content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
import argparse
import math
import os
import pickle
import random
import sys
import numpy as np
import torch
import torch.backends.cudnn as cudnn
from torch import nn
from torch.optim import lr_scheduler
from torch.utils import data
import torchvision.transforms as transforms
import transforms as extended_transforms
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# Apresentao
print('Programa para somar 8 valores utilizando vetores/listas')
print()
# Declarao do vetor
valores = [0, 0, 0, 0, 0, 0, 0, 0]
# Solicita os valores
for i in range(len(valores)):
valores[i] = int(input('Informe o valor: '))
# Clculo da soma
soma = 0
for i in range(len(valores)):
soma += valores... | [
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... | 2.325301 | 166 |
from collections import defaultdict
f = open("input.txt")
d = f.read()
houses = defaultdict(int,{(0,0):1})
cur = [0,0]
for c in d:
if c == "<":
cur[0] -= 1
if c == ">":
cur[0] += 1
if c == "v":
cur[1] += 1
if c == "^":
cur[1] -= 1
houses[tuple(cur)]+=1
print(len(hou... | [
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... | 1.936047 | 172 |
# Blender-specific Configuration Settings
from math import pi
render = {
"render_engine": "CYCLES",
"render": {"cycles_device": "GPU"},
"dimensions": {"resolution": [1280, 1024], "percentage": 100.0},
"sampling": {"cycles_samples": 256, "cycles_preview_samples": 16},
"light_paths": {
"tran... | [
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from .base import Controller
from .base import Action
import numpy as np
import pandas as pd
import logging
from collections import namedtuple
from tqdm import tqdm
logger = logging.getLogger(__name__)
CONTROL_QUEST = 'simglucose/params/Quest.csv'
PATIENT_PARA_FILE = 'simglucose/params/vpatient_params.csv'
ParamTup = ... | [
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... | 2.335628 | 581 |
#
# Copyright 2013 Rackspace Hosting.
#
# 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 to in... | [
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1... | 3.731707 | 164 |
from flask import Flask, redirect, url_for, jsonify, request
app = Flask(__name__)
users = []
'''
Json api
formJson Json
1.
2.open api
3.
RESTful api
Dr. Fielding
url
/GET /players
/GET /player/id id
/PUT /players
/PATCH /players
/DELETE /player/id
/GET /player/id/level
'''
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... | 2.134615 | 156 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.10 on 2018-03-31 13:48
from __future__ import unicode_literals
from django.db import migrations, models
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... | 2.754386 | 57 |
import logging
from typing import Match, Any, Dict
import aiohttp
from discord import Message
from MoMMI import comm_event, command, MChannel, always_command
logger = logging.getLogger(__name__)
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... | 3.5 | 56 |
from test.BaseCase import BaseCase
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import sqlalchemy as sa
from ..core import db
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# -*- coding: utf-8 -*-
"""
Created on Fri Aug 25 13:08:16 2020
@author: haolinl
"""
import copy
import os
import time
import numpy as np
import random
import scipy.io # For extracting data from .mat file
def saveLog(file_name_list, elapsed_time_list, write_status, data_file_name,
s... | [
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201,... | 2.233452 | 2,810 |
import pytest
from mock import patch
from data.cache import InMemoryDataModelCache, NoopDataModelCache, MemcachedModelCache
from data.cache.cache_key import CacheKey
def test_memcache():
key = CacheKey("foo", "60m")
with patch("data.cache.impl.Client", MockClient):
cache = MemcachedModelCache(("12... | [
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62... | 2.545662 | 438 |
import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
ctx = demisto.context()
dataFromCtx = ctx.get("widgets")
if not dataFromCtx:
incident = demisto.incidents()[0]
accountName = incident.get('account')
accountName = f"acc_{accountName}" if accountName != "" else ""
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... | 1.745647 | 1,321 |
from torch.utils.data import DataLoader
from dataset.wiki_dataset import BERTDataset
from models.bert_model import *
from tqdm import tqdm
import numpy as np
import pandas as pd
import os
config = {}
config['train_corpus_path'] = './corpus/train_wiki.txt'
config['test_corpus_path'] = './corpus/test_wiki.txt'
config[... | [
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import triton
import triton.language as tl
# Notes
# 1. triton doesn't support uint32, so we use int32 instead and benefit from the fact that two's complement operations are equivalent to uint operations.
# 2. multiply_low_high is currently inefficient.
# 3. Even though technically philox sampling outputs int, in man... | [
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... | 3.727273 | 110 |
# Copyright 2021-present Kensho Technologies, LLC.
from .alphabet import Alphabet # noqa
from .decoder import BeamSearchDecoderCTC, build_ctcdecoder # noqa
from .language_model import LanguageModel # noqa
__package_name__ = "pyctcdecode"
__version__ = "0.3.0"
| [
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123... | 3.081395 | 86 |
from wumpus.server import Server
from circuits import Debugger
s = Server("0.0.0.0", 50551) + Debugger()
s.run()
import sys
sys.exit(1)
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... | 2.686275 | 51 |
import array
import struct
import time
from fcntl import ioctl
from typing import IO
from platypush.backend import Backend
from platypush.message.event.joystick import JoystickConnectedEvent, JoystickDisconnectedEvent, \
JoystickButtonPressedEvent, JoystickButtonReleasedEvent, JoystickAxisEvent
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... | 3.638554 | 83 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
File: mag_compensation.py
Author: Tanja Baumann
Email: tanja@auterion.com
Github: https://github.com/baumanta
Description:
Computes linear coefficients for mag compensation from thrust and current
Usage:
python mag_compensation.py /path/to/log/logfile.ulg curr... | [
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... | 2.274831 | 4,279 |
from flask import Flask
app = Flask(_name_) | [
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8
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import os
path1 = "outputs"
path2 = "outputs/_imgs"
path3 = "outputs/max_sharpe_weights"
path4 = "outputs/opt_portfolio_trades"
try:
os.mkdir(path1)
except OSError:
print (" %s " % path1)
else:
print (" %s " % path1)
try:
os.makedirs(path2)
os.makedirs(path3)
os.makedirs(path4)
except OSEr... | [
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"""Transform classes for runtime type checking."""
from typing import Undefined, List, Set, Any, cast, Tuple, Dict
from mypy.nodes import (
TypeDef, Node, FuncDef, VarDef, Block, Var, ExpressionStmt,
TypeInfo, SuperExpr, NameExpr, CallExpr, MDEF, MemberExpr, ReturnStmt,
AssignmentStmt, TypeExpr, PassStmt,... | [
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... | 2.896458 | 367 |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from django.contrib.auth.models import User
from django_tablib.admin import TablibAdmin
from jazzpos.models import Customer, Patient, Store, CustomerType, StoreSettings
from jazzpos.models import UserProfile
UserAdmin.inlines = [UserPro... | [
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6... | 3.489011 | 182 |
# Basic training configuration file
from torch.optim import RMSprop
from torch.optim.lr_scheduler import MultiStepLR
from torchvision.transforms import RandomHorizontalFlip, Compose
from torchvision.transforms import RandomResizedCrop, RandomAffine, RandomApply
from torchvision.transforms import ColorJitter, ToTensor, ... | [
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#!/usr/bin/env python
#
# Author: Qiming Sun <osirpt.sun@gmail.com>
#
'''
A simple example to run MCSCF with background charges.
'''
import numpy
from pyscf import gto, scf, mcscf, qmmm
mol = gto.M(atom='''
C 1.1879 -0.3829 0.0000
C 0.0000 0.5526 0.0000
O -1.1867 -0.2472 0.0000
H -1.9237 0... | [
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351... | 2.023952 | 668 |
import datetime
from decimal import Decimal, ROUND_DOWN, ROUND_UP
import logging
import re
from django.conf import settings
from django.core.exceptions import ValidationError
from django.core.validators import RegexValidator
from django.utils import formats
from django.utils.cache import patch_cache_control
from djang... | [
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... | 2.878752 | 833 |
# -*- coding: UTF-8 -*-
import os
this_file_path = os.path.dirname(os.path.realpath(__file__))
MODELS_DIR = os.path.join(this_file_path, "models/")
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... | 2.287879 | 66 |
import array as arr
a = arr.array('i', [ 1,2,3,4,5,6])
print(a)
# Accessing elements
print(a[2])
print(a[-2])
# BASIC ARRAY OPERATIONS
# Find length of array
print()
print('Length of array')
print(len(a))
# Adding elments to an array
# append() to add a single element at the end of an array
# extend() to add more th... | [
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278,
4847,
198,
4798,
7,
64,
58,
17,
12962,
198,
4798,
... | 2.672603 | 730 |
"""
Module containing low score classifier for MPG Ranch NFC detectors.
An instance of the `Classifier` class of this module assigns the `LowScore`
classification to a clip if the clip has no `Classification` annotation and
has a `DetectorScore` annotation whose value is less than a threshold.
This classifier is inte... | [
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from setuptools import setup, find_packages
setup(
name='athena2pd',
packages=['athena2pd'],
version=find_version('athena2pd/__init__.py'),
description='Help\'s simplify the access of databases stored in Amazon Athena by using SQL and pandas DataFrames.',
long_description=get_long_desc('README.md')... | [
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2... | 2.659631 | 379 |
from .spp import *
from .unified_foreground_packing import *
__all__ = [
'phsppog', 'UnifiedForegroundPacking'
]
| [
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... | 2.6 | 45 |
budget = float(input())
nights = int(input())
price_night = float(input())
percent_extra = int(input())
if nights > 7:
price_night = price_night - (price_night * 0.05)
sum = nights * price_night
total_sum = sum + (budget * percent_extra / 100)
if total_sum <= budget:
print(f"Ivanovi will be left ... | [
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... | 2.610778 | 167 |
import sublime, sublime_plugin
import threading
def ProgressFunction(function, messages, callback):
t = ThreadThread(function)
t.start()
Progress(t, messages[0], messages[1], callback) | [
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... | 3.472727 | 55 |
import html
import json
import logging
import re
from abc import abstractmethod
from datetime import datetime, time
from typing import Optional
import requests
from moscow_routes_parser.model import Route, Timetable, Equipment, Timetable_builder
from moscow_routes_parser.model_impl import Timetable_builder_t_mos_ru
... | [
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... | 1.879941 | 2,707 |
from web.api import BaseAPI
from utils import mongo
import json
| [
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# 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 to in writing, software
# d... | [
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... | 2.494755 | 4,004 |
import idna
| [
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] | 2.625 | 8 |
import mido
from socketer import MASM
inPort = None
doReadInput = False | [
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] | 3.272727 | 22 |
# AUTO GENERATED FILE - DO NOT EDIT
from dash.development.base_component import Component, _explicitize_args
| [
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] | 3.580645 | 31 |
from typing import List
from typing import Optional
from typing import Union
from models.vps import VpsStatus
from schemas.base import APIModel
from schemas.base import BasePagination
from schemas.base import BaseSchema
from schemas.base import BaseSuccessfulResponseModel
| [
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86... | 3.763158 | 76 |
import sigplot as sp
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
matplotlib.rcParams['toolbar'] = 'None'
plt.style.use('dark_background')
fig = plt.figure()
# seed = np.linspace(3, 7, 1000)
# a = (np.sin(2 * np.pi * seed))
# b = (np.cos(2 * np.pi * seed))
# sp.correlate(fig, b... | [
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... | 2.119874 | 317 |
# 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 may ... | [
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19... | 3.668639 | 338 |
import logging
import re
from pathlib import Path
from typing import Match
logger = logging.getLogger(__name__)
IMAGE_RE = re.compile(
r"/baseplate-py:(?P<version>[0-9.]+(\.[0-9]+)?)-py(?P<python>[23]\.[0-9]+)-(?P<distro>(bionic|buster))(?P<repo>-artifactory)?(?P<dev>-dev)?"
)
| [
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from sqlalchemy import Column, ForeignKey, Integer, String, Text
from model.base import Base
| [
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628,
198
] | 3.84 | 25 |
from django.urls import reverse
from consents.models import Consent, Term
from workshops.models import KnowledgeDomain, Person, Qualification
from workshops.tests.base import TestBase
| [
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1... | 4.325581 | 43 |
import numpy as np
import time
import cv2
import colorsys
import tensorflow as tf
from tensorflow.keras import backend as K
from tensorflow.keras.layers import Activation, ReLU, Multiply
# Custom objects from backbones package https://github.com/david8862/keras-YOLOv3-model-set/tree/master/common/backbones
def sw... | [
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11125,... | 2.498756 | 804 |
from styx_msgs.msg import TrafficLight
import tensorflow as tf
import numpy as np
import datetime
| [
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] | 3.37931 | 29 |
#Based off of http://wiki.wxpython.org/GLCanvas
#Lots of help from http://wiki.wxpython.org/Getting%20Started
from OpenGL.GL import *
import wx
from wx import glcanvas
from Primitives3D import *
from PolyMesh import *
from LaplacianMesh import *
from Geodesics import *
from PointCloud import *
from Cameras3D import *
... | [
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1... | 2.66782 | 289 |
import matplotlib.pyplot as plt
import numpy as np
import pickle
# import csv
# from collections import namedtuple
# from mpl_toolkits.mplot3d import Axes3D
# import matplotlib.animation as animation
# import matplotlib.colors as mc
#
# class ParametricDB:
# def __init__(self, dimensions, responses):
# se... | [
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... | 1.912649 | 8,483 |
#!/usr/bin/env python
import json
import sys
from gigamonkeys.spreadsheets import spreadsheets
spreadsheet_id = sys.argv[1]
ranges = sys.argv[2:]
data = spreadsheets().get(spreadsheet_id, include_grid_data=bool(ranges), ranges=ranges)
json.dump(data, sys.stdout, indent=2)
| [
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62,
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19... | 2.78 | 100 |
root_URL = "https://tr.wiktionary.org/wiki/Vikis%C3%B6zl%C3%BCk:S%C3%B6zc%C3%BCk_listesi_"
filepath = "words.csv"
#letters=["A","B","C","D","E","F","G","H","I","J","K","L","M","N","O",
# "P","R","S","T","U","V","Y","Z"] ##,,,, harfleri not work correctly
letters=["C"] | [
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27... | 1.964539 | 141 |
from github3 import login
from github3.models import GitHubError
from celery import task
from celery.decorators import periodic_task
from celery.task.schedules import crontab
from sow_generator.models import Repository, AuthToken
| [
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141... | 3.65625 | 64 |
import numpy as np
from sources import BaseSource
from sources.base import BaseSourceWrapper
from sources.preloaded import PreLoadedSource
import json
def preprocess(self, X):
res = []
for x in X:
x_norm = (x - self._mu) / self._sd
# we do not want to normalize END-OF-S... | [
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... | 2.676157 | 281 |
import random
import cv2
import numpy as np
import warnings
from PIL import Image
from gym.spaces import Box, Dict
from multiworld.core.multitask_env import MultitaskEnv
from multiworld.core.wrapper_env import ProxyEnv
from multiworld.envs.env_util import concatenate_box_spaces
from multiworld.envs.env_util import ge... | [
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... | 3.137931 | 116 |
#!/usr/bin/env python
import sys
import json
import logging
from math import exp
import requests as rq
import re
### For NLP post-processing
header={"Content-Type": "application/json"}
message='{"sample":"Hello bigdata"}'
api_url="http://192.168.1.197:11992/norm"
###
if __name__ == "__main__":
logging.basic... | [
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from langdetect import detect
gb = GB()
gb.foreach(detect_language)
gb.run('title:*') | [
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"""
Defines the basic objects for CORE emulation: the PyCoreObj base class, along with PyCoreNode,
PyCoreNet, and PyCoreNetIf.
"""
import os
import shutil
import socket
import threading
from socket import AF_INET
from socket import AF_INET6
from core.data import NodeData, LinkData
from core.enumerations import LinkTy... | [
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... | 3.504854 | 103 |
#
N = int(input())
S, P = (
zip(*(
(s, int(p))
for s, p in (input().split() for _ in range(N))
)) if N else
((), ())
)
ans = '\n'.join(
str(i)
for _, _, i in sorted(
zip(
S,
P,
range(1, N + 1)
),
key=lambda t: (t[0], -t[1]... | [
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... | 1.589862 | 217 |
# External cracking script, part of https://github.com/mmmds/WirelessDiscoverCrackScan
import datetime
import subprocess
import os
### CONFIGURATION
HASHCAT_DIR = "C:\\hashcat-5.1.0"
HASHCAT_EXE = "hashcat64.exe"
LOG_FILE = "crack_log.txt"
DICT_DIR = "./dicts"
files = read_files()
logs = par... | [
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198,
11748,
28686,
198,
198,
21017,
25626,
4261,
6234,
198,
... | 2.279817 | 218 |
"""Copyright (c) 2010-2012 David Rio Vierra
Permission to use, copy, modify, and/or distribute this software for any
purpose with or without fee is hereby granted, provided that the above
copyright notice and this permission notice appear in all copies.
THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WA... | [
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11,
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14,
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329,
597,
198,
29983,
351,
393,
1231,
6838,
318,
29376,
7520,
11,
2810,
326,... | 3.134443 | 781 |
# The MIT License (MIT)
#
# Copyright (c) 2016, Imperial College, London
#
# 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 rights t... | [
2,
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318,
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7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,
16727,
257,
4866... | 3.306422 | 545 |
"""
Keep track of which LBRY Files are downloading and store their LBRY File specific metadata
"""
import logging
import os
from twisted.enterprise import adbapi
from twisted.internet import defer, task, reactor
from twisted.python.failure import Failure
from lbrynet.reflector.reupload import reflect_stream
from lbr... | [
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198,
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198,
198,
6738,
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13,
9255,
7919,
1330,
512,
65,
15042,... | 3.054767 | 493 |
import os
import sys
import re
import logging
p4_logger = logging.getLogger("Perforce")
# Import app specific utilities, maya opens scenes differently than nuke etc
# Are we in maya or nuke?
if re.match( "maya", os.path.basename( sys.executable ), re.I ):
p4_logger.info("Configuring for Maya")
from MayaU... | [
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201,
198,
201,
198,
2,
17267,
598,
2176,
20081,... | 2.924883 | 213 |
#!/usr/bin/python3
#
# Copyright 2018 Google LLC
#
# 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 a... | [
2,
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14,
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2,
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366,
34156,
15341,
198,
2,
345,
743,
407,
779,
428,
2393,
2845,
... | 3.115358 | 1,439 |
import json
import re
from django.conf import settings
import requests
from webui.exceptions import BadRequestException, UnauthorizedException, ServerErrorException, RedirectException, \
UnexpectedException, LocationHeaderNotFoundException, NotFoundException
| [
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11,
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12331,
16922,
11,
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1060,
16922,
11,
... | 4.265625 | 64 |
# Copyright 2021, Yahoo
# Licensed under the terms of the Apache 2.0 license. See the LICENSE file in the project root for terms
import time
from typing import Dict, List, Optional, Type
from pydantic import validate_arguments
from ...app_logger import AppLogger
from ...testplan import SystemState
from ...testplan.... | [
2,
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198,
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640,
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19720,
1330,
360,
713,
11,
7343... | 3.671053 | 304 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from vimeodl import __version__
from vimeodl.vimeo import VimeoLinkExtractor, VimeoDownloader
| [
2,
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... | 2.611111 | 54 |
#!/usr/bin/env python3
# Copyright 2004-present Facebook. All Rights Reserved.
import asyncio
import functools
import inspect
from contextlib import contextmanager
from typing import (
Any,
AsyncIterable,
Awaitable,
Callable,
Generic,
Iterator,
List,
Mapping,
Optional,
Sequence,... | [
2,
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310,
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198,
11748,
10104,
198,
6738,
4732,
8019,
1330,
4732,
37153,
... | 2.58597 | 1,454 |
import pygame
import sys
pygame.init()
clock = pygame.time.Clock()
screen = pygame.display.set_mode([500, 500])
gameOn = True
x1 = 0
y1 = 100
x2 = 100
y2 = 0
while gameOn == True:
screen.fill([255,255,255])
for event in pygame.event.get():
if event.type == pygame.QUIT:
pygame.quit()
... | [
11748,
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13,
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198,
198,
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796,
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13,
13812,
13,
2617,
62,
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26933,
4059,
11,
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12962,
198,
... | 1.85177 | 452 |
import numpy as np
import torch
import matplotlib.pyplot as plt
from torch import optim, nn
from pytorch.xor.multilayer_perceptron import MultilayerPerceptron
from pytorch.xor.utils import LABELS, get_toy_data, visualize_results, plot_intermediate_representations
input_size = 2
output_size = len(set(LABELS))
num_hidd... | [
11748,
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198,
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13165,
354,
13,
87,
273,
13,
16680,
346,
2794,
62,
525,
... | 2.213855 | 1,328 |
import json
import mock
from django.core.urlresolvers import reverse
from pymongo.errors import ServerSelectionTimeoutError
from analytics.models import CourseReport
from core.common.mongo import c_onboarding_status, _conn
from core.common import onboarding
from ct.models import UnitLesson, StudentError
from ctms.t... | [
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13,
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1330,
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4653,
1564,
48031,
12331,
628,
198,
6738,
23696,
13,
27530,
1330,
205... | 2.95122 | 328 |
# Django settings for signbank project.
import os
from signbank.settings.server_specific import *
from datetime import datetime
DEBUG = True
PROJECT_DIR = os.path.dirname(BASE_DIR)
MANAGERS = ADMINS
TIME_ZONE = 'Europe/Amsterdam'
LOCALE_PATHS = [BASE_DIR+'conf/locale']
# in the database, SITE_ID 1 is example.com
... | [
2,
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6460,
329,
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1628,
13,
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13,
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62,
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198,
198,
30531,
796,
6407,
198,
198,
31190,
23680,
62,
34720,
... | 2.417208 | 3,696 |
"""
A module for all rook functionalities and abstractions.
This module has rook related classes, support for functionalities to work with
rook cluster. This works with assumptions that an OCP cluster is already
functional and proper configurations are made for interaction.
"""
import base64
import logging
import ran... | [
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198,
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468,
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482,
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326,
281,
440,
8697,
13... | 2.21578 | 18,593 |
# pylint: disable=line-too-long
r"""Default configs for COCO detection using DETR.
"""
# pylint: enable=line-too-long
import copy
import ml_collections
_COCO_TRAIN_SIZE = 118287
NUM_EPOCHS = 300
def get_config():
"""Returns the configuration for COCO detection using DETR."""
config = ml_collections.ConfigDict()... | [
2,
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600,
25,
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28,
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82,
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600,
25,
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28,
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12,
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12,
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198,
... | 2.745262 | 1,319 |
import pytest
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
| [
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13511,
628
] | 4.291667 | 24 |
from scale.dataset import read_mtx
from argparse import ArgumentParser
import pandas as pd
import numpy as np
import os
if __name__ == '__main__':
main()
| [
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5046,
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198,
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628,
198,
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361,
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... | 2.928571 | 56 |
from neo4jclient.AbsClient import AbstractClient
| [
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19,
73,
16366,
13,
24849,
11792,
1330,
27741,
11792,
628
] | 4.166667 | 12 |
import time
from datetime import date,datetime
from astral import LocationInfo
from astral.sun import sun
| [
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1330,
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11,
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13397,
12360,
198,
6738,
6468,
1373,
13,
19155,
1330,
4252,
198
] | 3.925926 | 27 |
sk = Skidoo()
| [
8135,
796,
3661,
312,
2238,
3419,
198
] | 2 | 7 |
import importlib
__all__ = ['mount_gdrive']
def mount_gdrive() -> str:
"""Mount Google Drive storage of the current Google account and return the root path.
Functionality only available in Google Colab Enviroment; otherwise, it raises a RuntimeError.
"""
if (importlib.util.find_spec("google.colab")... | [
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628,
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220,
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35452,
3012,
9974,
6143,
286,
262,
1459,
3012,
1848,
290,
1441,
... | 3.086486 | 185 |
import datetime
from django.utils import timezone
from django.test import TestCase
from django.contrib.auth.models import (
User,
)
from wasch.models import (
Appointment,
WashUser,
WashParameters,
# not models:
AppointmentError,
StatusRights,
)
from wasch import tvkutils, payment
| [
11748,
4818,
8079,
198,
6738,
42625,
14208,
13,
26791,
1330,
640,
11340,
198,
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13,
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198,
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13,
18439,
13,
27530,
1330,
357,
198,
220,
220,
220,
11787,
11,
198,
... | 2.862385 | 109 |
from typing import List
from collections import Counter
# class Solution:
# def isMajorityElement(self, nums: List[int], target: int) -> bool:
# d = Counter(nums)
# return d[target] > len(nums)//2
# class Solution:
# def isMajorityElement(self, nums: List[int], target: int) -> bool:
# ... | [
6738,
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1330,
7343,
198,
6738,
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198,
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2,
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25,
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2,
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220,
220,
220,
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318,
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7,
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25,
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58,
600,
4357,
2496,
25,
493,
8,
4613,
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25,
198,
... | 2.191388 | 209 |
"""
Advent of Code 2021 - Day 17
https://adventofcode.com/2021/day/17
"""
import re
from math import ceil, sqrt
from typing import List, Tuple
DAY = 17
FULL_INPUT_FILE = f'../inputs/day{DAY:02d}/input.full.txt'
TEST_INPUT_FILE = f'../inputs/day{DAY:02d}/input.test.txt'
if __name__ == '__main__':
part1_an... | [
37811,
198,
2782,
1151,
286,
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33448,
532,
3596,
1596,
198,
5450,
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324,
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1659,
8189,
13,
785,
14,
1238,
2481,
14,
820,
14,
1558,
198,
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198,
11748,
302,
198,
198,
6738,
10688,
1330,
2906,
346,
11,
19862,
17034,
198,... | 2.2657 | 207 |
from typing import List
from typing import Optional
from typing import Tuple
from typing import Union
Payload = Tuple[List['Literal'], 'Substitutions']
def fire_rules(program: 'Program') -> List['Rule']:
if program.is_ground():
return program
rules = []
table = {}
root = Root()
for r... | [
6738,
19720,
1330,
7343,
198,
6738,
19720,
1330,
32233,
198,
6738,
19720,
1330,
309,
29291,
198,
6738,
19720,
1330,
4479,
198,
198,
19197,
2220,
796,
309,
29291,
58,
8053,
17816,
43,
270,
1691,
6,
4357,
705,
7004,
301,
270,
3508,
20520,... | 2.051685 | 445 |
import HandRankings as Hand
from deuces.deuces import Card, Evaluator
| [
11748,
7157,
27520,
654,
355,
7157,
198,
6738,
390,
26873,
13,
2934,
26873,
1330,
5172,
11,
26439,
84,
1352,
628
] | 3.55 | 20 |
from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone
| [
6738,
42625,
14208,
13,
9945,
1330,
4981,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
27530,
1330,
11787,
198,
6738,
42625,
14208,
13,
26791,
1330,
640,
11340,
628
] | 3.6 | 30 |
import os
from trame import change, update_state
from trame.layouts import SinglePageWithDrawer
from trame.html import vtk, vuetify, widgets
from vtkmodules.vtkCommonDataModel import vtkDataObject
from vtkmodules.vtkFiltersCore import vtkContourFilter
from vtkmodules.vtkIOXML import vtkXMLUnstructuredGridReader
from ... | [
11748,
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198,
198,
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11,
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62,
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480,
13,
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5269,
1330,
14206,
9876,
3152,
25302,
263,
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491,
480,
13,
6494,
1330,
410,
30488,
11,
410,
84,
316,
1958,
11,
40803,
1... | 3.19833 | 3,353 |
# Copyright 1996-2021 Soft_illusion.
#
# 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 to in w... | [
2,
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8235,
12,
1238,
2481,
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62,
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2,
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2,
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13789,
11,
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362,
13,
15,
357,
1169,
366,
34156,
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198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
13... | 3.538462 | 208 |
import mysql.connector
from mysql.connector import errorcode
config = {
'user': 'user',
'password': 'password',
'host': 'mysql_container',
'database': 'sample_db',
'port': '3306',
}
if __name__ == "__main__":
try:
conn = mysql.connector.connect(**config)
cursor = conn.cursor()
... | [
11748,
48761,
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273,
198,
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48761,
13,
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198,
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796,
1391,
198,
220,
220,
220,
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7220,
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705,
7220,
3256,
198,
220,
220,
220,
705,
28712,
10354,
705,
28712,
3256,
198,
220,
220,... | 2.24933 | 373 |
# criar um programa que pergunte as dimenses de uma parede, calcule sua rea e informe quantos litros de tinta
# seriam necessrios para a pintura, aps perguntar o rendimento da tinta informado na lata
print('=' * 40)
print('{:^40}'.format('Assistente de pintura'))
print('=' * 40)
altura = float(input('Informe a altura... | [
2,
269,
380,
283,
23781,
1430,
64,
8358,
583,
70,
6311,
355,
5391,
4541,
390,
334,
2611,
279,
1144,
68,
11,
2386,
23172,
424,
64,
302,
64,
304,
4175,
68,
5554,
418,
6578,
4951,
390,
34791,
64,
198,
2,
1055,
1789,
2418,
380,
418,
... | 2.610951 | 347 |
from random import sample
from time import sleep
jogos = list()
print('-' * 20)
print(f'{"MEGA SENA":^20}')
print('-' * 20)
while True:
n = int(input("\nQuatos jogos voc quer que eu sorteie? "))
if (n > 0):
break
print('\n[ERRO] Valor fora do intervalo')
print()
print('-=' * 3, en... | [
6738,
4738,
1330,
6291,
198,
6738,
640,
1330,
3993,
198,
198,
73,
519,
418,
796,
1351,
3419,
198,
198,
4798,
10786,
19355,
1635,
1160,
8,
198,
4798,
7,
69,
6,
4895,
44,
33146,
44738,
32,
1298,
61,
1238,
92,
11537,
198,
4798,
10786,
... | 2.020548 | 292 |
from importlib import import_module
from unittest import TestCase as UnitTestCase
from django.contrib.auth.models import Group
from django.core.management import BaseCommand
from django.conf import settings
from django.test import TestCase
from django.views.generic import TemplateView
try:
from unittest.mock impor... | [
6738,
1330,
8019,
1330,
1330,
62,
21412,
198,
6738,
555,
715,
395,
1330,
6208,
20448,
355,
11801,
14402,
20448,
198,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
27530,
1330,
4912,
198,
6738,
42625,
14208,
13,
7295,
13,
27604,... | 2.066427 | 557 |
'''
Favorite Files
Licensed under MIT
Copyright (c) 2012 Isaac Muse <isaacmuse@gmail.com>
'''
import sublime
import sublime_plugin
from os.path import join, exists, normpath
from favorites import Favorites
Favs = Favorites(join(sublime.packages_path(), 'User', 'favorite_files_list.json'))
| [
7061,
6,
198,
49434,
13283,
198,
26656,
15385,
739,
17168,
198,
15269,
357,
66,
8,
2321,
19068,
32887,
1279,
9160,
330,
76,
1904,
31,
14816,
13,
785,
29,
198,
7061,
6,
198,
198,
11748,
41674,
198,
11748,
41674,
62,
33803,
198,
6738,
... | 3.215054 | 93 |
from polyphony import testbench
test()
| [
6738,
7514,
23021,
1330,
1332,
26968,
198,
9288,
3419,
198
] | 3.9 | 10 |
#!/bin/env python3
from collections import Counter
from django.conf import settings
from django.contrib.auth.decorators import login_required, permission_required
from django.db import models as dm
from django.shortcuts import get_object_or_404, render
from django.views.generic.list import BaseListView
from django.vie... | [
2,
48443,
8800,
14,
24330,
21015,
18,
198,
198,
6738,
17268,
1330,
15034,
198,
6738,
42625,
14208,
13,
10414,
1330,
6460,
198,
6738,
42625,
14208,
13,
3642,
822,
13,
18439,
13,
12501,
273,
2024,
1330,
17594,
62,
35827,
11,
7170,
62,
3... | 3.496124 | 129 |
from manimlib.constants import *
from manimlib.mobject.types.vectorized_mobject import VMobject
from manimlib.utils.config_ops import digest_config
from manimlib.utils.space_ops import get_norm
| [
6738,
582,
320,
8019,
13,
9979,
1187,
1330,
1635,
198,
6738,
582,
320,
8019,
13,
76,
15252,
13,
19199,
13,
31364,
1143,
62,
76,
15252,
1330,
16990,
15252,
198,
6738,
582,
320,
8019,
13,
26791,
13,
11250,
62,
2840,
1330,
16274,
62,
1... | 3.266667 | 60 |
#-*- coding: utf-8 -*-
#
# Copyright (c) 2012, ECSMate development team
# All rights reserved.
#
# ECSMate is distributed under the terms of the (new) BSD License.
# The full license can be found in 'LICENSE.txt'.
"""ECS SDK
"""
import time
import hmac
import base64
import hashlib
import urllib
import... | [
2,
12,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
201,
198,
2,
201,
198,
2,
15069,
357,
66,
8,
2321,
11,
412,
7902,
44,
378,
2478,
1074,
201,
198,
2,
1439,
2489,
10395,
13,
201,
198,
2,
201,
198,
2,
412,
7902,
44,
378... | 2.033299 | 961 |
# Copyright 2012 OpenStack Foundation.
# 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 req... | [
2,
15069,
2321,
4946,
25896,
5693,
13,
198,
2,
1439,
6923,
33876,
13,
198,
2,
198,
2,
220,
220,
220,
49962,
739,
262,
24843,
13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
345,
743,
198,
2,
220,
220,
220,
407,
779,
... | 3.225873 | 487 |
"""
MIT License
Copyright (c) 2019 NinjaSnail1080
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 rights
to use, copy, modify, merge, publish... | [
37811,
198,
36393,
13789,
198,
198,
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66,
8,
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14152,
16501,
603,
24045,
198,
198,
5990,
3411,
318,
29376,
7520,
11,
1479,
286,
3877,
11,
284,
597,
1048,
16727,
257,
4866,
198,
1659,
428,
3788,
290,
3917,
10314,
3696,
3... | 2.650196 | 2,044 |