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# Create your views here. from django.db.models import QuerySet from django.utils.decorators import method_decorator from drf_yasg.utils import swagger_auto_schema from rest_framework import viewsets, status from rest_framework.permissions import IsAuthenticated, AllowAny from rest_framework.response import Response fr...
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# -------------------------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # --------------------------------------------------------------------...
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"""Provides all the data related to the development.""" LICENSES = [ "Apache License, 2.0 (Apache-2.0)", "The BSD 3-Clause License", "The BSD 2-Clause License", "GNU General Public License (GPL)", "General Public License (LGPL)", "MIT License (MIT)", "Mozilla Public License 2.0 (MPL-2.0)", ...
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""" A preliminary attempt at parsing an RST file's math syntax in order to make math render as inline rather than display mode. This doesn't work as of yet but might be useful. It could, however, be not useful if there's a pandoc option for converting .md to .rst that makes math inline and not display. Keeping it arou...
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from layout import Shape, Widget from flash.text.engine import TextBlock, TextElement @package('layout') class Poly(Shape): __slots__ = ('fillcolor', 'sequence') def __init__(self, name, fillcolor, seq, states): super().__init__(name, states) self.fillcolor = fillcolor self.sequence = s...
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import traceback import uuid import socket import logging import os import base64 import zlib import gzip import time import datetime from http import cookies from http.server import BaseHTTPRequestHandler from http.server import HTTPServer from threading import Thread import WebRequest def capture_expected_headers...
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import csv import math import numpy as np import pandas import scipy.optimize import sys import argparse def ineq_constraint_1(v): return np.array([vi for vi in v]) def ineq_constraint_2(v): return np.array([-vi + 30 for vi in v]) class WeightAverage: def __init__(self, mean, csv): self.df = ...
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from ... import _utilities fro...
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import tkinter as tk import tkinter.messagebox from Control import Control class View: def __init__(self, control : Control.Control): self.control = control # Init Window self.root = tk.Tk() self.root.title(u"Header File Generator") self.root.geometry("700x800") se...
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#coding:utf-8 # # id: bugs.core_3355 # title: Wrong comparsion of DATE and TIMESTAMP if index is used # decription: # tracker_id: CORE-3355 # min_versions: ['2.1.5'] # versions: 3.0 # qmid: None import pytest from firebird.qa import db_factory, isql_act, Action # version: 3.0 # resou...
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""" @author: anilkdegala """ import os from airflow import DAG from airflow.operators.bash_operator import BashOperator from airflow.operators.python_operator import PythonOperator, BranchPythonOperator from datetime import date, timedelta, datetime from collections import OrderedDict from scripts.dag_pebbles import ...
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# Copyright 2014 IBM Corp. # # 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, s...
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#!/usr/bin/env python # -*- coding: utf-8 -*- """ Module that contains the command line app. Why does this file exist, and why not put this in __main__? You might be tempted to import things from __main__ later, but that will cause problems: the code will get executed twice: - When you run `python -m nibetaser...
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"""Config flow for SENZ WiFi.""" from __future__ import annotations import logging from typing import Any import voluptuous as vol from homeassistant.components import persistent_notification from homeassistant.data_entry_flow import FlowResult from homeassistant.helpers import config_entry_oauth2_flow from .const ...
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# Licensed under a 3-clause BSD style license - see LICENSE.rst """ Utilities for retrieving revision information from a project's git repository. """ # Do not remove the following comment; it is used by # astropy_helpers.version_helpers to determine the beginning of the code in # this module # BEGIN import locale ...
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'''Test feet admittance control''' from sot_talos_balance.utils.run_test_utils import run_ft_calibration, run_test, runCommandClient try: # Python 2 input = raw_input # noqa except NameError: pass run_test('appli_feet_admittance.py') run_ft_calibration('robot.ftc') input("Wait before running the test") ...
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import os from tendermint.db import VanillaDB from tendermint.utils import home_dir def test_database(): dbfile = home_dir('temp', 'test.db') db = VanillaDB(dbfile) db.set(b'dave',b'one') result = db.get(b'dave') assert(b'one' == result) db.set(b'dave',b'two') result = db.get(b'dave') ...
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from django.test import TestCase from django.test import Client class RegisterTestCase(TestCase): def test_register(self): c = Client() # on success redirects to / response = c.post('/accounts/register/', { 'username': 'asdas', 'password1': 'asdasdasd12', ...
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# # Modified by Peize Sun # Contact: sunpeize@foxmail.com # # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved """ OneNet Transformer class. Copy-paste from torch.nn.Transformer with modifications: * positional encodings are passed in MHattention * extra LN at the end of encoder is removed ...
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"""Various utility functions. .. todo:: Reorganize this package in a more meaningful way. """ from __future__ import print_function from __future__ import absolute_import # from builtins import str # from builtins import range import torch from torch.nn.parameter import Parameter from torch.autograd import Variab...
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""" ================================== Reading and writing an evoked file ================================== This script shows how to read and write evoked datasets. """ # Author: Alexandre Gramfort <alexandre.gramfort@inria.fr> # # License: BSD (3-clause) from mne import read_evokeds from mne.datasets import sample ...
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# A part of NonVisual Desktop Access (NVDA) # Copyright (C) 2021 NV Access Limited # This file is covered by the GNU General Public License. # See the file COPYING for more details. from . import wxMonkeyPatches applyWxMonkeyPatches = wxMonkeyPatches.apply def applyMonkeyPatches(): # Apply several mon...
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from .common import InfoExtractor from ..compat import compat_str from ..utils import ( ExtractorError, int_or_none, float_or_none, smuggle_url, str_or_none, try_get, unified_strdate, unified_timestamp, ) class NineNowIE(InfoExtractor): IE_NAME = '9now.com.au' _VALID_URL = r'ht...
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import torch from torch.autograd import Variable from torch.autograd.function import Function, once_differentiable import apex_C def check_contig_cuda(tensors, names): for tensor, name in zip(tensors, names): if not tensor.is_contiguous(): raise RuntimeError(name+" with size {} is not contiguou...
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""" Module holds all stuff regarding Grinder tool usage Copyright 2015 BlazeMeter Inc. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless require...
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import getopt import sys comment = ('#' + sys.argv[1]).encode() opts, args = getopt.getopt(sys.argv[2:], 'cf:o:xy') optstring = '' length = len(comment) for opt, arg in opts: if opt == '-o': out = arg elif opt not in ('-f', '-K'): optstring = optstring + ' ' + opt infile = open(args[0], 'rb') outfile = open(out...
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import io import os import base64 from pathlib import Path from nbconvert import filters from pygments.formatters.latex import LatexFormatter from zen_knit import formattor from zen_knit.data_types import ChunkOption, ExecutedData, OrganizedChunk, OrganizedData from zen_knit.formattor.html_formatter import HTMLFormat...
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#!/usr/bin/env python # coding: utf-8 import sys import pybullet from qibullet.camera import * from qibullet.link import Link from qibullet.joint import Joint IS_VERSION_PYTHON_3 = sys.version_info[0] >= 3 class RobotVirtual: """ Mother class representing a virtual robot """ def __init__(self, desc...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import os import pytest import json from kafkacli.formatter import Formatter sampleJson = json.loads('{"a":"s", "b":1}') def test_print_default(capsys): Formatter().print(sampleJson) captured = capsys.readouterr() assert captured.out == '{"a": "s", "b": 1}\n...
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from django import forms from .models import Application class ApplicationForm(forms.ModelForm): class Meta: model = Application fields = ('resume', 'cover_letter',)
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# ---------------------------------------------------------------------------- # CLASSES: nightly # # Test Case: protocolo.py # # Tests: vistprotocol unit test # # Mark C. Miller, Tue Jan 11 10:19:23 PST 2011 # ---------------------------------------------------------------------------- tapp = visit_bin_path(...
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import libtcodpy as libtcod from random import randint nSquares = 30 nTiles = nSquares * 2 + 1 SCREEN_WIDTH = nTiles SCREEN_HEIGHT = nTiles libtcod.console_set_custom_font("cp437_12x12.png", libtcod.FONT_LAYOUT_ASCII_INROW) libtcod.console_init_root(SCREEN_WIDTH, SCREEN_HEIGHT, 'pyMazeBacktrack', False, li...
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# ###################################################################################################################### # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # # ...
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"""Auto-generated file, do not edit by hand. AG metadata""" from ..phonemetadata import NumberFormat, PhoneNumberDesc, PhoneMetadata PHONE_METADATA_AG = PhoneMetadata(id='AG', country_code=1, international_prefix='011', general_desc=PhoneNumberDesc(national_number_pattern='(?:268|[58]\\d\\d|900)\\d{7}', possible_l...
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##################################################################### ## ## gradefiles-send.py ## ## Script to send grade files by email to enrolled students; the ## input grade file names should correspond to the user names of ## the students. ## ## from email.mime.text import MIMEText # For creating a message...
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import os import pickle import tensorflow as tf import wolframclient.serializers as wxf name = 'karras2018iclr-celebahq-1024x1024' file = open(name + '.pkl', 'rb') sess = tf.InteractiveSession() G, D, Gs = pickle.load(file) saver = tf.train.Saver() save_path = "./target/" + name + "/" model_name = 'model' if not os.pa...
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#!/usr/bin/env python import os import os.path import yaml import time import random import multiprocessing import RPi.GPIO as GPIO from talk import say GPIO.setwarnings(False) GPIO.setmode(GPIO.BCM) from adafruit_servokit import ServoKit Motor1 = {'EN': 27, 'input1': 19, 'input2': 16} Motor2 = {'EN': 22, 'input1': 2...
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from uuid import uuid4 from sqlalchemy import Index, Column, Text, Table, ForeignKey from sqlalchemy.orm import object_session from onegov.core.orm import Base from onegov.core.orm.types import UUID spoken_association_table = Table( 'spoken_lang_association', Base.metadata, Column( 'translator_i...
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# 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, s...
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# # For licensing see accompanying LICENSE file. # Copyright (C) 2022 Apple Inc. All Rights Reserved. # from torch.nn import functional as F from torch import Tensor import argparse from . import register_classification_loss_fn from .. import BaseCriteria @register_classification_loss_fn(name="binary_cross_entropy"...
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""" Insertion Sort Algorithm:""" """Implementation""" def insertion_sort(arr) -> list: n = len(arr) for i in range(1, n): swap_index = i for j in range(i-1, -1, -1): if arr[swap_index] < arr[j]: arr[swap_index], arr[j] = arr[j], arr[swap_index] swa...
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# -*- coding: utf-8 -*- # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*- # vi: set ft=python sts=4 ts=4 sw=4 et: """Top-level namespace for spm.""" from .base import (Info, SPMCommand, logger, no_spm, scans_for_fname, scans_for_fnames) from .preprocess import (FieldMap, Slic...
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import numpy as np from mathUtils import * class Network(object): """ Model for a feedforward Neural Network that use backpropagation with stochastic gradient decent. """ def __init__(self, layerSizes, biasVectors, weightMatrices): """ Initialise the network with a list of layer sizes ...
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from datetime import datetime from marquez_airflow import DAG from airflow.operators.postgres_operator import PostgresOperator from airflow.utils.dates import days_ago default_args = { 'owner': 'datascience', 'depends_on_past': False, 'start_date': days_ago(1), 'email_on_failure': False, 'email_on_...
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# store information about a pizza being ordered pizza = { 'crust': 'thick', 'toppings': ['mushrooms', 'extra vegan cheese'] } # summarize the order print("You ordered a " + pizza['crust'] + "-crust pizza" + "with the following toppings:") for topping in pizza['toppings']: print("\t" + topping)
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a = float(input('Qual é o preço do produto? R$')) d = a - (a * 23 / 100) print('O produto que custava R${:.2f}, na promoção de 23% de desconto vai custar: R${:.2f}' .format(a, d))
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# Submit a function to be run either locally or in a computing cluster. # Compared to original StyleGAN implementation, we extend the support for automatic training resumption, # and network recompilation. import copy import inspect import os import pathlib import pickle import platform import pprint import re import s...
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#!/usr/bin/env python # coding=utf-8 from pyecharts.option import grid class Grid(object): def __init__(self): self._chart = None self._js_dependencies = set() def add(self, chart, grid_width=None, grid_height=None, grid_top=None, grid_bottom=...
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import logging from .endpoint import ask def send_message(user_id, message, sent_by_maker=True): if not valid_args(user_id, message): logging.warning("send message called with invalid args user_id={} message={}".format(user_id, message)) return logging.debug("Sending message: user_id={0} mes...
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import keras from keras.models import load_model from PIL import Image import matplotlib.pylab as plt import numpy as np import zipfile print("Extract") zip_ref = zipfile.ZipFile("./asset.zip", 'r') zip_ref.extractall(".") zip_ref.close() print("Load Model") model=load_model("cifar-model.h5") CIFAR_10_CLASSES=["Plane",...
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""" tt URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.1/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based vi...
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import os import click os.environ["GIT_PYTHON_REFRESH"] = "quiet" @click.group() def git(): pass
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import glob import os def main(): os.chdir("F:/Downloads") extensions = ["*.jpg_large", "*.png_large", "*.jpg_orig"] file_list = list() for extension in extensions: file_list = file_list + glob.glob(extension) for file in file_list: for extension in extensions: new_ex...
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import numpy as np import pandas as pd import seaborn as sns import matplotlib.pyplot as plt from sklearn.metrics import classification_report #EVERY TIME THE DATASET IS RETRIEVED FROM GITHUB input_file = 'https://raw.githubusercontent.com/lcphy/Digital-Innovation-Lab/master/bank-full.csv' dataset = pd.read_csv(input...
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# Copyright 2015-2018 Capital One Services, 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 ...
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# Copyright 2016 Intel Corporation # Copyright 2017 Wind River # 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 applica...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ STEP 2 Takes the list of urls in the json files and downloads the html files to local drive Start with: scrapy runspider ReviewsCollector.py """ import scrapy import json class ReviewsCollector(scrapy.Spider): def start_requests(self): with open("data/b...
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from abc import ABC, abstractmethod from .color import Color class LightSystem(ABC): @classmethod def __subclasshook__(cls, subclass): return (hasattr(subclass, 'set_transition_time') and callable(subclass.set_transition_time) and hasattr(subclass, 'discover_lights') ...
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import random class Family: def __init__(self,first, last, hair): self.first = first self.last = last self.hair = hair def fullname(self): return '{} {}'.format(self.first,self.last) def eyefind(self): temp = random.choice([1,2]) #using the punnet square...
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""" homeassistant.components.device_tracker.owntracks ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ OwnTracks platform for the device tracker. For more details about this platform, please refer to the documentation at https://home-assistant.io/components/device_tracker.owntracks/ """ import json import logging im...
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#!/usr/bin/env python # -*- coding:utf-8 -*- # Created by Roger on 2019-09-10 # Mostly by AllenNLP import logging import math from typing import Any, Dict, List, Optional, Tuple import torch import torch.nn.functional as F from allennlp.data import Vocabulary from allennlp.models.model import Model from allennlp.mod...
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""" Given 3 bottles of capacities 3, 5, and 9 liters, count number of all possible solutions to get 7 liters """ current_path = [[0, 0, 0]] CAPACITIES = (3, 5, 9) solutions_count = 0 def move_to_new_state(current_state): global solutions_count, current_path if 7 in current_state: solutions_co...
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# Copyright 2019 Extreme Networks, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to i...
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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may ...
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# -*- coding: utf-8 -*- """ test_simple_compression ~~~~~~~~~~~~~~~~~~~~~~~~~ Tests for compression of single chunks. """ import brotli import pytest from hypothesis import given from hypothesis.strategies import binary, integers, sampled_from, one_of def test_roundtrip_compression_with_files(simple_compressed_fil...
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from decimal import Decimal class Ticker(object): def __init__( self, high: float, low: float, avg: float, vol: float, vol_cur: int, last: float, buy: float, sell: float, updated: int, ): ...
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from scryptos import * p1 = 32581479300404876772405716877547 p2 = 27038194053540661979045656526063 p3 = 26440615366395242196516853423447 n = p1*p2*p3 e = 3 c = int(open("flag.enc", "rb").read().encode("hex"), 16) # from User's Guide to PARI/GP, nth_root function sqrtnall = 'sqrtnall(x,n)={my(V,r,z,r2);r=sqrtn(x,n,&z...
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# -*- coding: utf-8 -*- # Generated by Django 1.11 on 2018-03-29 06:43 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion import musa.models class Migration(migrations.Migration): initial = True dependencies = [...
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# Copyright 2021, Kay Hayen, mailto:kay.hayen@gmail.com # # Part of "Nuitka", an optimizing Python compiler that is compatible and # integrates with CPython, but also works on its own. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in complianc...
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import math from sys import exit # итак, n - приблизительное число элементов в массиве, P - вероятность ложноположительного ответа, тогда размер # структуры m = -(nlog2P) / ln2 (2 - основание), количество хеш-функций будет равно -log2P # хеш-функции используются вида: (((i + 1)*x + p(i+1)) mod M) mod m,где - x - ключ,...
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"""A test that subscribes to NumPy arrays. Uses REQ/REP (on PUB/SUB socket + 1) to synchronize """ #----------------------------------------------------------------------------- # Copyright (c) 2010 Brian Granger # # Distributed under the terms of the New BSD License. The full license is in # the file COPYING.BSD...
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import sqlite3 con = sqlite3.connect(":memory:") # enable extension loading con.enable_load_extension(True) # Load the fulltext search extension con.execute("select load_extension('./fts3.so')") # alternatively you can load the extension using an API call: # con.load_extension("./fts3.so") # disable extension load...
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# Lint as: python3 # Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless ...
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#! usr/env/bin python import glob import numpy as np import pandas as pd from tqdm import tqdm def main(): # Fetch File Paths file_paths = glob.glob(r'./data/raw/ucr/hc_count_by_place/*.xls') # Sort them according to year file_paths.sort(key = lambda x: int(x[-8:-4])) # Create a result dataframe ...
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# pylint: disable=no-self-use,invalid-name import numpy as np from numpy.testing import assert_almost_equal import torch from allennlp.common import Params from allennlp.data import Vocabulary from allennlp.modules.token_embedders import BagOfWordCountsTokenEmbedder from allennlp.common.testing import AllenNlpTestCase ...
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import argparse import logging import multiprocessing as mp import logging import os from detectron2.evaluation import inference_context import torch import torch.distributed as dist import torch.multiprocessing as mp from detectron2.utils.collect_env import collect_env_info from detectron2.utils.logger import setup_lo...
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import numpy as np # from sklearn.ensemble import BaggingClassifier # from sklearn.tree import DecisionTreeClassifier from sklearn.neighbors import KNeighborsClassifier from sklearn.utils.validation import ( check_X_y, check_array, NotFittedError, ) from sklearn.utils.multiclass import check_classificati...
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# Tumblr Setup # Replace the values with your information # OAuth keys can be generated from https://api.tumblr.com/console/calls/user/info consumer_key='ShbOqI5zErQXOL7Qnd5XduXpY9XQUlBgJDpCLeq1OYqnY2KzSt' #replace with your key consumer_secret='ulZradkbJGksjpl2MMlshAfJgEW6TNeSdZucykqeTp8jvwgnhu' #replace with your sec...
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from django.contrib import admin from django.contrib.auth.models import Group from accounts.models import EmailUser from shared.admin import ExportCsvMixin # no need for groups - we only have regular users and superusers admin.site.unregister(Group) @admin.register(EmailUser) class EmailUserAdmin(ExportCsvMixin, adm...
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import hashlib import hmac import logging import time from json.decoder import JSONDecodeError from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple from urllib.parse import urlencode import requests from rotkehlchen.assets.asset import Asset from rotkehlchen.assets.converters import asset_from_coinbase ...
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# -*- coding: utf-8 -*- """ ldap.controls.deref - classes for (see https://tools.ietf.org/html/draft-masarati-ldap-deref) See https://www.python-ldap.org/ for project details. """ __all__ = [ 'DEREF_CONTROL_OID', 'DereferenceControl', ] import ldap.controls from ldap.controls import LDAPControl,KNOWN_RESPONSE_CO...
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import requests import urllib.request import os.path import shutil import csv def main(): with open("data.csv") as i: #Open the data.csv file instances = i.readlines() #Write them into memory instances = [x.strip() for x in instances] #Strip any weird issues from writing instances.sort() #Sort t...
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class Solution: """ @param s: a string @param t: a string @return: true if they are both one edit distance apart or false """ def isOneEditDistance(self, s, t): # write your code here if s == t: return False if abs(len(s) - len(t)) > 1: return Fal...
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from __future__ import absolute_import import signal import tornado.ioloop import logging from .protocol import ( Error, unpack_response, decode_message, valid_topic_name, valid_channel_name, identify, subscribe, ready, finish, touch, requeue, nop, pub, mpub, ...
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import get_data_ours import get_data_akiba import get_data_NearLinear import get_data_LinearTime import os import matplotlib.pyplot as plt # graphs = ["uk-2002", "arabic-2005", "gsh-2015-tpd", "uk-2005", "it-2004", "sk-2005", "uk-2007-05", "webbase-2001", "asia.osm", "road_usa", "europe.osm", "rgg_n26_s0", "RHG-10000...
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import configparser import sys import inspect from argparse import ArgumentParser, RawDescriptionHelpFormatter def opt(*args, **kwargs): def decorator(method): if not hasattr(method, 'options'): method.options = [] method.options.append((args, kwargs)) return method return...
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#%% Import libs import numpy as np from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import cross_validate from sklearn.metrics import make_scorer, accuracy_score, precision_score, recall_score, f1_score import h5py import time from ssccoorriinngg import ssccoorriinngg import numpy as np ...
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""" Main BEHAVIOR demo collection entrypoint """ import argparse import copy import datetime import os import bddl import numpy as np import igibson from igibson.activity.activity_base import iGBEHAVIORActivityInstance from igibson.render.mesh_renderer.mesh_renderer_cpu import MeshRendererSettings from igibson.rende...
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from django.utils.text import slugify from django.utils.html import format_html class MenuItem(object): def __init__(self, label, url, name=None, classnames='', order=1000): self.label = label self.url = url self.classnames = classnames self.name = (name or slugify(unicode(label)))...
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# Generated by Django 2.1.5 on 2019-03-26 11:35 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] ope...
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from my_collection import logger if __name__ == "__main__": logger.now().debug("debug1") logger.now().debug("debug2") logger.now().info("hello1") logger.now().info("hello2") logger.now().with_field("key", "val").error("with field1") logger.now().with_field("key", "val").error("with field2")
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import argparse from robotremoteserver import RobotRemoteServer from .iperf3 import Iperf3 if __name__ == '__main__': # create commandline parser parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter) parser.prog = 'python3 -m robotframework_iperf3' # add parser opt...
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df8.cbind(df9) # A B C D A0 B0 C0 D0 # ----- ------ ------ ------ ------ ----- ----- ----- # -0.09 0.944 0.160 0.271 -0.351 1.66 -2.32 -0.86 # -0.95 0.669 0.664 1.535 -0.633 -1.78 0.32 1.27 # 0.17 0.657 0.970 -0.419 -1.413 -0.51 0.64 -1.25 # 0.58 -0.516 -1.598 -1.346 0.71...
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#!/usr/bin/env python3 # -*- encoding: utf-8 -*- from collections import abc from keyword import iskeyword class FronzenJSON: def __init__(self, mapping): self._data = {} for key, value in mapping.items(): if iskeyword(key): key += '_' # self._data = di...
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"""The Tag problem. Implemented according to the paper `Anytime Point-Based Approximations for Large POMDPs <https://arxiv.org/pdf/1110.0027.pdf>`_. Transition model: the robot moves deterministically. The target's movement depends on the robot; With Pr=0.8 the target moves away from the robot, and with P...
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# MIT License # # Copyright (c) 2019 Red Hat, Inc. # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge,...
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#!/usr/bin/env python from ndarray_ducktypes.ArrayCollection import ArrayCollection from ndarray_ducktypes.MaskedArray import MaskedArray from ndarray_ducktypes.MaskedArrayCollection import MaskedArrayCollection import numpy as np # Tests for Masked ArrayCollections. # # First try: Simply make an arraycollection of Ma...
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# Generated by the protocol buffer compiler. DO NOT EDIT! # source: core.proto import sys _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1')) from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflecti...
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from neomodel import StructuredNode, StringProperty, JSONProperty, \ Relationship, IntegerProperty import numpy as np import re from models.text_relation import TextRelation __all__ = ['TextNode'] class TextNode(StructuredNode): order_id = IntegerProperty(required=True, unique_index=True) ...
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import unittest from .helpers import StubBoard, StubPiece, C, WHITE, BLACK class TestBishopGenerate(unittest.TestCase): def get_bishop(self, board, team, position): from chess.models import Bishop return Bishop(board, team, position) def compare_list(self, expected, results): compared ...
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