content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
#!/usr/bin/python3
"""
RobotArm API service config file
"""
import pathlib
from robotarm.armservice.views import api_views
from flask import (
Flask,
make_response,
jsonify
)
from robotarm.armservice import getenv
# initialize flask app
app = Flask(__name__)
# register/mount blueprint
app.register_bluepri... | [
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... | 2.69802 | 202 |
from xbrr.base.reader.base_element_schema import BaseElementSchema
from bs4.element import NavigableString, Tag
import bs4
| [
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] | 3.075 | 40 |
from datetime import datetime
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# Generated by Django 3.1 on 2020-10-18 11:51
from django.conf import settings
from django.db import migrations
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] | 3.166667 | 36 |
from .transcript_day import *
EXAMPLE_DATA = r'''
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml" >
<head>
<title>Charcoal HQ - 2017-11-17 (page 2 of 4)</title>
<link rel="shortcut icon" h... | [
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... | 1.954758 | 35,962 |
"""
A set of functions required to pre-process TRNSYS simulation input files
"""
# Common imports
import os
import sys
import shutil
import re
# Custom imports
from pybps import util
# Handle Python 2/3 compatibility
from six.moves import configparser
import six
if six.PY2:
ConfigParser = configparser.SafeConfigP... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Game of Life console.
small play ground for leanning python, or just having fun.
To use the console with an empty grid:
python -i -mgof.console
or
bpython -i -mgof.console
To use the console with a pseudo animation:
python -i -mgof.demo
Avalailble varia... | [
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1... | 3.072581 | 496 |
# -*- coding: utf-8 -*-
# ------------------------------------------------------------
# StreamOnDemand-PureITA / XBMC Plugin
# Canal para italiafilmvideohd
# http://www.mimediacenter.info/foro/viewtopic.php?f=36&t=7808
# ------------------------------------------------------------
import base64
import re
import urlpar... | [
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2,... | 5.721805 | 399 |
"""Tests Tier Data"""
import numpy as np
from covid.data import TierData
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import pyautogui
import time
import pyperclip
import pandas as pd
#pyautogui.displayMousePosition()
pyautogui.PAUSE = 1
#Passo 1
#Abrir uma nova aba
time.sleep(2)
pyautogui.hotkey('ctrl', 't')
#Entrar no link do sistema
link = "https://drive.google.com/drive/folders/149xknr9JvrlEnhNWO49zPcw0PW5icxga"
py... | [
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519... | 2.139503 | 724 |
import tkinter
import json
from math import *
from random import *
from tkinter import *
| [
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from django.urls import path
from django.conf.urls import url
from . import views
urlpatterns = [
path('', views.index, name='home'),
url(r'^artist/(?P<inputID>.*?)/$', views.showArtistPage, name='showArtistPage'),
url(r'^album/(?P<inputID>.*?)/$', views.showAlbumPage, name='showAlbumPage'),
url(r'^so... | [
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... | 2.606164 | 292 |
"""Table CLI formatter.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import yaml
from treadmill.formatter import tablefmt
def _sort(unsorted):
"""Sort list."""
unsorted.sort()
return '\n'.join(un... | [
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... | 2.270092 | 759 |
r=""
for _ in range(int(input())):
s=input();tn=s[-2]+s[-1]
if tn=='ne':
r+=s[:-2]+'anes\n'
else:
t=s[-1]
if t=='a' or t=='o' or t=='u':
r+=s+'s\n'
elif t=='i' or t=='y':
r+=s[:-1]+'ios\n'
elif t=='l' or t=='r' or t=='v':
r+=s+'es\n... | [
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2... | 1.395954 | 346 |
from __future__ import print_function
"""Updates database json representation
"""
import argparse
import itertools
import logging
import relstorage.adapters.postgresql
import relstorage.options
import sys
from . import pg_connection
from . import follow
from .jsonpickle import Jsonifier
from ._adapter import DELETE_T... | [
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import string
ALPHABET = set(string.ascii_lowercase) | [
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#!/usr/bin/env python
"""Merge multiple evaluation files into one with prefixed measure names
If directories are given, and --out-dir, will group by filename.
Example usage:
./scripts/merge_evaluations.py --label-re='[^/]+/?$' -x eval_merged -l =TEDL2015_neleval-no1331 --out-dir /tmp/foobar tac15data/TEDL2015_nel... | [
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... | 2.234918 | 1,409 |
from __future__ import absolute_import, division, print_function
import os
import numpy as np
import theano.tensor as T
from .model_basis import ModelBasis
from .model_record import Record
from ..layers import layers
| [
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... | 3.194444 | 72 |
import csv
import os
import json
from string import join
from scrapy import log
from scrapy.spider import BaseSpider
from scrapy.selector import HtmlXPathSelector
from scrapy.http import Request, HtmlResponse, FormRequest
from scrapy.utils.url import urljoin_rfc
from product_spiders.items import Product, ProductLo... | [
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... | 3.300813 | 123 |
import streamlit as st
title = st.text_input("Search:", "")
st.write("You search for: ", title)
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] | 2.939394 | 33 |
#!/usr/bin/env python
# WS client example to test server
import asyncio
import websockets
import json
import time
asyncio.get_event_loop().run_until_complete(hello()) | [
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#NOT YET WORKING PROPERLY
#NOT INTEGRATED WITH THE ASSISTANT YET
from pytrends.request import TrendReq
# Only need to run this once, the rest of requests will use the same session.
pytrend = TrendReq()
if __name__ == '__main__':
console_trends() | [
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import os
import asyncio
import re
import requests
import time
import lottie
import PIL.ImageOps
from os.path import basename
from PIL import Image
from typing import Optional
from .. import LOGS
from ..config import Config
from ..utils.extras import edit_or_reply as eor
from .progress import *
from .runner import r... | [
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from __future__ import absolute_import
import os
from celery import Celery
from django.conf import settings
os.environ.setdefault('DJANGO_SETTINGS_MODULE',
'config.settings.'+os.environ.get('APP_ENV', 'local'))
app = Celery('app')
app.config_from_object('django.conf:settings')
app.autodiscover_t... | [
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... | 2.620438 | 137 |
import time
from typing import cast, Dict, Any
from flask import request
from assemblyline.common import forge
from assemblyline.common.constants import SERVICE_STATE_HASH, ServiceStatus
from assemblyline.common.dict_utils import flatten, unflatten
from assemblyline.common.forge import CachedObject
from assemblyline.... | [
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3... | 2.458013 | 2,989 |
# Copyright (c) 2017 Shotgun Software Inc.
#
# CONFIDENTIAL AND PROPRIETARY
#
# This work is provided "AS IS" and subject to the Shotgun Pipeline Toolkit
# Source Code License included in this distribution package. See LICENSE.
# By accessing, using, copying or modifying this work you indicate your
# agreement to the S... | [
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15... | 3.722689 | 238 |
__all__ = ['Elastix', 'Resampling']; | [
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# -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2016-09-01 23:52
from django.db import migrations
| [
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# -------- BEGIN LICENSE BLOCK --------
# Copyright 2022 FZI Forschungszentrum Informatik
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright
# n... | [
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3... | 2.793023 | 1,290 |
from gaffer import Plugin
__all__ = ['DummyPlugin']
from .app import DummyApp
| [
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] | 3.115385 | 26 |
import numpy as np
import cv2
from preprocessing.utils import get_original_with_fakes
from tqdm import tqdm
from multiprocessing.pool import Pool
from functools import partial
# from skimage.measure import compare_ssim
from skimage import metrics
import argparse
import os
os.environ["MKL_NUM_THREADS"] = "1"
os.environ... | [
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1330... | 2.636364 | 187 |
import ast
import community
import datetime
import lightgbm as lgb
import math
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
import pandas as pd
import pickle
import plotly.express as px
import os
from sklearn.metrics import accuracy_score, confusion_matrix, roc_auc_score
from tqdm import tqd... | [
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... | 3.231481 | 108 |
from django import forms
from recipe_app.models import Author
from django.contrib.auth.forms import UserCreationForm
# Create two forms: RecipeForm & AuthorForm
"""
Author:
- Name: CharField
- Bio: TextField
Recipe:
- Title: CharField
- Author: ForeignKey
- Description: TextField
- Time Requ... | [
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... | 3.11811 | 127 |
from typing import *
import collections
import copy
import hashlib
import math
import numpy as np
from pathlib import Path
import random
import re
from tqdm import tqdm
import traceback
import sys
from seutil import LoggingUtils, IOUtils, BashUtils
from seutil.project import Project
from roosterize.data.CoqDocument ... | [
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... | 3.501805 | 277 |
"""
This package contains implementations of pairwise similarity queries.
"""
# bring classes directly into package namespace, to save some typing
import warnings
try:
import Levenshtein # noqa:F401
except ImportError:
msg = (
"The gensim.similarities.levenshtein submodule is disabled, because the opt... | [
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14... | 2.880597 | 335 |
from tpucolab.core import * | [
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1635
] | 2.7 | 10 |
import time
| [
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] | 4 | 3 |
# -*- coding: utf-8 -*-
""" SQLite emitter """
import logging
import sqlite3
LOGGER = logging.getLogger()
| [
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] | 2.658537 | 41 |
import cv2
import numpy as np
from numpy.linalg import norm
import math
import csv
from operator import itemgetter
from datetime import datetime
import VideoEnhancement
import fishpredictor
import detector
import kmeancluster
import preproccesing
import randomforst
cluster = kmeancluster.kmeans()
classifier = randomfo... | [
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... | 1.831767 | 3,299 |
""" --- geometry parameters for Wei et al stochastic sensing --- """
nm = 1e-0
# @TODO maybe include tolc in parent file
tolc = 1e-2*nm # tolerance for coordinate comparisons
dim = 3
# molecule radius
rMolecule = 5*nm
# effective pore radius ~ d^SAM_p/2
r0 = 13*nm
# aperture angle in degrees
angle = 40
# SiN mem... | [
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68... | 3.044521 | 292 |
import requests
sample_user = {"latitude" : 42.2561110, "longitude" : -71.0741010, "uid" : "0" , "first_name" : "alex", "last_name" : "iansiti"}
send_url = "http://flask-macoder.rhcloud.com/near"
r = requests.post(send_url, sample_user)
print(r.json()) | [
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... | 2.466019 | 103 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
... | [
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2... | 2.58 | 850 |
from functools import total_ordering
| [
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] | 3.727273 | 11 |
from typing import Tuple, Pattern
from urllib.request import urlopen
import os
from ftplib import FTP
from tempfile import TemporaryDirectory
from hashlib import sha256
import re
from course_valve.valve_defs import (
TARGET_FTP,
ENCRYPTED_PASSWORD,
TARGET_FILE_NAME,
IDENTIFIER,
NO_IDENTIFIER,
F... | [
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... | 2.435294 | 170 |
"""
Tests for the base module
"""
from vlnm.normalizers.base import (
FormantGenericNormalizer,
FormantSpecificNormalizer,
FormantsTransformNormalizer,
Normalizer)
from tests.helpers import Helper
| [
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... | 3.042254 | 71 |
#!/usr/bin/env python3
import os
import sys
import time
import traceback
from itertools import combinations
from multiprocessing.pool import ThreadPool
from exchangebase import ExchangeBase
from exchangepair import ExchangePair
from gdaxapi import Gdax
from krakenapi import Kraken
if __name__ == "__main__":
arb... | [
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import boto3
import sys
import numpy as np
import random
import time
# endpoint_url = 'https://mturk-requester-sandbox.us-east-1.amazonaws.com'
endpoint_url = 'https://mturk-requester.us-east-1.amazonaws.com'
##Remember to put the AWS credential in ~/.aws/credential like below:
#######
#[default]
#aws_access_key_id = ... | [
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... | 2.774545 | 825 |
# def get_param_traj_file_path(dir_name, net_name, index):
# return f'{dir_name}/{net_name}_{index}.txt'
import os
from datetime import datetime
if __name__ == '__main__':
print(get_log_dir("a", 1, "s", False, 0)) | [
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from __future__ import print_function
import pytest
from tempfile import mkdtemp
from glob import glob
import shutil
import fnmatch
import os
import os.path
import sami
TEST_DIR = os.path.join(os.path.split(__file__)[0], "test_data")
# Note: if the test data is changed, then these lists must be updated
# (too hard... | [
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# -*- coding: utf-8 -*-
from model.contact import Contact
# def test_add_empty_contact(app):
# old_contacts = app.contact.get_contact_list()
# contact = Contact(firstname='', middlename='', lastname='', nickname='', title='', company='', address='', home='', mobile='', work='', fax='', email='', email2='', e... | [
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# -*- coding:utf-8 -*-
"""
Description:
Inventory Class
Usage:
from AntShares.Network.Inventory import Inventory
"""
from AntShares.IO.MemoryStream import MemoryStream
from AntShares.IO.BinaryWriter import BinaryWriter
from AntShares.Cryptography.Helper import *
from AntShares.Helper import *
import binascii... | [
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... | 3.354167 | 96 |
#!/usr/bin/python
# Copyright (c) 2015-2017 Martin F. Falatic
#
# 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
#
# Unl... | [
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#!/usr/bin/env python3
import os.path
import random
from pathlib import Path
from random import randint
from pymongo import MongoClient
from web3.logs import DISCARD
from broker import cfg
from broker._utils import _log
from broker._utils._log import console_ruler
from broker._utils.tools import _time, _timestamp, c... | [
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198,
6738,... | 2.002157 | 2,781 |
from torch.autograd import Variable
import torch.nn.functional as F
import torch.nn as nn
import torch as th
from components.transforms import _to_batch, _from_batch, _check_inputs_validity, _tdim, _vdim
| [
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43... | 3.136364 | 66 |
from datetime import date
nascimento = int(input('Digite o ano de nascimento: '))
idade = date.today().year - nascimento
print(f'Ele tem {idade} anos.')
if idade <= 9:
lugar = 'mirim'
elif idade <= 14:
lugar = 'infantil'
elif idade <= 19:
lugar = 'junior'
elif idade <= 25:
lugar = 'snior'
... | [
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3... | 2.173913 | 184 |
from .utils import add_weight_decay, AverageMeter, label_img_to_color, check_mkdir | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 27 18:11:58 2021
@author: TSAI, TUNG-CHEN
@update: 2021/10/05
"""
MODEL_NAME = 'PhysicalCNN'
DIRECTORY = r"../dataset/preprocessed/data/"
WALK = True
SUBSET = 'all'
from wtbd.infer import infer
from wtbd.utils import print_info
from wtbd.data_c... | [
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11,... | 2.845426 | 317 |
"""
"""
from lottery import get_history
import pandas as pd
import dash
import dash_html_components as html
import dash_core_components as dcc
CODE = ''
MIN = 1
COUNT = 200
def _calc_prob(num, datas):
"""
numdatas
e.g.:
num = 1
data = [[2,3],[1,7],[3,6]]
retunr 1/3
"""
... | [
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2... | 2.027726 | 541 |
"""
Copyright [2013] [Rackspace]
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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743,
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779,
428,
2393,
2845,
287,
11846,
351,
262,
13789,
... | 2.888128 | 438 |
from datetime import datetime
today = datetime.today().strftime('%Y-%m-%d %H-%M-%S') | [
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] | 2.428571 | 35 |
Import("env")
import hashlib
import os
import shutil
env.AddPostAction("$BUILD_DIR/firmware.bin", after_build)
| [
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8,
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] | 2.825 | 40 |
import re
import os
from bs4 import BeautifulSoup
from . import settings
def html2list(html_string, level='word'):
"""
:param html_string: any ol' html string you've got
level: either 'word' or 'character'. If level='word', elements will be words.
If level='character', elem... | [
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6,
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198,
220,
220,
220,
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198,... | 2.263158 | 2,774 |
##########################################################################
#
# pgAdmin 4 - PostgreSQL Tools
#
# Copyright (C) 2013 - 2020, The pgAdmin Development Team
# This software is released under the PostgreSQL Licence
#
##########################################################################
import os
import... | [
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#!/usr/bin/env python
# Copyright 2014, Deutsche Telekom AG - Laboratories (T-Labs)
#
# 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
#
# Unl... | [
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... | 3.714286 | 175 |
import frappe
# print("///////////******///////******////******///**")
# print(user)
# print(frappe.session.user)
# return """(`tabValiant`.`native`='Salem' )"""
# return "(`tabValiant`.owner = 'i am')".format(user=frappe.db.escape(user))
| [
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1... | 2.641304 | 92 |
from django.shortcuts import render
from django.http import HttpResponse,JsonResponse
from django.conf import settings
from Book.models import PictureInfo,AreaInfo
from django.core.paginator import Paginator
# Create your views here.
def sheng(request):
""",JSON,ajax"""
# sheng_list = [AreaInfo,AreaInfo,Are... | [
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... | 2.33018 | 1,057 |
"""
File: add2.py
Name:
------------------------
TODO:
"""
import sys
####### DO NOT EDIT CODE BELOW THIS LINE ########
def traversal(head):
"""
:param head: ListNode, the first node to a linked list
-------------------------------------------
This function prints out the linked list starting wit... | [
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33... | 2.862069 | 174 |
import obelisk
import logging
import bitcoin
from twisted.internet import reactor
_log = logging.getLogger('trust')
TESTNET = False
| [
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] | 3.512821 | 39 |
# Collage Generator Backend Application
import logging.config
from starlette.applications import Starlette
from starlette.middleware import Middleware
from starlette.middleware.authentication import AuthenticationMiddleware
from starlette.middleware.gzip import GZipMiddleware
from starlette_context import plugins
from... | [
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1574,... | 3.247093 | 344 |
"""
[Golf](https://www.codechef.com/MAY21C/problems/LKDNGOLF)
It's a lockdown. Youre bored in your house and are playing golf in the hallway.
The hallway has N+2 tiles numbered from 0 to N+1 from left to right. There is a hole on tile number x. You hit the ball
standing on tile 0. When you hit the ball, it bounces at... | [
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21... | 2.837469 | 806 |
"""
Application logger
"""
import logging
import os
import sys
from yogit import get_name, get_version
from yogit.yogit.paths import get_log_path, SETTINGS_DIR
def get_logger(stdout=False, logger_name=get_name(), version=get_version()):
"""
Create and configure a logger using a given name.
"""
os.ma... | [
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... | 2.374384 | 609 |
# coding: utf-8
"""
Connect Statistics API
Connect Statistics API provides statistics about other cloud services through defined counters.
OpenAPI spec version: 3
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
# import models into m... | [
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... | 3.728682 | 129 |
import logging, sys
if __name__ == '__main__':
logger = sane_logger(logging.DEBUG)
logger.info('test log')
| [
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] | 2.825 | 40 |
from core_tools.data.SQL.SQL_connection_mgr import SQL_database_manager
from core_tools.drivers.hardware.hardware_SQL_backend import virtual_gate_queries
import time
import numpy as np
def lamda_invert(matrix):
return np.linalg.inv(matrix)
def lamda_norm(matrix_norm):
matrix_no_norm = np.empty(matrix_norm.sh... | [
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13,
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1574,
62,
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62,
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437,
1330,
7166,
6... | 2.135013 | 1,548 |
from django.shortcuts import render
from django.shortcuts import get_object_or_404
from rest_framework.views import APIView
from rest_framework import status
from rest_framework.response import Response
from rest_framework import generics
from .models import kotoUser
from .models import transaction
from .models import ... | [
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769,
198,
6738,
1334,
62,
30604,
1330,
3722,... | 3.88015 | 267 |
import sys
import re
import json
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.preprocessing import MultiLabelBinarizer
from scipy.spatial.distance import cdist
from colorama import Fore, Style
from kneed impo... | [
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1330,
509,
... | 2.036725 | 25,242 |
import json
from collections import OrderedDict
import pprint
import json
import sys
# prons = sys.argv
prons = ['pron1.json', 'pron2.json','pron3.json','pron4.json']
for pron in prons:
synset = war(pron)
print(json.dumps(synset, indent=2, ensure_ascii=False))
| [
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... | 2.482456 | 114 |
from flask import Blueprint,Flask
main = Blueprint('main',__name__)
from app.main import views
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
bootstrap= Bootstrap()
db = SQLAlchemy()
| [
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26... | 3.47619 | 63 |
#!/usr/bin/env python3
'''set frame height 10%, 80%, 10%'''
import tkinter as tk
root = tk.Tk()
root.geometry('400x300')
header = tk.Frame(root, bg='green')
content = tk.Frame(root, bg='red')
footer = tk.Frame(root, bg='green')
root.columnconfigure(0, weight=1) # 100%
root.rowconfigure(0, weight=1) # 10%
root.rowc... | [
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... | 2.364486 | 214 |
from lib import *
generate_bins("./bld/bits/vex_pb0_partial.bit","./bld/bins/vex_pb0.bin",0x8D)
generate_bins("./bld/bits/vex_pb1_partial.bit","./bld/bins/vex_pb1.bin",0x8D)
generate_bins("./bld/bits/vex_pb2_partial.bit","./bld/bins/vex_pb2.bin",0x8D)
generate_bins("./bld/bits/vex_tmr_pb0_partial.bit","./bld/bins/vex... | [
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87... | 1.787535 | 1,412 |
import unittest
from pysie.dsl.set import TernarySearchTrie
if __name__ == '__main__':
unittest.main() | [
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... | 2.477273 | 44 |
from sanic import Blueprint
from sanic import response
from sanic.log import logger
from sanic_openapi import doc
from .user import get_user, get_routes
user_svc = Blueprint('user_svc')
| [
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27... | 3.220339 | 59 |
from opentrons import protocol_api
# Rename to 'purification_template' and paste into 'template_ot2_scripts' folder in DNA-BOT to use
metadata = {
'apiLevel': '2.8',
'protocolName': 'purification_template',
'description': 'Implements magbead purification reactions for BASIC assembly usin... | [
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287,
7446,... | 2.919075 | 173 |
# Generated by Django 3.2.4 on 2021-08-15 12:55
from django.db import migrations, models
| [
2,
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] | 2.84375 | 32 |
import pytest
import json
from django.urls import reverse
| [
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198
] | 3.625 | 16 |
'''
Created on Nov 16, 2011
@author: jcg
'''
from Features.Feature import Feature
import Functions
from uuid import uuid4
import Solution
| [
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334,
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19,
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220,
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... | 2.865385 | 52 |
from django.urls import path
from .views import portfolio_view
urlpatterns = [
path('', portfolio_view, name='projects_view')
] | [
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... | 3.142857 | 42 |
#! /usr/bin/env python
'''
This node uses the detection_info topic and performs the actual Ur5 arm manipulation
'''
import rospy
import random
from math import pi, sin, cos
from geometry_msgs.msg import Point, Quaternion, Pose, PointStamped, PoseStamped
from std_msgs.msg import Header
from object_msgs.msg import Obj... | [
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6,
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686,
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88,
198,
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198... | 2.192521 | 4,332 |
import tensorflow as tf
from cleverhans.attacks import FastGradientMethod
from cleverhans.utils_keras import KerasModelWrapper
from keras.utils import to_categorical
import keras.backend as K
import numpy as np
from functools import lru_cache
from pickle import loads, dumps
from models import filter_correctly_class... | [
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198,
198,
6738,
41927,
292,
13,... | 3.44898 | 98 |
from urlparse import urlparse
from re import match
def get_redirect(req_path, ref_url):
'''
>>> get_redirect('/style.css', 'http://preview.local/tree/foo/view/')
'/tree/foo/view/style.css'
>>> get_redirect('/style.css', 'http://preview.local/tree/foo/view/quux.html')
'/tree/foo/view/style.css'
... | [
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705,
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198,
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220,
220,
13163,
651,
62,
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1060,
1078... | 2.496575 | 876 |
from flask import Blueprint, render_template
home_bp = Blueprint(
"home_bp",
__name__,
)
| [
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1600,
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220,
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11593,
3672,
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8,
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] | 2.777778 | 36 |
from p3ui import *
import matplotlib.pyplot as plt
import numpy as np
| [
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] | 2.92 | 25 |
from collections import deque
"""
Operations
* Enqueue
* Dequeue
* Peek (first element)
* Size
* IsEmpty
* Print
"""
if __name__ == '__main__':
demo_queue_operation_using_deque()
pass
"""
deque([1, 2, 3, 4, 5])
deque([3, 4, 5])
3
"""
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1... | 2.375 | 104 |
mask = 255
print(mask == 255)
blue_mask = mask == 255
print(mask)
print(blue_mask) | [
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] | 2.575758 | 33 |
'''
Contains the implementation of the FindSongs class.
'''
from re import compile as rcompile
from zipfile import ZipFile
from os.path import dirname
import pandas as pd
from tensorflow.keras.models import load_model
from sklearn.neighbors import NearestNeighbors
from joblib import load
DIR = dirname(__file__)
rex =... | [
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... | 2.391534 | 378 |
import tweepy
import time
import pandas as pd
import datetime
import re
from auth import consumer_key,consumer_secret,key,secret,user_ID
# twitter auth process
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(key, secret)
api = tweepy.API(auth)
bot_id = api.me().id #1382664940587261954
#... | [
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#!/usr/bin/env python
import rosbag
import numpy as np
import matplotlib.pyplot as plt
import sys
import os
args = sys.argv
print(len(args))
assert len(args)>=2, "you must specify the argument."
# get path
filename=os.path.normpath(os.path.join(os.getcwd(),args[1]))
print(filename)
# read from bag file
bag = rosbag.... | [
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'''
Created on Dec 21, 2014
@author: Alina Maria Ciobanu
'''
import numpy
import re
TOKEN_NER_TAGS = ['DATE', 'NUMBER']
WIKI_NER_TAGS = ['PERSON', 'ORGANIZATION', 'LOCATION']
DEFAULT_YEAR_VALUE = 1858 # the mean of the lowest and highest value for all possible intervals, hardcoded for now
def get_tem... | [
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... | 2.228111 | 434 |
"""This module handles classifier calculation."""
from academia_tag_recommender.definitions import MODELS_PATH
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.metrics import make_scorer, recall_score
from sklearn.model_selection import StratifiedKFold
f... | [
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6... | 3.17561 | 205 |
from node.behaviors import Adopt
from node.behaviors import DefaultInit
from node.behaviors import Nodespaces
from node.behaviors import Nodify
from node.behaviors import OdictStorage
from node.tests import NodeTestCase
from odict import odict
from plumber import plumbing
#############################################... | [
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... | 5.429752 | 121 |