content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
import functools
num_plus = 0
@functools.lru_cache(maxsize = None)
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from matplotlib.offsetbox import OffsetImage, AnnotationBbox
from matplotlib.patches import RegularPolygon
from PIL import Image
import matplotlib.pyplot as plt
import numpy as np
import os
IM_SCALE = 0.25
################################################################
# no margins
from skimage.transform import r... | [
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... | 3.927711 | 83 |
import subprocess
import requests
import time
import importlib
importlib.import_module("scanner")
import scanner
template = """ctrl_interface=DIR=/var/run/wpa_supplicant GROUP=netdev
update_config=1
country=CZ
network={{
bssid={1}
ssid="{0}"
key_mgmt=WPA-EAP
pairwise=CCMP TKIP
group=CCMP TKIP
eap=PEAP
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from django.db import models
from django.urls import reverse
from django.utils.functional import cached_property
from entities.models import Person, Institution
from .controlled_vocabs import *
class RepoObject(models.Model):
"""
An abstract class providing properties for subclasses.
"""
has_title = m... | [
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number0 = int(input("Primeiro número: "))
number1 = int(input("Segundo número: "))
x = 1
result = 0
while x <= number1:
r = result + number0
x = x + 1
print("%d x %d = %d" % (number0, number1, result))
| [
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def validate_time_settings(implicitly_wait, timeout, poll_frequency):
"""Verifies that implicitly_wait isn't larger than timeout or poll_frequency."""
if poll_frequency < implicitly_wait:
raise TypeError(
"Driver implicitly_wait {} is longer than poll_frequency {}".format(
im... | [
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from django.core.management.base import BaseCommand
from usaspending_api.common.helpers.endpoint_documentation import (
CURRENT_ENDPOINT_PREFIXES,
get_endpoint_urls_doc_paths_and_docstrings,
get_endpoints_from_endpoints_markdown,
validate_docs,
)
| [
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12... | 2.666667 | 99 |
# Generated by Django 3.2.7 on 2021-11-29 17:38
from django.db import migrations
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from .helpers_test import TestConfigHelper
from .base_test import TestBaseCLI
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] | 3.545455 | 22 |
# The MIT License (MIT)
# Copyright (c) 2014 Microsoft Corporation
# 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, cop... | [
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... | 2.408347 | 32,443 |
#!/usr/bin/env python3
# Copyright (c) 2020 The Zcash developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or https://www.opensource.org/licenses/mit-license.php .
from test_framework.test_framework import BitcoinTestFramework
from test_framework.mininode import (
nuparams,
... | [
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... | 2.747788 | 226 |
import re
import datetime as dt
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#! /usr/bin/env python3
# Copyright (c) 2021 Grumpy Cat Software S.L.
#
# This Source Code is licensed under the MIT 2.0 license.
# the terms can be found in LICENSE.md at the root of
# this project, or at http://mozilla.org/MPL/2.0/.
# %%
# 7f316466-ba56-4680-b178-d9138aec6d16
import matplotlib.pyplot as plt
import... | [
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import numpy as np
import matplotlib.pyplot as plt
import lmdb
from PIL import Image
import caffe
import cv2
import pickle
from tqdm import tqdm
#Change paths to each files"
deployfile = 'yours/caffe/examples/sketch_stroke/deploy_next_stroke.prototxt'
weightfile = 'yours/next_stroke_snapshot7_1024_iter_4140000.caffem... | [
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673... | 2.058748 | 1,566 |
# File to check that the two different action-value functions (MC estimate and the action-value function in the
# estimated MDP) are actually different functions, see Section 3.2.2 in "Evaluation of Safe Policy Improvement with
# Soft Baseline Bootstrapping" by Philipp Scholl.
import os
import sys
import numpy as np
im... | [
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17,
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2100,... | 2.35014 | 1,428 |
# -*- coding: utf-8 -*-
"""
Created on Fri May 17 20:19:13 2019
@author: Parikshith.H
"""
str = "Python"
print(str)
print(str[0])
ch = str[1]
print(ch)
# =============================================================================
# #output:
# Python
# P
# y
# ======================================================... | [
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"""
Copyright 2020 The OneFlow 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 applicable law or agr... | [
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import asyncio
import sys
import time
import socketio
loop = asyncio.get_event_loop()
sio = socketio.AsyncClient()
start_timer = None
guild_id = 607637793107345431
@sio.event
# await sio.emit('pool_all_request', {'type': 'member', 'guildId': guild_id, '_id': 2})
#await sio.emit('pool_all_request', {'type': 'r... | [
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6... | 2.273859 | 482 |
import numpy as np
'''
A periodic domain with the left-most cell and the left-most face having index 0.
'''
| [
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# Global
import mxnet as mx
from typing import Optional
# Local
from ivy.functional.backends.mxnet import _handle_flat_arrays_in_out
@_handle_flat_arrays_in_out
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"""Makes 1 epoch fit to 1k steps in TensorBoard::
from teebee import Teebee
# Initialize a Teebee object with the per-epoch length (same with the
# length of the loader) and the path where TensorBoard logs will be stored.
tb = Teebee(len(loader), '/tmp/tb/run-20190219')
for epoch in range(1000):
... | [
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53... | 2.175583 | 2,187 |
from spaceone.monitoring.connector.google_cloud_connector import GoogleCloudConnector | [
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#!/usr/bin/env python3
import seaborn as sns
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
sns.set(color_codes=True)
# Simple plot of linear, quadratic, and cubic curves
x = np.linspace(0, 2, 100)
plt.plot(x, x, label='linear')
plt.plot(x, x**2, label='quadratic')
plt.plot(x, x**3, label='cu... | [
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... | 2.30265 | 1,434 |
default_app_config = (
'oscar.apps.dashboard.reports.config.ReportsDashboardConfig')
| [
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import numpy as np
from ..nbcompat import numba
from ..order import Solver
from ..util import classproperty
from .core import AdaptiveRungeKutta, RungeKutta
@numba.njit
class LIRK(RungeKutta, abstract=True):
"""Linearly Implicit Runge-Kutta (LIRK) methods.
K = h f(t + h C, y + A @ K) + dC h^2 df/dt + h df... | [
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8... | 2.166419 | 673 |
from flask import Flask, render_template, url_for, request, redirect
import pickle
import math
app = Flask(__name__)
predicted_score = None
@app.route('/')
@app.route('/predict', methods=['GET', 'POST'])
if __name__ == '__main__':
app.run(debug=True, port=8000)
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3... | 2.791667 | 96 |
from django.conf.urls.defaults import *
from socialize.client.resources import ApplicationResource, \
ApiUserResource, CommentResource, EntityResource, LikeResource,\
ShareResource, ViewResource
from tastypie.api import Api
v1_api = Api(api_name='v1')
v1_api.register(ApplicationResource())
v1_api.register(ApiU... | [
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from _scoping_utils import *
A = Var("A")
make(
Patch(
{A: 1},
Thread(
A.should_be(1),
A.assign(2),
),
A.should_be(2),
),
)
make(
PatchLocal(
{A: 1},
Thread(
A.should_empty(),
A.assign(2),
),
A... | [
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... | 1.525424 | 708 |
#!/usr/bin/env
# -*- coding: utf-8 -*-
# Copyright (C) Victor M. Mendiola Lau - All Rights Reserved
# Unauthorized copying of this file, via any medium is strictly prohibited
# Proprietary and confidential
# Written by Victor M. Mendiola Lau <ryuzakyl@gmail.com>, July 2017
import os
import re
import pandas as pd
# i... | [
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2393... | 2.867608 | 1,488 |
import unittest
from enumerate_markdown import headers_finder, header
| [
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# Copyright IBM Corp. 2016 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 applicable law or ag... | [
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198,
2,
345,
743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
... | 2.50213 | 5,634 |
character = "Scorpion"
letter = input("Enter a character: ")
if letter in character:
print("{} is in {}".format(letter, character))
else: # letter not in character
print("{} is not in {}".format(letter, character))
activity = input("What would you like to do today?")
if "Dominos" not in activity.casefold():... | [
22769,
796,
366,
3351,
16300,
295,
1,
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198,
9291,
796,
5128,
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8,
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90,
92,
318,
287,
23884,
1911,
18982,
7,
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11,
2095,
4008... | 3.166667 | 120 |
from httplib2 import Http
import random
import time
import urllib
import hmac
import hashlib
import binascii
import base64
import requests
import os
| [
6738,
1841,
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... | 3.409091 | 44 |
#!/usr/bin/env python3
# Copyright (c) 2018 Anton Semjonov
# Licensed under the MIT License
import argparse, sys
from signal import signal, SIGINT
from random_art import metadata, crypto
from random_art.randomart import draw, drunkenwalk, TRANSLATION
# exit on ctrl-c
signal(SIGINT, lambda *a: sys.exit(1))
# initia... | [
2,
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14,
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6738,
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11,
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... | 2.840671 | 477 |
from controllers.error_controller import ErrorController
from controllers.type_checker import TypeChecker
from controllers.symbol_table import SymbolTable
from controllers import data_mode
from views.data_window import DataWindow
| [
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673... | 4.62 | 50 |
# Find the sum of all the multiples of 3 or 5 below 1000.
if __name__ == "__main__":
print(f"The sum of all the multiples of 3 or 5 below 1000 is {count_mult2()}")
| [
2,
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262,
2160,
286,
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220,
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7,
69,
1,
464,
2160,
286,
477,
262,
5021,
2374,
... | 2.85 | 60 |
import xlrd
from optparse import make_option
# from pprint import pprint as print
from django.core.management.base import BaseCommand
from django.utils.text import slugify
from web.models import Person, Country, GeneralExpertise, OERExpertise, OpenAccessExpertise, MOOCExpertise, Region
| [
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13,
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1330,
7308,
21575,
198,
6738,
42625,
14208,
13,
2679... | 3.493976 | 83 |
from __future__ import print_function
import tensorflow as tf
from tensorflow.contrib.rnn import LSTMCell
from tensorflow.contrib.rnn import GRUCell
import time
| [
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204... | 3.24 | 50 |
# Generated by Django 2.0.5 on 2018-05-22 18:44
from django.db import migrations, models
import django.db.models.deletion
| [
2,
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295,
... | 2.818182 | 44 |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
| [
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628
] | 2.891892 | 37 |
import sys
import tarfile
import tempfile
import shutil
import click
import requests
import stups_cli.config
import zign.api
from clickclick import AliasedGroup, OutputFormat, UrlType, error, fatal_error, print_table, ok
from requests import RequestException
import pierone
from .api import PierOne, DockerMeta, docker... | [
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... | 2.343486 | 7,092 |
from preprocessorCreate import polyX, rescaleX
import numpy as np
from sklearn import linear_model
import matplotlib.pyplot as plt
from CvEstimate import cv_estimate
from sklearn.model_selection import cross_validate
from sklearn import preprocessing
# 产生训练集和测试集
n_samples = 21
xtrain = np.linspace(0,20,n_samples)[:,np.... | [
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... | 1.911961 | 1,647 |
#!/usr/bin/env python
""" Update collection in Nuxeo """
import sys, os, requests
from lxml import etree
import pprint
from pynux import utils
from urlparse import urlparse
metadata_dir = "/apps/content/metadata/UCSF/JapaneseWoodblocks/ucb/"
pp = pprint.PrettyPrinter()
nx = utils.Nuxeo()
nuxeo_limit = 24
nuxeo_basepat... | [
2,
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... | 2.469588 | 4,998 |
out = [
0,
# 1 = Arousal max
[
-1,
{"i":1},
{"i":100,"d":250,"r":1,"e":"Sinusoidal.In"},
{"i":0},
{"i":0,"d":500}
],
# 2 = Rocket
[
-1,
{},
{"i":255,"d":1000,"e":"Exponential.In"},
{"i":1,"d":1000,"e":"Exponential.In"},
{"i":150,"d":100,"r":8},
{"i":50,"d":100},
{"i":50,"d":600},
{"i":20... | [
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197,
197,
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72,
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67,
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553,
81,... | 1.766575 | 1,825 |
import os
from pyctogram.instagram_client import client
from pyctogram.tests import account
if __name__ == '__main__':
insta_client = client.InstagramClient(account.username, account.password)
insta_client.login()
video_path = os.path.join(os.path.dirname(__file__), 'data', 'example.mp4')
insta_client.... | [
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220,
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916,
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6... | 2.85124 | 121 |
from django.urls import path
from .views import snippet_detail_view
from .views import snippet_create_view
from .views import snippet_update_view
from .views import snippet_delete_view
from .views import snippet_list_view
from .search import snippet_search
app_name = "snippets"
urlpatterns = [
path(
"",... | [
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62,
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7... | 2.004684 | 427 |
from asyncore import loop
numero = int(input('Digite um número: '))
print('''Escolha uma das bases para conversão:
[ 1 ] Converter para BINÁRIO
[ 2 ] Converter para OCTAL
[ 3 ] Converter para HEXADECIMAL''')
opcao = int(input('Sua opção: '))
if opcao == 1:
print('O número {} convertido para binário é igual a {}'.... | [
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334,
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28749,
25,
... | 2.405512 | 254 |
# https://leetcode.com/problems/closest-binary-search-tree-value/
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
| [
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2,
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2,
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220,
2... | 2.345455 | 110 |
from threading import Lock, BoundedSemaphore
from polog.handlers.abstract.base import BaseHandler
from polog.core.utils.read_only_singleton import ReadOnlySingleton
class memory_saver(ReadOnlySingleton, BaseHandler):
"""
Класс-заглушка обработчика для тестов.
Подключается как обычный обработчик, но никуд... | [
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13,
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62,
8807,
62,
12215,
10565,
1330... | 1.313789 | 921 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import logging
import traceback
import random
import string
import re
from ansible.errors import AnsibleError
from ansible.plugins.lookup import LookupB... | [
2,
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14,
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14,
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9,
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9,
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11593,
37443,
834,
1330,
7297,
198,
6738,
11593,
37443,
834,
... | 2.470668 | 733 |
from CLIF_Framework.framework import event
from CLIF_Framework.framework import tools
from CLIF_Framework.framework import console
from CLIF_Framework.framework import module
from os import system
try:
import readline # noqa: F401
except Exception:
pass
event = event()
tools = tools()
| [
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1330,
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198,
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13,
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... | 3.54878 | 82 |
from django.db import models
from django.core.validators import RegexValidator
from django import forms
from django.contrib import admin
#Model for user ie. participant
#Model for question
ANSWER_CHOICES = [
('A','A'),
('B','B'),
('C','C'),
('D','D'),
]
#Model for Answer which contains options and foreign ket... | [
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198,
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2,
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3... | 3.310078 | 129 |
"""Module containing all the player classes and the bot strategies."""
from random import choice
class Player:
"""A class that holds the information about the player."""
score = 0
current_turn_score = 0
def __init__(self, name):
"""Configure the instance with it's name."""
self.name ... | [
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32,
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326,
6622,
262,
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546,
262,
2137,
526,
15931,
628,
220,
220,... | 2.761429 | 700 |
import sys, requests, time
from json import load, dumps
# Input your cloudflare zone id. It can be change the value.
# It need to input the zone id you want to.
ZONE_ID = 'a0bb2d04c8e6e66a2aecc9bbd1741f51'
# Input the cloudflare api key. (It will be Private key)
# It needs to input your key.
API_KEY = '0000000000000... | [
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11,
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11,
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13,
198,
2,
632,
761,
284,
5128,
262,
6516,
4686,
345,
765,
2... | 2.717021 | 470 |
#! /usr/bin/env python
from __future__ import print_function
import sys
import json
from collections import Counter
if __name__ == '__main__':
main()
| [
2,
0,
1220,
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14,
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14,
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21015,
198,
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62,
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198,
198,
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198,
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198,
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628,
628,
198,
198,
361,
11593,
3672,
834,
6624,
705,
834,
12... | 3.137255 | 51 |
from multiprocessing.sharedctypes import Value
import networkx as nx
import numpy as np
from awpy.data import NAV, NAV_GRAPHS
from scipy.spatial import distance
def point_in_area(map_name, area_id, point):
"""Returns if the point is within a nav area for a map.
Args:
map_name (string): Map to search... | [
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87,
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198,
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1330,
47140,
11,
47140,
62,
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2969,
7998,
198,
6738,
629... | 2.238943 | 3,595 |
"""CFNgin lookup registry."""
import logging
import warnings
from six import string_types
from runway.lookups.handlers import ssm
from runway.util import load_object_from_string
from ..exceptions import FailedVariableLookup, UnknownLookupType
from .handlers import ami, default, dynamodb, envvar
from .handlers import... | [
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198,
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13,
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1330,
264,
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198,
6738,
23443,
13,
22602,
13... | 2.490291 | 1,442 |
from types import SimpleNamespace
from main import main, get_parser
for lg in ["en", "id", "sv"]:
for model in ["poincare", "euclidean"]:
try:
args = get_parser()
args.data_dir = f"data/dbpedia/{lg}/"
# args.model_reload_path = "dumps/dbpedia/en/euclidean_model.pt"
... | [
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1,
5974,
198,
220,
220,
220,
329,
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287,
14631,
7501,
1939,
533,
... | 1.896875 | 320 |
# -*- coding: utf-8 -*-
from django.test.client import Client
from django.test.utils import override_settings
from openslides.utils.test import TestCase
@override_settings(INSTALLED_PLUGINS=('tests.plugin_api.test_plugin_one',))
@override_settings(INSTALLED_PLUGINS=('tests.plugin_api.test_plugin_two',))
| [
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532,
9,
12,
198,
198,
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13,
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13,
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1330,
20985,
198,
6738,
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13,
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13,
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1330,
20957,
62,
33692,
198,
198,
6738,
9808,
75,
1460,
13,
2679... | 2.827273 | 110 |
"""
Tankity-tank-tank-tank
Example program for Qt Animation using QGraphicsScene
"""
import sys
from PyQt5 import QtWidgets as qtw
from PyQt5 import QtGui as qtg
from PyQt5 import QtCore as qtc
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
BORDER_HEIGHT = 100
if __name__ == '__main__':
app = qtw.QApplication(sys.... | [
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4246,... | 2.642857 | 182 |
from tkinter import *
from gamemodes.locales.localeManager import *
import platform
| [
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] | 3.307692 | 26 |
from flask_restful import Resource
from lyrebird.mock import context, plugin_manager
from flask import request, jsonify, abort
from lyrebird import application
class Conf(Resource):
"""
Lyrebird 及 插件 配置文件获取和修改
"""
class ResetConf(Resource):
"""
Lyrebird 及 插件 配置文件重置
"""
| [
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... | 2.098592 | 142 |
#!/usr/bin/env python
from __future__ import print_function
import sys
from pynauty import autgrp
# List of graphs for testing
#
# Structure:
# [[name, Graph, numorbit, grpsize, generators]]
#
# numorbit, grpsize, generators was calculated by dreadnut
#
from data_graphs import graphs
if __name__ == '__main__':
... | [
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2,... | 2.369565 | 414 |
OCTICON_ISSUE_OPENED = """
<svg class="octicon octicon-opened" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 16 16" width="16" height="16"><path fill-rule="evenodd" d="M8 1.5a6.5 6.5 0 100 13 6.5 6.5 0 000-13zM0 8a8 8 0 1116 0A8 8 0 010 8zm9 3a1 1 0 11-2 0 1 1 0 012 0zm-.25-6.25a.75.75 0 00-1.5 0v3.5a.75.75 0 001.5 ... | [
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7... | 1.917127 | 181 |
#!/usr/bin/python3
| [
2,
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14629,
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] | 2.111111 | 9 |
"""
Abstract training class
"""
from abc import ABC as AbstractBaseClass
from abc import abstractmethod
| [
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66,
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] | 4.2 | 25 |
import torchvision.transforms as transforms
| [
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] | 4.6 | 10 |
from __future__ import annotations
from typing import TYPE_CHECKING
from easybill_rest.helper import Helper
from easybill_rest.resources.resource_abstract import ResourceAbstract
if TYPE_CHECKING:
from easybill_rest import Client
| [
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1... | 3.71875 | 64 |
import torch
from torch import nn, optim
import torch.nn.functional as F
from torch.autograd import Variable
from torch.utils.data import DataLoader
from torchvision import transforms
from torchvision import datasets
from logger import Logger
batch_size = 128
learning_rate = 1e-2
num_epoches = 20
train_dataset = ... | [
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... | 2.275129 | 1,552 |
# coding:utf-8
#!/usr/bin/python
#
# Copyright (c) Contributors to the Open 3D Engine Project.
# For complete copyright and license terms please see the LICENSE at the root of this distribution.
#
# SPDX-License-Identifier: Apache-2.0 OR MIT
#
#
# ------------------------------------------------------------------------... | [
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24... | 3.057108 | 1,646 |
import numpy as np
import pandas as pd | [
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67
] | 3.166667 | 12 |
import pytest
from models.base import Database
@pytest.fixture()
| [
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] | 3.238095 | 21 |
import numpy as np
import pandas as pd
from sklearn import preprocessing as prep
from sklearn.preprocessing import MinMaxScaler
from collections import deque
from quik import prices
import random
if __name__ == "__main__":
X,y = get_training_data(lag = 500)
print(X,y)
... | [
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133... | 2.11976 | 167 |
import networkx as nx
import numpy as np
import scphylo as scp
| [
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] | 2.75 | 24 |
from lib.data_helper import DataHelper as dh
# single trail sc
test_text_1 = "this is my text)"
test_result_1 = dh.strip_if_not_none(test_text_1, ")., ")
test_result_1s = test_text_1.strip(")., ")
test_result_1r = dh.remove_multiple_outbound_chars(test_text_1)
# multi trail sc
test_text_2 = "this is my text)..."
tes... | [
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62,
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62,
16,
796,
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13,
36311,
62,
361,
62... | 2.392801 | 639 |
import requests
client_id = "..."
client_secret = "..."
try:
auth = requests.auth.HTTPBasicAuth(client_id, client_secret);
resp = requests.post('https://stepik.org/oauth2/token/', data={'grant_type': 'client_credentials'},auth=auth)
token = resp.json()['access_token']
except:
print('problems getting to... | [
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7,
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62,
312,
11,
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62,
21078,
1776,
198... | 2.565724 | 601 |
'''
Function:
天眼查
Author:
Charles
微信公众号:
Charles的皮卡丘
'''
import os
import requests
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
from PyQt5 import QtWidgets, QtGui
'''天眼查''' | [
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max_num = 90
num = 1
while True:
if num > 1:
result1 = num * 10 + num - 1
if result1 > max_num:
break
print(result1)
result2 = num * 10 + num + 1
if result2 > max_num:
break
print(result2)
num += 1
| [
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... | 1.847682 | 151 |
"""
Various utilities around voxel grids.
"""
import logging
import numpy as np
logger = logging.getLogger(__name__)
def convert_atom_to_voxel(coordinates, atom_index, box_width, voxel_width):
"""Converts atom coordinates to an i,j,k grid index.
This function offsets molecular atom coordinates by
(box_width/2,... | [
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... | 2.512891 | 2,172 |
import numpy as np
from ..initialization import DefaultInitializer
from ..operators import Operators
from ..evaluation import SimpleFitness
from ..utility.history import History
| [
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1330... | 4.285714 | 42 |
import os
import time
import random
import datetime
import re
from nonebot import on_command, on_regex
from nonebot.typing import T_State
from nonebot.params import State
from nonebot.adapters.onebot.v11.bot import Bot
from nonebot.adapters.onebot.v11.event import Event
# 今天是几号星期
WEEK = ['一', '二', '三', '四', '五', '六',... | [
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67... | 2.281407 | 199 |
from django.urls import path
from case_admin.views import common, case, comment, tag, user, question
app_name = "case_admin"
urlpatterns = [
path("users/", user.view_admin_user, name='users'),
path("users/review", user.view_admin_user_review, name='users_review'),
path("users/<int:user_id>", user.api_adm... | [
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62,
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796,
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62,
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1,
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33279,
... | 2.820961 | 458 |
n = int(input())
print(dest(n, n)) | [
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7,
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198,
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7,
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7,
77,
11,
299,
4008
] | 2.1875 | 16 |
import SimpleNN as nn
import ConvNN as cnn
import os
parameters = [[512],[256],[128], [96], [64], [48], [32], [24], [16], [12], [8], [4]]
parameters = parameters[::-1]
nn.feedFashionDataset()
cnn.feedFashionDataset()
root_directory = 'Saved Models/Fashion/'
for epoch in [1,2,3,4,5,10,15,20,25,30]:
for test in [1,2... | [
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2780,
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685,
2624,
4357,... | 2.355114 | 352 |
"""Networking Module."""
IPPROTO_IPV4 = 0x0800
| [
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198
] | 2.285714 | 21 |
try:
from tempfile import TemporaryDirectory
except ImportError:
from shutil import rmtree
from contextlib import contextmanager
from tempfile import mkdtemp
@contextmanager
import functools
from sys import platform
import pytest
skip_windows = functools.partial(pytest.mark.skipif, platform == '... | [
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220,
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... | 3.313131 | 99 |
from django.db import models
from django.utils import timezone
from django.urls import reverse
from django.contrib.auth.models import User
# Create your models here.
| [
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822,
13,
18439,
13,
27530,
1330,
11787,
198,
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2,
... | 3.541667 | 48 |
"""Analizar los siguientes ejercicios de condiciones, representarlos mediante algoritmos en Python. """
#3.-Se tiene que evaluar cuatro notas de un alumno, como resultado se visualiza el
# promedio del alumno junto con su condición de APROBADO o DESAPROBADO,
# sieste aprobado y con 18 o más, saldrá el siguiente mensa... | [
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551,
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13,
37227,
198,
2,
18,
7874,
4653,
46668,
1734,
8358,
... | 2.328814 | 295 |
# [Shaolin Temple] For Shaolin Temple
ZHEUNG_GUAN = 9310046
WISE_CHIEF_PRIEST = 9310053
ELDER_JUNG = 9310049
HAIFENG_FASHI = 9310051
sm.removeEscapeButton()
sm.setSpeakerID(ELDER_JUNG)
sm.setBoxChat()
sm.sendNext("The mountain weeps this day. My old friend has become a demon... What pain must he have been hiding to h... | [
2,
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64,
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37,
62,
4805,
40,
6465,
796,
10261,
3064,
4310,
198,
3698,
14418,
... | 2.837321 | 418 |
import pymongo
client = pymongo.MongoClient('localhost', 27017)
db = client.stranger_tele_bot
| [
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62,
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62,
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198
] | 2.909091 | 33 |
# Generated by Django 2.2.15 on 2020-09-24 20:57
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
| [
2,
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42625,
14208,
13,
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1330,
6460,
198,
6738,
426... | 3.038462 | 52 |
# -*- coding: utf-8 -*-
import apple
import canon
import casio
import fujifilm
import nikon
import olympus
| [
2,
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9,
12,
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25,
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11748,
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6124,
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11748,
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346,
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198,
11748,
299,
1134,
261,
198,
11748,
267,
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385,
198
] | 2.609756 | 41 |
import warnings
from collections import OrderedDict
import pandas as pd
from . import dtypes, utils
from .alignment import align
from .variable import IndexVariable, Variable, as_variable
from .variable import concat as concat_vars
def concat(
objs,
dim=None,
data_vars="all",
coords="different",
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282,
16747,
1330,
10548,
198,
6738,
764,
45286,
1330,
12901,
... | 2.54051 | 4,394 |
import argparse
import hashlib
import sys
import os
import Cryptodome.Cipher.AES as AES
from getpass import getpass
from itertools import chain
from contextlib import ExitStack
from functools import wraps
from .src.cipher import EncryptionCipher, DecryptionCipher, configure_cipher
from .. import __version__ as version
... | [
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198,... | 2.02611 | 383 |
import pygame
import json
from settings import *
from Button_Classes import Button
import image_choosing
import maingame_loop
import cv2
import numpy
import calibration
pygame.font.init()
MENU_OPTIONS = pygame.image.load(OPTIONS_BACKGROUND)
MENU_OPTIONS=pygame.transform.scale(MENU_OPTIONS,(WINDOWS_WIDTH,WINDOWS_HEIG... | [
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299,
... | 2.214854 | 377 |
n1 = int(input("Primeiro número: "))
n2 = int(input("Segundo número: "))
print("Soma: {}".format(n1+n2))
| [
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25,
23884,
1911,
18982,
7,... | 2.078431 | 51 |
#
# Copyright 2019 The FATE 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 appli... | [
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366,
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198,
2,
220,
345,
743,
407,
779,
428,
2393,
... | 3.675532 | 188 |
if __name__ == "__main__":
print("not so rad")
| [
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] | 2.428571 | 21 |
"""
Provide implementation of the FastRandomChoice interfaces.
"""
from abc import (
ABC,
abstractmethod,
)
class FastRandomChoiceInterface(ABC):
"""
Provide implementation of the FastRandomChoice interfaces.
"""
@abstractmethod
def choice(self, seq, p):
"""
Choose a rando... | [
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46770,
39317,... | 2.988827 | 179 |
"""
Code Linting
"""
from invoke import task
@task
def lint(context):
"""
Runs quality checks through linter
"""
context.run('prospector')
| [
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2... | 2.754386 | 57 |