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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from .base import DataReaderBase
from ..tools import COL, _get_dates, to_float, to_int
import pandas as pd
#from pandas.tseries.frequencies import to_offset
from six.moves import cStringIO as StringIO
import logging
import traceback
import datetime
import json
import tok... |
import logging
from asyncio import sleep
import discord
from discord.ext import commands
from config import SETTINGS
from crew import crew_embed
from diary import diary_embed
from film import film_embed
from helpers import LetterboxdError
from list_ import list_embed
from review import review_embed
from user import us... |
# -*- encoding:utf-8 -*-
# @Time : 2021/1/3 15:15
# @Author : gfjiang
import os.path as osp
import mmcv
import numpy as np
import cvtools
import matplotlib.pyplot as plt
import cv2.cv2 as cv
from functools import partial
import torch
import math
from cvtools.utils.path import add_prefix_filename_suffix
from mmdet.... |
# Copyright 2013 Mirantis, 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 ... |
# vi: ts=4 sw=4
'''AreaDetector Devices
`areaDetector`_ detector abstractions
.. _areaDetector: https://areadetector.github.io/master/index.html
'''
import warnings
from .base import (ADBase, ADComponent as C)
from . import cam
__all__ = ['DetectorBase',
'AreaDetector',
'AdscDetector',
... |
""" Logging functions for the ``jwql`` automation platform.
This module provides decorators to log the execution of modules. Log
files are written to the ``logs/`` directory in the ``jwql`` central
storage area, named by module name and timestamp, e.g.
``monitor_filesystem/monitor_filesystem_2018-06-20-15:22:51.log`... |
import gym
import numpy as np
from itertools import product
import matplotlib.pyplot as plt
def print_policy(Q, env):
""" This is a helper function to print a nice policy from the Q function"""
moves = [u'←', u'↓',u'→', u'↑']
if not hasattr(env, 'desc'):
env = env.env
dims = env.desc.shape
... |
# Copyright 2020, <NAME>, mailto:<EMAIL>
#
# Part of "Nuitka", an optimizing Python compiler that is compatible and
# integrates with CPython, but also works on its own.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Lice... |
import os
import sys
from lxml import html
import pathlib
import json
import m3u8
from seleniumwire import webdriver
from selenium.common.exceptions import TimeoutException, NoSuchElementException
from selenium.webdriver.firefox.options import Options as FirefoxOptions
IFRAME_CSS_SELECTOR = '.iframe-container>iframe'... |
import discord
import os
import json
import datetime
import pandas as pd
from dateutil.relativedelta import relativedelta
from pprint import pprint
import base.ColorPrint as CPrint
import command.voice_log.Config_Main as CSetting
def most_old_Month() :
old_month = 1
labels = []
fileNameList = []
while True :
... |
import os, time, argparse
from datetime import datetime
from pm4py.objects.log.importer.csv import factory as csv_importer
from pm4py.objects.log.exporter.xes import factory as xes_exporter
from pm4py.objects.log.importer.xes import factory as xes_importer
from pm4py.objects.petri.importer import pnml as pnml_importer... |
from operator import attrgetter
import logging
import os
import shutil
import subprocess
import pyfastaq
import pymummer
from cluster_vcf_records import vcf_record
from varifier import utils
# We only want the .snps file from the dnadiff script from MUMmer. From reading
# the docs inspecting that script, we need to ... |
# HomeAssistant Status Output
# Publishes the provided sensor key and value pair to a HomeAssistant instance
import logging
import time
from ww import f
logger = logging.getLogger(__name__.rsplit(".")[-1])
class HASSStatus:
import threading
import requests
apiKey = None
config = None
configCo... |
"""Generic functionality useful for all gene representations.
This module contains classes which can be used for all the different
types of patterns available for representing gene information (ie. motifs,
signatures and schemas). These are the general classes which should be
handle any of the different specific patte... |
#!/usr/bin/python
# (c) 2020, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
'''
na_ontap_autosupport_invoke
'''
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
'metadata_version': '1.1',
's... |
# -*- coding: utf-8 -*-
'''
Oracle DataBase connection module
:mainteiner: <NAME> <<EMAIL>>
:maturity: new
:depends: cx_Oracle
:platform: all
:configuration: module provide connections for multiple Oracle DB instances.
**OS Environment**
.. code-block:: text
ORACLE_HOME: path to oracle product
... |
"""
This code is used to scrape ScienceDirect of publication urls and write them to
a text file in the current directory for later use.
"""
import selenium
from selenium import webdriver
import numpy as np
import pandas as pd
import bs4
from bs4 import BeautifulSoup
import time
from sklearn.utils import shuffle
def s... |
import numpy
from keras.preprocessing import sequence
from keras.preprocessing.text import Tokenizer
from src.support import support
class PhraseManager:
def __init__(self, configuration):
self.train_phrases, self.train_labels = self._read_train_phrases()
self.test_phrases, self.test_labels = se... |
##########################################################################
#
# Copyright (c) 2013, <NAME>. All rights reserved.
# Copyright (c) 2013, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the f... |
from datetime import date
from django.core.cache import cache
from django.db.models import Q, F
from django.shortcuts import render
from django.shortcuts import get_object_or_404
from django.views.generic import ListView, DetailView
#from silk.profiling.profiler import silk_profile
from config.models import SideBar
f... |
import numpy as np
from stumpff import C, S
from CelestialBody import BODIES
from numerical import newton, laguerre
from lagrange import calc_f, calc_fd, calc_g, calc_gd
def kepler_chi(chi, alpha, r0, vr0, mu, dt):
''' Kepler's Equation of the universal anomaly, modified
for use in numerical solvers. '''
... |
# Copyright 2021 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... |
"""
Module for working with named and anonymous maps
.. module:: carto.maps
:platform: Unix, Windows
:synopsis: Module for working with named and anonymous maps
.. moduleauthor:: <NAME> <<EMAIL>>
.. moduleauthor:: <NAME> <<EMAIL>>
"""
try:
from urllib.parse import urljoin
except ImportError:
from url... |
import cv2
import torch
import yaml
import imageio
import throttle
import numpy as np
import matplotlib.pyplot as plt
from argparse import ArgumentParser
from skimage.transform import resize
from scipy.spatial import ConvexHull
from modules.generator import OcclusionAwareGenerator
from modules.keypoint_detector import... |
"""
This module defines the ``geoplot`` coordinate reference system classes, wrappers on
``cartopy.crs`` objects meant to be used as parameters to the ``projection`` parameter of all
front-end ``geoplot`` outputs. For the list of Cartopy CRS objects this module derives from,
refer to http://scitools.org.uk/cartopy/docs... |
#!/usr/bin/env python3
import tensorflow as tf
physical_devices = tf.config.list_physical_devices('GPU')
try:
tf.config.experimental.set_memory_growth(physical_devices[0], True)
except:
# Invalid device or cannot modify virtual devices once initialized.
pass
import numpy as np
import os, time, csv
import ... |
""" Homework 2: Higher Order Functions"""
HW_SOURCE_FILE = 'hw02.py'
from operator import add, mul, sub
square = lambda x: x * x
identity = lambda x: x
triple = lambda x: 3 * x
increment = lambda x: x + 1
######################
# Required Questions #
######################
def product(n, f):
"""Return the pr... |
import asyncio
from typing import Union
import datetime
import time
from discord.ext import commands
import yaml
from cogs import checks
import database
import utils
# Loads the repeating interval dictionary
with open("conversions.yml", "r") as conversion_file:
conversion_dict = yaml.load(conversion_file, Loade... |
import torch
import numpy as np
import pickle
torch.manual_seed(17)
torch.backends.cudnn.deterministic = True
torch.backends.cudnn.benchmark = False
np.random.seed(17)
import argparse
import torch.nn as nn
import torch.nn.functional as F
import matplotlib
import os
from rational.torch import Rational, RecurrentRationa... |
import names
import os
import datetime
from random import random
def generate_gedcom_file():
"""generate some gedcom file"""
db = {}
db['n_individuals'] = 0
db['max_individuals'] = 8000
db['n_families'] = 0
db['yougest'] = None
gedcom_content = """
0 HEAD
1 SOUR Gramps
2 VERS 3.3.0
2 N... |
# Script tests GPD model using UW truth data
# Test outputs:
# - type of event tested [EQS, EQP, SUS, SUP, THS, THP, SNS, SNP, PXS, PXP]
# - phase [P, S, N] Note: N - not detected
# - model time offset (t_truth - t_model_pick)
import numpy
import math
import string
import datetime
import sys
import os
im... |
import argparse
import boto3
import datetime
import json
import os
import posixpath
import re
import shutil
import tempfile
import uuid
from concurrent import futures
from multiprocessing import Pool
from ultitrackerapi import get_backend, get_logger, get_s3Client, video
backend_instance = get_backend()
logger = ... |
import sklearn
import pandas
import seaborn as sns
import matplotlib.pyplot as pyplot
from functools import reduce
# import numpy as np
def metrics_from_prediction_and_label(labels, predictions, verbose=False):
measures = {
"accuracy": sklearn.metrics.accuracy_score(labels, predictions),
"balance... |
#
# 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 us... |
#!/usr/bin/env python2.7
# Copyright 2015 gRPC authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... |
import argparse
from collections import defaultdict
import csv
from dataclasses import dataclass, field
from enum import Enum, unique, auto
import os
import sys
import tempfile
import yaml
import zipfile
import gffutils
from google.protobuf import json_format
from ncbi.datasets.v1alpha1 import dataset_catalog_pb2
from... |
import datetime
import json
from calendar import timegm
from urllib.parse import parse_qsl
import requests
from allauth.socialaccount import models as aamodels
from requests_oauthlib import OAuth1
from rest_framework import parsers, renderers
from rest_framework import status
from rest_framework.authtoken.models impor... |
# -*- coding: utf-8 -*-
# Copyright (c) 2008-2013 LOGILAB S.A. (Paris, FRANCE).
# http://www.logilab.fr/ -- mailto:<EMAIL>
#
# This program is free software; you can redistribute it and/or modify it under
# the terms of the GNU General Public License as published by the Free Software
# Foundation; either version 2 of t... |
import torch
from torch.nn import functional as F
from torch import nn
from torch.autograd import Variable
from adet.utils.comm import compute_locations, aligned_bilinear
def dice_coefficient(x, target):
eps = 1e-5
n_inst = x.size(0)
x = x.reshape(n_inst, -1)
target = target.reshape(n_inst, -1)
in... |
import base64
import io
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
from dash.dependencies import Input, Output
import numpy as np
import tensorflow as tf
from PIL import Image
from constants import CLASSES
import yaml
with open('app.ya... |
from collections import namedtuple
import torch
from torch.nn import (AdaptiveAvgPool2d, BatchNorm2d, Conv2d, MaxPool2d,
Module, PReLU, ReLU, Sequential, Sigmoid)
# yapf: disable
"""
ArcFace implementation from [TreB1eN](https://github.com/TreB1eN/InsightFace_Pytorch) # isort:skip # noqa
"""
# ... |
"""
Services are the heart of RPyC: each side of the connection exposes a *service*,
which define the capabilities available to the other side.
Note that the services by both parties need not be symmetric, e.g., one side may
exposed *service A*, while the other may expose *service B*. As long as the two
can interopera... |
#! /usr/bin/env python3
# Copyright 2020 Tier IV, 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 la... |
# encoding: UTF-8
from builtins import str
import psutil
# import sys
# PyQt 4/5 compatibility
try:
from PyQt4.QtGui import QMainWindow, QDialog, QDockWidget, QAction, QHeaderView, QMessageBox, QLabel, QVBoxLayout
from PyQt4 import QtCore
except ImportError:
from PyQt5.QtWidgets import QMainWindow, QDial... |
from typing import Any, Text, Dict, List, Union
from rasa_sdk import Action, Tracker
from rasa_sdk.executor import CollectingDispatcher
from rasa_sdk.forms import FormAction
from rasa_sdk.events import UserUtteranceReverted, UserUttered, FollowupAction
# from rasa_core.events import (UserUtteranceReverted, UserUttered... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import csv
import furl
import json
import re
import sys
from collections import defaultdict
def filter_records_without_url(records: []) -> []:
return [r for r in records if any(r.get("urls"))]
def build_furl(url: str) -> furl.furl:
try:
... |
# This source code is part of the Biotite package and is distributed
# under the 3-Clause BSD License. Please see 'LICENSE.rst' for further
# information.
__name__ = "biotite.application"
__author__ = "<NAME>"
__all__ = ["Application", "AppStateError", "TimeoutError", "VersionError",
"AppState", "requires_s... |
import random
class Status(object):
def getHeadPosition(gamedata):
me = gamedata['you']
my_position = me['body']
head = my_position[0]
return head
def getMyLength(gamedata):
me = gamedata['you']
my_position = me['body']
if my_position[0] == my_position[1] == my_position[2]:
return 1
elif my_... |
import cv2
from cv2 import *
import numpy as np
from matplotlib import pyplot as plt
###############################SIFT MATCH Function#################################
def SIFTMATCH(img1,img2):
# Initiate SIFT detector
sift = cv2.xfeatures2d.SIFT_create()
# find the keypoints and descri... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
import logging
import os
import pprint
import unittest
import numpy as np
# pyre-fixme[21]: Could not find module `pytest`.
import pytest
import torch
from parameterized import parameterized
from reagent.core.types import R... |
import tensorflow as tf
def _is_tensor(x):
"""Returns `True` if `x` is a symbolic tensor-like object.
From http://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/image_ops_impl.py
Args:
x: A python object to check.
Returns:
`True` if `x` is a `tf.Tensor` or `tf.Va... |
# ------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -------------------------------------------------------------------... |
from initialize import *
from core.db.db_func import query_linedrug_list
import os
import wx
class DrugPopup(wx.ComboPopup):
def __init__(self, parent):
super().__init__()
self.lc = None
self.mv = parent.mv
self.init_d_l = query_linedrug_list(self.mv.sess).all()
self.d_l =... |
import json
import multiprocessing as mp
import re
from argparse import ArgumentParser
from enum import Enum, auto
import javalang
from functools import partial
PRED_TOKEN = 'PRED'
modifiers = ['public', 'private', 'protected', 'static']
class TargetType(Enum):
seq = auto()
tree = auto()
@staticmethod
... |
# Lint as: python2, python3
# Copyright 2019 Google LLC. 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless re... |
"""
tweet stuff in intervals
"""
import time
import datetime
import twitter
from markov_chains import german_text
from config import config_no, config_yes
MAX_TWEET_LENGTH = 280
greeting = ' Sehr geehrte/r Anstragssteller/in.'
ending = ' MfG'
num_tweets = 3
class FoiaBot:
def __init__(self, config):
s... |
import os
import logging
from json import loads, dumps
from datetime import timedelta
from argparse import ArgumentParser
from redis import Redis
from flask import Response, Flask, request
app = Flask(__name__)
log = logging.getLogger(__name__)
parser = ArgumentParser()
parser.add_argument("-a", "--address",
... |
#!/usr/bin/env python3
#
# 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law ... |
import tensorflow as tf
import json
import math
import cv2
import time
import argparse
import concurrent.futures
import posenet
import keyboard
import sys
import numpy as np
from threading import Thread
from slugify import slugify
parser = argparse.ArgumentParser()
parser.add_argument('--model', type=int, default=101)... |
# 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 in writing, software
# distrib... |
# <NAME> (<EMAIL>)
# April 2018
import os, sys
BASE_DIR = os.path.normpath(
os.path.join(os.path.dirname(os.path.abspath(__file__))))
sys.path.append(os.path.join(BASE_DIR, '..'))
from datasets import *
from generate_outputs import *
from scipy.optimize import linear_sum_assignment
#import matplotlib.pyplot a... |
from aux_sys_err_prediction_module.additive.R_runmed_spline.my_R_runmed_spline_fit import R_runmed_smooth_spline
from numpy import random, array, median, zeros, arange, hstack
from win32com.client import Dispatch
import math
myName = 'R_runmed_spline'
useMAD = True # use median absolute deviations instead of ... |
import functools
import logging
import random
from flask import Flask, render_template, request
import joblib
from lxml.html import html5parser
import lxml.html
import requests
import yarl
import webstruct.model
import webstruct.sequence_encoding
import webstruct.webannotator
webstruct_demo = Flask(__name__, instan... |
import sys, os
import tarfile
import shutil
from edx_gen import _edx_consts
from edx_gen import _read_metadata
from edx_gen import _write_structure
from edx_gen import _write_comps
from edx_gen import _write_comp_html
from edx_gen import _write_comp_checkboxes
from edx_gen import _write_comp_video
from edx_gen i... |
# -*- coding: utf-8 -*-
"""Parser for the CCleaner Registry key."""
import re
from dfdatetime import time_elements as dfdatetime_time_elements
from plaso.containers import events
from plaso.containers import time_events
from plaso.lib import definitions
from plaso.parsers import winreg_parser
from plaso.parsers.winr... |
# coding=utf-8
# Copyright 2015 Google Inc. 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 ap... |
"""Classes to represent Packet Filter's queueing schedulers and statistics."""
import pf._struct
from pf._base import PFObject
from pf.constants import *
from pf._utils import rate2str
__all__ = ["ServiceCurve",
"FlowQueue",
"PFQueue",
"PFQueueStats"]
class ServiceCurve(PFObject):
... |
import argparse
import logging
import multiprocessing as mp
import logging
import os
from detectron2.evaluation import inference_context
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from detectron2.utils.collect_env import collect_env_info
from detectron2.utils.logger import setup_lo... |
import get_data_ours
import get_data_akiba
import get_data_NearLinear
import get_data_LinearTime
import os
import matplotlib.pyplot as plt
# graphs = ["uk-2002", "arabic-2005", "gsh-2015-tpd", "uk-2005", "it-2004", "sk-2005", "uk-2007-05", "webbase-2001", "asia.osm", "road_usa", "europe.osm", "rgg_n26_s0", "RHG-10000... |
"""Library for executing user-defined dance."""
import logging
from typing import Any, Dict, Optional, Callable
import datetime
import ac
import ac.blocks
from ac import ACs, AC
JC = Dict[str, Any]
class DanceStartException(Exception):
pass
class Step:
"""Base class for all specific dance steps."""
... |
""" BigGAN: The Authorized Unofficial PyTorch release
Code by <NAME> and <NAME>
This code is an unofficial reimplementation of
"Large-Scale GAN Training for High Fidelity Natural Image Synthesis,"
by <NAME>, <NAME>, and <NAME> (arXiv 1809.11096).
Let's go.
"""
import datetime
import time
import torc... |
# Ce fichier contient (au moins) cinq erreurs.
# Instructions:
# - tester jusqu'à atteindre 100% de couverture;
# - corriger les bugs;"
# - envoyer le diff ou le dépôt git par email."""
import hypothesis
from hypothesis import given, settings
from hypothesis.strategies import integers, lists
class BinHeap:
#st... |
# PyTorch
import torch
from torch.utils.data import IterableDataset, DataLoader
from donkeycar.utils import train_test_split
from donkeycar.parts.tub_v2 import Tub
from torchvision import transforms
from typing import List, Any
from donkeycar.pipeline.types import TubRecord, TubDataset
from donkeycar.pipeline.sequence ... |
def help():
return '''
Isotropic-Anisotropic Filtering Norm Nesterov Algorithm
Solves the filtering norm minimization + quadratic term problem
Nesterov algorithm, with continuation:
argmin_x || iaFN(x) ||_1/2 subjected to ||b - Ax||_2^2 < delta
If no filter is provided, solves the L1.
Continuation is perf... |
import dash
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import logging
import json
import os
import pandas as pd
from datetime import datetime
from datetime import timedelta
fro... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from pkg_resources import parse_version
from warnings import warn
from copy import deepcopy
import networkx as nx
from networkx.readwrite import json_graph
from catpy.applications.base import CatmaidClientApplication
NX_VERSION_INFO = parse_version(nx.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""A module containing an algorithm for hand gesture recognition"""
import numpy as np
import cv2
from typing import Tuple
__author__ = "<NAME>"
__license__ = "GNU GPL 3.0 or later"
def recognize(img_gray):
"""Recognizes hand gesture in a single-channel depth image
... |
from __future__ import annotations
import numpy as np
import pandas as pd
from sklearn import datasets
from IMLearn.metrics import mean_square_error
from IMLearn.utils import split_train_test
from IMLearn.model_selection import cross_validate
from IMLearn.learners.regressors import PolynomialFitting, LinearRegression, ... |
import re
import copy
def parse_media(media, content_version, project_chapters):
"""
Converts a media object into formats usable in the catalog
:param media: the media object
:type media: dict
:param content_version: the current version of the source content
:type content_version: string
:p... |
from __future__ import absolute_import, division, print_function, unicode_literals
from base64 import b64decode
from binascii import hexlify, unhexlify
from struct import pack
import six
from django.db import models
from django.utils.encoding import force_text
from django_otp.models import Device
from django_otp.ut... |
import math
import numpy as np
import numpy.random as npr
import torch
import torch.utils.data as data
import torch.utils.data.sampler as torch_sampler
from torch.utils.data.dataloader import default_collate
from torch._six import int_classes as _int_classes
from core.config import cfg
from roi_data.minibatch import ... |
# -*- coding: utf-8 -*-
# Copyright (c) 2021, libracore AG and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
from datetime import datetime
from PyPDF2 import PdfFileWriter
from frappe.utils.file_manager im... |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2013 Nicira, Inc.
# 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/lic... |
from __future__ import annotations
from dataclasses import dataclass, field, InitVar
from typing import List, Tuple, Iterator, Iterable, Optional
from random import choice
import pyxel
# -------------------------------------------------------
# Types
# -------------------------------------------------------
Maze = T... |
## MODULE WITH UTIL FUNCTIONS - NOTION
"----------------------------------------------------------------------------------------------------------------------"
####################################################### Imports ########################################################
"---------------------------------... |
#!/usr/bin/env python3
#
# Copyright (C) 2018 <NAME> <<EMAIL>>
# Copyright (C) 2019,2020 <NAME> <<EMAIL>>
# Copyright (C) 2020, <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 withou... |
from pathlib import Path
import h5py
import numpy as np
from torchvision.datasets.vision import VisionDataset
from PIL import Image
import requests
import zipfile
from tqdm import tqdm
def download_file_from_google_drive(id, destination):
URL = "https://docs.google.com/uc?export=download"
session = requests... |
# -*- coding: utf-8 -*-
# Copyright 1999-2020 Alibaba Group Holding 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 require... |
# Copyright 2016 Rackspace Australia
# 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 requi... |
#!/usr/bin/env python3
# coding: utf8
# /*##########################################################################
#
# Copyright (c) 2015-2021 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files ... |
# Copyright 2008-2015 Nokia Solutions and Networks
#
# 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 l... |
from calendar import c
from typing import Dict, List, Union
from zlib import DEF_BUF_SIZE
import json_lines
import numpy as np
import re
from sklearn.preprocessing import MultiLabelBinarizer
from sklearn.manifold import TSNE
from sklearn.preprocessing import StandardScaler
import pandas as pd
import json
from scipy.spa... |
#-------------------------------------------------------------------------------
#
# Project: EOxServer <http://eoxserver.org>
# Authors: <NAME> <<EMAIL>>
#
#-------------------------------------------------------------------------------
# Copyright (C) 2015 EOX IT Services GmbH
#
# Permission is hereby granted, free o... |
import functools
import json
from os.path import abspath, dirname, exists, join
from typing import Dict, Sequence
import numpy as np
import pandas as pd
import torch
from pymatgen.core import Composition
from torch.utils.data import Dataset
class CompositionData(Dataset):
def __init__(
self,
df: ... |
# -*- coding:utf-8 -*-
# ------------------------
# written by <NAME>
# 2018-10
# ------------------------
import os
import skimage.io
from skimage.color import rgb2gray
import skimage.transform
from scipy.io import loadmat
import numpy as np
import cv2
import math
import warnings
import random
import torch
import mat... |
'''
Created on Dec 27, 2019
@author: duane
'''
DOLLAR = ord('$')
LBRACE = ord('{')
RBRACE = ord('}')
LPAREN = ord('(')
RPAREN = ord(')')
class IStrFindResult(object):
OK = 0
NOTFOUND = 1
SYNTAX = 2
def __init__(self):
self.result = IStrFindResult.SYNTAX
self.lhs = 0
self.rh... |
import tensorflow as tf
@tf.function
def BinaryAccuracy_Infiltrates(y_true, y_pred, i=0):
return tf.keras.metrics.binary_accuracy(y_true[:, i], y_pred[:, i])
@tf.function
def BinaryAccuracy_Pneumonia(y_true, y_pred, i=1):
return tf.keras.metrics.binary_accuracy(y_true[:, i], y_pred[:, i])
@tf.function
def... |
import datetime
from decimal import Decimal, ROUND_DOWN, ROUND_UP
import logging
import re
from django.conf import settings
from django.core.exceptions import ValidationError
from django.core.validators import RegexValidator
from django.utils import formats
from django.utils.cache import patch_cache_control
from djang... |
import numpy as np
from sources import BaseSource
from sources.base import BaseSourceWrapper
from sources.preloaded import PreLoadedSource
import json
class WordsSource(BaseSource):
def __init__(self, source):
self._source = source
def __len__(self):
return len(self._source)
def _remove_... |
# -*- test-case-name: twisted.names.test.test_rootresolve -*-
# Copyright (c) 2001-2009 Twisted Matrix Laboratories.
# See LICENSE for details.
"""
Resolver implementation for querying successive authoritative servers to
lookup a record, starting from the root nameservers.
@author: <NAME>
todo::
robustify it
... |
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