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# Copyright 2019 RnD at Spoon Radio
#
# 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 wr... |
"""
Simulate a single sample or a batch of samples from the samples folder using the demand script.
The script `sensitivity_demand_samples.py` creates a samples folder containing a list of samples stored in the NumPy
array `samples.npy`. Each sample is a list of parameter values to set for a list of variables (the nam... |
import getpass
import json
import os
import sys
import time
import downloadipy
import requests
def get_auth_code():
auth_url = "{0}?client_id={1}&redirect_uri={2}&response_type=code&scope={3}".format(AUTH_URI, CLIENT_ID,
REDI... |
# import os
#
# os.environ["CUDA_VISIBLE_DEVICES"] = "2"
# import tensorflow as tf
# from keras.backend.tensorflow_backend import set_session
#
# config = tf.ConfigProto()
# config.gpu_options.per_process_gpu_memory_fraction = 0.30
# set_session(tf.Session(config=config))
import torch
torch.cuda.empty_cache()
# from R... |
import numpy as np
from scipy.stats import dirichlet, multivariate_normal
from data_generation import *
from matplotlib.colors import to_rgb
from tqdm import tqdm
import math
LOG_EPSILON = 10E-10
MIN_VARIANCE = 10E-3
CONVERGENCE_ERROR = 10E-5
MOVING_AVERAGE_WINDOW = 3
def random_initialization(data, num_components, ... |
#
# Collective Knowledge: autotune any custom dimensions provided by user
#
# See CK LICENSE.txt for licensing details
# See CK COPYRIGHT.txt for copyright details
#
# Developer: <NAME>, <EMAIL>, http://fursin.net
#
cfg={} # Will be updated by CK (meta description of this module)
work={} # Will be updated by CK (temp... |
import random
import networkx as nx
import numpy as np
from .bridge import bridges
def uniform(a, b):
def f():
return random.uniform(a, b)
return f
def _random_length(max_length):
length = uniform(1, max_length)
def f(x, y):
return length()
return f
def _length(pos=None):
... |
import ujson as json
from tqdm import tqdm
from dialogue.toolbox.vocab import Vocabulary, UNK_WORD, PAD_WORD, BOS_WORD, EOS_WORD, get_pretrained_embedding
from collections import Counter
import torch
import argparse
WORD_VOCAB_SIZE = 15000
ASER_VOCAB_SIZE = 40000
ASER_EVENT_VOCAB_SIZE = 30000
OMCS_VOCAB_SIZE = 30000
O... |
import copy
import numpy as np
import pandas as pd
from hypernets.core import set_random_state
from hypernets.experiment.compete import SteppedExperiment, ExperimentStep, \
EnsembleStep, FinalTrainStep
from hypernets.utils import logging
from hypernets.tabular impor... |
################################################################################
# impglobals.py
#
# General utilities used by the import process.
################################################################################
import json
import os
import re
import sys
import traceback
import pdsfile
import pdslogge... |
# ---------------------------------------------------------------------
# Failed Scripts Report
# ---------------------------------------------------------------------
# Copyright (C) 2007-2020 The NOC Project
# See LICENSE for details
# ---------------------------------------------------------------------
# Third-par... |
from glob import glob
from pathlib import Path
import os
import numpy as np
import re
root_path = str( Path.home() ) + "\\Desktop\\Simulation"
swarm_size = -1
global sim_count
global iter_count
global swarm_count
sim_count = 0
iter_count = 0
swarm_count = 20
def set_count( sim, iter, swarm ):
global sim_count
... |
import requests
import json
import pymysql
import csv
import time
import os
import traceback
def daily_scraper():
try:
os.remove('daily_weather.csv')
except:
pass
#Read in weather info and put into JSON Dump. Currently only doing it once
#This is for the whole day and is a forecast. Wil... |
#
# wpylib.math.fitting.funcs_simple module
# Created: 20150520
# <NAME>
#
# Imported 20150520 from Cr2_analysis_cbs.py
# (dated 20141017, CVS rev 1.143).
#
"""
wpylib.math.fitting.funcs_simple module
A library of simple f(x) functions for fitting
For use with OO-style x-y curve fitting interface.
"""
import numpy
f... |
"""
Small sphinx extension to show a UI example + result
"""
import os
import sys
import shutil
import hashlib
import warnings
import subprocess
import importlib.util
from docutils.parsers.rst import Directive
from docutils import nodes
from flexx import app
THIS_DIR = os.path.abspath(os.path.dirname(__file__))
ROO... |
import functools
import numpy as np
from scipy.ndimage import map_coordinates
def uv_meshgrid(w, h):
uv = np.stack(np.meshgrid(range(w), range(h)), axis=-1)
uv = uv.astype(np.float64)
uv[..., 0] = ((uv[..., 0] + 0.5) / w - 0.5) * 2 * np.pi
uv[..., 1] = ((uv[..., 1] + 0.5) / h - 0.5) * np.pi
return... |
#!/usr/bin/env python3
import socket, ssl
import struct, random
import datetime, asyncio
import copy
def main():
listen_host = '127.0.0.1'
listen_port = 5053
upstreams = \
[
UpstreamContext('1.1.1.1', 853, 'cloudflare-dns.com'),
UpstreamContext('8.8.8.8', 853, 'dns.google'),
UpstreamContext('9.9.9.9', 853,... |
"""
Functions to import process raw availability data from suncor exports
- Not imported by GUI app
"""
from datetime import datetime as dt
from datetime import timedelta as delta
from pathlib import Path
import pandas as pd
import pypika as pk
from smseventlog import config as cf
from smseventlog import functions a... |
import sqlite3 as sq3
import json
import nextcord
from typing import Optional, Tuple
from enum import IntEnum
from .ReportParser import Report, GameType
from util.exception import InvalidArgs
GAMETYPE_TO_LOWERCASE = {
GameType.BEGIN_FFA: "begin_ffa",
GameType.FFA: "ffa",
GameType.BEGIN_TEAMER: "begin_team... |
from pysavime.schema.dataset import *
from pysavime.schema.subtar import *
from pysavime.schema.tar import *
def _to_savime_supported_type(input_data_type):
if not isinstance(input_data_type, SavimeSupportedTypes):
try:
input_data_type = input_data_type.upper()
output_data_type = ... |
# -*- coding: utf-8 -*-
import requests
from bs4 import BeautifulSoup
import urllib
import re
import os
import pandas as pd
from datetime import datetime
import csv
from pytube import YouTube
PTT_URL = 'https://www.ptt.cc'
base64_table = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz-_'
script_path =... |
import json
import logging
import datetime
import hmac
import pytz
import hashlib
from typing import List, Any
from cryptoxlib.WebsocketMgr import Subscription, WebsocketMgr, WebsocketMessage, Websocket, CallbacksType, \
ClientWebsocketHandle, WebsocketOutboundMessage
from cryptoxlib.Pair import Pair
from cryptoxl... |
try:
import mastcasjobs
except ImportError:
print("mastcasjobs not available. Cannot use mastquery.")
# get the WSID and password if not already defined
import getpass
import os
import re
import numpy as np
from astropy import coordinates, units
from astropy.io import ascii
from astropy.table import Table
fr... |
#!/usr/bin/env python3
import argparse
import datetime
import glob
import inspect
import json
import os
import pandas
import subprocess
import sys
import codespeed_upload
def get_script_dir():
return os.path.dirname(inspect.getabsfile(get_script_dir))
SCRIPTDIR = get_script_dir()
DEFAULT_REPO = os.path.join(SCR... |
from utils import *
class MetaDataParser(object):
def __init__(self):
# sentiment files
train_sentiment_files = sorted(glob.glob('../../input/petfinder-adoption-prediction/train_sentiment/*.json'))
test_sentiment_files = sorted(glob.glob('../../input/petfinder-adoption-prediction/test_sent... |
import os
import numpy as np
import scipy.io as sio
from PIL import Image
from .generic import GenericDataset
from .generic import project_gt_poses_to_anchors
from .generic import compute_anchors_reference
from .generic import compute_window_reference
from ..utils import *
def load_mpii_mat_annotation(filename):
... |
import numpy as np
from tqdm import tqdm
import time
import pickle
import matplotlib.pyplot as plt
import pandas as pd
from matplotlib.animation import FuncAnimation
import os
def train_data_process(data_dict, verbose=False, reward=False):
game_list = data_dict.keys()
# need to set the output shape first
... |
"""
config.py
@author - <NAME> (xNifty)
@SnoringNinja - https://snoring.ninja
Handles all config based functions that are not used as bot commands
"""
# Imports for ConfigLoader
import os
import configparser
import errno
def get_config_filename(default_filename):
"""Return the filename; probably not needed at t... |
# -*- coding: utf-8 -*-
from __future__ import division
import os
import json
import functools
import numbers
import pandas as pd
from collections import defaultdict
from pcode.utils.op_paths import list_files
from pcode.utils.op_files import load_pickle
from pcode.utils.auxiliary import str2time
"""load data from p... |
#!/usr/bin/env python
# Copyright (c) 2016, Socially Intelligent Machines Lab
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright ... |
from ctypes import *
from .fmodobject import *
from .fmodobject import _dll
from .structures import TAG, VECTOR
from .globalvars import get_class
from .utils import prepare_str, ckresult, check_type
from .structobject import Structobject as so
from .enums import SOUND_TYPE, SOUND_FORMAT, OPENSTATE
from .flags i... |
import os
##############################_AWS_######################################
def Key():
while True:
os.system('tput setaf 4')
print("""
Enter 1 to create Key
Enter 2 to delete Key
Enter 3 to describe key pairs
Enter 4 to exit
... |
import unittest
import sys
import os
import os.path
from os.path import dirname, abspath, expanduser, exists, join
import shutil
import subprocess
TEST_DIR=abspath(expanduser(dirname(__file__)))
try:
import dataworkspaces
except ImportError:
sys.path.append(os.path.abspath(".."))
from dataworkspaces.utils.su... |
# Copyright 2019 Google LLC
#
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... |
from django.contrib.contenttypes.models import ContentType
from django.template import Variable, Library, Node, TemplateSyntaxError
from django.template.loader import render_to_string
try:
from django.core.urlresolvers import reverse
except ImportError:
from django.urls import reverse
from actstream.models im... |
import pygame
import sys
###A SIMPLE REVERSI GAME CREATED IN PYGAME ###
tile_size = 64 #size of individual grid piece
turn = 1 #if turn is odd, BLACK plays, else, WHITE plays, BLACK starts
no_move_turns = 0
#values for checking up down left right, and combinations in between
directions = [ ]
n = (0, -1 * tile_size)
... |
# -*-coding:utf-8-*-
import argparse
import logging
import yaml
import time
import torch
import torch.nn as nn
import torchvision.transforms as transforms
import torch.backends.cudnn as cudnn
from torch.utils.tensorboard import SummaryWriter
from easydict import EasyDict
from models import *
from update_noise import ... |
"""
Common utilities that are used throughout the application. Move anything that is used
more than once that isn't specific to any certain functionality here.
"""
import flask
from flask import request, has_request_context
import datetime
import dateutil.parser
import json
from jwt.algorithms import RSAAlgorithm ... |
from os.path import join, exists, dirname
import json
import pandas as pd
import numpy as np
from typing import List
# helper function that bins the doi column
def get_doi_bins_df(doi_df: pd.DataFrame, n_bins: int, with_labels=False) -> pd.DataFrame:
histogram, edges = np.histogram(doi_df["doi"], bins=n_bins, range... |
#!/usr/bin/env python
###############################################################################
##
## Copyright (C) 2011-2014 Tavendo GmbH
##
## 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 L... |
from .testcase import DatatableViewTestCase
from .test_app import models
from .. import utils
def get_structure(columns, opts):
return utils.get_datatable_structure('/', dict(opts, columns=columns), model=models.ExampleModel)
class UtilsTests(DatatableViewTestCase):
def test_get_first_orm_bit(self):
... |
"""
Copyright (c) 2018-2022 Intel 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 agreed to in wri... |
import h5py
import numpy as np
import numpy.ma as ma
import numpy.lib.recfunctions as rfn
import logging
ref_region_dtype = np.dtype([('start','i8'), ('stop','i8')])
def print_ref(grp):
'''
Print out all references in file (or group)
'''
l = list()
grp.visititems(lambda n,d: l.append((n,d))\
... |
# -*- coding: utf-8 -*-
# Minio Python Library for Amazon S3 Compatible Cloud Storage, (C) 2015 Minio, 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/licen... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 4 19:22:40 2020
@author: adria.bove
Llibreria per fer dibuixos de
"""
# importing libraries
import pickle
import pandas as pd
import matplotlib.pyplot as plt
import datetime as dt
from BBDD import BBDD
import numpy as np
from sklearn.metrics import ... |
import datetime
import functools
import os
import re
import urllib
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from flask import (Flask, flash, Markup, redirect, render_template, request,
Response, session, url_for)
from flask_mail import Mail, M... |
import asyncio
import csv
import json
import logging
import os
import re
import sqlite3
import sys
import tempfile
import time
from contextlib import closing
from io import BytesIO
from pathlib import Path
from typing import IO
from zipfile import ZipFile
import aiofiles
import aiohttp
import aiosqlite
import requests... |
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision.models import resnet
from all_attention import PAM_and_CAM
def init_weights(m):
if isinstance(m, nn.Conv2d) or isinstance(m, nn.Linear):
m.weight.data.normal_(0, 1e-3)
if m.bias is not None:
... |
# (c) 2019, NetApp, Inc
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
''' unit tests for Ansible module: na_ontap_quota_policy '''
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import json
import pytest
from ansible.module_utils... |
#
# 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
# ... |
"""Spatial methods."""
__all__ = [
"get_sindex", "interp_2d_to_3d",
"wkt_to_dataframe", "wkt_to_geodataframe", "wkt_to_geoseries",
"force_2d", "round_coords", "compare_crs", "get_crs",
"find_segnum_in_swn"
]
import geopandas
import numpy as np
import pandas as pd
import pyproj
from shapely import wkt
... |
#!/usr/bin/env python
#
# VM testing base class
#
# Copyright 2017 Red Hat Inc.
#
# Authors:
# <NAME> <<EMAIL>>
#
# This code is licensed under the GPL version 2 or later. See
# the COPYING file in the top-level directory.
#
from __future__ import print_function
import os
import sys
import logging
import time
import... |
from rllab.baselines.linear_feature_baseline import LinearFeatureBaseline
from sandbox.ours.envs.normalized_env import normalize
from sandbox.ours.envs.base import TfEnv
from sandbox.ours.policies.improved_gauss_mlp_policy import GaussianMLPPolicy
from rllab.misc.instrument import run_experiment_lite
from rllab.misc.in... |
# Author: bbrighttaer
# Project: IReLeaSE
# Date: 5/21/2020
# Time: 9:56 AM
# File: expert_rnn_reg.py
from __future__ import absolute_import, division, print_function, unicode_literals
import argparse
import os
import joblib
import random
import time
from datetime import datetime as dt
import numpy as np
from sklear... |
import json
from pyevt import abi, address, ecc, libevt
libevt.init_lib()
# Type and Structures
class BaseType:
def __init__(self, **kwargs):
self.kwargs = kwargs
def dict(self):
return self.kwargs
def dumps(self):
return json.dumps(self.kwargs)
class User:
def __init__(... |
"""Utility methods for gruut"""
import itertools
import logging
import os
import re
import ssl
import typing
import xml.etree.ElementTree as etree
from pathlib import Path
from urllib.request import urlopen
import networkx as nx
from gruut_ipa import IPA
from gruut.const import (
DATA_PROP,
LANG_ALIASES,
... |
import random
import cv2
import os
import unittest
from data import *
from utils.augmentations import SSDAugmentation, SSDWiderAugmentation
from layers.modules import MultiBoxLoss
from ssd import build_ssd
import os
import sys
import time
import torch
from torch.autograd import Variable
import torch.nn as nn
import tor... |
#!/usr/bin/env python3
# Copyright 2021 Xiaomi Corp. (authors: <NAME>)
#
# See ../../../../LICENSE for clarification regarding multiple 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... |
# Task is an element for each task routine
# TODO:
# 1. add readattr command
# 2. change range value in accordance with test result from @hipiphock
# 3. need to add BLE tasks
import random
import json
import logging
from DongleHandler.Constants import *
# There are two types of tasks:
# 1. Task that just sends commnad... |
import ast
import os
import sys
import gzip
import shutil
import tempfile
from pathlib import Path
from typing import Union, Tuple, Any, Optional, List, Sequence, Dict
import torch
from torch.utils.data._utils.collate import default_collate
import numpy as np
import nibabel as nib
import SimpleITK as sitk
from tqdm im... |
import asyncio
import discord
import json
import modules.bottiHelper
import modules.data.ids as ids
import os
import time
global audioSourceFile
musicQueue = []
async def _checkForVoiceClient(botti, message, string):
voiceClients = botti.voice_clients
if not voiceClients:
await modules.bottiHelper._se... |
# encoding=utf-8
import pdb
import torchvision.transforms.functional as F
from torch.utils.data import DataLoader
import os
from PIL import Image
import torch.utils.data.dataset as dataset
from torchvision import transforms
import torchvision.transforms as transforms
import random
import numpy as np
import cv2
from ... |
#
# 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
# distributed under... |
import numpy as np
import copy
from scipy.special import digamma, gammaln
from bnpy.util import NumericUtil
import LocalStepLogger
from LocalStepSingleDoc import calcLocalParams_SingleDoc
from LocalStepSingleDoc import calcLocalParams_SingleDoc_WithELBOTrace
def calcLocalParams(
Data, LP,
alphaEbeta... |
"""
Provides an API to define epidemiological models in terms of sympy symbolic expressions based on a matrix description.
"""
import warnings
import numpy as np
import scipy.sparse as sprs
import sympy
from epipack.process_conversions import (
processes_to_rates,
transition_processes_to_ra... |
import os
import warnings
import random
import numpy as np
import torch
from torch.utils.data import Dataset
import torchvision.transforms
import torchvision.transforms.functional as TF
from sklearn.decomposition import PCA
from PIL import Image
import paths
from transformator import Transformator
with warnings.catch... |
# Copyright 2011 Terena. 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 must retain the above copyright notice,
# this list of conditions and the fol... |
# pylint: disable=C0103
"""Theme support"""
import os
import glob
import copy
import json
import io
import re
import logging
try:
import requests
from requests.exceptions import RequestException
except ImportError:
pass
import bumblebee.error
def theme_path():
"""Return the path of the theme direct... |
"""
Copyright 2019 <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, sublicense... |
# Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
#
# 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 us... |
# -*- coding: utf-8 -*-
########################################################################################################################
#
# HyperTransferLearningModel
#
########################################################################################################################
import tensorflow as... |
from typing import List
from mypy.join import is_similar_callables, combine_similar_callables
from mypy.types import (
Type, AnyType, TypeVisitor, UnboundType, Void, ErrorType, NoneTyp, TypeVarType,
Instance, CallableType, TupleType, ErasedType, TypeList, UnionType, PartialType,
DeletedType, UninhabitedTyp... |
import json
from django.contrib.auth import authenticate, login, logout
from django.core import paginator
from django.db import IntegrityError
from django.db.models import constraints
from django.db.models.fields import DateTimeField, IntegerField, TimeField
from django.db.utils import DatabaseError, Error, Programming... |
from django.conf import settings
from django.db import models
from django.urls import reverse
class ProjectManager(models.Manager):
def get_by_natural_key(self, name):
return self.get(name=name)
class Project(models.Model):
""" Represents a project in a python project hierarchy """
name = models... |
import numpy as np
from matplotlib import pyplot as plt
import cv2 as cv
import math
def __ninePartitions(image):
linhas = len(image)
colunas = len(image[0])
xPart = np.linspace(0, linhas, num=4, dtype=int)
yPart = np.linspace(0, colunas, num=4, dtype=int)
return xPart, yPart
def borderDetection... |
from __future__ import division
import datetime
from ajax_select.fields import (AutoCompleteSelectField,
AutoCompleteSelectMultipleField)
from crispy_forms.bootstrap import FormActions
from crispy_forms.helper import FormHelper
from crispy_forms.layout import HTML, Field, Layout, Submit... |
# -*- coding: utf-8 -*-
#
# Copyright © 2014 <NAME> <<EMAIL>>
#
from __future__ import absolute_import
import logging
import math
from pyramid.compat import NativeIO, text_
from pyramid.request import Request
from pyramid import testing
import pytest
@pytest.fixture
def current_request(request):
r = Request.bla... |
#!/usr/bin/env python3
import CustomImage
import HandyTools as HT
import numpy
from PIL import Image, ImageTk
import cv2
import os
import tkinter as tk
import string
from ImageMeta import ImageDetectionMetadata
import logging
ALL_CHARS = string.ascii_letters + string.digits
logging.basicConfig(format='[%(asctime)s] <%... |
# Copyright 2019 The Cirq Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... |
#!/usr/bin/env python3
#
# Copyright 2021 Graviti. Licensed under MIT License.
#
import pytest
from tensorbay.client.lazy import InitPage, LazyPage, PagingList
TOTAL_COUNT = 1000
MIDDLE = TOTAL_COUNT // 2
LIMIT = 128
LIST = list(range(TOTAL_COUNT))
VALID_INDICES = (TOTAL_COUNT - 1, MIDDLE, -1, 0)
INDICES = VALID_I... |
from typing import Tuple
import itertools
import re
import numpy as np
import GPy
from emukit.model_wrappers.gpy_model_wrappers import GPyModelWrapper
from ..parameters.cfg_parameter import CFGParameter
from ..parameters.string_parameter import StringParameter
from ..parameters.protein_base_parameter import ProteinBas... |
import urllib
import os
import time
import requests
import uuid
import json
import zipfile
import base64
from azure.storage.table import TableService, Entity, TablePermissions
STORAGE_ACCOUNT_NAME = os.environ['STORAGE_ACCOUNT_NAME']
STORAGE_ACCOUNT_KEY = os.environ['STORAGE_ACCOUNT_KEY']
DATABRICKS_API_BASE_URL = os... |
import os
import ubiops as api
import configparser
from ubiops_cli.exceptions import UnAuthorizedException
from ubiops_cli.ignore.ignore import walk
from ubiops_cli.version import VERSION
from datetime import datetime
import yaml
import zipfile
import click
import json
class Config:
REQUIRED_SECTIONS = ['auth', ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow as tf
import os
import glob
import random
import collections
import math
Examples = collections.namedtuple("Examples", "paths, inputs, targets, count, steps_per_epoch")
def preprocess(image... |
#!/usr/bin/env python3
# Author: <NAME> <<EMAIL>>
"""Parses all articles published in our journals of interest to write
field-wise lists of articles with multiaffiliations for specific countries.
"""
from configparser import ConfigParser
from glob import glob
from math import ceil
from os.path import basename, split... |
# Based on https://github.com/vilcans/screenplain/blob/master/screenplain/export/pdf.py
# Original Work by <NAME>
# Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license.php
import sys
import os
try:
import reportlab
except ImportError:
sys.stderr.write('ERROR: ReportLab is required... |
"""Functions to generate the plots for the report.
Only generate_plots is needed to create all the plots.
"""
from enum import Enum
import textwrap
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from geclass.util.questions import questions, q_marks
from geclass.util.statistics import (
... |
"""Serializers."""
import abc
import json
from datetime import datetime, timedelta, timezone
from typing import Dict, TypedDict, Any
import urllib.parse
import attr
import geoalchemy2 as ga
from stac_pydantic.shared import DATETIME_RFC339
from stac_fastapi.sqlalchemy.models import database
from stac_fastapi.sqlalchem... |
#!/usr/bin/env python
# Copyright 2014-2019 The PySCF Developers. 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
#
# U... |
# --------------------------------------------------------------------------
# Source file provided under Apache License, Version 2.0, January 2004,
# http://www.apache.org/licenses/
# (c) Copyright IBM Corp. 2017
# --------------------------------------------------------------------------
try:
from sklearn... |
# encoding: utf8
from __future__ import print_function, unicode_literals
import locale
import re
from io import BytesIO
from unicodedata import combining, normalize
from aspen import Response
from aspen.simplates.pagination import parse_specline, split_and_escape
from aspen.utils import utcnow
from babel.core import ... |
import argparse
import os
import sys
import time
import numpy as np
import torch
from torch.autograd import Variable
from torch.optim import Adam
from torch.utils.data import DataLoader
from torchvision import datasets
from torchvision import transforms
import utils
from transformer_net import TransformerNet
from vgg... |
import json
import dash
from dash.dependencies import Input, Output, State
import dash_core_components as dcc
import dash_html_components as html
import dash_cytoscape as cyto
from demos import dash_reusable_components as drc
app = dash.Dash(__name__)
server = app.server
# ###################### DATA PREPROCESSING... |
# -*- coding: utf-8 -*-
# :Project: metapensiero.pj -- simpler transformations
# :Created: ven 26 feb 2016 15:17:49 CET
# :Authors: <NAME> <<EMAIL>>,
# <NAME> <<EMAIL>>,
# <NAME> <<EMAIL>>
# :License: GNU General Public License version 3 or later
#
import ast
from functools import reduce
fro... |
"""Constants that are used by ``geopyspark.geotrellis`` classes, methods, and functions."""
from enum import Enum, IntEnum
__all__ = ['NO_DATA_INT', 'LayerType', 'IndexingMethod', 'ResampleMethod', 'TimeUnit',
'Operation', 'Neighborhood', 'ClassificationStrategy', 'CellType', 'ColorRamp',
'DEFAU... |
# -*- coding: utf-8 -*-
import logging
from contextlib import contextmanager
import numpy
import h5py
from ..io.utils import temporary_filename
from ..io.h5fs import prepare_h5data
from ..math.utils import lcm
logger = logging.getLogger(__name__)
@contextmanager
def open_uris(uris):
sources = []
files = []... |
import random
import pygame
from pygame.math import Vector2
import settings
from sprite.items import Carrot, Jetpack
class LivingBeing(pygame.sprite.Sprite):
"""Describes common behavior and attributes between living beings.
Attributes:
image_names (list): List of image names that
... |
from __future__ import absolute_import
import sys, os
BASE_DIR = os.path.dirname(os.path.dirname(__file__))
sys.path.append(BASE_DIR)
from PMML43Ext import *
import numpy as np
import pandas as pd
from datetime import datetime
from statsmodels.tsa import holtwinters as hw
class ExponentialSmoothingToPMML:
"""
... |
import inspect
import sys
from collections import OrderedDict, defaultdict
from collections.abc import Callable
from collections.abc import Mapping as MappingABC
from collections.abc import MutableMapping as MutableMappingABC
from enum import Enum
from inspect import Parameter, Signature, signature
from itertools impor... |
import re
from collections import OrderedDict
class JATSContribException(Exception):
pass
class JATSContribs(object):
def __init__(self, soup=None):
self.regex_spcom = re.compile(r'\s+,')
self.regex_multisp = re.compile(r'\s+')
self.regex_email = re.compile(r'^[a-zA-Z0-9+_.-]+@[a-zA... |
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