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''' Created on 12 Sep 2017 @author: lia ''' import random import struct from IPy import IP from . import gtp_v2_commons ''' 8 7 6 5 4 3 2 1 Octets +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+ | Type = xxx (decimal) | 1 +-+-+-+-+-+-+-+-+-+-+-+-+-+-+-...
from src.lib import * from copy import deepcopy from scipy.signal import decimate def read_data(date, instrument, time_step): path = os.path.join(PRICE_FLD, date, instrument+'.csv') if not os.path.exists(path): print('no such file: '+path) return None df_raw = pd.read_csv(path, parse_dates=['time'], index_col=...
# author: <NAME> # Licence: see, LICENSE # No warranties, use it on your own risk # purpose: load data from data directory from modules.detector.tf_detector.research.object_detection.protos.string_int_label_map_pb2 import StringIntLabelMap, StringIntLabelMapItem from modules.detector.tf_detector.research.object_detect...
from django.shortcuts import render import json import csv from django.http import Http404, HttpResponseRedirect, HttpResponse from datetime import date from data.models import * def AD_date_to_BD_str(dateObj): # change AD to BD as string(ค.ศ. -> พ.ศ.) date -> d/m/Y (str) # import pdb; pdb.set_trace() if isin...
""" Some generic utilities for Experiment Design. -- <EMAIL> """ # pylint: disable=invalid-name # pylint: disable=unbalanced-tuple-unpacking from argparse import Namespace import numpy as np # Local imports from .cp_domain_utils import sample_from_cp_domain from ..utils.general_utils import map_to_bounds, flatten...
import climnet.utils.general_utils as gut from tqdm import tqdm import pandas as pd import itertools from importlib import reload import climnet.utils.statistic_utils as sut import xarray as xr import numpy as np import copy months = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov...
# _*_ coding: utf_8 _*_ from enum import Enum # Context sites for the 2 types of endpoints mSite = 'https://members.iracing.com/membersite/member' mStats = 'https://members.iracing.com/memberstats/member' # IRACING SERVICE URLS URL_LOGIN = 'https://members.iracing.com/membersite/login.jsp' URL_LOGIN2 = 'https://memb...
import time from machine import Pin, UART, PWM, ADC COMMAND_PARSE = b'\n' # Orion 8-10in alt az replacement for bad control board # DC motors and shaft IR encoders # for raspberry pi pico to control factory drives and encoders # az drive uses 0.000624 deg/count at shaft encoder # alt drive uses 0.00073 deg/count at ...
import cv2 from PIL import Image, ImageDraw import numpy as np import traceback import math from scipy import ndimage class PuzzlePiece: def __init__(self, contour): self.contour = contour self.contourDims = self.getXYMinAndWidthHeight() self.sharpCorners = None self.corners = Non...
"""crs.py: RESQML coordinate reference system module.""" version = '5th July 2021' import logging log = logging.getLogger(__name__) log.debug('crs.py version ' + version) import math as maths import uuid import warnings from typing import Dict, List, Optional, Tuple, Union import numpy as np import resqpy.model a...
############################################################################## # Copyright 2018 <NAME> and Zapata Computing, Inc. # # 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 # #...
# (C) Copyright 2016 Hewlett Packard Enterprise Development LP # 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/LICEN...
#!/usr/bin/env python # # icell8.utils.py: utility functions for handling ICELL8 data # Copyright (C) University of Manchester 2017-2021 <NAME> # """ icell8.utils.py Utility classes and functions for processing the outputs from the ICELL8 single-cell platform. Classes: - ICell8WellList: class representing I...
''' Copyright (C) University of Science and Technology of China. Licensed under the MIT License. ''' import torch import torch.nn as nn import functools from torch.autograd import Variable import numpy as np import torch.nn.functional as F from models.networks.base_network import BaseNetwork # feature encoder class En...
#! /usr/bin/env python # set Android specific options import os import re from copy import deepcopy from waflib import Context, Errors, Logs, Options, Configure def _get_android_arch(arch): archs = { 'armv7a': 'arm', 'amd64': 'x86_64', 'mipsel': 'mips', 'mips64el': '...
import os import math from collections import OrderedDict import numpy as np import torch import tensorflow as tf from transformer_pb2 import Transformer from transformers import BartForConditionalGeneration os.environ["CUDA_VISIBLE_DEVICES"] = "-1" """ key是proto参数的值,value是一个强大的表达式,每个&&分割tensor name的匹配路径或表达式,每个匹配 路...
#!/usr/bin/env python # coding: utf-8 # In[ ]: import pandas as pd import numpy as np import matplotlib.pyplot as plt #get_ipython().run_line_magic('matplotlib', 'inline') import pickle, json, re, time import torch import torch.nn as nn import torch.nn.functional as F from torch.utils.data import Dataset, DataLoade...
#!/usr/bin/env python # -*- coding: utf-8 -*- # Author: <NAME> """ Use insertion/deletion instead of the phrase table approach """ from __future__ import unicode_literals import argparse import codecs import os import random import re import sys from collections import defaultdict # hack for python2/3 compatibility f...
import sys from skimage import io from collections import OrderedDict from data_preprocessing.rimes_data_preprocessing.rimes_line_information import RimesLineInformation __author__ = "Dublin City University" __copyright__ = "Copyright 2019, Dublin City University" __credits__ = ["<NAME>"] __license__ = "Dublin City Un...
import argparse import itertools from dps import cfg from dps.datasets import ( GridEmnistObjectDetectionDataset, EmnistObjectDetectionDataset, VisualArithmeticDataset) from dps.datasets.base import Environment from dps.datasets.shapes import ShapesDataset, BlueXAboveRedCircle, SetThreeAttr from dps.datasets.c...
""" stanCode Breakout Project Adapted from <NAME>'s Breakout by <NAME>, <NAME>, <NAME>, and <NAME>. File: extension/breakoutgraphics.py Name: Ryan This is my breakoutgraphics extension class. My OOP learning outcome. """ from functools import reduce from campy.graphics.gcolor import GColor from campy.graphics.gwind...
import asyncio import logging from dataclasses import dataclass from itertools import islice from typing import AsyncIterator, Callable, Dict, Iterable, Iterator, List, Optional from typing import Tuple as TupleType from typing import Type, TypeVar, Union import grpc import grpc.aio from async_generator import asyncco...
import unittest from r2c_isg.apis import api_map from r2c_isg.loaders import Loader from r2c_isg.loaders.web import webloader_map from r2c_isg.structures import Dataset from r2c_isg.structures.projects import PypiProject from r2c_isg.structures.projects import project_map as registry_map from tqdm import tqdm from py...
# Imports import time import json # Setup logging. try: import logging logger = logging.getLogger(__name__) except: try: import logger except: class Logger(object): level = 'INFO' @classmethod def debug(cls, text): if cls.level == 'DE...
#!/usr/bin/env python3 # -*- coding:utf-8 -*- # Copyright (c) 2021 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/l...
#!/usr/bin/env python """ Created by: <NAME> (2017) Description: Functions for assigning genome properties. """ import pandas as pd from pygenprop.evidence import Evidence from pygenprop.functional_element import FunctionalElement from pygenprop.genome_property import GenomeProperty from pygenprop.step import Step ...
from collections import deque from copy import deepcopy from itertools import product import attr from attr.validators import instance_of from click import style from utensor_cgen.ir import (MetaOperationInfo, OperationInfo, uTensorGraph, uTensorGraphView) from utensor_cgen.logger import ...
#!/usr/bin/python3 # *_*coding:utf-8 *_* import os import sys import subprocess import traceback from datetime import datetime from pathlib import Path import rich from tqdm import tqdm from rich.progress import track from rich.console import Console from os.path import dirname, abspath, join, basename, splitext from...
#!venv/bin/python3 import argparse import itertools import logging import re import sys import time from concurrent import futures from concurrent.futures import Future from concurrent.futures.thread import ThreadPoolExecutor from datetime import datetime, timedelta from typing import List, Pattern, AnyStr, Optional, ...
# -*- coding: utf-8 -*- # # Copyright 2018-2020 Data61, CSIRO # # 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...
import os from PIL import Image from scipy.ndimage.filters import gaussian_filter import cv2 import shutil # To copy the file import sys import numpy as np import torch from torchvision import transforms from torch.utils.data import Dataset import torch.nn.functional as F import torchvision from tqdm import tqdm ...
import tensorflow as tf import numpy as np import math def one_hot_matrix(labels, C): """ Creates a matrix where the i-th row corresponds to the ith class number and the jth column corresponds to the jth training example. So if example j had a label i. Then entry (i,j) ...
import h5py import numpy as np import multiprocessing as mp from ..XpcsAna.xpcsmethods import mat2evt from ..misc.progressbar import progress from . import EdfMethods as edf from . import CbfMethods as cbf def get_case(detector): """select the way data are read """ if detector in ['id10_eiger_single_edf',...
import hashlib import matplotlib.pyplot as plt from scipy import signal from functools import wraps from pudzu.charts import * logger.setLevel(logging.INFO) # naive gravity calculation that's fast enough because numpy np.seterr(divide='ignore', invalid='ignore') def force_components(rows, cols, linear=False): ...
""" ############################################################################## # # Implementation of the 2D population evolution # # AUTHOR: Maciej_Bak # AFFILIATION: University_of_Basel # AFFILIATION: Swiss_Institute_of_Bioinformatics # CONTACT: <EMAIL> # CREATED: 13-08-2020 # LICENSE: MIT # ########...
# -*- coding: utf-8 -*- ''' Subversion Fileserver Backend After enabling this backend, branches, and tags in a remote subversion repository are exposed to salt as different environments. This feature is managed by the :conf_master:`fileserver_backend` option in the salt master config. This backend assumes a standard ...
"""Functions that help define SQLAlchemy models.""" import re from datetime import datetime from typing import List, Tuple, Union from warnings import warn from sqlalchemy import Table, Column, ForeignKey, Sequence from sqlalchemy.orm import backref as _backref, class_mapper, ColumnProperty from sqlalchemy.orm.attrib...
import argparse import os import sys import cv2 import pickle import numpy as np import util_cal import util_pipe import util_lane import matplotlib.pyplot as plt import matplotlib.image as mpimg from collections import deque from moviepy.editor import VideoFileClip from settings import PERSPECTIVE_FILE_...
import os from jacowvalidator.docutils.styles import check_style_detail, VALID_STYLES, VALID_NON_JACOW_STYLES from jacowvalidator.docutils.page import get_text, check_title_case from jacowvalidator.docutils.margins import check_sections from jacowvalidator.docutils.styles import check_jacow_styles from jacowvalidator.d...
""" PhaseSpace generation routines The output momenta has always the structure (E, px, py, pz) When a complete set of momenta is output the structure is (n_events, n_particles, n_dim) """ from .config import float_me, int_me, DTYPE, run_eager import numpy as np import copy import tensorflow as tf import...
#!/usr/bin/env python """cflib.vcf ============== This module provides functions to read, write and access vcf files. Objects ------- Classes: - :class:`NucBase`, store a nucleotide base - :class:`VCFStream`, a variant call format (VCF) stream object - :class:`VCFSeq`, a VCF file sequence object Exception Cla...
import time import numpy as np import pandas as pd from scipy.sparse import issparse from sklearn.decomposition import PCA from typing import Tuple from anndata import AnnData import logging logger = logging.getLogger("sccloud") def qc_metrics( data: AnnData, mito_prefix: str = "MT-", min_genes: int =...
import numpy as np import torch import utils_basic # import kornia # import multiprocess_flag import hyperparams as hyp ''' Using these references to generate rotations: https://torchgeometry.readthedocs.io/en/latest/warp_affine.html https://bitbucket.org/adamharley/discovery/src/d55d58e556ee9c66fead01cdf4deef424263...
# Copyright 2019 PrivateStorage.io, 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 agreed to i...
#!/usr/bin/env python # Copyright (c) Microsoft Corporation # All rights reserved. # # MIT License # # Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated # documentation files (the "Software"), to deal in the Software without restriction, including without limi...
import torch from torch.jit import script, trace import torch.nn as nn from torch import optim import torch.nn.functional as F import csv import random import re import os import unicodedata import codecs from io import open import itertools import math import numpy as np from scipy.spatial import distance from loss i...
import numpy as np # Local modules from constants import DEFAULT_N0, DEFAULT_N1, DEFAULT_N2, NO_INTERSECTION from normal_map import NormalMap import utils class Object: """ Represent a generic object inside the scene that has a specific position, material and intersect function. Attributes: p...
import os import math import cv2 import xml.etree.ElementTree as ET from xml.etree.ElementTree import Element, SubElement, ElementTree from xml.dom import minidom import shutil import numpy as np def is_exist_dir(dir): if not os.path.exists(dir): os.makedirs(dir) def prettify(elem): """Return a pret...
# -*- coding: utf-8 -*- # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved import numpy as np from typing import Dict import fvcore.nn.weight_init as weight_init import torch import torch.nn as nn from torch.nn import functional as F from detectron2.layers import Conv2d, ShapeSpec, get_norm from d...
import os #from sqlite3.dbapi2 import Date import sys import random # pip install pyqt5-tools from PyQt5.QtWidgets import * from PyQt5.QtGui import * from PyQt5.QtCore import * from matplotlib.pyplot import get BASE_PATH = os.path.abspath(os.path.dirname(__file__)) from init import * from agent import Mqtt_client impo...
""" Basic plotting functions to operate on gridded netCDF output by pyglider https://github.com/c-proof/pyglider Based on work by <NAME> and <NAME> https://github.com/ESiddle/basestation_plotting """ import sys import os import logging import json import gsw import pandas as pd import xarray as xr from cmocean import c...
# -*- coding: utf-8 -*- ########################################################################### # Copyright (c), The AiiDA team. All rights reserved. # # This file is part of the AiiDA code. # # ...
# -------------------------------------------------------------------------- # Licensed under the MIT license. # See License.txt in the project root for further license information. # -------------------------------------------------------------------------- ############################################################...
#!/usr/bin/env python3 # Plot results from proximity-based calib experiments (multiple trials) # # <NAME> # April 15, 2021 import sys import os import pickle import numpy as np import scipy.stats import matplotlib.pyplot as pl from sklearn.metrics import accuracy_score from sklearn.model_selection import train_test_sp...
import sys import _thread #from types import ClassType from weakref import WeakValueDictionary from webware.MiscUtils import NoDefault from webware.MiscUtils.Funcs import safeDescription from .ObjectKey import ObjectKey from MiddleKit.Core.ModelUser import ModelUser from MiddleKit.Core.Klass import Klass as BaseKlass...
r""" Morphisms of chain complexes AUTHORS: - <NAME> <<EMAIL>> (2009.06) - <NAME> (2012-08-18): Made all simplicial complexes immutable to work with the homset cache. This module implements morphisms of chain complexes. The input is a dictionary whose keys are in the grading group of the chain complex and whose va...
############################################################################### # Copyright 2020 UChicago Argonne, LLC. # (c.f. AUTHORS, LICENSE) # SPDX-License-Identifier: BSD-3-Clause ############################################################################## import os import sys import ctypes import time import ...
#!/usr/bin/env python # Copyright (c) 2017 The Khronos Group Inc. # # 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 ap...
# Licensed under an MIT open source license - see LICENSE from __future__ import print_function, absolute_import, division from warnings import warn import numpy as np import numpy.fft as fft from scipy.interpolate import LSQUnivariateSpline, interp1d from astropy.modeling import fitting, models from astropy.modeling ...
##################################################### # Copyright (c) <NAME> [GitHub D-X-Y], 2020.08 # ############################################################################## # NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size # ###########################################################...
# -*- encoding: utf-8 -*- # # Copyright © 2012 New Dream Network, LLC (DreamHost) # # Author: <NAME> <<EMAIL>> # <NAME> <<EMAIL>> # # 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 # # ...
from collections import OrderedDict from typing import Union, Optional, Sequence, Iterator, Dict, Tuple, Type, Collection, Callable from warnings import warn import torch import numpy as np from sklearn.model_selection import StratifiedShuffleSplit from ..utils import validate_1d_like, validate_tensors, validate_grou...
import collections import copy import json import unittest try: import yaml skip_yaml = False except ImportError: skip_yaml = True import marshmallow_objects as marshmallow class A(marshmallow.Model): test_field = marshmallow.fields.Str(missing='test_value', allow_none=False) tag_field = marshm...
from collections import OrderedDict import os import itertools import re import numpy as np from copy import deepcopy from collections import Iterable from scipy.spatial.distance import cdist from chargetools import constants, grids from chargetools.exceptions import InputError from chargetools.utils.utils import in...
import copy as cp import numpy as np from scipy import optimize from scipy import sparse import time import matplotlib.pyplot as plt from sklearn import svm, datasets from sklearn.metrics import roc_curve, auc ###计算roc和auc from sklearn import cross_validation import matplotlib as mpl mpl.rcParams['font.sans-serif'] ...
import copy import datetime as dt import os import pathlib import pickle import sys import warnings import pandas as pd import pytest import wrfhydropy sys.path.insert(0, str(pathlib.Path(__file__).parent)) from utilities import print_diffs, wait_job EXCLUDE_VARS_CHAN_ONLY = [ 'stc1', 'smc1', 'sh2ox1', ...
import os import h5py import pandas as pd import spacy import torch from torch.nn.utils.rnn import pad_sequence from torch.utils.data.dataset import Dataset from torchtext import data import numpy as np def load_multimodal_features_from_h5(feat_h5_video, feat_h5_audio, feature_names_list, ...
# Copyright (c) 2019 <NAME> # https://github.com/grzracz # Files available under MIT license from threading import Thread from queue import Queue, LifoQueue as Stack from datetime import datetime from re import compile from sys import argv import os.path STARTING_TIME = datetime.now() def matching_tag(tag): ...
import sys from urllib.request import urlopen import json import re import datetime import uuid from bs4 import BeautifulSoup quick_access = {} # access contestants throughout class Game(object): def __init__(self, link, season): self.link = link self.html = self.get_html() self.season = ...
""" Module to handle the various file-trees in the GUI """ import gtk, gobject, guiutils, plugins, os, sys, operator, logging, string from ordereddict import OrderedDict from copy import copy class FileViewGUI(guiutils.SubGUI): def __init__(self, dynamic, title = "", popupGUI = None): guiutils.SubGUI.__i...
#!/usr/bin/env python import datetime from datetime import timedelta import json import os import random import string import httplib2 from flask import ( Flask, Response, jsonify, make_response, render_template, request, session) from oauth2client.client import flow_from_clientsecrets, FlowExchangeError from ...
#!/usr/bin/env python3 ''' This software was created by United States Government employees at The Center for Cybersecurity and Cyber Operations (C3O) at the Naval Postgraduate School NPS. Please note that within the United States, copyright protection is not available for any works created by United States Govern...
# -*- coding: utf-8 -*- ''' #------------------------------------------------------------------------------- # NATIONAL UNIVERSITY OF SINGAPORE - NUS # SINGAPORE INSTITUTE FOR NEUROTECHNOLOGY - SINAPSE # Singapore # URL: http://www.sinapseinstitute.org #------------------------------------------------------------------...
from typing import List, Dict, Pattern, Optional from collections import namedtuple from decimal import Decimal, getcontext import copy import regex from recognizers_text.utilities import RegExpUtility from recognizers_text.culture import Culture from recognizers_text.extractor import ExtractResult from recognizers_te...
# This file contains DGL distributed kvstore APIs. from ..network import _create_sender, _create_receiver from ..network import _finalize_sender, _finalize_receiver from ..network import _network_wait, _add_receiver_addr from ..network import _receiver_wait, _sender_connect from ..network import _send_kv_msg, _recv_kv_...
# import sys from pathlib import Path # from collections import namedtuple # from datetime import datetime import decimal # import os # import multiprocessing # from functools import partial # from itertools import repeat import numpy as np import pandas as pd import scipy # from scipy.stats import linregress imp...
from direct.gui.DirectGui import * from pandac.PandaModules import * from direct.task.Task import Task from direct.fsm import ClassicFSM from direct.fsm import State from direct.directnotify import DirectNotifyGlobal from otp.otpbase import OTPLocalizer from otp.otpbase import OTPGlobals from otp.uberdog.RejectCode imp...
# -*- coding: utf-8 -*- """ The PokerTH protocol consisting of messages and replies with respect to the current state in the communication. """ from __future__ import print_function, absolute_import, division from twisted.internet import reactor from twisted.python import log from twisted.internet.protocol import Prot...
"""Functions shared between different beamformer types.""" # Authors: <NAME> <<EMAIL>> # <NAME> <<EMAIL>> # <NAME> <<EMAIL>> # # License: BSD (3-clause) from copy import deepcopy import numpy as np from scipy import linalg from ..cov import Covariance, make_ad_hoc_cov from ..forward.forward import...
#!/usr/bin/env python3 import datetime import docker import fasteners import git import hashlib import json import logging import math import os import re import requests import sys logging.basicConfig( level = logging.INFO, format = '[%(asctime)s] %(levelname)s: %(message)s') # Set parallel jobs based on both C...
import arabic_reshaper import itertools import math import matplotlib.pyplot as plt import numpy as np import os import pandas as pd import seaborn as sns import sys import warnings from bidi.algorithm import get_display from matplotlib import rc from matplotlib.backends import backend_gtk3 from iran_stock import get...
import asyncio import time import traceback from datetime import datetime, timedelta from typing import Dict, List, Optional, Tuple, Union from discord import Activity, Game, Intents, TextChannel, VoiceChannel from discord.ext.commands import BadArgument, Bot, Cog from discord_slash import SlashCommand, SlashContext, ...
#!/usr/bin/python #*************************************************************************** # Copyright 2015 IBM # # 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.a...
""" Loader, model, utility fns related to the classifier """ import pickle import os import numpy as np from torch.utils.data import Dataset import torch.nn as nn import torch import random from sklearn import metrics import pandas as pd ################################################# def adjust_learning_rate(optim...
import numpy as np from glob import glob from .helper_functions import print_msg from . import const from . import conv class Halo: ''' A simple struct to hold info about a single halo ''' def __init__(self): self.pos = [0.0, 0.0, 0.0] # Position in grid points self.pos_cm = [0.0, 0.0, 0.0] # Center of mass p...
from absl import flags import numpy as np import scipy.sparse import scipy.sparse.linalg import tensorflow as tf import tensorflow_probability as tfp import tqdm flags.DEFINE_bool('disable_svd_compute_cache', False, 'If set, disables the cache (i.e. can recompute subexpressions') FLAGS = flags.FLAG...
# -*- coding: utf-8 -*- """ .. module:: clustering :synopsis: The main Clustering class .. moduleauthor:: <NAME> <<EMAIL>> """ import copy from collections import defaultdict import numpy as np import networkx as nx from clusim.dag import Dendrogram class Clustering(object): """ Base class for cluster...
import base64 import datetime import re import string import urllib.parse as urlparse from io import BytesIO from typing import Union from unittest import mock import urllib.parse import arrow import pytest from azure.storage.blob import BlobClient, BlobProperties, ContainerClient, BlobPrefix from keg_storage import ...
#!/usr/bin/python # -*- coding: utf-8 -*- # GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt) from __future__ import absolute_import, division, print_function __metaclass__ = type DOCUMENTATION = ''' --- module: keycloak_identity_provider short_description: Allows administra...
#!/usr/bin/env python # # Copyright 2017-2018 IBM Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable ...
import numpy as np import matplotlib.pyplot as plt from random import random from numba import njit import random as rand class Toric_code(): nbr_eq_classes = 16 def __init__(self, size): self.system_size = size self.qubit_matrix = np.zeros((2, self.system_size, self.system_size), dtype=np.ui...
#!/bin/env/python #! -*- coding: utf-8 -*- """ This module is intended to help with the use of SBB.Time_quadratures.time_quadratures Last update ----------- This use to be a class and is now a module Todos : Bugs : """ import numpy from SBB.Time_quadratures.time_quadratures import TimeQuad_uint64_t from SBB.U...
# coding: utf-8 #from google.colab import drive import torch import torch.nn as nn import numpy as np import matplotlib.pyplot as plt import torchvision from torchvision import transforms from torch.utils.data import DataLoader from torch.autograd import grad as torch_grad # *Python Machine Learning, PyTorch Editi...
import sys, time, os, json import numpy as np import matplotlib.pylab as plt import tensorflow as tf import keras.backend as K from PIL import Image, ImageOps from keras.models import * from keras.layers import * from keras.layers.merge import _Merge from keras.optimizers import * from google.colab import dri...
#!/usr/bin/env python3 import os from os import path as op import sys import hashlib def gen_hash(template): return '{0}-{1}'.format( hashlib.sha1(template.encode("utf-8")).hexdigest(), hashlib.md5(os.urandom(16)).hexdigest()) import logging rand_hash = gen_hash(sys.argv[1]) hist_fn = op.a...
"""Experiment to check the validation of generative BT on two sequential tasks. """ import numpy as np import pickle # from joblib import Parallel, delayed from mdp import GridMDPModfySeq, GridMDPModfy, orientations, dictmax, create_policy from ltl2btrevised import ( Globally, Finally, Negation, Next, PropCondi...
# -*- coding: utf-8 -*- """Core functionality License: See LICENSE file. """ import base64 import binascii import datetime as dt import logging import os import shutil import sqlite3 import uuid from typing import List from .__version__ import __version__ from .addressbook import Addressbook from .addressbook imp...
#!/usr/bin/env python3 # -*- coding: utf-8 -*- __AUTHOR__ = '<NAME>' __VERSION__ = 6 ''' Name: minimon.py Author: <NAME> / https://github.com/bruno-sf Released at: Jan 2019 Purpose: Check if a service/host is up (green), down(red) and shows when status changes(yellow). License: This project is licensed under the MIT Li...
import traceback import argparse import sys import os import csv import time import torch import torch.nn as nn import torch.nn.functional as F from torch.autograd import Variable from torchvision import datasets, transforms import vgg from torch.utils.data import DataLoader from torch.optim import SGD, Adam from hype...
from os import path, mkdir from time import time import matplotlib.pyplot as plt from matplotlib import cm import numpy as np from scipy.spatial import Delaunay from scipy.interpolate import LinearNDInterpolator as LinNDInterp class vtu_reader(): """Class to read vtu data format into numpy arrays. :arg direct...