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import os
import logging
import numpy as np
import pandas as pd
from astropy import units as u
from astropy.convolution import convolve_fft, Gaussian2DKernel, convolve
from astropy.coordinates import SkyCoord, Angle
from astropy.io import fits
from astropy.table import Table
from regions import CircleSkyRegion
import d... |
import os
import copy
import skimage.io as skio
from skimage import img_as_ubyte, exposure
import warnings
import geopandas as gpd
from rasterio import features
import rasterio
from shapely.ops import unary_union
from shapely.geometry import shape, box
import us
import xarray
import rioxarray
from numpy import uint8
fr... |
# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
from django.shortcuts import render, HttpResponseRedirect
from django.http import HttpResponse, JsonResponse
from django.shortcuts import get_object_or_404, render
from django.views.decorators.csrf import csrf_protect
import numpy as np
np.set_printoptions(suppress=True)
import pandas as pd
from sklearn.cluster import... |
# The MIT License (MIT)
# Copyright (c) 2016, 2017 by the ESA CCI Toolbox development team and contributors
#
# 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 wi... |
# __ __ __
# .-----.-----.----|__| | .---.-.
# | _ | _ | _| | | | _ |
# |___ |_____|__| |__|__|__|___._|
# |_____|
#
"""
NOTE: The contents of this file have been inlined from the gorilla package's source code
https://github.com/christophercrouzet/gorilla/blob/v0.3.0/gorilla.p... |
import random, os
import pygame
import thorpy
import RpgMap.logic.constants as const
def sgn(x):
if x < 0:
return -1
elif x > 0:
return 1
class MapObject:
current_id = 1
@staticmethod
def get_saved_attributes():
return ["name", "quantity", "fns", "factor", "new_type",... |
# -*- coding: utf-8 -*-
"""Create direct, total and mediation Graphviz graph from dot_str using pydot."""
from typing import Dict, Sequence, Optional
from itertools import chain
import numpy as np
from numpy import allclose, isnan
from causing import utils
from causing.estimate import tvals
from causing.model import M... |
# -*- coding: utf-8 -*-
'''
ELAN module for manipulating ELAN transcript files (\*.eaf, \*.pfsx)
'''
# Copyright (c) 2020, <NAME> <<EMAIL>>
#
# 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... |
import re
import six
import phonenumbers
from postal.near_dupe import near_dupe_hashes
from postal.dedupe import place_languages, duplicate_status, is_name_duplicate, is_street_duplicate, is_house_number_duplicate, is_po_box_duplicate, is_unit_duplicate, is_floor_duplicate, is_postal_code_duplicate, is_toponym_duplic... |
#!/usr/bin/env python3
import argparse
import datetime
import multiprocessing
import os
import sys
import about
import check
import shared
import tax
def parse_arguments():
parser = argparse.ArgumentParser(prog='CAT contigs',
description='Run Contig Annotation Tool '
... |
import torch
from torch import nn as nn
from torch.nn import functional as F
import numpy as np
from basicsr.models.archs.arch_util import (ResidualBlockNoBN, make_layer, RCAB, ResidualGroup, default_conv, RCABWithInputConv)
from einops import rearrange, repeat
from einops.layers.torch import Rearrange
from positional... |
from urllib.request import urlretrieve
import os
import pandas as pd
import numpy as np
from datetime import datetime
DATA_DIR = os.path.abspath(os.path.join(os.path.dirname(__file__), '../../../data'))
UCI_DATASETS = []
def _UCI(C):
UCI_DATASETS.append(C)
return C
class Dataset:
ndim_x = None
ndim... |
from app import db
from app import ma
from datetime import datetime
from marshmallow_sqlalchemy import field_for
from marshmallow import fields
from app.basic_master.model import Department , DepartmentSchema , LocationSchema , Location ,Uom , UomSchema , ProductCategory , ProductCategorySchema , Leader , LeaderSchema... |
import json
import os
from collections import OrderedDict
from itertools import count
from multiprocessing import cpu_count
from tempfile import TemporaryDirectory as InTemporaryDirectory
from types import MethodType
from joblib import Parallel, delayed
from checkpoint import __version__ as version
from checkpoint.cr... |
##########
# Part of the code modified from:
# https://github.com/asappresearch/emergent-comms-negotiation
##########
import torch
from torch import nn, autograd
from torch.autograd import Variable
import torch.nn.functional as F
import numpy as np
eps = 1e-6
class NumberSequenceEncoder(nn.Module):
def __init__... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.distributions.normal import Normal
from torch.utils.data import DataLoader
import numpy as np
from datetime import datetime
import time
from pathlib import Path
import argparse
import math
from collections import d... |
#!/usr/bin/env python
import argparse
from cyvcf2 import VCF, Writer
import numpy as np
import re
import math
import subprocess
version = '0.3.7.1'
def __main__():
parser = argparse.ArgumentParser(description='Convert a VCF file with genomic variants to a file with tab-separated values (TSV). One entry (TSV line... |
#Author: <NAME>
#email : <EMAIL>
#
# The originals of these scripts can be found from the StellarGraph website, here we modified them for our needs
#------------------------------------------------------------------------------------------------------
#
#These code are writen for a research project, published in OIR. I... |
"""Unitary tests for eToken contract"""
from functools import partial
from collections import namedtuple
import pytest
from ethproto.contracts import RevertError, Contract, IntField, ERC20Token, ContractProxyField
from ethproto.wrappers import get_provider
from prototype import ensuro
from ethproto.wadray import _W, _... |
import random
import configparser
from Loading.Objects import env_l1_set, spriteDictionary, getUid, env_l2_list
from Classes.Middle.Particle import Particle
from Classes.Base.Vector import Vector
config = configparser.ConfigParser()
config.read_file(open('Classes/config'))
def getRandomString(string, range):
num ... |
import boto3
import json
import mimetypes
from zipfile import ZipFile
from io import BytesIO
from dcicutils.ff_utils import (
get_metadata,
)
from tibanna.base import (
SerializableObject
)
from collections import namedtuple
from .exceptions import (
FdnConnectionException
)
class QCArgument(SerializableO... |
#! /usr/bin/python
# -*- coding: utf-8 -*-
import inspect
from abc import abstractmethod
import tensorflow as tf
import tensorlayer as tl
from tensorlayer import logging
from tensorlayer.decorators import (deprecated_alias, private_method, protected_method)
from tensorlayer.files import utils
from tensorlayer.layers... |
# -*- coding: utf-8 -*-
"""Mesh based data transformation and mapping, interpolation, extrapolation."""
import numpy as np
import pygimli as pg
def nodeDataToCellData(mesh, data):
"""Convert node data to cell data.
Convert node data to cell data via interpolation to cell centers.
Parameters
-------... |
"""
Create the raw data for the reprot
"""
from datetime import date
import numpy as np
import pandas as pd
from collections import OrderedDict
from datetime import datetime
from vpalette import get_colors
from . import constants as c
from .functions import filter_by_date
from .functions import resample
from .f... |
import csv
import json
import pysam
import numpy as np
import pandas as pd
import random
from .bamutils import fetch_upto_next_ID
from . import gtfutils
DEFAULT_ANNOT=['?','?','?','?',int(0)]
def model(file_ambiv_gps, file_expression_model):
#load ambivalence gps
with open(file_ambiv_gps) as f:
jso... |
#!/usr/bin/env python3
from cum import config, exceptions, output, version
from functools import wraps
import click
import concurrent.futures
class CumGroup(click.Group):
def command(self, check_db=True, *args, **kwargs):
def decorator(f):
@wraps(f)
def wrapper(*args, **kwargs):
... |
import codecs
import copy
import hashlib
import os
import pickle
import re
import logging
from lxml import etree
from regparser import api_writer, content
from regparser.federalregister import fetch_notice_json, fetch_notices
from regparser.history.notices import (
applicable as applicable_notices, group_by_eff_d... |
# coding=utf-8
###############################################################################
#
# The MIT License (MIT)
#
# Copyright (c) Crossbar.io Technologies GmbH
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"... |
#! /usr/bin/env python3
# https://eco.mtk.nao.ac.jp/cgi-bin/koyomi/cande/horizontal.cgi
import os
import sys
from datetime import datetime, timedelta, timezone
import json
import argparse
import re
from pathlib import Path
import ephem
import numpy as np
import matplotlib.pyplot as plt
from tabulate import tabulate
d... |
#!/usr/bin/env python
import argparse
import os
import subprocess
import sys
import pandas as pd
import logging
import logging.handlers
import csv, json
import shutil
import time
import errno
import pathlib
import warnings
import glob
import base64
import gzip
import datetime
#******************************************... |
import json
import logging
import types
from . import collection as COL
from . import consts as CONST
from . import graph as GR
from .document import Document
from .graph import Graph
from .query import AQLQuery
from .theExceptions import CreationError, UpdateError, AQLQueryError, TransactionError, AQLFetchError
__a... |
import sys
import os
import os.path
import time
import numpy as np
from math import radians, pi, cos, sin, asin, sqrt, atan2, tan, atan, exp, log
from scipy.cluster.hierarchy import linkage, fcluster
import csv
from statistics import mean
'''
------------------------------------------
This file contains Python (v2.7) ... |
"""
Contains the protocols, commands, and client factory needed for the Server
and Portal to communicate with each other, letting Portal work as a proxy.
Both sides use this same protocol.
The separation works like this:
Portal - (AMP client) handles protocols. It contains a list of connected
sessions in a d... |
import enum
import time
import types
import typing
import h2.config
import h2.connection
import h2.events
import h2.exceptions
import h2.settings
from .._exceptions import (
ConnectionNotAvailable,
LocalProtocolError,
RemoteProtocolError,
)
from .._models import Origin, Request, Response
from .._synchroni... |
#This source code is licensed under the MIT license found in the
#MIT-LICENSE file in the root directory of this source tree.
import sys
import os
import csv
import math
import numpy as np
import matplotlib
from matplotlib import colors
import matplotlib.pyplot as plt
import random
#count the slices of a processed cif ... |
import torch
import torch.utils
from torch.utils.data import Dataset, IterableDataset, DataLoader
from dataclasses import dataclass
import glob
import os.path
import pig.preprocess
import moviepy.editor as m
import pytorch_lightning as pl
import logging
import pig.util
import json
import pickle
from typing import Un... |
# encoding: utf-8
import logging
import random
from datetime import date
import voting
import waffle
from actstream import Follow, Action, action
from django.conf import settings
from django.contrib.comments.models import Comment
from django.contrib.contenttypes.models import ContentType
from django.core.cache import ... |
"""Generate and submit a job using a set of input parameters."""
import json, glob, os, shutil
import numpy as np
import subprocess
import sys
from . import geometry, tabu, design
TURBIGEN_ROOT = os.path.join("/".join(__file__.split("/")[:-1]), "..")
TS_SLURM_TEMPLATE = os.path.join(TURBIGEN_ROOT, "submit.sh")
TABU_S... |
import datetime
import itertools
import multiprocessing
import pickle
import random
from collections import defaultdict
from dataclasses import dataclass
from enum import Enum
from multiprocessing.context import Process
from pathlib import Path
from typing import List, Dict, Tuple, Callable
import numpy as np
from ex... |
# Copyright 2020 <NAME>
#
# 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, softw... |
# coding=utf-8
# Copyright 2022 The Google Research 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 applicab... |
import sys
import xlwt
from datetime import datetime
import numpy as np
from PyQt5.QtWidgets import QApplication, QMainWindow, QMenu, QVBoxLayout, QSizePolicy, QMessageBox, QWidget, \
QPushButton, QFileDialog, QTextEdit, QAction, QGridLayout
from matplotlib.figure import Figure
import matplotlib
matplotlib.... |
import os
import json
import numpy as np
from numpy import inf
from scipy import signal
from scipy.io import loadmat, savemat
import torch
from torch.utils.data import Dataset
import logging
# import neurokit2 as nk
from iterstrat.ml_stratifiers import MultilabelStratifiedShuffleSplit
import matplotlib.pyplot as plt
#... |
# coding=utf-8
"""
Core classes used across modules.
"""
from __future__ import absolute_import, division
import logging
import math
from collections import namedtuple, OrderedDict
import numpy
import os
from affine import Affine
from osgeo import osr
from pathlib import Path
from rasterio.coords import BoundingBox
... |
import ast
import json
import os
import pathlib
import re
import shutil
import textwrap
from contextlib import contextmanager
from importlib import import_module
from os import environ as env
from os.path import join
from tempfile import TemporaryDirectory
from typing import Any, Dict, Iterator, List, Optional, Set, Tu... |
"""
Markov switching autoregression models
Author: <NAME>
License: BSD-3
"""
import numpy as np
import statsmodels.base.wrapper as wrap
from statsmodels.tsa.tsatools import lagmat
from statsmodels.tsa.regime_switching import (
markov_switching, markov_regression)
from statsmodels.tsa.statespace.tools import (
... |
# -*- coding: utf-8 -*-
"""
为了适应中国雷达在不同仰角的探测距离不同以及前几层仰角 dop和ref分开扫描的问题
提出PRD Object，以方便后续的算法及绘图
"""
import numpy as np
import xarray as xr
import pyproj
from ..configure.default_config import DEFAULT_METADATA, CINRAD_field_mapping
from ..core.transforms import cartesian_to_geographic_aeqd,\
antenna_vectors_to_cart... |
#!/usr/bin/env python
# Copyright 2016 Check Point Software Technologies 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
#
# ... |
import torch
import torch.nn.functional as F
import argparse
import cv2
import numpy as np
from glob import glob
import matplotlib.pyplot as plt
from collections import OrderedDict
import os
from copy import copy
# embedding vector
Z_dim = 128
# L1 reconstruction loss balance
reconstruction_loss_lambda = 1.
# to avo... |
from dataclasses import dataclass
from typing import Hashable, Optional, Sequence, Union
import dask.array as da
import numpy as np
from dask.array import Array, stats
from xarray import Dataset, concat
from .. import variables
from ..typing import ArrayLike
from ..utils import conditional_merge_datasets, create_data... |
#!/usr/bin/env python
"""
Copyright (c) 2014 <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, publi... |
# ======================================================================================================================
# boostIV MC: Multivariate non-linear design
# ======================================================================================================================
import pandas as pd
import num... |
#!/usr/bin/env python
from generator.actions import Actions
import random
import string
from struct import pack
class DateTime(): #borrowed from divelogger
def __init__ (self, year=0, month=0, day=0, hour=0, min=0, sec=0):
self.year = year
self.month = month
self.day = day
self.ho... |
# @lint-ignore-every LICENSELINT
# Adapted from https://github.com/lioryariv/idr
# Copyright (c) 2020 <NAME>
from typing import Any, Callable, Tuple
import torch
import torch.nn as nn
from pytorch3d.implicitron.tools.config import Configurable
class RayTracing(Configurable, nn.Module):
"""
Finds the interse... |
import numpy as np
from netCDF4 import Dataset
from datetime import datetime
from datetime import timedelta
import os
import sys
import matplotlib.pyplot as plt
from matplotlib import gridspec
import matplotlib.colors as mcolors
import matplotlib.patches as patches
from tools_LT import read_evar_only
quick = True
q... |
# -*- coding: utf-8 -*-
"""Beautifultools module.
Beautifultools is a module containing all the functions related to a
scraping project carried out within Siemens Italy Digital Industries.
The module contains several functions aiming at implementing the
pipeline pinned down by Kelly et al. paper "Predicting Returns... |
"""
pgxnclient -- commands package
This module contains base classes and functions to implement and deal with
commands. Concrete commands implementations are available in other package
modules.
"""
# Copyright (C) 2011-2020 <NAME>
# This file is part of the PGXN client
import os
import sys
import shlex
import loggi... |
"""
torch.distributed.deprecated provides an MPI-like interface for exchanging tensor
data across multi-machine networks. It supports a few different backends
and initialization methods.
"""
import torch
import atexit
import warnings
from torch._utils import _flatten_dense_tensors, _unflatten_dense_tensors
class dist... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Functions to calculate frequency spectra."""
from __future__ import (absolute_import, division,
print_function)
from .base import hen_root, common_name, _empty, _assign_value_if_none
from .io import sort_files, get_file_type, lo... |
"""
..module:: process_new_RFI_files.py
:synopsis: From the beginning of the RFI processing to the end, this script seeks out the unprocessed sdfits RFI files, determines which ones are new or old,
gleans the necessary information to process this file in GBTIDL, processes it in GBTIDL, and uploads that informa... |
# -*- coding: utf-8 -*-
'''This module contains classes for different types of network layers.'''
from __future__ import division
import numpy as np
import theano
import theano.sparse as SS
import theano.tensor as TT
from .. import activations
from .. import util
__all__ = [
'Concatenate',
'Input',
'Fl... |
import sys
sys.path.append('../')
import os
import numpy as np
from keras.callbacks import ModelCheckpoint, TensorBoard, EarlyStopping, CSVLogger
from dataset_specific.kits import DataGenerator as train_gen
from dataset_specific.kits import weighted_model
from utility.parallel_gpu_checkpoint import ModelCheckpointP... |
"""Visualization helpers."""
from contextlib import contextmanager
import copy
import os.path as op
import numpy as np
from scipy import linalg
from mne import read_proj, read_events, pick_types
from mne.utils import verbose
from mne.viz.utils import tight_layout, plt_show
from ._sss import compute_good_coils
from ... |
# Licensed under Apache License Version 2.0 - see LICENSE
"""
API: Additional recipes
-----------------------
"""
# Built-ins
from collections import OrderedDict
from itertools import chain, islice, repeat, product, combinations
from operator import itemgetter
# This module
from iteration_utilities import nth, uniqu... |
import numpy as np
import os
import multiprocessing as mp
import util
import os
import re
import tqdm
import time
from functools import partial
import tensorflow as tf
from tensorflow import flags
FLAGS = flags.FLAGS
if __name__ == "__main__":
flags.DEFINE_integer("sample_rate",
16000, "The rate at which the so... |
from __future__ import print_function, absolute_import, division
import re
import sys
import os
import traceback
import unittest
import threading
import subprocess
from time import sleep
from . import six
from gevent._config import validate_bool
from gevent._compat import perf_counter
from gevent.monkey import get_ori... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat June 6, 2020
@author: <NAME>
"""
import bpy
from math import radians
class Polyhedron:
"""
Designed to be subclassed, not used directly
"""
def scale(self, scalefactor):
if hasattr(self, "volume"):
self.volume ... |
"""
This script is dedicated to testing the window matrix for cutsky mocks, in the flat sky approximation.
First generate Gaussian mocks::
(mpiexec -np 4) python mock_window_fft_global_los.py --todo mock --irun 0 20 # start - end of mock ids
Then compute window matrix::
# you can split in as many parts as yo... |
# Copyright 2020 The PyMC 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... |
# SPDX-License-Identifier: Apache-2.0
"""
tf2onnx.tfjs_utils - utilities for parsing tfjs files into onnx graphs
Main functions of interest are graphs_from_tfjs and read_tfjs_graph
"""
import json
import os
import base64
import gzip
import struct
import logging
from onnx import numpy_helper, helper
import numpy as... |
import matplotlib.pyplot as plt
from tkinter import *
import os
import random
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
def read():
filename=e[0].get()
f=open(filename,'r')
data=f.readlines()
random.shuffle(data)
data=[list(map(float,line.split())) for line in data]
dimens... |
from __future__ import print_function, division
import os.path as osp
import math
import warnings
import sys
import os
import csv
import random
import mmcv
import numpy as np
from mmcv.parallel import DataContainer as DC
import torch
import torch.nn as nn
from torch.utils.data import Dataset
from torchvis... |
# IMPORTS
try:
import numpy as np
except:
raise Exception("numpy is not installed.")
try:
import pandas as pd
except:
raise Exception("pandas is not installed.")
try:
import seaborn as sns
except:
raise Exception("seaborn is not installed.")
... |
# -*- coding: utf8 -*-
"""
Copyright 2014-2016 <NAME>
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 applicab... |
# -------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# ----------------------------------------------------------------------... |
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
"""
(c) 2018 Adobe. All rights reserved.
This file is licensed to you 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 t... |
from itertools import combinations
import itertools
from random import *
import random
import pdb
from lifelines.utils import concordance_index
from sklearn import preprocessing
import functools
import random
import time
import pandas as pd
import torch.multiprocessing as mp
import torch.distributed as dist
from torch... |
import tensorflow as tf
import numpy as np
from PIL import Image
from core.Util import calculate_ious, calculate_ioas
from datasets import DataKeys
from datasets.util.BoundingBox import get_bbox_from_segmentation_mask_np
from functools import partial
from skimage.transform import integral_image
# TODO: clean this up... |
import pygame
import random
from settings import *
pygame.init()
pygame.display.set_caption('Greedy Crab')
class Main:
def __init__(self):
self.crab = Crab()
self.board = Board()
self.menus = Menus()
self.manager = Manager()
self.jellyfish_1 = Enemy(1)
... |
from hashlib import sha256
from hmac import new as hmac
from random import randint
from re import fullmatch
from socket import socket
from struct import pack as encode
from subprocess import PIPE, STDOUT, Popen
from goodix import FLAGS_TRANSPORT_LAYER_SECURITY_DATA, Device
from protocol import USBProtocol
from tool im... |
# -*- coding: utf-8 -*-
'''
osm_address_training_data.py
----------------------------
This script generates several training sets from OpenStreetMap addresses,
streets, venues and toponyms.
Note: the combined size of all the files created by this script exceeds 100GB
so if training these models, it is wise to use a s... |
# -*- coding: utf-8 -*-
from six import iterkeys
import os
import time
from threading import Thread, RLock, Event, current_thread
import logging
import traceback
from abc import ABCMeta, abstractmethod
import paho.mqtt.client as mqtt # pip install paho-mqtt
import ssl
import uuid
from utils import path_helpers
f... |
"""Provides minimum weight arborescences from digraph."""
from pathlib import Path
from random import sample
from typing import (
Any,
Dict,
FrozenSet,
Iterable,
List,
Optional,
Set,
Tuple,
Union,
)
class Node(str):
"""Node representation.
Attributes:
value: str va... |
# Copyright (c) 2015 VMware, 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 b... |
import PIL.Image
import os
from roomEditor import RoomEditor, Object, ObjectHorizontal, ObjectVertical, ObjectWarp
class RenderedMap:
WALL_UP = 0x01
WALL_DOWN = 0x02
WALL_LEFT = 0x04
WALL_RIGHT = 0x08
def __init__(self, floor_object):
self.objects = {}
for y in rang... |
from django.http import StreamingHttpResponse, HttpResponse, HttpResponseForbidden
from django.views.generic.base import View
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth.models import User
from django.contrib.auth import authenticate, login
import davvy
from lxml import etree
from djan... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Tests for :mod:`orion.algo.evolution_es`."""
import copy
import hashlib
import numpy as np
import pytest
from orion.algo.evolution_es import BracketEVES, EvolutionES, compute_budgets
from orion.algo.space import Fidelity, Real, Space
from orion.testing.algo import Bas... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2020 <NAME> <<EMAIL>>
#
# Distributed under terms of the GNU-License license.
"""
"""
import numpy as np
import uqra
import os
import itertools
from tqdm import tqdm
import scipy.stats as stats
import math
def test_OptD():
"""
Te... |
import argparse
import asyncio
import json
import logging
import math
import os
import time
import wave
import cv2
import numpy
from aiohttp import web
from aiortc import RTCPeerConnection, RTCSessionDescription
from aiortc.mediastreams import (AudioFrame, AudioStreamTrack, VideoFrame,
... |
from functools import partial
from rcon.workers import temp_welcome_standalone, temporary_welcome, temporary_welcome_in
from typing import Counter
from rcon.settings import SERVER_INFO
import time
from datetime import datetime, timedelta
import logging
from threading import Thread
import os
import redis
import re
from ... |
from __future__ import print_function
import numpy as np
import cv2
import matplotlib.pyplot as plt
# #cv2.namedWindow('image', cv2.WINDOW_NORMAL)
#
# #Load the Image
# imgo = cv2.imread('/home/keyong/Downloads/IMAG2049.jpg')
#
# height, width = imgo.shape[:2]
#
# #Create a mask holder
# mask = np.zeros(imgo.shape[:2],... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
dshelper is a GUI for visualization of pandas dataframes.
In addition, it provides some functionalities in helping with some exploratory
analysis and examination of raw data
Copyright (c) 2018 - 2019, Minchang (<NAME>.
License: MIT (see LICENSE for details)
"""
impo... |
#!/usr/bin/env python
"""
Script to launch spot instances in Amazon's EC2 as specified by a json launch
specification file.
Default behavior is to only submit a launch request to AWS and return immediately.
See --wait and --fullwait for other levels of spot request fulfillment confirmation
from AWS. Use -h to see oth... |
import keras.backend as K
from keras.engine.topology import InputSpec
from keras.engine.topology import Layer
from keras.layers.merge import _Merge
from keras import activations
import tensorflow as tf
import numpy as np
#----------------------------------------------------------------------------
# Resize ... |
# author jmategk0
# Goals:
# 1. Produce an intermediate level python library with more features than the built-in stats module in
# python 3.4+ but with a simplified interface and syntax compared with more robust libraries like pandas.
# 2. The code will by compatible with python 2.7 and python 3.5
# 3. Library has no ... |
"""Module for analyzing images, either film or EPID, for flatness and symmetry."""
import io
import os.path as osp
from typing import Tuple, Union
import matplotlib.pyplot as plt
import numpy as np
from pylinac.core.utilities import open_path
from .core.exceptions import NotAnalyzed
from .core.io import retrieve_demo... |
from django.db import models
from django.contrib.auth.models import User
import random
import string
import plistlib
from xml.parsers.expat import ExpatError
import base64
import bz2
from datetime import datetime
from watson import search as watson
from dateutil.parser import *
def GenerateKey():
key = ''.join(ran... |
"""Convert output of the RetroPath2.0 workflow.
Copyright (C) 2016-2017 <NAME>, JL Faulon's research group, INRA
Use of this source code is governed by the MIT license that can be found in the
LICENSE.txt file.
"""
from __future__ import annotations
import sys
import csv
import json
import urllib
import logging
i... |
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