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<gh_stars>0 # ##### BEGIN GPL LICENSE BLOCK ##### # # This program 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 2 # of the License, or (at your option) any later version. # # This progra...
StarcoderdataPython
3267410
#!/usr/bin/env python2 # -*- coding: utf-8 -*- import subprocess import tempfile #TODO: Cahge scrot backend to ImageMagic # Edit the image # https://wiki.archlinux.org/index.php/Taking_a_Screenshot SCREENSHOT_SOUND = '/usr/share/sounds/scru_shot.wav' class ScrotNotFound(Exception): """scrot must be installe...
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<filename>sql_queries.py # DROP TABLES songplay_table_drop = "DROP TABLE IF EXISTS f_songplays;" user_table_drop = "DROP TABLE IF EXISTS d_users;" song_table_drop = "DROP TABLE IF EXISTS d_songs;" artist_table_drop = "DROP TABLE IF EXISTS d_artists;" time_table_drop = "DROP TABLE IF EXISTS d_times;" # CREATE TABLES ...
StarcoderdataPython
104574
<filename>neurokit2/complexity/entropy_differential.py import numpy as np import pandas as pd import scipy.stats def entropy_differential(signal, base=2, **kwargs): """**Differential entropy (DiffEn)** Differential entropy (DiffEn; also referred to as continuous entropy) started as an attempt by Shannon ...
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import sqlite3 import datetime import time import logging import os from bot_constant import CQ_ROOT CQ_IMAGE_ROOT = os.path.join(CQ_ROOT, r'data/image') logger = logging.getLogger("CTB." + __name__) class FileDB: def __init__(self, db_name: str): self.conn = sqlite3.connect(db_name, check_same_thread=F...
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#!/usr/bin/python from datetime import datetime from datetime import timedelta #every = 4.9578 # ms every = 120 # returns the elapsed milliseconds since the start of the program def millis(): dt = datetime.now() - start_time ms = (dt.days * 24 * 60 * 60 + dt.seconds) * 1000 + dt.microseconds / 1000.0 re...
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<filename>pycuda/sparse/inner.py from __future__ import division from __future__ import absolute_import import pycuda.driver as drv import pycuda.gpuarray as gpuarray import atexit STREAM_POOL = [] def get_stream(): if STREAM_POOL: return STREAM_POOL.pop() else: return drv.Stream() class ...
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# Copyright 2020 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applica...
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from django.urls import path from django.contrib.auth.decorators import login_required from .views import HomePageView, ProfileView, ProfileEditView urlpatterns = [ path('', HomePageView.as_view(), name='home'), path('profile', login_required(ProfileView.as_view()), name='profile'), path('profile/edit', l...
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<gh_stars>0 # coding=utf-8 # Distributed under the MIT software license, see the accompanying # file LICENSE or http://www.opensource.org/licenses/mit-license.php. from dft.core.dftnode import dftNode from dft.generated.dft_pb2_grpc import AdminAPIServicer class AdminAPIService(AdminAPIServicer): # TODO: Separat...
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<filename>main/gui/Frames/HomeFrame.py from tkinter import Button, Frame import os from main.gui.Utilities.Settings import Settings import subprocess def launchVisualizationTool(path): os.system("python " + path) ''' The welcoming frame of the app Inherits from Frame Shows three buttons: create mod...
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# -*- coding: utf-8 -*- from requests import Response from requests.adapters import HTTPAdapter from requests.packages.urllib3.response import HTTPResponse from requests.packages.urllib3.poolmanager import PoolManager class MiddlewareHTTPAdapter(HTTPAdapter): """An HTTPAdapter onto which :class:`BaseMiddleware <...
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from .path_manager import PathManager from .path_handler import PathHandler, NativePathHandler from .http_path_handler import HTTPURLHandler from .redirect_path_handler import RedirectPathHandler from .utils import file_lock __all__ = ["PathManager", "PathHandler", "NativePathHandler", "HTTPURLHandler", "RedirectPathH...
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"""Setup for the texoopy package.""" import setuptools with open('README.md') as f: README = f.read() setuptools.setup( author="", author_email="", name='texoopy', license='', description='TeXooPy (texoopy) is a Python module that tackles the handling of TeXoo style JSON data.', version=...
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<reponame>mome0320/EZ-Bot import discord from discord.ext import commands class Userinfo(commands.Cog): def __init__(self, client): self.client = client # Commands @commands.command() async def 유저정보(self, ctx): if (ctx.message.mentions.__len__() > 0): for user in ctx.messa...
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<filename>brFinance/scraper/cvm/search.py import re import time from abc import ABC, abstractmethod from datetime import datetime from typing import Tuple, Any import lxml.html as LH import pandas as pd from selenium import webdriver from brFinance.utils.browser import Browser class Search(ABC): """ Perform...
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""" Copyright 2013 <NAME> This file is part of CVXPY. CVXPY 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. CVXPY is distributed in the ho...
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# -*- coding: utf-8 -*- import wx class MyFrame(wx.Frame): def __init__(self): wx.Frame.__init__(self, None, -1, "Menu01 Demo") wx.Panel(self) menu_bar = wx.MenuBar() # 创建菜单栏,不需要任何参数 self.menu1 = wx.Menu() # 创建菜单 self.str1 = self.menu1.Append(-1, "aaa") # 在...
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"""Random Forest classification and computation of assessment metrics.""" import numpy as np from imblearn.over_sampling import RandomOverSampler from imblearn.under_sampling import RandomUnderSampler from sklearn import metrics from sklearn.ensemble import RandomForestClassifier from raster import is_raster def tr...
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<gh_stars>0 #-*-coding: utf-8-*- from pyautogui import screenshot from os import chdir, mkdir from datetime import date from time import sleep if __name__ == '__main__': while True: try: chdir("C:\\{}".format(date.today())) except: mkdir("C:\\{}".format(date.today())) else: break count = 1 while Tru...
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<reponame>srihari-nagaraj/anuvaad from anuvaad_auditor.loghandler import log_info from anuvaad_auditor.loghandler import log_exception from anuvaad_auditor.loghandler import log_debug from collections import namedtuple from src.utilities.region_operations import collate_regions, get_polygon,sort_regions, remvoe_regions...
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''' Created on Mar 1, 2017 @author: PJ ''' from Scouting2017.model.reusable_models import Competition, Team, Match from Scouting2017.model.models2017 import ScoreResult from django.core.urlresolvers import reverse from django.http.response import HttpResponseRedirect from django.views.generic.base import TemplateView ...
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<filename>favicons/_constants.py<gh_stars>1-10 """Static values for one way import.""" SUPPORTED_FORMATS = (".svg", ".jpeg", ".jpg", ".png", ".tiff", ".tif") HTML_LINK = '<link rel="{rel}" type="{type}" href="{href}" />' ICON_TYPES = ( {"image_fmt": "ico", "rel": None, "dimensions": (64, 64), "prefix": "favicon"...
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<gh_stars>1000+ import os import sys from datetime import datetime from unittest import TestCase import pytest from six.moves import cStringIO as StringIO from pyinfra.operations import server from pyinfra_cli.exceptions import CliError from pyinfra_cli.util import get_operation_and_args, json_encode class TestCliU...
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<reponame>Muntasir-Mahmud/Django-GraphQL-Test # Generated by Django 3.1.3 on 2021-01-09 03:58 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('quiz', '0002_auto_20210109_0939'), ] operations = [ migration...
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<reponame>JihoChoi/BOJ """ TAG: 0-1 Knapsack Problem, Dynamic Programming (DP), O(nW) References: - https://www.geeksforgeeks.org/0-1-knapsack-problem-dp-10/ weights and values of n items, capacity -> max value """ N, W = map(int, input().split()) # number of items, capacity weights = [] values = [] for i in...
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<gh_stars>0 import json import logging from pathlib import Path from random import shuffle import discord from discord.ext import commands log = logging.getLogger(__name__) game_recs = [] # Populate the list `game_recs` with resource files for rec_path in Path("bot/resources/evergreen/game_recs").glob("*.json"): ...
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<filename>memae-anomaly-detection/models/loss.py import torch def get_memory_loss(memory_att): """The memory attribute should be with size [batch_size, memory_dim, reduced_time_dim, f_h, f_w] loss = \sum_{t=1}^{reduced_time_dim} (-mem) * (mem + 1e-12).log() averaged on each pixel and each batch 2. ave...
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import datetime import json import logging import stripe from braces.views import LoginRequiredMixin from channels import Channel from django.conf import settings from django.contrib import messages from django.core.urlresolvers import reverse from django.http import ( HttpResponse, HttpResponseRedirect, ) fro...
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<filename>funcionalidades/consulta.py<gh_stars>0 import requests class Consulta: def consultar(self): self.resultado = '' cep = self.tela_buscador.input_cep.text() url = requests.get(f'https://viacep.com.br/ws/{cep}/json/') try: endereco = url.json() if "er...
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<filename>examples/groups.py from roonapi import RoonApi appinfo = { "extension_id": "python_roon_test", "display_name": "Python library for Roon", "display_version": "1.0.0", "publisher": "gregd", "email": "<EMAIL>", } # Can be None if you don't yet have a token token = open("mytokenfile").read()...
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"""Folder structure of the platform.""" class Folders: """Class containing the relevant folders of the platforms. The members without underscore at the beginning are the exported (useful) ones. The tests folders are omitted. """ _ROOT = "/opt/dike/" _CODEBASE = _ROOT + "codebase/" _DATA ...
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#!/usr/bin/python # -*- coding: utf-8 -*- from pytunegen.constants import * import random import time class TuneGen: """Tune generator""" def __init__(self, seed = None, music_length = 50, scale = None, bpm = None, time_sig = None, note_jump_limit = 2.2, silence_percent = 1,...
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########################################################################## # MediPy - Copyright (C) Universite de Strasbourg, 2011 # Distributed under the terms of the CeCILL-B license, as published by # the CEA-CNRS-INRIA. Refer to the LICENSE file or to # http://www.cecill.info/licences/Lice...
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from django import forms from .models import FormModel class Forms(forms.ModelForm): class Meta: # in hindsight should have copied this App... then made...now server busted
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<filename>convert.py from absl import app, flags, logging from absl.flags import FLAGS import numpy as np from yolov3_tf2.models import YoloV3, YoloV3Tiny from yolov3_tf2.utils import load_darknet_weights import tensorflow as tf flags.DEFINE_string('weights', './data/yolov3.weights', 'path to weights file') flags.DEFI...
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from Node import Node import random as r def accept(currentIteration, iterations): return r.random() < (currentIteration / iterations) class Operation(object): BACK_MUTATION = 0 DELETE_MUTATION = 1 SWITCH_NODES = 2 PRUNE_REGRAFT = 3 NUMBER = 4 def __init__(self, type, node_name_1 = None...
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"""Message types.""" from functools import lru_cache from typing import Union, Optional, Type from typing_extensions import get_args from . import message_definitions as defs from ..constants import MessageId MessageDefinition = Union[ defs.HeartbeatRequest, defs.HeartbeatResponse, defs.DeviceInfoRequest...
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<reponame>tvuong123/espnet<filename>espnet/__init__.py import pkg_resources try: __version__ = pkg_resources.get_distribution('espnet').version except Exception: __version__ = '(Not installed from setup.py)' del pkg_resources
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<filename>tardis/model/tests/test_csvy_model.py import numpy as np import numpy.testing as npt import tardis import os from astropy import units as u from tardis.io.config_reader import Configuration from tardis.model import Radial1DModel import pytest DATA_PATH = os.path.join(tardis.__path__[0],'model','tests','data'...
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import os import time import boto3 from botocore.exceptions import ClientError from botocore.client import Config from django.utils.crypto import get_random_string from storages.utils import setting, lookup_env def get_bucket_name(): return setting("AWS_STORAGE_BUCKET_NAME") or lookup_env( ["DJANGO_AWS_S...
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import string class strprocess: """add all extra processing method """ def __init__(self): self.data="" self.tags=["</p>","</br>","<br/>","<br>","<p>","</P>"] self.marks=["/","?","-","!","@","#","$","%","^","*","(",")",";","{","}","~"] def makehtml(self,data): self.data="<"+"...
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<reponame>NaulaN/PyNoSoucisGame_Prototype from time import time from pygame.time import Clock class Fps( object ): """ Fps( ) -> Frames rate dependency. """ fps_foreground = 60 fps_background = 30 fps_limit = 60 __target_fps = 60 __s = 0 enable_fps_on_screen = False benchmark = False ...
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# Copyright (C) 2015 Nippon Telegraph and Telephone Corporation. # # 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 appli...
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<filename>code/HHV2020_07/Adafruit_Trinket_Neopixel_Strip_Cycle/main.py import board, time import neopixel # Define Neopixels LED7_PIN = board.D0 # pin that the NeoPixel is connected to # Most Neopixels have a color order of GRB or GRBW some use RGB LED7_ORDER = neopixel.GRB # pixel color channel order # Create NeoP...
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import matplotlib.pyplot as plt from matplotlib.lines import Line2D import numpy as np from ahfhalotools.objects import Cluster import ahfhalotools.filetools as ft import ahfhalotools.analysis as analysis ## -----------Load Cluster Instances--------------## #define base file name (these are for full files) fileNameBa...
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from yarl import URL class Urls: def __init__(self): self.protocol = "http://" self.base_url = "ethosdistro.com/" self.panel_id = "{panel_id}." self.no_pool_base_url = self.protocol + self.base_url self.json_query_param = {"json": "yes"} # Panel only URLs ...
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<gh_stars>0 # -*- coding: utf-8 -*- from sklearn.base import BaseEstimator, TransformerMixin # the TransformerMixin to ensure fit_transform() import pandas as pd import numpy as np #we collect the data Dataset = pd.read_csv('https://raw.githubusercontent.com/M-MSilva/Predict-NBA-player-Points-End-to-end-Project/master...
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""" This is the basic training script for the baseline MRI or CT Model It is used to train the source segmenter """ import os import sys import logging import datetime import argparse import tensorflow as tf from tensorflow.python import debug as tf_debug import source_segmenter as drn import numpy as np from lib impo...
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<filename>codeforces/santaclaus-748c.py<gh_stars>1-10 n = int(input()) moves = input() rev = { 'R':'L', 'U':'D', 'L':'R', 'D':'U' } seen = set() min_pts = 1 for move in moves: if rev[move] in seen: min_pts += 1 seen = set() seen.add(move) print (min_pts)
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<gh_stars>0 # Image Swipe 2 __all__ = [ "renderer", "imguiImage" ]
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from rest_framework import serializers from .models import Role class RoleSerializer(serializers.ModelSerializer): class Meta: model = Role fields = '__all__'
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<filename>neutron_tempest_plugin/scenario/test_dhcp.py # 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 #...
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<gh_stars>1-10 import aioredis from .settings import get_broker_settings async def connect_redis() -> aioredis.Redis: broker_settings = get_broker_settings() return await aioredis.create_redis(f"redis://{broker_settings.host}:{broker_settings.port}/{broker_settings.db}")
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# -*- coding: utf-8 -*- from __future__ import unicode_literals import sys import copy import time import json from functools import wraps from django.contrib import admin from django.conf import settings from django.core.cache import cache from django.core.exceptions import PermissionDenied from django.db.models im...
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import tensorflow as tf import numpy as np from tensorflow.keras import datasets from tensorflow.keras.preprocessing.image import ImageDataGenerator from tinyimagenet import * def get_data(dataset,path_to_data=None): aug_config={} if dataset.lower()=='mnist': (train_X,train_y),(test_X,test_y)=datasets.mnist.lo...
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dataset_type = 'WheatDataset' data_root = 'global-wheat-challenge/gwhd_2021/' img_norm_cfg = dict( mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True) albu_train_transforms = [ dict( type='ShiftScaleRotate', shift_limit=0.0625, scale_limit=0.0, rota...
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from .command import Command from .scenario_data import ScenarioData class Scenario(Command): def __init__(self, result_collector): super(Scenario, self).__init__(result_collector) def parse(self, path, repetition_name=None): self.result_collector.visit_by_scenario(ScenarioData(path[0], path[...
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<filename>S2.Surface_Normal/regNormalNet/regNormalNet.py<gh_stars>100-1000 # coding: utf8 """ @Author : <NAME> """ import os import torch.nn as nn import torch.utils.model_zoo as model_zoo from torch.autograd import Variable import torch from basic.common import rdict import numpy as np from easydict import Ea...
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import pytest from redis.exceptions import RedisError from rq.exceptions import NoSuchJobError from busy_beaver.models import Task, PostGitHubSummaryTask, PostTweetTask MODULE_TO_TEST = "busy_beaver.models.task" ########### # Base Task ########### def test_create_task(session): # Arrange task = Task( ...
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<gh_stars>0 import pathlib from enum import Enum, auto from typing import Any, Dict, List, Union from data_to_model.type_detectors.types import SimpleType CsvDataType = List[Dict[str, SimpleType]] JsonDataType = Dict[str, Any] Collection = Union[CsvDataType, Dict] class SupportedDataTypes(Enum): CSV = auto() ...
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<reponame>lumosan/deeplearning2018<gh_stars>0 # -*- coding: utf-8 -*- ################ Generic class ################ class Optimizer(object): """ Class for optimizers """ def __init__(self): self.model = None def step(self, *input): raise NotImplementedError def adaptive_lr(k...
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<gh_stars>1-10 #!/usr/bin/python # coding: utf-8 """Test the functionality of SASParser and GuinierParser""" __authors__ = ["<NAME>"] __license__ = "MIT" __date__ = "25/03/2021" import unittest import logging import io import contextlib from pathlib import Path from .. import dated_version as freesas_version from ....
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<reponame>christi-john/codechef-practice # REMISS for i in range(int(input())): A,B = map(int,input().split()) if A>B: print(str(A) + " " + str(A+B)) else: print(str(B) + " " + str(A+B))
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<reponame>ttx/storyboard # Copyright 2013 <NAME> <<EMAIL>> # 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...
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"""Setup script.""" import glob import os from setuptools import setup with open("README.md", "r") as fh: long_description = fh.read() def del_prefix(path): """Delete prefix path.""" return os.path.relpath(path, "src") packages = list(map( del_prefix, glob.glob("CardGames/resources/**/*", re...
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<gh_stars>0 import time import datetime import json import redis import threading import sys import RPi.GPIO as GPIO from .worker import Worker sys.path.append('..') from logger.Logger import Logger, LOG_LEVEL class RelayWorker(Worker): def __init__(self, config, main_thread_running, system_ready, relay_available, r...
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<filename>src/python/pants/backend/graph_info/tasks/cloc.py # coding=utf-8 # Copyright 2015 Pants project contributors (see CONTRIBUTORS.md). # Licensed under the Apache License, Version 2.0 (see LICENSE). from __future__ import (absolute_import, division, generators, nested_scopes, print_function, ...
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from unittest import TestCase from musicscore.musicxml.types.complextypes.attributes import Divisions class TestDivisions(TestCase): def setUp(self): self.divisions = Divisions(1) def test_divisions(self): result = '''<divisions>1</divisions> ''' self.assertEqual(self.divisions.to_s...
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import cv2 import ezdxf import numpy as np def draw_hatch(img, entity, color, mask): for poly_path in entity.paths.paths: # print(poly_path.path_type_flags) polygon = np.array([vertex[:-1] for vertex in poly_path.vertices]).astype(int) if poly_path.path_type_flags & 1 == 1: cv2...
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from PIL import Image, ImageDraw, ImageFont from math import ceil # pip install yapf, to install yapf # to run format, go to root folder # yapf -ir ./ --style ./yapf.conf # specify how large the canvas needs to be # size in pixels. # horizontal size is fixed at 430, # vertical size can vary based on how long the whole ...
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<reponame>Nikolas010101/Projects<filename>APIs/APIs 8 - Hashing/app/database.py from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker #SQLALCHEMY_DATABASE_URL = 'postgresql://<username>:<password>@<ip-address/hostname>/<database_name>' SQL...
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import sc2 from sc2 import run_game, maps, Race, Difficulty, position, Result from sc2.player import Bot, Computer from sc2.constants import * import sc2 from sc2 import Race, Difficulty from sc2.player import Bot, Computer from sc2.player import Human from sc2.ids.unit_typeid import UnitTypeId from sc2.ids.ability_id ...
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<filename>rastervision/new_version/learner/classification_learner.py import warnings warnings.filterwarnings('ignore') # noqa from os.path import join, isfile, isdir import zipfile import torch from torchvision import models import torch.nn as nn import torch.nn.functional as F from torch.utils.data import DataLoader...
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COLORS = dict([ ('CLEANUP', '\033[94m'), ('CREATE', '\033[92m'), ('INSTALL', '\033[92m'), ('SKIP', '\033[93m'), ('FAIL', '\033[31m'), ('DEFAULT', '\033[39m'), ('UNDEFINED', '\033[37m'), ('STATUS', '\033[36m') ]) def typed_message(message, message_type=None): color = COLORS.setdefaul...
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# Generated by Django 3.0.4 on 2020-06-02 01:51 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('profiles', '0003_app_label'), ] operations = [ migrations.AlterField( model_name='action', name='name', ...
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#!/usr/bin/env python from argparse import ArgumentParser import os import sys if __name__ == '__main__': arg_parser = ArgumentParser(description='list all files with given ' 'extension in directory') arg_parser.add_argument('--dir', default='.', ...
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""" validataclass Copyright (c) 2021, binary butterfly GmbH and contributors Use of this source code is governed by an MIT-style license that can be found in the LICENSE file. """ from validataclass.exceptions import ValidationError __all__ = [ 'RegexMatchError', ] class RegexMatchError(ValidationError): ""...
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<reponame>fury-gl/helios """VTK/FURY Tools This module implements a set o tools to enhance VTK given new functionalities. """ class Uniform: """This creates a uniform shader variable It's responsible to store the value of a given uniform variable and call the related vtk_program """ def __init...
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<filename>blog/__init__.py<gh_stars>0 from .blog import app
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<gh_stars>0 from galleries.igallery import IGallery from mnd_qtutils.qtutils import setup_widget_from_ui import os from pathlib import Path from pyrulo_qt.ui_configurable_selector import ConfigurableSelector from PySide2 import QtWidgets, QtGui, QtCore import galleries_qt class GalleryWizard(QtWidgets.QWidget): ...
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import screening as m import random import pymysql import csv import toml from collections import Counter, defaultdict from pyomo.environ import * from pyomo.opt import SolverFactory year = 2020 interview_number = 4 max_faculty_interview = 7 interview_low_score = 10 # Prints interviews with scores that low weights ...
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<reponame>TeamMacLean/stomatadetector<gh_stars>1-10 """ Module for dealing with Multi-TIFF metadata in Perkin ELmer .flex files. """ import xmltodict import tifffile as tf #flex_file = '/Users/macleand/Desktop/stomata_detector/Test images and output/Ok/002002002/002002002.flex' def count_planes_in_stack(flxml_arr):...
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#!/usr/bin/python # # Compute MMANA geometry for vertical delta antenna. # Copyright (C) 2005 <NAME> <<EMAIL>> # import math # Parameters of antenna MHz = 21.050 # Resonant frequency R = 0.001 # Wire radius # Wave length with experimental correction wave = 300/MHz * 1.0707 H = wave/3 * math.sin (math.pi / 3) print...
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<filename>tests/Unit/Evolution/Systems/NewtonianEuler/BoundaryConditions/DirichletAnalytic.py # Distributed under the MIT License. # See LICENSE.txt for details. import numpy as np import PointwiseFunctions.AnalyticSolutions.Hydro.SmoothFlow as hydro import Evolution.Systems.NewtonianEuler.TimeDerivative as flux de...
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import time import torch import random import itertools import numpy as np from argparse import ArgumentParser from torch.utils.data import DataLoader from .learning_approach import Learning_Appr class Appr(Learning_Appr): """ Class implementing the Riemannian Walk approach described in http://openaccess....
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#-*- coding:utf-8 -*- import requests import json import time import sys import imp imp.reload(sys) if __name__ == "__main__": def TencentReader(): url = "https://kdy.unisyou.net/yunpan/activity/doSign" head = {} head['User-Agent'] = 'Mozilla/5.0 (iPad; CPU OS 11_0 like Mac OS X) AppleWebKit...
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<filename>test/test_scrambling.py # # SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # try: import sionna except ImportError as e: import sys sys.path.append("../") import unittest import numpy as np import tensorf...
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<filename>barcodes/dxfwrite/tests/test_drawing.py #!/usr/bin/env python #coding:utf-8 # Created: 27.04.2010 # Copyright (C) 2010, <NAME> # License: MIT License __author__ = "mozman <<EMAIL>>" import os import re import unittest from dxfwrite import DXFEngine as dxf from dxfwrite.util import is_string class TestDraw...
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<gh_stars>1-10 #!/usr/bin/env python3 # # TW_fix_Strongs.py # # Copyright (c) 2021 unfoldingWord # http://creativecommons.org/licenses/MIT/ # See LICENSE file for details. # # Contributors: # <NAME> <<EMAIL>> # # Written Aug 2021 by RJH # Last modified: 2021-08-10 by RJH # """ Quick script to fix Strongs numbers in...
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# https://projecteuler.net/problem=20 def reverse_str(s): return s[::-1] def sum_str(a, b): if len(b) > len(a): return sum_str(b, a) reverseA = reverse_str(a) reverseB = reverse_str(b) i = 0 add = 0 result = [] while i < len(a): o1 = int(reverseA[i]) o2 = 0 ...
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__all__ = ['bin', 'login']
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journey_cost = float(input()) months = int(input()) saved_money = 0 for i in range(1, months+1): if i % 2 != 0 and i != 1: saved_money = saved_money * 0.84 if i % 4 == 0: saved_money = saved_money * 1.25 saved_money += journey_cost / 4 diff = abs(journey_cost - saved_money) if saved_mo...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # # Generated from FHIR 4.0.1-9346c8cc45 (http://hl7.org/fhir/StructureDefinition/ExampleScenario) on 2020-02-03. # 2020, SMART Health IT. import sys from dataclasses import dataclass, field from typing import ClassVar, Optional, List from .backboneelement import Backbon...
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import numpy as np def load_glove(gloveFile): ''' Requires packages: numpy gloveFile: string file path to txt file containing words and glove vectors returns a dictionary of words as keys and their corresponding vectors as values ''' f = open(gloveFile,'r', encoding='utf8') ...
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from tkinter import * from tkinter import ttk master = Tk() def on_write(*args): num = var.get() if len(num) > 0: if not num[-1].isdigit(): var.set(num[:-1]) else: var.set(num[:max_len]) max_len = 5 var = StringVar() var.trace('w', on_write) entrada = Entry(master,...
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def calculated_quadratic_equation(a = 0, b = 0, c = 0): r = a ** 2 + b + c return r print(calculated_quadratic_equation())
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def solve(input, days): # Lanternfish with internal timer t are the number of lanternfish with timer t+1 after a day for day in range(days): aux = input[0] input[0] = input[1] input[1] = input[2] input[2] = input[3] input[3] = input[4] input[4] = input[5] ...
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<filename>scripts/input-demand-analysis.py import pandas as pd #from datetime import datetime import numpy as np from mpl_toolkits.axes_grid1.inset_locator import inset_axes import matplotlib.pyplot as plt from scipy import interpolate # some processing stuff df = pd.read_excel( "data/cruise-arrivals.xlsx", dt...
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# # Copyright (c) 2020, Massachusetts Institute of Technology All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # Redistributions of source code must retain the above copyright notice, this # list o...
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