text stringlengths 3.07k 12.6k |
|---|
"""
The TimelineType definition.
"""
__classification__ = "UNCLASSIFIED"
__author__ = "<NAME>"
from typing import List, Union
import numpy
from sarpy.io.xml.base import Serializable, SerializableArray
from sarpy.io.xml.descriptors import FloatDescriptor, IntegerDescriptor, \
DateTimeDescriptor, SerializableDes... |
import matplotlib.pyplot as plt
import numpy as np
import math
umekomi_runge4 = [[ 0.0, 0, 0, 0, 0, 0, 0],
[ 0.25, 0.25, 0, 0, 0, 0, 0],
... |
import numpy as np
import random
def my_ransac_v2(data,
distance_threshold=0.3,
P=0.99,
sample_size=3,
max_iterations=10000,
):
"""
更改迭代条件
加速计算
:param data:
:param sample_size:
:param P :
:param dis... |
import sys
import pytest
from makefun import create_function
# Python 2 does not support function annotations; Python 3.0-3.4 do not support variable annotations.
params_type_hints_allowed = sys.version_info.major >= 3 and sys.version_info.minor >= 5
if params_type_hints_allowed:
type_hints_variants = [False, ... |
# -*- coding: utf-8 -*-
# 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... |
"""This module contains the general information for StorageLocalDiskOperation ManagedObject."""
from ...ucscmo import ManagedObject
from ...ucsccoremeta import UcscVersion, MoPropertyMeta, MoMeta
from ...ucscmeta import VersionMeta
class StorageLocalDiskOperationConsts():
ADMIN_VIRTUAL_DRIVE_ID_UNSPECIFIED = "un... |
# traverse all
import numpy as np
import pandas as pd
from argparse import ArgumentParser
from utils import powerset, subset
import os, sys
import seaborn as sns
def option():
parser = ArgumentParser()
parser.add_argument('--dataset', default='Cora', type=str, help='dataset')
parser.add_argument('--multip... |
# -*- coding: utf-8 -*-
from . import Pipeline, Converter, Options, Accessor, accessors
#from .. import xlplatform
from ..main import Range
import datetime
try:
import numpy as np
except ImportError:
np = None
_date_handlers = {
datetime.datetime: datetime.datetime,
datetime.date: lambda year, mon... |
# -*- coding: utf-8 -*-
import pickle
import unittest
import numpy as np
import pandas as pd
from os import path
from tqdm import tqdm
from scipy import sparse
from pprint import pprint
from irmet.metrics import nDCG
from matplotlib import pyplot as plt
from sklearn.metrics import mean_squared_error
GROUP_KEY = 'race... |
# SPDX-License-Identifier: MIT
import os
import os.path
import platform
import shutil
import stat
import subprocess
import sys
import sysconfig
import tempfile
import pytest
def _setup():
"""At the start of the test suite initialize the environment in case of path/wheel/sdist mode"""
mode = os.environ.get('... |
from PySide2 import QtCore
from eqt.threading import Worker
import paramiko
from brem import BasicRemoteExecutionManager
import os, ntpath, posixpath
import socket
from .brem import Windows, POSIX
class RemoteAsyncCopyOverSSHSignals(QtCore.QObject):
status = QtCore.Signal(tuple)
job_id = QtCore.Signal(int)
cla... |
import logging
import torch
import torch.nn as nn
import torch.optim as optim
from torch.autograd import Variable
from torch.nn.utils import clip_grad_norm_
logger = logging.getLogger('deepmatcher.optim')
class SoftNLLLoss(nn.NLLLoss):
"""A soft version of negative log likelihood loss with support for label sm... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
# The script is written to peform prob classification using 4 layer DNN model using pytorch wrapper skorch
# The script is revised by <NAME> on 2020-09-05
'''
import os, sys
Ranger_Path='/projects/camde/Project/External/2003_GNN8CP/script/TorchOptimizer/'
#'C:/GDrive/... |
#!/usr/bin/python3
#
# ./compute_stats_for_pages_in_course.py course_id
#
# it outputs a XLSX file with the name statistics_for_course_xx.xlsx
# where xx is the course_id
#
# <NAME>: <NAME>.
#
# 2020.03.27
# based on compute_stats_for_pages_in_course.py from 2016.07.15
#
# with the option "-v" or "--verbose" you get... |
import os
import shutil
import sys
from kivy import Config
from kivy.storage.jsonstore import JsonStore
from katrain.core.ai import ai_rank_estimation
from katrain.core.constants import (
PLAYER_HUMAN,
PLAYER_AI,
PLAYING_NORMAL,
PLAYING_TEACHING,
OUTPUT_INFO,
OUTPUT_ERROR,
OUTPUT_DEBUG,
... |
import json
import os
import six
from avro import schema
from io import StringIO
from avro.schema import SchemaFromJSONData as make_avsc_object
from .core_writer import generate_namespace_modules, clean_fullname
from .tabbed_writer import TabbedWriter
from .core_writer import write_preamble, start_namespace, write... |
#!/usr/bin/env python
"""Wrapper for WoLF PSORT v0.2 for use in Galaxy.
This script takes exactly four command line arguments:
* the organism type (animal, plant or fungi)
* number of threads to use (integer)
* an input protein FASTA filename
* output tabular filename.
It then calls the standalone WoLF PSORT v0.2... |
# -*- coding: utf-8 -*-
# @Author: liangou
# @Date: 2021-02-26 11:14:00
# @Last Modified by: liangou
# @Last Modified time: 2021-04-06 10:52:31
'''
1.filter and combination all the motif site
2.apply model to features table
'''
import itertools
import pickle,subprocess
from collections import defaultdict
from co... |
#@+leo-ver=5-thin
#@+node:ekr.20170428084207.311: * @file ../external/npyscreen/fm_form_edit_loop.py
#!/usr/bin/env python
# encoding: utf-8
import leo.core.leoGlobals as g
assert g
#@+others
#@+node:ekr.20170428084207.312: ** Declarations
"""
form_edit_loop.py
Created by <NAME> on 2008-03-31.
Copyright (c) 2008 __MyC... |
"""
The MNIST dataset.
"""
__authors__ = "<NAME>"
__copyright__ = "Copyright 2010-2012, Universite de Montreal"
__credits__ = ["<NAME>"]
__license__ = "3-clause BSD"
__maintainer__ = "LISA Lab"
__email__ = "<EMAIL>"
import numpy as N
np = N
from theano.compat.six.moves import xrange
from pylearn2.datasets import dense... |
import json
import six
from flask import Response, request
from flask.views import View
from werkzeug.exceptions import BadRequest, MethodNotAllowed
from graphql import Source, execute, parse, validate
from graphql.error import format_error as format_graphql_error
from graphql.error import GraphQLError
from graphql.e... |
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
import numpy as np
import scipy.sparse as sp
from sklearn.ensemble.forest import BaseForest
from sklearn.tree import DecisionTreeClassifier
from sklearn.utils import check_random_state, check_array
from sklea... |
#!/usr/bin/env python
"""
Uses the official Khronos-XML specs to generate a
Vulkan/GL/GLES/EGL/GLX/WGL Loader made for your needs.
Subcommands have additional help information, query with: `{subcommand} --help`
"""
from itertools import groupby
import logging
import os
import glad.files
from glad.config import Con... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import builtins
import os
import typing
from pathlib import Path
from shutil import copyfile
import pytest
from torch.utils.data import DataLoader, Dataset, IterableDataset
from combustion.data import SerializeMixin, TorchDataset
def check_file_exists(filepath):
__... |
# -*- coding: utf-8 -*-
# SPDX-License-Identifier: Apache-2.0
#
# The OpenSearch Contributors require contributions made to
# this file be licensed under the Apache-2.0 license or a
# compatible open source license.
#
# Modifications Copyright OpenSearch Contributors. See
# GitHub history for details.
#
# Licensed to ... |
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... |
import concurrent.futures
from pprint import pprint
from collections import Counter
some_primes = {2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47, 53,
59,61, 67, 71, 73, 79, 83, 89, 97, 101, 103, 107, 109, 113,
127, 131, 137, 139, 149, 151, 157, 163, 167, 173, 179, 181,
... |
from ..core import Source, log, utils
import re
import requests
re_extract_tartans = re.compile(
'<option\s+value="([^"]*)">([^<]*)',
re.IGNORECASE)
re_extract_palette = re.compile(
'^(([a-z]*#[0-9a-f]{6})*)(\[|\]|$)',
re.IGNORECASE
)
re_extract_warp = re.compile(
'\[(([a-z]+[0-9]+|\(|\))*)(\]|$)... |
from abc import ABCMeta, abstractmethod
from Banco.Erros import *
from Banco.Moeda import *
class ContaBancaria (metaclass=ABCMeta):
"""Classe abstrata da conta bancária"""
quantidade_contas = 0
@classmethod
def status_contas(cls):
return cls.quantidade_contas
@classmethod
def increm... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import rospy
import cv2
from cv_bridge import CvBridge, CvBridgeError
from sensor_msgs.msg import Image
from std_msgs.msg import Int32
import time
import numpy as np
from std_msgs.msg import UInt8
class DetectRed:
def __init__(self):
self.obj_buf = []
... |
# coding: utf-8
# In[ ]:
import os, cv2, keras
import numpy as np
from keras.models import Sequential
from keras.layers import Dense, Dropout, Flatten
from keras.layers import Conv2D, MaxPooling2D
# manipulate with numpy,load with panda
import numpy as np
import pandas as pd
# data visualization
import cv2
import... |
from __future__ import division
import time
import train
import option_parse
from numpy.random import uniform, randint, choice
import torch
from argparse import Namespace
def check_params(opts, prev_opts, mem_specific_stds):
stds = {'dropout': .02, 'lr': 10**-6, 'lr_decay': .1, 'start_decay_at': 5,
'i... |
import discord
import random
import sys
from functions import Functions
from trivia import Trivia
from discord.ext import commands
from discord.utils import get
bot = commands.Bot(command_prefix = '!')
functions = Functions()
trivia = Trivia()
@bot.event
async def on_message(message):
# Don't talk to yourself,... |
# Practical Machine learning
# Association rule based learning - fpgrowth example
# Chapter 7
# encoding: utf-8
"""
Testing code for the FP-growth implementation.
"""
import unittest
import fp_growth
from itertools import izip
class NodeTester(object):
def __init__(self, case, node):
self.case = case
... |
from __future__ import print_function
import numpy as np
import sys
import math
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.init import xavier_normal, xavier_uniform
from plyfile import (PlyData, PlyElement)
# --------------------------------
#... |
#!C:\Users\RIchardC\Documents\digitizePlots\venv\Scripts\python.exe
# Create Lyman/Fitz style long flat Design Files from plain-text onset files
# EKK / June 2015
# Python 2/3 compatibile, depends on Pandas and Numpy/Scipy
from __future__ import print_function
from pandas import concat, read_csv
from argparse import A... |
# -*- coding: utf-8 -*-
"""
Created on Tue Jan 25 20:45:38 2022
@author: Pena
There is a bag full of white balls.
Each ball has a fixed unknown chance to break when tested.
This program uses BAYESIAN INFERENCE to estimate the break rate.
From each test, it collects more evidence to update the probability
distribution ... |
from bs4 import BeautifulSoup
import requests
def get_page_number(content):
start_index = content.find('index')
end_index = content.find('.html')
page_number = content[start_index + 5: end_index]
return int(page_number) + 1
def craw_page(res, push_rate):
soup_ = BeautifulSoup(res.text, 'html.pa... |
#!/usr/bin/env python3
from django.shortcuts import render
from devnet2019.forms import NetFlowProtocol, NetFlowApplication
from devnet2019.models import NetflowClassicSeven, ApplicationMap, FieldTypeMap
from django.http import JsonResponse
from django.db.models import Count
def devnet_netflow(request): # 设备配置默认页面... |
#
# This source file is part of the EdgeDB open source project.
#
# Copyright 2016-present MagicStack Inc. and the EdgeDB 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... |
# Copyright (C) 2020 GreenWaves Technologies, SAS
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as
# published by the Free Software Foundation, either version 3 of the
# License, or (at your option) any later version.
# This progr... |
# Examples of GradCAM visualization
import numpy as np
import os
from tensorflow.keras.preprocessing import image
import argparse
import matplotlib.pyplot as plt
from matplotlib import cm
from vis.visualization import overlay
from utils import imgUtils, trainFeatures
import gc
"""Grad-CAM Visualization
This script wi... |
# -*- coding: utf-8 -*-
# Copyright 2022 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... |
import copy
import os
import random
import shutil
import numpy as np
import torch
from root import absolute
from torch import nn
"""
Some handy functions for model training ...
"""
def save_checkpoint(state,
is_best,
save_dirname="output",
save_filename... |
import csv
import gzip
from argparse import Namespace
import pytest
from piicatcher.explorer.databases import PostgreSQLExplorer
from tests.test_databases import pg_conn
@pytest.fixture
def load_sample_data_2():
connection = pg_conn()[1]
create_table = """
CREATE TABLE SAMPLE_2(
ID VARCH... |
#!/usr/bin/python2
# -*- coding: utf-8 -*-
#
# Policy generator
#
# AUTHORS
#
# The Veracruz Development Team.
#
# COPYRIGHT
#
# See the `LICENSE.markdown` file in the Veracruz root directory for licensing
# and copyright information.
import argparse
import subprocess
import datetime
import os.path
from os import path... |
# -*- coding: utf-8 -*-
import json
import os
import subprocess
from .logger import Logger
log = Logger()
class TmuxException(Exception):
pass
class Tmux(object):
"""
Tmux controller
"""
def command(self, cmd, formats=None, many=False):
"""
Send custom Tmux command and return ri... |
from __future__ import print_function
import argparse
import json
import sys
import time
import requests
import urllib.robotparser
from urllib.parse import urlparse
from requests.exceptions import Timeout
from pickle import NONE
def main():
"""
Check Seed URLs coming from the Commons Collection API.
Cycles... |
# A simple neural network which learns XOR using back propagation.
import random
from math import exp
# See wikipedia for the neural network structure
# http://en.wikipedia.org/wiki/Feedforward_neural_network
# http://en.wikipedia.org/wiki/File:XOR_perceptron_net.png
# Pitiful inline diagram:
# z-b3 ... |
# -*- coding: utf-8 -*-
"""
@date: 2020/4/11 下午2:41
@file: res_net.py
@author: zj
@description:
"""
import torch
import torch.nn as nn
from models.resnet.basic_block import BasicBlock
from models.resnet.basic_block_v2 import BasicBlock_v2
from models.resnet.bottleneck import Bottleneck
from models.resnet.bottleneck... |
import imghdr
from functools import partial
from pathlib import Path
from typing import Optional, Tuple, Union
import imagehash
import pandas as pd
from PIL import ExifTags, Image
from pandas_profiling.config import Settings
from pandas_profiling.model.summary_algorithms import (
describe_image_1d,
named_aggr... |
# Copyright © 2020 Interplanetary Database Association e.V.,
# Planetmint and IPDB software contributors.
# SPDX-License-Identifier: (Apache-2.0 AND CC-BY-4.0)
# Code is Apache-2.0 and docs are CC-BY-4.0
""" Script to build http examples for http server api docs """
import json
import os
import os.path
from planetmi... |
# coding=utf-8
# Copyright 2018 The Tensor2Tensor Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... |
"""Advent of Code 2018 Day 22."""
import heapq
ROCKY = '.'
WET = '='
NARROW = '|'
MOUTH = 'M'
TARGET = 'T'
NEITHER = 0
TORCH = 1
GEAR = 2
TYPE_TO_RISK = {
ROCKY: 0,
WET: 1,
NARROW: 2,
}
EROSION_TO_TYPE = {
0: ROCKY,
1: WET,
2: NARROW
}
MOVES = (
(1, 0),
(0, 1),
(-1, 0),
(0, -... |
import numpy as np
import cv2
import torch
import torch.nn as nn
from torch.autograd import Variable
from torch.nn import functional as F
class VanillaGrad(object):
def __init__(self, pretrained_model, cuda=False):
self.pretrained_model = pretrained_model
self.features = pretrained_model.children(... |
import torch
import numpy as np
from torch import nn
device = "cuda" if torch.cuda.is_available() else "cpu"
class ResAttentionBlock(nn.Module):
def __init__(self, dim: int, n_heads: int, attention_mask: torch.Tensor = None):
super().__init__()
self.attention_mask = attention_mask
self.multihead_attenti... |
# Copyright 2018-2019 QuantumBlack Visual Analytics Limited
#
# 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
#
# THE SOFTWARE IS PROVIDED "AS IS"... |
# Copyright 2021 The FastEstimator 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 appl... |
#!/usr/bin/env python3
###############################################################################
# Module Imports
###############################################################################
import arrow
import functools
import logbook
import pyscp
import re
import yaml
from . import ext, lex
#############... |
import os
import struct
import torch.utils.data
import torchvision
import torchvision.datasets as datasets
import torchvision.transforms as transforms
from dcp.utils.sampler import *
def get_cifar_dataloader(dataset, batch_size, n_threads=4, data_path='/home/dataset/', logger=None):
"""
Get dataloader for c... |
import asyncio
import json
import logging
from random import random
from typing import List, Union, Dict, Callable, Awaitable
from enum import Enum
from shortid import ShortId
import websockets as ws
class SubscribeCategory(str, Enum):
account = 'subscribeToAccounts'
accounts = 'subscribeToAccounts'
mark... |
import logging
import random
import re
from django.conf import settings
from django.contrib.sites.models import Site
from django.core.exceptions import MiddlewareNotUsed
from django.http import JsonResponse
from django.template.response import TemplateResponse
from django.utils import timezone
from django.utils.functi... |
# -*- coding: utf-8 -*-
"""
Functions to apply the energy lowerinf distortion found for a certain charge state of a defect \
to the other charge states.
"""
import numpy as np
import os
from ase.io.vasp import read_vasp, write_vasp
from pymatgen.io.ase import AseAtomsAdaptor, Structure
from pymatgen.core... |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the Apache 2.0 License.
from enum import Enum
import infra.proc
import infra.proposal
import infra.crypto
import ccf.clients
import http
import os
import base64
import json
from loguru import logger as LOG
class NoRecoveryShareFound(Except... |
"""
Slack chat-bot Lambda handler.
"""
import boto3
import collections
import json
import logging
import os
import random
import re
import string
from urllib.parse import parse_qs
import slack
DEFAULT_LOG_LEVEL = logging.DEBUG
LOG_LEVELS = collections.defaultdict(
lambda: DEFAULT_LOG_LEVEL,
{
"critica... |
# coding: utf-8
import ansible.runner
import ansible.inventory
from parkworker.task_processor import TaskResult
from parkworker.monit import Monit
from parkworker import const
from parkworker2.base import AnsibleMixin
class ParseStdoutException(Exception):
pass
class PingMonit(AnsibleMixin, Monit):
name = ... |
import glob
import json
import os
import shutil
import operator
import sys
import argparse
import math
import cv2
import numpy as np
MINOVERLAP = 0.5 # default value (defined in the PASCAL VOC2012 challenge)
parser = argparse.ArgumentParser()
parser.add_argument('-na', '--no-animation', help="no animation is shown."... |
import cv2
H_MIN = 0
H_MAX = 255
S_MIN = 0
S_MAX = 255
V_MIN = 0
V_MAX = 255
#default capture width and height
FRAME_WIDTH = 640
FRAME_HEIGHT = 480
#max number of objects to be detected in frame
MAX_NUM_OBJECTS=50
#minimum and maximum object area
MIN_OBJECT_AREA = 20*20
MAX_OBJECT_AREA = FRAME_HEIGHT*FRAME_WIDTH/1.5
... |
import abc
import logging
from distutils.version import StrictVersion
from acconeer.exptool import SDK_VERSION, modes
from acconeer.exptool.structs import configbase
log = logging.getLogger(__name__)
class BaseClient(abc.ABC):
@abc.abstractmethod
def __init__(self, **kwargs):
self.squeeze = kwargs.... |
import metric_constant as c
import collections
class Type(object):
def __init__(self, id, type, long_name):
self.__id = id
self.__type = type
self.__long_name = long_name
@property
def id(self):
return self.__id
@property
def type(self):
retur... |
# Copyright (c) 2020 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... |
"""
===============================================
vidgear library source-code is deployed under the Apache 2.0 License:
Copyright (c) 2019 <NAME>(@abhiTronix) <<EMAIL>>
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may ob... |
#!/usr/bin/env python3
USER_AGENT = 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_0) AppleWebKit/537.36 (KHTML, like Gecko) ' \
'Chrome/77.0.3865.120 Safari/537.36'
def get_hex_digest(value: str) -> str:
import hashlib
m = hashlib.sha256()
m.update(value.encode())
return m.hexdigest()
... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
from additional_urwid_widgets.widgets.time_picker import TimePicker
from additional_urwid_widgets.widgets.selectable_row import SelectableRow
from datetime import datetime
import urwid
# Color schemes that specify the appearance off focus and on focus.
PALETTE = [("r... |
from core.advbase import *
from pprint import pprint
class Sylas(Adv):
def prerun(self):
self.s2_states = {(None, None, None): 1}
self.combined_states = None
self.dmg_test_event = Event("dmg_formula")
self.dmg_test_event.dmg_coef = 1
self.dmg_test_event.dname = "test"
... |
import datetime
import logging
import sys
import traceback
from celery import task
from multidb.pinning import pin_this_thread, unpin_this_thread
from django_statsd.clients import statsd
from kitsune.search.es_utils import index_chunk, UnindexMeBro, write_index, get_analysis
from kitsune.search.utils import from_clas... |
# This is a part of the experimental Interactive Data Visualization
import os
import cyglfw3 as glfw
import numpy as np
import OpenGL.GL as GL
from yt import write_bitmap
from .input_events import EventCollection, MouseRotation
class EGLRenderingContext:
"""Rendering context using EGL (experimental)
Param... |
# Copyright (c) 2019, Danish Technological Institute.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
# -*- coding: utf-8 -*-
""" Command to get diff between two or three experiments or trials
"""
# diff -ru [F... |
"""A model-based algorithm for the realignment of dMRI data."""
from pathlib import Path
from tempfile import TemporaryDirectory, mkstemp
from pkg_resources import resource_filename as pkg_fn
from tqdm import tqdm
import numpy as np
import nibabel as nb
import nitransforms as nt
from nipype.interfaces.ants.registration... |
import os, discord
from attendance import Member, conn, table_init, get_all_attendance_info, scoreboard
from datetime import datetime, timedelta
from discord.ext import commands
import logging
import asyncio
import pytz
from config import timezone
logger = logging.getLogger(__name__)
lock = asyncio.Lock()
async def p... |
#!/usr/bin/env python
"""
Use the PyZ3950 zoom & marc scripts to:
-run a Z39.50 query
-save the results to a set of files
-parse the Author from the saved results files
PyZ3950 <http://www.pobox.com/~asl2/software/PyZ3950/>
is part of <NAME>'s Tyrannioware
<http://www.pobox.com/~asl2/software/Tyrannio/>
This example c... |
# ----------------------------------------------------------------------------
# PyWavefront
# Copyright (c) 2018 <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... |
# Copyright (c) OpenMMLab. All rights reserved.
from unittest.mock import MagicMock, patch
import pytest
import torch
import torch.nn as nn
from torch.nn.parallel import DataParallel, DistributedDataParallel
from mmcv.parallel import (MODULE_WRAPPERS, MMDataParallel,
MMDistributedDataParall... |
# -*- coding: utf-8 -*-
# Copyright 2015 www.suishouguan.com
#
# Licensed under the Private License (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://github.com/samuelbaizg/ssguan/blob/master/LICENSE
#
# Unless ... |
#-*- coding:utf-8 -*-
import os
import argparse
import numpy as np
import time
import sys
import argparse
import paddle
import paddle.fluid as fluid
import cv2
from collections import Counter
from models.unet import unet
from models.PAN import pannet
from models.dense_unet import dense_unet
from models.multires_unet i... |
# PROJECT LONGBOW
# AWS LAMBDA WORKER NODE FOR TRANSMISSION BETWEEN AMAZON S3
import json, os, urllib, ssl, logging
import boto3
from s3_migration_lib import step_function, step_fn_small_file
from botocore.config import Config
from pathlib import PurePosixPath
import urllib.request
import urllib.parse
# 环境变量
table_qu... |
import csv
import re
import unicodedata
import difflib
from Levenshtein import distance
def normalize_unicode_to_ascii(data):
normal = unicodedata.normalize('NFKD', data).encode('ASCII', 'ignore')
val = normal.decode("utf-8")
val = val.lower()
# remove special characters
val = re.sub('[^a-z0-9 ]+'... |
#!/usr/bin/env python3
# Copyright 2020 The gRPC Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... |
import sys
import math
import time
import collections.abc
import numpy as np
import sympy as sp
class CoordFrame(collections.abc.Sequence):
def __init__(self, labels):
self._data = list(labels)
def __len__(self):
return len(self._data)
def __getitem__(self, key):
return self._data[key]
def slice_ar... |
import torch
from torch import nn
import FrEIA.modules as Fm
import torch.nn.functional as F
from torch.distributions.normal import Normal
import torch.distributions as dist
from nflows.utils import sum_except_batch
from einops import repeat
import numpy as np
from src.models.layers.mixtures.mixture_gaussian import ini... |
#!/usr/bin/python
# encoding: utf-8
import random
import torch
from torch.utils.data import Dataset
from torch.utils.data import sampler
import torchvision.transforms as transforms
import lmdb
import six
import sys
from PIL import Image, ImageOps
import numpy as np
import h5py
class THUCNewsDataset(Dataset):
'''... |
#!/usr/bin/env python
# -*- coding: utf8 -*-
import sys
import os
from xml.etree import ElementTree
from xml.etree.ElementTree import Element, SubElement
from lxml import etree
import codecs
from libs.constants import DEFAULT_ENCODING
TXT_EXT = '.txt'
ENCODE_METHOD = DEFAULT_ENCODING
class YOLOWriter:
def __init... |
import colorsys
from braindecode.datasets.base import BaseConcatDataset
import matplotlib as mpl
from matplotlib.colors import LinearSegmentedColormap
from matplotlib.lines import Line2D
from matplotlib.collections import LineCollection
import matplotlib.pyplot as plt
import numpy as np
from sklearn.decomposition impo... |
import collections
import os
from strictdoc.helpers.sorting import alphanumeric_sort
class FileOrFolderEntry:
def get_full_path(self):
raise NotImplementedError
def get_level(self):
raise NotImplementedError
def is_folder(self):
raise NotImplementedError
def mount_folder(se... |
# ============LICENSE_START=======================================================
# org.onap.dcae
# ================================================================================
# Copyright (c) 2017 AT&T Intellectual Property. All rights reserved.
# ==================================================================... |
"""
NiceHash API interface
References:
- https://docs.nicehash.com/main/index.html
- https://github.com/nicehash/rest-clients-demo/blob/master/python/nicehash.py
"""
from datetime import datetime
from hashlib import sha256
import hmac
import httpx
import json
import logging
import re
import sys
from time import mkti... |
# Copyright (C) 2021 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wri... |
# 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
# d... |
import sublime
import sublime_plugin
if sublime.version() < '3000':
# we are on ST2 and Python 2.X
_ST3 = False
from latextools_utils import settings, tex_directives
from getTeXRoot import get_tex_root
else:
_ST3 = True
from .latextools_utils import settings, tex_directives
from .getTeXRoot... |
import io
import string
import mt940
from pretix.base.decimal import round_decimal
"""
The parse_transaction_details and join_reference functions are
Copyright (c) 2017 <NAME>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Softw... |
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