content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import re
import struct
from typing import Any, BinaryIO, Dict, NamedTuple, Optional, Sequence, Tuple
from .util import music, tilesets, load_tileset, spritesets, load_spriteset, PokeImportError
from .sound import MinLibSound
from .encoders import encode_tiles
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# This is an example program showing different methods of controlling motors, servos, and Neopixels.
# It works with a Rock Candy or PiHut PS3 controller.
# The left stick controls the speed and direction of both motors - push up to go forwards, down for backwards and left or right to steer.
# The right stick directly ... | [
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"""
Tools to help manage Globus proxies
"""
import os
import subprocess
import logging
from iceprod.server.config import IceProdConfig
logger = logging.getLogger('globus')
class SiteGlobusProxy(object):
"""
Manage site-wide globus proxy
:param cfgfile: cfgfile location (optional)
:param duration: p... | [
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136... | 1.980354 | 1,527 |
import os
import percy
from percy import utils
try:
from urllib.parse import urlparse
except ImportError:
from urlparse import urlparse
__all__ = ['ResourceLoader']
MAX_FILESIZE_BYTES = 15 * 1024**2 # 15 MiB.
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import traceback
import uuid
import socket
import logging
import os
import base64
import zlib
import gzip
import time
import datetime
from http import cookies
from http.server import BaseHTTPRequestHandler
from http.server import HTTPServer
from threading import Thread
import WebRequest
if __name__ == '__main__'... | [
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import re
import math
import random
import logging
from collections import OrderedDict
from discord.ext import commands
from common import utilities
from common import dynamo_manager
from common.module.discoverable_module import DiscoverableCog
from common.module.module_initialization_container import ModuleInitializ... | [
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import pytest
from keras.preprocessing import image
from PIL import Image
import numpy as np
import os
import shutil
import tempfile
if __name__ == '__main__':
pytest.main([__file__])
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#!/usr/bin/env python
from setuptools import find_packages, setup
project = "ch-cli"
version = "0.1.0"
setup(
name=project,
version=version,
description="Command line tool for ch",
author="Zuiwan",
author_email="danceiny@gmail.com",
url="https://github.com/zuiwan/CodingHub-CLI.git",
package... | [
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... | 1.918644 | 590 |
import os
import re
from typing import (
Union,
List,
Dict,
Pattern
)
from pyrogram.filters import create
from pyrogram import filters, Client
from pyrogram.types import (
Message,
CallbackQuery,
InlineQuery,
InlineKeyboardMarkup,
ReplyKeyboardMarkup,
Update
)
from config import Config
from tronx.da... | [
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198,... | 2.879581 | 191 |
import torch
from dataset import DrivingDataset
from vidvqvae import VQVAE
from torch.utils.data import DataLoader
from torch.utils.data import random_split
import pytorch_lightning as pl
from pytorch_lightning.loggers import WandbLogger
from pytorch_lightning.callbacks import ModelCheckpoint
dataset = DrivingDataset... | [
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6... | 2.637931 | 406 |
# Copyright 2013 Eucalyptus Systems, Inc.
#
# Redistribution and use of this software in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# Redistributions of source code must retain the above copyright notice,
# this list of conditions and t... | [
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... | 3.514943 | 435 |
from ColorText import ColorText
Texto = ColorText.mudaCor('Olá Mundo!','blue','lo')
print(Texto) | [
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# -*- coding: utf-8 -*-
"""Tests for the color module.
BSD 3-Clause License
Copyright (c) 2020-2021, Daniel Nagel
All rights reserved.
"""
import numpy as np
import pytest
from matplotlib import colors as clr
import prettypyplot
@pytest.mark.parametrize('num, kwargs, error', [
(1, {}, None),
(2, {'high': 2... | [
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... | 1.998542 | 2,744 |
from typing import Text
import os
import pytest
from rasa.constants import (DEFAULT_DOMAIN_PATH, DEFAULT_CONFIG_PATH,
DEFAULT_MODELS_PATH, DEFAULT_DATA_PATH)
@pytest.fixture(scope="session")
@pytest.fixture(scope="session")
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# pylint: disable = missing-docstring
import pytest
from bases import encoding
from bases.encoding import BaseEncoding
from bases import random
from bases.random import rand_str
random.set_options(min_bytes=0, max_bytes=16)
nsamples = 1024
@pytest.mark.parametrize("enc_name,enc", list(encoding.table()))
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... | 3.121212 | 99 |
from marshmallow import Schema, fields
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from pydantic import validator, Field
from pystratis.api import Model
# noinspection PyUnresolvedReferences
class AddNodeRequest(Model):
"""A request model for the connectionmanager/addnode endpoint.
Args:
ipaddr (str): The endpoint.
command (str): Allowed commands [add, remove, onetry]
"... | [
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3... | 2.974194 | 155 |
import os
PATH = os.path.abspath(os.path.dirname(__file__))
| [
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] | 2.346154 | 26 |
import urllib
from django.forms.fields import CharField
from django.utils.translation import ugettext_lazy as _
from django.views.generic import View
from .exceptions import PopupViewIsNotSubclassView
from .widgets import PopupViewWidget
| [
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from browser import document as doc
from browser.html import TABLE, TR, TH, TD, INPUT, SELECT, OPTION, DIV, BUTTON, SPAN, LI, H2, H3, IMG, COLGROUP, COL, P, SECTION, BR
from json import load
from last_update import time
# Create the static elements of the home page
init_page()
doc['loading'] <= DIV(Id='prerendered'... | [
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"""Conversion functions for weather radar and rainfall data."""
from numpy import isfinite, log, ubyte
from scipy.ndimage import gaussian_filter
from skimage.exposure import equalize_hist, rescale_intensity
def dBZ_to_ubyte(I, dBZ_min=-10.0, dBZ_max=50.0, filter_stddev=3.0):
"""Convert a dBZ field into a 8-bit imag... | [
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# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
from .vendor.Qt import QtWidgets
from .libs.maya import fbx
from .libs.maya import namespace
from . import history_helper
def import_fbx(path, import_mode, parent):
"""import fbx
Args:
path (unicode): path
... | [
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from sqlalchemy import schema
from sqlalchemy.orm import Session
from fastapi import Depends, APIRouter, HTTPException, status
from fastapi.security.oauth2 import OAuth2PasswordRequestForm
from .. import db, models, schemas, utils, oauth2
router = APIRouter(
tags=["Authentication"],
)
@router.post("/login", re... | [
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1... | 3.192661 | 109 |
import logging
import os
from aiohttp import web, WSMsgType
from aiohttp.web_response import Response
from jsonrpcserver.aio import methods
from sn_agent import ontology
from sn_agent.api.job import can_perform_service, perform_job
from sn_agent.job.job_descriptor import JobDescriptor
from sn_agent.ontology.service_d... | [
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... | 2.97006 | 167 |
maior = 0
menor = 0
for p in range(1, 6):
peso = float(input(f'Digite a massa da {p}º pessoa em quilos: '))
if p == 1:
maior = peso
menor = peso
else:
if peso > maior:
maior = peso
if peso < menor:
menor = peso
print('O maior peso lido foi de {}Kg'.for... | [
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# SPDX-License-Identifier: MIT
# Copyright (c) 2018-2022 Amano Team
from pyrogram import types
from pyrogram.helpers import bki, ikb
from userlixo.database import Message
| [
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1134... | 3.051724 | 58 |
import matplotlib.pyplot as plt
import sys
import os
outDir = sys.argv[1]
finalOutDir = outDir + '/figure3d/'
if not os.path.exists(finalOutDir):
os.makedirs(finalOutDir)
#make a plot showing the true positive and false positive rates of each method.
#each sv type will get its own icon, and methods can be labeled b... | [
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... | 2.276051 | 547 |
from collections import deque
from math import ceil, log
from division import Division
from picker import Picker
| [
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] | 4.142857 | 28 |
#!/usr/bin/env python3
import csv
import sys
import xml.etree.ElementTree as ET
### Natural key sorting for orders like : C1, C5, C10, C12 ... (instead of C1, C10, C12, C5...)
# http://stackoverflow.com/a/5967539
import re
def natural_keys(text):
'''
alist.sort(key=natural_keys) sorts in human order
http:... | [
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20... | 2.220099 | 1,413 |
import wget
import gzip
import time as t
import json
import fileinput
import os
| [
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"""Sample ace and supersmoother problems from literature."""
| [
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from threading import Lock
import geoip2.database
from util import resource_path
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from stable_baselines.common.noise import NormalActionNoise, OrnsteinUhlenbeckActionNoise
from stable_baselines.td3.rnd import RND
from stable_baselines.td3.td3 import TD3
from stable_baselines.td3.dist_predictor import Predictor
from stable_baselines.td3.ddl_td3 import DDLTD3
from stable_baselines.td3.policies import ... | [
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from django.shortcuts import render
import random
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#from django.test import TestCase
from datetime import date
from decimal import *
from django.core.urlresolvers import reverse
from django.contrib.auth.models import User
from rest_framework.test import APITestCase
from rest_framework.authtoken.models import Token
from .models import *
from .mommy_recipes import *
... | [
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from localization import L
from resources.fonts import QXFontDB
from resources.gfx import QXImageDB, QXImageSequenceDB
from xlib import qt as qtx
from ...backend import BackendHost
class QBackendPanel(qtx.QXWidget):
"""
Base panel for CSW backend
"""
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import jax.numpy as jnp
import numpy as np
from jax import random
from rmhmc.hmc import hmc
from .problems import banana
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# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from . import ... | [
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'''Encoder eval for MS-SSIM
'''
from cortex.main import run
from cortex_DIM.configs.deconvnets import configs as decoder_configs
from cortex_DIM.models.decoder import Decoder
class MSSSIMEval(Decoder):
'''Measure MS-SSIM through a decoder trained with reconstruction.
'''
defaults = dict(
data=... | [
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# -*- coding: utf-8 -*-
import asyncio
import aiohttp
if __name__ == "__main__":
loop = asyncio.get_event_loop()
yahoo = Yahoo()
loop.run_until_complete(yahoo.fetch_price())
loop.run_forever()
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"""Reusable utilities for data and model I/O"""
from ._data_io import (
load_data,
save_csv,
try_load_data,
try_load_xy,
)
from ._model_io import save, saver
DIVIK_RESULT_FNAME = "result.pkl"
__all__ = [
"load_data",
"save_csv",
"try_load_data",
"try_load_xy",
"save",
"saver",
... | [
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import pyglet
import rabbyt
from pyglet.window import key
from pyglet.window import mouse
from pyglet.gl import *
from tools import *
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# -*- coding: utf-8 -*-
"""
Created on Fri Apr 30 22:41:09 2021
@author: amanda
"""
# loop through the .zip files and create images in .png format
# import necessary libraries
import os
import image_to_png
directory = "dataset_zip"
#file_extensions = ["OSAVI", "NDVI", "GNDVI", "PSRI", "NDVI45"]
extension = "OSAVI"
... | [
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import pandas as pd
CRITERIA = [
"largely_recommended",
"reliability",
"importance",
"engaging",
"pedagogy",
"layman_friendly",
"entertaining_relaxing",
"better_habits",
"diversity_inclusion",
"backfire_risk",
]
TCOLOR = [
"#1282b2",
"#DC8A5D",
"#C28BED",
"#4C7... | [
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# Copyright (c) 2015 Orange.
# 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 a... | [
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from diepvries.deserializers.snowflake_deserializer import (
DatabaseConfiguration,
SnowflakeDeserializer,
)
if __name__ == "__main__":
deserialize()
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"""
Metrics measuring either uncertainty or confidence of a model.
"""
import torch
import torch.nn.functional as F
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#
# PySNMP MIB module TUBS-IBR-AGENT-CAPABILITIES (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/TUBS-IBR-AGENT-CAPABILITIES
# Produced by pysmi-0.3.4 at Wed May 1 15:27:47 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python versio... | [
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import PIL
from PIL import ImageFont
from PIL import Image
from PIL import ImageDraw
import numpy as np
import matplotlib.pyplot as plt
import os
from skimage.filters import threshold_otsu
import scipy
from scipy import ndimage
from scipy.interpolate import griddata
import cv2
import preprocess
if __name__ == "__ma... | [
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83,... | 2.306122 | 1,029 |
import os
import sys
import numpy as np
import scipy.stats as stats
import pandas as pd
from IPython import embed
from qlknn.NNDB.model import Network, NetworkJSON
from qlknn.models.ffnn import QuaLiKizNDNN
shortname = {'Ate': '$R/L_{T_e}$',
'Ati': '$R/L_{T_i}$'}
longname ={
'Ate': 'Normalized el... | [
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... | 1.865297 | 876 |
"""Alconna ArgAction相关"""
from datetime import datetime
from typing import Any, Optional, TYPE_CHECKING, Literal
from arclet.alconna.components.action import ArgAction
from arclet.alconna.components.behavior import ArpamarBehavior
from arclet.alconna.exceptions import BehaveCancelled, OutBoundsBehavior
from arclet.alc... | [
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1... | 1.702081 | 913 |
from django.contrib import admin
from notification.models import Notifications
# Register your models here.
admin.site.register(Notifications) | [
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#!/usr/bin/env python
'''
Outer ear simulator
Author: Michal Sudwoj <msudwoj@student.ethz.ch>
Version: 1.0.0
Data: 2019-09-09
'''
from typing import Tuple
import numpy as np
import scipy.io.wavfile as wav
import scipy.signal as ss
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
from pysofaconventio... | [
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15... | 2.295578 | 1,289 |
import numpy as np
import math
| [
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from flask import Flask, Blueprint, request, jsonify, make_response, redirect, url_for
from werkzeug.security import generate_password_hash, check_password_hash
from functools import wraps
from db import db_connect
import datetime
import jwt
import sys
auth = Blueprint('auth', __name__)
@auth.route('/login')
@db_co... | [
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... | 3.431579 | 95 |
# yelp/urls.py
from django.urls import path
from django.conf.urls import url
from rest_framework.urlpatterns import format_suffix_patterns
# view functions
from .views import hello
from .views import home
urlpatterns = {
path('', hello, name='hello'),
path('<slug:business_id>', home, name='home'),
}
urlpatte... | [
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import tensorflow as tf
def model_inputs(image_size):
'''
Defines CNN inputs (placeholders).
:param image_size: tuple, (height, width) of an image
'''
#-> [Batch_size, image_size[0], image_size[1], 3]
inputs = tf.placeholder(dtype=tf.float32, shape=[None, image_size[0], image_si... | [
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#!/usr/bin/python
# -*- coding: utf-8 -*-
# Adapted from https://github.com/priba/nmp_qc
"""
utils.py: Functions to process dataset graphs.
Usage:
"""
from __future__ import print_function
import rdkit
import torch
from joblib import Parallel, delayed
import multiprocessing
import networkx as nx
import nu... | [
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22... | 2.381898 | 453 |
'''
###############################################################################
Ultrafast Quantum Optics Package
###############################################################################
Quantum Optics and Quantum Information Group
Written by
> Jean-Philippe MacLean: jpmaclean@uwaterloo.ca
> Sacha Schwarz s... | [
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... | 3.75 | 180 |
import os, sys
from flask import request
from flask_restplus import Namespace, Resource, fields
from flask.wrappers import Response
from app.utils.async_action import async_action
from app.api_response import ApiResponse
from app.errors import ApiException, JobTemplateNotFound, PlaybookFailure, PlaybookTimeout, Switch... | [
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198,
6738,
598,
13,
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13,
292,
13361,
62,
2673,
1330... | 2.337255 | 2,550 |
# Authors: Stephane Gaiffas <stephane.gaiffas@gmail.com>
# Ibrahim Merad <imerad7@gmail.com>
# License: BSD 3 clause
"""
This module implement the ``TMean`` class for the trimmed-means robust estimator.
`StateTMean` is a place-holder for the TMean estimator containing:
"""
from collections import namedtupl... | [
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1... | 2.491409 | 291 |
from typing import Set, List, Tuple
from bauh.api.abstract.handler import ProcessWatcher
from bauh.api.abstract.view import MultipleSelectComponent, InputOption
from bauh.commons import resource
from bauh.commons.html import bold
from bauh.gems.arch import ROOT_DIR
from bauh.view.util.translation import I18n
| [
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11... | 3.171717 | 99 |
from policyglass import Action, EffectiveAction
| [
6738,
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1330,
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11,
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628
] | 5.444444 | 9 |
import unittest
import shutil
import tempfile
from os import path
from unittest.mock import patch, mock_open
from taurex.model.model import ForwardModel
from taurex.model.simplemodel import SimpleForwardModel
import numpy as np
import pickle
| [
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... | 3.5 | 70 |
from typing import List
# 迭代先序遍历
| [
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] | 1.7 | 20 |
# if __name__ == '__main__':
# print "the generator function:"
# print repr(counter)
# print "call generator function"
# c = counter()
# print "the generator:"
# print repr(c)
# print 'iterate'
# for item in c:
# print 'received:', item
| [
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... | 2.322314 | 121 |
# -*- coding: utf-8 -*-
#
# Star Trek: Interstellar Transport
#
# Written in 2021 by Moky <albert.moky@gmail.com>
#
# ==============================================================================
# MIT License
#
# Copyright (c) 2021 Albert Moky
#
# Permission is hereby granted, free of... | [
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2,
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220,
220,
220,
220,
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220,
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220,
220,
220,
220,
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220,
220,
... | 3.091908 | 1,001 |
#!/usr/bin/python
# Filename: TMWP_OO_CustDataStructures.py
# TMWP = TheMitchWorksPro
# Functions and/or Objects for smarter handling of common data structures
# required imports are noted in the code where used/required
# from ... import ...
version = '0.1'
python_version_support = 'code shoud be compatibi... | [
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309,
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47,
796,
383,
44,
2007,
2304... | 3.015748 | 254 |
# Copyright 2017 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""File-based buffer common.
A file-based buffer which writes its events to a single file on disk, and
separately maintains metadata.
There are three fi... | [
2,
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307,
198,
2,
1043,
287,
262,
38559,
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2393,
13,
198,
198,... | 2.721083 | 8,092 |
from model.pgra import PGRA
from model.pgra_function.sc import Score
from data_utils.data_gen import LinkGenerator, init_seed_fn
from torch.utils.data import DataLoader
from time import perf_counter
import torch
import numpy as np
import config
from model.modules.regularizer import Regularizer
import tempfile
from coll... | [
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11,
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62,
28826,
62,
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198,
6738,
28034,
... | 3.724138 | 116 |
from astropy import cosmology as cosmo
import autofit as af
from autolens.pipeline import tagging
from autolens.pipeline.phase import dataset
from autolens.pipeline.phase.imaging.analysis import Analysis
from autolens.pipeline.phase.imaging.meta_imaging import MetaImaging
from autolens.pipeline.phase.imaging.result im... | [
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1960,
349,
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13,
79,
541,
4470,
13,
40715,
1330,
27039,
198,
... | 3.27451 | 102 |
from torch.utils.data import Dataset
import h5py
import abc
| [
6738,
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198,
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289,
20,
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11748,
450,
66,
628
] | 3.05 | 20 |
import os
import shutil
import time
import pprint
import torch
import argparse
import numpy as np
## ------------------------ Basic Functions ------------------------
def one_hot(indices, depth):
"""
Returns a one-hot tensor.
This is a PyTorch equivalent of Tensorflow's tf.one_hot.
Parameters:
... | [
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22369,
220,
198,
4299,
530,
62,
... | 2.954545 | 616 |
from pyoinformatics.align import lcs, format_matrix
from pyoinformatics.seq import Seq
| [
6738,
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1001,
80,
628,
198
] | 2.966667 | 30 |
from __future__ import annotations
import os
from importlib import import_module
from typing import TYPE_CHECKING, List, Type, Dict, Union
from openhab_creator import logger
if TYPE_CHECKING:
from openhab_creator.models.configuration import Configuration
from openhab_creator.output.items.baseitemscreator imp... | [
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5976,
62,
45... | 3.648936 | 94 |
import pandas as pd
from imblearn.over_sampling import RandomOverSampler
import math
#Training Data
re = RandomOverSampler()
df = pd.read_csv("data/raw/train.csv")
y = df["Survived"]
x = df.drop(["Survived", "Cabin", "Name", "PassengerId", "Ticket"], axis=1)
embark = ["C", "Q", "S"]
genders = ["male", "female"]
... | [
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67,
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6738,
545,
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13,
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260,
796,
14534,
5886,
16305,
20053,
3419,
628,
198,
7568,
796,
... | 2.135301 | 813 |
from typing import List
from cu_pass.dpa_calculator.aggregate_interference_calculator.configuration.support.eirps import \
EIRP_DISTRIBUTION_MAP_TYPE
from cu_pass.dpa_calculator.cbsd.cbsd import CbsdCategories
from cu_pass.dpa_calculator.dpa.builder import RadioAstronomyFacilityNames
from cu_pass.dpa_calculator.dp... | [
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68,
343,
862,
1330,
3467,
198,
220,
220,
220,
412,
... | 2.663462 | 416 |
import logging
import os
import sys
import time
from typing import Union
from io import IOBase
from .base import Client
from tftpy.shared import TIMEOUT_RETRIES
from tftpy.packet import types
from tftpy.exceptions import TftpException,TftpTimeout,TftpFileNotFoundError
from tftpy.states import SentReadRQ,S... | [
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201,
198,
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764,
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1330,
20985,
201,
198,
... | 2.016208 | 3,455 |
import importlib
max_steps = 1000
terminate_prob = 0.998
batch_size = 5
gameEnv = importlib.import_module('coin_game_v')
env = gameEnv.gameEnv(terminate_prob=terminate_prob, max_steps=max_steps, batch_size=batch_size)
print('state_space', env.state_space)
print('red_pos', env.red_pos)
print('blue_pos', env.blue_pos)
... | [
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62,
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3630,
62,
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62,
85,
... | 2.504225 | 710 |
# -*- coding: utf-8 -*-
import pygame, os
from src.sprites.MyStaticSprite import *
from src.sprites.Interactive import *
from src.ResourceManager import *
from src.scenes.stage.OnDialogueState import *
SPRITE_FILES = os.path.join("sprites", "interactives")
| [
2,
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198,
6738,
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2777,
23156,
13,
9492,
5275,
1330,
... | 2.910112 | 89 |
from os import environ
from boto3 import client
import actions
from loader import Loader
ACCOUNTID = client('sts').get_caller_identity()['Account']
ARN = 'arn:aws:forecast:{region}:{account}:dataset/{name}'
LOADER = Loader()
| [
6738,
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1136,
62,
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263,
62,
738,
414,
3419,
17816,
30116... | 3.026667 | 75 |
from ecpy import EllipticCurve, ExtendedFiniteField, symmetric_tate_pairing
import hashlib
import random
import cPickle
# PKI secret
secret = 0xdeadbeef
p = int("501794446334189957604282155189438160845433783392772743395579628617109"
"929160215221425142482928909270259580854362463493326988807453595748573"
... | [
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269,
31686,
293,
198,
198,
2,
29673,
40,
3200,
198... | 2.07529 | 518 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-10-12 20:32
from __future__ import unicode_literals
import annoying.fields
import byro.common.models.auditable
from django.db import migrations, models
import django.db.models.deletion
import localflavor.generic.models
| [
2,
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834,
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17201,
874,
198,
... | 2.968421 | 95 |
# -*- coding: utf-8 -*-
from dataclasses import dataclass
from typing import Any, Dict, List, NamedTuple, Optional
from bkuser_core.categories.plugins.ldap.models import DepartmentProfile, UserProfile
from bkuser_core.user_settings.loader import ConfigProvider
from django.utils.encoding import force_str
from ldap3.uti... | [
2,
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51,
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11,
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198,
198,
6738,
275,
74,
7220,
6... | 2.262757 | 1,705 |
# IMPORTS
# DATA
data = []
with open("Data - Day04.txt") as file:
for line in file:
data.append(line.strip().split(" "))
# GOAL 1
"""
A new system policy has been put in place that requires all accounts to use a passphrase
instead of simply a password.
A passphrase consists of a series of words (lowerca... | [
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198,
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25,
198,
220,
220,
220,
220,
220,
220,
220,
1366,
... | 2.823651 | 482 |
# --------------------------------------------------------------------------------------------
# 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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5964,
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2,
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198,... | 5.020619 | 97 |
#! /usr/bin/env python
"""
An implementation of Vanilla Policy Gradient (VPG) for solo_escape_task
VPG is a model free, on policy, reinforcement learning algorithm (https://papers.nips.cc/paper/1713-policy-gradient-methods-for-reinforcement-learning-with-function-approximation.pdf)
Author: LinZHanK (linzhank@gmail.com)... | [
2,
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14,
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318,
257,
2746,
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11,
37414,
4673,
1186... | 2.163529 | 2,709 |
# Buycoin Python SDK
# Copyright 2021 Iyanuoluwa Ajao
# See LICENCE for details.
"""
Authentication is handled by the :any:`Airtable` class.
>>> airtable = Airtable(base_key, table_name, api_key)
Note:
You can also use this class to handle authentication for you if you
are making your own wrapper:
>>> aut... | [
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6... | 2.934524 | 168 |
#!/usr/bin/env python3
###Description: The tool reads cern web services behind SSO using user certificates
from __future__ import print_function
import os, urllib, urllib2, httplib, cookielib, sys, HTMLParser, re
from optparse import OptionParser
if __name__ == "__main__":
parser = OptionParser(usage="%prog [-d(ebug... | [
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834,
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28686,
11,
2956,
297,
5... | 2.932039 | 412 |
# -*- coding: utf-8 -*-
import filecmp
import json
import os
import pkgutil
import zipfile
import hypothesis
import pytest
import six
from verta.tracking.entities._deployable_entity import _DeployableEntity
from verta._internal_utils.custom_modules import CustomModules
from .. import utils
from . import contexts
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# We need those imports for migrations compatibility purpose
from privatemedia.storage import ProtectedStorage, PrivateStorage # noqa
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# -*- coding: utf-8 -*-
#
# Copyright (c) 2014 Ari Aosved
# http://github.com/devaos/sublime-remote/blob/master/LICENSE
"""This module implements an API layer for Vagrant related functionality."""
import re
import subprocess
# =============================================================================
def parse_... | [
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import gym
import numpy as np
from gym_framework.panda_ctrl.panda_mujoco_base_ctrl import PandaBase
class PandaTorqueControl(PandaBase):
"""
Control the Panda robot by directly applying torques (control=torque).
"""
@property
@property
@property
@property
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import plotly.express as px
import plotly.io as pio
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
import numpy as np
from agents import *
from generators import *
from CMDataLoader import CMDataLoader
from Simulator import Simulator
from plotutils import update_layout... | [
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... | 2.558857 | 875 |
__all__ = (
"extract_value",
"extract_errors",
)
from typing import (
cast,
Any,
Type,
Union,
List,
)
from testplates.impl.value import (
MISSING,
)
from testplates.impl.exceptions import (
TestplatesError,
)
from .attrs import (
TESTPLATES_ERRORS_ATTR,
TESTPLATES_VALUE_A... | [
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... | 2.447154 | 369 |
# Copyright 2014 Diamond Light Source Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed t... | [
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... | 3.578947 | 361 |
import torch
# cand_ids = torch.randint(0,10000,(10,))
# print(cand_ids.dtype)
# print(cand_ids.shape)
scores = torch.Tensor([[ 0, 1, 2],[ 3, 4, 5],[ 6, 7, 8],[ 9, 10, 11]])
a=scores[0:2]
# print(a)
# print(scores.dtype)
# print(scores.shape)
# scores[[1,2,3]]
# with torch.autograd.profiler.profile(record_shap... | [
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import csv
from decimal import Decimal
from itertools import islice
from datetime import datetime, timedelta
import pytest
from bs4 import BeautifulSoup
from src.jamberry.workstation import extract_shipping_address, extract_line_items, parse_order_row_soup, \
JamberryWorkstation
# uncomment these lines to see ... | [
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... | 2.731707 | 369 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2020-03-28 11:49
from __future__ import unicode_literals
from django.db import migrations
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"""
clustering_utils.py: utilitary functions for the clustering.py module.
"""
import numpy as np
from enum import IntEnum
from .utils import find_in_sequence
class Link(IntEnum):
"""
Represents state of coreferring links.
Must be negative integers to not interfere with the clustering process.
"""
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