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import subprocess from pathlib import Path from typing import List, Optional, Sequence import shutil import os from flacmirror.options import Options # We need this so that the child processes do not catch the signals ... def preexec_function(): os.setpgrp() def check_requirements(options: Options) -> bool: ...
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<reponame>ifwe/digsby import wx from gui.uberwidgets import UberWidget from gui import skin from gui.skin.skinobjects import SkinColor,Margins from cgui import SimplePanel objget = object.__getattribute__ class PanelFrame(SimplePanel, UberWidget): ''' Frame for panels in the buddylist ''' def __init_...
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import geopandas as gpd # not used anymore - converts esri jobs shapefile to a csv # see assign_jobs_lat_lng.py gdf = gpd.GeoDataFrame.from_file("est10_esri_gt1.shp") gdf = gdf.to_crs(epsg=4326) fname_map = { 'Duns_Numbe': 'duns_number', 'Business_N': 'business_name', 'Emp_Total': 'total_employment', ...
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from threading import Thread from tanager_feeder import utils from tanager_feeder.connection_checkers.connection_checker import ConnectionChecker class Listener(Thread): def __init__(self, connection_manager: utils.ConnectionManager, connection_checker: ConnectionChecker): Thread.__init__(self) s...
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<gh_stars>10-100 try: from functools import cache except ImportError: from functools import lru_cache def cache(f): return lru_cache(maxsize=None)(f) import shlex try: join_command_terms = shlex.join except AttributeError: def join_command_terms(terms): return ' '.join(shlex.quot...
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<gh_stars>0 import falcon.testing import pytest import sqlalchemy as sa import marshmallow as mm import marshmallow_sqlalchemy as mms import falcon_helpers.sqla.orm as orm import falcon_helpers.sqla.db as db from falcon_helpers.middlewares.marshmallow import MarshmallowMiddleware @pytest.fixture() def client(): ...
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"""Host Model""" from cbw_api_toolbox.cbw_objects.cbw_package import CBWPackage from cbw_api_toolbox.cbw_objects.cbw_server import CBWCve from cbw_api_toolbox.cbw_parser import CBWParser class CBWHost: """Host Model""" def __init__(self, id, # pylint: disable=redefined-builtin ...
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''' @author: <NAME> @summary: Holds all the utilities functions required to support batch_requests. ''' from __future__ import absolute_import, unicode_literals import six from django.test.client import RequestFactory, FakePayload from batch_requests.settings import br_settings as _settings # Standard WSGI support...
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from django.test import TestCase class StoreDomainTestCase(TestCase): ...
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<filename>learning/oscilloscope/aom_power_change.py import sys sys.path.append("D:\\Control\\PythonPackages\\") import SingleChannelAO import tektronix #pixels where the height is the data #background is where there isnt data #time scale must be 500ns per square pulse_range = (330, 470) background_range = (0, 150)...
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<filename>setup.py from setuptools import setup setup( name='csv_locate', version='0.1', py_modules=['csv_to_json'], install_requires=[ 'click', 'colorama', 'geocoder', 'geojson', 'jinja2', ], entry_points=''' [console_scripts] csv_locate=...
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<reponame>lmrissi/piloto_geodjango<gh_stars>0 import os from django.contrib.gis.utils import LayerMapping from .models import pocos # Auto-generated `LayerMapping` dictionary for pocos model pocos_mapping = { 'proprietario': 'proprietar', 'orgao': 'orgao', 'data_perfuracao': 'data_perfu', 'pro...
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import logging import os from dvc.repo import locked from dvc.repo.scm_context import scm_context from dvc.scm.base import RevError from dvc.utils.fs import remove from .base import ( EXEC_APPLY, ApplyConflictError, BaselineMismatchError, InvalidExpRevError, ) from .executor.base import BaseExecutor ...
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from abc import ABC, ABCMeta, abstractmethod, abstractproperty from torch.nn import Module, MSELoss, Linear from torch.optim import Adam import torch from torch.autograd import Variable import torch.nn.functional as F from torch import FloatTensor import os import matplotlib as mpl import torch.nn as nn mpl.use('Agg')...
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<filename>mundo3/ex114.py import urllib.request try: urllib.request.urlopen('http://www.pudin.com.br') except: print('Deu erro.') else: print('Tudo ok')
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from .formulas import get_mappings from .workspace import workspace from .workspace_structure import WorkspaceStructure class Correspondence(WorkspaceStructure): def __init__( self, object_from_initial, object_from_target, concept_mappings, flip_target_object, ): ...
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<reponame>dry923/scribe from . import ScribeModuleBaseClass from . lib.util import validate_length import re as _re class Cpuinfo(ScribeModuleBaseClass): def __init__(self, input_dict=None, module_name=None, host_name=None, input_type=None, scribe_uuid=None): ScribeModuleBaseClass.__init...
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import numpy as np import pandas as pd from pandas import DataFrame, Series import matplotlib.pyplot as plt num = np.array(['3.14','-2.7','30'], dtype=np.string_) #코드 이해 쉽게 : dtype=np.string_ # num=num.astype(int) # print(num) # ValueError: invalid literal for int() with base 10: '3.14' num=num.astype(float)....
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<gh_stars>100-1000 # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/adapters.prophet.ipynb (unless otherwise specified). __all__ = ['AutoARIMAProphet'] # Cell import sys from copy import deepcopy import numpy as np import statsmodels.api as sm import pandas as pd from ..arima import AutoARIMA if sys.version_info.min...
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<reponame>juan0tron/wagtailmedia from django.apps import AppConfig class WagtailMediaAppConfig(AppConfig): name = 'wagtailmedia' label = 'wagtailmedia' verbose_name = "Wagtail media"
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# Copyright {% now 'local', '%Y' %} {{ cookiecutter.author }} # See LICENSE for details. import io from setuptools import setup, find_packages def readme(): with io.open('README.md', encoding='utf-8') as f: return f.read() def requirements(filename): reqs = list() with io.open(filename, encodin...
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import os import time import datetime # The sum of elements in celeba test data recognition & not recognition ≠ the number of celeba test data. # So I code this to detect repeat elements. # a:celeba test data; b:recognition; c:not recognition # There are 5 cases: # 1.in b+c not in a # 2.in a not in b+c # 3.in b and in...
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<filename>migrations/0009_add_api_key_to_user.py from playhouse.migrate import PostgresqlMigrator, migrate from redash.models import db from redash import models if __name__ == '__main__': db.connect_db() migrator = PostgresqlMigrator(db.database) with db.database.transaction(): column = models.U...
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<filename>egs2/ptbr/asr1/relatorio/recognize.py import os import io import copy import yaml import torch import shutil import zipfile import librosa import numpy as np from pathlib import Path from os.path import abspath, join, exists, dirname, isfile, isdir from typing import Tuple, Any, Dict, Union, Type...
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<gh_stars>1-10 #!/usr/bin/python3 # coding: utf-8 # Contributors: # --------------- # (I lost interest in this project, make good use of what code is here) Also FYI, When I told you that you should make a community chat this isn't what I meant. # @inc0gnit0 # @ # @ # Colors. Red = '\033[91m' Cyan = '\033[96m' Pi...
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from shared_config import * word_size = 7 num_words = 256 words_per_row = 4 local_array_size = 25 output_extended_config = True output_datasheet_info = True netlist_only = True nominal_corner_only = True
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#2790---Ioanna---Papagianni def findLimits(): with open('Beijing_restaurants.txt', 'r', encoding = 'UTF-8') as df1: lineNum = 0 maxX = 0 maxY = 0 minX = 200 minY = 200 try: df1.__next__() except StopIteration: print('StopIter...
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#!/usr/bin/env python # Copyright (c) 2011, <NAME>, Inc. # 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, thi...
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<filename>Lesson 5 Miniflow/Backpropagation/nn.py import numpy as np from miniflow import * X, W, b = Input(), Input(), Input() y = Input() f= li
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import basilica import os from dotenv import load_dotenv load_dotenv() BASCILICA_API_KEY=os.getenv("BASCILICA_API_KEY", default="oops") sentences = [ "This is a sentence!", "This is a similar sentence!", "I don't think this sentence is very similar at all...", ] with basilica.Connection(BASCILICA_API_KEY)...
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from distutils.core import setup setup( name='pyASA', packages=['pyASA'], version='0.1.0', description='Wrapper for the Cisco ASA REST API', author='xpac', author_email='<EMAIL>', url='https://github.com/xpac1985/pyASA', download_url='https://github.com/xpac1985/pyASA/tarball/0.1.0', ...
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<filename>framework/generated/vulkan_generators/vulkan_command_buffer_util_header_generator.py #!/usr/bin/python3 -i # # Copyright (c) 2018-2019 Valve Corporation # Copyright (c) 2018-2019 LunarG, Inc. # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated doc...
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#!/usr/bin/env python3 # coding: UTF-8 import requests, socket, re, time import os, json, datetime, subprocess, calendar from requests_oauthlib import OAuth1Session from bs4 import BeautifulSoup import collections as cl from flask import Flask, render_template, request, jsonify # chromium用 Selenium from selenium impor...
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import itertools def prune(compare): toPrune = set(test[0]).issubset(compare[0]) and test[1] > compare[1] print(toPrune) return not(toPrune) tests = [ [[["a"], 0.9], [["b"], 0.2], [["c"], 0.1]], [[["a","b"], 0.3], [["b","c"], 0.4], [["a","c"], 0.7]], [[["a","b","c"], 0.1], [["d","e","f"],0.01]] ] fo...
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import pickle import os from modules.nlp_engine.model_builder.trainer import Trainer from modules.services.auth_service import AuthService from modules.data.dao.broker_dao import BrokerDao from modules.data.dao.trained_classifier_dao import TrainedClassifierDao from modules.utils.yaml_parser import Config import loggin...
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# -*- coding: utf-8 -*- import copy import redis from nose.tools import eq_, ok_ from ddtrace import Pin, compat from ddtrace.contrib.redis import get_traced_redis, get_traced_redis_from from ddtrace.contrib.redis.patch import patch, unpatch from ..config import REDIS_CONFIG from ...test_tracer import get_dummy_trac...
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<reponame>sayakpaul/ConvNeXt-TF from tqdm import tqdm import os """ Details about these checkpoints are available here: https://github.com/facebookresearch/ConvNeXt#results-and-pre-trained-models. """ imagenet_1k_224 = { "convnext_tiny": "https://dl.fbaipublicfiles.com/convnext/convnext_tiny_1k_224_ema.pth", ...
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# -*- coding: utf-8 -*- # Generated by Django 1.11.7 on 2018-06-22 12:08 from __future__ import unicode_literals from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.Crea...
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<filename>Solutions/Solution_Problem_4.py mass = int(input("Qual seu peso? ")) height = int(input("Qual seu tamanho? ")) def calcIMC(mass, height): mass = mass * 10000 phisicalCondition = mass / (height ** 2) print("IMC: ", phisicalCondition) calcIMC(mass, height)
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<gh_stars>0 # coding: utf-8 # # Copyright 2022 :Barry-Thomas-Paul: Moss # # Licensed under the Apache License, Version 2.0 (the "License") # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http: // www.apache.org/licenses/LICENSE-2.0 # # Unless required...
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from scipy.optimize import fsolve import math def equations(p): #vin, imax = p #return (-78*vin + 3700*imax-2194*vin*imax-23410*imax**2+22.9*vin**3+716382*imax**3) #vin, imax = fsolve(equations, (0.9, 0.01)) #print (equations((vin, imax))) fnom = p return(3.7442024014121142e04 + -6.846677e-05*fnom ...
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from flask_restful import reqparse from werkzeug.datastructures import FileStorage blog_create_parser = reqparse.RequestParser(bundle_errors=True) blog_create_parser.add_argument("title", type=str, required=True) blog_create_parser.add_argument("content", type=str, required=True) blog_create_parser.add_argument( "...
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# -*- coding: utf-8 -*- from ccxt.async.base.exchange import Exchange import hashlib from ccxt.base.errors import ExchangeError class mixcoins (Exchange): def describe(self): return self.deep_extend(super(mixcoins, self).describe(), { 'id': 'mixcoins', 'name': 'MixCoins', ...
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<gh_stars>0 # Copyright (c) OpenMMLab. All rights reserved. import os.path as osp from mmcv.runner.hooks import EvalHook, DistEvalHook class MyEvalHook(EvalHook): def _save_ckpt(self, runner, key_score): """Save the best checkpoint. It will compare the score according to the compare function, wr...
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<filename>editor_api/database/output/aquifer.py from peewee import * from .base import OutputBase class Aquifer(OutputBase): flo = DoubleField(null=True) stor = DoubleField(null=True) rchrg = DoubleField(null=True) seep = DoubleField(null=True) revap = DoubleField(null=True) dep_wt = DoubleField(null=True) no3...
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# Echo client program import socket import matplotlib.pyplot as plt import numpy as np def importar(arquivo): s=[] t=[] flag=0 l=[] with open(arquivo) as csvfile: spamreader = csv.reader(csvfile, delimiter='\t', quotechar=',') for row in spamreader: if(len(row)>2): s.append(float(...
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""" * * Author: <NAME>(coderemite) * Email: <EMAIL> * """ i=input a=i() exec('b=['+'i(),'*10+']') b=dict(zip(b,range(10))) for i in range(0,len(a),10): print(b[a[i:i+10]],end='')
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<filename>framework3d/speech.py import platform if platform.system()=="Linux": import espeak.core else: from accessible_output2.outputs import auto o=auto.Auto() def speak(text,interrupt=True): if platform.system()=="Linux": if interrupt: espeak.core.cancel() return espeak.core.synth(text) else: o.braille...
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# finds 2 specific elements of a list for 3 qubits (101 and 110) import numpy as np import matplotlib.pyplot as plt from qiskit import QuantumCircuit, transpile from qiskit.providers.aer import QasmSimulator from qiskit.visualization import plot_histogram # Apply an H-gate to n# of qubits def initialize_s(QuantumCirc...
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<reponame>OpenMDAO-Plugins/nastranwrapper from openmdao.main.api import Component from openmdao.lib.datatypes.api import Float from openmdao.lib.components.nastran.nastran import NastranComponent class Bar3Dynamic(NastranComponent): """ Dynamic model of three bar truss """ lumpedmass = Float(1., nastran_car...
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<reponame>julio-navarro-lara/thesis_scripts<filename>experiment_9/morwilog_v10/phase2_execution.py #Copyright 2018 <NAME> #Built at the University of Strasbourg (France). CSTB team @ ICube laboratory #12/06/2018 import random import math from library import * def roulette_choice(choices): max = sum(choices.value...
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class Error(): def __init__(self): print("An error has occured !") class TypeError(Error): def __init__(self): print("This is Type Error\nThere is a type mismatch.. ! Please fix it.")
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<filename>factory-ai-vision/EdgeSolution/modules/WebModule/backend/vision_on_edge/azure_training/tests/test_drf_urls.py """DRF url tests """ import pytest from django.urls import resolve, reverse from vision_on_edge.azure_training.models import Project pytestmark = pytest.mark.django_db def test_project_detail(pro...
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# Clean data for predicting import pandas as pd import numpy as np import scipy.sparse as sparse import pickle import os import ipdb import gc from sklearn.cluster import MiniBatchKMeans from joblib import Parallel, delayed from departments import all_departments, top_upcs train = test = labels = features = None gr...
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# # SPDX-FileCopyrightText: Copyright (c) 2021-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved. # SPDX-License-Identifier: Apache-2.0 # """ Channel sub-package of the Sionna library implementing 3GPP TR39.801 models. """ # pylint: disable=line-too-long from .antenna import AntennaElement, AntennaPanel, Pane...
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#!/usr/bin/python3 # -*- coding: utf-8 -*- #------------------------------------------------------------------------------- # Copyright (C) 2015-2016 <NAME> <<EMAIL>> # Use of this source is governed by the MIT license, see LICENSE file. #------------------------------------------------------------------------------- ...
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<reponame>elifesciences/elife-cleaner<filename>tests/helpers.py<gh_stars>0 import io import os import importlib def delete_files_in_folder(folder, filter_out=None): file_list = os.listdir(folder) for file_name in file_list: file_path = os.path.join(folder, file_name) if filter_out and file_nam...
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<gh_stars>100-1000 import os from setuptools import find_packages, setup version = None with open("README.md") as ref: data = ref.readlines()[2] version = data[data.find("version-v")+9:data.find("-blue")] assert version is not None, data cwd = os.path.dirname(os.path.abspath(__file__)) def write_version...
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# Tests for subclasses of Immutable # # Written by <NAME> # import unittest from immutable import Immutable, ImmutableTuple class Test1(Immutable): def __init__(self, a, b): self.a = a self.b = b class Test2(Test1): def __init__(self, a, b, c): Test1.__init__(self, a, b) se...
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<reponame>Andrew-Chen-Wang/django-infinite-scroll from django.urls import path from django.views.generic import TemplateView from . import views urlpatterns = [ path("", TemplateView.as_view(template_name="index.html")), path("function/", views.index, name="function"), # path("class/", views.all_view, name...
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<gh_stars>0 from daphne_context.models import UserInformation from dialogue.param_extraction_helpers import sorted_list_of_features_by_index, crop_list def extract_example(processed_question, number_of_features, user_information: UserInformation): # Get a list of examples examples = ["example1", "example2", "...
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<gh_stars>1-10 """MetroRail Station related structures """ from enum import Enum from typing import Any, Optional class Station(Enum): """A MetroRail Station """ A01 = "A01" A02 = "A02" A03 = "A03" A04 = "A04" A05 = "A05" A06 = "A06" A07 = "A07" A08 = "A08" A09 = "A09" A...
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<reponame>boroivanov/ecr-tools<gh_stars>1-10 import pytest from click.testing import CliRunner @pytest.yield_fixture(scope='session') def runner(): ''' Setup a Python Click cli runner, this gets executed for each test function. ''' yield CliRunner()
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from dags.dag import concatenate_functions from dags.dag import get_ancestors __all__ = [ "concatenate_functions", "get_ancestors", ]
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""" ======================================== Robust Soft Learning Vector Quantization ======================================== This example shows the different glvq algorithms and how they project different data sets. The data sets are chosen to show the strength of each algorithm. Each plot shows for each data point w...
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<filename>GUAP/generate_perturbation.py #!/usr/bin/env python # coding: utf-8 from __future__ import division from __future__ import print_function import os import time import argparse import numpy as np import math import torch import torch.nn.functional as F import torch.optim as optim from torch.autograd import...
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# Example 2: Real threads import thredo def func(n, label): total = 0 while n > 0: total += n n -= 1 if n % 10_000_000 == 0: print(label, n) return total def main(): t1 = thredo.spawn(func, 60_000_000, 'thread-1') t2 = thredo.spawn(func, 40_000_000, 'thread...
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<reponame>kjappelbaum/pymatgen<filename>pymatgen/command_line/tests/test_mcsqs_caller.py import os import unittest from monty.os.path import which from monty.serialization import loadfn from pymatgen import Structure from pymatgen.command_line.mcsqs_caller import run_mcsqs from pymatgen.util.testing import PymatgenTe...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ This file is to query and download data from PubMed @author: <NAME> @ Metis, 02/12/2021 """ #%% from pymed import PubMed from util import save_as_pickle from collections import defaultdict #%% pubmed = PubMed(tool="MyTool", email="") query = ['((traumatic brain injur...
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<reponame>astamm/geomstats """Unit tests for the 3D heisenberg group in vector representation.""" import geomstats.backend as gs import geomstats.tests from geomstats.geometry.heisenberg import HeisenbergVectors class TestHeisenbergVectors(geomstats.tests.TestCase): def setup_method(self): self.dimension...
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<reponame>StrayRobots/stray def transform_points(T, points): R = T[:3, :3] t = T[:3, 3] return (R @ points[..., :, None])[..., :, 0] + t
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import os import sys import hou import struct class pcache(object): fileName = "" fileType = 'a' fileVersion = 1.0 propertyNames = [] propertyTypes = [] propertyData = bytearray() itemcount = 0 itemstride = 0 defaultBindings = { 'P': 'position', 'N': 'normal', ...
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# -*- coding: utf-8 -*- """ Created on Wed Jun 9 10:13:09 2021 @author: ruy """ from dataclasses import asdict import pytest as pt from gl_hsc_scantling.shortcut import StiffenerSection from .exp_output import ExpStiffenerSection def _get_stiffener_stiff_dict(section: StiffenerSection): return { "bend_s...
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<reponame>albertonavaa/Cirq<filename>dev_tools/notebooks/utils.py # Copyright 2021 The Cirq Developers # # 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/licenses/...
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from math import log, floor, sqrt import numpy as np import matplotlib.pyplot as plt from fjlt import * from Trigonomity import * plt.style.use('ggplot') def printKValues(e,n): k1 = (log(n) * 4) / (((e**2)/2)-((e**3)/3)) # Simple proofOur paper. k2 = 9/((((e**2))-(2*(e**3)/3)))* log(n) # k3 = (e**-2)*log(n) ...
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<reponame>mikewolfli/django2-goflow<filename>goflow/graphics2/urls_admin.py from django.urls import path from goflow.graphics2 import views as goflow_graphics2_views urlpatterns = [ path('processimage/<int:process_id>/pos_activity/', goflow_graphics2_views.pos_activity), ]
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<reponame>txya900619/Intern-Training<gh_stars>1-10 # Compute the derivative of the pReLU activation function. import torch from d2l import torch as d2l def PReLU(x, a): """define PReLU(x)=max(x,0)+a*min(x,0)""" constant_zero = torch.FloatTensor([0.0]) return torch.max(x, constant_zero) + (a * torch.min(x...
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import pandas as pd from sklearn.ensemble import RandomForestClassifier from sklearn.model_selection import ( cross_val_score, train_test_split, ShuffleSplit, ) from sklearn.metrics import accuracy_score from sklearn.metrics import f1_score, recall_score from sklearn.metrics import confusion_matrix import ...
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<gh_stars>0 # Copyright 2021 MosaicML. All Rights Reserved. from __future__ import annotations import argparse import collections.abc import logging import os from typing import TYPE_CHECKING, Dict, List, Sequence, Tuple, Union, cast import yaml logger = logging.getLogger(__name__) if TYPE_CHECKING: from yahp....
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import pytest from uricomcuscuz.models import User, Problem, Submission @pytest.mark.parametrize(('Model', 'id', 'expected_link'), ( (User, 1, '/judge/pt/profile/1?sort=Ranks.created&direction=desc'), (Problem, 1, '/judge/pt/problems/view/1'), )) def test_link(populate_db, Model, id, expected_link): """Te...
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from quest.alltests.quest_forms_tests import * from quest.alltests.quest_models_tests import * from quest.alltests.quest_views_tests import *
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<reponame>Priyansh2/LeetCode-Solutions # Time: O((|E| + |V|) * log|V|) = O(|E| * log|V|), # if we can further to use Fibonacci heap, it would be O(|E| + |V| * log|V|) # Space: O(|E| + |V|) = O(|E|) import heapq # dijkstra's algorithm class Solution(object): def minimumWeight(self, n, edges, src1, src2, d...
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<gh_stars>1-10 import random fdo=open('./textfile_r.dat','w') fto=open('./textfile_st.dat','w') sdo="" sto="" for index in range (10): #state #bank tmp=bin(random.randint(0,7))[2:] if len(tmp)<3: for j in range(3-len(tmp)): sto+="0"; sto+=tmp+'\n'; else: sto+=(tmp+'\n') tmp=bin(random.randint(0,1023))...
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# -*- coding: utf-8 -*- # Created By: <NAME> # Created On: 2009-09-18 # Copyright 2010 Hardcoded Software (http://www.hardcoded.net) # # This software is licensed under the "BSD" License as described in the "LICENSE" file, # which should be included with this package. The terms are also available at # http://www.har...
StarcoderdataPython
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<reponame>natefduncan/flask-pyodide import os from flask import request from app import init_app from app.api.models import User from app.utils.objects import Token app = init_app() def get_current_user(): token = request.cookies.get("token") try: user = User.query.get(Token.decode(token).get("id")...
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<reponame>darcyabjones/bioplotlib """ Extension of matplotlib collections. Classes for the efficient drawing of large collections of objects that share most properties, e.g., a large number of line segments or polygons. The classes are not meant to be as flexible as their single element counterparts (e.g., you may no...
StarcoderdataPython
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<reponame>lcopland18/99-CapstoneProject-201930<filename>src/m2_laptop_code.py<gh_stars>0 """ Capstone Project. Code to run on a LAPTOP (NOT the robot). Displays the Graphical User Interface (GUI) and communicates with the robot. Authors: Your professors (for the framework) and <NAME>. Spring term, 2018-2...
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<gh_stars>1-10 from .context import src from src.core import slice_list def test_slice_list(): assert slice_list(range(1, 4), 2) == [[1, 2], [3]] assert slice_list(range(1, 5), 2) == [[1, 2], [3, 4]] assert slice_list(range(1, 7), 3) == [[1, 2], [3, 4], [5, 6]] assert slice_list(range(1, 3), 1) == [[1...
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import numpy as np from scipy import stats def create_data(N = 10): a = np.random.randn(N) + 2 #mean = 2, var = 1 b = np.random.randn(N) #mean = 0, var = 1 return a, b def variance(a,b): var_a = a.var(ddof = 1) #Numpy uses the population (N) and not sample (N-1), thus pass ddof = 1 var_b = b.var...
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import collections import copy import json def parse_request(request): """ Parses JSON bodies safely. """ try: body = json.loads(request.body.decode("utf-8")) return body except Exception: return None def stringify_keys(dictionary: dict): """ This helper function ...
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<gh_stars>1-10 #!-*- coding:utf-8 -*- #!/usr/bin/env python #--------------------------------------------------- #規約違反を報告する #copyright 2010-2012 ABARS all rights reserved. #--------------------------------------------------- import os import template_select from google.appengine.ext import webapp from google.appengi...
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# Store all the valid replacements in a list and sort them desc. The apply each change on S. class Solution: def findReplaceString(self, S: str, indexes: List[int], sources: List[str], targets: List[str]) -> str: changes = [] for i in range(len(indexes)): start = indexes[i] ...
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<reponame>Sean-Ker/data_patty_hunter<gh_stars>0 import operator as op from functools import reduce import random import pickle def ncr(n, r): # Code contributed by @dheerosaur r = min(r, n-r) numer = reduce(op.mul, range(n, n-r, -1), 1) denom = reduce(op.mul, range(1, r+1), 1) return numer / denom ...
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from fractions import Fraction as Q import unittest from quest.assembler import assemble from quest.process import Process from quest.register import Register from quest.stdio import StandardStream STDIN = StandardStream.STDIN.value STDOUT = StandardStream.STDOUT.value STDERR = StandardStream.STDERR.value ECHO_SOURC...
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<filename>archive/lym_project/treeano-master/benchmarks/fractional_max_pooling.py import numpy as np import theano import theano.tensor as T import treeano.nodes as tn from treeano.sandbox.nodes import fmp fX = theano.config.floatX # TODO change me node = "fmp2" compute_grad = True if node == "mp": n = tn.MaxPool...
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#!/usr/bin/env python3 # coding: utf-8 from copy import deepcopy from pathlib import Path from cwl_inputs_parser.utils import Inputs, wf_location_to_inputs from cwl_utils.parser.cwl_v1_2 import CommandInputArraySchema, InputArraySchema from yaml import safe_load from const import CONFORMANCE_TEST_PATH, CWL_UTILS_OBJ_...
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import os import cv2 import numpy as np import tensorflow as tf import utils import time class DMSC(): def __init__(self, sess, config): self.config = config self.sess = sess self.batch_size = config['batch_size'] self.train_dir = config['train_dir'] self.D_size = config['d...
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<gh_stars>0 #!/usr/bin/env python import sys import subprocess import getopt import time client = "c" server = "c" def dotest(client_dir, server_dir): server_args = [ "%s/server" % server_dir ] client_args = [ "%s/client" % client_dir ] server_proc = subprocess.Popen(server_args) time.sleep(0.1) ...
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<gh_stars>10-100 """ Log video stream provided by OpenCV camera """ import cv2 from threading import Thread class LogOpenCVCamera: def __init__(self, config, bus): self.input_thread = Thread(target=self.run_input, daemon=True) self.bus = bus bus.register('raw') port = config.get...
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<reponame>Kixiron/libc #! /usr/bin/env python # # Copyright (c) 2004 <NAME> # 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 # ...
StarcoderdataPython