content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# -*- coding: utf-8 -*-
from openerp import models, fields, api, osv
# We just create a new model
# We want to inherits from the parent model and we add some fields
# in the child object
# We add a new field in the parent object. Because of a recent refactoring,
# this feature was broken.
# This test and these mode... | [
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2,
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2560... | 3.18797 | 133 |
import os
import random
import discord
from client.main_bot_client import MainBotClient
from cogs.tech_news_cog import TechNewsCog
from cogs.greetings import Greetings
if __name__ == "__main__":
start()
| [
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"""OpenAPI spec renderer: render_request_body."""
import textwrap
import pytest
from sphinxcontrib.openapi import renderers
@pytest.mark.parametrize("content_type", [
"application/x-www-form-urlencoded",
"multipart/form-data",
])
@pytest.mark.parametrize(
"content_type", ["application/json", "applic... | [
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# Link urls to views
from django.urls import path
from . import views
# App name
app_name = 'dashboard'
# Routes
urlpatterns = [
path('', views.index, name='index'),
path('detail', views.detail, name='detail'),
path('history', views.history, name='history'),
path('get_newest_readings/<str:racks>/<str... | [
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... | 2.347368 | 380 |
#!/usr/bin/python
from Frontend.commonerror import CommonError
from Frontend.splitprog import SplitProg
from Frontend.mergererror import MergerError
from Frontend.loaderror import LoadError
from Frontend.passworderror import PasswordError
from Frontend.forgetpassword import ForgetPassword
from Frontend.savesplit impor... | [
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1362,... | 3.753521 | 142 |
"""The 'new' conda format, introduced in late 2018/early 2019. Spec at
https://anaconda.atlassian.net/wiki/spaces/AD/pages/90210540/Conda+package+format+v2"""
import json
import os
from tempfile import NamedTemporaryFile
try:
from zipfile import ZipFile, BadZipFile, ZIP_STORED
except ImportError:
# py27 compa... | [
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... | 3.081081 | 333 |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2011 Ken Pepple
# 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
#
# U... | [
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34156... | 3.360656 | 244 |
from unittest import TestCase
from messente.verigator import api
| [
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import sys
import redis
import uuid
from reqresp.reqresp import Queue
if __name__ == "__main__":
main(sys.argv[1])
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# api/urls.py
from django.contrib import admin
from django.urls import include, path
from rest_framework.urlpatterns import format_suffix_patterns
from api import view
urlpatterns = [
path('model', view.graph),
path('analyse', view.graph_analysis),
path('export', view.graph_export),
path('import', vie... | [
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# coding: utf-8
__version__ = '0.7.8'
| [
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# DO NOT USE WITH pip
#
# Stub for ROS / catkin _only_
from distutils.core import setup
setup(
version='0.0.1',
scripts=['python/histogram_drawer'],
packages=['sonar_image_proc'],
package_dir={'': 'python/'}
)
| [
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32... | 2.451613 | 93 |
# coding: utf-8
# Copyright 2010-2015 TxMongo Developers
#
# 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 o... | [
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2393... | 3.826446 | 242 |
for case in range(int(input())):
r, t = [int(n) for n in input().split()]
answer = find_it(r, t)
print('Case #{}: {}'.format(case+1, answer))
| [
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# coding=utf-8
# Copyright 2019 Google LLC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | [
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... | 3.706897 | 232 |
"""
Problem Statement
You are given an integer ‘N’. Your task is to print a pattern with the following description
The pattern will consist of ‘N’ lines.
For 1 <= ‘i’ <= ‘N’ ‘i’th line consists of a string of ‘N’ + 1 - ‘i’ ‘*’ characters.
For example:
If ‘N’ is 5 then the pattern will be.
*****
****
***
**
*
Input ... | [
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481,
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286,
564,
246,
45,
447,
247,
3951,
13,
198,
198,
1890,
... | 3.042274 | 686 |
from csv import DictReader
filename = "vine_meta_data.csv"
allData = []
rows = DictReader(open(filename, 'Ur'))
for ii in rows:
commentsList = []
postShareUrl = ii["postShareUrl"]
postUsername = ii["postUserName"]
for key in ii.keys():
if "column" in key and ii[key] != "empty" a... | [
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360,
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7,
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... | 2.585761 | 309 |
import pandas as pd
import os
import numpy as np
import cv2
datapath1='D:/Minor Project/COVID-19 Detection/Files/Covid-19 prediction using X-Ray images/covid-chestxray-dataset-master/'
dataset_path='D:/Minor Project/COVID-19 Detection/Files/Covid-19 prediction using X-Ray images/dataset'
categories=os.listd... | [
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1... | 2.400922 | 651 |
from django.db import models
# Create your models here.
| [
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628
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"""
Tiezheng YU
2021-1-3
"""
| [
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198
] | 1.611111 | 18 |
import urllib.request;
import json as JSON;
import time;
#Change these values to fit needs
domain = "example.com";
subdomains = ["", "test""]
headers = {
"X-Auth-Email": "email@example.com",
"X-Auth-Key": "123456798ABCDEF",
"Content-Type": "application/json"
}
#Convert output from requests to ... | [
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... | 2.36721 | 1,043 |
from .loading import get_profile
from .decorators import AutoScript, Script, Component, AutoComponent, Modifier, AutoModifier, Modification
from .config import ConfigIter, EmptyElement, ConfigType
Component('iter')(ConfigIter)
del ConfigIter
from .top import get_project, get_current_project, \
entry, mai... | [
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... | 2.933025 | 433 |
import wikipedia
import sys
query = sys.argv[1]
wiki_res = wikipedia.page(query, auto_suggest=False)
print(dir(wiki_res))
print(wiki_res.title)
#first paragraph of summary
summary_start = wiki_res.summary.split("\n")[0]
print(summary_start)
print(wiki_res.images[0])
| [
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... | 2.727273 | 99 |
import os
from keep_alive import keep_alive
from discord.ext import commands
bot = commands.Bot(
command_prefix=get_prefix,
case_insensitive=True
)
bot.author_id = 486086967411474433
@bot.remove_command('help')
@bot.event
extensions = [
'cogs.cog_dev',
'cogs.api_pat',
'cogs.api_kpop',
'cogs.api_win... | [
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... | 2.198142 | 323 |
ADMIN_THEME = "admin"
DEFAULT_THEME = "core"
| [
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] | 2.045455 | 22 |
import unittest
from scipy.stats import ttest_ind, pearsonr, ks_2samp
from utils import prepare_data
| [
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628
] | 2.783784 | 37 |
from shapely.geometry import asShape, mapping
| [
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11,
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# Generated by Django 2.0.4 on 2018-11-05 13:44
from django.db import migrations, models
| [
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1330,
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602,
11,
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628
] | 2.84375 | 32 |
import uvicorn
from fastapi import HTTPException
from fastapi.responses import PlainTextResponse
from starlette import status
from src.core.config import Settings
from src.core.client import Client
from src.core.security import build_check_authentication_header
settings = Settings()
app = Client(settings.apache_lo... | [
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13,
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1330,
16163,
... | 3.280822 | 146 |
from typing import List
s = Solution()
ip = ["gin", "zen", "gig", "msg"]
ans = s.uniqueMorseRepresentations(ip)
print(ans) | [
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8... | 2.795455 | 44 |
import pandas as pd
from pandas import Period, offsets
from pandas.util import testing as tm
from pandas.tseries.frequencies import _period_code_map
class TestFreqConversion(tm.TestCase):
"Test frequency conversion of date objects"
| [
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... | 3.4 | 70 |
'''This script loads pre-trained word embeddings (GloVe embeddings)
into a frozen Keras Embedding layer, and uses it to
train a text classification model on the 20 Newsgroup dataset
(classification of newsgroup messages into 20 different categories).
GloVe embedding data can be found at:
http://nlp.stanford.edu/... | [
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198,
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257,
12912,
17337,
292,
13302,
6048,
278,
7679,
11,
290,
3544,
340,
284,
201,
198,
27432,
257,
2420,
17923,
... | 2.312018 | 2,205 |
print Solution().sqrt(4) # Output 2
print Solution().sqrt(2) # Output 1
print Solution().sqrt(0) # Output 0
| [
198,
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] | 2.846154 | 39 |
"""Utils
Simple utils python file for handy functions that are needed everywhere in the code.
"""
import asyncio
import calendar
import datetime
import pytz
# import builtins
from functools import wraps
def day_suffix(d:int) -> str:
"""Returns day-suffix 'st', 'nd', 'rd', 'th' for a day of a month.
For ex... | [
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... | 2.471274 | 1,201 |
# coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# 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 applicab... | [
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2,
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11,
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362,
13,
15,
357,
1169,
366,
34156,
4943,
198,
2,
345,
743,... | 2.517408 | 1,034 |
from hydroDL.post import axplot, figplot
from hydroDL.new import fun
from hydroDL.app import waterQuality
import importlib
import matplotlib.pyplot as plt
import numpy as np
import random
import scipy
from scipy.special import gamma
# gamma
fig, ax = plt.subplots(1, 1, figsize=(12, 6))
# kLst = [0.5, 1, 2]
kLst = [50]... | [
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13,
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29487,... | 1.843066 | 548 |
import logging
import yagmail
from jinja2 import Template
from app.settings import settings
logger = logging.getLogger(__name__)
TEMPLATES = {
"verify_account": settings.EMAIL_TEMPLATES_DIR / "verify-account.html",
}
def send_email(to: str, subject: str, contents: str, **kwargs):
"""Sends an email with t... | [
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1362,
7,
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3672,
834,
8,
628,
198,
51,
3620... | 2.55625 | 320 |
import cv2
import numpy as np
__all__ = ['Rain']
| [
11748,
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834,
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] | 2.55 | 20 |
import os
from pyspark import SparkContext
sc = SparkContext()
root_dir = os.path.abspath(os.path.join(os.path.realpath(__file__), '..'))
data_dir = os.path.join(root_dir, "data/datasets")
train_model_dir = os.path.join(root_dir, "data/train_models")
| [
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# -*- coding: utf-8 -*-
import glob
import logging
import time
import argparse
import os.path as osp
from pprint import pformat
from desed.utils import create_folder, modify_jams, change_snr
from desed.post_process import rm_high_polyphony, post_process_txt_labels
from desed.generate_synthetic import SoundscapesGenera... | [
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... | 2.228964 | 1,747 |
supported_api_versions = {'v1': 'http://hn.algolia.com/api/v1/'} | [
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] | 2.285714 | 28 |
# ---------------------------------------------------------------------
# Cleanup SubInterface's is_* indexes
# ---------------------------------------------------------------------
# Copyright (C) 2007-2019 The NOC Project
# See LICENSE for details
# --------------------------------------------------------------------... | [
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# -*- coding: utf-8 -*-
"""
Created on Tue Apr 27 15:24:24 2021
"""
import copy
import numpy as np
import sys
sys.setrecursionlimit(100000)
| [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Feb 26 09:28:49 2021
@author: nathanielgates
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import utilities as util
import feasibility as fs
from gekko import GEKKO
def model(t, plot=False, disp=False, ramp=1, imode=6, no... | [
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632... | 1.666126 | 8,626 |
from sistema import iniciar
iniciar()
| [
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1330,
287,
291,
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from hsi_toolkit.dev.anomaly_detectors.beta_anomaly import *
from hsi_toolkit.dev.anomaly_detectors.fcbad_anomaly import *
from hsi_toolkit.dev.anomaly_detectors.gmrx_anomaly import *
from hsi_toolkit.dev.anomaly_detectors.ssrx_anomaly import *
| [
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... | 2.578947 | 95 |
"""Simple command line utility called `lumi`.
The cli is composed of subcommands that are able to handle different tasks
needed for training and using deep learning models.
It's base subcommands are:
train: For training locally.
cloud: For traning and monitoring in the cloud.
dataset: For modifying and tr... | [
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198,
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33... | 2.987113 | 388 |
from zergmacroplot import app
if __name__ == "__main__":
main()
| [
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198,
220,
220,
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] | 2.535714 | 28 |
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | [
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287,
11846,
351,
262,
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13,
198,
2,
921,
743,
733... | 2.748681 | 2,654 |
import os
import mmap
from multiprocessing.pool import ThreadPool
import numpy as np
import torch
import onir
from onir import pipelines, util, spec
from onir.interfaces import plaintext, trec
logger = onir.log.easy()
@pipelines.register('epic_predict')
| [
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... | 3.185185 | 81 |
# 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
# distributed under the Li... | [
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743,
7330,
198,
2,
257,
4866,
286,
262,
13789,
379,
198,
2,... | 2.329073 | 1,252 |
import sys
sys.path.append(r'C:\repos\compmech')
import numpy as np
from compmech.composite.laminate import read_stack
from compmech.plates import Plate
stack = [-45, +45, 0, 0, -30, +30, +30, -30, 0, 0, +45, -45]
# prop format (E1, E2, nu12, G12, G13, G23)
prop = (152.4e3, 8.8e3, 0.31, 4.9e3, 4.9e3, 4.9e3)
lam = re... | [
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578,
13,
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4559,
1330,
1100,
62,
... | 2.077922 | 231 |
print func(4 * 1000 * 1000)
| [
198,
198,
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7,
19,
1635,
8576,
1635,
8576,
8,
198
] | 2.5 | 12 |
# Generated by Django 2.2.1 on 2019-06-21 13:46
from django.db import migrations, models
| [
2,
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] | 2.84375 | 32 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
| [
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# help(psycopg2.connect) -- create a new database connection
import psycopg2
dbname = '********' #same as user
user = '********' #same as dbbase
password = '********' #don't commit this to github!
host = '********' #from SERVER type this in as string
pg_conn = psycopg2.connect(database=dbna... | [
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796,... | 3.057616 | 1,267 |
#!/usr/bin/env python
import sys
import django
from django.conf import settings
from django.test.utils import get_runner
if __name__ == '__main__':
test_settings = {
'SECRET_KEY': 'test_key',
'DATABASES': {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
... | [
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1330,
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62,
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198,
198,
361,
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367... | 1.976581 | 427 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2018 Alibaba Group Holding Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-... | [
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198,
2,
198,
2,
49962,
739,
262,
24843,
13789,
11,
10628,
36... | 2.891925 | 805 |
from rtree import index
if __name__=="__main__":
node_list=read_graph("out.graph")
corner_list=[]
with open("./points/chicago_gray.txt","r") as f:
for line in f.readlines():
temp=line.strip().split(",")
corner_list.append([int(temp[0]),int(temp[1])])
remove_corne... | [
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4943,
628,
220,
220,
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5228,
... | 2.189873 | 158 |
import Mesh.System.SpaceFactor as SpaceFactor
from MeshTest.AppTestCase import AppTestCase
# Enum Total
# generate()
| [
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220,
220,
220,
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7716,
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198
] | 3.282051 | 39 |
'''
Created on 3 janv. 2022
@author: slinux
'''
import wx
from libs.RVNpyRPC._asset import AssetType
from wxRavenGUI.application.wxcustom.CustomUserIO import UserQuestion
class RavencoreAssetRightclickPopupMenu(object):
'''
classdocs
'''
def __init__(self, parentBinding, parentFrame, assetData... | [
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... | 1.784182 | 746 |
from typing import Dict, List, Optional
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from .matcher import HungarianMatcher
from util import box_ops
class CriterionDETR(nn.Module):
"""This class computes the loss for DETR.
The process happens in two steps:
1) ... | [
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1... | 2.403383 | 2,660 |
import pickle
import logging
from os.path import exists
| [
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18931,
201,
198,
6738,
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201
] | 3.625 | 16 |
import collections
# https://leetcode.com/problems/squares-of-a-sorted-array/discuss/222079/Python-O(N)-10-lines-two-solutions-explained-beats-100
# no algo knowledge needd. will pass bcos max length is 10**4
# and bcos array is almost sorted, so worst case of sorting won't be that slow
# anyway time comple... | [
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1... | 3.062992 | 127 |
import os
import redis
from dotenv import load_dotenv
from telegram import InlineKeyboardButton, InlineKeyboardMarkup
from telegram.ext import Filters, Updater
from telegram.ext import CallbackQueryHandler, CommandHandler, MessageHandler
from textwrap import dedent
from validate_email import validate_email
from molt... | [
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1330... | 2.909091 | 209 |
from .components import *
__all__ = ('Collider', 'Sprite', 'Position', 'Physics', 'Path', 'Input')
| [
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] | 2.783784 | 37 |
import json
import sys
import feedparser
from twisted.python import log
import plugin
# The Feed class handles printing out new entries
# Simple polling class, fetches the feed in a regular intervall and passes
# the information on to the Feed object
# Aggregator class for adding and handling feeds
if __name__... | [
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# -*- coding: utf-8 -*-
# (C) Copyright IBM Corp. 2020.
#
# 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 l... | [
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... | 5.099609 | 512 |
#!/home/remmi/Documents/Django/Awwwards-Clone/env/bin/python3
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
| [
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... | 2.754098 | 61 |
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the PyMVPA package for the
# copyright and license terms.
#
### ### ### ### ###... | [
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15... | 2.625557 | 673 |
from flask import Flask, render_template, redirect, request, jsonify, make_response
from app.models import User, Client, Inventory, Transaction, TransactionDetail
from app import db, app
from app.routes.helper import prepareTransactions, prepareTransactionsTotals
from app.app import getAndPrepareAllClients
import pdfk... | [
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11,
... | 3.53271 | 107 |
# Ω*
# ■ ■■■■■
# ■ ■■ ■■
# ■ ■■ ■
# ■ ■■
# ■■■■■ ■ ■■■
# ■■ ■■ ■ ■■■
# ■■ ■■ ■ ■■■■
# ■■ ■■ ■ ■■■■
# ■■■■■■■■■ ■ ■■■
... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Image Classification Deep Learning Tool.
This script runs trainingsessions to classify image.
Revision History:
2020-07-12 (Animesh): Baseline Software.
Example:
$ python train.py
"""
#___Import Modules:
from _train_test import NNTools
#___Globa... | [
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22... | 2.446602 | 412 |
# Generated by Django 3.1.1 on 2020-09-13 21:03
from django.db import migrations, models
import django.db.models.deletion
| [
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... | 2.818182 | 44 |
# when you import package for the first time, this __init__.py file runs automatically.
print('\nWelcome to my website ;) ', 'https://vixportfoliowithflask.herokuapp.com/skills')
print('\nONLINE MORSE CODE ENCRYPTER AND DECRYPTER : ', 'https://imvickykumar999.github.io/git-bash/')
print('\nUse help(module na... | [
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... | 2.92126 | 127 |
"""
Order Service Runner
Starts the Order service and initializes logging
"""
import os
from app import app, server
# Pull options from environment
DEBUG = (os.getenv('DEBUG', 'False') == 'True')
PORT = os.getenv('PORT', '5000')
######################################################################
# ... | [
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... | 3.504902 | 204 |
from django.shortcuts import render,redirect
from django.http import HttpResponseRedirect
from .models import *
from django.contrib.auth.forms import AuthenticationForm
from django.contrib.auth import login, authenticate, logout
from django.contrib import messages
from .forms import *
from django.contrib.auth.models im... | [
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13... | 3.26875 | 160 |
#!/usr/bin/env python
NXT_TST_INTERVAL = 1
NEW_ROUND_INTERVAL = 2
TOGGLE_INTERVAL = 0.5
from rpiledmatrix import switch_on, switch_off, turn_all_off, cleanup, blink_on, blink_off, LED_INDICES
import time as time
try:
while True:
steady_on_serial()
time.sleep(NXT_TST_INTERVAL)
blink_on_ser... | [
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2... | 2.267016 | 191 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup
from pip.req import parse_requirements
from pip.download import PipSession
import os
def read_requirements():
'''parses requirements from requirements.txt'''
__location__ = os.path.dirname(os.path.realpath(__file__))
reqs_path = o... | [
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13... | 2.622671 | 644 |
from rxbp.acknowledgement.acksubject import AckSubject
from rxbp.acknowledgement.continueack import continue_ack
from rxbp.acknowledgement.stopack import stop_ack
from rxbp.observer import Observer
from rxbp.typing import ElementType
class TObserver(Observer):
""" A test observer that immediately returns a Contin... | [
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import os
from subprocess import STDOUT
from tempfile import TemporaryDirectory
from unittest import mock
from unittest.mock import call
import kubernetes
import pytest
import yaml
from k8s_app_abstraction.models.pod_controllers import (
Daemonset,
Deployment,
Statefulset,
)
from k8s_app_abstraction.model... | [
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... | 2.861345 | 238 |
from setuptools import setup
setup(
name='tweetgetter',
version='0.2',
py_modules=['main'],
include_package_data=True,
install_requires=[
'Click',
'tweepy',
],
entry_points='''
[console_scripts]
tweets=main:run
''',
) | [
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198,
220,
220,
220,
12972,
62,
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28,
17816,
12417,
6,
4357,... | 2.058394 | 137 |
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats
import math
import Calculation
import Terminal
| [
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... | 2.956522 | 46 |
import base64
import os
import time
import sys
import json
import model.player
import model.func
import model.hook
import model.config
# asr model from LingkongRobot
model.hook.add_hook_fast("RRCore.Func.ASR",main) | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Multiply by operation.
"""
def times_by_one(a):
"""Return a * 1.
"""
return a * 1
def times_by_two(a):
"""Return a * 2.
"""
return a * 2
def times_by_three(a):
"""Return a * 3.
"""
return a * 3
def times_by_four(a):
"""Re... | [
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... | 2.087719 | 171 |
#
# For compatibility with Python 2.x and 3.x, we use a specific means of
# setting up an abstract class. See the stackoverflow question at
#
# https://stackoverflow.com/questions/35673474/
# using-abc-abcmeta-in-a-way-it-is-compatible-both-with-python-2-7-and-python-3-5
#
# DO NOT MODIFY THE CODE WITHOUT UNDERSTANDI... | [
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'''
Various utlity functions that are independant of any Django app or
model.
'''
from nturl2path import pathname2url as ntpathname2url
from nturl2path import url2pathname as url2ntpathname
import random
import re
import string
from unicodedata import normalize
from urllib.parse import urljoin, urlparse
from urllib.re... | [
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... | 2.368064 | 2,505 |
from .exogenous import get_exogenous_seasonal_array, \
get_exogenous_seasonal_dct_lst, get_exogenous_seasonal_array_from_dct_lst
| [
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6... | 2.557692 | 52 |
import logging
from .coderack import coderack
from .coderack_pressure import coderack_pressures
from .slipnet import slipnet
from .temperature import temperature
from .workspace import workspace
from .workspace_formulas import workspace_formulas
def run_trial(answers):
"""Run a trial of the copycat algorithm""... | [
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3262,
198,
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764,
11498,
2106... | 2.808451 | 355 |
import pandas as pd
import pickle
import os
import numpy as np
import sys
import UKBB_Func_Final as UKBBFF
from sklearn.metrics import roc_auc_score, make_scorer
# class RunParams:
# #For GBDT runs
# def __init__(self,model_path_name=[],BASIC_PROB_BASED_JOB_NAME=[],num_of_bootstraps=1000):
# print("F... | [
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416... | 1.939158 | 2,827 |
with open('input.txt', 'r') as f:
data = [list(line) for line in f.read().splitlines()]
# part 1
new_data = simulate(data, get_adjacent, 4)
print(sum(line.count('#') for line in new_data))
# part 2
new_data = simulate(data, get_adjacent_line, 5)
print(sum(line.count('#') for line in new_data))
| [
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6615,
3419,
60,
198,
198,
2,
636,
352,
198,
... | 2.571429 | 119 |
from __future__ import print_function
import io
import json
import os
import sys
import time
import struct
if sys.version_info < (3,):
# Python 2
input = raw_input
import config
from .. import appstore
from .. import firmware
from .. import installer
from ..marketserver.server import *
from ..usb import *
from ..us... | [
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11,
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198,
1303,... | 2.625581 | 4,730 |
import datetime
import io
import operator
import os
import re
from zipfile import ZipFile
# def make_entry(entry):
# if isinstance(entry, Entry):
# return entry
# mtime = os.path.getmtime(entry)
# return Entry(entry, mtime)
# handlers = {
# ".zip": (lambda x: None)
# }
# class DirectoryHand... | [
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7,
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198,
2,
220,
220,
220,
220,
611,
318,
39098... | 1.992316 | 2,863 |
import numpy as np
import os
from skimage.feature import hog
from sklearn.svm import LinearSVC
from sklearn.svm import SVC
from sklearn.ensemble import RandomForestClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn import metrics
from sklearn.model_selection import GridSearchCV
from sklearn.met... | [
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35720,
13,
82,
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1330,
311,
15922,
198,
6738,
134... | 2.7984 | 625 |
from .global_scores import global_score_pca, global_score_laplacian
from .local_scores import knn_spearman_r, knn_spearman_r, geodesic_distance
| [
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81,
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638,
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62,
4125,
283,
8... | 2.666667 | 54 |
import setuptools
install_reqs_path = 'environment/install_requirements.txt'
read_me = """ Quantum Hardware Abstraction Layer package. """
about_info = {}
with open("qhal/__about__.py") as f:
exec(f.read(), about_info)
setuptools.setup(
name="qhal",
packages=setuptools.find_packages(include=['qhal', '... | [
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13,
37227,
198,
198,
10755... | 2.651111 | 450 |
lista = [10,20,5,40,10]
soma = 0
for i in range(len(lista)):
soma = soma + lista[i]
print("A soma deu", soma)
| [
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11,
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7,
4868,
64,
8,
2599,
201,
198,
220,
220,
220,
3870,
64,
796,
3870,... | 1.785714 | 70 |
"""
# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | [
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198,
2,
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743,
407,
779,
428,
2393,
2845,
287,
11846,
351,
262,
13... | 2.526949 | 2,245 |
# Licensed to the StackStorm, Inc ('StackStorm') under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use th... | [
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198,
2,
428,
670,
329,
3224,
1321,
5115,
6634,
9238,
13,
198,
2,
383... | 3.662461 | 317 |
print("ALTEREI O PROJETO DO JONATHAN")
| [
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40,
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41,
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198
] | 2.166667 | 18 |