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import inspect
import functools
import asyncio
import typing as t
import contextlib
import types
from .module import Module
from .util import isasync
FuncType = t.Callable[..., t.Any]
Decorator = t.Callable[[FuncType], FuncType]
UNSET = inspect.Parameter.empty
class NoProvider(RuntimeError):
pass
class Inje... |
# -*- coding: utf-8 -*-
from functools import reduce
import logging
from operator import mul
from os.path import join as pjoin
import numpy as np
from africanus.rime.predict import (PREDICT_DOCS, predict_checks)
from africanus.util.code import format_code, memoize_on_key
from africanus.util.cuda import cuda_type, g... |
# -*- coding: utf-8 -*-
# (c) 2018 <NAME> <<EMAIL>>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import socket
from ansible.module_utils.six import StringIO
from ansible.module_utils.... |
import numpy as np
import matplotlib.pyplot as plt
from math import cos, sin, tan, pi
import math
import time
class DHparam:
"""DHパラメータ"""
def __init__(self, alpha, a, d, theta):
self.alpha = alpha
self.a = a
self.d = d
self.theta = theta
class Homogeneous... |
import os.path
from html import escape
from types import GeneratorType
from typing import Union
from ovld import ovld
from .textgen import Breakable, Context, Text
# CSS for hrepr
styledir = f"{os.path.dirname(__file__)}/style"
css_nbreset = open(f"{styledir}/nbreset.css", encoding="utf-8").read()
# These tags are... |
from turtle import *
from math import *
from time import sleep
setup()
up()
#speed('normal') #probably redundant at this stage if using delay(0)
#set to middle of the screen I think. I'm commenting a lot of this code more than a year after writing it / learning turtle&python
home()
tracer(0, 0) # make drawing faster... |
# Copyright 2017 The AI Safety Gridworlds 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 b... |
import os
from cs50 import SQL
from flask import Flask, flash, jsonify, redirect, render_template, request, session
from flask_session import Session
from tempfile import mkdtemp
from werkzeug.exceptions import default_exceptions, HTTPException, InternalServerError
from werkzeug.security import check_password_hash, ge... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Convert the *DECOW14X* corpus into a plain text file. Is used as pre-processing step for the
`word2vec <https://code.google.com/archive/p/word2vec/>`_ training.
To make this this more feasible (decow is a **huge** corpus), python's :mod:`multiprocessing` is used, s.t. every... |
# This file is part of the MapProxy project.
# Copyright (C) 2011 Omniscale <http://omniscale.de>
#
# 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... |
import tensorflow as tf
from tensorflow.python.ops.gradients_impl import _hessian_vector_product
import numpy as np
from dps import cfg
from dps.rl.optimizer import Optimizer
from dps.utils.tf import lst_to_vec, vec_to_lst, masked_mean, build_scheduled_value
class TrustRegionOptimizer(Optimizer):
def __init__(se... |
from __future__ import absolute_import
from copy import copy
import numpy as nm
from sfepy.base.testing import TestCommon
from sfepy.base.base import ordered_iteritems
from sfepy import data_dir
filename_meshes = [data_dir + '/meshes/elements/%s_2.mesh' % geom
for geom in ['1_2', '2_3', '2_4', '3_... |
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright 2015-2018 by Exopy Authors, see AUTHORS for more details.
#
# Distributed under the terms of the BSD license.
#
# The full license is in the file LICENCE, distributed with this software.
# ---------------... |
#!/usr/bin/env python
# coding=utf-8
import numbers
from . import trit
from . import integer
class Register(trit.Trits):
"""A fixed-length, mutable, ordered sequence of trits.
A Register's length is set when it is created, and is fixed for the
lifetime of the Register. The contents of the Register with... |
# (c) 2017 <NAME>
"""common interface for all pore geometries
should behave as follows:
-) defines default parameters for the geometry
-) provides function that takes geoname, geo params (including dim) plus
small additional number of non-geo (solver) params
(h, reconstruct, subs), and returns ge... |
import os.path as osp
import cv2 as cv
import numpy as np
from torch.utils.data import Dataset
from PIL import Image
from sklearn.model_selection import StratifiedKFold
class FivePointsAligner():
"""This class performs face alignmet by five reference points"""
ref_landmarks = np.array([30.2946 / 96, 51.6963 ... |
import json
from django.shortcuts import render
from django.views.generic import View
from django.http.response import JsonResponse, HttpResponseBadRequest, HttpResponseNotFound
from .models import Meeting, ShareholderInfo,OnSiteMeeting,GB
from django.contrib.auth import login
from rest_framework_jwt.settings import ap... |
from discord.ext import commands
import discord
import functions as fnc
import psycopg2
import os
from cogs.help import get_help_match
# 本番用テキストチャンネル
CHANNEL_ID = int(os.environ["PERFORMANCE_CHANNEL"])
# ログ管理用クローズドチャンネル
TEST_ID = int(os.environ["TEST_CHANNEL"])
# 投稿権限を持つユーザー
SCORER_USER = int(os.environ["SCORER"])
c... |
from PyQt5.QtCore import pyqtSlot, pyqtSignal, QObject, Qt
from PyQt5.QtWidgets import QLineEdit, QTextBrowser
from PyQt5.QtGui import QTextCursor
# from MyPyQtGUI import MainApp
from queue import Queue
import logging
import datetime
import tqdm
import time
import sys
import tqdm.auto as t_AUTO
IS_SETUP_DONE = 'is_s... |
# -*- coding: utf-8 -*-
"""DPKT tools
:mod:`pcapkit.toolkit.dpkt` contains all you need for
:mod:`pcapkit` handy usage with `DPKT`_ engine. All reforming
functions returns with a flag to indicate if usable for
its caller.
.. _DPKT: https://dpkt.readthedocs.io
"""
import ipaddress
from pcapkit.const.reg.transtype im... |
#!/usr/bin/env python3
import argparse
import curses
import fcntl
import os
import re
import signal
import subprocess
import sys
import time
from datetime import datetime
RUN_CMD = "foo"
RUN_DIR = "./build/"
OPTION_TYPE_1 = ["-o", "-i", "-s"]
OPTIMUM = ["fib", "gra", "ann", "par", "gen"]
INTEGRAL = ["tra", "sim", "ro... |
################################################################################
# Copyright (C) 2019 drinfernoo #
# #
# This Program is free software; you can redistribute it and/or modify ... |
import os
import pandas as pd
from numpy import testing as npt
import pandas.util.testing as pdt
import ixmp
import pytest
from ixmp.default_path_constants import CONFIG_PATH
from testing_utils import (
test_mp,
test_mp_props,
test_mp_use_default_dbprops_file,
test_mp_use_db_config_path,
)
test_args ... |
"""Wave equation propagator.
"""
import numpy as np
from smii.modeling.propagators import (libscalar1d, libscalar2d)
class ScalarPropagator(object):
"""A scalar wave equation propagator object."""
def __init__(self, model, dx, source_dt, sources, pad_width,
pml_width=None):
"""A scalar... |
# -*- coding: utf-8 -*-
"""
Character Codes
"""
import sys
from mathics.builtin.base import Builtin
from mathics.core.expression import Expression
from mathics.core.atoms import (
Integer,
Integer1,
String,
)
from mathics.core.symbols import SymbolList
from mathics.builtin.strings import to_python_enco... |
from django import forms
from django.forms.widgets import RadioSelect
from crits.campaigns.campaign import Campaign
from crits.core import form_consts
from crits.core.forms import add_bucketlist_to_form, add_ticket_to_form
from crits.core.handlers import get_source_names, get_item_names
from crits.backdoors.handlers i... |
from __future__ import (
annotations,
)
import logging
from datetime import (
datetime,
)
from typing import (
AsyncIterator,
Optional,
Type,
TypeVar,
)
from uuid import (
UUID,
uuid4,
)
from dependency_injector.wiring import (
Provide,
inject,
)
from minos.aggregate.events im... |
import torch
from torch.functional import norm
import torch.nn.functional as F
import os
from ProcessData.lafan1.extract import *
from ProcessData.Skeleton import *
from ProcessData.Utils import *
from numpy import pi
from typing import Tuple
import Format
def unwrap(x):
"""From https://discuss.pytorch.org/t/np-un... |
from re import split
from datetime import datetime
from random import randint
class Node():
tot_palavras=0
palavras_distintas=0
numero_rotacoes=0
def __init__(self, palavra, linha):
self.palavra=palavra
self.linha=[linha]
self.fator_equi=0
self.altura=1
self.meno... |
__all__ = [
"Mecha",
"MechaOptions",
"AstCacheBackend",
]
import logging
import os
import pickle
import sys
from contextlib import contextmanager
from dataclasses import InitVar, dataclass
from io import BufferedReader, BufferedWriter
from pathlib import Path
from typing import (
Any,
Dict,
It... |
"""Module containing utilities."""
import math
import numpy as np
import geopandas as gpd
import shapely
import pycountry
import pyproj
from renewablepotentialslib.conversion import transform_bounds, eu_country_code_to_iso3
from renewablepotentialslib import EPSG_3035, EPSG_3035_PROJ4, WGS84, WGS84_PROJ4
def determ... |
"""
Support routines for subprocess and multiprocess module.
Currently, this extension module is only required when using the
modules on Windows.
"""
import sys
if sys.platform != 'win32':
raise ImportError("The '_winapi' module is only available on Windows")
# Declare external Win32 functions
from _pypy_winbase... |
import pytest
import logging
import numpy as np
import pandas as pd
from pyam import check_aggregate, IamDataFrame, IAMC_IDX
from pyam.testing import assert_iamframe_equal
from conftest import DTS_MAPPING
LONG_IDX = IAMC_IDX + ['year']
PE_MAX_DF = pd.DataFrame([
['model_a', 'scen_a', 'World', 'Primary Energy', ... |
#!/usr/bin/env python3
from timfuz import Benchmark, A_di2ds
import glob
import math
import json
import sys
from collections import OrderedDict
# Speed index: some sort of special value
SI_NONE = 0xFFFF
# prefix to make easier to track
# models do not overlap between PIPs and WIREs
PREFIX_W = 'WIRE_'
PREFIX_P = 'PIP... |
import torch
import torchvision
import os
import re
import time
import zipfile
import shutil
import tqdm
import random
from torch.utils.data import sampler
from PIL import Image
from itertools import cycle, islice
# ========================================================
# Dataset-related functions and classes
# ===... |
from meross_iot.cloud.abilities import *
from meross_iot.cloud.device import AbstractMerossDevice
from meross_iot.logger import BULBS_LOGGER as l
from meross_iot.meross_event import BulbSwitchStateChangeEvent, BulbLightStateChangeEvent
MODE_LUMINANCE = 4
MODE_TEMPERATURE = 2
MODE_RGB = 1
MODE_RGB_LUMINANCE = 5
MODE_T... |
## ------------------------------------------------------------------------------------------------------------------ ##
## ------------------------------------------------------------------------------------------------------------------ ##
## ___ ___ ________ ________ ______ _... |
from .basic_callbacks import Callback, CancelTrainException
from ..hook import Hooks
from ..utils import ToolBox as tbox
import torch
import torch.nn as nn
import math
from functools import partial
import matplotlib.pyplot as plt
class LR_Find(Callback):
_order = 1
def __init__(self, max_iter=100, min_lr=1e-... |
import os
import numpy as np
import json
import pytest
from django.utils.datastructures import MultiValueDict
from pytest_mock import mocker
import torch
from capreolus.collection import Collection
from capreolus.demo_app.views import ConfigsView, NeuralQueryView, QueryDictParserMixin, CompareNeuralQueryView, BM25Vi... |
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
def model_line_func(t, a, b):
return a * t + b
class Percolation:
def __init__(self, length):
self.length = length
self.grid = np.zeros((length + 2, length + 2), dtype=int)
self.p = 0
self... |
import pandas as pd
import matplotlib.pyplot as plt
from os import path
from src.utils.logger import Logger
from src.utils.path import PATH_DOCS, PATH_DATA_OUTPUT
import src.utils.input_output as io
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MinMaxScaler
import tensorflow
fr... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import re
import copy
import mistune
from .parsers.poll import PollParser
class BlockGrammar(mistune.BlockGrammar):
block_math = re.compile(
r'^ *\$\$([\s\S]+?)\$\$ *(?:\n+|$)'
)
block_math_brackets = re.compile(
r'^ *\\\... |
"""Train a model on SQuAD.
Author:
<NAME> (<EMAIL>)
"""
import chunk
import numpy as np
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.optim.lr_scheduler as sched
import torch.utils.data as data
import util
from args import get_train_args... |
#
# Copyright 2019 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 writi... |
# 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 the Li... |
import warnings
import unittest
import numpy as np
import io
from genomvar.test import MyTestCase
from genomvar import variant
from genomvar.vcf import VCFReader, BCFReader, VCFWriter, \
RESERVED_FORMAT, RESERVED_INFO
from genomvar.vcf_utils import header as vcf_header
from pkg_resources import resource_filename as... |
#!/usr/bin/env python
#
# Refer to LICENSE file and README file for licensing information.
#
#pylint: disable-msg=broad-except,global-statement
import os
import sys
import time
import random
from datetime import datetime as dt
from datetime import timedelta as td
import requests
import bs4
from tickerplot.sql.sqlalc... |
import matplotlib
matplotlib.use("Agg")
import matplotlib.pylab as plt
import os
import librosa
import numpy as np
import torch
from torch.utils.data import DataLoader
import sys
if os.path.isdir(os.path.join(os.getcwd(),'pre-train')):
sys.path.append('pre-train')
from reader import TextMelIDLoader, TextMelIDCol... |
import tensorflow as tf
from keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau
from datetime import datetime
import numpy as np
import argparse
from rdkit import Chem
import time
import csv
import os
# import modeuls from current directory
from dataset import *
import model as m
from callback i... |
import numpy as np
import scipy as sp
import scipy.spatial
import scipy.signal
import numexpr as ne
import warnings
import os
from ...misc.basic_functions import rowsum, differentiation_matrix, differentiate
from ...kernels.high_level.laplace import Laplace_Layer_Form, Laplace_Layer_Apply
from ...kernels.high_level.ca... |
from nhlscrapi.scrapr.teamnameparser import team_abbr_parser
# default parser does nothing
def default_desc_parser(event):
pass
#############################
##
## helper funcs
##
#############################
# get int distance from 'num ft.'
def get_ft(s, def_dist = -1):
sd = s.split(" ")[0]
... |
# Copyright (c) 2019 fortiss GmbH
#
# This software is released under the MIT License.
# https://opensource.org/licenses/MIT
import os
import pickle
import pandas as pd
import logging
import copy
import time
logging.basicConfig()
logging.getLogger().setLevel(logging.INFO)
from modules.runtime.commons.parameters impor... |
from pyridge.util import metric_dict, prepare_data
from pyridge.util.cross import get_best_param, product_dict
from pyridge import algorithm_dict
import numpy as np
import logging
import os
from time import perf_counter
logger = logging.getLogger('pyridge')
def check_algorithm(folder,
dataset,
... |
import sys
whether_set_yml = ['configs_yml' in input_arg for input_arg in sys.argv]
if sum(whether_set_yml)==0:
default_webcam_configs_yml = "--configs_yml=configs/video.yml"
print('No configs_yml is set, set it to the default {}'.format(default_webcam_configs_yml))
sys.argv.append(default_webcam_configs_y... |
# -*- encoding: utf-8 -*-
'''
@File : main.py
@Time : 2020/11/19 18:30:11
@Author : KingofCode
@Version : 1.0
@Contact : <EMAIL>
@Desc : 文件完成MPI的启动,配置初始化,数据集加载,启动打包过程
'''
# here put the import lib
from setting import settings
from nest import Nester
from nest import find_fitness
from tools.calcu... |
from features.git_commit_features import GitCommitFeatures
from copy import deepcopy
from git_analysis.analyze_git_logs import retrieve_git_logs
from object.features import HistoryFeatures as HistoryFeaturesObj
class HistoryFeatures(GitCommitFeatures):
def __init__(self, rgcm):
super(HistoryFeatures, self... |
# -*- coding: utf-8 -*-
# cython: language_level=3
# BSD 3-Clause License
#
# Copyright (c) 2020-2021, <NAME>
# 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 m... |
# -*- coding: utf8 -*-
#
# 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... |
import json, sqlite3
conn = sqlite3.connect('dbmemovira.sqlite3')
c = conn.cursor()
COLORS = {"beige": "#f5f5dc",
"brown": "#a52a2a",
"crimson red": "#990000",
"cyber yellow": "#ffd300",
"dark orange": "#ff8c00",
"forest green": "#228B22",
"fuchsia": "#ff00f... |
import os
import argparse
import numpy as np
from tqdm import tqdm
import pandas as pd
import joblib
from collections import OrderedDict
from datetime import datetime
import matplotlib.pyplot as plt
import torch
import torch.backends.cudnn as cudnn
import torch.nn as nn
import torch.optim as optim
import torchvision.t... |
'''
Created on January 30, 2018
@author: khoi.ngo
All SDK users can change their own verkey.
(https://docs.google.com/spreadsheets/d/1TWXF7NtBjSOaUIBeIH77SyZnawfo91cJ_ns4TR-wsq4/edit#gid=0)
This script will setup an environment with a pool (from genesis_txn file),
a wallet inside that pool and get the default Steward... |
from __future__ import print_function
import logging
import os
import random
import numpy as np
from tqdm import tqdm, trange
from transformers_config import *
import torch
from torch.utils.data import DataLoader, RandomSampler
## Optimization
from transformers import (
WEIGHTS_NAME,
AdamW,
get_linear_s... |
'''
Functions:
type_fixer: auto convert the input object to a python data type. Works
recursivley through lists and tuples. Great function for
strings or lists of strings parsed from files.
extract_floats: pareses discreet real numbers (type = float) out of a
... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
# copyright <NAME> 2012-2013
from __future__ import division
import numpy
import sys
import brukerIO
import math
# gestion des arguments
import argparse
try:
from multiprocessing import Pool
except:
from processing import Pool
parser = argparse.ArgumentParser(descr... |
#Copyright (c) 2018-2020 <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 without restriction, including without limitation the rights
#to use, copy, modify, merge, publish, distribute, ... |
import numpy as np
from scipy.stats import norm, truncnorm
class TransitionKernel():
'''
A transition kernel on a random variable (or a set of RVs) stores the current value of the RV,
propose() will propose a new RV by setting the value attribute, and return forward and backward transition log probability.
reve... |
import enum
import numpy
import scipy
import time
from AIToolbox import MDP, POMDP
from matplotlib import pyplot as plt
from matplotlib.lines import Line2D
from sklearn.metrics import roc_curve, auc
class Action(enum.Enum):
ANALIZE = 0
BLOCK = 1
PASS = 2
class Observe(enum.Enum):
OK = 0
... |
"""Contains classes for a standard deck of playing cards, plus one joker."""
class Suit:
"""The Suit class, for suits.
Includes the no-trump suit.
"""
_suits_short = ['N', 'C', 'D', 'H', 'S']
_suits_long = ['no-suit', 'Clubs', 'Diamonds', 'Hearts', 'Spades']
def __init__(self, val... |
import tensorflow as tf
from tensorflow.keras import layers, Model
import numpy as np
from collections.abc import Iterable
from dl_playground.networks.utils import (
config_to_regularizer,
ActivityMonitor,
activation_function,
)
class MLP(layers.Layer):
"""Multi-layer perceptron.
Parameters
... |
# -*- coding: utf-8 -*-
"""
The format of font.bin: [File Header][Glyphs Table][Glyphs Data]
File Header: BF [2 bytes]
VersionNumber [1 byte]
FontHeight [ 1 byte]
FontWidthMinimum [1 byte]
FontWidthMaximum [1 byte]
Glyph Count [2 bytes]
Glyphs Table: [ data position[2 bytes], width [1 byte] ] x G... |
#
# Copyright (c) 2015-2018 Canonical, Ltd.
#
# This file is part of Talisker
# (see http://github.com/canonical-ols/talisker).
#
# 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
# regardin... |
# Copyright 2018 <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, software
... |
from __future__ import annotations
from typing import List
import numpy as np
from nncg.allocation import Allocation
from nncg.nodes.expressions import Variable
from nncg.nodes.misc import Node
from nncg.writer import Writer
class CHeaderNode(Node):
"""
Class for writing everything in a C file that is above t... |
#
# @cond ___LICENSE___
#
# Copyright (c) 2017 <NAME> and individual 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 without limitation the rig... |
# Subject to the foregoing terms and conditions, Ubiq hereby grants to You, at
# no cost, a perpetual, worldwide, non-exclusive, royalty-free, irrevocable
# (except as stated herein) license to the Software, including all right to
# reproduce, prepare derivative works of, sublicense, and distribute the same.
# In the e... |
from typing import Dict, Any, Tuple, Union
from collections import namedtuple
import pathlib
import logging
import attr
from attr.validators import instance_of
import numpy as np
import pandas as pd
import zarr
from numcodecs import Zstd
def trunc_end_of_file(name) -> str:
"""
Take only the start of the file... |
# -*- coding: utf-8 -*-
"""
Purpose: Word level Natural Language Generation (NLG).
a. This file trains a word based NLG model.
b. Model training has early stopping to prevent over-training.
c. Save the best performing models during training.
d. Metrics from each trained epoch are... |
# IMPORT STATEMENTS
import streamlit as st
import pandas as pd
from PIL import Image
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import accuracy_score
from sklearn.model_selection import train_test_split
from pandas_profiling import ProfileReport
from streamlit_pandas_profiling import st_pro... |
import pandas as pd
import numpy as np
# import matplotlib.pyplot as plt
# import seaborn as sns
# from scipy import stats
from ast import literal_eval
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
from sklearn.metrics.pairwise import linear_kernel, cosine_similarity
from nltk.stem.snowba... |
# -*- coding: utf-8 -*-
"""
Azure Resource Manager (ARM) Compute SSH Public Key State Module
.. versionadded:: 4.0.0
:maintainer: <<EMAIL>>
:configuration: This module requires Azure Resource Manager credentials to be passed via acct. Note that the
authentication parameters are case sensitive.
Required provi... |
""" BioSimulators-compliant command-line interface to the `XPP <http://www.math.pitt.edu/~bard/xpp/xpp.html>`_ simulation program.
:Author: <NAME> <<EMAIL>>
:Date: 2021-08-06
:Copyright: 2021, Center for Reproducible Biomedical Modeling
:License: MIT
"""
from .utils import validate_variables, apply_model_changes, set... |
__all__ = [
'generate_mat_stub',
'generate_mat_typevars',
'generate_mat_unions'
]
import textwrap
from itertools import product
from matrixtype import get_matrix_types, inspect_matrix
from stub import matrix_name, matrix_union, union, vector_name, vector_union
def generate_mat_unions():
for data_ty... |
# -*- coding:utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import os
import logging
import json
SEP = "[SEP]"
CLS = "[CLS]"
MASK = "[MASK]"
UNK = "[UNK]"
def _parse_text(file_name: str, word_dict: dict, label_dict: dict, w... |
#!/usr/bin/env python3
# Copyright (c) 2019, NVIDIA CORPORATION. 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... |
import datetime
import decimal
import enum
import inspect
import re
import typing
import uuid
import dataclasses
from dateutil import parser
from .convert_exception import ConvertException
from ..type_utils import get_origin_type
from ..type_utils import is_optional
_converters = {}
Item = typing.TypeVar('Item')
uui... |
#-*- coding:utf-8 -*-
from __future__ import print_function
import cv2
import glob
import os
import shutil
import sys
sys.path.append(os.getcwd())
from lib.fast_rcnn.config import cfg
def resize_im(im, scale, max_scale=None):
f = float(scale) / min(im.shape[0], im.shape[1])
if max_scale != None and f * m... |
#!/usr/bin/env python
nyan = ["""r-0-32
g-5-2 a-5-2 e-5-1 e-5-2 c-5-1 d#5-1 d-5-1 c-5-2 c-5-2 d-5-2
d#5-2 d#5-1 d-5-1 c-5-1 d-5-1 e-5-1 g-5-1
a-5-1 e-5-1 g-5-1 d-5-1 e-5-1 c-5-1 d-5-1 c-5-1
e-5-2 g-5-2 a-5-1 e-5-1 g-5-1 d-5-1
e-5-1 c-5-1 d#5-1 e-5-1 d#5-1 d-5-1 c-5-1 d-5-1
d#5-2 c-5-1 d-5-1 e-5-1 g-5-1 d-5-1 e-5-1 d-... |
from hashlib import blake2b
import math
import random
import matplotlib as mpl
from mpl_toolkits.mplot3d import Axes3D
import matplotlib.pyplot as plt
import numpy as np
# Some global parameters
# Further fine-tuning of these will improve shell quality.
minFloatParam = 2.0**-3
maxFloatParam = 2.0**3
minFrequency = 2.0... |
from collections import defaultdict
from typing import TYPE_CHECKING, DefaultDict, Dict, List
import graphene
from django.core.exceptions import ValidationError
from ....core.permissions import ShippingPermissions
from ....core.tracing import traced_atomic_transaction
from ....shipping.error_codes import ShippingErro... |
import os
import os.path as osp
from tqdm import tqdm
from pathlib import Path
from collections import defaultdict
import numpy as np
from pyquaternion import Quaternion
from scipy.spatial.transform import Rotation as R
from nuscenes.nuscenes import NuScenes
from nuscenes.utils import splits
from nuscenes.utils.geome... |
# Copyright Contributors to the Pyro project.
# SPDX-License-Identifier: Apache-2.0
"""
Top-down Model
==============
This script gives an example on how to use Pyro forecast module to backtest and
make a submission for M5 accuracy/uncertainty competition.
Using the top-down approach in [1], we first construct a mod... |
# Copyright (c) 2019, IRIS-HEP
# 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 foll... |
# Copyright 2018-2021 Xanadu Quantum Technologies Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from typing import TypeVar, Generic, List, Any
S = TypeVar('S') # Generic Sequence
I = TypeVar('I') # Generic Item
class SubSeq(Generic[S]):
"""
Represents a SubSequence
"""
def __init__(self):
pass
class CommonSubSeq(Generic[S],... |
import pytest
from conftest import quoted_object, run_setup_sql
from pgbedrock import ownerships as own
from pgbedrock import attributes, privileges
from pgbedrock.context import ObjectInfo
Q_CREATE_SEQUENCE = 'SET ROLE {}; CREATE SEQUENCE {}.{}; RESET ROLE;'
Q_SCHEMA_EXISTS = "SELECT schema_name FROM information_sch... |
import argparse
import csv
import os
import pickle
import re
import sys
import time
import Constants as c
from abroad_traffic_analysis import abroad_analysis as abr_ana
from abroad_traffic_analysis import visualization_abroad as vis_abr
from dst_characterize import identify_party as idtpt
from party_analysis import vi... |
#!/usr/bin/env python
"""Standard pipelines for white matter electron microscopy segmentation.
"""
import os
from wmem import utils
from wmem.series2stack import series2stack
from wmem.downsample_slices import downsample_slices
from wmem.stack2stack import stack2stack
from wmem.prob2mask import prob2mask
from wmem.c... |
# -*- coding: utf-8 -*-
u"""
Copyright 2021 Telefónica Investigación y Desarrollo, S.A.U.
This file is part of Toolium.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/lic... |
import h5py
import mpi_init
import subfind_data
import cosmology
import tree_build
import numpy as np
from scipy.interpolate import interp1d
def compute_accretion_rates(mpi, path, datasets, data, snap=99, mcut=1.0e12):
"""
Compute the accretion rate based on different mass estimates
"""
if not mpi.Ra... |
from PySimpleGUI import PySimpleGUI as sg
from docx import Document
from docx.shared import Inches
from datetime import datetime
from docx.shared import Pt
from docx.enum.text import WD_ALIGN_PARAGRAPH
import os
def doc(cliente, img=0):
now = datetime.today()
today = f'{now.day}{now.month}{now.year}--{now.hou... |
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