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######################################## # # These functions edit sessions # ######################################## from datetime import date, timedelta, datetime from skipole import FailPage, GoTo, ValidateError, ServerError from .. import sun, database_ops def fill_edit_sessions(skicall): """Populates the...
StarcoderdataPython
1681199
"""Parse luxtonik visibilities.""" import logging from .datatypes import Unknown LOGGER = logging.getLogger("Luxtronik.Visibilities") class Visibilities: """Class that holds all visibilities.""" visibilities = { 0: Unknown("ID_Visi_NieAnzeigen"), 1: Unknown("ID_Visi_ImmerAnzeigen"), ...
StarcoderdataPython
1657188
<reponame>pymike00/youtube-scripts import socket import sys import pyfiglet from rich.console import Console from rich.table import Table from utils import extract_json_data console = Console() class PScan: PORTS_DATA_FILE = "./common_ports.json" def __init__(self): self.open_ports = [] s...
StarcoderdataPython
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<filename>sublime/Plugins/Disable Word Completions/disable-word-completions-command.py import sublime import sublime_plugin class DisableCompletionListener(sublime_plugin.EventListener): def on_query_completions(self, view, prefix, locations): return ([], sublime.INHIBIT_WORD_COMPLETIONS)
StarcoderdataPython
1762587
from mykrobe.metagenomics.phylo import SpeciesPredictor from mykrobe.metagenomics.phylo import AMRSpeciesPredictor from mykrobe.metagenomics.models import MykrobePredictorPhylogeneticsResult
StarcoderdataPython
154499
<filename>examples/file/boxplot_multi.py from bkcharts import BoxPlot, output_file, show, defaults from bokeh.layouts import gridplot from bokeh.sampledata.autompg import autompg as df defaults.plot_width = 400 defaults.plot_height = 400 box_plot = BoxPlot(df, label='cyl', values='mpg', title="labe...
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height_cm = float(input("Enter your height in cm: ")) weight_kg = float(input("Enter your weight in kg: ")) height = height_cm / 100 bmi = weight_kg / (height * height) bmi_list = [{ "min": 0, "max": 18.5, "status": "underweight" }, { "min": 18.5, "max": 25, "status": "normal" }, { "min": ...
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import os import json import torch from utils import loadImage, write_text_detection_results, write_recognition_results import asterocr as ocr torch.set_num_threads(1) # read input image env_file = 'env_local.list' if os.path.isfile(env_file): with open(env_file) as f: for line in f: name, va...
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<gh_stars>0 __version__ = "0.0.1" # Keep these within their sub-modules: #from openmovement.load import * #from openmovement.process import *
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3331603
# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://doc.scrapy.org/en/latest/topics/items.html from scrapy import Item, Field from scrapy.loader.processors import TakeFirst class Company(Item): report_id = Field(output_processor=TakeFirst()) company_na...
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<filename>8.py<gh_stars>1-10 from __future__ import division """ If you want to divide floating point numbers, have this at the start of your file """ x= 5.2/2 print x """ This is just a list of a number of built in functions that Python uses. """ l1='abcd' l2=['a', 'X', 'm', 'd'] l3='' """ Check if a string is emp...
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import rpyc import uuid import os from rpyc.utils.server import ThreadedServer DATA_DIR = "/tmp/storage/" class StorageService(rpyc.Service): # exposed classes & methods ALIAES = ["storage"] def on_connect(self,conn): print("[+] Client Connected {}".format(conn._channel.stream.sock.getpeername())...
StarcoderdataPython
3382341
# -*- coding: utf-8 -*- """ Utils template tags """ # django from django import template register = template.Library() @register.filter def group(array, group_length): return zip(*(iter(array),) * group_length) @register.filter def get_item(dictionary, key): return dictionary.get(key) @register.filter(i...
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#import urllib.request import requests import collections import sys from collections import OrderedDict fobj = open("beer-list.txt", "r") beers = [] #get beers from file for line in fobj: beers.append(line.rstrip()) fobj.close() baseUrlStart = "http://localhost:61363/api/sitemap?url=https://untappd.com/search?...
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from datetime import timedelta # 3rd party imports from django.conf import settings from django.test import TestCase from django.test.utils import override_settings from django.urls import reverse from django.utils.timezone import now from libya_site.tests.factories import DEFAULT_USER_PASSWORD, UserFactory from regi...
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import os import hashlib import zipfile import simplejson as json from hmac import compare_digest from fcntl import flock, LOCK_EX, LOCK_NB from magic import Magic from time import sleep from datetime import datetime from pytz import timezone from rfc6266 import build_header from requests import Session from shutil imp...
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import numpy as np import tensorflow as tf from .simple_replay_memory import SimpleDataSet # util is used for AE from .util import conv2d, linear from ..base import BaseModel from functools import reduce from ..utils import onehot_actions class AutoEncoder(BaseModel): def __init__(self, name, sess, config): ...
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"Vectorization demonstration" from __future__ import print_function from gpkit import Model, Variable, Vectorize class Test(Model): """A simple scalar model Upper Unbounded --------------- x """ def setup(self): x = self.x = Variable("x") return [x >= 1] print("SCALAR") m = Te...
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<reponame>osamamagdy/addons-server from django.urls import re_path from . import views group_re = r'(?P<group>' + '|'.join(views.SERIES_GROUPS) + ')' group_date_re = r'(?P<group>' + '|'.join(views.SERIES_GROUPS_DATE) + ')' range_re = r'(?P<start>\d{8})-(?P<end>\d{8})' format_re = r'(?P<format>' + '|'.join(views.SERI...
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<reponame>Imperas/force-riscv # # Copyright (C) [2020] Futurewei Technologies, Inc. # # FORCE-RISCV is 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/LICENS...
StarcoderdataPython
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#!/usr/bin/env python3 import os from datetime import datetime from math import inf from subprocess import run class Restructor(object): def __init__(self, shell='bash'): self.rules = {} def add(self, target, prereqs, recipe=None): """Need an indirect rule? Just omit the recipe.""" ...
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<reponame>Open-Prose-Metrics/open_prose_metrics_app-core from linty.linty import lint_text
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<reponame>Flowm/move-on-helium-sensors #!/usr/bin/env python3 import argparse import datetime import logging import re logging.basicConfig(level=logging.DEBUG, format="%(asctime)-15s %(levelname)s %(message)s") def main(): argparser = argparse.ArgumentParser(description="Add timestamps to sensors log based on r...
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<filename>conversiones.py # -*- coding: utf-8 -*- """ Created on Sat Dec 23 13:07:10 2017 En este archivo (conversiones.py) se tendrán todos los factores de conversión útiles en la aplicación @author: samez """ import numpy#se importa para las funciones de seno, coseno y tangente def luminosidad_solar_a_vatios...
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from unittest import TestCase from openarticlegauge import models from openarticlegauge import config import json, redis, time ARCHIVE = [] @classmethod def mock_bulk(cls, bibjson_list): global ARCHIVE ARCHIVE += bibjson_list @classmethod def mock_bulk_blocked(cls, bibjson_list): global ARCHIVE ARCHI...
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while True: palabra = input ("Estás atrapado en un ciclo infinito.Ingresa la palabra secreta para dejar el ciclo:") if palabra == "chupacabra": break print("¡Has dejado el ciclo con éxito!")
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<filename>tests/manager/and_every_test.py # coding=utf-8 from __future__ import absolute_import, division, print_function, \ unicode_literals from unittest import TestCase from triggers.manager import TriggerManager, trigger_managers from triggers.runners import ThreadingTaskRunner from triggers.storages.base imp...
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'''A module for iterating though results from the FEC API. This module provides several useful utilities for iterating through paginated results from the `FEC API <https://api.open.fec.gov/developers>`_. The meat of this module is in the :class:`filing_iterator.FilingIterator` class, which encapsulates the logic of in...
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<filename>Python/Uti1016_Distancia.py<gh_stars>0 km = int(input()) print('{} minutos'.format(km*2))
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3236804
#!/usr/bin/envs python from statsnba import Game import pandas as pd import re import requests_cache requests_cache.install_cache('test_cache') game_id = '0020901226' def process_game_pbp(game_id): game = Game(game_id) playbyplay = game.PlayByPlay def event_to_dict(event): # TODO Kind of dirty...
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# check minimum requirements: python 3 and minimum torch version import sys import torch __version__ = '0.2.2' if sys.version_info[0] < 3: raise Exception("This only works with Python 3.5 or higher") if sys.version_info[1] < 5: raise Exception("This only works with Python 3.5 or higher") try: from p...
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from unittest.mock import MagicMock def mock_response(fixture_name): """ Accepts the name of a file in the fixtures directory Returns a mocked response object """ f = open("tests/fixtures/" + fixture_name, "r") fixture_content = f.read() response = MagicMock() response.content = fix...
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<gh_stars>1-10 # written by <NAME> # edited by <NAME> and <NAME> # 6/26/2013 # first version of figure of merit functions for automated # data processing from intermediatefunctions_firstversion import numpy import intermediatefunctions_firstversion as inter # this dictionary is required to know which figures of mer...
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import cv2 as cv import numpy as np img = cv.imread('Photos/cats.jpg') cv.imshow('Cats', img) blank = np.zeros(img.shape[:2], dtype= 'uint8') cv.imshow("Blank Image", blank) mask = cv.circle(blank.copy(), (img.shape[1]//2, img.shape[0]//2), 100, 255, -1) cv.imshow("mask", mask) mask2 = cv.rectangle(blank.copy(), (i...
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""" Module ------ LCExtract.py: Wrapper for lightcurve data extraction package Summary ------- Allows selection of file or manual input. Allows filter selection. Iterates through required entries retrieving available data summarising and plotting output """ # Self-authored package modules for i...
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"""Rules for writing tests with JUnit""" load("@bazel_skylib//lib:dicts.bzl", _dicts = "dicts") load( "@io_bazel_rules_scala//scala/private:common_attributes.bzl", "common_attrs", "implicit_deps", "launcher_template", ) load("@io_bazel_rules_scala//scala/private:common_outputs.bzl", "common_outputs") l...
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<filename>api/documents/migrations/0005_convert_null_to_empty.py # Generated by Django 3.1.2 on 2020-11-05 17:32 from django.db import migrations def convert_null_to_empty(apps, schema_editor): TeamMember = apps.get_model("documents", "Document") TeamMember.objects.filter(archived_reason__isnull=True).update...
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<reponame>capa89k/pyMeterBus import json from meterbus.wtelegram_body import WTelegramFrame from meterbus.exceptions import ( MBusFrameDecodeError, MBusFrameCRCError, FrameMismatch) class WTelegramSndNr(WTelegramFrame): @staticmethod def parse(data): try: if data[1] != 0x44: ...
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<filename>synapse/state/v2.py # Copyright 2018 New Vector 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 applica...
StarcoderdataPython
98827
import numpy as np import sys import os import pandas as pd from scipy import signal from sklearn.metrics import accuracy_score ########## Note: Using Professor's code as a starting template ######################## ######################################## ### Read images from train directory ### traindir = sys....
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<filename>facturapi/types/exc.py from dataclasses import dataclass from typing import Any, Dict class FacturapiException(Exception): ... class NoResultFound(FacturapiException): """No results where found""" class MultipleResultsFound(FacturapiException): """One result was expected but multiple were re...
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<filename>actors/actions/chase_action.py from actors.actions.action import Action class ChaseAction(Action): def __init__(self, target, movement): self.target = target self.movement = movement def on(self, actor, tile, root): target = self.target.with_area(root) x, y = target...
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from tir import Webapp import unittest class TECA700(unittest.TestCase): @classmethod def setUpClass(inst): inst.oHelper = Webapp() inst.oHelper.Setup("SIGATEC","11/12/2020","T1","D MG 01","28") inst.oHelper.Program("TECA700") def test_TECA700_001(self): self.oHelper.SetButton("Incluir") self.oHelper.Se...
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# Generated by Django 2.1.4 on 2021-08-26 02:45 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('api', '0008_auto_20210821_0037'), ] operations = [ migrations.AddField( model_name='rol', ...
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<filename>src/util/node.py from __future__ import annotations from src.util.state import State class Node: """ A* tree search node """ __slots__ = 'state', 'cost', 'heuristic', 'collisions', 'value', 'delta_f', 'parent', 'time' def __init__(self, state: State, cost: int, heuristic: int, collisi...
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<filename>IGM/ransac_contfit.py """ A continuum fitter class. This reads in a 1D spectrum and allows continuum fitting.""" import os import time import numpy as np import matplotlib matplotlib.use('TkAgg') #python 3 only import ipdb np.random.seed(1) from linetools.spectra import io as tio from scipy.signal import medf...
StarcoderdataPython
49121
<reponame>Darksidis/justiva-script import re import requests from bs4 import BeautifulSoup import urllib3 import schedule import time import regexp as r from const import login, password urllib3.disable_warnings() s = requests.Session() LOGIN_URL = 'https://justiva.ru/login' headers = { 'accept': 'text/html,app...
StarcoderdataPython
1790146
<gh_stars>1-10 import pandas as pd def user_cols(user_def_column_name, final_aoi_df, merged, analysis_names): # to keep columns from getting too long: new_cols = [] # if ID in shapefile, rename it otherwise join will fail if 'ID' in final_aoi_df.columns: final_aoi_df = final_aoi_df.rename(col...
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69933
import io from twisted.internet import reactor from ygo.card import Card from ygo.duel_reader import DuelReader from ygo.parsers.duel_parser import DuelParser from ygo.utils import process_duel def msg_select_unselect_card(self, data): data = io.BytesIO(data[1:]) player = self.read_u8(data) finishabl...
StarcoderdataPython
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from src.data_processing.data_wrangling import prepare_to_train_test_split import pickle5 as pickle from sklearn.model_selection import train_test_split from sklearn.linear_model import LinearRegression from sklearn.preprocessing import OneHotEncoder import pandas as pd imdb_dataframe = pd.read_csv("../data/processed...
StarcoderdataPython
4825415
#!/usr/bin/env python # -*- coding: utf-8 -*- # Copyright © 2007 Free Software Foundation, Inc. <https://fsf.org/> # # Licensed under the GNU General Public License, version 3 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://jxs...
StarcoderdataPython
3236706
<reponame>SamoraHunter/MPC-media-audit<gh_stars>0 import time from IPython.display import clear_output from selenium import webdriver from selenium.webdriver.common.by import By import math import atexit import wmi options = webdriver.ChromeOptions() #Enable for headless, driver should terminate on ...
StarcoderdataPython
73468
<filename>tests/routers/test_devicemanagement_router.py import json import pytest from zenossapi.apiclient import ZenossAPIClientError from zenossapi.routers.devicemanagement import DeviceManagementRouter, ZenossMaintenanceWindow, ZenossUserCommand, ZenossDeviceManagementAdmin import devicemanagement_resp pytest_plug...
StarcoderdataPython
25307
<filename>src/test_trained_webcam.py import math from sklearn import neighbors import os import os.path import pickle from PIL import Image, ImageDraw import face_recognition from face_recognition.face_recognition_cli import image_files_in_folder import cv2 #from webapp import db #from DB import Actor ALLOWED_EXTENSIO...
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16995
<reponame>1079278593/TreasureChest #!/usr/bin/python2.7 import os import KernelCollection # Check that weak binds can be missing, so long as we check for the magic symbol def check(kernel_cache): kernel_cache.buildKernelCollection("arm64", "/kext-missing-weak-bind/main.kc", "/kext-missing-weak-bind/main.kernel",...
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80726
from app.models import db, ma class School(db.Model): """School This table stores the configuration for each individual school. Schools are addressed through their short name. """ __tablename__ = 'school' id = db.Column(db.Integer, primary_key=True, unique=True, nullable=False) school_n...
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38332
<reponame>cheery/lever<filename>runtime/module_resolution.py from space import * import base import bon import evaluator import core import os import pathobj import stdlib import sys class ModuleScope(Object): def __init__(self, local, parent=None, frozen=False): self.cache = {} # maps absolute path -> mod...
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# Copyright 2014 NeuroData (http://neurodata.io) # Copyright 2016 The Johns Hopkins University Applied Physics Laboratory # # 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.ap...
StarcoderdataPython
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<reponame>thispl/checkpro from __future__ import unicode_literals import frappe from frappe.model.document import Document # @frappe.whitelist() # def case_count(batch): # count = frappe.db.count("Case",{"batch":batch}) # frappe.errprint(count) # b1 = frappe.get_all("Batch",{"name":batch}) # for b in ...
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<reponame>jpmarques19/tensorflwo-test # Standard Library import argparse import os import subprocess import sys from distutils.util import strtobool # Third Party from torch.cuda import device_count HOROVOD_PYTORCH_TEST_MNIST_SCRIPT = "./horovod_mnist.py" HOROVOD_MNIST_SCRIPT_NAME = "horovod_mnist.py" def launch_...
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x = float(1) y = float(2.8) z = float("3") w = float("4.2") print(x) print(y) print(z) print(w) # Author: <NAME>
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<filename>Project1/Code/scripts/flip_celebA.py """ @Author: <NAME> @Date: 2022.3.10 @Description: This script is to flip the image and their label without changing the L/R eye or brow or ears' direction. Which means, for the mask, we first flip the mask, then recover the label which has L/R att...
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<filename>feature_ranking/model/classifier_ditrl.py import torch.nn as nn from .feature_extractor import FeatureExtractor from .spatial.spatial_ext_linear import SpatialExtLinear from .temporal.temporal_pipeline import TemporalPipeline from model_def import define_model class ClassifierDITRL(nn.Module): def __i...
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<gh_stars>1-10 # Copyright (c) Microsoft Corporation. # SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception # This script prints the output of test failures that were recorded by `stl-lit.py -o TEST_LOG_FILENAME`. import json import sys if len(sys.argv) != 2: sys.exit(f"Usage: python {sys.argv[0]} T...
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<reponame>krantirk/keras-tuner<filename>kerastuner/engine/execution.py # Copyright 2019 The Keras Tuner Authors # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # https://www.apache.org/...
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<gh_stars>1-10 class Solution: def noOfWays(self, M, N, X): # code here if X > M * N: return 0 ways = [[0 for _ in range(M * N + 1)] for _ in range(N + 1)] for i in range(1, M + 1): ways[1][i] = 1 for i in range(2, N + 1)...
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"""Amazon S3 Text Write Module (PRIVATE).""" import csv import logging import uuid from distutils.version import LooseVersion from typing import Any, Dict, List, Optional, Tuple, Union import boto3 import pandas as pd from pandas.io.common import infer_compression from awswrangler import _data_types, _utils, catalog...
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<filename>setup_win(MPL2).py # Used successfully in Python2.5 with matplotlib 0.91.2 and PyQt4 (and Qt 4.3.3) from distutils.core import setup import py2exe import sys # no arguments if len(sys.argv) == 1: sys.argv.append("py2exe") # We need to import the glob module to search for all files. import glob # We ne...
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import pytest import os import boto3 from moto import mock_s3, mock_sqs @pytest.fixture(scope="function") def aws_credentials(): """Mocked AWS Credentials for moto.""" os.environ["AWS_ACCESS_KEY_ID"] = "testing" os.environ["AWS_SECRET_ACCESS_KEY"] = "testing" os.environ["AWS_SECURITY_TOKEN"] = "testin...
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import click import subprocess import os from os.path import abspath, dirname, join # Modify the path for node_modules local_env = os.environ.copy() local_env["PATH"] = "./node_modules/.bin" + os.pathsep + local_env["PATH"] # Run webpack def run_webpack(webpack_file, prod, opts=[]): prod_str = 'development' i...
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# Copyright (c) 2021, Hitachi America Ltd. 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 appli...
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<gh_stars>0 # SPDX-FileCopyrightText: 2020 <NAME> for Adafruit Industries # # SPDX-License-Identifier: MIT import time from datetime import datetime import board import digitalio import adafruit_max31855 from google.oauth2.service_account import Credentials from googleapiclient.discovery import build #--| User Config...
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import argparse import os import re import requests from hparams import hparams, hparams_debug_string from synthesizer import Synthesizer sentences = [] def get_output_base_path(checkpoint_path): base_dir = os.path.dirname(checkpoint_path) m = re.compile(r'.*?\.ckpt\-([0-9]+)').match(checkpoint_path) name = '...
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# 작성일 : 21-06-15 # 주제 : 문자열 # 난이도 : 하 # 문제명 : 그룹 단어 체커 # 문제설명 : 그룹단어란 문자가 연속해서 나타나는 경우를 말한다. 주어진 input값 중 그룹단어의 개수를 반환해라 # 백준 코드번호 : 1316 # 배운점 # 1. 전날 풀다가 안되어서 잠시 접었던 문제인데 오늘 아침에 다시 푸니 구현이 잘 되었다. # + 노트에 전체적인 틀 그려보기!! 도움이 되었다. # 역시 안되는 문제 계속 붙잡고 있는 거 보단 다른 쪽으로 잠깐 눈을 돌리는 것도 방법이라고 생각한다. 특히 프로그래밍할 때는 # 비슷한 맥...
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<gh_stars>0 import json import re from .struct_to_bio import struct_to_bio_dict, struct_to_bio_dict_rd from seqeval.metrics.sequence_labeling import get_entities def make_empty_ner_bio(struct_path, output_path): bio_dir = struct_to_bio_dict(struct_path, 1, use_tags=False) paragraphs = [] for doc_id in b...
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# -*- coding: utf-8 -*- import pickle import numpy as np from matplotlib import cm import cv2 from numba import jit @jit def CalMandelbrotSet_dat(row, col, N, nmg, colorlist): img = np.zeros((row,col,3),dtype=np.uint8) for i in range(row): for j in range(col): if nmg[i,j] < N: ...
StarcoderdataPython
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<gh_stars>1-10 #!/usr/bin/env python2 # -*- coding: utf-8 -*- import numpy as np from GT3.RadialTransport.Functions.CalcReducedMass import calc_reduced_mass from GT3.RadialTransport.Functions.CalcCoulLog import calc_coul_log_j_k def calc_nu_drag(n_j, m_j, v_tor_j, v_tor_k, mbal_rhs, nu_c): nu_drag = (mbal_rhs +...
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import numpy as np from matplotlib import __version__ as mpl_version from matplotlib import get_backend from matplotlib.path import Path from matplotlib.pyplot import close, subplots from matplotlib.widgets import LassoSelector from numpy import asanyarray, asarray, max, min, swapaxes from packaging import version fro...
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from django.conf import settings from celery import shared_task from sentry_sdk import capture_exception from app.content.models.strike import create_strike from app.util.mail_creator import MailCreator from app.util.notifier import Notify from app.util.utils import datetime_format @shared_task def event_sign_off_d...
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<reponame>Smiggel/home-assistant-custom-components<gh_stars>10-100 """ Support for Volkswagen Carnet platform. Customized for VW T-ROC. """ import logging from custom_components.volkswagencarnet import VolkswagenEntity, RESOURCES from homeassistant.components.binary_sensor import BinarySensorDevice _LOGGER = logging.g...
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import sys import requests import datetime import json import urlparse if len(sys.argv) > 1: root_url = sys.argv[1] else: root_url = 'http://localhost:8080/' #root_url = 'http://meta-vm0/' #root_url = 'http://kms1.isis.vanderbilt.edu:9999/' node_prefix = 'template-test-slave' num_new_s...
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""" By Dr <NAME> -Q, NAOC v1 2019-04-27 """ import numpy as np from..util import * def ydn2md(): pass #;------------------------------------------------------------- #;+ #; NAME: #; YDN2MD #; PURPOSE: #; Convert from year and day number of year to month and day of month. #; CA...
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<reponame>mac-marg-pianist/visualizer_experiment import json MATCH_FILE = 'chrome-music-lab/pianoroll/custom_data/Ali01_match.txt' OUT_FILE = 'chrome-music-lab/pianoroll/custom_data' def time_to_tick(time, tempo=216): return round(time*tempo) def pitch_to_midi_pitch(step, alter, octave): """Convert MusicXML pit...
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<reponame>tiwilliam/sverigesradio<gh_stars>1-10 # -*- coding: utf-8 -*- import re import json import requests from datetime import datetime class Song(object): def __init__(self, artist=None, title=None, description=None, composer=None, conductor=None, **kwargs): self.artist = artist.enc...
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import tkinter from tkinter import * root=tkinter.Tk() root.geometry("1366x768+0+0") root.title("Login Page") mi=PhotoImage(file="Aman.gif") L3=Label(root,image=mi,font=("arial",15),bg="black",fg="white") L3.place(x=0,y=0) E1=Entry(root,font=("Comic Sans MS",18),fg="green") E1.place(x=725,y=245) E2=Entry(root...
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<filename>src/anaplan_api/ImportTask.py from .TaskFactory import TaskFactory from .AnaplanConnection import AnaplanConnection from .Action import Action from .ParameterAction import ParameterAction from .Parser import Parser from .ImportParser import ImportParser class ImportTask(TaskFactory): """Factory to generate...
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import matplotlib.mlab as mlab import matplotlib.pyplot as plt import copy from load_toys_rev import * filename = 'data/toys_rev2_sample10.csv' sample_factor = 10 toy_list = load_toys_rev(filename) count = [0]*3000 timesum = [0]*3000 for toy in toy_list: if toy.duration < 3000: timesum[toy.duration] += ...
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<filename>auto_process_ngs/stats.py #!/usr/bin/env python # # stats.py: utilities for generating run-related statistics # Copyright (C) University of Manchester 2016-19 <NAME> # ######################################################################### """ stats.py Classes and functions for collecting and repo...
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<gh_stars>0 """"""""""""""""""""""""""""""""""""""""" # @author sonus # @date 02 - Apr - 2016 # @copyright sonus # GitHub http://github.com/sonus21 """"""""""""""""""""""""""""""""""""""""" from django import forms from django.contrib.auth.forms import UserCreationForm from django.contrib.auth.models import User from...
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<reponame>mgrsantox/flask-mini<gh_stars>0 from flask import Flask from os import environ from . import config, users, routes from .databse import db, migrate def init_app(): """Initialize the core application.""" app = Flask(__name__, instance_relative_config=False) flask_env = environ.get("FLASK_ENV", No...
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<filename>qualification/filters.py import django_filters from django_filters import CharFilter from .models import * from django import forms class QualificationFilter(django_filters.FilterSet): field=CharFilter(label='Field of Study',field_name='field',lookup_expr='icontains',widget=forms.TextInput(attrs={"placehold...
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import cv2 import numpy as np from sklearn.neighbors import NearestNeighbors def nearest_neighbor(src, dst): ''' Find the nearest (Euclidean) neighbor in src for each point in dst Input: src: template points dst: destination points Output: distances: Euclidean distances of the ...
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<reponame>fredmosc/RNNP-ITAIPU #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue May 22 2021 @author: jasmine 1) Preparar dados 2) Criar o modelo (input, output size, forward pass) 3) Criar a função de erro (loss) e o otimizador 4) Executar treinamento """ import os import matplotlib.pyplot as plt i...
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<filename>src/geometry_transferring/perspective_transformation.py<gh_stars>0 import cv2 import numpy as np from matplotlib import pyplot as plot img=cv2.imread('must_logo.png') rows,cols,ch=img.shape pts1 = np.float32([[56,65],[368,52],[28,387],[389,390]]) pts2 = np.float32([[0,0],[300,0],[0,300],[300,300]]) M=cv2.ge...
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from random import gauss class MultiRotor: """Simple vertical dynamics for a multirotor vehicle.""" GRAVITY = -9.81 def __init__( self, altitude=10, velocity=0, mass=1.54, emc=10.0, dt=0.05, noise=0.1 ): """ Args: altitude (float): initial altitude of the vehicle...
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<filename>old_source_code/Experiment 4 Extended Game Convergency/plotting_epoch.py ''' Create plots for experiments ''' import numpy as np import matplotlib.pyplot as plt import pickle import seaborn as sns sns.set('paper') results_dir = 'results' plot_dir = 'plots' experiment_name='baseline_3p5c' iterations=50000 ma...
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# # # 0=================================0 # | Kernel Point Convolutions | # 0=================================0 # # # ---------------------------------------------------------------------------------------------------------------------- # # Callable script to start a training on Myhal...
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from requests_futures.sessions import FuturesSession import os session = FuturesSession(max_workers = 10) def make_logs_query(log): log_id = log['code'] query = """ { reportData{ report(code: "%s"){ fights(difficulty: 5){ name id averageItemLevel ...
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""" Handlers for video module. StudentViewHandlers are handlers for video module instance. StudioViewHandlers are handlers for video descriptor instance. """ import json import logging import math from django.core.files.base import ContentFile from django.utils.timezone import now from edxval.api import create_exte...
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<filename>tk_ui/admin.py import abc import tkinter as tk from tkinter import messagebox as msg from tkinter import ttk from _tkinter import TclError from conf import Config from core.garbage import GarbageBag from core.user import User from equipment.scan_garbage import write_gid_qr, write_all_gid_qr from equipment.sc...
StarcoderdataPython