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<filename>newsletter/models.py from django.db import models from model_utils.models import TimeStampedModel class Signup(TimeStampedModel): email = models.EmailField() def __str__(self): return self.email
StarcoderdataPython
6584827
import socket from math import sqrt, inf serversocket = socket.socket(family=socket.AF_INET, type=socket.SOCK_DGRAM) listOfGasStations = [] idDataMsg = 0 class Fuel: def __init__(self, fuelType, fuelPrice): self.fuelType = fuelType self.fuelPrice = int(fuelPrice) def __str__(self): re...
StarcoderdataPython
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# Generated by Django 3.2.1 on 2021-05-05 15:31 from django.db import migrations, models import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ('PersonalApp', '0001_initial'), ] operations = [ migrations.CreateModel( name='about_model', ...
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""" Basic building blocks of nnpackage models. Contains various basic and specialized network layers, layers for cutoff functions, as well as several auxiliary layers and functions. """ from nnpackage.nn.acsf import * from nnpackage.nn.activations import * from nnpackage.nn.base import * from nnpackag...
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<filename>challenges/array_binary_search/array_binary_search.py<gh_stars>0 def binarySearch(list, int): for i in range( 0, len(list), 1) : if list[i] == int: return i return -1 print(binarySearch([4,8,15,16,23,42], 15))
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<filename>util/nputils.py<gh_stars>1-10 #!/usr/bin/env python3 import numpy as np def nan_like(array): tmp = np.empty_like(array) tmp.fill(np.nan) return tmp def no_op() -> None: # The no-op function; it should obviously be empty! pass if __name__ == "__main__": no_op()
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# Import necessary packages from image_text_model.im_text_rnn_model import oasis_evaluation checkpoint_dir = 'image_text_model/deep_sentiment_model' scores = oasis_evaluation(checkpoint_dir) # Save output and parameters to text file in the localhost node, which is where the computation is performed. #with open('/data...
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<reponame>ganler/LEMON # -*-coding:UTF-8-*- """get prediction for each backend """ import sys import os import redis import pickle import argparse import configparser from scripts.tools.utils import DataUtils from scripts.logger.lemon_logger import Logger import warnings main_logger = Logger() def custom_objects(): ...
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from keras.layers import Concatenate, Input, Lambda, UpSampling2D from keras.models import Model from utils.utils import compose from nets.attention import cbam_block, eca_block, se_block from nets.CSPdarknet53_tiny import (DarknetConv2D, DarknetConv2D_BN_Leaky, darknet_body...
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from typing import Any, List, Optional class Node: """Encapsulate the tree of a Python (or JSON) data structure.""" @staticmethod def is_scalar(value): """Return True iff 'value' should be represented by a leaf node.""" return not isinstance(value, (dict, list, tuple, set)) @classmet...
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import tkinter as tk import time BASE_BACKGROUND = '#292929' HEADER_BASE_COLOR = '#F5F5F5' HEADER_BASE_COLOR = '#F5F5F5' HEADER_COLOR_PRIMARY = '#1c1c1c' HEADER_COLOR_SECONDARY = '#8ec63e' def Header_Menu_Animation(app): Header_Frame = tk.Frame(app, background = HEADER_BASE_COLOR) Header_Frame.place(relx=0.0 , re...
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import torch.nn.functional import typing as _typing import dgl from dgl.nn.pytorch.conv import SAGEConv from .. import base_encoder, encoder_registry from ... import _utils class _SAGE(torch.nn.Module): def __init__( self, input_dimension: int, dimensions: _typing.Sequence[int], ...
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#Desenvolva um programa que leia o primeiro termo e a razão de uma PA. # No final, mostre os 10 primeiros termos dessa progressão. cores = {'limpa':'\033[m', 'bverde':'\033[1;32m', 'roxo':'\033[35m', 'bvermelho': '\033[1;31m', 'pretoebranco':'\033[7:30m'} print('-=-'*...
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import requests from utility import * from sql.database import DBOperations from geolocation.iplocation import IPLocation import json from flask_caching import Cache class Report: """ This is the class where all weather report is created for a user request. Attributes: reque...
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""" This test will initialize the display using displayio and draw a solid red background """ import board import displayio from adafruit_st7735r import ST7735R spi = board.SPI() tft_cs = board.D5 tft_dc = board.D6 displayio.release_displays() display_bus = displayio.FourWire(spi, command=tft_dc, chip_select=tft_cs,...
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<reponame>sethmccauley/cohort4 def divide(divident, divisor): return divident / divisor
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import numpy as np a = np.array([[1,1],[1.5,4.0]]) b = np.array([2200,5050]) x = np.linalg.inv(a).dot(b) #analog way to solve a equation print(x) p = np.linalg.solve(a,b) print(p)
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<filename>tensorflow/python/autograph/pyct/cfg.py<gh_stars>1-10 # Copyright 2017 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://ww...
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#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. # This source code is licensed under the MIT license found in the # LICENSE file in the root directory of this source tree. """ Utilities that are useful for Mephisto-related scripts. """ from mephisto.abstractions.databases.local_database impo...
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class Types: STRING = str INTEGER = int FLOAT = float
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """A module that implements the Trainer class, the main class responsible for the process of training a neural network. """ import sys import logging from time import time import h5py import numpy import theano from theanolm.backend import IncompatibleStateError from th...
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class Fib: def __init__(self,nn): print("inicjujemy") self.__n=nn self.__i=0 self.__p1=self.__p2=1 def __iter__(self): print('iter') return self def __next__(self): print('next') self.__i+=1 if self.__i>self.__n: ...
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"""Serializers for venues""" from rest_framework import serializers from django_countries.serializers import CountryFieldMixin from .fields import TimeZoneField from . import models class VenueSerializer(CountryFieldMixin, serializers.ModelSerializer): time_zone = TimeZoneField( required=False, allow_...
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# To split the given images in dataset into respective Dya & Night Instances. import numpy as np from PIL import Image import glob BUFFER_SIZE = 400 BATCH_SIZE = 1 IMG_WIDTH = 256 IMG_HEIGHT = 256 counter = 1 for filename in glob.glob("training/*.jpg"): im = Image.open(filename) im_arr = np.array(im) width,...
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import scrapeconfig as cng import pandas as pd from get_osebx_html_files import get_htmlfile from get_yahoo_data import get_keystats from datawrangle import merge_bors_and_yahoo_dfs from borsscraper import SCRAPE_OSLOBORS_TITLE if __name__ == '__main__': # Obtain HTML pages of Oslo Bors # print('Ob...
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import load_data as ld import matplotlib.pyplot as plt import tensorflow as tf from tensorflow.keras.layers import Conv2D, MaxPooling2D, ZeroPadding2D, GlobalAveragePooling2D from tensorflow.keras.layers import Dense, Dropout, Activation, Flatten ### where is this coming from? input_shape = (1025,44,2) (train_datas...
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from .graph_export import export_scenegraph, export_subtree from .graph_import import import_scenegraph, import_subtree
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<reponame>Napchat/mineapp from flask import Blueprint, render_template, abort, g, redirect, url_for, session, request from jinja2 import TemplateNotFound from mineapp.forms import NameForm blue1 = Blueprint('blue1', __name__, template_folder='templates', static_folder='static') @blue1.before_app_first_request def bef...
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<gh_stars>0 def featureNormalize(X): import numpy as np np.asarray(X) mu=np.ndarray.mean(X,axis=0) X_norm=X-mu sigma=np.ndarray.std(X_norm,axis=0) X_norm=X_norm/sigma print('the mean is',mu) print('and sigma is',sigma) return X_norm
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<reponame>MartinoMensio/allennlp<gh_stars>10-100 # pylint: disable=no-self-use,invalid-name import numpy import pytest from allennlp.common.checks import ConfigurationError from allennlp.common.testing import AllenNlpTestCase from allennlp.data import Token from allennlp.data.fields import TextField, IndexField from a...
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'''tests for the registry module''' import pytest from lima import exc, schema, registry @pytest.fixture def reg(): return registry.Registry() # mock Schema class to register later on class Schema: pass def test_register1(reg): '''Test if mock Schema class can be registered without raising.''' r...
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import unittest from pyportfolio.models import TradeList from pyportfolio.trades.load import load from pyportfolio.utils.testing import get_data_path class TestImport(unittest.TestCase): def test_csv(self): trade_list = load.load_csv(get_data_path() + 'test.csv') self.assertIsInstance(trade_list, ...
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from PyQt5.QtCore import * from PyQt5.QtGui import * from PyQt5.QtWidgets import * from mainwindow import Ui_MainWindow from aboutdialog import Ui_aboutDialog from rpg_tools.PyDiceroll import roll import sys die_types = ['D4', 'D6', 'D8', 'D10', 'D12', 'D20', 'D30', 'D66', 'D100'] class aboutDialog(QDialog, Ui_aboutD...
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<reponame>geoffjay/shrt from django.shortcuts import render from django.views import View from django.shortcuts import redirect from shrt.url.models import Url class UrlView(View): """Redirect view. Handles a shortened URL by using the redirect shortcut. """ def get(self, request, tag): url ...
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from typing import Any, ClassVar, Dict, Type import dataclasses from bidict import bidict def _compile_node_value(value: Any, **compile_options) -> Any: if isinstance(value, Node): return value.compile(**compile_options) elif isinstance(value, list): return [_compile_node_value(item, **compil...
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<filename>test/connector/test_google_cloud_connector.py import unittest import os import json from datetime import datetime, timedelta from spaceone.tester import TestCase from spaceone.core.unittest.runner import RichTestRunner from spaceone.core import config from spaceone.core.unittest.result import print_data from ...
StarcoderdataPython
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<reponame>ZhangHCFJEA/bbp #!/usr/bin/env python """ CB 08 NGA model """ from utils import * class CB08_nga(): """ Class of NGA model of Campbell and Bozorgnia 2008 """ def __init__(self): """ Model initialization """ # ============ # NGA models (parameters and coefficients) # ===========...
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<reponame>coxmediagroup/nodemeister # -*- coding: utf-8 -*- import datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Removing M2M table for field groups on 'Group' db.delete_table('enc_gr...
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# third-party imports import numpy as np import logging # OBSERVATION PREPROCESSING ================================== def obs_preprocessor_tm_act_in_obs(obs): """ This takes the output of gym as input Therefore the output of the memory must be the same as gym """ obs = (obs[0], obs[1], obs[2], ob...
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<reponame>antopen/alipay-sdk-python-all<filename>alipay/aop/api/response/AlipayCommerceLogisticsWaybillIstddetailQueryResponse.py #!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.response.AlipayResponse import AlipayResponse class AlipayCommerceLogisticsWaybillIstddetailQueryResponse(Ali...
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<reponame>reberhardt7/sofa import logging log = logging.getLogger(__name__) # TODO: ResourceCreated, ResourceUpdated, and ResourceDeleted can be combined # into one class: ResourceResponse class ResourceCreated(object): """ Usage: return ResourceCreated() """ def __init__(self, resource_id, message='Re...
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import urllib def get_sentence_from_source(source): # The next two lines are absolutely the most horrible lines I've written in five years! direct = [{**t, "direct": True} for t in [{k: sentence[k] for k in ('text', 'id', 'lang')} for sentence in source[1]]] indirect = [{**t, "direct": False} for t in [{k...
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# read numbers numbers = [] with open("nums.txt", "r") as f: lines = f.readlines() numbers = [int(i) for i in lines] print(numbers) # part 1 soln for x,el in enumerate(numbers): for i in range(x+1, len(numbers)): if el + numbers[i] == 2020: print("YAY: {} {}".format(el, num...
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<filename>olea/core/blueprints/pit/query.py from flask import g from models import Pit, Role from core.auth import check_opt_duck, check_scopes from core.base import single_query from core.errors import AccessDenied class PitQuery(): @staticmethod def single(id_): return single_query(model=Pit, ...
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<reponame>dizcza/entropy-estimators<gh_stars>1-10 from .NPEET.npeet.entropy_estimators import mi as npeet_mi from .NPEET.npeet.entropy_estimators import entropy as npeet_entropy from .NPEET.npeet.entropy_estimators import entropyd as discrete_entropy from .NPEET.npeet.entropy_estimators import midd as discrete_mi from ...
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<gh_stars>0 from flask import Blueprint, render_template, request, redirect, url_for, Response from app import mongo from bson import ObjectId import json mod_main = Blueprint('main', __name__) @mod_main.route('/', methods=['GET', 'POST']) def index(): if request.method == 'GET': name = ["DEA", "DEA1"]...
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import os import json from io import BytesIO from localstack.utils import testutil from localstack.utils.common import * from localstack.utils.aws import aws_stack from localstack.services.awslambda import lambda_api from localstack.services.awslambda.lambda_api import (LAMBDA_RUNTIME_NODEJS, LAMBDA_RUNTIME_PYTHON2...
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<gh_stars>0 # Copyright (c) 2021 <NAME>. All Rights Reserved. """Emmental parsing args unit tests.""" import logging import shutil from emmental import Meta, init from emmental.utils.parse_args import parse_args, parse_args_to_config logger = logging.getLogger(__name__) def test_parse_args(caplog): """Unit te...
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import numpy as np import pandas as pd import nltk nltk.download('punkt') # one time execution import re df = pd.read_csv("tennis_articles_v4.csv") from nltk.tokenize import sent_tokenize sentences = [] for s in df['article_text']: sentences.append(sent_tokenize(s)) sentences = [y for x in sentences for y in x] # f...
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<reponame>amihaita/GeekTraine #Declare and initialize the variables monthlyPayment = 0 loanAmount = 0 interestRate = 0 numberOfPayments = 0 loanDurationInYears = 0 #Ask the user for the values needed to calculate the monthly payments strLoanAmount = input("How much money will you borrow? ") strInterestRate = input("W...
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# -*- coding: utf-8 -*- """ Created on Thu Aug 23 01:50:30 2018 @author: msi-pc """ import requests import json url="https://no13-asrbbe6isgzxtim.search.windows.net/indexes/c5a268aa-e90c-41f0-8a37-967f765b3623/docs?api-version=2017-11-11&search=bottle" response=requests.get(url) print(response)
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import logging import os import pickle import threading from collections import defaultdict from copy import deepcopy import yaml from telegram import InlineKeyboardButton, InlineKeyboardMarkup from telegram.error import Unauthorized, ChatMigrated from telegram.ext import Updater, CommandHandler, PicklePersistence, Ca...
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from datetime import datetime, timezone from django.db import models, migrations from django.contrib.postgres.operations import CreateExtension from django.utils.text import slugify from django.contrib.gis.db import models as gis_models class Dataset(models.Model): name = models.CharField(max_length = 95, blank = ...
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# def prime(num): # if num < 0: # return "error negative num given" # results = [] # for i in range (2, num+1): # if isPrime(i): # results.append(i) # return results def isPrime(number): # if number in for i in range(2, number): if number % i == 0: ...
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import pandas as pd from re import findall from sklearn.utils import shuffle data = pd.read_csv('Trafficking_Data.csv') urls = data['url'].tolist() regional_data = [] category_data = [] def extract_region(list_of_urls): for strings in list_of_urls: regdata = findall('http://([A-Za-z]+).', strings)[0] region...
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import numpy as np import pandas as pd from sklearn.metrics.pairwise import cosine_similarity from db.dao import add_user_photo_rec, add_photo_photo_rec from pprint import pprint USER_NUMBER = 23259 PHOTO_NUMBER = 8837 TOP_K_NUM = 10 def get_recommend_list_by_itemcf(): header = ['user_id', 'photo_id', 'is_fav'] ...
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<reponame>githaefrancis/fluent-exchange import unittest from app.models import User,Role,Post,Comment class CommentModelTest(unittest.TestCase): def setUp(self): self.new_user=User(name="<NAME>",username='fgithae',password='password',email="<EMAIL>",role=Role.query.filter_by(id=1).first()) self.new_post=Pos...
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<filename>View/forms.py from .models import Profile,Deals from django.forms import ModelForm from django.contrib.auth.models import User class ProfileForm(ModelForm): class META: fields = '__all__' model= Profile class UserForm(ModelForm): class Meta: model = User exclude = ['...
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<reponame>loovien/meida-downloader # -*- coding: utf-8 -*- # website: https://loovien.github.io # author: luowen<<EMAIL>> # time: 2018/9/29 21:41 # desc: import unittest from src.tools.title_builder import title_gen class TitleTest(unittest.TestCase): def test_title(self): title = title_gen() p...
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#!/usr/bin/env python3 import os import rospy from lg_mirror.capture_viewport import CaptureViewport from lg_mirror.utils import get_viewport_image_topic from interactivespaces_msgs.msg import GenericMessage from lg_common.helpers import handle_initial_state, required_param from sensor_msgs.msg import CompressedImage ...
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#!/usr/bin/env python # Scrubs the output of msvc and prints out the dianostics. # # The only argument indicates the file containing the input. # # This script can produce lots of messages per diagnostic # # Copyright (c) 2007-2018 Carnegie Mellon University. All Rights Reserved. # See COPYRIGHT file for details. im...
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<gh_stars>1-10 import logging import faulthandler CRASHLOGGER_NAME = "APPCRASH" class StreamToLogger(object): """ Fake file-like stream object that redirects writes to a logger instance. """ def __init__(self, handler): self.handler = handler def fileno(self): return se...
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# ================================================================= # # Authors: <NAME> <<EMAIL>> # # Copyright (c) 2014 <NAME> # # 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 # res...
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""" /****************************************************************************** This source file is part of the Avogadro project. Copyright 2013 Kitware, Inc. This source code is released under the New BSD License, (the "License"). Unless required by applicable law or agreed to in writing, software di...
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<gh_stars>10-100 # -*- coding: utf-8 -*- # Generated by Django 1.9.1 on 2016-02-18 15:09 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('reddit', '0002_auto_20160213_1617'), ] operations = [ migra...
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<reponame>pycampers/zproc import multiprocessing from typing import List, Mapping, Sequence, Any, Callable import zmq from zproc import util, serializer from zproc.consts import DEFAULT_NAMESPACE, EMPTY_MULTIPART from zproc.server.tools import ping from .result import SequenceTaskResult, SimpleTaskResult from .worker...
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<reponame>WorksApplications/omni_torch<gh_stars>1-10 import torch import torch.nn as nn import omni_torch.networks.blocks as omth_blocks class CifarNet_Vanilla(nn.Module): def __init__(self): super(CifarNet_Vanilla, self).__init__() self.pool = nn.MaxPool2d(kernel_size=2, stride=2, padding=0) ...
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<reponame>basilmahmood/Wsimple<filename>setup.py<gh_stars>0 from os import path from setuptools import setup, find_packages def read(fname): return open(path.join(path.dirname(__file__), fname)).read() def from_here(relative_path): return path.join(path.dirname(__file__), relative_path) with open('requiremen...
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<gh_stars>0 # -*- coding: utf-8 -*- """ Editor: <NAME> School: BUPT Date: 2018-03-02 算法思想: 交叉字符串 动态规划,dp[i][j]表示s1前i个字符与s2前j个字符能否组成s3前i+j个字符 """ class Solution: """ @param s1: A string @param s2: A string @param s3: A string @return: Determine whether s3 is formed by interleaving of s1 and s2 ...
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from typing import Callable class Knapsack: @staticmethod def best_value( capacity: int, sizes: list, values: list, quantities, min_max: Callable = max, zero_capacity_value=0, fill_to_capacity=True, output_item_list=True ): if capacit...
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<reponame>yukiar/phrase_alignment_cted import os, glob, pathlib from xml.etree import ElementTree class Node: def __init__(self, id, tokens, start, end, pidx, cidx_list, pa1, pa2, pa3): self.id = id # node id, e.g., c0 and t10 self.txt = ' '.join(tokens).strip(' ') self.tokens = tokens ...
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# pylint: disable=missing-docstring import unittest import numpy as np import tensorflow as tf import tf_encrypted as tfe from tf_encrypted.keras.testing_utils import agreement_test, layer_test np.random.seed(42) class TestDense(unittest.TestCase): def setUp(self): tf.reset_default_graph() def test_dense...
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""" A simple animated scene that loads from OBJ, uses textures, and does deferred lighting with shadow map. """ import logging import math from time import time from pathlib import Path import pyglet from pyglet import gl from euclid3 import Matrix4, Point3 from fogl.debug import DebugWindow from fogl.framebuffer im...
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import numpy as np import glob import random import torch import torch.utils.data from analyzer.data.utils.data_raw import * from analyzer.data.utils.data_misc import * from analyzer.data.augmentation import Augmentor class PairDataset(): ''' This Dataloader will prepare sample that are pairs for feeding the c...
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# Get numbers divisible by fifteen from a list using an anonymous function numberlist=[1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20] answer=list(filter(lambda x:(x%2==0),numberlist)) print("the numbers divisible by 2 are :\n",answer) # lambda operator or lambda function is used for creating small, one-time and ...
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from pythonforandroid.recipe import PythonRecipe class PycryptodomeRecipe(PythonRecipe): version = '3.4.6' url = 'https://github.com/Legrandin/pycryptodome/archive/v{version}.tar.gz' depends = ['setuptools', 'cffi'] def get_recipe_env(self, arch=None, with_flags_in_cc=True): env = super(Pycry...
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<reponame>supdrewin/linux-enable-ir-emitter import os import yaml import sys import logging from typing import List from globals import SAVE_DRIVER_FILE_PATH, ExitCode from driver.Driver import Driver class DriverSerializer: @staticmethod def _deserialize_saved_drivers() -> List[object]: """Load all ...
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import argparse import requests TEMPLATE = ( lambda labels: f"""\ ATOMIC_NUMBER_LABELS = {str(labels)} """ ) def main(args: argparse.Namespace): result = requests.get(args.input).json() labels = { element["number"]: element["symbol"] for element in result["elements"] } file_content = TEMP...
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def author_picture(): author_picture_list = [ "https://edu-test-1255999742.cos.ap-chengdu.myqcloud.com/portrait/20190612/" "dd4f56aba5524d28beac93dbb2770783.jpg", "https://edu-test-1255999742.cos.ap-chengdu.myqcloud.com/portrait/20190612/" "3a09d554769e45fe9c1f68e58d44350a.jpg", ...
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<gh_stars>0 ### # Copyright 2019 <NAME>, Inc. 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 required...
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<gh_stars>0 import numpy as np import torch class DistancesNumpy: """A collection of nearly all known distance functions implemented with numpy operators""" @staticmethod def braycurtis(a, b): return np.sum(np.fabs(a - b)) / np.sum(np.fabs(a + b)) @staticmethod def canberra(a, b): r...
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# -*- coding: utf-8 -*- # Generated by Django 1.9.4 on 2016-07-01 18:19 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migration...
StarcoderdataPython
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<gh_stars>0 import torch from torch import nn from torch.nn import functional as F from .i_attention_layer import SqueezeExcitation_c64 from .i_attention_layer import SqueezeExcitation_c100 from .i_attention_layer import SpatialAttention from .i_attention_layer import ConvBNReLU from .i_attention_layer import SE from ...
StarcoderdataPython
9721614
# -*- coding: utf-8 -*- """column type""" __all__ = ['ColumnType', 'DateColumnType', 'TimeColumnType', 'DateTimeColumnType', 'basic_column_type'] import abc import datetime as dt from .default import ValueFetcher from pyqttable.editor import * basic_column_type = [int, float, str, bool] class ColumnType(metaclas...
StarcoderdataPython
109826
<gh_stars>0 #!/usr/bin/env python3 # Copyright 2021 Canonical Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applic...
StarcoderdataPython
11227747
#!/usr/bin/python # coding: utf-8 import sys from PyQt4 import QtGui, QtCore from PyQt4.Qsci import QsciScintilla, QsciLexerXML import packtools_wrapper class SimpleXMLEditor(QsciScintilla): ARROW_MARKER_NUM = 8 def __init__(self, parent=None): super(SimpleXMLEditor, self).__init__(parent) ...
StarcoderdataPython
3314543
from django.test import TestCase from .signals import send_newsletter from .models import Newsletter, Topic from .script import get_mailing_list from user.models import Profile from django.contrib.auth.models import User import datetime # Create your tests here. class NewsletterTest(TestCase): def setUp(self): ...
StarcoderdataPython
9708586
import base64 from googleapiclient import discovery class Transcriber(object): # the transcript chunks transcript_chunks = [] def __init__(self, api_key): self.api_key = api_key def get_speech_service(self): """ Get the Google Speech service. """ return dis...
StarcoderdataPython
1751957
import paramiko IP = '192.168.127.12' USER = 'pruebaURJC' PASSWORD = '<PASSWORD>' try: ssh = paramiko.SSHClient() ssh.set_missing_host_key_policy(paramiko.AutoAddPolicy()) ssh.connect(IP, port=22, username=USER, password=PASSWORD) sftp = ssh.open_sftp() sftp.get('./Clases.py','Clases.py') sftp...
StarcoderdataPython
1918039
<filename>test/vanilla/legacy/Expected/AcceptanceTests/BodyComplexPythonThreeOnly/bodycomplexpython3only/models/_auto_rest_complex_test_service_enums.py # coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed unde...
StarcoderdataPython
1859194
import os # Get box size from xyz file or use the default box size parameter def get_box_info(input_file_name): with open(input_file_name) as f: load_lines = f.readlines() try: box_size_parameter = (((load_lines[1].split('['))[1].split(']'))[0]).split(',') box_size_parameter...
StarcoderdataPython
3588262
""" Napisz program wczytujący liczbę naturalną z klawiatury i odpowiadający na pytanie, czy jej cyfry stanowią ciąg rosnący. """ def are_digits_incresing(strnumber, i): while i != len(strnumber): if strnumber[i] > strnumber[i - 1]: i += 1 elif len(strnumber) < len(strnumber) - 2: ...
StarcoderdataPython
4805029
# Copyright: <NAME> <<EMAIL>> # License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html from aqt.qt import * from operator import itemgetter from aqt.utils import showInfo, askUser, getText, maybeHideClose, openHelp import aqt.modelchooser, aqt.clayout from anki import stdmodels from aqt.utils imp...
StarcoderdataPython
4870432
from PyQt5.QtCore import QObject, pyqtSignal class CurrentThread(QObject): _on_execute = pyqtSignal(object, tuple, dict) def __init__(self): super(QObject, self).__init__() self._on_execute.connect(self._execute_in_thread) def execute(self, f, args, kwargs): self._on_execute.emit...
StarcoderdataPython
1890325
import os import pytest from featuretools import list_primitives from featuretools.primitives import ( Age, Count, Day, GreaterThan, Haversine, Last, Max, Mean, Min, Mode, Month, NumCharacters, NumUnique, NumWords, PercentTrue, Skew, Std, Sum, ...
StarcoderdataPython
8121143
from __future__ import division __version__ = '0.0.3' __author__ = '<NAME>' import md5 from math import sqrt, log, sin, cos, pi import types TAU = 2.0*pi def gaussian(value1, value2): """ Converts two flat distributed numbers into a gaussian distribution Input from 0-1, output mean 0 STDDE...
StarcoderdataPython
6492700
# -*- coding: utf-8 -*- from __future__ import absolute_import, print_function, division from logging import getLogger from concurrent.futures import ProcessPoolExecutor, wait import numpy as np from sklearn.metrics import roc_auc_score from sklearn.model_selection import StratifiedKFold from .basics.classifier_cha...
StarcoderdataPython
5169438
import gym import numpy as np import matplotlib.pyplot as plt from windy_gridworld import WindyGridworldEnv import time, os def create_state_action_dictionary(env): Q = {} for key in range(env.nS): Q[key] = {a: 0.0 for a in range(env.nA)} return Q def epsilon_greedy_action(env, epsilon, s, Q): ...
StarcoderdataPython
12818426
from scipy.stats import entropy, ks_2samp, kstest, anderson import numpy as np EPSILON = 10e-10 # ############################################### # # ##### Distribution Metrics for Testing G: ##### # # ############################################### # def calc_Dkl(true_samples, generated_samples, bin_num=100): ...
StarcoderdataPython
4848492
import urllib.request, json from datetime import datetime from django.utils import timezone from django.conf import settings from django.db.models import Q from fbevents.models import Event # Assume all the upcoming events are in the first page, paging is ignored def sync_upcoming_events_with_fb(): fb_events_ap...
StarcoderdataPython