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# Copyright [2020] [Indian Institute of Science, Bangalore]
# SPDX-License-Identifier: Apache-2.0
import cv2
from datetime import datetime
import numpy as np
import os
from PIL import Image
from pptx import Presentation
from pptx.enum.shapes import MSO_SHAPE_TYPE
from pptx.util import Inches
def read_img_file(file_lo... |
from __future__ import print_function
import numpy as np
import torch
import torch.nn.init
import torch.nn as nn
# ducha-aiki
# /
# LSUV-pytorch github
gg = {}
gg['hook_position'] = 0
gg['total_fc_conv_layers'] = 0
gg['done_counter'] = -1
gg['hook'] = None
gg['act_dict'] = {}
gg['counter_to_apply_correction'] = 0
gg... |
# -*- coding: utf-8 -*-
# Created by richie at 2018/11/23
import requests
from lxml import html as hl
import json
import re
BASE_DIMAIN = "http://www.ygdy8.net" # 定义基础域名
HEADERS = {
"Referer": "http://www.ygdy8.net/html/tv/oumeitv/list_9_1.html",
"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_14_1... |
import os
import sys
import warnings
from collections import defaultdict
from copy import deepcopy
from typing import Dict, Optional, Tuple
import numpy as np
import torch
from loguru import logger
from torch.types import Number
from df.modules import GroupedLinearEinsum
from df.utils import get_branch_name, get_comm... |
"""
bdosoa - SOAP processing routines
"""
import logging
import urllib2
from lxml import etree
from lxml.builder import ElementMaker
#
# XML
#
SOAP_ENV_NS = 'soapenv'
SOAP_ENV_URI = 'http://schemas.xmlsoap.org/soap/envelope/'
SOAP_NSMAP = {
SOAP_ENV_NS: SOAP_ENV_URI,
'xsi': 'http://www.w3.org/2001/XMLSche... |
#!/usr/bin/python3
import argparse
import json
import logging
import time
import openshift as oc
from openshift import OpenShiftPythonException
logging.basicConfig(level=logging.INFO, format='[%(asctime)s] %(message)s')
logger = logging.getLogger('releaseTool')
SUPPORTED_PRODUCTS = ['ocp', 'okd']
SUPPORTED_ARCHITEC... |
"""
This is the GPU implementation of regular CPAC-CNN model using pytorch.
python train_mnist.py [number of filters] [filter_size] [rank] [epochs] [device]; python train_mnist.py 8 3 6 10 cuda:0
"""
import torch
import torchvision
from torch import nn
import torch.nn.functional as F
import torch.optim as optim
from ... |
class HashTableEntry:
"""
Linked List hash table key/value pair
"""
def __init__(self, key, value):
self.key = key
self.value = value
self.next = None
# Hash table can't have fewer than this many slots
MIN_CAPACITY = 8
class HashTable:
"""
A hash table that with `capa... |
import pytest
import struct, py, sys
from jitlog.objects import (FlatOp, TraceForest, Trace,
MergePoint, iter_ranges, PointInTrace)
from jitlog import constants as const
from vmlog.views import (LogMetaSerializer, TraceSerializer,
VisualTraceTreeSerializer)
PY3 = sys.version_info[0] >= 3
def test_to_j... |
from _collections import deque
import gc
#from AppTestW_IterObjectApp
def test_user_iter():
class C(object):
def __next__(self):
raise StopIteration
def __iter__(self):
return self
assert list(C()) == []
def test_iter_getitem():
class C(object):
def __getit... |
# Copyright 2021 MosaicML. All Rights Reserved.
from __future__ import annotations
import logging
from dataclasses import asdict, dataclass
from functools import partial
from typing import Optional, Tuple
import torch
import torch.nn.functional as F
import yahp as hp
from torchvision import transforms
from composer... |
import logging
from django.http import Http404, HttpResponseRedirect
from django.shortcuts import get_object_or_404
from django.views.generic import FormView
from django.views.generic.detail import SingleObjectMixin
from djadyen import settings
from .choices import Status
from .forms import PaymentForm
from .hpp imp... |
from decimal import Decimal
from enum import Enum
from typing import Optional, List, Dict
from rest_framework.request import Request
from rest_framework.response import Response
from elasticsearch_dsl import A, Q as ES_Q
from usaspending_api.common.cache_decorator import cache_response
from usaspending_api.common.ela... |
from abc import abstractmethod
from itertools import combinations
from tqdm import tqdm
import numpy as np
from pgmpy.models import BayesianModel
class BaseEliminationOrder:
"""
Base class for finding elimination orders.
"""
def __init__(self, model):
"""
Init method for the base cl... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2020, CTERA Networks Ltd.
# 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
ANSIBLE_METADATA = {
'metadata_version': '1.1',... |
import json
__author__ = 'eric.r'
SERVER_VERSION = '6.3.0'
import re
from zipfile import ZipFile
from io import BytesIO
import urllib.request, urllib.error
def urlencode(s):
return s.replace('+', '%2B').replace('/', '%2F').replace('=', '%3D')
class QualiAPIClient(object):
def __init__(self, ip, port, usern... |
'''
Created on 2015-7-12
@author: livepc
'''
import datetime
import math
import config
def distanceOfTwoDay(date1, date2):
listdate1 = str(date1).split('-')
listdate2 = str(date2).split('-')
d1 = datetime.datetime(int(listdate1[0]), int(listdate1[1]), int(listdate1[2]))
d2 = datetime.da... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 16 10:36:56 2021
@author: <NAME> <<EMAIL>>
This script will upload data into smarter database starting from a couple of
MAP/PED (plink) files and the archive file used for the dataset upload in the
smarter database. Dataset country and species are ... |
from django.contrib import admin
from django.contrib.admin import SimpleListFilter
from django.db import transaction
from django.utils import timezone
from clist.models import Banner, Contest, Problem, ProblemTag, Resource, TimingContest
from pyclist.admin import BaseModelAdmin, admin_register
from ranking.management.... |
''' Signal processing elements '''
import numpy as np
from ..segments import Segment, SegmentCircle, SegmentText
from ..elements import Element
class Square(Element):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.segments.append(Segment([[0, 0], [0, .5], [1, .5],
... |
#!/usr/bin/env python
"""Get new files using sftp from a project server
Usage:
dm-sftp.py [options] <study>
Arguments:
<study>: Short name of the study to process
Options:
-h --help Show this screen.
-q --quiet Suppress output.
-v --verbose Sho... |
from happytransformer import (
HappyGeneration,
ARGS_GEN_TRAIN,
ARGS_GEN_EVAl,
GENSettings,
GENTrainArgs,
GENEvalArgs
)
from tests.shared_tests import run_save_load
def test_default_simple():
happy_gen = HappyGeneration()
args = GENSettings(min_length=5, max_length=5)
output = happ... |
import json
import pandas as pd
from functools import partial
from datetime import datetime
from bs4 import BeautifulSoup
to_datetime = partial(pd.to_datetime, format="%d-%m-%Y")
def to_price(price): return price/10
def identity(i):
return i
def to_numeric_float(series):
try:
if not series.empty... |
from bisect import bisect_right, bisect_left
import numpy as np
from metrics.classification_metric import ClassificationMetric
class HoppingWindow(ClassificationMetric):
__abbrev__ = "Hop. Window"
__parts__ = 10
__steps__ = 6 # 2, 12, ..., 52
def __init__(self, parts=__parts__):
super().__i... |
# These are the libraries will be used for this lab.
# Using the following line code to install the torchvision library
# !conda install -y torchvision
import torch
import torch.nn as nn
import torchvision.transforms as transforms
import torchvision.datasets as dsets
import torch.nn.functional as F
import matplotlib.... |
# -*- coding: utf-8 -*-
import backports.lzma as lzma
import os
import random
import string
import tarfile
import base
from docker_registry.lib import layers
from docker_registry import storage
from docker_registry.core import compat
json = compat.json
StringIO = compat.StringIO
# from mock import patch
# from moc... |
import os
import argparse
import torch
import torchvision
import torchvision.transforms as transforms
import numpy as np
from simclr import SimCLR
from simclr.modules import LogisticRegression, get_resnet
from simclr.modules.transformations import TransformsSimCLR
from utils import yaml_config_hook
def inference(lo... |
import torch
import numpy as np
from pathlib import Path
from torch.utils.data import Dataset, DataLoader
from matplotlib import colors, pyplot as plt
from numpy.fft import rfft, irfft
from scipy.io import wavfile
import torchaudio
# Set Audio backend as Sounfile for windows and Sox for Linux
torchaudio.set_audio_... |
"""Provides connection to SQLite extended with UDFs needed by Logica."""
import csv
import io
import sys
import sqlite3
import heapq
import json
def DeFactoType(value):
if isinstance(value, int) or isinstance(value, float):
return 'number'
else:
return 'string'
class ArgMin:
"""ArgMin user defined aggr... |
# 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 agreed to in writing, ... |
# Copyright 2021 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... |
import asyncio
import logging
import traceback
from discord.ext import commands
from .bilibili_api import NotBilibiliVideo
from .bilibili_downloader import BilibiliVideo
logger = logging.getLogger(__name__)
class VoiceEntry:
def __init__(self, message, player):
self.requester = message.author
sel... |
from collections import defaultdict
from typing import Any, DefaultDict, Dict, List, Set
import bokeh.io
import bokeh.plotting
import numpy as np
from bokeh.layouts import column, LayoutDOM
from bokeh.models import CustomJS, HoverTool, Slider
from bokeh.plotting import ColumnDataSource
from l5kit.visualization.visual... |
from typing import List
import torch
import torch.nn as nn
import torch.nn.functional as F
from models.scene_seg_PAConv.lib.pointops.functions import pointops
from models.scene_seg_PAConv.util import block
class _PointNet2SAModuleBase(nn.Module):
def __init__(self):
super().__init__()
self.npoin... |
import numpy as np
import itertools
import matplotlib.pyplot as plt
import csv
import sys
import math
import geopy.distance
def create_nodes_array(N, seed=None):
"""
Creates array of random points of size N.
"""
if seed:
print("seed", seed)
np.random.seed(seed)
nodes_list = []
... |
# encoding: utf-8
# gen_attack.py
"""
Implementation of GenAttack from https://arxiv.org/abs/1805.11090 for Machines Can See contest
(https://competitions.codalab.org/competitions/19090#learn_the_details) held by organizers of
Machines Can See 2018 (http://machinescansee.com/)
"""
import numpy as np
import torch
import... |
from __future__ import unicode_literals
import re
from .amp import AMPIE
from .common import InfoExtractor
class FoxNewsIE(AMPIE):
IE_NAME = 'foxnews'
IE_DESC = 'Fox News and Fox Business Video'
_VALID_URL = r'https?://(?P<host>video\.(?:insider\.)?fox(?:news|business)\.com)/v/(?:video-embed\.html\?vide... |
#
# 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 License, Version 2.0
# (the "License"); you may not us... |
#!/usr/bin/python
#
import argparse
import collections
import io
import json
import re
import subunit
import testtools
class UrlParser(testtools.TestResult):
uuid_re = re.compile(r'(^|[^0-9a-f])[0-9a-f]{8}-[0-9a-f]{4}-[0-9a-f]{4}-'
'[0-9a-f]{4}-[0-9a-f]{12}([^0-9a-f]|$)')
id_re = r... |
from typing import Dict, Union, Any, Optional
import lightgbm as lgb
import numpy as np
import pandas as pd
from lightgbm import Booster, LGBMClassifier
from pandas import DataFrame
from titania.trainers.generic_managers import BaseModelManager
class LightGBMTrainingManager(BaseModelManager):
"""
Training m... |
# Copyright (c) 2015-2020 by the parties listed in the AUTHORS file.
# All rights reserved. Use of this source code is governed by
# a BSD-style license that can be found in the LICENSE file.
import os
import sys
import itertools
import numpy as np
from ._libtoast import Logger
from .pshmem import MPIShared, MPILo... |
import scrapy
from scrapy.spiders import CrawlSpider, Rule
from scrapy.linkextractors import LinkExtractor
from GitClosedPRWebCrawler.items import GitItem
import csv
import json
from collections import defaultdict
####################################
#### REMOVE BLANK LINES FROM CSV ###
###############################... |
#!/usr/bin/env python3
import re
import sys
import argparse
import pprint
from nrf5_cmake.library_description import LibraryDescription
from nrf5_cmake.library_operations import libraries_load_from_file, libraries_save_to_file
from nrf5_cmake.example_operations import library_from_example, examples_load_from_file
fro... |
#!/usr/local/bin/python3
'''
This is the version of using Tensorflow Dataset, instead of Tensorflow Queue, which is referred to tensorflow-wavenet repo.
'''
import sys
import os
import tensorflow as tf
import abc # use abc module to implement abstract class attribute
import librosa
import fnmatch
import re
import num... |
import os
import asyncio
from uuid import uuid4
from typing import List
from inspect import isclass
from pydantic import BaseModel
import jsonsh.aiojson as aiojson
class Instance:
def __init__(self, folder, *, cache_state=False, cache_capacity=100):
self.main_folder = folder
aiojson.setcache(on=ca... |
# -*- coding: utf-8 -*-
"""
CIRpy
Python interface for the Chemical Identifier Resolver (CIR) by the CADD Group at the NCI/NIH.
https://github.com/mcs07/CIRpy
"""
import os
from six.moves import urllib
from xml.etree import ElementTree as ET
__author__ = '<NAME>'
__email__ = '<EMAIL>'
__version__ = '1.0'
__license... |
import numpy as np
from datetime import datetime as dt
from solver import Solver
from cube import Cube
import algorithms.tools as tl
def analyze_cross(perm):
cube = Solver(perm)
n = 0
lens, times, = np.empty(6), np.empty(6)
opens, closeds = np.empty(6), np.empty(6)
rotations = {(0, 0, -1): "x", ... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... |
# SPDX-License-Identifier: Apache-2.0
#
# http://nexb.com and https://github.com/nexB/scancode.io
# The ScanCode.io software is licensed under the Apache License version 2.0.
# Data generated with ScanCode.io is provided as-is without warranties.
# ScanCode is a trademark of nexB Inc.
#
# You may not use this software ... |
"""General interface of the visualization building blocks"""
import itertools
import logging
from typing import List
import torch
from torch import Tensor
import midnite
from ..base.interface import LayerSplit
from ..base.interface import NeuronSelector
log = logging.getLogger(__name__)
class Identity(LayerSplit):... |
import os
from tkinter import *
from utility.io_utils import read_pdf_and_docx
sys.path.append(os.path.join(os.path.dirname(__file__), '..'))
line_labels = {0: 'experience', 1: 'skills', 2: 'education', 3: 'project', 4: 'others', 5: 'language'}
class AnnotatorGui(Frame):
def __init__(self, master, table_content... |
# Copyright (C) 2017-2019 New York University,
# University at Buffalo,
# Illinois Institute of Technology.
#
# 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 th... |
from __future__ import unicode_literals
import django
from django.core.exceptions import ImproperlyConfigured
from django.db import models, transaction, router
from django.db.models.signals import post_save, pre_save
from django.utils.translation import ugettext_lazy as _
from model_utils.fields import (
AutoCrea... |
# -*- coding: utf-8 -*-
###############################################################################
# $Id$
#
# Project: MapServer
# Purpose: Test harnass for testing via Python MapScript.
# Author: <NAME>, <EMAIL>
#
###############################################################################
# Copyright (c)... |
# coding: utf-8
#
# Copyright 2020 The Oppia 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 requi... |
import math
import torch
from torch import nn
class RCNNCell(nn.Module):
"""
RCNN Cell
Used in "Rationalizing Neural Predictions" (Lei et al., 2016)
This is the bigram version of the cell.
"""
def __init__(self, input_size, hidden_size):
"""
Initializer.
:param input_s... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
# -*- coding: utf-8 -*-
"""
Created on Thu May 14 19:42:09 2020
@author: rishi
"""
# import the usual resources
import matplotlib.pyplot as plt
import numpy as np
# import utilities to keep workspaces alive during model training
# watch for any changes in model.py, if it changes, re-load it automatic... |
"""
Small Domain Mapper testing app
"""
import logging
from flask import Flask, request
from flask_restplus import Api, Resource
from domain_mapper import DomainMapper
app = Flask(__name__)
api = Api(app)
m = DomainMapper(api)
# configure logging
format_str = "[%(levelname)7s: %(asctime)s] %(message)s"
logging.basic... |
__dosya__ = "veriler.txt"
# 170401062 Yiğit
# Dosya çalıştığında aşağıdaki main() fonskiyonu çalışır.
def main():
cevaplar = list()
veriler = verileriOku()
print('Soru 1e geçiliyor...')
yaklastir(1, veriler, cevaplar)
yaklastir(2, veriler, cevaplar)
yaklastir(3, veriler, cevaplar)
yaklas... |
#!/usr/bin/env python
# coding: utf-8
from astropy.coordinates import SkyCoord
from astroquery.ned import Ned
from astroquery.exceptions import RemoteServiceError
from astropy import units as u
from nuztf.ampel_api import ampel_api_catalog, ampel_api_name
def query_ned_for_z(
ra_deg: float, dec_deg: float, searc... |
# Copyright (c) 2014 Catalyst IT Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy
# of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... |
#!/usr/bin/env python
"""Provide a command line tool to validate and transform tabular samplesheets."""
import os
import sys
import errno
import argparse
import pandas as pd
def parse_args(args=None):
Description = "Reformat nf-core/metapep samplesheet file and check its contents."
Epilog = "Example usage:... |
from qqbot.utf8logger import DEBUG
from qqbot import qqbotsched
from random import choice
from abotcommon import Context,send
from abotcmd import toolProcess
import re
import datetime
def onStartupComplete(bot):
glist = bot.List('group', ':like:Android')
for g in glist:
bot.SendTo(g,'QQBot被神秘力量复活，复活时间：... |
# Copyright 2021 The Kubric 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 law or agreed to in w... |
# Copyright 2013 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import BaseHTTPServer
import os
import threading
class Responder(object):
"""Sends a HTTP response. Used with TestWebServer."""
def __init__(self, han... |
from __future__ import annotations
import datetime
import typing
from math import radians, pi
import numpy as np
from scipy.optimize import root_scalar
from .core import BasicPassInfo, PassType
from .functions import make_utc, visual_pass_details
from .._time import datetime2mjd
from ..constants import R_EARTH
from .... |
#!/usr/bin/env python3
# encoding: utf-8
"""Format the ill-formatted code."""
## ==============================================
## GOAL : Format code, Update headers
## ==============================================
import argparse
import logging
import os
import re
import sys
import datetime
import subprocess
from f... |
from celescope.tools.utils import add_log, parse_match_dir
import pysam
import os
import pandas as pd
import editdistance
parentDir = os.path.dirname(__file__)
def read_mut(mut_file):
mut_dic = {}
df = pd.read_csv(mut_file, sep="\t")
def convert_row(row):
gene = row["gene"]
mut_type = ro... |
""" run decoding of rnn-ext + abs + RL (+ rerank)"""
import argparse
import json
import os
from os.path import join
from datetime import timedelta
from time import time
from collections import Counter, defaultdict
from itertools import product
from functools import reduce
import operator as op
from cytoolz import iden... |
#
# ovirt-engine-setup -- ovirt engine setup
# Copyright (C) 2013-2015 Red Hat, 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
#
# Unl... |
import sys
import random
class Point():
def __init__(self, x, y):
self.x = int(x)
self.y = int(y)
def printPoint(self):
return "("+str(self.x)+", "+str(self.y)+")"
class Board():
def __init__(self):
self.NONE, self.X, self.O = 0, 1, 2
self.game =[[0,0,0] for _ in ra... |
"""
Author : <NAME> : Automatic licence plate detection and recognition
"""
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.externals import joblib
from matplotlib import pyplot as plt
import scipy.ndimage
import numpy as np
import cv2
import os
d... |
import itertools
import json
import logging
import os
import random
import runpy
import time
from typing import Any, Dict, Optional, Union
import numpy as np
import sqlalchemy as sa
import torch
import torch.nn as nn
import torch.onnx
import torch.optim as optim
import pagnn.models
from pagnn import init_gpu, setting... |
import csv
import clcert_chachagen
import json
import requests
import io
import argparse
import hmac
import hashlib
import datetime
def esc(code):
return f'\033[{code}m'
def format_date(s):
date = datetime.datetime.strptime(s, '%Y-%m-%dT%H:%M:%S.000Z')
return date.strftime('%d/%m/%Y %H:%M:%S UTC')
par... |
import difflib
import re
from regparser.layer.graphics import Graphics
from regparser.tree import struct
INSERT = 'insert'
DELETE = 'delete'
REPLACE = 'replace'
EQUAL = 'equal'
def hash_nodes(reg_tree):
""" Create a hash map to the nodes of a regulation tree. """
tree_hash = {}
def per_node(node):
... |
# coding: utf-8
# Copyright (c) Scanlon Materials Theory Group
# Distributed under the terms of the MIT License.
"""
Module providing helper functions for generating k-points along a path.
"""
import sys
import logging
def get_path_data(structure, mode='bradcrack', symprec=0.01, spg=None,
line_dens... |
import hashlib
import secrets
import urllib.parse as urllib
from django.contrib.auth.models import User
from django.db import models
from django.core import validators, exceptions
from django.db.models.query import Q
from django.utils import timezone
from assets.models import Asset, VisualAsset
# extension to djang... |
import torch
from torch import nn
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from modules.config import AppConfig
from modules.hopfieldlayers import Hopfield, HopfieldPooling, HopfieldLayer
from modules.utils.pad_sequences import get_seq_length_from_padded_seq
class HopfieldLayerModel(n... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os, argparse
import numpy as np
import xml.etree.ElementTree as ET
from tqdm import tqdm
from collections import OrderedDict
sets=[('2007', 'train'), ('2007', 'val'), ('2007', 'test'), ('2012', 'train'), ('2012', 'val')]
classes = ["aeroplane", "bicycle", "bird", "... |
import time
from threading import Event, Thread
from donkey_gym.envs.vae_env import DonkeyVAEEnv
from stable_baselines.common.vec_env import DummyVecEnv, VecNormalize, \
VecFrameStack
from stable_baselines.bench import Monitor
from donkeycar.parts.controller import PS3JoystickController
from config import ... |
# Import necessary libraries
from random import shuffle
class Suit:
"Defines the unicode character for each suit: heart, club, diamond, spade."
def __init__(self):
"Initialize a new object with suit attributes."
self.create_suits()
def create_suits(self):
"Create attributes to a... |
"""
collection of utility functions
"""
# Copyright (c) 2011 Yubico AB
# See the file COPYING for licence statement.
import struct
__all__ = [
# constants
# functions
'hexdump',
'group',
'key_handle_to_int',
# classes
]
import pyhsm.exception
def hexdump(src, length=8):
""" Produce a st... |
"""
Copyright (c) 2016-2020 The scikit-optimize developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of cond... |
"""
Programmer: <NAME>
Purpose: Implementing the NMF techniques in [1], as well as
plotting utilities
[1] Driedger, Jonathan, <NAME>, and <NAME>.
"Let it Bee-Towards NMF-Inspired Audio Mosaicing." ISMIR. 2015.
"""
import numpy as np
import scipy.io as sio
import scipy.ndimage
import matplotlib.pyplot as plt
import ti... |
# -*- mode: python; encoding: utf-8 -*-
#
# Copyright 2014 the Critic contributors, Opera Software ASA
#
# 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/LI... |
"""
API request handlers for managing and querying HMM data.
"""
import aiohttp
from aiohttp.web_exceptions import (
HTTPBadGateway,
HTTPBadRequest,
HTTPConflict,
HTTPNoContent,
)
from aiohttp.web_fileresponse import FileResponse
import virtool.hmm.db
from virtool.api.response import NotFound, json_re... |
import glob
import itertools
import logging
import os
import re
import click
import numpy as np
import pandas as pd
import pyspiel
from open_spiel.python import rl_agent, rl_environment
from open_spiel.python.policy import TabularPolicy, tabular_policy_from_policy
def tabular_policy_from_csv(game, filename):
cs... |
#<pycode(py_typeinf)>
import ida_idaapi
ida_idaapi._listify_types(
reginfovec_t)
#</pycode(py_typeinf)>
#<pycode_BC695(py_typeinf)>
BFI_NOCONST=0
BFI_NOLOCS=0
NTF_NOIDB=0
PRVLOC_STKOFF=PRALOC_VERIFY
PRVLOC_VERIFY=PRALOC_STKOFF
TERR_TOOLONGNAME=TERR_WRONGNAME
@bc695redef
def add_til(name, flags=0):
return _id... |
# Copyright (c) 2022, 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
#
# Unless required by appli... |
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# @Author: oesteban
# @Date: 2016-01-05 11:29:40
# @Email: <EMAIL>
# @Last modified by: oesteban
""" Visualization interfaces """
from __future__ import ... |
import frappe
from frappe.model.document import run_webhooks
from latte.model.document import get_controller
from functools import wraps
from latte.utils.caching import cache_in_mem, cache_me_if_you_can
import sys
from frappe import local
class Registry(object):
@staticmethod
def generate_handler(doctype, event):
... |
"""
ddupdate plugin updating data on cloudflare.com.
See: ddupdate(8)
See: https://api.cloudflare.com
"""
REQUESTS_NOT_FOUND = """
The Cloudflare plugin uses the python3-requests package which cannot be found.
Please install python-requests or python3-requests. Giving up.
"""
try:
from requests import Request,... |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2020-2021 TU Wien.
#
# Invenio-Utilities-TUW is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see LICENSE file for more
# details.
"""Management commands for files."""
from collections import defaultdict
import click
from flask... |
#! python3
import re
import binascii
import requests
import csv
import requests
import json
def cleannone(val):
if val is None:
val = '';
return val
addressPattern = re.compile(r'<span style="padding-left:10px;">(.+)</span>')
def get_ja_address(url):
res = requests.get( url )
address = '';
... |
#!/usr/bin/env python
# Copyright 2010 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... |
from pyramid.paster import get_app
import logging
import json
import time # DEBUG: timing
from ..regulome_indexer import (
SUPPORTED_CHROMOSOMES,
REGULOME_SUPPORTED_ASSEMBLIES
)
from ..regulome_atlas import (
RegulomeAtlas
)
from snovault.elasticsearch.interfaces import (
SNP_SEARCH_ES
)
EPILOG = __... |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
# # /ai4e_api_tools has been added to the PYTHONPATH, so we can reference those
# libraries directly.
import json
from flask import Flask, request, abort
from ai4e_app_insights_wrapper import AI4EAppInsights
from ai4e_service ... |
import os,sys
import torch
import math
import torch.nn as nn
import torch.nn.functional as F
from torch_connectomics.model.blocks import *
class unetv1(nn.Module):
def __init__(self, in_channel=1, out_channel=3, filters=[32,64,128,256,256]):
super().__init__()
# encoding path
self.layer1_... |
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