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from setuptools import setup with open('README.md', 'r') as f: long_description = f.read() with open('LICENSE', 'r') as f: license = f.read() setup( name='tensorsim', version='0.0.1', description='Simulate predictions by a simulated accuracy', long_description=long_description, license=li...
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<filename>huskar_api/service/admin/user.py from __future__ import absolute_import import uuid import datetime from flask import abort from werkzeug.security import safe_str_cmp from huskar_api.models import DBSession, cache_manager from huskar_api.models.auth import User from huskar_api.extras.email import deliver_e...
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from unittest import TestCase from conductr_cli.test.cli_test_case import CliTestCase, strip_margin from conductr_cli import conduct_info try: from unittest.mock import patch, MagicMock # 3.3 and beyond except ImportError: from mock import patch, MagicMock class TestConductInfoCommand(TestCase, CliTestCase)...
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import cgi import logging from normality import slugify from followthemoney import model from followthemoney.types import registry from sqlalchemy.dialects.postgresql import JSONB from sqlalchemy.orm.attributes import flag_modified from aleph.core import db, cache from aleph.model.metadata import Metadata from aleph.m...
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<gh_stars>0 from collections import Counter, OrderedDict import argparse import pickle import csv import sys from plotly import graph_objects as go import torch as th from vocab import WordVocab # def parse_args(for_train=True) -> dict: parser = argparse.ArgumentParser() parser.add_argument("-ds", help="pat...
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import operator import numpy as np import bitpacking.packing as pk from boolnet.utils import PackedMatrix FUNCTIONS = { 'add': operator.add, 'sub': operator.sub, 'mul': operator.mul, 'div': operator.floordiv, 'mod': operator.mod, } def to_binary(value, num_bits): # little-endian ret...
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import os import unittest import yaml from io import StringIO from unittest import mock from .. import * from mike import mkdocs_utils class Stream(StringIO): def __init__(self, name, data=''): super().__init__(data) self.name = name def close(self): pass def mock_open_files(files)...
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#!/usr/bin/evn python # -*- coding:utf-8 -*- #python version 2.7.10 from selenium import webdriver import time driver = webdriver.Firefox() driver.get("http://mail.126.com") #设置隐士等待10s driver.implicitly_wait(10) def login(): driver.switch_to.frame("x-URS-iframe") driver.find_element_by_name("email").clear() driv...
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import logging import tensorflow as tf from data_all import get_dataset, get_train_pipeline from training_all import train from model_small import BIGBIGAN_G, BIGBIGAN_D_F, BIGBIGAN_D_H, BIGBIGAN_D_J, BIGBIGAN_E import numpy as np import os from PIL import Image def save_image(img, fname): img = img*255.0 img ...
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<reponame>carolineyuchen/MMRIV import torch, add_path import numpy as np import os,sys from methods.mnist_x_model_selection_method import MNISTXModelSelectionMethod from methods.mnist_xz_model_selection_method import MNISTXZModelSelectionMethod from methods.mnist_z_model_selection_method import MNISTZModelSelectionMeth...
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<filename>agent_reactor.py ''' ''' import threading import time from protocol import State, Direction from facing import Facing from atoms import Position, Velocity, Face from observer import Emitter, Listener, Event from packet_event import PacketEvent class TickEvent(Event): pass class StopEvent(Event): ...
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<gh_stars>0 import time import pytest # preparing selenium and chrome web driver manager from selenium import webdriver from selenium.webdriver.chrome.options import Options from webdriver_manager.chrome import ChromeDriverManager # importing os for environmental variable, and docker-compose up import os @pytest.fi...
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"""Test helpers for Freebox.""" from unittest.mock import patch import pytest @pytest.fixture(autouse=True) def mock_path(): """Mock path lib.""" with patch("homeassistant.components.freebox.router.Path"): yield
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<reponame>kaushnian/TradingView_Machine_Learning<filename>OptimizeLongTakeprofit.py from selenium.common.exceptions import NoSuchElementException, StaleElementReferenceException, TimeoutException from selenium.webdriver.support.ui import WebDriverWait import time import numpy as np from TradeViewGUI import Main from my...
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<filename>src/indor/command_register.py from .indor_exceptions import ClassPropertyNotFound from .command import Command from .command_factory import CommandFactory class CommandRegister(type(Command)): def __init__(cls, name, bases, dic): cls.property_name_for_printer = 'pretty_name' if cls.prop...
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from .conf import MODULES from zcrmsdk.Handler import APIHandler from zcrmsdk.CLException import ZCRMException from zcrmsdk.Utility import APIConstants from zcrmsdk.Request import APIRequest class BlueprintAPI(): def __init__(self): self._MAIN_URL = '{module_api_name}/{record_id}/actions/blueprint' ...
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import pytest from practice_atcoder.typical_ninety.no08code import question class Test(object): @pytest.mark.parametrize("s,expect", [ ("attcoderer", "6"), ("aattccooddeerr", "128"), ("atcoderatcoderatcoderatcoderatcoderatcoderatcoderatcoderatcoder", "6435"), ("<KEY>", "99337"), ...
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<gh_stars>1-10 from django import template from templatetag_sugar.register import tag from templatetag_sugar.parser import * register = template.Library() from pws.models import Entry from pws.forms import EntryForm from django.urls import reverse from django.db.models import Q @tag(register, [Variable(), Constant("...
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from typing import Union, Sized from dataclasses import dataclass from torch.utils.data import Dataset, DataLoader from torch.utils.data import TensorDataset as _TensorDataset from hearth.containers import TensorDict from hearth._collate import default_collate class BatchesMixin: """mixin for supporting batches...
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import os import sys #import json #import datetime #import numpy as np #import skimage.draw # Root directory of the project ROOT_DIR = os.path.abspath("../../") # Import Mask RCNN sys.path.append(ROOT_DIR) # To find local version of the library from mrcnn.config import Config from mrcnn import model as modellib, ut...
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import media import json def read_movies_file(file): movie_file = open(file) # reference to read json file http://stackoverflow.com/a/2835672 with movie_file as data_file: data = json.load(data_file) movies_list = data["movies"] movies = [] for movie in movies_list: movies.append(media.Movie(movie["name"],...
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<gh_stars>1-10 # Licensed to the Apache Software Foundation (ASF) 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")...
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<reponame>aliyyousuff/MOOC # - ProblemSet4.py *- coding: utf-8 -*- """ Problem 4_1: Write a function that will sort an alphabetic list (or list of words) into alphabetical order. Make it sort independently of whether the letters are capital or lowercase. First print out the wordlist, then sort and print out the...
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import os import subprocess import uno import unohelper from com.sun.star.connection import NoConnectException from com.sun.star.lang import IllegalArgumentException class SpreadScript(object): def __init__(self, file_name=None): """Initialise the class. :arg str file_name: File name. ""...
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<filename>api/__init__.py from flask_restplus import Api, Resource from .taskController import * api = Api( version='1.0', title='API', description='api', ) ns = api.namespace('api', description='task api namespace') @ns.route('/tasks') class TaskList(Resource): @api.doc('get all tasks') def get...
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# -*- coding: utf-8 -*- # Copyright 2015 www.suishouguan.com # # Licensed under the Private License (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://github.com/samuelbaizg/ssguan/blob/master/LICENSE # # Unless ...
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#!/usr/bin/python3 # Author: GMFTBY # Time: 2019.9.19 from metric.metric import * import argparse import random from utils import load_word_embedding import pickle from tqdm import tqdm from bert_score import score import ipdb if __name__ == "__main__": parser = argparse.ArgumentParser(description="Evaluate the...
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from .generate_tests import * from .create_cfg import * from .mutation_analysis import *
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# Created by zhouwang on 2018/5/5. from .base import BaseRequestHandler, permission import datetime import pymysql import logging logger = logging.getLogger() def argements_valid(handler, pk=None): error = dict() name = handler.get_argument('name', '') path = handler.get_argument('path', '') comment...
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from dataclasses import dataclass import re enum_count = 0 def iota(reset = False): global enum_count if reset: enum_count = 0 value = enum_count enum_count += 1 return value # Token types PAPER_KW = iota() EXPERIMENT_KW= iota() LET_KW = iota() FOR_KW= iota() PARFOR_KW = iota() LEFT_PAR...
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'CharakterInfo.ui' # # Created by: PyQt5 UI code generator 5.15.6 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. from PyQt5 import QtCore...
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<filename>ts3/filetransfer.py #!/usr/bin/env python3 # The MIT License (MIT) # # Copyright (c) 2013-2018 <see AUTHORS.txt> # # 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 restricti...
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import os import sys from collections import OrderedDict from matplotlib import pyplot as plt from PIL import Image import numpy as np class History(): def __init__(self): self.epoch_log = [] self.batch_log = {} def update_epoch_log(self, log): if type(log) not in [OrderedDict]: ...
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<filename>Download/exercicio028.py #jogo da adivinhação from random import randint from time import sleep computador = randint(0,5) #faz o computador pensar print('\033[;34m-=\033[m' *30) print('\033[;33mVou pensar em um número entre 0 e 5, tente adivinhar...\033[m' ) print('\033[;34m-=\033[m'*30) jogador = int(input('...
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<reponame>NoMigraine/migraine-diary-server """isort:skip_file""" import logging import os import sys BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) sys.path.insert(0, BASE_DIR) from app.db.init_db import init_db # noqa isort:skip from app.db.session import SessionLocal # noqa isort:skip log...
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import cv2 from os.path import basename, isfile, join from loguru import logger from filetype import guess from skimage import exposure from skimage.feature import hog class Image: """ Custom Image class to store more information about the Image wrapper around the openCV image object """ def __...
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__author__ = "<NAME>" __version__ = "1.0" from detectron2.data import MetadataCatalog, DatasetCatalog from detectron2.structures import BoxMode import os import json def get_dataset_dict(json_dir, json_name, destination_image_source_dir=None): 'to convert the output json file into a dictionary digestable by dete...
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<reponame>QTIM-Lab/qtim_gbmSegmenter import argparse import sys from qtim_gbmSegmenter.Config_Library.docker_workflow import full_pipeline, dicom_convert from qtim_gbmSegmenter.Config_Library.docker_wrapper import docker_segmentation class segmenter_commands(object): def __init__(self): parser = argpars...
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<filename>119.pascals-triangle-ii.py # # @lc app=leetcode id=119 lang=python3 # # [119] Pascal's Triangle II # # https://leetcode.com/problems/pascals-triangle-ii/description/ # # algorithms # Easy (45.89%) # Likes: 582 # Dislikes: 182 # Total Accepted: 237.3K # Total Submissions: 515.4K # Testcase Example: '3' ...
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## Use BFS with Queue class Solution: def ladderLength(self, beginWord: str, endWord: str, wordList: List[str]) -> int: word_set = set(wordList) queue = deque([[beginWord, 1]]) while queue: word, seq_len = queue.popleft() if word ==...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated from FHIR 3.6.0-bd605d07 (http://hl7.org/fhir/StructureDefinition/MedicationKnowledge) on 2018-12-20. # 2018, SMART Health IT. from . import domainresource class MedicationKnowledge(domainresource.DomainResource): """ Definition of Medication Knowledg...
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<gh_stars>1-10 #!/usr/bin/env python # -*- coding: utf-8 -*- from __future__ import print_function import sys from workflow.notify import notify from workflow import Workflow GITHUB_SLUG = 'cocobear/alfred-quick-run' def main(wf): import subprocess import yaml import os from subprocess import Popen,...
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<filename>tests/test_students_delete_parametrized.py import unittest from src.students import Students from parameterized import parameterized, parameterized_class from src.exampleData import Data class StudentsParameterizedPackage(unittest.TestCase): def setUp(self): self.tmp = Students(Data().example) ...
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# -*- coding: utf-8 -*- # Реализация вывода текста на окна from curses import color_pair from .wincontent import WinContent class WinText(WinContent): def __init__(self, targeted_window, name, description=''): WinContent.__init__(self, targeted_window, name, description) self.text = '' def new_text(self, text)...
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<gh_stars>1-10 #!/usr/bin/env python # -*- coding: utf-8 -*- # @Date : 2019-09-21 21:04:59 # @Author : <NAME> (<EMAIL>) # @Link : https://github.com/1160300911 # @Version : 1.0s from itertools import accumulate from bisect import bisect_right import random def basic_selection(population): """ ...
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import os import sys import json cfg = xmlsettings.XMLSettings(os.path.join(sys.path[0],'settings.xml')) with open(os.path.join(sys.path[0],'config.json')) as data_file: data = json.load(data_file)
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# coding: utf-8 """ Copyright 2015 SmartBear Software 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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<filename>solver/nmfsvd.py #!/usr/bin/python # -*- coding: utf-8 -*- import logging import numpy def from_positive_part(may_negative): """ >>> from_positive_part(numpy.array([1, -2, 3])) array([ 1., 0., 3.]) """ return (may_negative + abs(may_negative))/2.0 def from_negative_par...
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<filename>LeetCode/Minimum Path Sum.py class Solution: def minPathSum(self, grid: List[List[int]]) -> int: numberOfRows = len(grid) numberOfColumns = len(grid[0]) for row in range(numberOfRows): for col in range(numberOfColumns): if row == 0 and col == 0: ...
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import genprog.core as gp import genprog.evolution as gpevo from typing import Dict, List, Any, Set, Optional, Union, Tuple import numpy as np import vision_genprog.utilities import cv2 import logging possible_types = ['grayscale_image', 'color_image', 'binary_image', 'float', 'int', 'bool', 'vector2...
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#!/usr/bin/env python from . import BaseItem from . import FolderPainter from . import FolderEditor class Delegate (BaseItem.Delegate): def __init__ (self, parent, theme): super(Delegate, self).__init__(parent, theme) self.Item = FolderPainter.Item(theme) def createEditor (self, ...
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import os import sys import math target = 'tagged' pathstump = "/Users/Torri/Documents/Grad stuff/Thesis stuff/Data - Novels/Analysis/" d = {} tokens = 0 types = 0 proportion = 0 shannon = 0 evenness = 0 evenness2 = 0 effective = 0 for dirname, dirs, files in os.walk('.'): if target in dirname: ...
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import pytest from mitmproxy.net.udp import MAX_DATAGRAM_SIZE, DatagramReader @pytest.mark.asyncio async def test_reader(): reader = DatagramReader() addr = ('8.8.8.8', 53) reader.feed_data(b'First message', addr) with pytest.raises(AssertionError): reader.feed_data(bytearray(MAX_DATAGRAM_SIZ...
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<reponame>neuroailab/ffcv from abc import ABCMeta, abstractmethod from contextlib import AbstractContextManager class Benchmark(AbstractContextManager, metaclass=ABCMeta): def __init__(self, **kwargs): pass @abstractmethod def run(self): raise NotImplemented()
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<reponame>nubot-nudt/BCI_Multi_Robot<gh_stars>10-100 # $Id: PlaybackSourceModule.py 2898 2010-07-08 19:09:30Z jhill $ # # This file is part of the BCPy2000 framework, a Python framework for # implementing modules that run on top of the BCI2000 <http://bci2000.org/> # platform, for the purpose of realtime bio...
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<filename>napari_covid_if_annotations/layers.py import h5py import numpy as np import skimage.color as skc from vispy.color import Colormap from .image_utils import (get_centroids, get_edge_segmentation, map_labels_to_edges, quantile_normalize) from .io_utils import has_table, read_image, rea...
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valor = input("Digite algo: ") print("É do tipo", type(valor)) print("Valor numérico:", valor.isnumeric()) print("Valor Alfa:", valor.isalpha()) print("Valor Alfanumérico:", valor.isalnum()) print("Valor ASCII:", valor.isascii()) print("Valor Decimal", valor.isdecimal()) print("Valor Printavel", valor.isprintable())
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import typing from fiepipedesktoplib.locallymanagedtypes.shells.AbstractLocalManagedTypeCommand import LocalManagedTypeCommand from fiepipedesktoplib.shells.AbstractShell import AbstractShell from fiepipehoudini.data.installs import HoudiniInstall from fiepipehoudini.routines.installs import HoudiniInstallsInteractive...
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<gh_stars>0 import pytest import pendulum from elasticsearch.exceptions import NotFoundError from share import models from share.util import IDObfuscator from bots.elasticsearch import tasks from tests import factories def index_helpers(*helpers): tasks.index_model('creativework', [h.work.id for h in helpers]...
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from py_models_parser import parse from simple_ddl_generator import DDLGenerator def test_ddl_from_pydantic_model(): model_from = """class Material(BaseModel): id: int title: str description: Optional[str] link: str = 'http://' type: Optional[MaterialType] additional_properties: Optional[...
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from unittest import TestCase from SumarySearch import utils, bad_chars, stop_words from SumarySearch.models import Book class TestUtils(TestCase): def setUp(self): self.list_of_books = [Book(1, utils.clean_string('The Book in Three Sentences:\u00a0What if we measured our lives based on ', ...
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""" Setting for project """ logfile = "demo_project.log"
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from pathlib import Path from tempfile import TemporaryDirectory from snakemake.shell import shell with TemporaryDirectory(dir=Path.cwd()) as tmpdir: shell("cmscan --rfam --cut_ga --nohmmonly" "--tblout {output[0]} " "{input.rfam_database} " "{input.fasta} " "> {output[1]}"...
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<filename>SlackESPN.py from slackclient import SlackClient from espnff import League import argparse, os, time def handle_command(ARGS, CLIENT, command, channel): """ Receives commands directed at the bot and determines if they are valid commands. If so, then acts on the commands. If not, ...
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# coding=utf-8 # Copyright 2021 The Google Research Authors. # # 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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#!/usr/bin/env python # -*- coding: UTF-8 -*- # # # """ 模块用途描述 Authors: zhangzhenhu Date: 2019/4/8 14:39 """ import pandas as pd import numpy as np import random import argparse from sklearn import preprocessing from sklearn.svm import SVC from sklearn.svm import SVR from sklearn.model_selection import GridSearchC...
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import os import random import torch.utils.data from PIL import Image import albumentations as A import albumentations.pytorch as AT import cv2 class ImgTransformer: def __init__(self, img_size, color_aug=False): self.img_size = img_size self.color_aug = color_aug def transform(self, image,...
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from django.contrib import admin from JobTrak.admin import JobTrakAdmin #from mmg.jobtrak.links.models import * #from mmg.jobtrak.core.models import *
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<filename>legged_gym/envs/pat/pat_IK_config.py<gh_stars>0 # SPDX-FileCopyrightText: Copyright (c) 2021 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: BSD-3-Clause # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the foll...
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** 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...
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# Copyright (c) 2020, <NAME>. # Distributed under the MIT License. See LICENSE for more info. """ Explained variance ================== This example will show the explained variance from a `principal component analysis <https://en.wikipedia.org/wiki/Principal_component_analysis>`_ as a function of the number of princi...
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<gh_stars>1-10 import csv import inspect import os import pathlib import string from collections import defaultdict from pathlib import Path from typing import Any import pytest import rich import typer from hypothesis import given from hypothesis import strategies from hypothesis import strategies as st from hypothes...
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<reponame>juanaugusto/Serializer-Training-GloboNetworkAPI # -*- coding: utf-8 -*- class CookieHandler(object): """This class intends to Handle the cookie field described by the OpenFlow Specification and present in OpenVSwitch. Cookie field has 64 bits. The first 32-bits are assigned to the id ...
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import six import graphene from graphene_django.filter.filterset import setup_filterset, GrapheneFilterSetMixin from graphene_django.registry import get_global_registry from graphql_relay.connection.connectiontypes import Connection, PageInfo, Edge from graphql_relay.connection.arrayconnection import get_offset_...
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<filename>ternary_operator.py<gh_stars>0 a = 7 b = 1 if a >= 5 else 42 print(b)
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# built-in from argparse import REMAINDER, ArgumentParser # app from ..actions import get_python_env, get_resolver from ..config import builders from ..controllers import analyze_conflict from ..models import Requirement from ..package_manager import PackageManager from .base import BaseCommand class PackageInstallC...
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import json from multiprocessing import Pool from random import randint from typing import List, Dict, Callable, Any import numpy as np import os from tqdm import tqdm from pietoolbelt.datasets.common import BasicDataset from pietoolbelt.pipeline.abstract_step import AbstractStep, DatasetInPipeline, AbstractStepDirR...
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<filename>test_all.py<gh_stars>0 import copy import random import unittest from unittest.mock import MagicMock import enemy import tower from extras import Shot from main import towerDefense class GameTest(unittest.TestCase): def tearDown(self): towerDefense._instance = None def test_...
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""" Convert plain text to format accepted by model (token idxs + special tokens). """ import warnings import functools from collections import namedtuple, Counter, OrderedDict import spacy import numpy as np NLP = None def get_spacy(): global NLP if NLP is None: NLP = spacy.load("en_core_web_sm", di...
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<filename>lightning_pass/gui/mouse_randomness.py """Module containing classes used for operations with mouse randomness generation.""" import random import string from typing import Generator, NamedTuple, Optional from PyQt5 import QtCore, QtWidgets class MouseTracker(QtCore.QObject): """This class contains func...
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from BiModNeuroCNN.version import __version__
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# Generated by Django 2.1.5 on 2019-05-04 07:55 import blog.formatChecker from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('blog', '0040_auto_20190504_0840'), ] operations = [ migrations.AlterField( model_name='videos', ...
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<reponame>hkhpub/dstc6-track1<filename>scripts/score.py import json ### The current dialog format ### [{dialog_id : " ", lst_candidate_id: [{candidate_id: " ", rank: " "}, ...]}] def do_parse_cmdline(): from optparse import OptionParser parser = OptionParser() parser.add_option("--input-result-file-te...
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<filename>p3_collab-compet/test_maddpg_agent.py import unittest from model import Actor, Critic from maddpg_agent import MultiAgent import numpy as np from replay_buffer import ReplayBuffer from noise import OUNoise import torch from maddpg_agent_other import MADDPG_Agent from collections import namedtuple class Test...
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<filename>aula07/ex06.py tabuada = int(input("insira um número pra ver sua tabuada: ")) um = tabuada*1 dois = tabuada*2 tres = tabuada*3 quatro = tabuada*4 cinco = tabuada*5 seis = tabuada*6 sete = tabuada*7 oito = tabuada*8 nove = tabuada*9 dez = tabuada*10 print('-' * 12) print('{} x 1 = {}'.format(tabuada, um)) pri...
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<gh_stars>10-100 #!/usr/bin/env python f = open("repair.log", "r"); lines = f.readlines(); cnt = 0; for line in lines: tokens = line.strip().split(); if (len(tokens) > 3): if (tokens[0] == "Total") and (tokens[1] == "return"): cnt += int(tokens[3]); if (tokens[0] == "Total") and (tok...
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# Copyright 2016, 2019 <NAME>. 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 # # https://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or ag...
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import pandas as pd import re import math import os calc_pricing = pd.read_csv("calc_pricing_results.csv") schedule_contracts = pd.read_csv("schedule_contracts_summary.csv") def is_nan(x): try: return math.isnan(x) except: return False def parse_shortened_sin(SIN): if SIN.count(",") > 1: ...
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#!/usr/bin/env python # Copyright: (c) 2020, <NAME> # Apache 2.0 License, http://www.apache.org/licenses/ from __future__ import absolute_import, division, print_function import sys import os import os.path __metaclass__ = type DOCUMENTATION = r""" --- module: python_script short_description: Evaluate python code ...
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import opentracing import logging import time from opentracing import tags from haystack import HaystackTracer from haystack import LoggerRecorder def setup_tracer(): global recorder recorder = LoggerRecorder() # instantiate a haystack tracer for this service and set a common tag which applies to all tra...
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<reponame>jscholes/accessify-prototype from datetime import datetime import logging import os import os.path import platform import sys from appdirs import user_config_dir import tolk import ujson as json import wx from accessify import constants try: from accessify import credentials has_credentials = True ...
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from werkzeug.utils import find_modules, import_string from config import Config from flower_bed_designer import helpers from flower_bed_designer.blueprints.plant import views def register_blueprints(app): for name in find_modules('flower_bed_designer.blueprints', recursive=True): mod = import_string(nam...
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<gh_stars>1-10 """ Proteomics Datatypes """ import logging import re from galaxy.datatypes import data from galaxy.datatypes.binary import Binary from galaxy.datatypes.data import Text from galaxy.datatypes.sequence import Sequence from galaxy.datatypes.sniff import build_sniff_from_prefix from galaxy.datatypes.tabula...
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from flask import Flask, render_template, request from werkzeug.utils import secure_filename from fitparse import FitFile import os import subprocess import json app = Flask(__name__) app.config["UPLOAD_FOLDER"] = "temp/" app.config["MAX_CONTENT_PATH"] = 5000000 @app.route('/') def upload(): return render_templat...
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# -*- coding: utf-8 -*- """ pybitcoin ~~~~~ :copyright: (c) 2014-2016 by Halfmoon Labs, Inc. :license: MIT, see LICENSE for more details. """ import opcodes from .network import broadcast_transaction, send_to_address, get_unspents, \ embed_data_in_blockchain, make_send_to_address_tx, make_op_retu...
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class plural: def __init__(self, value): self.value = value def __format__(self, format_spec): v = self.value singular, sep, plural = format_spec.partition('|') plural = plural or f'{singular}s' if abs(v) != 1: return f'{v} {plural}' return f'{v} {sing...
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<filename>curso em video/python/mundo 1/ex033.py c = int(input('digite o primeiro numero: ')) b = int(input('digite o segundo numero: ')) a = int(input('digite o terceiro numero: ')) cores= {'vermelho': '\033[0;31m', 'azul' : '\033[1;34m', 'zero': '\033[m' } # qual o maior maior = a if b > c and b > a: ...
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from .utils.codeparsers import code_tree from .utils.objecthashers import complex_hasher def determine_metadata(func, args, kwargs, exclusion_list, globals_list, old_version=False): metadata = dict() metadata['func'] = func metadata['args'] = args metadata...
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<reponame>Rohitpandit021/jina import sys import pytest from jina import Document from jina.clients.request import request_generator from jina.proto import jina_pb2 from jina.types.message import Message from jina.types.request import _trigger_fields, Request from jina.enums import CompressAlgo from tests import rando...
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__author__ = '<NAME>' __email__ = '<EMAIL>' __version__ = '0.0.1'
StarcoderdataPython