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"""Data analyzation metrics Each algorithm works on a set of handwritings. They have to be applied like this: >>> import hwrt.data_analyzation_metrics >>> from hwrt.handwritten_data import HandwrittenData >>> data_json = '[[{"time": 123, "x": 45, "y": 67}]]' >>> a = [{'is_in_testset': 0, ... 'formula_id': "31L", ....
""" @author: <NAME> (University of Sydney) ------------------------------------------------------------------------- AMICAL: Aperture Masking Interferometry Calibration and Analysis Library ------------------------------------------------------------------------- Function related to data cleaning (ghost, background c...
#!/usr/bin/env python # encoding: utf-8 import os import re import sys import argparse import glob import logging from numpy import nan as NaN import pandas as pd import shutil import zipfile def get_arguments(): parser = argparse.ArgumentParser( formatter_class=argparse.RawDescriptionHelpFormatter, ...
from win32ctypes.pywin32 import win32api import win32.lib.win32con as win32con import win32.win32gui as win32gui from wx.lib.delayedresult import startWorker import PIL import wx import wx.aui as aui import wx.adv as adv import wx.lib.newevent import os import threading import datetime import random import mouse from s...
# -*- coding: utf-8 -*- """ Tera Python SDK. It needs a libtera_c.so TODO(taocipian) __init__.py """ from ctypes import CFUNCTYPE, POINTER from ctypes import byref, cdll, string_at from ctypes import c_bool, c_char_p, c_void_p from ctypes import c_int32, c_int64, c_ubyte, c_uint64 class ScanDescriptor(object): ...
#! /usr/bin/python3 # # Copyright (c) 2021 Intel Corporation # # SPDX-License-Identifier: Apache-2.0 # import copy import os import subprocess import commonl import ttbl import ttbl.images import ttbl.power class pgm_c(ttbl.images.flash_shell_cmd_c): """Flash using Intel's Quartus PGM tool This allows to fl...
import numpy as np import torch import os import sys import re import math from torch.utils.data import Dataset, DataLoader from apex import amp from apex.parallel import DistributedDataParallel as DDP from lamb import Lamb #tensorboard for accuracy graphs import tensorflow as tf def getCombinations(inputTensor, N, c...
import os import requests from bouncer import Bouncer from flask import Flask, url_for, redirect, \ render_template, session, request, Response, \ flash, get_flashed_messages, jsonify from flask_login import LoginManager, login_required, login_user, \ logout_user, current_user, UserMixin from oauthlib.oaut...
from collections import defaultdict import functools import json import logging import re import subprocess import threading import time import os from .abstract_connection import AbstractConnection, RcloneException class RcloneConnection(AbstractConnection): def __init__(self): self._job_status = default...
# # GitHubNeo.py # # note: i tried using bulbs, which would be easier to # migrate to other tinkerpop graph engines, but had # trouble authenticating # # """ package oompa.tracking.github experiments with working on github graphs in neo uses py2neo TODO: i think bulb seems to have better object modeling...
from __future__ import annotations import re from datetime import datetime, timezone from decimal import Decimal, InvalidOperation from typing import TYPE_CHECKING, Iterable, List, Mapping, Optional, Sequence, Union import flask_babel from babel import numbers from dateutil.relativedelta import relativedelta from fla...
"""Here are defined Python functions of views. Views are binded to URLs in :mod:`.urls`. """ import datetime import hashlib import json import os from distutils.version import LooseVersion from json.encoder import JSONEncoder from urllib.parse import quote from django import forms from django.conf import settings from...
import ctypes import ida_ida import ida_funcs import ida_graph import ida_idaapi import ida_kernwin import ida_hexrays from PyQt5 import QtWidgets, QtGui, QtCore, sip from lucid.ui.sync import MicroCursorHighlight from lucid.ui.subtree import MicroSubtreeView from lucid.util.python import register_callback, notify_c...
from __future__ import absolute_import from __future__ import division from __future__ import print_function import torch import os from modules.model import BertForSequenceClassification_tpr from utils.data_utils import convert_examples_to_features, logger from transformers.file_utils import PYTORCH_PRETRAINED_BERT_...
""" @license: MIT @repository: https://github.com/semontesdeoca/MNPR _ _ __ ___ _ __ _ __ _ __ ___ _ _ ___| |_ ___ _ __ ___ | '_ ` _ \| '_ \| '_ \| '__| / __| | | / __| __/ _ \ '_ ` _ \ | | | | | | | | | |_) | | \__ \ |_| \__ \ || __/ | | | | ...
# # Copyright 2018 British Broadcasting 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 law or...
#! /usr/bin/env python # -*- coding: utf-8 -*- """ Module that contains base save widget for data items """ from __future__ import print_function, division, absolute_import import os import logging import traceback from Qt.QtCore import Signal, QSize from Qt.QtWidgets import QSizePolicy, QFrame, QDialogButtonBox, Q...
import os from django.contrib.gis.db import models from hrp.ontologies import * # from hrp.ontologies import ITEM_TYPE_VOCABULARY, HRP_COLLECTOR_CHOICES, \ # HRP_COLLECTING_METHOD_VOCABULARY, HRP_BASIS_OF_RECORD_VOCABULARY, HRP_COLLECTION_CODES from django.contrib.gis.geos import Point import projects.models cl...
import collections import os from itertools import product from pathlib import Path from typing import Dict, Iterator, List, NamedTuple, Optional, OrderedDict, Sequence, Tuple, Union import numpy as np import xarray as xr from tqdm import tqdm from bioimageio.core import image_helper from bioimageio.core import load_...
# Standalone GUI Applet for creating levels import os os.environ['pg_HIDE_SUPPORT_PROMPT'] = "hide" import pygame as pg from multiprocessing import Process from ui_helpers import * from levels import levels, read_level, write_level, LEVELS_DIR from main import play_level from engine import Level, board_copy # --- ...
#!/usr/bin/env python import asyncio import io import http.server import json import numpy import os import queue import re import sys import threading import websockets from obspy.io.quakeml.core import Pickler from obspy.core.stream import Stream from obspy.core.utcdatetime import UTCDateTime from obspy.core.event....
import argparse import os import mlflow import numpy as np import pandas as pd import torch import torch.optim as optim from matplotlib import pyplot as plt from matplotlib.backends.backend_agg import FigureCanvasAgg from mlflow import log_metric, log_param, get_artifact_uri from skimage.io import imsave from sklearn.m...
from sportsdb_setup import HGETestSetup, HGETestSetupArgs from run_hge import HGE import graphql import multiprocessing import json import os import docker import ruamel.yaml as yaml import cpuinfo import subprocess import threading import time import datetime from colorama import Fore, Style from plot import run_dash_...
from common.numpy_fast import clip, interp from selfdrive.car.tesla.values import CruiseButtons from selfdrive.config import Conversions as CV import time from common.params import Params from cereal import car ACCEL_MAX = 0.6 #0.6m/s2 * 36 = ~ 0 -> 50mph in 6 seconds ACCEL_MIN = -3.5 _DT = 0.05 # 20Hz in our case,...
import argparse import os import sys import time import warnings from ast import literal_eval warnings.filterwarnings("ignore") import IPython import matplotlib as mpl mpl.use('Agg') import matplotlib.pyplot as plt import numpy as np import pandas as pd import torch import context from context import utils import uti...
import argparse import csv import os import signal import logging from datetime import datetime from decimal import Decimal import pandas as pd import progressbar import sqlite3 import sys import time from pathlib import Path from dhalsim.parser.file_generator import BatchReadmeGenerator, GeneralReadmeGenerator from ...
#!/usr/bin/env python from prometheus_client import start_http_server, Summary import random import argparse import time from prometheus_client import Counter from prometheus_client import Gauge from prometheus_client import Summary from prometheus_client import Histogram import sys import time import json import date...
"""General functions for working with observations. """ import collections import os from shapely.geometry import Point import pandas as pd from gisutils import df2shp, project from mfsetup.obs import make_obsname from mfsetup.units import convert_length_units, convert_volume_units, convert_time_units from mapgwm.utils...
"""Convert XFL edges to SVG paths. If you just want to convert, use `xfl_edge_to_svg_path()`. If you're interested in how everything works, read on. """ # Read these links first, as there is no official documentation for the XFL # edge format: # # * https://github.com/SasQ/SavageFlask/blob/master/doc/FLA.txt # * ...
#! /usr/env/bin python import os import linecache import numpy as np from collections import OrderedDict from CP2K_kit.tools import call from CP2K_kit.tools import data_op from CP2K_kit.tools import file_tools from CP2K_kit.tools import read_input from CP2K_kit.tools import traj_info from CP2K_kit.deepff import load_d...
""" TopView is the main Widget with the related ControllerTopView Class There are several SliceView windows (sagittal, coronal, possibly tilted etc...) that each have a SliceController object The underlying data model object is an ibllib.atlas.AllenAtlas object TopView(QMainWindow) ControllerTopView(PgImageCon...
#!/usr/local/bin/python from sprint import sprint as print import string import uuid import basics import config import useful # ------ user editor def print_users(pif): table_info = pif.dbh.table_info['user'] entries = [] for user in pif.dbh.fetch_users(): user['user_id'] = '<a href="user.cgi...
# Copyright (C) 2016 <NAME> <<EMAIL>> # Released under the terms of the BSD license. import os import re import sys import click import string import datetime import subprocess from . import __version__ from .remote import get_remote from .crypto import fernet_encrypt, fernet_decrypt, sha512_hash, digest from .forma...
#!/usr/bin/env python3 """Application for managing the PyLith build environment. """ import sys import os import argparse import subprocess import configparser class Package(): """Base class for software package. """ NAME = None CLONE_RECURSIVE = False def __init__(self, config): if not ...
from fipu_face import retina_face as rf import binascii import time from fipu_face.utils import * from fipu_face.img_utils import * from exceptions.image_exception import * from fipu_face.img_config import * from fipu_face.segmentation.bg_segmentation import get_non_white_bg_pct # from fipu_face.facial_landmarks.emoti...
""" This module exrtacts features from the data, saves the feauters from all measurements to global results file and creates one file for every sensor with all measurements. :copyright: (c) 2022 by <NAME>, Hochschule-Bonn-Rhein-Sieg :license: see LICENSE for more details. """ from pyexpat import features import pan...
#!/usr/bin/env python3 # coding: utf-8 __author__ = 'ChenyangGao <https://chenyanggao.github.io/>' __version__ = (0, 0, 3) __all__ = ['TkinterXMLConfigParser'] # Reference: # - [python > docs > tkinter](docs.python.org/3/library/tkinter.html) # - [Tk tutorial](https://tk-tutorial.readthedocs.io/en/latest/) # ...
# --- # jupyter: # jupytext: # text_representation: # extension: .py # format_name: light # format_version: '1.5' # jupytext_version: 1.11.3 # kernelspec: # display_name: Python 3 # name: python3 # --- # + [markdown] id="view-in-github" colab_type="text" # <a href="https://colab...
#!/usr/bin/python # Python Dependencies import os from datetime import datetime # Python 3rd Party dependencies from werkzeug.utils import secure_filename # Flask dependecies from flask import Flask, flash, render_template, request, redirect, url_for import flask_login # SQL alchemy dependencies from sqlalchemy imp...
'''mpi4py wrapper that allows an ensemble of serial applications to run in parallel across ranks on the computing resource''' import argparse from collections import defaultdict import os import sys import logging import random from subprocess import Popen, STDOUT, TimeoutExpired import shlex import signal import time ...
# Copyright 2018 D-Wave Systems 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 applicable law or...
#!/usr/bin/env python # -*- coding: utf-8 -*- import numpy as np import optparse import os import re import sys import vtk from multiprocessing import Process import parse_imx RADIUS = 3 # For Open and Gauss SCALE = 50.0 # For Rasterization class RepairMeshParser(optparse.OptionParser): def __init__(self): ...
import csv from collections import deque from dataclasses import dataclass from decimal import Decimal from datetime import date import io import itertools from typing import List, Optional from dateutil.parser import parse as dateparse from dateutil.relativedelta import relativedelta from casparser.exceptions import...
# Copyright (c) 2016 <NAME> # 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 limitation the rights # to use, copy, modify, merge, publish, distribute, s...
import os import numpy as np import pandas as pd from scipy import sparse as sp from typing import Callable, List, Tuple, Dict from os.path import join from . import utils, process_dat from . import SETTINGS_POLIMI as SETTINGS os.environ['NUMEXPR_MAX_THREADS'] = str(SETTINGS.hyp['cores']) pd.options.mode.chained_ass...
#/*********************************************************************** # * Licensed Materials - Property of IBM # * # * IBM SPSS Products: Statistics Common # * # * (C) Copyright IBM Corp. 1989, 2020 # * # * US Government Users Restricted Rights - Use, duplication or disclosure # * restricted by GSA ADP Schedule Co...
# (C) Copyright 1996-2018 ECMWF. # # This software is licensed under the terms of the Apache Licence Version 2.0 # which can be obtained at http://www.apache.org/licenses/LICENSE-2.0. # In applying this licence, ECMWF does not waive the privileges and immunities # granted to it by virtue of its status as an intergov...
import os import requests import time import json import io import numpy as np import pandas as pd import paavo_queries as paavo_queries from sklearn.linear_model import LinearRegression import statsmodels.api as sm ## NOTE: Table 9_koko access is forbidden from the API for some reasons. # url to the API...
#!/usr/bin/env python3.6 # -*- mode: python -*- # ============================================================================= # @@-COPYRIGHT-START-@@ # # Copyright (c) 2020 of Qualcomm Innovation Center, Inc. All rights reserved. # # @@-COPYRIGHT-END-@@ # ===========================================================...
##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ #Created by: <NAME> #BE department, University of Pennsylvania ##+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ import numpy as np import nibabel as nib import os from tqdm import tqdm from functools import partial i...
import base64 import hashlib import inspect import logging import os import random import string import sys import textwrap import re import uuid import warnings from datetime import datetime from secrets import token_bytes from time import sleep from urllib.parse import urlencode, quote_plus, unquote_plus from d...
""" Graph exploration module. """ import itertools import time from qas.wikidata import Wikidata, NoSPARQLResponse MAX_PATH_LENGTH = 5 DISABLE_PARALLEL = True RETRY_PARALLEL_SPARQL = False class Path(object): def __init__(self, path, config, item_from, item_to): self.length = len(path) // 2 + 1 ...
from copy import deepcopy import os import uuid import pyparsing from lxml import etree from resources.sbtabpy import modelSystem OUTPUT_NAME = "test_model.xml" ###################### ###################### ## ## Utility Functions ## ###################### ###################### def genID(): ...
import torch import torch_quiver as torch_qv import random import numpy as np import time from typing import List from quiver.shard_tensor import ShardTensor, ShardTensorConfig, Topo from quiver.utils import reindex_feature import torch.multiprocessing as mp from torch.multiprocessing import Process import os import sy...
""" This module contains methods for creating a game H2H chart. """ import matplotlib.pyplot as plt import numpy as np # standard scientific python stack import pandas as pd # standard scientific python stack from scrapenhl2.manipulate import manipulate as manip from scrapenhl2.scrape import schedules, team_info, p...
# coding: utf-8 from typing import List, Tuple, Dict import torch import logging import sys import os import copy import json import collections import subprocess from tqdm import tqdm, trange from torch.utils.data import TensorDataset, DataLoader, RandomSampler, SequentialSampler from torch.utils.data.distributed impo...
"""BrandComparator2.ipynb Server Link: https://colab.research.google.com/drive/15x-yWFGtF57rOCfi9tqEONlYWeGlkoml [Colab Notebook with Explanation](https://colab.research.google.com/drive/1dYH5PAausru6lQy1dh5-aGC9S9DXO_bV?usp=sharing) [Anvil App](https://NPFLBAAEVOXXUYZK.anvil.app/QED54JFBPJMZBQPITDWWVL75) # Inst...
# !/usr/bin/env python # coding:utf-8 # Author:XuPengTao # Date: 2020/3/14 from ssd.layers import L2Norm import torch.nn.functional as F import torch.nn as nn import torch from ssd.modeling import registry import os import quantization.WqAq.dorefa.models.util_wqaq as dorefa import quantization.WqAq.IAO.models.util_wqaq...
from PySide6.QtCore import Qt, QThread, Signal, QPoint, QRect, QLocale, QTranslator, QCoreApplication, QThreadPool, \ QObject, QRunnable from PySide6.QtGui import QCursor, QPixmap, QIcon, QFont from PySide6.QtWidgets import QApplication, QMessageBox from gui_about import Ui_AboutWindow from gui_main import Ui_MainW...
from dipsim import multiframe, util import numpy as np import matplotlib.pyplot as plt import matplotlib import matplotlib.patches as patches import os; import time; start = time.time(); print('Running...') import matplotlib.gridspec as gridspec # Main input parameters col_labels = ['Geometry\n (NA = 0.6, $\\beta=80{}...
#!/usr/bin/env python # Superficies de revolucion import OpenGL OpenGL.ERROR_ON_COPY = True from OpenGL.GL import * from OpenGL.GLU import gluOrtho2D from OpenGL.GLUT import * import sys, time from sympy.core.sympify import sympify from sympy import * from OpenGL.constants import GLfloat from OpenGL.GL.ARB.multisampl...
from dataclasses import dataclass import netCDF4 import numpy as np from openamundsen import constants, errors, fileio, util import pandas as pd import pandas.tseries.frequencies import pyproj import xarray as xr _ALLOWED_OFFSETS = [ pd.tseries.offsets.YearEnd, pd.tseries.offsets.YearBegin, pd.tseries.off...
from archive.groups import Group from archive.teams import Team from logging import Logging from itertools import cycle import datetime from copy import deepcopy from sys import exit import collections from os import path, getcwd class Tournament: """ Store (and initialise) dictionary and storage structures ...
# -*- coding: utf-8 -*- from random import Random #from core.dataloader import DataLoader from torch.utils.data import DataLoader import numpy as np from math import * import logging from scipy import stats import numpy as np from pyemd import emd from collections import OrderedDict import time import pickle, random fr...
import numpy as np from .citations import cvisb, kgh def binarize(val): if((val == val) & (val is not None)): if(val == 0): return(False) elif(val == 1): return(True) elif(val.lower() == "yes"): return(True) elif(val.lower() == "no"): ...
#!/usr/bin/env python # -*- coding: utf-8 -*- ####################################### #-------------------------------------# # Module: Frontera Eficiente # #-------------------------------------# # Creado: # # 20. 04. 2019 # # Ult. modificacion: ...
## ACL Import Module # ACL CSV Import # Version 5 # 2015-10-30 # we only need the datetime class & the static function strptime from datetime module from datetime import datetime import re import sys import os import logging # best postgresql module so far, install it "yum install python-psycopg2" import psycopg2 im...
from collections import ( OrderedDict, ) from unittest.mock import Mock import pandas as pd from datetime import ( datetime, ) from fireant import * from fireant.slicer.references import ReferenceType from fireant.slicer.totals import get_totals_marker_for_dtype from fireant.utils import ( format_dimensio...
""" Plot various visualizations """ import sys import json from collections import Counter import numpy as np import scipy.stats as scstats import matplotlib matplotlib.use("agg") import matplotlib.pyplot as plt import matplotlib.cm as cm import matplotlib.patches as mp from zipteedo.util import GzipFileType, load...
import argparse import csv import glob import json import os import re import time from math import ceil from shutil import copyfile, rmtree from urllib.parse import urlparse import requests from pyproc import Lpse, __version__ from pyproc.helpers import DetilDownloader from urllib3 import disable_warnings from urll...
from megastone.util import round_up import threading import logging import io import enum import dataclasses import abc from megastone.errors import UnsupportedError from megastone.mem import SegmentMemory, MemoryAccessError from megastone.debug import Debugger, StopReason, StopType, HookType, CPUError, InvalidInsnErr...
"""Main module.""" __authors__ = '<NAME>, <NAME>' __version__ = '1.0' __date__ = '9/10/2017' import json import os.path import pickle import random import urllib from bs4 import BeautifulSoup from nltk.corpus import stopwords from sklearn.feature_extraction.text import CountVectorizer from sklearn.feature_extracti...
import torch import torch.nn as nn import torch.nn.functional as F from torchvision.models import resnet18, vgg16_bn import omni_torch.networks.blocks as block import researches.img2img.probaV_SR.pvsr_module as module class CARN(nn.Module): def __init__(self, inchannel, filters, scale, BN=nn.BatchNorm2d, s_MSE=Fa...
from __future__ import print_function import argparse import os import platform import time import cv2 import h5py import torch.optim as optim from torch.utils.data import DataLoader from datasets import DATASET_NAMES, TrainDataset, TestDataset, dataset_info from losses import * from model import DexiNed from model_...
# Standard imports import keras as k import tensorflow as tf import numpy as np """ NOTE: All functions in this file are directly adopted from continuum mechanics fundamentals and hence do not need further introduction. In order to not inflate this file unnecessarily with comments (and sacrificing readability), we...
#### Usage: python3 this.py <VDJ.bed> <D.fa> <scripts_dir> <input.tlx> <output_prefix> #### 2020-02-11, we think the default score threshold = 5 of D annotation in VDJ recombination (yyx_annotate_tlx_midD_LCS.20190116.py) may be too stringent. #### We decide to change it to 3, and then implement another script to ...
#!/usr/bin/env python import sys import os import subprocess import functools import collections # Parameters lbann_dir = subprocess.check_output(["git", "rev-parse", "--show-toplevel"]).strip() lbann_proto_dir = lbann_dir + "/src/proto/" work_dir = lbann_dir + "/model_zoo/models/vram" template_proto = l...
from functools import lru_cache import math import logging from enum import Enum from typing import Optional, List, Tuple, Any, Union, Dict, Callable from concurrent.futures import ThreadPoolExecutor from io import BytesIO import requests import numpy as np from google.api_core import retry from PIL import Image from ...
""" Builds wheel files for the dependencies of an app, specified in requirements.txt, into the wheels/ folder of the app repo, and updates the app's JSON config specifying any generated wheels as pip dependencies. NOTE: If running this script with the --repair_wheels flag, make sure the script is executed from a manyl...
from http import HTTPStatus import pytest from django import urls from crashbin_app.models import Bin, OutgoingMessage, NoteMessage, Label pytestmark = pytest.mark.django_db def test_home(admin_client): response = admin_client.get(urls.reverse("home")) assert response.status_code == HTTPStatus.OK asse...
# coding=utf-8 # Copyright (c) 2021 <NAME> <<EMAIL>>. All rights reserved. # This file is based on code by the authors denoted below and has been modified from its original version. # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you...
from itertools import product from Tables import query from .ImageHelper import * get_width = lambda v: int(21 + 4*(v - 1)) def get_position_info(version:int) -> list: width = get_width(version) info = list() color = [ [1, 1, 1, 1, 1, 1, 1], [1, 0, 0, 0, 0, 0, 1], [1, 0, 1, 1, 1, 0...
# Copyright (c) 2020, <NAME>, Honda Research Institute Europe GmbH, and # Technical University of Darmstadt. # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # 1. Redistributions of source code mus...
""" Functions for explaining classifiers that use tabular data (matrices). """ import collections import json import copy import numpy as np import sklearn import sklearn.preprocessing from . import lime_base from . import explanation class TableDomainMapper(explanation.DomainMapper): """Maps feature ids to names,...
from __future__ import absolute_import import os.path import argparse import logging import json from six import iteritems import numpy as np from sklearn.model_selection import train_test_split from sklearn.externals import joblib from keras.models import load_model from tensorflow.python.client import device_lib f...
# # Copyright The NOMAD Authors. # # This file is part of NOMAD. See https://nomad-lab.eu for further info. # # 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/licen...
""" The :mod:`fatf.utils.models.models` module holds custom models. The models implemented in this module are mainly used for used for FAT Forensics package testing and the examples in the documentation. """ # Author: <NAME> <<EMAIL>> # License: new BSD import abc from typing import Optional import numpy as np imp...
""" Base functionality of meshed """ from collections import Counter from dataclasses import dataclass, field from functools import partial from typing import Callable, MutableMapping, Iterable, Union, Sized, Sequence from i2 import Sig, call_somewhat_forgivingly from meshed.util import ValidationError, NameValidation...
from . import core import io import re import requests import pytz import time import datetime as dt import dateutil.parser as du import numpy as np import pandas as pd from typing import Tuple, Dict, List, Union, ClassVar, Any, Optional, Type import types class ...
#!/usr/bin/python # -*- coding: utf-8 -*- # pylint: disable=invalid-name """Let viewers pay currency to boost currency payouts for everyone in chat for x seconds""" import json import os, os.path import operator import time import codecs #--------------------------------------- # [Required] Script information #-------...
# Copyright (c) 2018 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...
""" This module is the main API used to create track collections """ # Standard library imports import copy import random import inspect import logging import itertools from typing import Any from typing import List from typing import Union from typing import Tuple from typing import Callable from dataclasses impo...
#!/usr/bin/python # python console for OnlyRAT # created by : C0SM0 # imports import os import sys import getpass import random as r from datetime import datetime # banner for display banner = """ _;, ...
""" PyAltmetric This is a python wrapper for the Altmetric API. For more information on the Altmetric API visit http://api.altmetric.com/. Some pieces of this library were inspired by or derived from the altmetric api wrapper altmetric.py which is licensed under the MIT open source license. If you display Altmetric ...
from bottle import ( template, route, redirect, request, ) from models import ( Article, ArticleLinks, Wiki, Author, Tag, Metadata, ) from peewee import SQL from .decorators import * from .wiki import wiki_home from .media import image_search from utils import Message, Error,...
import sys from pathlib import Path import os import torch from torch.optim import Adam import torch.nn as nn import torch.nn.functional as F import numpy as np from networks.critic import Critic from networks.actor import NoisyActor, CategoricalActor, GaussianActor base_dir = Path(__file__).resolve().parent.parent....
#!/usr/bin/env python3 #-*- coding: utf-8 -*- # # PlayonCloud recorder # # update-alternatives --install /usr/bin/python python /usr/bin/python3.7 2 # sudo apt-get install chromium-chromedriver # sudo apt-get install libxml2-dev libxslt-dev python-dev # which python3 (make sure that path is /usr/bin/python3) # # Fin...
# -*- coding: utf-8 -*- ''' FileExplorer ============ The :class:`FileExplorer` widget is an advanced file browser. You use it similarly to FileChooser usage. It provides a shortcut bar with links to special and system directories. When touching next to a shortcut in the links bar, it'll expand and show all the direc...
"""Module providing functions to build an init script The :func:`mkinit` function will generate a ``/init`` script. ``do_foo()`` functions write a string performing the foo action into a stream. This stream should be the init script. ``_fun_foo()`` functions write a string defining the foo function into a stream. Th...
# # Copyright (c) 2020 Bitdefender # SPDX-License-Identifier: Apache-2.0 # import yaml import struct import os import crc32 from options import get_options_for_os_version from objects import CamiYAMLObject, CamiObject, CamiAtom, CamiDataTable, FilePointerException, get_all_objects from common import IntrocoreVersion fr...