content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
"""Edge Recombination Operation.
Edge recombination (ERO) is a fairly complicated crossover operation for
permutation encoded GAs. It is useful when the order of values is more
important than their absolute position. For example, when alleles are vertices
in a graph and the fitness function considers edges between the... | [
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6... | 2.455668 | 891 |
import logging
import azure.functions as func
| [
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import jk_console
#
| [
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2,
628,
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] | 2.266667 | 15 |
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 12 15:15:10 2021
@author: hbckleikamp
"""
#%% change directory to script directory (should work on windows and mac)
import os
from pathlib import Path
from inspect import getsourcefile
os.chdir(str(Path(os.path.abspath(getsourcefile(lambda:0))).parents[0]))
scr... | [
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... | 2.19273 | 1,183 |
#!/usr/bin/env python3
print('hello space')
| [
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import pygame, sys
from pygame.locals import *
pygame.init()
FPS = 30
curSurface = pygame.display.set_mode((400, 340), 0, 32)
pygame.display.set_caption("font")
#设置颜色
BLACK = (0, 0, 0)
WHITE = (255, 255, 255)
RED = (255, 0, 0)
GREEN = (0, 255, 0)
BLUE = (0, 0, 255)
fontObj = pygame.font.Font("SourceCodePro-It.t... | [
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1... | 2.214286 | 336 |
"""
Copyright 2020 Ross Wightman
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
... | [
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1639... | 3.198218 | 449 |
from eth_utils import (
force_bytes,
)
| [
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from __future__ import division
from vsr.common.helpers import logger
from vsr.common.helpers import results as results_helper
from vsr.common.helpers import plot as plot_helper
from vsr.common.helpers.extras import merge_params
from vsr.modules.metrics.measures import f_score, mean_ap, precision, recall
# from vsr.me... | [
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... | 3.304636 | 151 |
#
# gaussInterp routine -- Gaussian weighted smoothing in lat, lon, and time
#
# Based on Ed Armstrong's routines.
#
# Calls into optimized routines in Fortran or cython.
# See gaussInterp_f.f or gaussInterp.pyx
#
import numpy as N, time
from gaussInterp_f import gaussinterp_f
def gaussInterp(var, ... | [
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25... | 2.250929 | 1,076 |
message = "Hello World"
print(len(message[0:5]))
import sys
import math
for i in range(len(message)):
if (message[i] == " "):
print(f"{i}: ---")
else:
print(f"{i}:{message[i]}", end="\t")
xword = "fuckhaton {0}".format("hi")
if ("fuck" in xword):
xword = xword.replac... | [
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... | 2.097326 | 935 |
#!/usr/local/bin/python3
MYSQL = {
'host': '127.0.0.1',
'user': 'root',
'password': 'root',
'db': 'comment',
'port': '3306',
'charset': 'utf8',
}
LOG = {
'MySql': 'mysql/error.log',
'Driver': 'driver/error.log',
'Request': 'request/error.log',
'Soup': 'soup/error.log'
}
url_lis... | [
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220... | 1.613828 | 1,779 |
import inspect
from typing import Iterable, Sequence, Tuple, TypeVar
from pydantic import BaseModel
from pydantic.fields import (
MAPPING_LIKE_SHAPES,
SHAPE_LIST,
SHAPE_TUPLE,
SHAPE_TUPLE_ELLIPSIS,
ModelField,
)
T = TypeVar("T")
def grouped(items: Sequence[T], n: int = 2) -> Iterable[Tuple[T, ..... | [
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... | 2.247312 | 279 |
# Copyright 2021 nakamura_yuki
#
# This program comes from Qiita article
# URL: https://qiita.com/vpcf/items/b680f504cfe8b6a64222
#
# 他のカラーマップに関してはMatplotlibやgeocat-vizで対応可能
#
# To Do
# - get_colormapで存在しないカラーマップを指定した際に、
# (自作の?)エラーを表示させるようにする
#
from matplotlib.colors import LinearSegmentedColormap, ListedColormap
... | [
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2... | 1.524943 | 21,549 |
import inquirer
from enum import Enum
from controllers.tournament_controller import get_all_tournaments_as_list, get_tournament_from_id, deserialize_tournament
from constants.common_constants import ANSWER_KEY
from views.tournament.single_tournament_view import single_tournament_prompt
class Answer(Enum):
"""Poss... | [
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... | 2.461988 | 684 |
# necessary imports - do not change, and include on every slide
import dash_html_components as html
from app import app
import dash_core_components as dcc
from dash.dependencies import Output, Input, State
###
content = html.H1('End',style=dict(textAlign='center')) | [
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1... | 3.546667 | 75 |
from discord.ext import commands
from os import environ
from protobot.roles.commands import friend
bot = commands.Bot(command_prefix='pt!')
bot.add_command(friend)
if __name__ == '__main__':
start() | [
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1... | 3.014706 | 68 |
from pyspark.ml.feature import OneHotEncoder, StringIndexer
from pyspark.sql import SQLContext as spark
import pyspark.sql.functions as funct
from pyspark.ml import Pipeline, Transformer
from pyspark.ml.feature import Imputer
from pyspark.sql.functions import year, month, dayofmonth
from pyspark.sql.types import Double... | [
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1257... | 3.425101 | 247 |
"""template script for creating a csv file from a dictionary"""
import csv
# sample of a list of dictionaries
# normally this would be in a separate file, or
# constructed from data in a separate file
presidents_list = [
{"Presidency":1,"President":"George Washington","Wikipedia_entry":"http://en.wikipedia.org/wiki/Ge... | [
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42... | 3.250547 | 914 |
""" Tests of bcforms command line interface (bcforms.__main__)
:Author: Jonathan Karr <karr@mssm.edu>
:Date: 2019-06-25
:Copyright: 2019, Karr Lab
:License: MIT
"""
from bcforms import __main__
import bcforms
import capturer
import mock
import unittest
| [
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... | 3.011765 | 85 |
# -*- coding: utf-8 -*-
# @Time : 2020/9/12 下午11:57
# @Author : 司云中
# @File : bonus_api.py
# @Software: Pycharm
from rest_framework.generics import GenericAPIView
from rest_framework.mixins import *
from rest_framework.permissions import IsAuthenticated
from voucher_app.models.voucher_models import VoucherConsumer
... | [
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2,
... | 2.30602 | 598 |
from django.contrib import auth
from django.core.cache import cache
from django.db import models
from django.dispatch import receiver
from reserva.core.hash_id import hash_id
from reserva.core.managers import NameApplicationManager, NationalityManager
@receiver(models.signals.pre_save, sender=NameApplication)
... | [
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198,
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13,... | 3.445455 | 110 |
from maya.app.renderSetup.model.selector import SimpleSelector
from maya.app.renderSetup.model.selector import BasicSelector
from maya.app.renderSetup.model.applyOverride import getAllApplyOverrideClasses
from maya.app.renderSetup.model.overrideUtils import getAllOverrideClasses
from maya.app.renderSetup.model.collecti... | [
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743,
64,
13,
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13,
132... | 3.406061 | 165 |
import ast
from typing import List, Tuple, Union, Set
from .node_visitor import MyNodeVisitor, NodeNotSupportedError
from .util import assign, load, clone_node, parse_ast_expr, parse_ast_stmt
# Typing shorthands.
ActionsT = List[ast.stmt]
VisitExprReturnT = Tuple[ast.expr, ActionsT] # (result expr node, actions)
Vi... | [
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... | 2.323994 | 1,963 |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import (absolute_import, division, print_function,
unicode_literals)
import abc
import copy
import warnings
from collections import OrderedDict
import numpy as np
from astropy.extern import six
from astropy.io impor... | [
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220,
220,
220,
220,
220,
220,
22... | 2.380374 | 9,141 |
import torch.nn as nn
from ..util import option_setter
from .vconv2d import VConv2d
options = {
'ngf': 32,
'conv_size': 3,
'conv_pad': 2,
'pool_size': 3,
'pool_pad': 1,
'pool_stride': 2,
'norm_layer': nn.BatchNorm2d,
'n_downsample': 4,
'use_bias': False,
'shrinking_filter': Fa... | [
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3... | 2.094241 | 191 |
from .tts import play
| [
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83,
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1330,
711,
198
] | 3.142857 | 7 |
from setuptools import setup
from os import path
# Get the long description from the DESCRIPTION file
with open('DESCRIPTION.rst') as f:
long_description = f.read()
package_name = 'SubtitleSynchronizer'
setup(
name=package_name,
version='0.0.3',
description='Automatically synchronize subtitles with v... | [
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81,
301,
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355,
277,
25,
198,
220,
220,
220,
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62,
... | 2.623165 | 613 |
from lager.httpx import HttpxSink
from lager import LAGER_PORT
from lager import LOG as log
import httpx
httpx.post('http://localhost:52437/', data={
'herm': 234
})
httpsink = HttpxSink(url=f'http://localhost:{LAGER_PORT}/')
log.add(
httpsink.handle,
# level="DEBUG",
serialize=True
)
import ... | [
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137... | 2.417808 | 146 |
import glob
import os
from abc import ABC, abstractmethod
| [
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198
] | 3.866667 | 15 |
from images.loader import SingleFolderDataSet
from torch.utils.data.dataloader import DataLoader
from torchvision import transforms
import struct
import os
def features_saver(dimension, feature_extractor, image_dir, feature_file, input_size):
"""
write features into feature_file + '.fvecs'
write features... | [
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31408,
198,
198,
11748,
2878,
198,
11748,
28686,
628,
198,
4299,
3... | 2.615385 | 702 |
from cmstk.filetypes import TextFile
import copy
from typing import Dict, List, Optional
class OutcarFile(TextFile):
"""File wrapper for a VASP OUTCAR file.
Args:
filepath: Filepath to an OUTCAR file.
Attributes:
filepath: Filepath to an OUTCAR file.
free_energy: Components of th... | [
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11,
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7,
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8979,
2599,
198,
220,
220,
220,
37227,
8979,
29908,
329,
257,... | 2.741497 | 147 |
# myTeam.py
# ---------
# Licensing Information: You are free to use or extend these projects for
# educational purposes provided that (1) you do not distribute or publish
# solutions, (2) you retain this notice, and (3) you provide clear
# attribution to UC Berkeley, including a link to http://ai.berkeley.edu.
#
# At... | [
2,
616,
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13,
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2,
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2,
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2,
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16,
8,
345,
466,
407,
14983,
393,
7715,
198,
2,
8136,
11,
357,... | 2.602723 | 10,577 |
import os, pprint
import numpy as np
import joblib
from utils.BaseModel import BaseModel
from utils.AwesomeTimeIt import timeit
from utils.RegressionReport import evaluate_regression
from utils.FeatureImportanceReport import report_feature_importance
from sklearn.model_selection import RandomizedSearchCV
from sklearn... | [
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299,
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355,
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13,
49061,
7575,
1026,
1330,
640,
270,
198,
6738,
3384,
448... | 3.006452 | 155 |
#!/usr/bin/env python
# shell14 0.0.1
# Generated by dx-app-wizard.
#
# Basic execution pattern: Your app will run on a single machine from
# beginning to end.
#
# See https://wiki.dnanexus.com/Developer-Portal for documentation and
# tutorials on how to modify this file.
#
# DNAnexus Python Bindings (dxpy) documentati... | [
2,
48443,
14629,
14,
8800,
14,
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21015,
198,
2,
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1415,
657,
13,
15,
13,
16,
198,
2,
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515,
416,
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12,
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12,
86,
8669,
13,
198,
2,
198,
2,
14392,
9706,
3912,
25,
3406,
598,
481,
1057,
319,
257,
2060,
4572,
... | 2.881773 | 203 |
from flask import Flask,
render_template, request
import requests
import json
import os
app = Flask(__name__)
picfolder = os.path.join('static','pics')
app.config['UPLOAD_FOLDER'] = picfolder
@app.route('/temperature', methods=['POST'])
@app.route('/')
if __name__ == '__main__':
app.r... | [
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42903,
1330,
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11,
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201,
198,
220,
220,
220,
220,
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62,
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11,
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201,
198,
11748,
7007,
201,
198,
11748,
33918,
201,
198,
11748,
28686,
201,
198,
201,
198,
1324,
796,
46947,
7,
834,
3672,
834,
8,
201,
198,... | 2.417266 | 139 |
import os
from pathlib import Path
from django.urls import reverse_lazy
# Build paths inside the project like this: BASE_DIR / 'subdir'.
BASE_DIR = Path(__file__).resolve().parent.parent
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/3.2/howto/deployment/checkl... | [
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82,
1330,
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62,
75,
12582,
198,
198,
2,
10934,
13532,
2641,
262,
1628,
588,
428,
25,
49688,
62,
34720,
1220,
705,
7266,
15908,
4458,
198,
33,
111... | 2.38165 | 2,049 |
import uuid
from conftest import get_test_docker_api
from sretoolbox.container.image import Image
from managedtenants.bundles.bundle import Bundle
from tests.testutils.addon_helpers import reference_addon_bundle_annotations
from tests.testutils.paths import REFERENCE_ADDON
| [
11748,
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198,
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651,
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970,
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13,
34924,
13,
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1330,
7412,
198,
198,
6738,
5257,
1452,
1187,
13,
65,
917,
829,
13,
65,
31249,
1330,
... | 3.378049 | 82 |
import matplotlib.pyplot as plt
import pickle
import numpy as np
with open('features.pkl','rb') as f:
features=pickle.load(f)
with open("labels.pkl",'rb') as f:
labels=pickle.load(f)
indexs=[]
benign_indexs=[]
for index,i in enumerate(labels):
if i ==1 :
indexs.append(index)
else:
... | [
11748,
2603,
29487,
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13,
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29487,
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83,
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299,
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40890,
13,
79,
41582,
41707,
26145,
11537,
355,
277,
25,
198,
220,
220,
220,
220,
220,
220,
22... | 2.085799 | 338 |
import os
from multiprocessing.managers import BaseProxy, MakeProxyType, DictProxy
import multiprocessing as mp
import numpy as np
from shared_ndarray.shared_ndarray import SharedNDArray
import shared_memory
BaseSharedSequenceProxy = MakeProxyType(
'BaseSharedSequenceProxy',
('__contains__', '__getitem__', '... | [
11748,
28686,
198,
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360,
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198,
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305,
919,
278,
355,
29034,
198,
11748,
299,
32152,
355,
45941,
198,
6738,
4888,
62,
358,
... | 3.008368 | 239 |
from flask import Flask, render_template, request, url_for, redirect
import os
import requests
from random import random
from pymongo import MongoClient
from bson.objectid import ObjectId
# FRAMEWORK SETUP
app = Flask(__name__)
host = os.environ.get('MONGODB_URI', 'mongodb://localhost:27017/Eventuu')
client = MongoCli... | [
6738,
42903,
1330,
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11,
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11,
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11,
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62,
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11,
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198,
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7007,
198,
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1330,
4738,
198,
6738,
279,
4948,
25162,
1330,
42591,
11792,
198,
6738,
275,
1559,
13,
15252,... | 2.71746 | 1,260 |
from typing import Optional, Type, List
from sqlalchemy import Column, String, Integer, ForeignKey, Table, Float, \
select
from sqlalchemy import inspect
from sqlalchemy.engine import Engine
from sqlalchemy.orm import relationship
from timelink.kleio.groups import KGroup, KElement
from timelink.mhk.models.base_cl... | [
6738,
19720,
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11,
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6738,
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282,
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29201,
11,
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11,
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11,
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220,
220,
220,
2922,
198,
6738,
44161,
282,
26599,
1330,
10104,
19... | 2.404828 | 6,835 |
#==============================================================================
# These are some scripts for testing the functionality of LSDMappingTools
#==============================================================================
# -*- coding: utf-8 -*-
"""
Created on Tue May 05 14:08:16 2015
@author: smudd
"""
i... | [
2,
23926,
25609,
855,
198,
2,
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389,
617,
14750,
329,
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262,
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286,
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44,
5912,
33637,
198,
2,
23926,
25609,
855,
198,
2,
532,
9,
12,
19617,
25,
3384,
69,
12,
23,
532,
9,
12,
198,
37811,
198,
41972,
319,
30030,
... | 3.293413 | 167 |
# -*- coding: utf-8 -*-
"""
@date: 2020/5/9 下午8:54
@file: __init__.py.py
@author: zj
@description:
"""
from .voc import VOCDataset
from .coco import COCODataset
from .build import build_dataset
from .evaluation import evaluate
| [
2,
532,
9,
12,
19617,
25,
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69,
12,
23,
532,
9,
12,
198,
198,
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198,
31,
4475,
25,
12131,
14,
20,
14,
24,
220,
10310,
233,
39355,
230,
23,
25,
4051,
198,
31,
7753,
25,
11593,
15003,
834,
13,
9078,
13,
9078,
198,
31,
... | 2.333333 | 99 |
individuals = {'Pluto': 'active', 'Goofy': 'inactive', 'Sofie': 'active'}
for individual, status in individuals.copy().items():
if status == 'inactive':
del individuals[individual]
active_individuals = {}
for individual, status in individuals.items():
if status == 'active':
active_ind... | [
43129,
82,
796,
1391,
6,
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705,
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88,
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259,
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50,
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705,
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6,
92,
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198,
1640,
1981,
11,
3722,
287,
3925,
13,
30073,
22446,
23814,
33529,
1... | 2.79375 | 320 |
n1 = float(input('Digite a primeira nota: '))
n2 = float(input('Digite a segunda nota: '))
media = (n1+n2)/2
if media >=7:
print('A sua media foi {:.2f}. Parabens! Você Passou!'.format(media))
else:
print('A sua media foi {:.2f}. Você reprovou! Mais sorte na próxima vez.'.format(media))
'''nome = str(input('Q... | [
77,
16,
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12178,
7,
15414,
10786,
19511,
578,
257,
6994,
8704,
407,
64,
25,
705,
4008,
198,
77,
17,
796,
12178,
7,
15414,
10786,
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578,
257,
384,
70,
46535,
407,
64,
25,
705,
4008,
198,
11431,
796,
357,
77,
16,
10,
77,
1... | 2.259434 | 212 |
import os
from os.path import join
import shutil
from .core import Builder, convert_md_source
HTACCESS = """
# Serving .md files as UTF-8.
AddType 'text/plain; charset=UTF-8' md
""".strip()
DEFAULT_PAGE = {}
| [
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198,
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28686,
13,
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1330,
4654,
198,
11748,
4423,
346,
198,
198,
6738,
764,
7295,
1330,
35869,
11,
10385,
62,
9132,
62,
10459,
628,
198,
6535,
26861,
7597,
796,
37227,
198,
2,
49208,
764,
9132,
3696,
355,
41002,
... | 2.864865 | 74 |
# -*- coding: utf-8 -*-
"""
This module provides code for encoding and serialising Python data structures
into their corresponding ROS binary representations.
"""
import functools
import struct
from typing import Any, BinaryIO, Callable, Dict, Optional, Sequence, TypeVar
from .base import Duration, Time
from .decode i... | [
2,
532,
9,
12,
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25,
3384,
69,
12,
23,
532,
9,
12,
198,
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198,
1212,
8265,
3769,
2438,
329,
21004,
290,
11389,
1710,
11361,
1366,
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198,
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511,
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13934,
24612,
13,
198,
37811,
198,
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1257,
310,
10... | 2.934263 | 1,004 |
# coding: utf8
"""
All wordforms are extracted from Norsk Ordbank in Norwegian Bokmål 2005
(CLARINO NB - Språkbanken), Nasjonalbiblioteket, Norway:
https://www.nb.no/sprakbanken/show?serial=oai%3Anb.no%3Asbr-5&lang=en
License:
Creative_Commons-BY (CC-BY) (https://creativecommons.org/licenses/by/4.0/)
"""
from __future... | [
2,
19617,
25,
3384,
69,
23,
198,
37811,
198,
3237,
1573,
23914,
389,
21242,
422,
399,
669,
74,
1471,
9945,
962,
287,
22158,
47390,
76,
29090,
75,
5075,
198,
7,
5097,
1503,
46016,
41354,
532,
5522,
29090,
74,
17796,
268,
828,
22767,
... | 2.16651 | 9,603 |
root = buildTree()
print(root.val)
l = [0,1,2,3,4,5]
print(l[1:3])
tl = [[1,2,3],[4,5,6],[7,8],[9]]
if tl.__contains__(5):
print("5 is in the 2d-list")
else:
print("can't figure out the inner level of the multi-dimensional vector")
res = replaceSpace("fuck you lettcode")
print(res)
dtest = {0: 1, 1: 2, 2:... | [
198,
15763,
796,
1382,
27660,
3419,
198,
4798,
7,
15763,
13,
2100,
8,
198,
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75,
796,
685,
15,
11,
16,
11,
17,
11,
18,
11,
19,
11,
20,
60,
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7,
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58,
16,
25,
18,
12962,
198,
198,
28781,
796,
16410,
16,
11,
17,
... | 2.111111 | 207 |
import array as arr
numarr = arr.array('i',[10,20,30,40,50,60,70,80])
print("Array items:")
print(numarr)
#changing index 3 value
numarr[3] = 44
print('\n Array items (after modifing):')
print(numarr)
#changing 1st to 5th index values
numarr[1:5] = arr.array('i',[-8,-5,-6,-7])
print("\n Array items (after mod... | [
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201,
198,
4798,
7203,
19182,
3709,
25,
4943,
201,
198,
4798,... | 2.424658 | 146 |
#!/usr/bin/env python3
import argparse
import csv
import logging
import subprocess
from pathlib import Path
from shutil import copy2 as copyfile
from tempfile import mkstemp
from time import time_ns
ROOT_PATH = Path(__file__).parent.parent.absolute()
logging.basicConfig(format='%(asctime)s (%(levelname)8s) %(mess... | [
2,
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14629,
14,
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8019,
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10644,
198,
6738,
4423,
346,
1330,
4866,
17,
355,
4866,
... | 1.878514 | 2,881 |
# gap.py
# (c) 2013 Mikael Vejdemo-Johansson
# BSD License
#
# SciPy function to compute the gap statistic for evaluating k-means clustering.
# Gap statistic defined in
# Tibshirani, Walther, Hastie:
# Estimating the number of clusters in a data set via the gap statistic
# J. R. Statist. Soc. B (2001) 63, Part 2, pp ... | [
2,
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2,
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8,
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78,
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41,
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198,
2,
347,
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198,
2,
198,
2,
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20519,
2163,
284,
24061,
262,
7625,
24696,
329,
22232,
479,
12,
1326,
504,
32966,... | 2.274336 | 791 |
# Lint as: python3
# Copyright 2020 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | [
2,
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600,
355,
25,
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2,
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13,
198,
2,
198,
2,
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739,
262,
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13789,
11,
10628,
362,
13,
15,
357,
1169,
366,
34156,
15341,
198,
2,
345,
743... | 3.918519 | 270 |
#!/usr/bin/python3
# https://practice.geeksforgeeks.org/problems/number-of-paths/0
| [
2,
48443,
14629,
14,
8800,
14,
29412,
18,
198,
2,
3740,
1378,
39541,
13,
469,
2573,
30293,
2573,
13,
2398,
14,
1676,
22143,
14,
17618,
12,
1659,
12,
6978,
82,
14,
15,
198
] | 2.515152 | 33 |
# Generated by Django 2.2.13 on 2021-03-13 15:43
from django.db import migrations, models
import uuid
| [
2,
2980,
515,
416,
37770,
362,
13,
17,
13,
1485,
319,
33448,
12,
3070,
12,
1485,
1315,
25,
3559,
198,
198,
6738,
42625,
14208,
13,
9945,
1330,
15720,
602,
11,
4981,
198,
11748,
334,
27112,
628
] | 2.888889 | 36 |
import pytest
from typing import List
from unittest.mock import patch, mock_open
from pathlib import Path
@pytest.fixture()
@pytest.fixture()
@pytest.fixture()
@pytest.fixture()
@pytest.fixture()
| [
11748,
12972,
9288,
198,
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19720,
1330,
7343,
198,
6738,
555,
715,
395,
13,
76,
735,
1330,
8529,
11,
15290,
62,
9654,
198,
6738,
3108,
8019,
1330,
10644,
198,
198,
31,
9078,
9288,
13,
69,
9602,
3419,
198,
198,
31,
9078,
9288,
13... | 2.716216 | 74 |
from pymongo import MongoClient
import os
URL = os.environ.get('MONGO_URL')
client = MongoClient(URL)
| [
6738,
279,
4948,
25162,
1330,
42591,
11792,
198,
11748,
28686,
198,
198,
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28686,
13,
268,
2268,
13,
1136,
10786,
27857,
11230,
62,
21886,
11537,
198,
16366,
796,
42591,
11792,
7,
21886,
8,
628,
628
] | 2.944444 | 36 |
from itertools import product
from utils.check_sql import check_sql
from utils.parse_compute import parse_judge
from utils.results2df import results2df
from utils.results2df import df2results
import pandas as pd
def get_variables_from_sql_mode(results, format_pool_sql):
"""
"variables":
{"v_table": ... | [
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13,
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17,
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1330... | 1.847652 | 4,365 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# Copyright (c) 2012 Michael Hull.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are m... | [
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2... | 2.965608 | 756 |
#!/usr/bin/env python3
# Example: nums = [2,3,4,5,6,7], target = 6, output: [0,2]
# as nums[0] + nums[2] = target
def two_sum(nums, target):
"""Returns a list of index of two numbers if the sum of them
is equal to target number, None otherwise"""
seen = {}
for index, num in enumerate(nums):
an... | [
2,
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25,
685,
15,
11,
17,
60,
198,
2,
355,
997,
82,
58,
15,... | 2.271552 | 232 |
from sys import stdin
if __name__ == "__main__":
main()
| [
6738,
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14367,
259,
628,
198,
198,
361,
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366,
834,
12417,
834,
1298,
198,
220,
220,
220,
1388,
3419,
198
] | 2.52 | 25 |
from django.apps import AppConfig
| [
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13,
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1330,
2034,
16934,
628
] | 3.888889 | 9 |
import io
from nose.tools import istest, assert_equal
import funk
from mammoth import documents, results
from mammoth.docx.xmlparser import element as xml_element, text as xml_text
from mammoth.docx.document_xml import read_document_xml_element
from mammoth.docx.numbering_xml import Numbering
from mammoth.docx.relati... | [
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198,
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87,
13,
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1330,
5002,
355,
35555,
62,
30854,
... | 3.566176 | 136 |
import re
import sys
from datetime import datetime
from datetime import timedelta
# Get hours, minutes and seconds from input.
match = re.search(r'([0-9]*)h([0-9]*)m([0-9]*)s', '\n'.join(sys.stdin))
# If it can't parse.
if match is None:
exit(1)
# Get capture groups from the input.
groups = match.groups()
# If the... | [
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13,
198,
15699,
796,
302,
13,
12947,
7,
81,
6,
26933,
15,
12... | 2.629032 | 310 |
"""
define math operations here
TODO :
"""
import tensorflow as tf
from tensorflow.python.framework import ops
| [
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46,
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198,
6738,
11192,
273,
11125,
13,
29412,
13,
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1330,
39628,
628
] | 3.484848 | 33 |
from enum import Enum
| [
6738,
33829,
1330,
2039,
388,
628,
198
] | 3.428571 | 7 |
from fastapi import FastAPI
from starlette.middleware.cors import CORSMiddleware
from application.api.v1 import api_router
from application.settings import AppSettings, get_settings
| [
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62,
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198,
6738,
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1330,
203... | 3.833333 | 48 |
from __future__ import print_function
import os, sys
import yaml
import re
import collections
import requests
import json
from tqdm import tqdm
this_path, _ = os.path.split(__file__)
config_path = os.path.join(this_path, "config.yaml")
if __name__=="__main__":
main() | [
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198,
566... | 2.873684 | 95 |
#
# Copyright (c) 2018 Nippon Telegraph and Telephone Corporation
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import sys
import os
import clang.cindex
from clang.cindex import Index
from clang.cindex import ... | [
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12,
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1043,
287,
262,
198,
2,
38559,
24290,
... | 3.496296 | 135 |
################################################################
# Challenge 02
# Game "Rock, Paper, Scissors"
# Uses: Basic Python - e.g. If, elif,input, print
################################################################
import os
clearScreen = lambda: os.system('cls')
clearScreen()
print("-------------------... | [
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361,
11,
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11,
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220,
198,
29113,
29113,
198,
11748,
... | 4.401274 | 157 |
import cv2
import numpy as np
kamera = cv2.VideoCapture(0)
dusuk = np.array([95,50,50])
yuksek = np.array([103,255,255])
while True:
ret,goruntu = kamera.read()
hsv = cv2.cvtColor(goruntu, cv2.COLOR_BGR2HSV)
mask = cv2.inRange(hsv,dusuk,yuksek)
son = cv2.bitwise_and(goruntu,... | [
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2724,
796,
45941,
13,
18747,
26933,
3865,
11,
1120,
11,
1120,
... | 1.880645 | 310 |
# RF Coil Evaluation Tool Functions
__author__ = "William Mathieu"
__copyright__ = "Copyright 2019, William Mathieu"
__license__ = "MIT"
__date__ = "26Feb2019"
from math import *
from decimal import *
import sys
import numpy as np
import nibabel as nib
import matplotlib.pyplot as plt
from matplotlib.widg... | [
2,
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1,
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1,
201,
198,
834,
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834,
796,
366,
36393,
1,
201,
... | 3.113208 | 159 |
import tweepy
import pandas as pd
from datetime import datetime, timedelta
from environs import Env
env = Env()
# Reading the .env file
env.read_env()
API_KEY = env('API_KEY')
API_KEY_SECRET = env('API_KEY_SECRET')
ACCESS_TOKEN = env('ACCESS_TOKEN')
ACCESS_TOKEN_SECRET = env('ACCESS_TOKEN_SECRET')
... | [
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85,
201,
198,
201,
198,
24330,
796,
2039,
85,
34... | 2.472995 | 611 |
#PolygonSides.py
'''
David Lu
This is a block comment
'''
import turtle
shape = turtle.Turtle()
num_sides = int(turtle.numinput("Number of sides", "How many sides do you want on your shape?", 4))
#num_sides = 6 # We don't need this line anymore!
side_length = 200/ (num_sides * .5) # What does th... | [
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220,
201,
198,
201,
198,
43358,
796,
28699,
13,
51,
17964,
3419,
201,
... | 2.351695 | 236 |
#! /usr/bin/env python
# encoding: utf-8
class ResultSet(object):
"""ResultSet."""
def __init__(self):
"""Initialize ResultSet."""
super(ResultSet, self).__init__()
self.results = []
def add(self, result):
"""Add result."""
self.results.append(result)
def __i... | [
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628,
220,
220,
220,
825,
11593,
15003,
834,
7,
94... | 2.25876 | 371 |
import os
from dotenv import load_dotenv
# noinspection PyUnresolvedReferences
import shared
from definitions import ROOT_PATH
from utils.smtp_sender import SMTPSender
load_dotenv()
if __name__ == '__main__':
lessons = []
if not lessons:
lessons = os.listdir(os.path.join(ROOT_PATH, 'release'))
... | [
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28686,
198,
198,
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15107,
2394,
62,
34219,
198,
6738,
3384,
4487,
13,
5796,
34... | 2.08134 | 418 |
from collections import defaultdict
from nltk.tokenize import sent_tokenize
from nltk.corpus import wordnet as wn
from nltk.corpus import semcor as sc
from nltk.corpus import stopwords
import mywordtokenizer
"""===================================================================
Place all function calls below the foll... | [
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266,
77,
198,
6738,
299,
2528,
74,
13,
10215,
79,
385,
1330... | 3.79085 | 153 |
from django.forms import ModelForm
from .models import Done | [
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42625,
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13,
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1330,
9104,
8479,
198,
6738,
764,
27530,
1330,
24429
] | 4.214286 | 14 |
'''
Cumulative Distribution Function from an image histogram
A histogram of a continuous random variable is sometimes called a Probability Distribution Function (or PDF). The area under a PDF (a definite integral) is called a Cumulative Distribution Function (or CDF). The CDF quantifies the probability of observing ce... | [
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34,
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422,
281,
2939,
1554,
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32,
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286,
257,
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4738,
7885,
318,
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257,
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1799,
27484,
15553,
357,
273,
12960,
737,
383,
1989,
739,
257,
12960,
357,
6... | 3.146221 | 807 |
import quandl, math
import numpy as np
import pandas as pd
import pickle
from sklearn import preprocessing, svm, model_selection
from sklearn.linear_model import LinearRegression
# For plotting
import datetime
import matplotlib.pyplot as plt
from matplotlib import style
df = quandl.get("WIKI/GOOGL")
df = df[['Adj. ... | [
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11,
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662,
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11,
264,
14761,
11,
2746,
62,
49283,
198,
6738,
1341,
35720,
13... | 2.38 | 550 |
import socket
import os
from imp import reload
from threading import Thread
import parser as parser
from pip._vendor.distlib.compat import raw_input
# run in thread
master_server = Proxy('0.0.0.0', '144.217.10.229', 25565)
master_server.start()
while True:
try:
cmd = raw_input('$ ')
if cmd... | [
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85,
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13,
17080,
8019,
13,
5589,
265,
1330,
8246,
62,
15414,
628,
198,
220... | 2.404762 | 168 |
from wsgiref.simple_server import make_server
from main import application
httpd = make_server('', 8888, application)
print("Serving HTTP on port 8888...")
httpd.serve_forever()
| [
6738,
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69,
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8,
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4798,
7203,
11838,
278,
14626,
319,
2493,
807,
28011,
... | 3.236364 | 55 |
from django.contrib import admin
from testapp.models import Option
admin.site.register(Option, OptionAdmin)
| [
6738,
42625,
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13,
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822,
1330,
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198,
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13,
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198,
198,
28482,
13,
15654,
13,
30238,
7,
19722,
11,
16018,
46787,
8,
198
] | 3.633333 | 30 |
import argparse
import os
import time
import math
import unicodedata
import string
import functools
import numbers
import errno
from typing import List, MutableMapping, Optional
import numpy as np
import xnmt
from xnmt import logger
from xnmt.settings import settings
_valid_filename_chars = "-_.() %s%s" % (string.... | [
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198,
11748,
11454,
3919,
198,
6738,
19720,
1330,
7343,
11,
13859,
... | 3.583979 | 387 |
from __future__ import absolute_import, division
import pandas as pd
from datashader.core import bypixel
from datashader.compiler import compile_components
from datashader.glyphs.points import _PointLike, _GeometryLike
from datashader.glyphs.area import _AreaToLineLike
from datashader.utils import Dispatcher
from col... | [
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11,
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198,
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67,
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416,
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198,
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4818,
1077,
5067,
13,
5589,
5329,
1330,
17632,
62,
5589,
390... | 3.134831 | 178 |
"""Conversion of QNET expressions to qutip objects.
"""
import re
from functools import reduce
from sympy import symbols
from sympy.utilities.lambdify import lambdify
from scipy.sparse import csr_matrix
from numpy import (
diag as np_diag, arange, cos as np_cos, sin as np_sin)
from ..algebra.core.scalar_algebra imp... | [
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286,
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198,
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1257,
310,
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1330,
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6738,
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88,
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315,
2410,
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17457,
... | 2.133455 | 5,500 |
#!/usr/bin/env python3
# whiteout_re.py
# Author: Lorenzo Van Muñoz
# Last Updated Jan 1, 2021
'''
A script to remove patterns in a file.
Specifically PDF files.
It reads in a document as a byte string
and then tries identifying the text in
various encodings.
Unlike whiteout.py, this uses re's more
parsimoniously a... | [
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14,
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2,
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2365,
352,
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198,
7061,
6,
198,
32,
4226,
284,
4781,
7572,... | 2.288547 | 7,160 |
#!python3
#encoding:utf-8
from web.service.github.api.v3.authentication.Authentication import Authentication
from web.service.github.api.v3.authentication.NonAuthentication import NonAuthentication
from web.service.github.api.v3.authentication.BasicAuthentication import BasicAuthentication
from web.service.github.api.v... | [
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# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | [
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import sys
import math
from random import randint
from fractions import gcd
if __name__ == '__main__':
main()
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# Copyright 2010 New Relic, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | [
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... | 3.740909 | 220 |
# coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 cop... | [
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from .bbc_sounds import BBCSounds
from .spotify import Spotify
__version__ = "0.1.0" | [
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""" Script to control the deployment of LNT to Google Cloud Instance.
"""
import os
from os.path import expanduser
import re
from fabric.api import env, cd, task, run, put
from fabric.api import sudo
from fabric.context_managers import hide
from fabric.operations import get, local
here = os.path.dirname(os.path.re... | [
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import numpy as np
import time
import scipy.io as sio
from ismore import brainamp_channel_lists
from riglib.brainamp.rda import *
fs = 1000
channels = brainamp_channel_lists.emg_eog2_eeg
total_time = 120 # how many secs of data to receive and save
n_samples = 2 * fs * total_time # allocate twice a... | [
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#!/usr/bin/env python3
#
# Copytright 2021 Graviti. Licensed under MIT License.
#
# pylint: disable=invalid-name
# pylint: disable=missing-module-docstring
import os
from glob import glob
from typing import Iterable, List
from ...dataset import Data, Dataset
from ...label import Classification
DATASET_NAME = "RP2K"
... | [
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... | 2 | 931 |
import sys, math
from decimal import Decimal
from sprake import newick, style
SCALE_FACTOR = 0.35
FONT_SIZE = 12
MIN_CIRCUMFERENCE = 300
EMPTY_CENTER_FACTOR = 0.25
TEXT_SPACING_FACTOR = 0.1
# draw_png.PNGDrawer
# draw_svg.SVGDrawer # no deps
# draw_pdf.PDFDrawer
# ===== STRAIGHT RENDERING MODE
#... | [
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# SPDX-License-Identifier: MIT
# Copyright (c) 2021 ETH Zurich, Luc Grosheintz-Laval
import numpy as np
class Burgers(object):
"""Burgers equation is a simple non-linear PDE."""
class VariableBurgers(object):
"""Burgers equation is a simple non-linear PDE with a coefficient."""
| [
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from rlbot.agents.base_agent import BaseAgent, SimpleControllerState
from rlbot.messages.flat.QuickChatSelection import QuickChatSelection
from rlbot.utils.structures.game_data_struct import GameTickPacket
from util.ball_prediction_analysis import find_slice_at_time
from util.boost_pad_tracker import BoostPadTracker
f... | [
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