
# reserved. This program was produced under U.S. Government contract
# 89233218CNA000001 for Los Alamos National Laboratory (LANL), which
# is operated by Triad National Security, LLC for ... | [
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2,
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329,
... | 2.358951 | 2,212 |
from dataclasses import dataclass
| [
6738,
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4818,
330,
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] | 3.777778 | 9 |
# -*- coding: utf-8 -*-
##########################################################################
# NSAp - Copyright (C) CEA, 2020
# Distributed under the terms of the CeCILL-B license, as published by
# the CEA-CNRS-INRIA. Refer to the LICENSE file or to
# http://www.cecill.info/licences/Licence_CeCILL-B_V1-en.html
#... | [
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59... | 3.096591 | 352 |
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | [
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... | 3.82906 | 234 |
# from PyQt5.QtWidgets import QMessageBox
# def raise_error(message: str = "DEFAULT:Error Description:More Information"):
# box = QMessageBox()
# kind, msg, info = message.split(":")
# box.setIcon(QMessageBox.Critical)
# box.setWindowTitle(kind + " Error")
# box.setText(msg)
# box.setInformati... | [
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1,
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2,
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220,
220,
... | 2.4375 | 144 |
"""
759. Employee Free Time
We are given a list schedule of employees, which represents the working time for each employee.
Each employee has a list of non-overlapping Intervals, and these intervals are in sorted order.
Return the list of finite intervals representing common, positive-length free time for all employe... | [
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2... | 3.422833 | 473 |
import os, yaml
config = {
'debug': False,
'port': 5000,
'store_path': '/var/storitch',
'pool_size': 5,
'logging': {
'level': 'warning',
'path': None,
'max_size': 100 * 1000 * 1000,# ~ 95 mb
'num_backups': 10,
},
'image_exts': [
'.jpg', '.jpeg', '.png... | [
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2... | 1.921659 | 217 |
import io
import os
import numpy as np
import pandas
import json
import logging #<== Optional. Log to console, file, kafka
from pipeline_monitor import prometheus_monitor as monitor #<== Optional. Monitor runtime metrics
from pipeline_logger import log
import tenso... | [
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220,
220,
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220... | 2.398607 | 1,149 |
import argparse
import importlib
import os
import re
import signal
import subprocess
import sys
import time
import logging
from act.common import aCTLogger
from act.common.aCTConfig import aCTConfigAPP
from act.arc import aCTDBArc
if __name__ == '__main__':
main()
| [
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257,
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198,... | 3.277108 | 83 |
from rest_framework.test import APITestCase, APIClient
from django.urls import reverse
from rest_framework.authtoken.models import Token
| [
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30001,
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] | 3.631579 | 38 |
from flask import Flask
from src.models import db
from . import config
| [
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] | 4.055556 | 18 |
from dependencies import Injector
from dependencies import this
from dependencies.contrib.celery import shared_task
from examples.order.commands import ProcessOrder
| [
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] | 4.611111 | 36 |
ano = int(input('Digite o ano: '))
if (ano%4) == 0:
print ('Ele bissexto')
else:
print ('Ele no bissexto') | [
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6... | 2.24 | 50 |
__version__ = '0.0.1'
__license__ = 'BSD'
| [
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from datetime import timedelta
from typing import Union, List, Optional
import click
import pandas as pd
from flask import current_app as app
from flask.cli import with_appcontext
from flexmeasures import Sensor
from flexmeasures.data import db
from flexmeasures.data.schemas.generic_assets import GenericAssetIdField
... | [
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... | 2.687603 | 605 |
mail_settings = {
"MAIL_SERVER": 'smtp.gmail.com',
"MAIL_PORT": 465,
"MAIL_USE_TLS": False,
"MAIL_USE_SSL": True,
"MAIL_USERNAME": 'c003.teste.jp@gmail.com',
"MAIL_PASSWORD": 'C003.teste'
} | [
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... | 1.911504 | 113 |
#!/usr/bin/env python3.6
# -*- encoding=utf8 -*-
import pyquery
"""
1. URL
2.
3.
1. PARSER_PASSAGE_URL URL
2. PARSER_PASSAGE_TITLE
3. PARSER_PASSAGE_DATE
4. PARSER_PASSAGE_CATEGORY... | [
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198,... | 1.364146 | 357 |
#!/usr/bin/env python3
# ----------------------------------------------------------------------------
# Copyright 2019 Drunella
#
# 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:/... | [
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... | 3.445513 | 312 |
# SPDX-License-Identifier: BSD-3-Clause
"""
Text decode functions.
These functions can be used to get Unicode strings from a series of bytes.
"""
from codecs import (
BOM_UTF8,
BOM_UTF16_BE,
BOM_UTF16_LE,
BOM_UTF32_BE,
BOM_UTF32_LE,
CodecInfo,
lookup as lookup_codec,
)
from collections im... | [
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422,
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... | 2.368937 | 2,144 |
import os
import json
import gzip
from copy import deepcopy, copy
import numpy as np
import csv
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader, RandomSampler
from transformers.tokenization_utils import trim_batch
# Special symbols
SOS_token = "<SOS... | [
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198,
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13,
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... | 2.259133 | 1,177 |
from typing import Dict
from rest_framework import serializers
from rest_framework.fields import empty
from rest_framework.relations import ManyRelatedField
from rest_framework.request import Request
from .mixins import BridgerSerializerFieldMixin
from .types import BridgerType, ReturnContentType
| [
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1330,
4650,
9819,
15878,
198,
6738,
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62,
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... | 4.267606 | 71 |
import networkx.algorithms.operators.tests.test_product
import pytest
from graphscope.experimental.nx.utils.compat import import_as_graphscope_nx
import_as_graphscope_nx(networkx.algorithms.operators.tests.test_product,
decorators=pytest.mark.usefixtures("graphscope_session"))
| [
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62,
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29982,... | 2.618644 | 118 |
# {team} -> Name of team
# {name} -> Name of person who supports team
teamMatchStarted: list[str] = [
"{team} are shit",
"{team} cunts",
"Dirty {team}",
"Dirty {team}, dirty {name}",
]
drawing: list[str] = [
"{team} level, this is a shit match",
"Boring old {team}",
"Happy with how it's go... | [
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58,
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60,
796,
685,
198,
220,
220,
220,
45144,
15097,
92,
389,
7510,
1600,
... | 2.77825 | 1,646 |
from bench import bench
print(bench(100, '''
def fib(n):
return n if n < 2 else fib(n-1) + fib(n-2)
''', '''
fib(20)
'''))
| [
6738,
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12900,
7,
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3256,
... | 2.206897 | 58 |
# coding=utf-8
from nlpir.native.nlpir_base import NLPIRBase
from ctypes import c_bool, c_char_p, c_int, POINTER, Structure, c_float
| [
2,
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4135... | 2.596154 | 52 |
# -*- coding: utf-8 -*-
import pytest
from mock import Mock
from bravado_core.exception import SwaggerMappingError
from bravado_core.operation import Operation
from bravado_core.param import get_param_type_spec
from bravado_core.param import Param
from bravado_core.spec import Spec
| [
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... | 3.321839 | 87 |
# Copyright (c) 2019 Princeton University
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from markdown import markdown
import base64
import json
import base64
| [
2,
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286,
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13,
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198,
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1317,
2902,
... | 4.12069 | 58 |
from pydub import AudioSegment
import os
import math
from pathlib import Path
'''
Splice wav files into multiple segments.
'''
LENGTH = 3 # Set splice length in seconds
| [
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796,... | 3.326923 | 52 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@author: Wu Liang
@contact:
@date: 2014/06/23
"""
import os
import sqlite3
import urllib2
import shutil
import tarfile
import hashlib
import codecs
from mako.template import Template
from pyquery import PyQuery
currentPath = os.path.join(os.path.dirname(os.path.real... | [
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... | 2.669601 | 1,477 |
import os
import sys
sys.path.insert(0, os.path.abspath(".."))
# --------------------------------------------------------------------------------------
project = "nisystemlink"
copyright = "2020, National Instruments"
author = "National Instruments"
# The short X.Y version
version = "0.1"
# The full version, includ... | [
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from typing import Dict, List
from arango.cursor import Cursor
from django.http.response import Http404
from django.shortcuts import get_object_or_404
from rest_framework.pagination import LimitOffsetPagination
from rest_framework.request import Request
from rest_framework_extensions.mixins import NestedViewSetMixin
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# Copyright 2018 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import argparse
import logging
import os
import sys
if __name__ == '__main__':
args = ParseArgs()
ConfigureLogging(args)
logging.info("Arguments:... | [
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11748... | 2.989873 | 395 |
from django.conf import settings
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.utils.encoding import python_2_unicode_compatible
from django.urls import reverse
from django_extensions.db.models import TimeStampedModel
from mptt.models import MPTTModel, TreeForeignKey
... | [
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# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | [
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import unittest
from gamesopt.train import train, TrainConfig | [
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import pandas as pd
| [
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# 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 ... | [
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from setuptools import setup, find_packages
install_requires = [
"allennlp>=0.9.0",
"wandb==0.8.15",
]
setup(
name='allennlp_wandb',
version='0.0.1',
description='Utilities to use allennlp with wandb',
packages=find_packages(
exclude=["*.tests", "*.tests.*", "tests.*", "tests"]),
p... | [
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... | 2.348066 | 181 |
#!/usr/bin/env python
from setuptools import setup, find_packages
setup(
name="django-axes",
description="Keep track of failed login attempts in Django-powered sites.",
long_description="\n".join(
[
open("README.rst", encoding="utf-8").read(),
open("CHANGES.rst", encoding="... | [
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1... | 2.348577 | 984 |
from django.contrib import admin
from achievements import models
admin.site.register(models.Achievement)
| [
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] | 3.785714 | 28 |
from torch.nn import CrossEntropyLoss
| [
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import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
if __name__ == '__main__':
files_http1 = ['./results/benchmark_size/http1_txt1.csv', './results/benchmark_size/http1_txt2.csv', './results/benchmark_size/http1_txt3.csv', './results/benchmark_size/http1_txt4.csv', './results/benchmark_size/htt... | [
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import unittest
import os
from matplotlib import pyplot as plt
from shapely import geometry, affinity
X_COORDINATE = 0
Y_COORDINATE = 1
def extract_x_y(polygon: list) -> (list, list):
"""Extract the x and y coordinates as two separate lists"""
x_list = []
y_list = []
for vertex in polygon:
x... | [
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1268... | 2.220956 | 2,281 |
import os
from PIL import Image
from array import *
from random import shuffle
import shutil
# Load from and save to
Names = [['./training-images','train'], ['./test-images','test']]
for name in Names:
FileList = []
for dirname in os.listdir(name[0]):
path = os.path.join(name[0],dirname)
p... | [
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41... | 2.654412 | 136 |
import sys
from pyspark import SparkContext
import json
print('spark got python path -> ' + str(sys.executable))
logfile = sys.argv[1]
sc = SparkContext()
logdata = sc.textFile(logfile).cache()
a_count = logdata.filter(lambda s: 'a' in s).count()
b_count = logdata.filter(lambda s: 'b' in s).count()
print(json.dumps({'a... | [
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... | 2.71875 | 128 |
import bpy
from bpy.props import *
from ...nodes.BASE.node_base import RenderNodeBase
| [
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] | 2.903226 | 31 |
from keras.models import load_model
import cv2
import pickle
import keras.backend as K
import numpy as np
from src.model_path import MODEL_PATH
'''def predict(self, cell):
model = load_model('./model/Model.h5')
f = K.function([model.layers[0].input, K.learning_phase()],[model.layers[-1].output])
rescaled_cell = ... | [
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# -*- coding: utf-8 -*-
"""A module for plotting penguins data for modelling with scikit-learn."""
# Imports ---------------------------------------------------------------------
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
# Constants -----------------------------... | [
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from django.db import migrations
| [
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] | 3.5 | 10 |
import unittest
from forestgame.game.world import World
| [
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# Copyright 2021 Richard Johnston <techpowerawaits@outlook.com>
# SPDX-license-identifier: 0BSD
import string
from loguru import logger
try:
import cell_pos
from exceptions import InvconvMissingHeaders
import ftype
import msg_handler
except ModuleNotFoundError:
import invconv.cell_pos as cell_pos... | [
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2... | 2.868493 | 365 |
import os
from tkinter import *
import tkinter.filedialog as tkfd
from PIL import Image
import numpy as np
import solvers.generation_solver.image_seperation as IS
if __name__ == '__main__':
print(show_interface()) | [
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from bs4 import BeautifulSoup as soup
from urllib.request import urlopen as uReq
import re, json
# Getting the page
URL = "https://www.astronomytrek.com/star-constellations-brightest-stars/"
uClient = uReq(url=URL)
page_html = uClient.read()
page_soup = soup(page_html, "html.parser")
# Opening a file to write in
star... | [
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1... | 2.288089 | 361 |
if __name__ == '__main__':
sol=Solution()
# height = [1, 1]
height=[1,3,2,5,25,24,5]
print(sol.maxArea(height))
| [
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11... | 1.984615 | 65 |
# coding=utf-8
# Copyright 2020 TF.Text 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 ag... | [
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... | 2.093428 | 1,552 |
"""Unit test for the index.py file."""
import unittest
from datetime import datetime, timedelta, timezone
import json
from unittest.mock import patch, mock_open
import requests_mock
from src import index
from src import github_services
| [
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76,
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1330,... | 3.567164 | 67 |
# -*- coding: utf-8 -*-
#
# Copyright 2017 Ricequant, Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | [
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13,
15,
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366,
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15341,
198,
2,
345,
743... | 3.629412 | 170 |
import funcvote as vote
votes = input(" >>>")
# print(votes)
# print(type(votes))
result = vote.str2int(votes)
print(vote.countvotes(result))
result = vote.countvotes(result)
vote.printvote(result)
# | [
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27257,... | 2.797297 | 74 |
# Day 2: Operators
# Start using arithmetic operators.
#
# https://www.hackerrank.com/challenges/30-operators/problem
#
#!/bin/python3
import sys
if __name__ == "__main__":
meal_cost = float(input().strip())
tip_percent = int(input().strip())
tax_percent = int(input().strip())
cost = meal_cost * (1 ... | [
2,
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25,
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2,
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29... | 2.79085 | 153 |
from django.http import HttpResponse
from django.template import RequestContext, loader
from django.shortcuts import render, get_object_or_404, redirect
from django.core.urlresolvers import reverse
from django.core.cache import cache
from articles.models import CIFArticle
from .forms import CIFArticleForm
def index(r... | [
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# Copyright (c) 2021, Omid Erfanmanesh, All rights reserved.
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# noinspection PyPep8
"""pydoc_fork
A fork of pydoc that is optimized for generating html documentation in a CI context
Usage:
pydoc_fork <package>... [options]
pydoc_fork (-h | --help)
pydoc_fork --version
Options:
-h --help Show this screen.
-v --version Show version.
... | [
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"""
libs.strings
By default, uses `en-gb.json` file inside the `strings` top-level folder.
If language changes, set `libs.strings.default_locale` and run `libs.strings.refresh()`.
"""
import json
default_locale = "en-us"
cached_strings = {}
refresh()
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# Copyright 2013-2021 The Salish Sea MEOPAR Contributors
# and The University of British Columbia
# 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... | [
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"""distributions module."""
from UQpy.distributions.collection.Beta import Beta
from UQpy.distributions.collection.Binomial import Binomial
from UQpy.distributions.collection.Cauchy import Cauchy
from UQpy.distributions.collection.ChiSquare import ChiSquare
from UQpy.distributions.collection.Exponential import Exponent... | [
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#
# Example file for HelloWorld
#
if __name__ == "__main__":
main()
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import sys
import csv
import json
import math
import pygame
import numpy as np
from pygame.locals import *
import pandas as pd
from data import *
from agent import agentsList, Agent
global screenSize
screenSize = [1920, 1080]
def run_simulation(burn_time):
params = load_parameters("RocketSimulationData/info... | [
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... | 2.487762 | 572 |
""" Package has implementation for the FID score calculation
"""
from GAN.FID import fid_score
from GAN.FID import inception
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