content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
from os import path
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import pygame
if __name__ == '__main__':
import sys
sys.exit(main(sys.argv[1]))
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# -*- coding: utf-8 -*-
import os
from lxml import etree as xml_parser
from dependencies_result import DependenciesResult
from dependency import Dependency
from helper import convert_dictionaries_to_csv, check_file_exists
# find dependencies
# main
if __name__ == '__main__':
main()
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from sqlalchemy import Column, ForeignKey, Integer, String
from sqlalchemy.orm import relationship
from base import Base
from iso_metadata import ISOMetadata
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"""Leonardos Monorail
https://adventofcode.com/2016/day/12
- four registers (a, b, c, and d)
that start at 0
and can hold any integer
- cpy x y copies x (either an integer or the value of a register) into register y.
- inc x increases the value of register x by one.
- dec x decreases the value of register x by... | [
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import librosa
import librosa.filters
import math
import numpy as np
from scipy import signal
from hparams import hparams
from scipy.io import wavfile
import lws
def inv_spectrogram(spectrogram):
'''Converts spectrogram to waveform using librosa'''
S = _db_to_amp(_denormalize(spectrogram) + hparams.ref_... | [
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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.apps import AppConfig
from django.utils.translation import ugettext_lazy as _
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import tensorflow as tf
import tflearn
import numpy as np
from .utils import Network
from .base_networks import VTN, VoxelMorph, VTNAffineStem
from .spatial_transformer import Dense3DSpatialTransformer, Fast3DTransformer
from .trilinear_sampler import TrilinearSampler
def mask_metrics(seg1, seg2):
''' Given two ... | [
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"""
"""
from lists_and_dicts import *
from methods_and_classes import *
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib import ticker
import seaborn as sns
import hvplot
import panel as pn
import plotly.express as px
import xarray as xr
import hvplot.xarray # noqa
import hvplot.p... | [
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"""Constants for Met component."""
from homeassistant.components.weather import (
ATTR_CONDITION_CLEAR_NIGHT,
ATTR_CONDITION_CLOUDY,
ATTR_CONDITION_FOG,
ATTR_CONDITION_LIGHTNING_RAINY,
ATTR_CONDITION_PARTLYCLOUDY,
ATTR_CONDITION_POURING,
ATTR_CONDITION_RAINY,
ATTR_CONDITION_SNOWY,
AT... | [
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5... | 1.929577 | 2,982 |
# Trabajo Machine Learning
# @authors: Vicente Cifre, Mikel Ardanaz
import numpy as np
import re
import scipy.io.matlab as matlab
import matplotlib.pyplot as plt
from sklearn.mixture import GaussianMixture
from sklearn.cluster import KMeans
from sklearn.ensemble import RandomForestClassifier, AdaBoostClassifier, ExtraT... | [
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26... | 2.211243 | 8,147 |
# Copyright 2019 Kakao Brain
#
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
#
# This source code is licensed under the BSD license found in the
# LICENSE file in the root directory of this source tree.
"""Provides isolated namespace of skip tensors."""
import abc
from functools import total_o... | [
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... | 3.392361 | 288 |
from __future__ import annotations
from typing import Optional, List
from Branches.Actions.Action import Action
from Branches.Actions.Actions import Actions
from Branches.Actions.Issuer.IssueBuilder import IssueBuilder
from Branches.Actions.Topicer.TopicBuilder import TopicBuilder
from VersionControl.Branch import Br... | [
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from os import walk
f = []
for (dirpath, dirnames, filenames) in walk("/Users/uli/Desktop"):
f.extend(filenames)
break
print f
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# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
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try:
from pandas.plotting._converter import DatetimeConverter
except ImportError:
from pandas.tseries.converter import DatetimeConverter
from .pandas_vb_common import *
import pandas as pd
import datetime as dt
try:
import pandas.tseries.holiday
except ImportError:
pass
from pandas.tseries.frequencies i... | [
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1... | 3.195122 | 164 |
print('-'*20)
print('{:-^40}'.format('LOJAS SUPER BARATÃO'))
print('-'*20)
total=0
maiormil=0
mais_barato=0
cont=0
barato=''
while True:
nome=str(input("Nome do produto ")).upper()
preco=float(input('Preço R$ '))
cont+=1
if cont==1:
mais_barato=preco
barato=nome
else:
if prec... | [
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#-*-coding: utf-8-*-
from itertools import product
from sys import argv
from optparse import OptionParser as opt
from codecs import open as copen
from time import strftime as time
from lib import *
from hashlib import md5, sha1, sha224, sha256, sha384, sha3_224, sha3_256, sha3_384, sha3_512, sha512
getDate = lambda: ti... | [
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"""
Defines the possible rewards for rollout.
Can be augmented for more complex policies using simialr scheme as Rollout or UCT policies.
Is defined through CLI in the Tree script.
"""
class RolloutRewards(object):
"""
Defines penalty and rewards for the rollout if it's in the chasis.
"""
def __repr__... | [
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import os
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID"
import torch
import torch.nn as nn
import numpy as np
import pandas as pd
from utils import load_data
from utils import EarlyStopping, set_random_seed
from utils import train, validate
from preprocess_gene import get_STRING_graph, get_predefine_cluster... | [
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2... | 2.630303 | 165 |
import torch
from e3nn.tensor.irrep_tensor import IrrepTensor
from e3nn import rs, o3
| [
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#! /usr/bin/python3
# -*- coding: utf-8 -*-
#
#
# riak_python_update.py
#
# Feb/09/2015
#
# ------------------------------------------------------------------
import cgi
import sys
#
import json
#
sys.path.append ('/var/www/data_base/common/python_common')
#
from cgi_manipulate import parse_parameter
#
from riak_ma... | [
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15146... | 3.218954 | 306 |
#!/usr/bin/env python3
import sys
with open(sys.argv[1], "r") as f:
lines = [l for l in f.read().split("\n") if l]
ilist = []
imap = {}
total = 0
result = 0
other = 0
while True:
x = 0
y = 0
rot = 90
for l in lines:
a = l[0]
v = int(l[1:])
if a == "N":
y +=... | [
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961... | 1.620743 | 646 |
# -*- coding: utf-8 -*-
"""
Created on Sun Jan 11 18:39:41 2015
@author: nymph
"""
import sys
if __name__ == '__main__':
# Part 2
wordCount = word_count(sys.argv[1])
print_dict(wordCount)
topK = top_k(10, wordCount)
print_dict(wordCount)
# Part 3
wordCount2 = word_count_2()
pri... | [
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... | 2.019417 | 309 |
import torch
import torch.nn.functional as F
# regression
# hand mask loss
# huawei dataset | [
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import logging
from flask import Flask
from .views import auth, main, photos
log = logging.getLogger(__name__)
def create_http_app(config):
"""
Create new http application with selected config
:param config: Object config for app
:return: Http application
"""
app = Flask(__name__)
app.... | [
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"""
@author: Gabriele Girelli
@contact: gigi.ga90@gmail.com
"""
from copy import copy
from ifpd2.const import DEFAULT_DATABASE_INDEX_BIN_SIZE
import logging
from os.path import isdir, isfile
from typing import Any, Dict, List, Set
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62... | 2.841463 | 82 |
from UQpy.surrogates.kriging.correlation_models.baseclass.Correlation import *
| [
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628
] | 3.076923 | 26 |
from .gen_cloud import gen_word_cloud | [
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#
# btf_to_manifest.py
#
# Extract the kernel functions which takes skb as an argument
# from BTF information and generate the ipftrace manifest file
#
# Usage:
# $ pahole -JV /lib/modules/`uname -r`/build/vmlinux
# $ bpftool -j btf dump file /lib/modules/`uname -r`/build/vmlinux | python btf_to_manifest.py
#
import s... | [
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2... | 2.2173 | 474 |
class InvalidAdjacencyMatrixException(Exception):
"""docstring for InvalidAdjacencyMatrixException"""
pass
| [
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] | 4.037037 | 27 |
#!/usr/bin/env python
from __future__ import division
import rospy
from std_msgs.msg import Float64
from std_msgs.msg import Empty
from std_msgs.msg import Int8MultiArray, Int16
from pololu import PololuController, WeightedAverage
DRIVE_INDEX = 0
YAW_INDEX = 1
<<<<<<< HEAD
newFrontAvg = self.frontWeightedAvg.g... | [
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... | 2.199161 | 477 |
# !/usr/bin/env python
# -- coding: utf-8 --
# @Author zengxiaohui
# Datatime:8/20/2021 4:09 PM
# @File:APR
import copy
from PIL import Image, ImageOps, ImageEnhance
import io
import random
from PIL import Image
import numpy as np
def int_parameter(level, maxval):
"""Helper function to scale `val` between 0 and m... | [
2,
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deps = {
"ACT": {
"url": "https://github.com/EQAditu/AdvancedCombatTracker/releases/download/3.4.6.267/ACTv3.zip",
"dest": "plugin/ThirdParty/ACT",
"strip": 0,
"hash": ["sha256", "adf13a38d0938ce90f8e674f8365b227d933b91636ddf72b26c85702f6e3b808"],
},
"OverlayPlugin": {... | [
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... | 1.897516 | 322 |
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
{
'name': 'Point of Sale',
'version': '1.0.1',
'category': 'Sales/Point of Sale',
'sequence': 40,
'summary': 'User-friendly PoS interface for shops and restaurants',
'description': "",
'depend... | [
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220,
220,
220,
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16... | 2.304674 | 2,803 |
from core.world.area import Area
from core.world.level import Level, LevelStub
from core.world.region import Region
from core.world.room import Room
| [
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] | 3.725 | 40 |
from setuptools import setup
setup(name='the_beyond',
version='0.01',
description='Data Processing Tools for Machine Learning and Data Analysis.',
url='https://github.com/2yan/the_beyond',
author='Ryan Francis',
author_email='2yan@outlook.com',
license='MIT',
packages=['the_be... | [
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10850,... | 2.526316 | 152 |
import wx
import wx.adv
try:
from kikit.plugin import importAllPlugins
importAllPlugins()
except ImportError:
dialog = MissingKiKitDialog()
dialog.Show()
if __name__ == "__main__":
# Run test dialog
app = wx.App()
dialog = MissingKiKitDialog()
dialog.ShowModal()
| [
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def sortedSquaredArrayNormal(array):
""" This function takes in a sorted array and return another sorted array
which is formed by squared of elements in the input array. O(nlogn) time complexity
and O(n) space complexity.
args:
---------
array : sorted array with numbers
output:
---------
array : which con... | [
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... | 3.021786 | 459 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: © 2021 Massachusetts Institute of Technology.
# SPDX-FileCopyrightText: © 2021 Lee McCuller <mcculler@mit.edu>
# NOTICE: authors should document their contributions in concisely in NOTICE
# with details inline ... | [
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... | 3.497537 | 203 |
# Python program to perform binary search using iterations
# Learn more about this algorithm here: https://www.khanacademy.org/computing/computer-science/algorithms/binary-search/a/binary-search
arr = [0,3,5,7,20,99,100]
item = 20
position = binary_search(arr, item)
print(f"Item {item} found at position {position}")
| [
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282,
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14,
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12,
... | 3.158416 | 101 |
import sys
import signal
import time
signal.signal(signal.SIGINT, ignore)
signal.signal(signal.SIGTERM, ignore)
while True:
print(time.time())
time.sleep(1)
| [
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198,... | 2.470588 | 68 |
def resolve():
'''
code here
'''
import collections
import itertools
N = int(input())
Ss = [input()[0] for _ in range(N)]
march_letter = [item for item in Ss if item in ['M', 'A', 'R', 'C', 'H']]
march_cnt = collections.Counter(march_letter)
if len(march_cnt) < 3:
res =... | [
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7,
154... | 2.138462 | 260 |
#!/usr/bin/env python
import rospy
import VL53L0X
from sensor_msgs.msg import Range
if __name__ == '__main__':
node = Sensors()
node.run() | [
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83... | 2.42623 | 61 |
# Generated by Django 3.1.4 on 2021-01-05 00:37
from django.db import migrations
| [
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] | 2.766667 | 30 |
import torch
import torch.utils.data as Data
x = torch.linspace(1, 10, 10) # x data (torch tensor)
y = torch.linspace(20, 1, 10) # y data (torch tensor)
metrics1 = {
'y_pred': [x,y,x]
}
metrics2 = {
'y_pred': [y,x,y]
}
if __name__ == '__main__':
batch_sum = torch.tensor([], device='cpu')
... | [
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88,
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
'''
@author: alishtory
@site: https://github.com/alishtory
@file: ServerManager.py
@time: 2017/3/7 15:28
@description: 多用户版本中，启动、关闭、更新流量的管理模块
'''
import logging, threading
from abc import ABCMeta, abstractmethod
from server_pool import ServerPool
from shadowsocks import eve... | [
2,
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13,
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14,
282,
680,
83,
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... | 2.178808 | 151 |
"""
MorphologicalSkeleton
=====================
**MorphologicalSkeleton** thins an image into a single-pixel wide skeleton. See `this tutorial <https://scikit-image.org/docs/0.14.x/auto_examples/xx_applications/plot_morphology.html#skeletonize>`__ for more information.
|
============ ============ ===============
Sup... | [
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... | 3.296703 | 182 |
from datetime import datetime
import inspect
import xmlrpc.client
import os
import robot.api.logger as log
from robot.libraries.BuiltIn import BuiltIn
draw_rects_on_screenshots = True
try:
from PIL import Image, ImageDraw
except ModuleNotFoundError as e:
log.warn(f"Pillow not found, drawing rectangles on scre... | [
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818,
1330,
28477,... | 3.190722 | 194 |
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | [
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2,
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13,
220,
... | 2.262931 | 1,856 |
import math
import numpy as np
import tensorflow_probability as tfp
from TrainSetGenerator import TrainSetGenerator
from scipy.io import wavfile
tfd = tfp.distributions
class TestSetGenerator(TrainSetGenerator):
"""
The TestSetGenerator consumes pre-merged files. Provided X is a list of merged files, Y a c... | [
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... | 2.389105 | 1,028 |
# pylint: disable=C0302
"""
Manage VMware vCenter servers and ESXi hosts.
.. versionadded:: 2015.8.4
:codeauthor: Alexandru Bleotu <alexandru.bleotu@morganstaley.com>
Dependencies
============
- pyVmomi Python Module
- ESXCLI
pyVmomi
-------
PyVmomi can be installed via pip:
.. code-block:: bash
pip install... | [
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19,
198,
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25,
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9800,
25,
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622,
... | 2.539851 | 5,370 |
# -*- coding: utf-8 -*-
#
# Authors: Tomi Jylhä-Ollila, Finland 2013-2019
# Toni Ruottu, Finland 2013-2014
#
# This file is part of Kunquat.
#
# CC0 1.0 Universal, http://creativecommons.org/publicdomain/zero/1.0/
#
# To the extent possible under law, Kunquat Affirmers have waived all
# copyright and related ... | [
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198,
2,
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220,
220,
220,
220,
220,
220,
220,
220,
309... | 2.927602 | 221 |
import os
os.environ['MPLBACKEND'] = 'template'
import sys
import pytest
import importlib
import clmm
#@pytest.fixture(scope="module", params=["ccl", "nc", "ct", "notabackend", "testnotabackend"])
@pytest.fixture(scope="module", params=[{'nick': 'ccl', 'cosmo_reltol': 8.0e-8, 'dataops_reltol': 3.0e-8, 'theory_reltol':... | [
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7,
... | 1.723794 | 601 |
# -*- coding: utf-8 -*-
from azure.storage.blob import BlockBlobService
import UtilityHelper | [
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47429
] | 2.967742 | 31 |
#!/bin/python3
# PYTHON_ARGCOMPLETE_OK
# coding=utf-8
# ------------------------------------------------------------------------------
# Created on September 29 11:03 2021
# (c) Copyright 2021 Micro Focus or one of its affiliates.
# ------------------------------------------------------------------------------
import a... | [
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319,
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2808,
1367,
25,
3070,
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198,
2,
357,
66,
8,... | 3.610329 | 426 |
from django.contrib import admin
from django.urls import path,include
from . import views
from django.conf import settings
from django.conf.urls.static import static
urlpatterns=[
path('login',views.login,name='login'),
path('logout',views.logout,name='logout'),
path('register',views.register,name='registe... | [
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... | 2.963855 | 249 |
# Remember to put FFMPEG in variable path
import math
import os
import cv2
import ffmpeg
from src.constants import frame_size_threshold
| [
2,
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6... | 3.302326 | 43 |
#!/usr/bin/env python
import os, sys
from os.path import dirname, abspath
os.environ['DJANGO_SETTINGS_MODULE'] = 'test_settings'
parent = dirname(dirname(dirname(abspath(__file__))))
sys.path.insert(0, parent)
from django.test.simple import DjangoTestSuiteRunner
if __name__ == '__main__':
DjangoTestSuiteRunne... | [
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2... | 2.688312 | 154 |
#!/bin/env python3
if __name__ == "__main__":
DemoProject()
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import pytest
EXPLORATION_TYPES = "ParameterNoise GaussianNoise".split(" ")
@pytest.fixture
@pytest.fixture(
params=EXPLORATION_TYPES,
ids=tuple(s.split(".")[-1] for s in EXPLORATION_TYPES),
)
| [
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from thefuck.specific.git import git_support
@git_support
@git_support
| [
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if False:
pass
DEFAULT_TIMEOUT = 10
logger = logging.getLogger("graphql.errors")
class GraphQLDeciderBackend(GraphQLCachedBackend):
"""GraphQLDeciderBackend will offload the document generation to the
main backend in a new thread, serving meanwhile the document from the fallback
backend"""
_worker = None
fa... | [
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... | 3.055556 | 252 |
"""
ARMA Model
===============================================================================
Overview
-------------------------------------------------------------------------------
This module contains ARMA models using SciPy's minimization method.
Examples
-------------------------------------------------------... | [
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... | 2.100353 | 3,119 |
import matplotlib.pyplot as plt
from matplotlib import style
style.use("bmh")
#style.use("classic")
#style.use("dark_background")
x1=[2,4,8]
y1=[4,8,24]
x2=[3,6,9]
y2=[10,15,30]
plt.plot(x1,y1)
plt.plot(x2,y2)
plt.title("Test")
plt.xlabel("Time(s)")
plt.ylabel("Force(N)")
plt.show()
| [
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... | 1.914474 | 152 |
import copy
import itertools
from puzzle import SolutionError, DIGITS, BANDS, ROW_ITER, COL_ITER, BLOCK_ITER
def update_peers(puzzle, row, col, val, unit_type=''):
"""Remove a value from the candidate lists of a cell's peers.
If removing a candidate solves a cell, recursively update that cell's peers.
... | [
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4299,... | 2.129619 | 3,464 |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from flask_migrate import Migrate
from flask_login import LoginManager
from config import AppConfig
app = Flask(__name__)
app.config.from_object(AppConfig)
db = SQLAlchemy(app)
migrate = Migrate(app, db)
login_manager = LoginManager(app)
login_manager... | [
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198,
6738,
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1330,
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198,... | 3.226087 | 115 |
import json
import logging
import os
from datetime import datetime
| [
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] | 4.25 | 16 |
import Gramatica as g
import tablasimbolos as TS
from expresiones import *
from instrucciones import *
from reporteAST import *
listaInstrucciones = []
#Metodos para graficar el ast
| [
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4868,... | 2.344086 | 93 |
# (C) Datadog, Inc. 2020-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
from .....utils.time import get_timestamp
def get_time_elapsed(check, metric_name, modifiers, global_options):
"""
This sends the number of seconds elapsed from a time in the past as a `gauge`.
... | [
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# File: utils/plotters.py
"""Functions to assist with plotting.
"""
from la_funding_analysis import PROJECT_DIR
from la_funding_analysis.utils.jitter_functions import jitter
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
# STACKED HORIZONTAL BAR PLOTS
def s... | [
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# -*- coding = utf-8 -*-
# @Time : 2021/8/1 13:23
# @Author : 水神与月神
# @File : GetNoBurstFile.py
# @Software : PyCharm
import os
import datetime
# %%
path_log = r"G:\CulgooraData\log\1994-2015合并时间分割.xlsx"
path_image = r"G:\LearmonthData\learmonth_pics2\{:0>2d}"
file_name_format = "LM{:0>2d}{:0>2d}{:0>2d}.srs.png"
data... | [
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1058... | 2.11405 | 605 |
from tensorflow.keras import backend
from tensorflow.keras.callbacks import ModelCheckpoint
import os
import json
| [
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] | 3.625 | 32 |
import timeit
import time
import random
from typing import Union
import matplotlib.pyplot as plt
from tqdm import tqdm
from binary_search_tree import BinarySearchTree
if __name__ == "__main__":
data: dict[str, list[Union[float, int]]] = {"n": [], "time": []}
lst = list(range(0, 20000))
# random.shuffle... | [
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62... | 2.020668 | 629 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import re
import random
import json
__all__ = ['moga']
TPL = """
================================================================================
MOGA summary
================================... | [
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... | 2.082189 | 21,852 |
import os
import json
import time
import base64
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from django.utils.translation import ugettext_lazy as _
from .settings import *
MODULE_PATH = os.path.abspath(__file__) # Get path of current module file (modules.py file)
DIR_PAT... | [
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... | 2.415592 | 1,629 |
# -*- coding: utf-8 -*-
import json
import argparse
import time
import os
from utils import parse_dis_data, batchify_dis_data, make_batch_inputs, parse_pred_data
from datasets import Dataset
from transformers import BertTokenizer, PreTrainedModel, BertModel, BertConfig
from transformers import Trainer, TrainingArgumen... | [
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78... | 2.561376 | 1,279 |
"""Top-level package for Daltons."""
__author__ = """LINHD POSTDATA Project"""
__email__ = 'info@linhd.uned.es'
__version__ = '0.0.1'
| [
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# -*- coding: utf-8 -*-
#
# Copyright (C) 2020 CESNET
#
# oarepo-s3 is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Pytest configuration."""
from __future__ import absolute_import, print_function
import hashlib
import os
import shut... | [
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14,
273,
13096... | 2.247808 | 5,932 |
# Time: 0.19 s
dp = [1]
for i in range(int(input())):
dp.append(sum(dp[-6:]) % 1000000007)
print(dp[-1])
| [
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import FWCore.ParameterSet.Config as cms
from RecoEgamma.EgammaElectronProducers.gsfElectronSequence_cff import *
from RecoEgamma.EgammaElectronProducers.uncleanedOnlyElectronSequence_cff import *
from RecoEgamma.EgammaPhotonProducers.photonSequence_cff import *
from RecoEgamma.EgammaPhotonProducers.conversionSequence... | [
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# Generated by Django 2.0.7 on 2018-07-26 10:15
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| [
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1420... | 3.019231 | 52 |
import conf
import errors
from model import display, autocommit
from api import get, post, delete, AdminApi, put
from api.check_params import check_params
from api.validator import IntRange, String, TokenId, List, Choose, LocalizedName, ModelId, Visibility, Integer
from api.admin.role import TokenAdmin, TokenAccount, T... | [
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#coding=utf-8
#!/bin/python3
SEP = "/"
INPUT_DATA_FOLDER = "library-in-files"
INPUT_DATA_FILES = [
"a_example", # 7 days
"e_so_many_books", # 200 days
"f_libraries_of_the_world" # 700 days
"b_read_on", # 1000 days
"d_tough_choices", # 30001 days
"c_incunabula", # 100000 days
]
INPUT_DATA_... | [
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62,
46... | 2.132701 | 211 |
#!/usr/bin/env python3
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name='miidl',
version='0.0.5',
description='A Python package for microbial biomarkers identification powered by interpretable deep learning',
url='https://githu... | [
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220,
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890,... | 2.407328 | 464 |
#!/usr/bin/env python3
from sys import ps1
import rospy
import numpy as np
from os import system
import time
import threading
import Microcontroller_Manager_Serial as Serial
import IMU_Functions as IMU
import Pressure_Functions as Pressure
import Modem_Functions as Modem
import threading
import time
from time import... | [
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... | 3.146667 | 225 |
# AMZ-Driverless
# Copyright (c) 2019 Authors:
# - Huub Hendrikx <hhendrik@ethz.ch>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the ... | [
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7520... | 3.688761 | 347 |
import datetime
import json
import logging
import os
import sys
import time
from urllib.parse import urlparse
import boto3
import click
import numpy as np
import pandas as pd
logging.basicConfig(
format="[%(asctime)s] %(message)s", level=logging.INFO, datefmt="%Y-%m-%d %H:%M:%S"
)
timeout_seconds = 10800
SEED = 1... | [
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... | 2.509923 | 3,779 |
s = ""
i = 0
while i < 777:
s += '*'
i += 1
print(s) | [
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] | 1.722222 | 36 |
from typing import Generic, Any, TypeVar, Optional, Dict, Union
from unipipeline.message.uni_message import UniMessage
from unipipeline.worker.uni_worker_consumer_manager import UniWorkerConsumerManager
from unipipeline.worker.uni_worker_consumer_message import UniWorkerConsumerMessage
TInputMessage = TypeVar('TInput... | [
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... | 3.62069 | 116 |
# --------------
# Importing header files
import numpy as np
import pandas as pd
from scipy.stats import mode
import warnings
warnings.filterwarnings('ignore')
#Reading file
bank_data = pd.read_csv(path)
#step1
#Code starts here
bank=pd.DataFrame(bank_data)
#print(bank)
categorical_var=bank.sele... | [
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201... | 2.280936 | 598 |
INPUT_TO_MERGE_EDGES = [("dwi_file", "in1"), ("fmap_file", "in2")]
MERGE_TO_MRCAT_EDGES = [("out", "in_files")]
MRCAT_TO_SDC_EDGES = [("out_file", "in_file")]
# INPUT_TO_SDC_EDGES = [("dwi_pe_dir", "pe_dir")]
SDC_TO_OUTPUT_EDGES = [("out_file", "dwi_preproc")]
| [
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... | 1.905109 | 137 |
# Generated by Django 3.1.7 on 2021-03-06 05:09
from django.db import migrations, models
| [
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] | 2.84375 | 32 |
# coding: utf-8
from django import forms
from django.template.loader import render_to_string
from django.core.mail import EmailMultiAlternatives
from decouple import config
from evoluirmais.core.models import Subscription
| [
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6738... | 3.571429 | 63 |
from django.urls import path
from django.urls.conf import include
from . import views
from django.contrib.auth import views as auth_views
urlpatterns = [
path('login/',auth_views.LoginView.as_view(template_name='registration/login.html'),name='login'),
path('logout_page/',views.logout_page,name='logout_pa... | [
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637... | 2.708061 | 459 |
from django import forms
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth.forms import PasswordResetForm
from django.contrib.auth.forms import UserCreationForm
from .models import User
| [
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36... | 3.655738 | 61 |
"""
119. Pascal's Triangle II
Given a non-negative index k where k ≤ 33, return the kth index row of the Pascal's triangle.
Note that the row index starts from 0.
In Pascal's triangle, each number is the sum of the two numbers directly above it.
Example:
Input: 3
Output: [1,3,3,1]
""" | [
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422,... | 3.333333 | 87 |
# Copyright 2019 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.
DEPS = [
'cq',
'properties',
'step',
]
| [
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7206... | 3.181818 | 66 |
from .counterfactual_gap import CounterfactualGap
from .prob_stats import ProbDiffStats
from .significance_test import *
from .expect_test import INV, DIR, MFT
from .prob_scores import *
from .pred_scores import * | [
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133... | 3.179104 | 67 |
"""
Testing and utility functions for anomaly-detector
"""
import pandas as pd
import numpy as np
import pytest
import anomaly_detection as ad
@pytest.mark.skip(reason="simple python functionality")
def _ensure_is_list(obj):
"""
Return an object in a list if not already wrapped. Useful when you
want to ... | [
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198... | 2.118568 | 1,341 |