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import tensorflow as tf
from absl import app, flags, logging
from absl.flags import FLAGS
from core.yolov4 import YOLO, decode, decode_train, filter_boxes
import core.utils as utils
from keras_flops import get_flops
import tensorflow_model_optimization as tfmot
flags.DEFINE_string('weights', './data/yolov4.weights', '... |
from typing import List, BinaryIO, TextIO, Tuple, Any
import os
import sys
import time
import shlex
import argparse
import subprocess
from ml.utils.ansi import ANSI
def debug(msg: str) -> None:
print(msg, file=sys.stderr)
def run_command(command: List[str], **kwargs: Any) -> subprocess.Popen: # type: ignore
... |
import logging
import json
from collections import OrderedDict
from urllib.parse import urlparse
from pulsar.api import Http404, ImproperlyConfigured
from pulsar.apps.wsgi import Route
from pulsar.utils.httpurl import remove_double_slash
from pulsar.utils.importer import module_attribute
from lux import models
from l... |
#!/usr/bin/python
import socket
import subprocess
import os
import platform
import wget
# for coloring the terminal
from termcolor import cprint, colored
#for printing arguments help and available options for users
import optparse
'''
Description: This tool is part of the ethical hacking toolset. This ... |
# -*- coding:utf-8 -*-
import sys
sys.path.append("..")
import re
import time
import requests
from bs4 import BeautifulSoup
from tools.Date_Process import time_process
from tools.Emoji_Process import filter_emoji
from tools.Mysql_Process import mysqlHelper
from tools.Number_Process import num_process
from search_spide... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import pathlib
import argparse
from datetime import datetime, timedelta
from ybk.settings import ABBRS
from ybk.config import setup_config
from ybk.crawlers import crawl, crawl_all
from ybk.parsers import parse, parse_all
from ybk.quotes import realtime, realtime_all, hist... |
# Copyright 2016 <NAME> and individual contributors
#
# 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 agr... |
import threading
import Queue
from multiprocessing import Manager
from multiprocessing import Process
import os
from splunktalib.common import log
logger = log.Logs().get_logger("main")
import splunktalib.event_writer as ew
import splunktalib.timer_queue as tq
import splunktalib.common.util as scutil
import splunktal... |
#!/usr/bin/env python
# PLOT FSS DATA COMPUTED USING compute_sspf_fss.py
import matplotlib
matplotlib.use('Agg')
from netCDF4 import Dataset
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import *
import matplotlib.colors as colors
import matplotlib.gridspec as gr... |
# -*- coding: utf-8 -*-
from aubio import pvoc, float_type
import aubio
from numpy import zeros, log10, vstack
'''
ir.py: Defines the intermediate representation API and the main components of
the pipeline. These can be extended as seen fit.
date: 4/3/17
author: <NAME>
Overview:
define abstract class Intermedi... |
from collections import namedtuple
from pymc3.theanof import join_nonshared_inputs, gradient, CallableTensor
import theano
import theano.tensor as tt
Hamiltonian = namedtuple("Hamiltonian", "logp, dlogp, pot")
def _theano_hamiltonian(model_vars, shared, logpt, potential):
"""Creates a Hamiltonian with shared ... |
# -*- coding: utf-8 -*-
import unittest
from pyparsing import ParseException
from tests.utils.grammar import get_record_grammar
"""
CWR Work Detail grammar tests.
The following cases are tested:
"""
__author__ = '<NAME>'
__license__ = 'MIT'
__status__ = 'Development'
class TestRecordingDetailGrammar(unittest.Tes... |
# -*- coding: utf-8 -*-
import math
import wave
from bitarray import bitarray
from PIL import Image
from .exceptions import LoadingError, UnloadingError
from .pickers import LinearPicker
class BaseShipment(object):
"""The base for all types of shipments.
:param container: the container used to store the ca... |
# This is the code used to generate the data for Figure 4(b) in the paper.
import gurobipy as gp
from gurobipy import GRB
import numpy as np
import pandas
# from scipy.special import softmaxscipy
import matplotlib.pyplot as plt
import seaborn as sns
import datetime
def printGraph(X, Y, Y1, name):
plt.figure('Dr... |
#!/usr/bin/python3
# Author: Hegusung
import argparse
import traceback
import socket
from time import sleep
from datetime import datetime
from ipaddress import IPv4Network
from vnc import VNC, VNCException
def process(ip, port, timeout, password_list, ducky_script):
try:
print("Connecting to %s:%d" % (... |
#
# Copyright 2021 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license... |
# Copyright 2011-2019, <NAME> and The Tor Project
# See LICENSE for licensing information
"""
Utility functions used by the stem library.
"""
import datetime
import stem.prereq
__all__ = [
'conf',
'connection',
'enum',
'log',
'lru_cache',
'ordereddict',
'proc',
'str_tools',
'system',
'term',
'... |
import os
import torch
import torch.utils.data as data
import cv2
import numpy as np
from .encoder import compute_iou, DataEncoder
"""Load image/classes/bounding boxes from an annotation file.
The annotation file is organized as:
image_name #obj xmin ymin xmax ymax class_index xmin2 ymin2 xmax2 ymax2 class_index2 ..... |
from math import ceil
import numba as nb
import numpy as np
from numba import cuda
from ..Aggregation import pbc_dist_cu
from ..utils import cu_cell_id
from ..utils import cu_cell_list_argsort
from ..utils import ravel_index_f_cu
from ..utils import unravel_index_f_cu
@cuda.jit("void(int64[:], int64[:])", device=Tr... |
import json
from typing import Dict, Any, Optional
from django.db.models import QuerySet
from django.http import StreamingHttpResponse
from classification.models import ClassificationModification, EvidenceKey, EvidenceKeyMap
from classification.models.evidence_mixin import VCBlobDict
from classification.views.classif... |
"""Tools for dealing with XYZ data, including:
Reading XYZ data and converting to useful objects and formats
Reorientation of array data such as flip/rotation
Filtering array data such as high and low pass filters
This is branch 133
"""
import numpy as np
import pandas as pd
from scipy import ndimage... |
from django.shortcuts import render, redirect
from django.http import HttpResponse, Http404, HttpResponseRedirect
from .models import Projects, Profile
from .forms import ProjectsLetterForm
from .email import send_welcome_email
from django.contrib.auth.decorators import login_required
from .forms import NewProjectForm,... |
#from .base import BaseModel
from .backends.izhikevich import JIT_IZHIBackend
from .backends.mat_nu import JIT_MATBackend
from .backends.adexp import JIT_ADEXPBackend
from copy import copy
import collections
import quantities as pq
from sciunit import capabilities as scap
from neuronunit import capabilities as ncap
f... |
import itertools
from typing import Any, Callable, Dict, Generator, Iterator, Set, Tuple
from eth_utils.toolz import thread_last
from typing_extensions import Protocol
from eth2.beacon.tools.fixtures.config_types import ConfigType
from eth2.beacon.tools.fixtures.parser import parse_test_suite
from eth2.beacon.tools.f... |
import random
import torch
from torch.utils.data import Sampler, SequentialSampler
from torch.utils.data.datapipes._decorator import functional_datapipe
from torch.utils.data.datapipes.datapipe import IterDataPipe
from typing import Dict, Iterator, List, Optional, Sized, Tuple, Type, TypeVar
__all__ = [
"SamplerI... |
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 json
import logging
import os
import subprocess
import sys
from dataclasses import asdict, dataclass, field
from pathlib import Path
from typing import Optional
import datasets
import hydra
import wandb
from datasets import config, load_dataset, load_from_disk
from hydra.core.config_store import ConfigStore
fro... |
# Copyright 2021 UW-IT, University of Washington
# SPDX-License-Identifier: Apache-2.0
from sis_provisioner.events import SISProvisionerProcessor
from sis_provisioner.dao.canvas import (
get_instructor_sis_import_role, ENROLLMENT_ACTIVE, ENROLLMENT_DELETED)
from sis_provisioner.dao.course import is_time_schedule_c... |
# Communicating with Benchtop DSA8300 (Tektronix Sampling Scope)
from colorama import init, Fore, Back
init(autoreset=True) #to convert termcolor to wins color
from os.path import basename as bs
mdlname = bs(__file__).split('.')[0] # module's name e.g. PSG
import visa
from pyqum.instrument.logger import address, set_... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
"""
@author: brett
"""
import xlrd
import os
class WritableObject(object):
def _keys(self):
keys = [k for k in self.__dict__ if not k.startswith('__')]
return sorted(keys)
def __repr__(self):
s = list()
for key in self._keys():
... |
# This script can be used to ask DonkeyBot a question.
# There are many more parameters we can tweak and change for both the search engines
# and the answer detector. For the purpose of this demo we stick to the default values.
# For more information refer to the source code and the documentation
# bot modules
from bo... |
# Generated from Array.g4 by ANTLR 4.7.1
# encoding: utf-8
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\3\7")
buf.write("\26\4\2\t\2\4\3\t\3\3\2\3\2\3\2... |
import save_load_model
import json
import torch
from random import randint
import process_image as pima
import train
import argparse
import view_classify
import signal
from contextlib import contextmanager
import requests
def get_input_args():
if __name__ == "__main__":
parser = argparse.ArgumentParser... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import absolute_import, division, print_function
import re
import copy
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'}
DOCUMENTATION = '''
modul... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
import logging
import random
from abc import ABC
from typing import List, Dict
from transformers import AutoTokenizer, BasicTokenizer
from .table_linearize import TableLinearize
logger = logging.getLogger(__name__)
class TableTruncate(ABC):
... |
from sys import byteorder
from array import array
from struct import pack
from python_speech_features import mfcc
from python_speech_features import logfbank
import scipy.io.wavfile as wav
import numpy as np
import dataset
import pyaudio
import wave
import matar, soplo, izquierda, yes, lucha, reversa, babor, uno, tigr... |
from django.shortcuts import redirect, render
from django.views.decorators.csrf import csrf_exempt
from account_app.models import Seller, Buyer
from .models import Commodity, Order, Comment, Favorites
def details(request):
if request.method == "POST":
if "favorite" in request.POST:
try:
... |
# Copyright 2008-2018 Univa 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... |
"""Generic async object pool"""
from __future__ import annotations
__all__ = [
"AsyncManager",
"AsyncPool",
]
import asyncio
import contextlib
import dataclasses
import logging
import queue
import threading
from abc import ABCMeta
from concurrent.futures import Executor
from typing import AsyncGenerator, Gen... |
#!/usr/bin/env python3
#
# Copyright (c) 2014-2015 the Sanzang authors
#
# 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,... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 12 14:47:12 2019
@author: minghao
"""
default_filename = '/Users/mac/Documents/University/Github/data_road/training/calib/um_000000.txt'
import os
import numpy as np
import cv2
class BevParams(object):
def __init__(self, bev_res, bev_xLimits,... |
# ===============================================================================================================
# Copyright (c) 2019, Cornell University. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification, are permitted provided that
# the following conditions... |
# coding=utf-8
"""
Easier file operation.
"""
import os
import datetime
import shutil
from .funcs import is_image, iterable
from .funcs import remove_empty_dir, human_size
def tree(path, depth=2, topdown=True, followlinks=False, showhidden=False):
"""A generator return a tuple with three elements (root, dirs, fi... |
import os, sys, inspect, random, bpy, bmesh
from math import radians
from mathutils import Matrix
def import_STL_file(file_loc=None):
"""
if file_loc is not given, it will pick last .STL in the current file location
"""
# selects last .STL file in the dictionary and imports it to the project
#... |
#!/usr/bin/env python
import os
import sys
import numpy as np
import matplotlib
matplotlib.use('PDF')
from mgplottools.mpl import get_color, set_axis, new_figure, ls
def create_figure(outfile, ampl, final_1r_1200, final_rr_1200, max_1r_1200,
max_rr_1200, blockeff_1200, final_1r_4200, final_rr_4200, max_1r_4200,
... |
# ___________________________________________________________________________
#
# EGRET: Electrical Grid Research and Engineering Tools
# Copyright 2019 National Technology & Engineering Solutions of Sandia, LLC
# (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S.
# Government retains certain r... |
"""
Name: NMFconv
Date: Jun 2019
Programmer: <NAME>, <NAME>
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
If you use the 'NMF toolbox' please refer to:
[1] <NAME>, <NAME>, <NAME>, and <NAME>
NMF Toolbox: Music Processing Applications of Nonnegative Matr... |
from IMLearn.learners.classifiers import Perceptron, LDA, GaussianNaiveBayes
from typing import Tuple
from utils import *
import plotly.graph_objects as go
from plotly.subplots import make_subplots
from math import atan2, pi
def load_dataset(filename: str) -> Tuple[np.ndarray, np.ndarray]:
"""
Load dataset fo... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#------------------------------------------------------------------
# LEIA E PREENCHA O CABEÇALHO
# NÃO ALTERE OS NOMES DAS FUNÇÕES
# NÃO APAGUE OS DOCSTRINGS
# NÃO INCLUA NENHUM import ...
#------------------------------------------------------------------
'''
Nome:... |
import os
import numpy as np
import matplotlib.pyplot as plt
import torch as t
from torch import nn
from torch.utils.data import DataLoader
import torchvision
import torchvision.transforms as transforms
from torchvision.datasets import ImageFolder
import uuid
import optuna
import pandas
import slackweb
from earlystopp... |
import numpy as np
try:
from numpy import nanmean
except ImportError:
# obsolete location
from scipy.stats import nanmean
# initial implementation 90ms for 1132 sample window,
# compared to 0.258ms for holey_psd
# changing to nanmean -> 6ms.
# mean takes just 3ms.
def nan_detrend(x,order=1):
valid=np.... |
from django.contrib import messages
from django.contrib.sites.shortcuts import get_current_site
from django.core.urlresolvers import reverse
from django.db.models import Q
from django.http import HttpResponseRedirect, Http404
from django.utils import timezone
from django.views.generic import TemplateView, View
from br... |
from __future__ import absolute_import, unicode_literals
from tensorflow.examples.tutorials.mnist import input_data
import tensorflow as tf
import shutil
import os.path
export_dir = './tmp/expert-export'
if os.path.exists(export_dir):
shutil.rmtree(export_dir)
def weight_variable(shape):
initial = tf.truncat... |
"""
Copyright 2019 <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... |
# uncompyle6 version 2.9.10
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.6.0b2 (default, Oct 11 2016, 05:27:10)
# [GCC 6.2.0 20161005]
# Embedded file name: __init__.py
import _dsz
import dsz
import dsz.data
import dsz.lp
import mcl.tasking
import sys
import Queue
import xml
import xml.sax
import xml.sax.... |
import logging
import platform
import threading
import time
from luma.core.legacy import text, textsize
from luma.core.legacy.font import proportional, LCD_FONT
from luma.core.render import canvas
from luma.core.virtual import viewport
if platform.machine().startswith('arm'):
from g... |
#!/usr/bin/python
"""
https://en.wikipedia.org/wiki/Chordal_graph
PEO = Perfect Elimination Ordering
"""
try:
integer_types = (int, long)
except NameError: # Python 3
integer_types = (int,)
xrange = range
def find_peo_mcs(graph): # to nie jest najszybsza wersja!
"""Finding PEO in a chordal graph ... |
import random
import string
from django.db import models
from django.db.models import Sum
from django.conf import settings
from django_countries.fields import CountryField
from products.models import Product
from profiles.models import UserProfile
from decimal import Decimal
class OrderProgress(models.Model):
... |
import logging
import requests
import os
import json
import boto3
from botocore.exceptions import NoCredentialsError, ClientError
import botocore
# Get environment variables
ACCESS_KEY = os.environ.get('AWS_ACCESS_KEY_ID')
SECRET_KEY = os.environ.get('AWS_SECRET_ACCESS_KEY')
BUCKET_LOCATION = os.environ.get('AWS_DEFAU... |
import pandas as pd
from src.tools.config_loader import Configuration
from operator import or_ as union
from functools import reduce
import numpy as np
config = Configuration.get_instance()
io = config["IO"]
local_config = config["CostCurveConfig"]
column_map = {"id": "id",
"source": "source",
... |
# encoding: utf-8
__author__ = "<NAME>"
__email__ = "sch<EMAIL>t89 at informatik.uni-marburg.de"
'''
Utility for command-line interface
'''
import sys
from androlyze.log.Log import log, clilog
from androlyze.model.script.ScriptUtil import dict2json
from androlyze.error.AndroLyzeLabError import AndroLyzeLabError
... |
"""Implement tables of test reports for Sphinx"""
import typing
# import os
from docutils import nodes
import docutils.parsers.rst as rst
import yaml
import yaml.scanner
import yaml.parser
RESULT_FILE = ":testresultfile:"
TST_FILE = ":testfile:"
TST_CLASS = ":testclass:"
TABLE_TITLE = ":tabletitle:"
KW_REQ_LST = [R... |
"""
The module for creating and running a transfer learning network
"""
import os
import sys
import numpy as np
from os.path import dirname
import tensorflow as tf
from datetime import datetime
import sklearn
from tensorflow.python.keras.callbacks import TensorBoard, EarlyStopping
from sklearn.model_selection import... |
import trio
from functools import partial
from ghostricon import constants
from ghostricon.bridge import Proxy
from ghostricon.config import get_config, save_config
from ghostricon.commands import server_types
import gi
gi.require_version('Gtk', '3.0')
gi.require_version('Gdk', '3.0')
# pylint: disable=E402
from gi... |
import logging
import ntpath
import re
import datetime
class ParseLookupIndex(object):
"""
{
"name": JOB_ID,
"start_delimiter": "resolve for Job",
"end_delimiter": ","
}
"""
def _datetime(self, val):
date_time_obj = datetime.datetime.strptime(val, '%Y-%m-%d %H:%M:%S... |
import os
from typing import Union
import yaml
import json
from jinja2 import Template
from copy import deepcopy
header_msg1 = 'This file was automatically generated by jinjaroot. Do not edit directly. See the .jinjaroot dir.'
header_msg2 = 'This file was automatically generated by jinjaroot. Do not edit directly.'
d... |
#!/usr/bin/env python3
"""
The goal of this script is to ease the config generation by using an existing keystone file
<NAME> (06 Jan 2019), contact: <EMAIL>
"""
import sys
import os
import argparse
import re
import tempfile
import pprint
import ehos.utils
pp = pprint.PrettyPrinter(indent=4)
from munch im... |
import os
import re
import datetime
import dateutil.parser
import configparser
import numpy as np
import astropy.io.fits as fits
from astropy.table import Table
from ...utils.misc import extract_date
from ..common import load_obslog, load_config
from .common import print_wrapper, get_ccd_geometry
from .reduce import ... |
"""This script normalizes the data from recount3"""
import argparse
from typing import Dict
import numpy as np
import tqdm
import utils
def parse_gene_lengths(file_path: str) -> Dict[str, int]:
"""Parses a tsv file containing genes and their length
Arguments
---------
file_path - The path to the f... |
#!/usr/bin/python3
import threading
import socket
import queue
import random
import logging, logging.handlers
def i2b(n):
b = b""
while n > 0:
neon = n & 255
b += chr(neon).encode("utf8")
n = n >> 8
return b
def b2i(b):
n = 0
for bt in b:
n += bt
n = n << 8
return n >> 8
class Peer:
def __init__(sel... |
import os
import sys
import time
import webbrowser
import logging
from pathlib import Path
from multiprocessing import Process
from ..config import get_config
from ..home import load_directories, remove_directories, add_directory
from ..agent import load_agent_profiles, load_agent_profile
from ..prov import Provenanc... |
from collections import namedtuple
import re
inequalities = {
'.lt': lambda x, y: x < y,
'.leq': lambda x, y: x <= y,
'.eq': lambda x, y: x == y,
'.geq': lambda x, y: x >= y,
'.gt': lambda x, y: x > y,
}
class Phrase(object):
fields = ['text', 'words', 'char_offsets', 'pos_tags', 'ner_tags', ... |
#!/bin/python3
# Time complexity: O(n)
# Space complexity: O(n)
# The logic:
# The numbers in this problem are extremely large and are handled as strings.
# The solution has two parts: mandatory and optimization.
# Mandatory part - here we attempt to transform A and B so that A | B = C with
# the minimum number of... |
import re
from collections import defaultdict
from .annotation import IdedAnnotation
SIMSTRING_DEFAULT_UNICODE = False
def _parse_drawing(maybe_attribute_text):
if maybe_attribute_text:
attributes = dict(item.strip().split(':') for item in maybe_attribute_text[0].split(','))
else:
attributes... |
# global
import os
import ivy
import logging
import argparse
import numpy as np
# local
import ivy_builder.builder as builder
from ivy_builder.abstract.data_loader import DataLoader
from ivy_builder.abstract.network import Network
from ivy_builder.abstract.trainer import Trainer
from ivy_builder.specs import DataLoade... |
import numpy as np
import pandas as pd
from sklearn.metrics import confusion_matrix
from sklearn.metrics import roc_auc_score
from sklearn.metrics import mean_squared_error
import matplotlib
matplotlib.use("TkAgg")
# initiating random number
np.random.seed(11)
#### Creating the dataset
# mean and standard deviation... |
from collections.abc import Mapping
from typing import Any
from typing import Dict
from typing import Generic
from typing import Iterable
from typing import List
from typing import Optional
from typing import overload
from typing import Set
from typing import Type
from typing import TypeVar
from typing import Union
fro... |
import argparse
import json
import os
import urllib
import urllib.request
import requests
import sys
from requests.auth import HTTPBasicAuth
def get_course_page(api_url, token):
return json.loads(requests.get(api_url, headers={'Authorization': 'Bearer ' + token}).text)
def get_all_weeks(stepik_resp):
return... |
"""
IdleX Windows Configuration
Adds/removes "Edit with IdleX" to the right-click context menu
for .py files.
Author: <NAME>
Date: 2011-11-28
2012-04-13 modified to work with setup.py
License: See LICENSE.txt
"""
import os
import sys
import shlex
WINREG = True
if sys.version < '3':
import Tkinter... |
from nose.tools import *
from os.path import abspath, dirname, join
import numpy as np
import wntr
import unittest
testdir = dirname(abspath(str(__file__)))
def test_Concentration():
typestring = 'Concentration'
data_expected = 1 # kg/m3
data = 1000 # mg/L
for flowunit in range(10):
execute_te... |
#
# Copyright (c) 2019 -2021 MINRES Technolgies GmbH
#
# SPDX-License-Identifier: Apache-2.0
#
from cppyy import gbl as cpp
from builtins import getattr
import re
from enum import Enum
import logging
class Mode(Enum):
SIM = 1
BUILD = 2
mode=Mode.SIM
module_list = list()
connection_list = list()
def dump_st... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : visualizer.py
# Author : <NAME>
# Email : <EMAIL>
# Date : 08/02/2021
#
# This file is part of TOQ-Nets-PyTorch.
# Distributed under terms of the MIT license.
import json
import os
import cv2
from toqnets.utils import make_video
DATA_PATH = "/data/vision... |
import sqlalchemy as sa
from functools import lru_cache
from itertools import groupby
from dateutil.relativedelta import relativedelta
from sqlalchemy import func, text
from datahub.settings import UNKNOWN_TECHNOLOGY_LABEL
from datahub.technology import Technology
from datahub.measurements import Measurement
from data... |
#!/usr/bin/env python3
# coding: utf8
# Author: <NAME>, 2019
'''
Import terminology from a CRAFT OBO ontology.
'''
import io
import re
import csv
import logging
import zipfile
from pathlib import Path
from ...util.util import smart_open
from ..terminology import DictEntry
ONTOLOGIES = {
'CHEBI': 'chemical',... |
from aiogram import types
from aiogram.dispatcher import FSMContext
from data import config
from handlers.users.settings import group_and_subgroups
from keyboards import inline
from keyboards.inline import back_callback, chats, continue_callback, notification, languages, faculties, courses, \
groups
from k... |
import re
import math
import operator
constants = {
"pi": math.pi,
"e": math.e
}
operators = {
"+": operator.add,
"-": operator.sub,
"*": operator.mul,
"/": operator.truediv,
"%": operator.mod,
"//": operator.floordiv,
"^": operator.pow
}
# sorted by descending precedence
operator... |
# coding=utf-8
# Dataset needs to be shuffled before calling TextReader() instance;
# Use shuffle_dataset() to make a new CSV file, default is /datasets/train_set.csv
import codecs
import random, csv
import numpy as np
from nltk.tokenize import word_tokenize
import sys
import string
import os
from lib.utils import co... |
# -*- coding: utf-8 -*-.
"""
pygsheets.datarange
~~~~~~~~~~~~~~~~~~~
This module contains DataRange class for storing/manuplating a range of data in spreadsheet. This classs can
be used for group operations, eg changing format of ll cells in a given range. This can also represent, named ranges
protetced ranegs, banne... |
import hashlib
import json
import os
from django import http
from django.conf import settings
from django.core.files.storage import default_storage as storage
from django.shortcuts import get_object_or_404, redirect
from django.views.decorators.http import etag
import commonware.log
import jingo
from session_csrf imp... |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates. All Rights Reserved.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import json
import logging
import os
import shutil
from typing import List, Optional
import to... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
""" extract mpg from dvd, write encoding script """
from __future__ import print_function
import os
from roku_app.roku_utils import publish_transcode_job_to_queue
from roku_app.util import run_command
HOMEDIR = os.getenv('HOME')
DIR = '%s/dvdrip' % HOMEDIR
DEBUG = False
... |
# coding: utf-8
# -------imports---------- #
import os
import sys
import time
import argparse
import json
import pandas as pd
import numpy as np
from keras.models import Model
from keras.optimizers import Adam
from keras.callbacks import EarlyStopping, ModelCheckpoint
from sklearn.metrics import fbeta_score
from skle... |
import itertools
import os
import pickle
import numpy as np
from hypergrad.util import dictslice
from hypergrad.mnist import random_partition
def datapath(fname):
project_dir = os.environ['EXPERI_PROJECT_PATH']
datadir = project_dir+"/library/hypergrad/data/mnist"
# datadir = os.path.expanduser('/Users/... |
import sys
from typing import Callable, List, Optional, Union
from nuclear.autocomplete.autocomplete import bash_autocomplete
from nuclear.autocomplete.install import install_bash, install_autocomplete
from nuclear.builder.decorator_builder import create_decorated_subcommand
from nuclear.help.help import print_version... |
# -*- coding: utf-8 -*-
"""
.. module:: courtship
:synopsis: Class to hold tracking summaries (ts).
.. moduleauthor:: <NAME>
"""
import h5py
import numpy as np
import pandas as pd
from courtship.fly import Fly
from .meta import (
VideoMeta,
ArenaMeta,
SoftwareTrackingMeta
)
cl... |
## EOF TRANSFORMATION OF LORENZ SYSTEM
import numpy as np
from eofs.standard import Eof
import matplotlib.pyplot as plt
## define right hand side of lorenz system
def rhs(xyz,sig=10.,rho=28.,beta=8./3.):
xdot = sig*(xyz[1] - xyz[0])
ydot = xyz[0]*(rho - xyz[2]) - xyz[1]
zdot = xyz[0]*xyz[1] - beta*xyz[2]... |
#Author: <NAME>
#Description: Extract subtitles and videos of approved shows from the RUV api
#License: Apache 2
#TODO: follow pep8
# consider using BeautifulSoup to parse links
#TODO: create a usage
import csv
import json
import os
import requests
import sys
import urllib.request
from RUV_show import Season, Programm... |
# Copyright 2020 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
#
# Unless required by applicable law or agreed to in writing, s... |
import re
from typing import Any
from openpyxl.cell.cell import Cell
from .exceptions import (
InvalidTemplateProperty,
InvalidExpression,
ConflictDataTypeInExpression,
InvalidIndexInExpression,
DiscontinuousIndexInExpression,
InvalidTemplateProperties,
)
from .utils import get_and_validate_ce... |
"""A PyZMQ based RPC service.
Authors:
* <NAME>
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2012. <NAME>, <NAME>
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING.BSD, distributed as part of this software.
#-------... |
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