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import random from torchvision.transforms import functional as F from torchvision.transforms import transforms from PIL import Image
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import pytest @pytest.fixture def context(): class Context(object): pass return Context()
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# coding: utf-8 from __future__ import absolute_import from __future__ import unicode_literals import os import io import zipfile import tempfile import unittest from six.moves import filterfalse import fs.test import fs.wrap import fs.errors import fs.memoryfs import fs.archive.zipfs from fs.path import relpath, j...
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from typing import Callable import requests from .... import IGraphResponse, IGraphFilter, IGraphAction from ...abstractions.ISharepointDocumentLibrary import ISharepointDocumentLibrary from ...abstractions.ISharepointList import ISharepointList from ...utilities.sharepoint_graph_client_base import SharepointGraphClie...
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<reponame>i1caro/hotel import logging # import os # create logger logging.basicConfig( filename='python.log', level=logging.INFO, format='%(asctime)s %(levelname)s %(message)s', datefmt='%m/%d/%Y %I:%M:%S' ) # logger = logging.getLogger('hotel') # # create file handler which logs even info messages # ...
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# Generated by Django 3.0.7 on 2020-06-27 19:03 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('coletaeapi', '0001_initial'), ] operations = [ migrations.AddField( model_name='collectionpoint', name='address', ...
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248113
#!/usr/bin/env python # Author: <NAME> # Core Python Pogramming - Homework 9 import os, imp import string, random def file_fliter(name): # 9-1 fhand = open(name) for line in fhand: if line[0] != '#': print line, fhand.close() def read_file(): # 9-2 fhand = open(raw_input('Fil...
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from .common import add_history_args, add_vehicle_args, format_duration_minutes, get_vehicle from datetime import datetime from tabulate import tabulate help_text = 'Show charging statistics for your vehicle.' def configure_parser(parser): add_vehicle_args(parser) add_history_args(parser) parser.add_arg...
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# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.contrib import admin from solo.admin import SingletonModelAdmin from events.models import Event, Profile, Team, Event, TeamMembership @admin.register(Profile) class ProfileAdmin(admin.ModelAdmin): pass @admin.register(Event) class E...
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<filename>api/test/app/batch/test_db_data_exporter.py """ dc-test /usr/test/app/batch/test_db_data_exporter.py """ from unittest import mock import pytest from src.app.batch.db_data_exporter import DBDataExporter from src.app.config.hard_constants import HardConstants from src.app.models.comment import CommentDAO fr...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Mon Jan 27 17:39:25 2020 @author: prachi """ import os import sys import numpy as np import subprocess import pickle import argparse #updating def setup(): """Get cmds and setup directories.""" cmdparser = argparse.ArgumentParser(description='con...
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version = "0.90.20190728"
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import numpy as np from spearmint.grids import sobol_grid def evaluate(job_id, params): x = params['X'] y = params['Y'] z = params['Z'] #print 'Evaluating at (%f, %f, %f)' % (x, y, z) obj1 = float(x*np.power(16.0+np.power(z,2.0),0.5)+y*np.power(1.0+np.power(z,2.0),0.5)) + np.random.normal(0,0.00...
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<gh_stars>0 import climate import glob import gzip import io import lmj.cubes import logging import numpy as np import os import pandas as pd import pickle import theanets def compress(source, k, activation, **kwargs): fns = sorted(glob.glob(os.path.join(source, '*', '*_jac.csv.gz'))) logging.info('%s: found ...
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<gh_stars>0 from gitlabform.gitlab.core import GitLabCore class GitLabServices(GitLabCore): def get_service(self, project_and_group_name, service): return self._make_requests_to_api("projects/%s/services/%s", (project_and_group_name, service)) def set_service(self, project_and_group_name, service, d...
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9631960
<reponame>Superomeg4/SciDataTool<gh_stars>0 import numpy as np from SciDataTool.Functions import NormError, UnitError, AxisError from SciDataTool.Functions.conversions import convert as convert_unit, to_dB, to_dBA from SciDataTool.Functions.derivation_integration import ( derivate, integrate, antiderivate,...
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''' Author: <NAME> Email: <EMAIL> Date created: 2020/1/6 Python Version: 3.6 ''' """ Code to split the data into train and test dataset """ import configparser import logging import sys import click import ast import pandas as pd import os sys.path.append('.') from src.data.utils import read_raw_data...
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<reponame>thequicksort/puddle import networkx as nx from puddle import mk_session, Droplet, project_path min_volume = 1.0 max_volume = 4.0 def plan(low, high, target, epsilon=0.01): graph = nx.DiGraph() mid = (low + high) / 2 while abs(mid - target) > epsilon: graph.add_edge(low, mid) g...
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<gh_stars>0 import connexion import os import project.app orig_environ = dict(os.environ) orig_environ["ALLOWED_API_KEYS"] = "test-api-key" os.environ.update(orig_environ) from flask_sqlalchemy import SQLAlchemy from flask_testing import TestCase from sqlalchemy.exc import SQLAlchemyError from ge_core_shared import ...
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# Under MIT License, see LICENSE.txt from typing import Dict from Util import Position class Ball: def __init__(self, position=Position()): self._position = position self._velocity = Position() def update(self, new_dict: Dict): self.position = new_dict['position'] self.velo...
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<gh_stars>1-10 a=[] b=[] def multiples_of_3(n): i=1 for i in range(n): # stops at 1 less than the value passed to `range` m=i*3 if(m<n): a.append(m) def multiples_of_5(n): j=1 for j in range(n): # could change to 201 and still work k=j*5 if(k<n): ...
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import random import time import sys from pyparsems import * def genNums(size): nums = [] for i in range(size): nums.append(random.randint(0, 10)) return nums def sumList(nums): res_sum = sum(nums) if __name__ == '__main__': if len(sys.argv) and sys.argv[1].isdigit(): n = int(sys.argv[1]) st ...
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<reponame>kathryncrouch/eupathws # -*- coding: utf-8 -*- # # Author: <NAME> <<EMAIL>> # Copyright (c) 2016 Genome Research Ltd # # Permission to use, copy, modify, and distribute this software for any # purpose with or without fee is hereby granted, provided that the above # copyright notice and this permission no...
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class PyZbarError(Exception): pass
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def fixformatting(data): passports = [] currentPassport = {} for line in data: if line == "": # Stack Overflow code passports.append(currentPassport) currentPassport = {} else: for item in line.split(" "): key, value = item.split(":") ...
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<reponame>collinwright/nixpkgs #!/usr/bin/python import json import sys def process_section(name, section): packages = set() if "resolved" in section: packages.add((name, section["resolved"])) if "dependencies" in section: for name in section["dependencies"]: packages.add((n...
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<gh_stars>1-10 from __future__ import absolute_import from . import auth_providers from .app import KnowledgeFlask from .db_repo import DBSession session_obj = DBSession() db_repo_session = session_obj.session() db_repo_engine = session_obj.engine()
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#!/usr/bin/env python from flexbe_core import EventState, Logger from flexbe_core.proxy import ProxyActionClient from lisa_interaction_msgs.msg import LisaUtterAction, LisaUtterGoal class LisaUtterActionStateWithUserkey(EventState): ''' An uttering action is performed with high priority (all running dialogue are d...
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<reponame>dmontielg/smoking-microbiome #!/usr/bin/env python import os import subprocess import warnings from collections import Counter import pandas as pd import numpy as np from sklearn.preprocessing import LabelBinarizer from sklearn.preprocessing import OneHotEncoder from sklearn.metrics import matthews_corrcoe...
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<gh_stars>0 money = float(input()) sex = input() years = int(input()) sport = input() price = 0.0 if sex == "m": if sport == "Gym": price = 42 elif sport == "Boxing": price = 41 elif sport == "Yoga": price = 45 elif sport == "Zumba": price = 34 elif sport == "Dances":...
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<reponame>joshmaglione/ZetaFunctionSandbox # # Copyright 2019 <NAME> # # Distributed under MIT License # from sage.all import Matrix as _Matrix from sage.all import Polyhedron as _Polyhedron from sage.all import PolynomialRing as _PolynomialRing from sage.all import QQ as _QQ from sage.all import var as...
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from .wrapped_dict import WrappedDict class WorldState(WrappedDict): """A model of the world state""" def __init__(self, *args, **kwargs): self.turn_number = 0 super().__init__(*args, **kwargs) def automatic_tick(self): return def execution_tick(self): return de...
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print('1) проверка числа на простоту (простые числа - это те числа у которых делители единица и они сами);') def prime(n): i = 2 while n > i: if n % i == 0: return (n,'непростое число') i += 1 if i == n: return (n,'простое число') print(prime(51)) print(prime(17))...
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#coding:utf-8 # 作为库,下面的导入为 .tt 而不是 tt, # 但是这样作为主程序启动就会报错, # "ImportError: attempted relative import with no known parent package" # # 如果用.tt 作为主程序不会报错,但作为库使用会报错 # ImportError: No module named 'tt' # 如果作为库,可以添加 -m # python -m file_io.print_abspath (要从主文件夹启动) # 不管从哪里输出,当前文件夹总是主程序文件夹 import os from .tt im...
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import numpy as np from collections import deque class CollisionDetector: collision_resolution = 1 def __init__(self, env): self.env = env def isCollidedPoint(self, point): return self.env[point[0],point[1],point[2]] def isCollidedPath(self, start, end): size = (start - end...
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"""An example of training PCL against OpenAI Gym Envs. This script is an example of training a PCL agent against OpenAI Gym envs. Both discrete and continuous action spaces are supported. To solve CartPole-v0, run: python train_pcl_gym.py To solve InvertedPendulum-v1, run: python train_pcl_gym.py --env Inver...
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3387044
<reponame>PHIKN1GHT/secp_2020<gh_stars>0 from server import app, DBSession from flask import Blueprint, request, session, send_file, make_response, jsonify from utils import captcha, cmparePswd, invalid, invalidate from flask_jwt_extended import jwt_required, jwt_optional, create_access_token, get_jwt_identity, get_ra...
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6626015
<gh_stars>1-10 # 2019-11-11 16:07:35(JST) import sys # import collections # import math # from string import ascii_lowercase, ascii_uppercase, digits # from bisect import bisect_left as bi_l, bisect_right as bi_r # import itertools # from functools import reduce # import operator as op # from scipy.misc impo...
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import os import ogr from math import ceil def rasttovecgrid(outputGridfn,xmin,xmax,ymin,ymax,gridHeight,gridWidth): # convert sys.argv to float xmin = float(xmin) xmax = float(xmax) ymin = float(ymin) ymax = float(ymax) gridWidth = float(gridWidth) gridHeight = float(gridHeight) # ge...
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<filename>setup.py<gh_stars>1-10 #!/usr/bin/env python # -*- coding: utf-8 -*- import sys try: from setuptools import setup except ImportError: from distutils.core import setup with open('README.rst') as readme_file: readme = readme_file.read() with open('HISTORY.rst') as history_file: history = his...
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import torch as t import torch.nn as nn import torch.nn.functional as F class AttentionLayer(nn.Module): """simple layer for attention-based convolution""" def __init__(self, opt, in_channel, out_channel, alpha, concat=True): super(AttentionLayer, self).__init__() self.drop_out = opt.drop_out ...
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#!flask/bin/python from flask import Flask, request, logging from KNX import * import logging app = Flask(__name__) @app.route('/store/<int:floor_id>/<int:store_id>', methods=['POST'], strict_slashes=False) def setStore(floor_id, store_id): # Example values: 200 2 2 3/4/1 content = request.get_json() valu...
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from animation import Animation import time import numpy as np import colorsys from numpy import pi import travellers import standers from utils import add_params class Brendo(Animation): layout_type = "Layout" def __init__(self, layout, shift_rate=0, num_sections=10, **kwargs ...
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<filename>mailer/engine.py<gh_stars>0 from time import sleep from models import Message, DontSendEntry, MessageLog from django.core.mail import * ## configuration settings # @@@ eventually move to settings.py # when queue is empty, how long to wait (in seconds) before checking again EMPTY_QUEUE_SLEEP = 300 def p...
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current_cycle = '2021-3' pilatus_data_dir = "/exp_path/hdf"
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<gh_stars>1-10 from typing import Any, List, Dict, Optional, Sequence from scipy import sparse import os import sklearn import numpy # NOTE numpy is used only to set types and nan values. FIXME with correct types from AF # import arrayfire as af # FIXME uncommnet when line 300 is resolved from numpy import ndarray ...
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<reponame>cffbots/ESMValTool<filename>esmvaltool/cmorizers/obs/cmorize_obs_aphro_ma.py<gh_stars>100-1000 """ESMValTool CMORizer for APHRODITE Monsoon Asia (APHRO-MA) data. Tier Tier 3: restricted dataset. Source http://aphrodite.st.hirosaki-u.ac.jp/download/ Last access 20200306 Download and processing ...
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<filename>python_system.bzl # Copyright 2021 DeepMind Technologies Limited. # # 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 requir...
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# Idea from #<EMAIL> def fiboSum(n): if n==0: return [-1] if n==1: return [1] total = 0 fibo = [1] f = 1 while f<=n: fibo.append(f) f+=fibo[len(fibo)-2] fibo.pop(1) index = len(fibo)-1 while sum(fibo)!=n: if sum(fibo)-fibo[index] ==n: fibo.pop(inde...
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<gh_stars>1-10 # Copyright 2008-2012 Nokia Siemens Networks Oyj # # 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...
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<filename>model/efficientnet.py from efficientnet_pytorch import EfficientNet import torch.nn.functional as F import torch.nn as nn class efficientnet(nn.Module): def __init__(self, num_classes=1000): super(efficientnet, self).__init__() self.encoder = EfficientNet.from_pretrained('efficientnet-b1'...
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import os from flask import Flask, render_template, request, make_response, session, url_for, redirect, flash, abort from werkzeug.utils import secure_filename app = Flask(__name__) app.secret_key = 'wohohoho' #upload ALLOWED_EXTENSION = set(['txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif']) app.config['UPLOAD_FOLDER'] ='...
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print('='*21) print('Calculadora de média') print('='*21) n1 = float(input('Insira uma nota: ')) n2 = float(input('Insita a segunda nota: ')) print(f'A média de notas é igual a {(n1+n2)/2:.1f}.')
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import dash_html_components as html from app import app layout = html.Div( 'animations' )
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<reponame>curiousleo/wren import re from pygments import highlight from pygments.lexers import PythonLexer from pygments.formatters import HtmlFormatter from pygments.lexer import RegexLexer from pygments.token import * class WrenLexer(RegexLexer): name = 'Wren' aliases = ['wren'] filenames = ['*.wren'] ...
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""" Server related classes (Daemon etc) Pyro - Python Remote Objects. Copyright by <NAME> (<EMAIL>). """ import os import sys import uuid import time import socket import collections import threading import logging import inspect import warnings import serpent from . import config, core, errors, serializers, socketu...
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<gh_stars>0 from graphviz import Digraph, Source, render from datetime import datetime import sys file = sys.argv[1] system_time = datetime.now().strftime("%Y-%m-%d %H-%M-%S") if __name__ == "__main__": for eng in ("dot", "neato", "twopi", "circo", "fdp", "sfdp"): dot = Digraph(comment=system_time + '_' +...
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<gh_stars>1-10 import os import sys import argparse from core.config import conf parser = argparse.ArgumentParser() parser.add_argument("--develop", action="store_true", help="Run app on development mode.") parser.add_argument("--log", type=int, help="Set log level", default=None) parser.add_argument("-d", "--daemon",...
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from django.conf.urls import patterns, url urlpatterns = patterns( 'api.dc.template.views', # /template - get url(r'^$', 'dc_template_list', name='api_dc_template_list'), # /template/<name> - get, create, delete url(r'^(?P<name>[A-Za-z0-9\._-]+)/$', 'dc_template', name='api_dc_template'), )
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<gh_stars>1000+ # -*- coding: utf-8 -*- # @Time : 2017/8/8 12:33 # @Author : play4fun # @File : knn-find_nearest.py # @Software: PyCharm """ knn-find_nearest.py: http://www.bogotobogo.com/python/OpenCV_Python/python_opencv3_Machine_Learning_Classification_K-nearest_neighbors_k-NN.php """ import cv2 import nump...
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<filename>reg.py import re import os import os.path as osp import gc import argparse from datetime import datetime from typing import List import numpy as np from skimage.transform import AffineTransform, warp import pandas as pd import cv2 as cv import tifffile as tif import dask from metadata_handling import genera...
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"""Test Hue migration logic.""" from unittest.mock import patch from homeassistant.components import hue from homeassistant.helpers import device_registry as dr, entity_registry as er from tests.common import MockConfigEntry async def test_migrate_api_key(hass): """Test if username gets migrated to api_key.""" ...
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<gh_stars>0 """ Definition of ListNode class ListNode(object): def __init__(self, val, next=None): self.val = val self.next = next """ class Solution: """ @param head: The first node of linked list. @param n: An integer @return: The head of linked list. """ def removeNthFrom...
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<filename>tests/backup_test.py import io from fixtures import * import tarfile import gzip def test_backing_up_config_dir(): compressed_tar_blob = manager.backup.config_dir() tar = tarfile.open(fileobj=io.BytesIO(compressed_tar_blob), mode='r:*') # The configuration directory has 9 files in it, plus the ...
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"""Test the variable meanings dictionary.""" import os import os.path as op import json import sp_experiment from sp_experiment.define_variable_meanings import (make_description_task_json, make_events_json_dict, mak...
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<reponame>bharshbarger/python_toolbox import subprocess def tmux_execute(session_name, command): proc = subprocess.Popen(['tmux', 'new-session', '-d', '-s', '{}'.format(session_name),\ '{}'.format(command)], stdout=subprocess.PIPE) (out, err) = proc.communicate()
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# Tencent is pleased to support the open source community by making GNES available. # # Copyright (C) 2019 THL A29 Limited, a Tencent company. 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...
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<reponame>Satanepigone/osr2mp4-app<gh_stars>100-1000 from PyQt5.QtWidgets import QLabel class ParentTitle(QLabel): def __init__(self, default_fontsize=1, color="white"): super().__init__() self.default_width = 1 self.default_height = 1 self.default_fontsize = default_fontsize self.color = color self.setS...
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<gh_stars>1-10 import sys, os myPath = os.path.dirname(os.path.abspath(__file__)) sys.path.insert(0, myPath + "/../../") import soundscapy.ssid.parameters as par from pytest import raises def test_surveyvar_dict(): for key, val in par.SURVEY_VARS.items(): if key in ["Traffic", "Other", "Human", "Natural...
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<filename>src/py42/settings/debug.py import logging import sys class _DebugSettings(object): INFO = logging.INFO DEBUG = logging.DEBUG TRACE = logging.DEBUG NONE = logging.NOTSET def __init__(self): self.logger = logging.getLogger("py42") self.logger.addHandler(logging.StreamHandl...
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#import helper #import helper as h from helper import validate_and_execute, user_input_message user_input = "" while user_input != "exit": user_input = input(user_input_message) days_and_unit = user_input.split(":") days_and_unit_dict = {"days": days_and_unit[0], "unit": days_and_unit[1]} validate_and_...
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<filename>custom_components/ha-pyamdgpuinfo/const.py """ The AMD GPU component.""" from homeassistant.components.sensor import ( DEVICE_CLASS_POWER, DEVICE_CLASS_TEMPERATURE, DEVICE_CLASS_VOLTAGE, ) from homeassistant.const import ( CONF_RESOURCES, DATA_MEBIBYTES, PERCENTAGE, TEMP_CELSIUS,...
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<filename>python/package/open_waters/document/__init__.py<gh_stars>1-10 class Document: __baseEndpoint = 'documents' __client = None def __init__(self, __client): self.__client = __client def upload(self, file_path: str) -> dict: """ Upload document :rtype: dict :para...
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# 763. Partition Labels # Runtime: 40 ms, faster than 75.24% of Python3 online submissions for Partition Labels. # Memory Usage: 14.4 MB, less than 24.03% of Python3 online submissions for Partition Labels. class Solution: # Greedy def partitionLabels(self, s: str) -> list[int]: last = {c: i for i, ...
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#!/usr/bin/env python from django.apps import AppConfig class DjangoMakeSuperUserConfig(AppConfig): name = 'django_makesuperuser'
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import io import json import os import copy import os.path from datetime import datetime from io import BytesIO import yaml from PyPDF2 import PdfFileReader from PyPDF2.generic import IndirectObject from lxml import etree from .flavors import xml_flavor from .logger import logger from .pdfwriter import FacturXPDFWrit...
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import numpy from scipy.ndimage import convolve from skimage.data import camera from skimage.util import random_noise from dexp.processing.filters.fft_convolve import fft_convolve from dexp.utils.backends import Backend, CupyBackend, NumpyBackend def demo_fft_convolve_numpy(): with NumpyBackend(): _demo_...
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from opensfm import dataset from numpy import ndarray from typing import Dict, Tuple def get_all_track_observations(gcp_database, track_id: str) -> Dict[str, ndarray]: print(f"Getting all observations of track {track_id}") data = dataset.DataSet(gcp_database.path) tracks_manager = data.load_tracks_manager...
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from flask import Flask, jsonify app = Flask(__name__) @app.route("/matchcoaches", methods=['POST']) def hello(): return jsonify(coaches=[1,2,3], error=False)
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<gh_stars>0 import PIL import torch import numpy as np from PIL import Image class Transformer(object): """"Transform""" def __init__(self,): pass def __call__(self, img, bbox=None): pass class Compose(Transformer): """Compose transforms""" def __init__(self, transforms=[]): ...
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# -*- coding:utf-8 -*- import os import time import functools from PyQt5 import uic from PyQt5 import QtCore from PyQt5 import QtWidgets from utils import loadJson from _rpc import _exec, _eval class ControlPanel(QtWidgets.QWidget): def __init__(self, parent=None): super(ControlPanel, self).__init__(par...
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<filename>convlab2/laug/Word_Perturbation/multiwoz/types.py from typing import TypeVar, NewType, Union, List, Dict SampleType = TypeVar("SampleType") StringType = str WordType = TokenType = NewType("TokenType", str) TokenListType = WordListType = List[TokenType] SentenceType = Union[StringType, TokenListType] ...
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"""Public interface for TensorFlow GNN package. All the public symbols, data types and functions are provided from this top-level package. To use the library, you should use a single import statement, like this: import tensorflow_gnn as tfgnn The various data types provided by the GNN library have corresponding ...
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<reponame>liuyepiaoxiang/es6-learning #!usr/bin/sh # -*- coding:utf8 -*- # this is a guess number game import random secretNumber = random.randint(1,20) print('请猜一个0到20的数') # ask the player to guess 6 times. for guessTaken in range(1,7): print('Take a guess.') guess = int(input()) if guess < secretNumber:...
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<reponame>zz-xx/robox86<filename>cogs/others/WebtoonsUpdates.py from datetime import date import discord from discord.ext import commands from x86 import helpers class WebtoonsUpdates: '''Reminds you when new chapter of your favorite webtoon is out''' @commands.group(aliases=['Webtoons',...
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""" TODO: Move to `godopy/contrib/scripts/` and allow installation from there """ from godot import bindings from godot.nativescript import register_tool_class, register_method from IPython.terminal.embed import InteractiveShellEmbed POLL_INTERVAL = 0.05 class GodotPythonShell(InteractiveShellEmbed): def init_...
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<reponame>andrewdbell/downhill_skier import pygame pygame.init() screen = pygame.display.set_mode((640, 480)) COLOR_INACTIVE = pygame.Color('lightskyblue3') COLOR_ACTIVE = pygame.Color('dodgerblue2') FONT = pygame.font.Font(None, 32) class InputBox: def __init__(self, x, y, w, h, text=''): self.rect = ...
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# Task 2: Maximum Value calculation def maximum(value_list): # Initialize the maximum value with the first value in the list max_value = value_list[0] # Iterate through all values of the list for value in value_list: # If the current value in the list is higher than the actual max value ... i...
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<filename>v1.0.0.test/toontown/parties/DistributedPartyCannonActivityAI.py from direct.directnotify import DirectNotifyGlobal from toontown.parties.DistributedPartyActivityAI import DistributedPartyActivityAI class DistributedPartyCannonActivityAI(DistributedPartyActivityAI): notify = DirectNotifyGlobal.directNoti...
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from random import * import numpy as np import time import logging import tkinter as tk from PIL import Image, ImageTk import pygame as pygame #************************************************************************* # Classe Paquet: # Une carte est representé par sa valuer, sa figure et le fichier image # le represa...
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from django.http import HttpResponse from django.shortcuts import render, redirect from django.contrib.auth import authenticate, login from django.contrib.auth.decorators import login_required from . import forms from .models import User from django.contrib.sites.shortcuts import get_current_site from django.utils.enco...
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""" This file contains puller implementations for XRay """ import logging from datetime import datetime from typing import Optional, Any, List, Set from samcli.lib.observability.observability_info_puller import ObservabilityEventConsumer from samcli.lib.observability.xray_traces.xray_event_puller import AbstractXRayPu...
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from __future__ import (absolute_import, division, print_function) from odm2api.ODMconnection import SessionFactory from odm2api.models import CVElevationDatum, setSchema import pytest __author__ = 'valentine' dbs_readonly = [ ['mysql:ODM@Localhost/', 'mysql', 'mysql+pymysql://ODM:odm@localhost/'], ['mysql...
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import argparse import os import re from django.apps import apps from django.db import models from django.conf import settings from django.core.files import File from django.core.management.base import BaseCommand _ = lambda x: x DB_PATTERN = re.compile(r'^\w+\.\w+/bytes/filename/mimetype$') class Command(BaseCom...
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# This feature can be used to reduce the memory size consumed by the feature layer of the top MLP. # Suppose we have n sparse features, each sparse features is represented by an embedding of size d, # then, we can represent the sparse embeddings by a matrix X = (n, d). The dot product between sparse # features is X(X^...
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""" Early fusion scorer (i.e., object-centric model using language modeling). @author: <NAME> @author: <NAME> """ from nordlys.logic.fusion.fusion_scorer import FusionScorer from nordlys.core.retrieval.elastic import Elastic from nordlys.core.retrieval.retrieval_results import RetrievalResults from collections import ...
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<filename>tests/bamResample.py<gh_stars>10-100 #!/usr/bin/env python import sys import re import pysam import random import os from optparse import OptionParser opts = OptionParser() usage = "usage: %prog [options] [inputs] Software to process aligned bam files and generate the XB (Cell Barcode) tag" opts = OptionPar...
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<gh_stars>0 # -*- coding: utf-8 -*- """ Created on Sun Jan 3 13:20:01 2021 @author: mclea """ import field as f import possion_matrix import MG import matplotlib.pyplot as plt k = 7 n = 2**k+2 m = 2**k+2 x = f.new_field(n, m, top=10, bottom=-10, left=0, right=0, bc=0) b = f.new_field(n, m, top=0, bottom=0, left=0, ...
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from __future__ import print_function from __future__ import absolute_import from __future__ import print_function from __future__ import absolute_import import numpy as np import tensorflow as tf from sandbox.rocky.tf.core.layers_powered import LayersPowered from sandbox.rocky.tf.core.network import MLP from sandbo...
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<reponame>stungkit/Copycat-abstractive-opinion-summarizer from nltk.util import ngrams as compute_ngrams import numpy as np from collections import OrderedDict X_AND_X_PROP = 'x_and_x_prop' X_AND_X_COUNT = 'x_and_x_count' UN_SENT_PROP_PROP = 'un_sent_prop' AVG_SEQ_LEN = 'avg_seq_len' UN_SENTS = 'un_sents' TOTAL_SENTS ...
StarcoderdataPython