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from opytimizer.optimizers.science import SA # One should declare a hyperparameters object based # on the desired algorithm that will be used params = { 'T': 100, 'beta': 0.999 } # Creates a SA optimizer o = SA(params=params)
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#!/usr/bin/env python3 import unittest import os from getJenkinsVersion import get_latest_version, get_jenkins_version USERNAME = os.environ.get('MAVEN_REPOSITORY_USERNAME', '') PASSWORD = os.environ.get('MAVEN_REPOSITORY_PASSWORD', '') # Test that GetJenkinsVersion returns the correct value class TestGetJenkinsVe...
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"""Script to run stacking scripts on the DESY cluster. Through use of argparse, a given configuration for the code can be selected. This can be given from the command line, in the form: python RunCluster.py -c Desired_Configuration_Name -n Number_Of_Tasks -s Each available configuration must be listed in "config.ini...
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""" File: sillystream/examples/daemon.py Author: John Andersen Description: A process that forks off and redirects stdout to sillystream server To run: python examples/daemon.py python sillystream/__main__.py client """ import os import sys import time import sillystream # Send stdout to sillystream STREAM = True # S...
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import ctypes import numpy as np import os import subprocess import tempfile import tvm from tvm import relay, get_global_func, target, register_func from tvm.relay.expr import Expr, Function, Let, GlobalVar from tvm.relay.adt import Constructor from tvm.relay.expr_functor import ExprFunctor, ExprVisitor from tvm.relay...
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import pandas as pd from pyecharts.components import Table from pyecharts.options import ComponentTitleOpts __all__ = ['statistics'] def statistics(model, jupyter=True, path='Model Summary.html', title="Model Summary", subtitle=""): t = pd.DataFrame([[i.name, i.__class__.__name__, i.trainable, i.dtype, i.input_sh...
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# This scripts demonstrates how to use mitmproxy's filter pattern in inline scripts. # Usage: mitmdump -s "filt.py FILTER" import sys from mitmproxy import filt def start(context): if len(sys.argv) != 2: raise ValueError("Usage: -s 'filt.py FILTER'") context.filter = filt.parse(sys.argv[1]) def resp...
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# encoding: utf-8 # cython: profile=False # cython: embedsignature=True """ Implementation of DirichletDistribution. The Dirichlet distribution makes use of path counts from a DFA. Consider two representations of the DFA for the golden mean process. 0 1 0 0 1 1 0 -1 and 0 1 0 0 1 1 0...
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from collections import OrderedDict from functools import partial from matplotlib.figure import Figure from PyQt5 import QtWidgets, QtCore, QtGui from matplotlib.backends.backend_qt5agg import FigureCanvasQTAgg as FigureCanvas from .model import AxesSet from .widgets import * class AxPositioningEditor(QtWidgets.QWi...
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import os from configparser import ConfigParser from nipype.utils import config as nuc from pkg_resources import resource_filename def get_fitlins_config(): """Construct Nipype configuration object with precedence: - Local config (``./nipype.cfg``) - Global config (``$HOME/.nipype/nipype.cfg`` or ``$NIPY...
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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes ...
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import inspect def get_classname(o): """ Returns the classname of an object r a class :param o: :return: """ if inspect.isclass(o): target = o elif callable(o): target = o else: target = o.__class__ try: return target.__qualname__ except AttributeEr...
the-stack_0_7310
import os from conan.tools.build import build_jobs from conan.tools.files.files import load_toolchain_args from conan.tools.microsoft.subsystems import subsystem_path, deduce_subsystem from conans.client.build import join_arguments class Autotools(object): def __init__(self, conanfile, namespace=None): ...
the-stack_0_7311
# Copyright 2015 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...
the-stack_0_7313
from kivy.app import App from kivy.uix.widget import Widget from kivy.clock import Clock from kivy.core.window import Window from random import randint, choice from math import radians, pi, sin, cos import kivent_core import kivent_cymunk from kivent_core.gameworld import GameWorld from kivent_core.managers.resource_ma...
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def save(file, conf): with open(file, 'w') as configfile: conf.write(configfile) def getOpts(): import configparser import copy import os config = configparser.ConfigParser() file = os.path.abspath(os.path.join('.', 'config.ini')) DEFAULT_OPTIONS = { 'DEFAULT'...
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# Copyright 2014 Cloudbase Solutions Srl # # 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 applicable ...
the-stack_0_7320
# Create a list of strings: mutants mutants = ['charles xavier', 'bobby drake', 'kurt wagner', 'max eisenhardt', 'kitty pryde'] aliases= ['prof x', 'iceman', 'nightcrawler', 'magneto', 'shadowcat'] powers = ['telepathy', 'thermokinesis', 'teleportation', 'magnetokines...
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import sys from typing import Iterable, Optional import numpy as np import tensorflow as tf def _as_tensor(x): if isinstance(x, np.ndarray): x = tf.convert_to_tensor(x) return x def _build_train_step(model, data, jit_compile: bool): data = tf.nest.map_structure(_as_tensor, data) @tf.functi...
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# If executes from local python Kernel import sys sys.path.append('./python_env/lib/python3.6/site-packages') # Import libraries for general use from unidecode import unidecode # Library to parse format from bs4 import BeautifulSoup # Library to scripting in HTML import numpy # Library for math function import request...
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# Copyright (c) 2017, Apple Inc. All rights reserved. # # Use of this source code is governed by a BSD-3-clause license that can be # found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause import os import itertools import pandas as pd import unittest from coremltools._deps import HAS_SKLEARN...
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from os import path from setuptools import setup, find_packages import sys import versioneer # NOTE: This file must remain Python 2 compatible for the foreseeable future, # to ensure that we error out properly for people with outdated setuptools # and/or pip. min_version = (3, 6) if sys.version_info < min_version: ...
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""" Modified from https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py Edits: ResNet: - Changed input layer from 3 channel -> 1 channel (depth images) - Divided inplanes, planes, and width_per_group by 4 BasicBlock: - Commented out ValueError triggered by base_width ...
the-stack_0_7329
from hpc.autoscale.ccbindings.mock import MockClusterBinding from hpc.autoscale.job.job import Job from hpc.autoscale.job.schedulernode import SchedulerNode from hpc.autoscale.node.nodemanager import new_node_manager def setup_module() -> None: SchedulerNode.ignore_hostnames = True def test_placement_group() ->...
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""" Copyright (C) 2021 University of Luxembourg Developed by Dr. Joshua Heneage Dawes. Module containing classes for construction of iCFTL specifications. Specifications are constructed hierarchically, as chains of objects. The root object is always a Specification instance. This can contain configuration informat...
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# -*- coding: utf-8 -*- from .fixtures import fixture_data, Amount, Asset, Price import unittest class Testcases(unittest.TestCase): def setUp(self): fixture_data() def test_init(self): # self.assertEqual(1, 1) Price("0.315 USD/GPH") Price(1.0, "USD/GOLD") Price(0.315...
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import torch import numpy as np from baseline.utils import lookup_sentence, get_version from torch.autograd import Variable import torch.autograd import torch.nn as nn import torch.nn.functional import math import copy PYT_MAJOR_VERSION = get_version(torch) def sequence_mask(lengths): lens = lengths.cpu() ma...
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import sys, os sys.path.append(os.path.join(os.path.expanduser("~"), "chipfish")) import app as chipfish from glbase_wrapper import location, glload, genelist draw = 'pdf' c = chipfish.app() c.startup(os.path.expanduser("../trk_TEs.txt")) #annot = glload(os.path.expanduser('~/hg38/hg38_ensembl_v95_enst.glb')) #ann...
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# -*- coding: utf-8 -*- """ Capacity scaling minimum cost flow algorithm. """ __author__ = """ysitu <ysitu@users.noreply.github.com>""" # Copyright (C) 2014 ysitu <ysitu@users.noreply.github.com> # All rights reserved. # BSD license. __all__ = ['capacity_scaling'] from itertools import chain from math import log imp...
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# -*- coding: utf-8 -*- from nose.plugins.attrib import attr from unittest import TestCase import os class BookTestCase(TestCase): @attr("skip") def test_scaffold(self): assert False # create temp directory directory = "../var/tests/book" if not os.path.exists(directory): ...
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import numpy as np def levenshtein_distance(string1, string2): m, n = len(string1), len(string2) matrix = np.zeros((m + 1, n + 1), dtype=np.int32) # source prefixes can be transformed into empty string by # dropping all characters for i in range(m + 1): matrix[i, 0] = i # target pref...
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# ***************************************************************************** # Copyright (c) 2018, NVIDIA CORPORATION. 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...
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from typing import List, Optional, Tuple import torch import torch.nn as nn from kornia.utils.helpers import _torch_svd_cast __all__ = ["zca_mean", "zca_whiten", "linear_transform", "ZCAWhitening"] class ZCAWhitening(nn.Module): r"""Compute the ZCA whitening matrix transform and the mean vector and applies the...
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import collections import claripy class SimVariable(object): __slots__ = ['ident', 'name', 'region', 'category'] def __init__(self, ident=None, name=None, region=None, category=None): """ :param ident: A unique identifier provided by user or the program. Usually a string. :param str n...
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"""Definitions for command-line (Click) commands for invoking Annif operations and printing the results to console.""" import collections import os.path import re import sys import click import click_log from flask import current_app from flask.cli import FlaskGroup, ScriptInfo import annif import annif.corpus import...
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import os from setup import basedir class BaseConfig(object): SECRET_KEY = "SO_SECURE" DEBUG = True SQLALCHEMY_DATABASE_URI = os.environ['DATABASE_URL'] # SQLALCHEMY_DATABASE_URI = "postgresql://localhost/Cathal" MONGODB_URI = os.environ['MONGODB_URL'] SQLALCHEMY_TRACK_MODIFICATIONS = True ...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- import os import cslib def get_drive_mapped_path_dict(): def get_mapped_path_for_drive(drive): # use window API (WNetGetConnectionW) try: import ctypes from ctypes import wintypes mpr = ctypes.WinDLL('mpr') ...
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# Copyright 2015 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import contextlib import collections import errno import os import sys import unittest try: import fcntl except ImportError: # pragma: no cover # Doesn...
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#!/usr/bin/env python3 # # Copyright (c) 2019 Roberto Riggio # # 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 applicabl...
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#!/usr/bin/python # # Copyright 2020 Google LLC # # 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 applicable law or ag...
the-stack_0_7350
#!/usr/bin/env python # -*- coding: utf-8 -*- # IMPORTS import smtplib from email.mime.multipart import MIMEMultipart from email.mime.text import MIMEText import modules.globals as sg # CLASS DEFINITION class MailHelper: # Constructor def __init__(self): self.load_conf() self.smtp = None ...
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import urllib.parse from django.contrib import auth from django.db import close_old_connections from channels.middleware import BaseMiddleware import rest_framework_jwt.serializers import rest_framework.exceptions import jwt.exceptions import backend.auth class TokenMiddleware(object): """ Middleware that au...
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"""Commands the vehicle simulator to drive autonomously based on a given keras model. Usage: Use `model.h5` to drive in autonomous mode `python drive.py model.h5` Or, use `model.h5` to drive in autonomous mode, and save dashcam photos of the run to `./run1/` `python drive.py model.h...
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from ebaysdk.finding import Connection from ebaysdk.exception import ConnectionError import time import psycopg2 import re from gen_utils import database_connection, get_api_key, get_search_words, get_test_search_words, get_trace_and_log class SearchRequest(object): def __init__(self, api_key, keyword): se...
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""" Classes for curves # Author: Antonio Martinez-Sanchez (Max Planck Institute for Biochemistry) # Date: 29.02.2016 """ __author__ = 'martinez' import vtk import math import numpy as np from pyseg.globals.utils import angle_2vec_3D, closest_points ###### Global variables PI_2 = .5 * np.pi MAX_PER_ANG = .25 * np.pi...
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# Copyright (C) 2019 The Raphielscape Company LLC. # # Licensed under the Raphielscape Public License, Version 1.d (the "License"); # you may not use this file except in compliance with the License. # """ Userbot initialization. """ import os import platform import re import time from sys import version_info from logg...
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# guac.py # # plays Tic Tac Toe import json import time import arena import re HOST = "arena-west1.conix.io" TOPIC = "realm/s/guac/" REALM = "realm" SCENE = "guac" # Globals (yes, Sharon) cubes = {} # dict of cube objects to be indexed by tuple (x,y) # grid elements can be: # -1: unassigned # 0: red # 1: blue gri...
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from django import forms from django.utils.translation import ugettext_lazy as _ from fobi.base import BaseFormFieldPluginForm, get_theme from pldp.forms import SURVEY_MICROCLIMATE_CHOICES theme = get_theme(request=None, as_instance=True) class MicroclimateForm(forms.Form, BaseFormFieldPluginForm): """Microcli...
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#!-*- coding:utf-8 -*- #!/usr/bin/env python #--------------------------------------------------- #掲示板を表示 #copyright 2010-2012 ABARS all rights reserved. #--------------------------------------------------- import cgi import os import sys import re import datetime import random import logging import urllib from goog...
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from __future__ import absolute_import import os import sys import weakref from pyramid.httpexceptions import HTTPException from sentry_sdk.hub import Hub, _should_send_default_pii from sentry_sdk.utils import capture_internal_exceptions, event_from_exception from sentry_sdk._compat import reraise from sentry_sdk.i...
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""" Hexpatch ======== Patch a binary file from a simple description, using non-overlapping longest-match context matches. Useful for instruction-patching executables, if codegen has not changed too much, even different versions will match. Patch file format ----------------- - Line-based text file - comments lines st...
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import os import logging import multiprocessing as mp # from hexrd.utils.decorators import memoized from hexrd import imageseries from .config import Config from .instrument import Instrument from .findorientations import FindOrientationsConfig from .fitgrains import FitGrainsConfig from .material import MaterialConf...
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import sys sys.path.append(".") from query_representation.query import * from evaluation.eval_fns import * from cardinality_estimation.featurizer import * from cardinality_estimation.algs import * from cardinality_estimation.fcnn import FCNN from cardinality_estimation.mscn import MSCN import glob import argparse impo...
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#!/usr/bin/env python import json import yaml import urllib import os import sys from jsonref import JsonRef # type: ignore import click from openapi2jsonschema.log import info, debug, error from openapi2jsonschema.util import ( additional_properties, replace_int_or_string, allow_null_optional_fields, ...
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from typing import Text, List, Tuple from rasa.core.domain import Domain from rasa.core.training.story_conflict import ( StoryConflict, find_story_conflicts, _get_previous_event, ) from rasa.core.training.generator import TrainingDataGenerator, TrackerWithCachedStates from rasa.validator import Validator f...
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import logging from collections import namedtuple, defaultdict from enum import Enum from itertools import product from gym import Env import gym from gym.utils import seeding import numpy as np class Action(Enum): NONE = 0 NORTH = 1 SOUTH = 2 WEST = 3 EAST = 4 LOAD = 5 class Player: def...
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# -*- coding: utf-8 -*- from PySide6.QtWidgets import ( QApplication) from PySide6.QtGui import ( QFontMetrics, QTextOption) from PySide6.QtCore import ( QEvent) from .textline import SourceTextLineBase from .textviewer import TextViewer __all__ = ["SourceViewer"] class SourceTextLine(SourceTextLi...
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from InitProb import * from collections import defaultdict PNFile = "lsup" OVERRIDE = 1 vertices = [[1, 1], [0, 3], [-1, 1], [-1, -1], [1, -1], [0.5, 0], [0, 0.75], [-0.5, 0], [0, 1]] edgelists = [[0,1,2,3,4], [5,6,7,8]] trpl = [[1, 1], [0, 3], [-1, 1]] c = .1 box = [np.array([ 0.08*c, 0.08*c]),\ np.arr...
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# -*- coding: utf-8 -*- # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved # flake8: noqa # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/maste...
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# -*- coding: utf-8 -*- u"""Simplify rendering jinja2 :copyright: Copyright (c) 2015 Bivio Software, Inc. All Rights Reserved. :license: http://www.apache.org/licenses/LICENSE-2.0.html """ from __future__ import absolute_import, division, print_function from pykern import pkinspect from pykern import pkio from pykern...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # Libraries import sys import time import logging import platform import os import random # Modules import core.log from core.data.wordlist import * from core.data.crossword import * from core.data.constants import * from core.helpers.parse import * from core.implements.ba...
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"""Test suite main conftest.""" import transaction import pytest from mock import Mock from pyramid.decorator import reify from pyramid.request import Request from pyramid import testing from zope.sqlalchemy import register import pyramid_basemodel from sqlalchemy import create_engine from sqlalchemy.orm import scoped_...
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import os from pypaper import latex_tools as lt test_dir = os.path.dirname(__file__) def test_compile_bibtex(): ffp = test_dir + "/test_data_files/sample.bib" citations = ["Safak:1992ub", "Vesic:1975"] not_cited = ["Rodriguez:2000sr"] bibtex_str = lt.compile_bibtex(citations, ffp) print(bibtex_s...
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# coding=utf-8 # Kevin Manfredy Axpuac Juárez - 15006597 # Miguel Angel Lemus Morales - 14003328 # Archivo Principal from help import Help from instructions import Inst from playerVsPlayer import PlayerVsPlayer from playerVsMachine import PlayerVsMachine from machineVsMachine import MachineVsMachine # menu...
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import torch import torch.nn as nn import torch.optim as optim import numpy as np import timeit class AlexNet(nn.Module): def __init__(self, num_classes=1000): super(AlexNet, self).__init__() self.features = nn.Sequential( nn.Conv2d(3, 64, kernel_size=11, stride=4, padding=2), ...
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from tabulate import tabulate import requests import argparse import pprint import json import os class EnvDefault(argparse.Action): def __init__(self, envvar, required=True, default=None, **kwargs): if not default and envvar: if envvar in os.environ: default = os.environ[envvar...
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# SPDX-FileCopyrightText: Copyright 2022, Siavash Ameli <sameli@berkeley.edu> # SPDX-License-Identifier: BSD-3-Clause # SPDX-FileType: SOURCE # # This program is free software: you can redistribute it and/or modify it under # the terms of the license found in the LICENSE.txt file in the root directory # of this source ...
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# import the necessary packages from PIL import Image, ImageOps import pytesseract from pytesseract import Output import argparse import cv2 import os import json def process_list(text: str) -> dict: final = {} items = text.split("\n")[4:][:-1] for item in items: if item == "": continu...
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# Copyright (c) 2019 PaddlePaddle 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 app...
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# Copyright 2020 (c) Cognizant Digital Business, Evolutionary AI. All rights reserved. Issued under the Apache 2.0 License. import argparse def predict(start_date: str, end_date: str, path_to_ips_file: str, output_file_path) -> None: """ Generates and saves a file with dai...
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import json import public_config as c import logging import argparse import shutil from tinydb import TinyDB, Query from juriscraper.pacer import ( DocketReport, PacerSession, PossibleCaseNumberApi, FreeOpinionReport, ) logging.basicConfig(level=logging.DEBUG) district_dict = { "00": "med", ...
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# Copyright 2020 Huawei Technologies Co., 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 applicable law or agreed to...
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# Copyright 2018 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/LICENSE-2.0 # # Unless required by applicable law or agreed to in ...
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_base_ = './faster_rcnn_r50_fpn_1x_coco.py' model = dict( backbone=dict( norm_cfg=dict(requires_grad=False), norm_eval=True, style='caffe', init_cfg=dict( type='Pretrained', checkpoint='open-mmlab://detectron2/resnet50_caffe'))) # use caffe img_norm img_norm_c...
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import platform import os import sys # Resources shared by both the Network and Server files BUFSIZE = 4096 * 2 PORT = 5555 INTERNAL_PORT = 4321 # The ipv4 address of the host machine. Run ipconfig from cmd to get this HOST = "127.0.0.1" if platform.system() == 'Darwin': LOCAL = "127.0.0.1" #"192.168.1.154" else: ...
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""" TODO: ADD FEATURE TO ENABLE USE OF UNBOUNDED VARIABLES Note: This does not work with the current version of PLEpy, to be fixed in future versions Uses a calculated "cross-talk" matrix (converts 3D counts to 2D activity for each 3D and 2D shell) to fit first-order rate coefficients and initial activity in 3D shells...
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# Pelenet modules from .anisotropic import AnisotropicExperiment from ..network import ReservoirNetwork from ._abstract import Experiment """ @desc: Class for running an experiment, usually contains performing several networks (e.g. for training and testing) """ class AnisotropicReadoutExperiment(AnisotropicExp...
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# Copyright 2018 Google LLC # # 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/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, ...
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import torch import torch.nn as nn try: from torch.hub import load_state_dict_from_url except ImportError: from torch.utils.model_zoo import load_url as load_state_dict_from_url # from .utils import load_state_dict_from_url from ib_layers import * # __all__ = ['ResNet', 'resnet18', 'resnet34', '...
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# -*- coding: utf-8 -*- from __future__ import division, print_function, absolute_import import os import tensorflow as tf import math from dataloader.pretrained_weights.pretrain_zoo import PretrainModelZoo """ This is your result for task 1: mAP: 0.7066194189913816 ap of each class: plane:0.890548001039...
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# Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this file # to you under the Apache License, Version 2.0 (the # "License"); you may not u...
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from openshift import Openshift from command import Command import re import requests import time class NodeJSApp(object): nodesj_app_image = "quay.io/pmacik/nodejs-rest-http-crud" api_end_point = 'http://{route_url}/api/status/dbNameCM' openshift = Openshift() pod_name_pattern = "{name}.*$(?<!-buil...
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import logging import torch import torch.nn.functional as F from torch import nn from predict_pv_yield.models.base_model import BaseModel logging.basicConfig() _LOG = logging.getLogger("predict_pv_yield") class Model(BaseModel): name = "conv3d_sat_nwp" def __init__( self, include_pv_yield...
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from ffai.web.api import * import numpy as np import time class MyRandomBot(Agent): def __init__(self, name): super().__init__(name) self.my_team = None self.actions_taken = 0 def new_game(self, game, team): self.my_team = team self.actions_taken = 0 def act(self...
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# -*- encoding: utf-8 -*- import builtins import unittest import unittest.mock import pytest from common.utils.backend import Backend class BackendStub(Backend): def __init__(self): self.__class__ = Backend def setup_load_model_mocks(openMock, pickleLoadMock, seed, idx, budget): model_path = "/run...
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import os import pypandoc import json import yaml import re import datetime from .config import Config from pypandoc.pandoc_download import download_pandoc from pylatex import Document, Description from pylatex.section import Chapter from pylatex.utils import * class Cover: artist = None title = None year ...
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# preprocessing.py """ parses MIMIC-CXR radiology reports from data/mimic-cxr-reports/ into data/train.csv and data/test.csv train.csv contains two columns with each column wrapped in double quotes; the first column contains the input text (radiology examination, technique, comparison, and findings) while the second c...
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import threading import time from datetime import datetime import schedule import atexit import SocketServer import BioControle import syslog # ------------------------------------------------------------------------ def display_jobs(): print('------------------------------------------------------------------') ...
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# Copyright (c) 2014-2017, NVIDIA CORPORATION. All rights reserved. from collections import Counter import os.path import shutil import tempfile import queue import nose.tools import numpy as np import PIL.Image from . import create_db from digits import test_utils test_utils.skipIfNotFramework('none') class Ba...
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# -*- coding: utf-8 -*- """ Created on Mon May 31 18:14:32 2021 @author: ilayda """ #1.kutuphaneler import numpy as np import matplotlib.pyplot as plt import pandas as pd #2.veri onisleme #2.1.veri yukleme veriler = pd.read_csv('odev_tenis.txt.crdownload') #pd.read_csv("veriler.csv") #test print(veriler) ''' #enco...
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# ----------------------------------------------------------------------------- # # Copyright (C) The BioDynaMo Project. # 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. # # See the LICENSE file distributed with...
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""" Copyright (C) 2019 Authors of gHHC This file is part of "hyperbolic_hierarchical_clustering" http://github.com/nmonath/hyperbolic_hierarchical_clustering 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 Lice...
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"""Limited version of os module: only keep what is more or less relevant in a browser context """ import sys error = OSError name = 'posix' linesep = '\n' from posix import * import posixpath as path sys.modules['os.path'] = path from os.path import (curdir, pardir, sep, pathsep, defpath, extsep, alts...
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from datetime import date pessoas = {} listaDePessoas = [] hoje = date.today().year somaIdade = mediaIdade = 0 while True: pessoas.clear() pessoas['nome'] = str(input('Nome: ')).strip() while True: pessoas['sexo'] = str(input('Sexo [M/F]: ')).upper()[0] if pessoas['sexo'] in 'MF': ...
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import logging from van.adam import transactions as t from van.adam.inventory_methods.output import calculate_output from van.adam.inventory_methods.sell_outs import take_all, take_less from van.adam.transactions import is_taxable def calc_profit(sell: tuple) -> tuple: """ Calculates the buy price, sell pric...
the-stack_0_7441
"""Setup for TcEx Module.""" # standard library import os # third-party from setuptools import find_packages, setup metadata = {} metadata_file = os.path.join(os.path.abspath(os.path.dirname(__file__)), 'tcex', '__metadata__.py') with open( metadata_file, encoding='utf-8', ) as f: exec(f.read(), metadata)...
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import numpy as np import tensorflow as tf from tensorflow.contrib.framework.python.ops import arg_scope import data_iter import nn_extra_gauss import nn_extra_nvp from config_rnn import defaults batch_size = 32 sample_batch_size = 1 n_samples = 4 rng = np.random.RandomState(42) rng_test = np.random.RandomState(31707...
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# -*- coding = utf-8 -*- # /usr/bin/env python # @Time : 20-11-18 下午8:25 # @File : test.py # @Software: PyCharm # try/except/else while/else break continue # while True: # reply = input('Enter txt:') # if reply == 'stop': # break # try: # num = int(reply) # except: # ...
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"""empty message Revision ID: d68e85682c2c Revises: fed65154fba4 Create Date: 2018-09-27 11:27:26.206337 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'd68e85682c2c' down_revision = 'fed65154fba4' branch_labels = None depends_on = None def upgrade(): # ...
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# Licensed under a 3-clause BSD style license - see LICENSE.rst import textwrap import numpy as np import pytest from astropy.io import fits from astropy.nddata.nduncertainty import ( StdDevUncertainty, MissingDataAssociationException, VarianceUncertainty, InverseVariance) from astropy import units as u from...