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from aerosandbox.common import ExplicitAnalysis import aerosandbox.numpy as np import subprocess from pathlib import Path from aerosandbox.geometry import Airplane from aerosandbox.performance import OperatingPoint from typing import Union, List, Dict import tempfile import warnings class AVL(ExplicitAnalysis): "...
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<filename>scanpy/external/pp/_harmony_integrate.py """ Use harmony to integrate cells from different experiments. """ from typing import Optional from anndata import AnnData def harmony_integrate( adata: AnnData, key: str, basis: str = "X_pca", adjusted_basis: str = "X_pca_harmony", **kwargs, ):...
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from LECA.consensus import consensus_ages import cPickle as pickle import sys, os ### This program will create the consensus (mode) age calls ### by trimming databases that oversplit co-orthologous groups. ### ### **Note: if this script does not find the file LDORESULTS, it will ### silently calculate a consensus wit...
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<reponame>camille1874/FinQA #coding:utf8 import jieba import jieba.posseg as pseg import os,sys ''' initialize jieba Segment ''' def jieba_initialize(): jieba.load_userdict(os.path.dirname(os.path.split(os.path.realpath(__file__))[0])+'/resources/QAattrdic.txt') jieba.initialize() ''' Segment words by jieba...
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# coding=UTF-8 # ex:ts=4:sw=4:et=on # Copyright (c) 2013, <NAME> # All rights reserved. # Complete license can be found in the LICENSE file. __version__ = "0.8.4"
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from decimal import Decimal class TradeResult(object): def __init__( self, received: float, remains: float, order_id: int, funds: {}, ): self.received = received self.remains = remains self.order_id = order_id self.fun...
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# coding: utf-8 from __future__ import unicode_literals import logging from wxpy.utils import handle_response from .chat import Chat logger = logging.getLogger(__name__) class User(Chat): """ 好友(:class:`Friend`)、群聊成员(:class:`Member`),和公众号(:class:`MP`) 的基础类 """ def __init__(self, raw, bot): ...
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""" Start local development server """ import argparse import logging import shlex import subprocess import webbrowser from contextlib import suppress from http.server import HTTPServer, SimpleHTTPRequestHandler from pathlib import Path from ssl import wrap_socket from tempfile import NamedTemporaryFile from threading ...
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<reponame>Anancha/OpenCV-Python-Tutorial # -*- coding: utf-8 -*- # @Time : 2017/7/17 下午12:03 # @Author : play4fun # @File : 画圆圈.py # @Software: PyCharm """ 画圆圈.py:随机覆盖,不同颜色, """ from time import sleep import cv2 import numpy as np def click_event(event, x, y, flags, param): ''' 用左键点击屏幕,打印坐标 :param...
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<filename>adv/zace.py from core.advbase import * from slot.d import * from slot.a import * def module(): return Zace class Zace(Adv): a1 = ('s',0.2) conf = {} conf['slots.a'] = Resounding_Rendition()+Jewels_of_the_Sun() conf['acl'] = """ `dragon `s3, not self.s3_buff `s1 ...
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<gh_stars>0 # Creating a program that uses the min() without using the min() function. Without knowing the user inputted values of num1 and num2, create a program that outputs the lower value without using the min() num1 = int(input('Enter a value: ')) num2 = int(input('Enter a value: ')) if num1 <= num2: print(n...
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import pandas as pd import itertools cat_features = ['col1', 'co2', 'col3', 'col4', 'col5'] def combine_colums(df, cat_features) df_combine = pd.DataFrame(index=df.index) for colA, colB in itertools.combinations(cat_features, 2): new_col_name = '_'.join([colA, colB]) ...
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<filename>blog_app/api/errors/invalid_arguments_for_creation_error.py class InvalidArgumentsForCreationException(Exception): code = 422 def __init__(self, errors): Exception.__init__(self) self.errors = errors def to_dict(self): return { "success": False, "e...
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<filename>Deployment Files/WeatherWear/Combos/views.py from django.shortcuts import render from django.http import HttpResponseRedirect from django.urls import reverse from . import WeatherWear as ww import tensorflow as tf import requests, ast from users.models import UserProfile from os import path from google.cloud ...
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value = "not-none" <caret>if value is None: print("None") else: print("Not none")
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from django.shortcuts import render from django.contrib.auth.models import User, Group from .models import Pytanie from rest_framework import viewsets from rest_framework import permissions from .serializers import UserSerializer, GroupSerializer,PytanieSerializer # Create your views here. class UserViewSet(viewsets.M...
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""" Code that goes along with the Airflow located at: http://airflow.readthedocs.org/en/latest/tutorial.html """ from airflow import DAG from airflow.operators.bash_operator import BashOperator from airflow.operators.python_operator import PythonOperator from taxi import get_taxi_data, transform_taxi_data, load_taxi_da...
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# <NAME> # 1351040 import numpy as np import cv2 class LBP: def compute(self, img, keypoints): img = np.asarray(img) img = (1 << 7) * (img[0:-2, 0:-2] >= img[1:-1, 1:-1]) \ + (1 << 6) * (img[0:-2, 1:-1] >= img[1:-1, 1:-1]) \ + (1 << 5) * (img[0:-2, 2:] >= img[1:-1, 1:-1]) \ ...
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"""Aula 7 - Operadores aritméticos. + = Soma - = Subtração * = Multiplicação / = Divisão ** = Potenciação // = Divisão Inteira % = Resto da Divisão Ordem de Precedência dos Operadores 1° = () 2° = ** 3° = *, /, //, % 4° = +, - Dica: end = '' (não quebra a linha) \n (Quebra a linha)""" ...
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import os import re import sys, time import numpy as np final=''#global vars to save results of op fresult=''#global vars to save results of for fcall=''#global vars to save results of call def check(newcontext): nc=newcontext #TODO:cannot deal with multiple problems,need help lk=nc.count('(') rk=nc.count(')') l...
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import boto3 from EOSS.aws.utils import dev_client, prod_client, user_input, pprint class Cluster: def __init__(self, dev=False): if dev: self.client = dev_client('ecs') else: self.client = prod_client('ecs') self.cluster_name = 'evaluator-cluster' def get...
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import signnow import json if __name__ == "__main__": signnow.Config( client_id="0fccdbc73581ca0f9bf8c379e6a96813", client_secret="<KEY>", base_url="https://api-eval.signnow.com", ) # Enter your own credentials username = "" password = "" # Create the access_token for ...
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<filename>3rdparty/pymdown-extensions/tools/gen_gemoji.py """Generate gemoji data.""" import sys import os import json current_dir = os.path.dirname(os.path.abspath(__file__)) U_JOIN = 0x200d U_VARIATION_SELECTOR_16 = 0xfe0f U_EXTRA = (U_JOIN, U_VARIATION_SELECTOR_16) if sys.maxunicode == 0xFFFF: # For ease of su...
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<gh_stars>1-10 from .base import AST from .nodes import * from .suite import *
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<filename>achievements/admin.py from models import Achievement, Category, Trophy, CollectionAchievement, Progress, ProgressAchievement, Task, TaskAchievement, TaskProgress from django.contrib import admin from django import forms from django.core.exceptions import ValidationError from django.contrib.admin.widgets impor...
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print(Hello world )
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# =========================================================== # File Name: pixel_distance.py # Author: <NAME>, Georgia Institute of Technology # Creation Date: 04-25-2019 # # This file is made available under # the terms of the BSD license (see the COPYING file). # ===============================================...
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<filename>tests/test_entropy_encoders/test_arithmetic_coding.py from typing import List, Sequence import hypothesis.strategies as st from entropy_encoders import arithmetic_coding from hypothesis import given EOF = "\n" text_strategy = st.text(st.characters(blacklist_characters=EOF), max_size=...
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<filename>Utils/custom_data_augmenter.py<gh_stars>1-10 from keras.preprocessing.image import ImageDataGenerator import numpy as np def rotate_segmentation_data(images, masks, percent): num_of_images = images.shape[0] # include the origional instances to the final list of augmented data images_rotated, mask...
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import torch import torch.nn as nn import torch.optim as optim import torch.nn.functional as F import torch.backends.cudnn as cudnn from torch.optim.lr_scheduler import StepLR import torchvision import torchvision.transforms as transforms from torchvision import models import tensorly as tl import tensorly from itert...
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<gh_stars>1-10 """ Useful semantics "macro" instructions built on top of the primitives. """ from __future__ import absolute_import from cdsl.operands import Operand from cdsl.typevar import TypeVar from cdsl.instructions import Instruction, InstructionGroup from base.types import b1 from base.immediates import imm64 f...
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from player import Player class Batter(Player): ''' A batter and all of his stats as collected from various means and manipulated in the base Player class most likely ''' def __init__(self, name, name_display, id): """ Return a batter object :param name: :param name_...
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<reponame>raza-al-pakistani/raza-al-pakistani--v20022.3.1 # A part of NonVisual Desktop Access (NVDA) # This file is covered by the GNU General Public License. # See the file COPYING for more details. # Copyright (C) 2007-2021 NV Access Limited, Babbage B.V. from typing import Dict from utils.displayString import Dis...
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import pygame class Score(): """表示分数的类""" def __init__(self, init_settings, screen): """导入屏幕和设定""" self.screen = screen self.init_settings = init_settings """导入图片资源""" self.images = [ pygame.image.load('resources/sprites/font_048.png'), ...
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# -*- coding: utf-8 -*- """ reNamer, Author <NAME>(https://github.com/Eshleron/reNamer) Requirements: - json - os - pathlib - random - sys - time - PyQt5 Python: - 3.5.4 This file (reName.py) is part of reNamer. """ import json import os from pathlib import Path import random import sys import time...
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<filename>examples/distributed_dl/distributed_ml.py from ray_on_aml.core import Ray_On_AML from azureml.core import Run import numpy as np import torch import torch.optim as optim import torch.nn as nn from torchvision import datasets, transforms from torch.utils.data import DataLoader import torch.nn.functional as F ...
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from celery.utils.log import get_task_logger from wikimetrics.api import CohortService from report import ReportNode from metric_report import MetricReport __all__ = ['MultiProjectMetricReport'] task_logger = get_task_logger(__name__) class MultiProjectMetricReport(ReportNode): """ A node responsbile for r...
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#!/usr/bin/env python # -*- coding: utf-8; mode: python; -*- """Module providing access to third party resources. Attributes: LCSI (dict): mapping from verb to a set of classes BROWN_CLUSTERS (dict): mapping from word to a set of Brown clusters CONNS (set): set of explcit connectives CONNTOK2CONN (defaul...
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import collections import gym import numpy as np import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim USE_WANDB = False # if enabled, logs data on wandb server class ReplayBuffer: def __init__(self, buffer_limit): self.buffer = collections.deque(maxlen=buffer_li...
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<gh_stars>0 import os import unittest import k3ut import k3utfjson import json dd = k3ut.dd this_base = os.path.dirname(__file__) class TestUTFJson(unittest.TestCase): def test_load(self): self.assertEqual(None, k3utfjson.load(None)) self.assertEqual({}, k3utfjson.load('{}')) # load u...
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<reponame>robert-giaquinto/survae_flows import argparse import pickle import numpy as np import torch from sklearn.gaussian_process import GaussianProcessRegressor from sklearn.gaussian_process.kernels import DotProduct, WhiteKernel from sklearn.gaussian_process.kernels import RBF, ConstantKernel, Matern from model.u...
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from flask import Flask, render_template app = Flask(__name__) @app.route('/') def hello_world(): context = { 'text': 'hello zhiliao, hello ketang' } return render_template('index.html', **context) @app.template_filter('cut') def cut(value): value = value.replace('hello', 'welcome') ret...
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"""Implements Document Object Model Level 2 Style Sheets http://www.w3.org/TR/2000/PR-DOM-Level-2-Style-20000927/stylesheets.html """ __all__ = ['MediaList', 'MediaQuery', 'StyleSheet', 'StyleSheetList'] __docformat__ = 'restructuredtext' __version__ = '$Id$' from .medialist import * from .mediaquery import * from .st...
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<reponame>tsbxmw/leetcode # 给定一个会议时间安排的数组,每个会议时间都会包括开始和结束的时间 [[s1,e1],[s2,e2],...] (si < ei),请你判断一个人是否能够参加这里面的全部会议。 # 示例 1: # 输入: [[0,30],[5,10],[15,20]] # 输出: false # 示例 2: # 输入: [[7,10],[2,4]] # 输出: true # 来源:力扣(LeetCode) # 链接:https://leetcode-cn.com/problems/meeting-rooms # 著作权归领扣网络所有。商业转载请联系官方授权,非商...
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from dataclasses import dataclass from datetime import date, datetime import mock from pdfminer.layout import LTChar, LTCurve, LTFigure, LTImage, LTTextBoxHorizontal, LTTextLineHorizontal from typing import List from rdr_service.services.consent import files from tests.helpers.unittest_base import BaseTestCase class...
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<reponame>pratiman-91/proplot<gh_stars>100-1000 #!/usr/bin/env python3 """ Utilities related to matplotlib text objects. """ import matplotlib.patheffects as mpatheffects import matplotlib.text as mtext from . import ic # noqa: F401 def _transfer_text(src, dest): """ Transfer the input text object propertie...
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<reponame>kb2ma/openvisualizer # Copyright (c) 2010-2013, Regents of the University of California. # All rights reserved. # # Released under the BSD 3-Clause license as published at the link below. # https://openwsn.atlassian.net/wiki/display/OW/License import logging from openvisualizer.utils import buf2int, hex2buf...
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<gh_stars>1-10 """ # f_it package """ from .fit import FIt from .version import version as __version__ # noqa: F401 from .version import version_tuple as __version_info__ # noqa: F401 __all__ = ["FIt"]
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<reponame>sandeep-krishna/100DaysOfCode ''' <NAME>'s birthday is in next month. This time he is planning to invite N of his friends. He wants to distribute some chocolates to all of his friends after party. He went to a shop to buy a packet of chocolates. At chocolate shop, each packet is having different number of cho...
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<reponame>americanpezza/reqmapper from nltk import word_tokenize, pos_tag from nltk.corpus import wordnet as wn import progressbar class SemanticChecker: def __init__(self, req, minScore=0.75, maxScore=1.0): self.requirements = req self.similarities = [] self.threshold = minScore ...
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# # 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"); you may not us...
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from app.core import App DEFAULT_CYKIT_ADDRESS = 'localhost' DEFAULT_CYKIT_PORT = 5151
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<reponame>jasondunsmore/python-heatclient # 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...
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<gh_stars>0 class NaturalNumbers: def __init__(self): pass def get_first_n_for(self, n): # Ejemplo """ Obtener los primeros n naturales en una lista con for """ first_n = [] # Se declara una lista donde almacenaremos los numeros for i in range(n): # Se itera sobr...
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<reponame>maorp/NeuralGraph<filename>utils/sdf_utils.py<gh_stars>100-1000 import numpy as np def scale_grid(xyz, x_scale, y_scale, z_scale, disp=1.0): X, Y, Z = xyz X = X*x_scale Y = Y*y_scale Z = Z*z_scale points = np.concatenate((X[np.newaxis, ...], Y[np.newaxis, ...], Z[np.newaxis, ...]), axis=...
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import dash from utils.code_and_show import example_app dash.register_page( __name__, description="Compare three regression models to predict revenue" ) filename = __name__.split("pages.")[1] notes = """ #### Plotly Documentation: - [Visualize regression in scikit-learn](https://plotly.com/python/ml-regre...
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<reponame>feiwencaho/sharezone from api.service import dao from api.utils import map from api.const import GeoTableId from django.db import transaction def publish(user, **kwargs): """ 发布需求 :param user: :param kwargs: :return: """ with transaction.atomic(): demand = dao.demand.crea...
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''' <NAME> difficulty: 35% run time: 0:00 answer: 168 *** 115 Counting Block Combinations II NOTE: This is a more difficult version of Problem 114. A row measuring n units in length has red blocks with a minimum length of m units placed on it, such that any two red blocks (which are allowed to be different ...
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from __future__ import annotations from copy import deepcopy from typing import Tuple, Callable import numpy as np from IMLearn import BaseEstimator def cross_validate(estimator: BaseEstimator, X: np.ndarray, y: np.ndarray, scoring: Callable[[np.ndarray, np.ndarray, ...], float], ...
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from rlil.nn import RLNetwork from .approximation import Approximation class VNetwork(Approximation): def __init__( self, model, optimizer, name='v', **kwargs ): model = VModule(model) super().__init__( model, ...
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<gh_stars>1000+ import json from django.test import TestCase from suggestion.models import Study from suggestion.algorithm.abstract_algorithm import AbstractSuggestionAlgorithm from suggestion.algorithm.skopt_bayesian_optimization import SkoptBayesianOptimization class RandomSearchAlgorithmTest(TestCase): def set...
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from ConnectSignal.Lambda import ( connect_slider_moved_abstract, connect_slider_released_abstract, connect_def_str_lineedit_abstract, connect_name_change_abstract ) from ConnectSignal.ConnectMacros import ( connect_colour, connect_fill_pattern, connect_dash, connect_o_arrow, connec...
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<filename>code/sample_1-2-8.py x = [int(i) for i in input().split()] print(x)
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""" 迭代器 --> yield """ class CommodityController: def __init__(self): self.__commoditys = [] def add_commodity(self, cmd): self.__commoditys.append(cmd) def __iter__(self): index = 0 yield self.__commoditys[index] index += 1 yield self.__commoditys[in...
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#encoding:utf8 from pymongo import MongoClient from flask import Flask, request, jsonify DB_COUNT = 32 dbs = {} DBNAME = "replay" COLLECTION = "data" def _hash(hash_str): s = 0 for i in range(1, len(hash_str)+1): c = ord(hash_str[i-1]) s = s + c * i return (s % DB_COUNT) + 1 def _get_coll...
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from django.contrib.auth.backends import ModelBackend from app.core.models import Customer class CustomerUserBackend(ModelBackend): def authenticate(self, username=None, password=<PASSWORD>, t_password=None, **kwargs): UserModel = Customer if username is None: username = kwargs.get(Use...
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<filename>pwtools/test/test_parameter_study.py import os import numpy as np from pwtools import comb, batch, common, sql from pwtools.test.tools import all_types_equal, assert_all_types_equal from .testenv import testdir pj = os.path.join def check_key_in_file(lines, key, file_target): """If line "key=<value>" is ...
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""" You are given two integer arrays nums1 and nums2, sorted in non-decreasing order, and two integers m and n, representing the number of elements in nums1 and nums2 respectively. Merge nums1 and nums2 into a single array sorted in non-decreasing order. The final sorted array should not be returned by the function, ...
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import numpy from scipy.misc import imread from matplotlib import pyplot as plt from PIL import Image from PIL import ImageDraw def upload_recognized_text_lines(file_orf): color = 0 heights = [] blocks = [] min_x = 100000 min_y = 100000 max_x = 0 max_y = 0 lines = [] for line i...
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from django.conf.urls import url from . import constants, views # isort:skip urlpatterns = [ url( r'^create-alias/$', views.create_alias_view, name=constants.CREATE_ALIAS_URL_NAME, ), url( r'^aliases/$', views.CategoryListView.as_view(), name=constants.CA...
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<reponame>rmaguire31/sisr """PyTorch Dataset utilities for SiSR super-resolution dataset """ import os import glob import random import logging import torchvision.transforms.functional as TF from PIL import Image from torch.utils.data import Dataset as BaseDataset __all__ = 'Dataset', 'JointRandomTransform' logg...
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<filename>reservation_rest_api.py from flask import Flask, request from reservation_service import get_qnode, read_data, register, delete_namespace import json import logging from tabulate import tabulate app = Flask(__name__) ALLOWED_EXTENSIONS = {'xls', 'yaml', 'csv', 'json'} logger = logging.getLogger() logger.se...
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# (c) 2012, <NAME> <<EMAIL>> # # This file is part of Ansible # # Ansible is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Ansible i...
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import numpy as np from basics.orig import update_S, update_V, solve_U, E from utils.math_utils import U_converged from utils.metrics import nmi_acc def iteration(X, U, V, labels, p, logger): N = len(X) C = len(V) gamma, epsilon = p.gamma, p.epsilon capped = p.capped or True S = np.ones((N, C)...
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<gh_stars>0 """Config flow for MitBlod integration.""" import pymitblod from homeassistant.core import HomeAssistant from homeassistant.data_entry_flow import FlowResult from homeassistant.helpers.typing import ConfigType from homeassistant.config_entries import ConfigFlow, CONN_CLASS_CLOUD_POLL from homeassistant.con...
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# coding: utf-8 # In[1]: import numpy as np import matplotlib.pylab as plt import sys, os sys.path.append(os.path.join(os.path.dirname("__file__"), '..', '..')) from AI_scientist.util import plot_matrices, make_dir, get_args, Early_Stopping, record_data from AI_scientist.settings.filepath import variational_model_...
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# Copyright (c) 2021 <NAME>. All Rights Reserved. import pymel.core as pm import piper_config as pcfg import piper.mayapy.util as myu import piper.mayapy.convert as convert import piper.mayapy.attribute as attribute from .rig import curve # must do relative import in python 2 def get(node_type, ignore=None, search...
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<gh_stars>10-100 import random as rand class Qbit: def __init__(self, index, prev_1q_gate): self.index = index self.prev_1q_gate = prev_1q_gate self.gate_dict = {'T':('Y','X'), 'Y':('X','T'), 'X': ('T','Y')} def h(self): self.prev_1q_gate = 'H' return self.index d...
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CLIENT_ID = "mxxgwertsps7ry9zsdkk7r3" CLIENT_SECRET = "<KEY>"
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<filename>hawkbot/__main__.py from . import bot from configparser import ConfigParser import sys def get_config(filename): config = ConfigParser() config.read(filename) return config def main(): config = get_config(sys.argv[1]) bot.config = config bot.run(config['login']['token']) if __name__ == '__main__':...
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<gh_stars>0 # Standard libraries import io import os import re from setuptools import setup, find_packages from typing import List # Constants PATH_ROOT = os.path.dirname(__file__) def _load_requirements(path_dir: str, file_name: str = "requirements.txt", comment_char: str = "#") -> List[str]: """Load requiremen...
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<reponame>codepipe/netapp-ansible<gh_stars>10-100 #!/usr/bin/python import sys import json from ansible.module_utils import ntap_util try: from NaServer import * NASERVER_AVAILABLE = True except ImportError: NASERVER_AVAILABLE = False if not NASERVER_AVAILABLE: module.fail_json(msg="The NetApp Manag...
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<reponame>GabrielMMelo/turing-machine<filename>src/tm.py #!/usr/bin/env python # -*- coding: utf-8 -*- import sys from .reader import Reader class Tm(): """Classe que representa uma máquina de Turing determinística para computação de funções numéricas.""" def __init__(self, filename): """ ...
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from functools import partial from django.db import models from model_utils.managers import InheritanceManager from coberturas_medicas.models import Cobertura from core.models import Persona, Profesional from dj_utils.mixins import ShowInfoMixin from dj_utils.models import BaseModel, uploadTenantFilename class Pac...
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<gh_stars>0 import googlemaps from datetime import datetime import time gmaps = googlemaps.Client(key='<KEY>') arrTime = int(datetime(2019, 8, 5, 7, 0, 0).timestamp()) destination = 'Universidad De Los Andes, Bogota Colombia' direction = 'Cr 50 # 106-06, Bogota Colombia' start_time = time.time() loc = gmaps.geocode...
StarcoderdataPython
1672736
import numpy as np def convolution2d_multichannel(image, kernel, bias): _, y, x = image.shape # kernel shape: (output channels, input channels, x, y) chO, chI, _, _ = kernel.shape new_image = np.empty([chO, y, x]) # for adding the images when num channel out < channel in layer_image = np.emp...
StarcoderdataPython
1674916
from pyexcelerate import Workbook data = [[1, 2, 3], [4, 5, 6], [7, 8, 9]] # data is a 2D array wb = Workbook() wb.new_sheet("sheet name", data=data) wb.save("output.xlsx")
StarcoderdataPython
1618344
''' Matheus estava conversando com a sua noiva via mensagem de texto, quando ela lhe enviou a seguinte mensagem: 1-4-3 Ele não entendeu a mensagem, então ele perguntou o que isso significava, e ela respondeu que era 'I Love You" e logo ele percebeu que cada número separado por um ' - ' é a quantidade de caracteres d...
StarcoderdataPython
3328457
class Idol: """Represents an Idol/Celebrity.""" def __init__(self, **kwargs): self.id = kwargs.get('id') self.full_name = kwargs.get('fullname') self.stage_name = kwargs.get('stagename') self.former_full_name = kwargs.get('formerfullname') self.former_stage_name = kwargs....
StarcoderdataPython
1742359
<reponame>dangervon/ironic<filename>ironic/tests/unit/drivers/modules/ibmc/test_management.py # # 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...
StarcoderdataPython
1789444
<reponame>phzwart/qlty import torch import einops def weed_sparse_classification_training_pairs_2D(tensor_in, tensor_out, missing_label, border_tensor): """ After tensors have been unstitched, we want want to be able to remove patches that have no data. To this extent, we inspect every patch and remove any...
StarcoderdataPython
4839253
<reponame>deeuu/supriya import collections from supriya import CalculationRate from supriya.ugens.Filter import Filter class BRF(Filter): """ A 2nd order Butterworth band-reject filter. :: >>> source = supriya.ugens.In.ar(bus=0) >>> b_r_f =supriya.ugens.BRF.ar(source=source) >>>...
StarcoderdataPython
3270063
<gh_stars>0 from plaster.tools.pipeline.pipeline import PipelineTask from plaster.run.prep.prep_result import PrepResult from plaster.run.sim.sim_result import SimResult from plaster.run.survey_nn.survey_nn_params import SurveyNNParams from plaster.run.survey_nn.survey_nn_worker import survey_nn class SurveyNNTask(Pi...
StarcoderdataPython
110013
def checkio(f, g): def call(function, *args, **kwargs): try: return function(*args, **kwargs) except Exception: return None def h(*args, **kwargs): value_f, value_g = call(f, *args, **kwargs), call(g, *args, **kwargs) status = "" if (value_f is None and value_g...
StarcoderdataPython
3344212
<filename>services/spider/worker/__init__.py # -*- coding: utf-8 -*- import os from celery import Celery ################## # Celery配置 from kombu import Queue from webs import create_app class CeleryConfig(object): # 任务与劣化为json,从Celery4.0开始,默认序列化器将为json task_serializer = 'json' # 结果序列化为json result...
StarcoderdataPython
3287833
# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. from typing import TYPE_CHECKING from cdm.enums import CdmObjectType from cdm.enums.cdm_operation_type import OperationTypeConvertor, CdmOperationType from cdm.pe...
StarcoderdataPython
123697
#!/usr/bin/env python """ Copyright (c) 2020-End_Of_Life See the file 'LICENSE' for copying permission """ # import standard library required import argparse import sys # import tool required from route.route import route from route.execute import execute from chemsynth.chemsynth import Chemsynth, Chem...
StarcoderdataPython
113399
#!/usr/bin/python3 import hid import traceback hid_max_pkt_size = 64 if __name__ == '__main__': import argparse import sys import binascii parser = argparse.ArgumentParser() parser.add_argument('-d', '--descriptor', help='Print Descriptor', action='store_true') args = parser.parse_args(...
StarcoderdataPython
1692103
from PoolThread import PoolThread from Stage import Stage from Task import Task
StarcoderdataPython
154787
import info class subinfo(info.infoclass): def setTargets(self): self.versionInfo.setDefaultValues() self.description = "GUI to profilers such as Valgrind" self.defaultTarget = 'master' def setDependencies(self): self.runtimeDependencies["libs/qt5/qtbase"] = None self....
StarcoderdataPython