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"""Plot scalar and vector fields."""
from itertools import chain
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.patches as mpat
from mpl_toolkits.axes_grid1 import make_axes_locatable
from . import conf, phyvars, _helpers
from .error import NotAvailableError
from .stagy... |
#-*-coding:utf-8-*-
'''
DpCas-Light
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# Copyright 2022 Mithril Security. 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 applicable la... |
# coding: utf-8
# Copyright (c) 2016, 2022, Oracle and/or its affiliates. All rights reserved.
# This software is dual-licensed to you under the Universal Permissive License (UPL) 1.0 as shown at https://oss.oracle.com/licenses/upl or Apache License 2.0 as shown at http://www.apache.org/licenses/LICENSE-2.0. You may c... |
# -*- coding: utf-8 -*-
# Copyright 2020 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... |
"""
DB Benchmarking Application
===========================
Main.py
This file houses the core of the application, and is where all of the
read/write commands are issued from, timed, and all data is analyzed. Results
from the trials are printed to the console by default, and are also printed to
a markdown file to kee... |
#Dash components
import dash
import dash_html_components as html
import dash_core_components as dcc
import dash_bootstrap_components as dbc
import dash_table
from dash.dependencies import Input, Output
#Graphing components
import altair as alt
import pandas as pd
alt.data_transformers.disable_max_rows() #Disable max r... |
import numpy as np
import scipy
from filters import SamplingFilter,s_exp
def lpw(f=0,d=.5):
p = 0
while 1:
e1 = 1-p
e2 = (d-p)%1
if e1 > e2:
e1,e2 = e2,e1
v = (p<d)
if e1<f:
if e2<f:
r = (e2-e1)/f
else:
... |
# Developed since: Sep 2015
import unittest
import numpy
from upy2.typesetting.numbers import get_position_of_leftmost_digit
from upy2.typesetting.numbers import NumberTypesetter
from upy2.typesetting.rules import LeftRule, RightRule, CentreRule
from upy2.typesetting.scientific import \
TypesetNumberRule, Scientif... |
import logging
import datetime
from fuzzywuzzy import fuzz, process
from django.conf import settings
from django.utils import timezone
from pathlib import Path
from backend.models import FacebookUser, Wiki, Push, Info
from ..fb import (send_buttons, button_postback, send_text, quick_reply, send_generic,
... |
import numpy as np
from qtpy import QtGui, QtCore, QtWidgets
import sharppy.sharptab as tab
from sharppy.sharptab.constants import *
import platform
## routine written by <NAME>
## <EMAIL>
__all__ = ['backgroundFire', 'plotFire']
class backgroundFire(QtWidgets.QFrame):
'''
Handles drawing the background fram... |
#!/usr/bin/env python3
# ==============================================================================
# Copyright (C) 2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
# ==============================================================================
from tools.build_utils import *
# grappler related defa... |
import os
import h5py
import numpy as np
import torch
import torch.utils.data as data
from .base import BaseDataLoader
from .utils import ProgressBar
from .encodings import binary_search_array
class Frames:
"""
Utility class for reading the APS frames encoded in the HDF5 files.
"""
def __init__(se... |
"""
Contains the MapView, which automatically grabs the correct tiles based on
the current zoom level.
"""
import enum
import functools
import logging
import os
import multiprocessing.pool
import queue
import threading
import PIL.Image
import mercantile
import numpy as np
import vispy
from vispy import scene
from vis... |
from argparse import ArgumentParser
from mido import MidiFile
import re
import io
from pico_connection import PicoConnection
parser = ArgumentParser(description='Convert MIDI file for pico_player')
parser.add_argument('infile', type=str, help='input midi file')
parser.add_argument('-p', '--prioritize-channels', type=i... |
_view='''[
"NAME:options",
"MajorSize:=" , "10mm",
"MinorSize:=" , "1mm",
"MajorColor:=" , 16772075,
"MinorColor:=" , 16774645,
"ShowGrid:=" , True,
"PageExtent:=" , [-0.1,-0.1,0.1,0.1],
"background color:=" , 16777215,
"DefaultToSketchMode:=" , False,
"fillMode:=" , False,
"DocVisibilityFlag:=" , 962... |
'''
Excited States software: qFit 3.0
Contributors: <NAME>, <NAME>, and <NAME>.
Contact: <EMAIL>
Copyright (C) 2009-2019 Stanford University
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... |
import os.path
import torch
import warnings
import numpy as np
import torch.nn as nn
import torch.nn.functional as F
from tqdm import tqdm
from data import German
from args import argument_parser
from model import GCN, Encoder, Predictor, Classifier
from utils import stat_parity_and_equal, sim_loss, sp2sptensor
from... |
import copy
import warnings
import weakref
from collections import namedtuple
from collections.abc import Mapping, MutableMapping, Sequence
from typing import (Any, Callable, Dict, Iterable, List, NamedTuple, Optional,
Tuple, Union)
import torch
from torch import Tensor
from torch_sparse import Spa... |
import argparse
import getpass
import json
import io
import os
import sys
import tarfile
import traceback
import shutil
from collections import OrderedDict
if sys.version_info[0] == 2:
print("This script does not work in python2, please run with python3")
sys.exit(1)
from django.utils import timezone
sys.pat... |
# coding: utf-8
import os
#import cPickle as pickle
import pickle
import numpy as np
from nn1_stress_test import *
from scipy import sparse
import argparse
parser = argparse.ArgumentParser(description='PyTorch test with the model from Sen')
parser.add_argument("--seed", type=int, default=1)
parser.add_argument("--nhi... |
#!/bin/env python3
import sys
def eprint(*args, **kwargs): print(*args, file=sys.stderr, **kwargs)
import os
import json
import ast
import re
from ARAX_response import ARAXResponse
sys.path.append(os.path.dirname(os.path.abspath(__file__))+"/../NodeSynonymizer")
from node_synonymizer import NodeSynonymizer
sys.path... |
# Developer: <NAME>; <EMAIL>
# Botien Driver Installer
# Botien Driver Installer Description
# ===================================
# Botien Driver Installer is a windows OS based software that saves you from that headache of installing device drivers manually
# by automating the whole process fo you. You just ha... |
# coding: utf-8
# Copyright (c) Pymatgen Development Team.
# Distributed under the terms of the MIT License
import re
import numpy as np
import warnings
from monty.io import zopen
from collections import defaultdict
from pymatgen.electronic_structure.core import Spin, Orbital
from pymatgen.io.vasp.outputs import Vas... |
# -*- coding:utf-8 -*-
'''
@file DFRobot_SCW8916B.py
@brief Define the basic structure of the DFRobot_SCW8916B class and the implementation of the basic methods.
@n Non-contact liquid level sensor python driver library for Raspberry Pi.
@n Features:
@n 1. Space detection thickness: <= 2mm.
@n 2. Support tw... |
import math
import subprocess
import threading
import os
import sys
import time
import pickle
import numpy as np
from itertools import product
from .acc import pdt
from ..utils.utils_pssm import sep_file, produce_all_frequency
from ..utils.utils_words import convert_tng_to_fasta
def pdt_profile(inputfile, n, lamada... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import os
import torch
from PIL import Image, ImageFile
from torchvision import transforms
import torchvision.datasets.folder
from torch.utils.data import TensorDataset, ConcatDataset, Dataset
from torchvision.datasets import MNIST, ImageFolder
fro... |
import time
import numpy as np
import matplotlib.pyplot as plt
from joblib import Parallel, delayed
import corner
from astropy.io import fits
'''
Assuming zero covariances between data, this script computes the bestfit/
1dmax/mean/median parameter values for each pixel in the galaxy image.
Maps are saved as numpy ar... |
import logging
import base64
import datetime as dt
import http.cookies
import ipaddress
import os
import time
import socket
import uuid
from urllib.parse import urlparse, urlunparse
from google.cloud import storage
from pycurl import error as pycurl_error
from apimetrics_agent import VERSION
from .pycurl_wrapper import... |
import tensorflow as tf
from keras import backend as K
from keras.models import Model
from keras.layers import Conv2D, BatchNormalization, ReLU, DepthwiseConv2D, Activation, Input, Add, UpSampling2D, Concatenate
from keras.layers import GlobalAveragePooling2D, Reshape, Dense, multiply, Softmax, Flatten
# ** to updat... |
# Copyright (c) Gorilla-Lab. All rights reserved.
import os
import h5py
import numpy as np
from typing import List, Union
from torch.utils.data import Dataset
from gorilla import to_float32, find_vcs_root
_DEFAULT_H5_FOLDER = os.path.join(find_vcs_root(__file__), "data", "shapenet",
"... |
import argparse
import subprocess
import sys
from simulation import get_launch_snippet
from simulation import get_vehicle_pose
from simulation import get_vehicle_pose_from_file
from simulation import delete_model
from simulation import spawn_model
from simulation import VEHICLE_BASE_PORT, VEHICLE_TCP_BASE_PORT
from si... |
import json
from base64 import b64encode
from datetime import timedelta
from urlparse import urlparse, parse_qs
from django.contrib import messages
from django.contrib.auth import get_user_model
from django.core.exceptions import ImproperlyConfigured
from django.core.urlresolvers import resolve, reverse
from django.h... |
#
# Copyright (c) nexB Inc. and others. All rights reserved.
# ScanCode is a trademark of nexB Inc.
# SPDX-License-Identifier: Apache-2.0
# See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
# See https://github.com/nexB/scancode-toolkit for support or download.
# See https://aboutcode.org for more in... |
# Part of mcresources by <NAME>
# Work under copyright. Licensed under MIT
# For more information see the project LICENSE file
from mcresources.type_definitions import Json, JsonObject, ResourceIdentifier, ResourceLocation, T, K, V, DefaultValue, MapValue, VerticalAnchor
from typing import List, Tuple, Dict, Seque... |
'''
Project: games
Created Date: Tuesday, January 29th 2019, 9:23:42 pm
Author: <NAME> <<EMAIL>>
-----
Copyright (c) 2019 TBD
Do whatever you want
'''
import sys
import random
import pygame
from pygame.constants import K_UP, K_DOWN, K_SPACE
from ple.games.utils.vec2d import vec2d
#import base
from ple.games.base.pyg... |
# Copyright 2020 Xilinx 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 agreed to in writing,... |
"""
Job Submitter
-------------
The ``job_submitter`` allows to execute a parametric study using a script mask and a `dictionary` of parameters to replace in this mask, from the command line.
These parameters must be present in the given mask in the ``%(PARAMETER)s`` format (other types apart from string are al... |
#!/usr/bin/env python3
version = 0.994
import sys, os, shelve, subprocess, time
import curses
#from time import sleep
from picamera import PiCamera
from picamera import Color
os.system("clear")
os.system("setleds -D +num")
#resuls = subprocess.Popen(['fbset -s'], shell=True, stdout=subprocess.PIPE).communicate()[0... |
import ray
import cv2
import glob
import yaml
import lmdb
import numpy as np
import torch
from torch.utils.data import Dataset
from common.augmenter import augment
from pathlib import Path
from utils import filter_sem
# CHANNELS = [
# 4, # Pedestrians
# 6, # Road lines
# 7, # Road masks
# 8, # ... |
import os
import pprint
import re
import click
import yaml
from flask.cli import FlaskGroup
from networkx import draw, has_path
from g2p import make_g2p
from g2p._version import VERSION
from g2p.api import update_docs
from g2p.app import APP, network_to_echart
from g2p.exceptions import MappingMissing
from g2p.log im... |
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 23 21:32:43 2021
@author: leyuan
reference: https://github.com/ShangtongZhang/reinforcement-learning-an-introduction/blob/master/chapter02/ten_armed_testbed.py
"""
import matplotlib.pyplot as plt
import numpy as np
# ============= figure 2.1 ==============
bandit_a... |
"""
R*-Tree implementation, as described in this paper:
https://infolab.usc.edu/csci599/Fall2001/paper/rstar-tree.pdf
"""
import math
from typing import List, TypeVar, Iterable, Callable, Any, Dict, Optional
from ..rtree import RTreeBase, RTreeEntry, RTreeNode, DEFAULT_MAX_ENTRIES, EPSILON, EntryDivision, EntryOrderin... |
import os
import numpy as np
import itertools
import matplotlib as mpl
mpl.use('agg') # order of magnitude faster than tkagg
import matplotlib.pyplot as plt
from fair_hmumu import defs
mpl.rcParams['font.size'] = 13
def losses(losses, run_conf, loc, unique_id):
# determine the training steps at which the losses... |
import csv
import logging
import re
import sys
from collections import defaultdict, OrderedDict
from contextlib import contextmanager
from functools import partial
from itertools import chain
from six.moves.urllib.parse import unquote
from couchdbkit.exceptions import ResourceNotFound
from django.core.management impo... |
import streamlit as st
import json
import requests
import sys
import os
import pandas as pd
import numpy as np
import re
import matplotlib.pyplot as plt
import altair as alt
from datetime import datetime as dt
def black_marks():
return {
'config': {
'view': {
'height': 600,
... |
"""
Created on Thu Nov 7, 2019
@author: <NAME>
"""
import serial # `pyserial` package; NOT `serial` package
import warnings
import pandas as pd
import numpy as np
import time
import os
import sys
from datetime import datetime
try:
from serial.tools import list_ports
IMPORTED_LIST_PORTS = True
except ValueE... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
**Project Name:** MakeHuman
**Product Home Page:** http://www.makehumancommunity.org/
**Github Code Home Page:** https://github.com/makehumancommunity/
**Authors:** <NAME>
**Copyright(c):** MakeHuman Team 2001-2019
**Licensing:** AG... |
###
# Copyright 2015-2021, Institute for Systems Biology
#
# 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... |
# -*- coding: utf-8 -*-
import sys
import datetime
import sys
import re
import pandas as pd
import statistics
def s_rim_calculator_us(df, expected_income_ratio, current_price):
print("current_price = {}".format(current_price))
try:
#print (df.loc[0])
bps = float(df.loc[2][1]) # Book-value ... |
# -*- coding: utf-8 -*-
import json
import random
from odoo import api, fields, models
from odoo.exceptions import MissingError
from odoo.tools.safe_eval import safe_eval
class MusicPlaylist(models.Model):
_name = "oomusic.playlist"
_description = "Music Playlist"
_inherit = ["oomusic.download.mixin"]
... |
"""
This module contains the |Experiment| class and associated helper functions.
Public objects are imported in ``__init__.py``.
"""
import os
import pickle
import inspect
from logging import getLogger
from importlib import import_module
from contextlib import contextmanager, ExitStack
from datetime import datetime
fr... |
import math
from unittest import TestCase
from x7.geom import transform
from x7.geom.transform import *
from x7.geom.geom import *
from x7.lib.annotations import tests
from x7.geom.testing import TestCaseGeomExtended
@tests(EmptyStackError)
class TestEmptyStackError(TestCase):
pass
class TransformerDummy(Trans... |
# -*- coding: utf-8 -*-
import datetime
import os
import random
import re
import string
import uuid
from decimal import Decimal
from mockups.helpers import get_mockup
# backporting os.path.relpath, only availabe in python >= 2.6
try:
relpath = os.path.relpath
except AttributeError:
def relpath(path, start=os.... |
# python3.7
"""Contains the implementation of discriminator described in StyleGAN.
Paper: https://arxiv.org/pdf/1812.04948.pdf
Official TensorFlow implementation: https://github.com/NVlabs/stylegan
"""
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
__all__ = ['StyleGANDiscrim... |
#!/usr/bin/env python3
"""
sha2 - Pure Python implementation of SHA-2 family of secure hash algorithms
MIT License
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 witho... |
"""
Wiki: https://wiki.axiodl.com/w/MREA_(Metroid_Prime_2)
"""
import copy
import io
import typing
from enum import IntEnum
from typing import Iterator, Optional
import construct
from construct import Struct, PrefixedArray, Int32ub, If, Aligned
from construct.core import (
Array,
Computed,
Const,
Enum,... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2015 <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 ... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
"""
Utility methods related to string paths
"""
from __future__ import print_function, division, absolute_import
import os
import stat
import string
import shutil
import logging
import tempfile
import traceback
import contextlib
from tpDcc.libs.python import name, fol... |
# This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... |
""" This module contains a validator class that can be pointed
at an OPTiMaDe implementation and validated against the pydantic
models in this package.
"""
import time
import requests
import sys
import logging
import json
import traceback
from typing import Union
from pydantic import ValidationError
from starlette.... |
"""
inference_utils.py
Collection of helper methods to use for running inference on trained model.
"""
from __future__ import absolute_import, division, print_function, annotations
import os
import time
from typing import Any
from pathlib import Path
from collections import namedtuple
import tensorflow as tf
impor... |
# coding: utf-8
# /*##########################################################################
#
# Copyright (c) 2017 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
#... |
#!/usr/bin/env python3
# tools/minidumpserver.py
#
# 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 Lice... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from logging import getLogger
from libcity.model.abstract_traffic_state_model import AbstractTrafficStateModel
from libcity.model import loss
import numpy as np
import scipy.sparse as sp
from scipy.sparse import linalg
def sym_adj(adj):
"""Symmetr... |
# SPDX-License-Identifier: BSD-3-Clause
# Copyright (c) 2022 Scipp contributors (https://github.com/scipp)
# @file
# @author <NAME>
import platform
import numpy as np
import pytest
import scipp as sc
def representation_of_native_int():
if platform.system() == 'Windows':
return sc.DType.int32
return... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
##===-----------------------------------------------------------------------------*- Python -*-===##
## _
## | |
## __| | __ ___ ___ ___
## ... |
#
# Copyright 2019 The FATE 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... |
# Copyright 2021 Infoblox 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... |
# Импорт
import discord
import asyncio
import random
import sqlite3
import datetime
import requests
import json
from discord.ext import commands
# Код
class Fun(commands.Cog):
def __init__(self, bot):
self.bot = bot
self._last_member = None
self.cog_name = ["Фановые"]
@commands.comman... |
import logging
import os.path as osp
import queue
import time
from copy import deepcopy
import cloudpickle
import easy_tf_log
import numpy as np
from numpy.testing import assert_equal
import tensorflow as tf
import cv2
from drlhp.deprecated.a2c import logger
from drlhp.deprecated.a2c.utils import (discount_with_dones... |
import numpy as np
import scipy as sp
import scipy.linalg
import numba
import time
from .tree import Tree
import sys
@numba.njit(parallel=True)
def distribute(ucs, temp, pi, li, li2):
for i in numba.prange(pi.size):
if li[i] >= 0:
ucs[li2[pi[i]]] = temp[li[i]]
@numba.njit(parallel=True)
def bu... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
ECCO v4 Python: Utililites
This module includes utility routines that operate on the Dataset or DataArray Objects
.. _ecco_v4_py Documentation :
https://github.com/ECCO-GROUP/ECCOv4-py
"""
from __future__ import division, print_function
import numpy as np
import ... |
"""
A minimalistic local planning environment, in which there is only one "corner"
obstacle.
"""
from __future__ import division
from __future__ import absolute_import
import attr
import numpy as np
from bc_gym_planning_env.robot_models.tricycle_model import TricycleRobot
from bc_gym_planning_env.robot_models.robot_d... |
"""Database tools.
"""
import io
import logging
import os
from typing import Any, Dict, List, Mapping, Optional, Sequence, Tuple, Union
import skytools
from .basetypes import Connection, Cursor
__all__ = (
"fq_name_parts", "fq_name", "get_table_oid", "get_table_pkeys",
"get_table_columns", "exists_schema", ... |
import enum
import functools
import json
import os
import itertools
import datetime
import numexpr
from PyQt5 import QtCore, QtWidgets
from PyQt5.QtWidgets import QFileDialog, QLineEdit, QDialog
import data2eeprom_ui
import programming_ui
from BootFormat import BootFormat
from IntelHexExtended import IntelHex
from da... |
#!/usr/bin/env python
import numpy as np
import h5py
import rospy
import time
# import tensorflow_model_is_gripping.aolib.img as ig, tensorflow_model_is_gripping.aolib.util as ut
import cv2
import KinectB_hd
from std_msgs.msg import Empty
from sensor_msgs.msg import JointState
class DataRecorder_TorqueController:
... |
#!/usr/bin/python
# coding=utf-8
import numpy as np
from scipy.interpolate import Rbf
import matplotlib.pyplot as plt
import sys
from math import pi, sqrt, degrees, acos
import os
import pandas as pd
import warnings
from scipy.constants import physical_constants
from shapely.geometry import LineString, Point
m_p = p... |
# functions and fundamental values defined here!
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from astropy.timeseries import LombScargle
import lightkurve as lk
from astropy.convolution import convolve, Box1DKernel # for boxcar smoothing
from scipy.optimize import leastsq
from lightkurve.c... |
#!/usr/bin/python
"""
UpBack: synchronize (both ways) two filesystem branches using
rclone, so that you can sync local and remote file systems
on Amazon Cloud Drive, Google Drive, Dropbox, etc...
"""
import os
import json
import logging
import collections
import fnmatch
from .rclone import RClone
from .configuration ... |
import random
import logging
from collections import namedtuple
from multiprocessing.pool import ThreadPool, Pool
import time
from game.tichu.handcardsnapshot import HandCardSnapshot
from .baseagent import DefaultAgent
from ..cards import Card, Cards, ImmutableCards
from ..tichu_actions import PassAction, Combinatio... |
import sys,os
import re
from typing import Dict, List, Optional, Set, Callable
from collections import defaultdict, Counter
RE_TAGGING = re.compile(r'^(O|B(o|b(i[_~])+|I[_~])*(I[_~])+)+$')
# don't support plain I and i
STRENGTH = {'I_': '_', 'I~': '~', 'i_': '_', 'i~': '~', 'B': None, 'b': None, 'O': None, 'o': None}... |
from typing import List, Tuple, Dict, Set
from math import sqrt
from random import shuffle, choice, sample, randint, uniform
from copy import deepcopy
from itertools import product
import csp
def construct_sudoku_problem(file_name: str) -> csp.ConstraintProblem:
grid = _parse_sudoku(file_name)
name_to_var_map... |
import numpy as np
import h5py
import time
import numexpr as ne
import os
from timeit import default_timer as timer
from multiprocessing import Pool, cpu_count
from .stripe_removal_original import remove_all_stripe as srm1
os.nice(60)
h5fname_in = '/tomodata/tomobank/tomo_00001/tomo_00001.h5'
chunks = 16
rot_center =... |
"""
PDBBind dataset loader.
"""
from __future__ import division
from __future__ import unicode_literals
import logging
import multiprocessing
import os
import re
import time
import deepchem
import numpy as np
import pandas as pd
import tarfile
from deepchem.splits import Splitter
from deepchem.utils import rdkit_ut... |
import os
from typing import List, Tuple, Union
import urllib.parse
try:
import simplejson as json
except ImportError:
import json
import ipywidgets as ipw
import requests
import traitlets
from optimade.models import LinksResourceAttributes, LinksResource
from optimade.models.links import LinkType
from aiid... |
import sys
import argparse
from collections import Counter, defaultdict
import operator
import itertools
import warnings
import traceback
import os.path
import multiprocessing
import pysam
import HTSeq
class UnknownChrom(Exception):
pass
def invert_strand(iv):
iv2 = iv.copy()
if iv2.strand == "+":
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from collections import deque
# import subprocess
import re
import pandas as pd
import copy
import os
import numpy as np
import pickle
from pymatgen.core.structure import Structure
import matplotlib.pyplot as plt
from scipy.optimize import fsolve
kB = 8.6173303E-5 # eV ... |
import mock # for the mock.call method, importing it without a namespace breaks python3
import os
import psycopg2
import shutil
import unittest
from six.moves import builtins
from mock import Mock, MagicMock, PropertyMock, patch, mock_open
from patroni.dcs import Cluster, Leader, Member
from patroni.exceptions import... |
"""Miscellaneous utilities"""
# Python modules
import os
import uuid as uuid_module
import sys
import re
# 3rd party imports
import pkg_resources
# Beware -- lots of other Vespa modules import this one. If you import
# other Vespa modules here you will almost certainly create circular imports!
# The _EOL_REGEX mat... |
import datetime
import logging
import os
import json
from google.appengine.api import taskqueue
from google.appengine.ext import ndb
from google.appengine.ext import webapp
from google.appengine.ext.webapp import template
from consts.district_type import DistrictType
from consts.event_type import EventType
from da... |
import argparse
import ast
import importlib.util
import os
import sys
import time
from collections import OrderedDict
import googletrans
SRC_DIR = os.path.join(os.path.split(os.path.abspath(sys.path[0]))[0], 'src')
LNG_DIR = os.path.join(SRC_DIR, 'languages')
DST_FILE = os.path.join(LNG_DIR, 'ru.py')
EXT = '.py'
WALK... |
"""Tests of the transform module."""
from array import array
import logging
from affine import Affine
import pytest
import numpy
import rasterio
from rasterio import transform
from rasterio.env import GDALVersion
from rasterio.transform import (
get_transformer,
xy,
rowcol,
AffineTransformer,
G... |
import pdb
from tqdm import tqdm
import types
from itertools import combinations, permutations
from scipy.spatial.distance import cosine
import numpy as np
from numpy.linalg import norm
from numpy.random import shuffle, choice
from numpy.testing import assert_array_equal
import pandas as pd
from matplotlib import py... |
mat = [[0 for x in range(9)] for y in range(9)]
correct = [[0 for x in range(9)] for y in range(9)]
notes = [[[0 for z in range(10)] for x in range(9)] for y in range(9)]
line_borders_3x3 = [[0 for x in range(9)] for y in range(9)]
column_borders_3x3 = [[0 for x in range(9)] for y in range(9)]
def add_... |
# Copyright (C) 2020-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
import collections
import copy
import editdistance
import logging
import numpy as np
import os
import string
import subprocess # nosec
import tempfile
from mmcv.utils import print_log
from pycocotools.cocoeval import COCOeval
from tqdm... |
# Copyright (C) 2013 Google Inc. 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
# notice, this list of conditions and the ... |
import json
import os
import pickle
import random
import numpy as np
import pandas as pd
from scipy.stats import truncnorm
from forecasting.utils import map_to_date, split_historic_forecast
from hospital.people import Patient
DIRNAME = os.path.dirname(__file__)
_MAP_SPECIALTIES = {
"Trauma & Orthopaedic": "tra... |
# -*- coding: UTF-8 -*-
"""
..
---------------------------------------------------------------------
___ __ __ __ ___
/ | \ | \ | \ / the automatic
\__ |__/ |__/ |___| \__ annotation and
\ | | | | \ ... |
#
# Copyright 2021 Splunk 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 agreed to in writing, so... |
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