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# Copyright 2020-2021 Huawei Technologies Co., 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 agre... |
#
# 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... |
from datetime import datetime
from dataloader.outdoor_data_mfcc import ActionsDataLoader as SoundDataLoader
from dataloader.actions_data_old import ActionsDataLoader
from models.unet_acresnet import UNetAc
from models.vision import ResNet50Model
import numpy as np
import tensorflow as tf
import os
from scipy import sig... |
import tkinter as tk
from tkinter import *
from tkinter import ttk
import tkinter.messagebox as mb
from main import threader
def changeValueSRow():
value = maximumRow.get()
if value != "Please select value":
maximumR = int(maximumRow.get())
num = list(range(2, maximumR - 1))
... |
import logging
from pathlib import Path
from ploomber.exceptions import RenderError
from numpydoc.docscrape import NumpyDocString
import jinja2
from jinja2 import (Environment, meta, Template, UndefinedError,
FileSystemLoader, PackageLoader)
class Placeholder:
"""
A jinja2 Template-like ... |
#!/usr/bin/env python3
"""script to parse output from sslscan and find common issues, then dump into a docx"""
try:
import argparse
import docx
import os
import re
import sys
import time
from docx.shared import Pt
from docx.shared import Inches
from docx.shared import RGBColor
... |
# Copyright 2017 <NAME>, <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, s... |
"""Utility functions for parsing inputs."""
import warnings
import numpy as np
import pandas as pd
import xarray
def _fig_dimensions(kwargs):
if (
"width" not in kwargs
and "plot_width" not in kwargs
and "frame_width" not in kwargs
):
kwargs["frame_width"] = 375
if (
... |
from __future__ import absolute_import
from collections import deque, namedtuple
import warnings
import random
import numpy as np
# This is to be understood as a transition: Given `state0`, performing `action`
# yields `reward` and results in `state1`, which might be `terminal`.
Experience = namedtuple('Experience',... |
import numpy as np
import random
import math
class evolution_benchmark():
def __init__(self, F, bounds, num_pop, num_gen):
self.F = F #Fit function NB. Best fit = Higher fitnes value, so to find minimum put the - before!
self.bounds = np.array(bounds) #Function bounds
self.num_pop... |
import os
import signal
import threading
import docker
import dockerpty
from subprocess import Popen, STDOUT, PIPE, SubprocessError, CalledProcessError
import spython
from spython.main.parse.parsers import DockerParser
from spython.main.parse.writers import SingularityWriter
from popper import utils as pu
from popp... |
from fastNLP.models.biaffine_parser import BiaffineParser
from fastNLP.models.biaffine_parser import ArcBiaffine, LabelBilinear
import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
from fastNLP.modules.dropout import TimestepDropout
from fastNLP.modules.encoder.variational_rnn ... |
import torch
import torch.nn.functional as F
import torch.nn as nn
from torch_scatter import scatter
class BatchNormNode(nn.Module):
"""Batch normalization for node features.
"""
def __init__(self, hidden_dim):
super(BatchNormNode, self).__init__()
self.batch_norm = nn.BatchNorm1d(hidden_... |
import torch
import pickle
import torch.utils.data
import time
import os
import pandas as pd
import csv
import dgl
from scipy import sparse as sp
from torch.nn.utils.rnn import pad_sequence
import numpy as np
import networkx as nx
import hashlib
from train.config import Config
class MoleculeDGL(torch.utils.data.Datas... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
##############################################################################
# Copyright Kitware 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 t... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
import pandas as pd
import sys
from collections import Iterable
import numpy as np
import pkg_resources
import bz2
import pickle
from signature_code.evaluate_phylo500 import format_clonesig, format_sciclone, format_pyclone, format_ccube, format_dpclust, format_deconstructsi... |
#!/usr/bin/python3
"""
Ackermann Steering Simulator with Tkinter and Pyplot
<NAME>
18.02.2019
"""
from time import time
import tkinter as tk
import numpy as np
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
from matplotlib.patches import Ellipse, Circle, Polygon, Rectangle
from matplotl... |
'''
EXTD Copyright (c) 2019-present NAVER Corp. MIT License
'''
#-*- coding:utf-8 -*-
from __future__ import division
from __future__ import absolute_import
from __future__ import print_function
import os
import time
import torch
import argparse
import torch.nn as nn
import torch.optim as optim
impor... |
import argparse
from typing import Any, Dict, List, Sequence
import torch
import torch.nn as nn
import torch.nn.functional as F
from solo.losses.simsiam import simsiam_loss_func
from solo.methods.base import BaseModel
from solo.losses.vicreg import covariance_loss
class BiasLayer(nn.Module):
def __init__(self):
... |
from django.http import HttpRequest
from rest_framework.request import Request
from rest_framework import status
from backend.models.event.cloudwatchevent import CloudWatchEvent
from backend.models.eventmodel import ScheduleModel, EventModel
from backend.externals.events import Events
from backend.models.resource... |
#
# LG AC SmartThinq Plugin
# Author: olinek2, 2018
#
"""
<plugin key="LG-SmartThinq-AC" name="LG AC SmartThinq" author="olinek2" version="0.1.0" wikilink="https://github.com/olinek2/LGAC_SmartT">
<description>
LG AC SmartThinq Plugin
</description>
<params>
<param ... |
import os
import time
import shutil
import numpy as np
import torch
from torch.autograd import Variable
import torchvision.transforms as transforms
class AverageMeter(object):
def __init__(self):
self.reset()
def reset(self):
self.avg = 0
self.sum = 0
self.cnt = 0
def u... |
"""
Definitions for different labels present in Vicar files.
This is a collection for their values and types collected into enums.
The reader will try to convert all the SystemLabels into other label types where applicable.
"""
from enum import Enum
from typing import Type, Dict, List, Tuple, Optional, Set
import num... |
import os
from model.blueprint import *
from model.project import *
from model.disk import *
from model.discover import *
from utils.log_reader import *
from utils.dbconn import *
from utils.logger import *
from pkg.common import nodes as n
import time
from pkg.azure import network
from pkg.aws import disk as awsdisk
... |
"""
Script entry point
"""
from src.calrissian.particle4_network import Particle4Network
from src.calrissian.layers.particle4 import Particle4
from src.calrissian.layers.particle4 import Particle4Input
from src.calrissian.optimizers.particle4_sgd import Particle4SGD
import numpy as np
def main():
train_X = np.... |
import math
import torch
import sys
import torch.nn as nn
import torch.nn.functional as F
from .py_utils.loss_utils import _regr_loss, _neg_loss
from torch.autograd import Variable
from .resnet_features import resnet50_features, resnet18_features, resnet101_features, resnext101_32x8d, wide_resnet101_2
from .py_utils.ut... |
#!/usr/bin/python
import json
import os
import pprint
import re
import discord
import getpass
import argparse
import logging
import requests
EMOJI_RE = re.compile("<:([^>]+):([0-9]{18})>")
logging.basicConfig(
level="WARNING",
style="{",
format="[{asctime}] [{process}] [{levelname}] {fil... |
import os
import argparse
import torch
import numpy as np
import torch.nn.functional as F
from yacs.config import CfgNode as CN
import tqdm
import datetime
from terminaltables import AsciiTable
from data import NYUv2_Dataloader, KITTI_Dataloader
from model import MFF_Model, BTS_Model
from utils import AverageMeter, lo... |
# -*- coding: utf-8 -*-
"""
Provides support for decoding a bencoded string into a python OrderedDict,
bencoding a decoded OrderedDict, and pretty printing said OrderedDict.
"""
__all__ = ['Encode', 'Decode']
import logging
from collections import OrderedDict
from io import BytesIO
from typing import Union, Dict, An... |
import os,re,time,asyncio
import sys
sys.path.append(os.path.abspath('../../tmp'))
sys.path.append(os.path.abspath('.'))
try:
import aiohttp
except Exception as e:
print(e, "\n请更新pip版本：pip3 install --upgrade pip \n缺少aiohttp 模块，请执行命令安装: pip3 install aiohttp\n")
exit(3)
# 调试
# 京喜财富岛兑换111红包
# 59 59 * * * * ... |
import logging
import re
import traceback
from opentrons import __version__
from fastapi import FastAPI, APIRouter, Depends
from fastapi.exceptions import RequestValidationError
from starlette.responses import Response, JSONResponse
from starlette.requests import Request
from starlette.exceptions import HTTPException ... |
import os
import argparse
import torch
import cv2
import logging
import numpy as np
from net import *
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import torch.utils.data as data
from torch.utils.data import DataLoader
import sys
import math
impo... |
"""
Usage:
Step 1: python summary_graphs.py --logdir=../results/classic_control --opr extract_summary
Step 2: python summary_graphs.py --logdir=../results/classic_control --opr plot
Why 2-step process? : Sometimes , you may want to re-do the plotting with some changes for more beautification.
In those cases, we can av... |
import asyncio
import discord
from discord.ext import commands
from Cogs import DisplayName
from Cogs import Message
def setup(bot):
# Add the bot
settings = bot.get_cog("Settings")
bot.add_cog(Quote(bot, settings))
class Quote:
# Init with the bot reference, and a reference to the settings var
def __init... |
"""
Transition Disc Example
=======================
This example uses the gas and dust density profiles inferred for the transitional disc HD135344B.
"""
#******************
#sf3dmodels modules
#******************
from sf3dmodels import Model, Plot_model
import sf3dmodels.utils.units as u
import sf3dmodels.rt as rt
fr... |
#!/usr/bin/env python
"""This file contains all the functions needed to compute the shimmers of a waveform."""
import numpy as np
from .jitters import validate_frequencies
from .utils import (
shifted_sequence,
peak_amplitude_slidingwindow,
)
def validate_amplitudes(amplitudes, frequencies, max_a_factor, p... |
import numpy as np
def read_raw(path, chan_num):
dt = np.dtype([('row', np.int32), ('feature1', np.float32), ('feature2', np.float32),
('feature3', np.float32), ('feature4', np.float32),
('feature5', np.float32), ('feature6', np.float32), ('feature7', np.float32),
... |
#!/usr/bin/env python
"""
Created on Mon Aug 29 2016
Modified from the similar program by Nick
@author: <NAME>
Modified from authors above to have python work seamlessly in Windows and Linux.
@author: <NAME>
Optical Powermeter (tkinter) Version 1.03 (last modified on Aug 29 2019)
v1.01: There was a bug as worker thr... |
# ----------------------------------------------------------------------------
# Copyright (c) 2020, <NAME>.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# -----------------------------------------------------------------------... |
import contextlib
import functools
import logging
import sys
import warnings
from typing import List, Sequence
import pytorch_lightning as pl
import rich.syntax
import rich.tree
from omegaconf import DictConfig, OmegaConf
from pytorch_lightning.utilities import rank_zero_only
try:
from jammy import link_hyd_run
e... |
# -*- coding: utf-8 -*-
from __future__ import print_function
import logging
import argparse
import random
import dnslib
from pkg_resources import resource_filename
from greendns import session
from greendns import connection
from greendns import localnet
from greendns import handler_base
from greendns import cache
EX... |
#!/usr/bin/env python
# encoding: utf-8
# This file is part of CycloneDX Python
#
# 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 ... |
# Copyright (C) 2011-2020 Airbus, <EMAIL>
try:
from plasmasm.python.compatibility import set, sorted
except ImportError:
pass
import logging
log = logging.getLogger("plasmasm")
from plasmasm.constants import Constant, P2Align
def stack_tracking(label, value):
# Analyzes the use of the red zone.
# Cf. ... |
"""
Implementations of standard library functions, because it's not possible to
understand them with Jedi.
To add a new implementation, create a function and add it to the
``_implemented`` dict at the bottom of this module.
Note that this module exists only to implement very specific functionality in
the standard lib... |
import pygame # to create game functionalities
import csv # to load csv's
from pygame import mixer # to load music and sound effects
from code.world import World
from code.config import *
from code.player_attributes import HealthBar
from code.button import Button
from pygame.locals import *
mixer.init()
pygame.ini... |
import re
import subprocess
import collections
import errno
from os import makedirs
from os.path import join, isfile, split
import xml.etree.ElementTree as ET
import sublime
import sublime_plugin
# initialize globals, necessary to communicate between
# SublimeCommand class and SublimeEventListener class
activating_co... |
from lxml.etree import Element, SubElement, tostring
from utils import log
import shutil
import json
import os
import cv2
import numpy as np
def get_pic_dir(out_put_dir):
img_dir = os.path.join(out_put_dir, "img")
pic_dir = os.path.join(img_dir, "pic")
return pic_dir
def get_fragment_dir(out_put_dir):
... |
from __future__ import print_function
import pickle
import os.path
from googleapiclient.discovery import build
from google_auth_oauthlib.flow import InstalledAppFlow
from google.auth.transport.requests import Request
from apiclient import errors
import base64
from io import StringIO
from html.parser import HTMLParser
i... |
# /usr/bin/env python3.5
# -*- mode: python -*-
# =============================================================================
# @@-COPYRIGHT-START-@@
#
# Copyright (c) 2019, Qualcomm Innovation Center, Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification,... |
import datetime
from typing import Union, Sequence
from dateutil import parser
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from selenium.webdriver.remote.webelement import WebElement
from pages.helpers import wait_for, elem_has_class
class InvalidDate(Exception):
pa... |
import pandas as pd
import json
import os
import sys
import datetime
from datetime import time
from src.util import logger
def loadIntradayData(filepath):
data = pd.read_csv(filepath, parse_dates=[0], names=['datetime', 'value'])
return data
#TODO implement and test loading more than one intraday interval
de... |
#!/usr/bin/env python
"""
Maintain a directory at ~/remotefs/ for mounting remote filesystems over SSH.
"""
from __future__ import print_function
import argparse
import os
import pickle
import subprocess
import sys
from eapy.shell import (
ensure_commands_exist, PPTable,
colorize, COLOR_GREEN, COLOR_RED, COLO... |
import numpy as np
import shutil
import subprocess
from mtuq.graphics._gmt import exists_gmt, gmt_not_found_warning, gmt_version,\
gmt_formats
from mtuq.util import fullpath, warn
from mtuq.util.math import wrap_180, to_delta, to_gamma, to_mij
from os.path import basename, exists, splitext
from six import string_... |
"""Contains generic filter class, :class:`Filter`, to apply any FFmpeg filter."""
__author__ = '<NAME>'
__version__ = '1.0'
__all__ = ['generate_filter',
'filter_parameters',
'register_filter_complex',
'filter_complex',
'process_argument_string',
'process_layer_st... |
#!/usr/bin/python
"""
Interface for viewer
"""
import wx
import re
import os, sys
import logging
from reader import Reader
from wx.lib.mixins.listctrl import ListCtrlAutoWidthMixin
from wx.lib.mixins.listctrl import ColumnSorterMixin
class NewListCtrl(wx.ListCtrl, ColumnSorterMixin, ListCtrlAutoWidthMixin):
... |
# NOTE: use +1 convention for box
# w=x2-x1+1
# h=y2-y1+1
import os.path as osp
import sys
from itertools import groupby
import numpy as np
import numpy.random as npr
import pycocotools.mask as cocomask
from PIL import Image, ImageFile
from skimage.morphology import binary_dilation as _binary_dilation
from skimage.mor... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# 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.
r"""
Source: `pytorch imagenet example <https://github.com/pytorch/examples/blob/master/i... |
# Submitted April 2, 2020
# Team 28:
# <NAME> 101098993
# <NAME> 101138391
# <NAME> 101146639
# <NAME> 101169280
# MILESTONE 3
# IMPORTS
from Cimpl import copy, get_color, set_color, Image, choose_file, load_image, create_color, show, get_height, get_width
from simple_Cimpl_filters import grayscale
# CONSTANTS
COLO... |
from tkinter import *
import tkinter.filedialog
import tkinter.font as tkFont
from tkinter.messagebox import *
from PIL import Image, ImageTk # pillow 模块
import os
import json
from aip import AipFace
import camare
config = json.load(open('./config/config.json'))
""" 你的 APPID AK SK """
APP_ID = config['APP']['APP_ID'... |
def plotly(df):
import pandas as pd
import numpy as np
import re
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
import plotly.express as px
from plotly.subplots import make_subplots
import ... |
"""Records shared by all osid objects"""
from .base_records import ObjectInitRecord, QueryInitRecord, ProvenanceFormRecord
from dlkit.json_.osid import record_templates as osid_records
from dlkit.json_.osid.metadata import Metadata
from dlkit.abstract_osid.osid.errors import NoAccess
from dlkit.primordium.id.primitiv... |
import numpy as np
from numba import jit, prange
from .usefuls import *
from . import cosmology as cm
from . import conv
import itertools
print("Using numba module")
KB_SI = 1.38e-23
c_light = 2.99792458e+10 #in cm/s
janskytowatt = 1e-26
@jit
def superpixel_map_numba(data, labels, mns=None):
from superpixels imp... |
# Program to create a neural network with input layer,
# output layer, and one hidden layer.
# * UPDATE *
# Added support for multiple hidden layers! Yay!
# Import statements
from __future__ import print_function
from random import random, randint
from math import exp
from tqdm import tqdm
from pickle import dump
''... |
import json
import numpy
import pandas as pd
import re
import spacy
from nltk.util import ngrams
from collections import Counter
import matplotlib.pyplot as plt
import seaborn as sns
nlp = spacy.load("en_core_web_sm")
# python -m spacy download en_core_web_sm
sns.set(style="whitegrid")
## Constants
# source = "Redd... |
import time
import DetectPlatform
import RemoteArduino
class ArduinoPin:
def __init__(self, name, number, net = None, suppressHigh = False, suppressLow = False):
self.name = name
self.number = number
if(net == None):
self.net = name
else:
self.net = net
self.suppressHigh = suppre... |
import scVI
import tensorflow as tf
from benchmarking import *
from helper import *
import numpy as np
import time
import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.manifold import TSNE
from sklearn import cluster,manifold
import matplotlib.pyplot as plt
# %matplotlib inline
import ... |
#
# Author : <NAME>
# July - 2019
# This script will generate the data for the graphs displayed on dashboard
#
import calendar, re
from django.contrib.auth import get_user_model
from django.utils import timezone
from django.db.models import Q
from helpdesk.models import Ticket
"""
Output
=========================... |
import pyttsx3
import datetime
import speech_recognition as sr
import wikipedia
import smtplib
import webbrowser as wb
import psutil
from wikipedia.wikipedia import search
import pyjokes
import os
import pyautogui
import random
import string
import numpy as np
from urllib.request import urlopen
import ... |
import sys
import joblib
import json
import dask.bag as db
import pandas as pd
import nltk
import re
import time
from nltk.corpus import stopwords
from nltk.stem.wordnet import WordNetLemmatizer
from nltk.tokenize import word_tokenize
from dask.bag import random
from sklearn.feature_extraction.text import TfidfVectori... |
from __future__ import print_function
import sys
from matplotlib import pyplot as plt
plt.switch_backend('agg')
import numpy as np
import torch
# Library code
sys.path.insert(0, '..')
from struct2seq import *
from argparse import ArgumentParser
def get_args():
parser = ArgumentParser(description='Structure ... |
"""
MIT License
Copyright (c) 2021 Andy
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribu... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
################################################################################
# Copyright (c) 2019 <NAME>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the... |
"""Preprocess ImageNet 1K in advance, in order to avoid transform
overhead one would have amortized at each batch collection using dataloader.
Recommend you to install Pillow-SIMD first.
$ pip uninstall pillow
$ CC="cc -mavx2" pip install -U --force-reinstall pillow-simd
"""
import multiprocessing as mp
import os
i... |
#from adt import ADT
#from adt import memo as ADTmemo
from .prelude import *
from . import atl_types as T
from .frontend import AST
from fractions import Fraction
import numpy as np
import math
# --------------------------------------------------------------------------- #
# -------------------------------------... |
import os
import numpy as np
import json
import torch
import glob
from torch.utils.tensorboard import SummaryWriter
from models.universal_model import (
UniversalModel,
LSTMModel,
TransformerModel)
from models.metrics import (
ClassificationMetric,
LMMetric,
PDAMetric,
FullMetric)
from datas... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Gears for bots.
"Gears for Bots"
# Programmed by CoolCat467
__title__ = 'Gears'
__author__ = 'CoolCat467'
__version__ = '0.1.5'
__ver_major__ = 0
__ver_minor__ = 1
__ver_patch__ = 5
import math
from typing import Union
import asyncio
import concurrent.futures
import... |
import cv2
import queue
import numpy as np
import math
from scipy.spatial import ConvexHull
from scipy.ndimage.interpolation import rotate
THRESHOLD = 25
def RGB_distance_threshold(first_rgb, second_rgb):
return math.sqrt(np.sum((np.absolute(first_rgb - second_rgb))**2)) < THRESHOLD
def check_pixels_in_one_direc... |
import torch
import torch.nn as nn
from efficientnet_pytorch.model import efficientnet
from habitat_baselines.rl.ddppo.policy.running_mean_and_var import (
RunningMeanAndVar,
)
from habitat_baselines.rl.models.rnn_state_encoder import RNNStateEncoder
from habitat_baselines.rl.ppo import Net #, Policy
from habitat_... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
**BETTERSIS.SISCOMPLETER**:
Defines an object that helps for autocompletion of commands.
"""
__author__ = "<NAME>"
import os
import logging
from prompt_toolkit.completion import NestedCompleter
import siswrapper
try:
from ._version import __version__ # noqa: F... |
## ========================================================================= ##
## ##
## Filename: jsGenerator.py ##
## ... |
# New BSD License
#
# Copyright (c) 2007–2019 The scikit-learn developers.
# Copyright (c) 2019 <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:
#
# a. Redistributions of source code mus... |
from collections import deque
from enum import Enum
from functools import lru_cache
from itertools import chain
from math import inf
from random import randint, shuffle, choice, sample
from typing import List, Tuple, Dict, Union, Optional, Iterator, Generator
import networkx as nx
from models.position import Position... |
"""
Helper functions for SoaringSpot competitions.
The files from SoaringSpot always contain task information, which can be used for competition analysis.
"""
import datetime
import re
from typing import List, Tuple, Union
from urllib.error import URLError
from urllib.parse import urljoin
from aerofiles.igc import Rea... |
import os
from pathlib import Path
from random import shuffle
import datetime
import click
import dotenv
import tensorflow as tf
import h5py
import pandas as pd
# from tensorflow.python.keras.losses import SparseCategoricalCrossentropy
from src.models.losses_2d import CustomLoss, gtvl_loss
from src.models.fetch_data_... |
## AUTHOR: <NAME>
# ============================================================================
# Filename: main.py
# Example usage: python main.py --data ../natural_images [--checkpoint .pth]
# ============================================================================
import argparse
from IE643_160050064_assignm... |
import logging
import os
import fnmatch
import re
from subprocess import call
from collections import Counter
import pandas as pd
import numpy as np
from sklearn.preprocessing import label_binarize
from sklearn.metrics import roc_curve, auc, precision_recall_curve
from sklearn.metrics import roc_auc_score, average_prec... |
#!/usr/bin/env python3
#
# - SolidityEndToEndTest.trace was created with soltest with the following command on
# ./soltest --color_output=false --log_level=test_suite -t SolidityEndToEndTest/ -- --no-smt
# --evmonepath /Users/alex/evmone/lib/libevmone.dylib --show-messages > SolidityEndToEndTest.trace
# - a... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""General functions to compute borders and insulation score.
Functions:
- get_relative_insulation
- get_ri_score
- get_local_score
- detect_final_borders
- get_insulation_score
"""
import bacchus.hic as bch
import copy
import numpy as np
import os
... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright: (c) 2021, Ansible Project
# 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
from ansible.module_utils.basic import AnsibleModule, env_fallback
from ansib... |
import pytest
# from compas.geometry import homogenize
# from compas.geometry import dehomogenize
from compas.geometry import Rotation
from compas.geometry import Translation
from compas.geometry import allclose
from compas.geometry import intersection_segment_segment_xy
from compas.geometry import mirror_points_line
... |
from dataclasses import dataclass
from datetime import datetime
from typing import List, Tuple, Optional
import logging
import pytz
import requests
from requests import HTTPError
from marshmallow import Schema, fields, post_load
# Because this is a library, we don't want to force logs on people if they
# don't confi... |
# 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... |
import os
import random
import math
import argparse
import Levenshtein
import numpy as np
from tqdm import tqdm
from scipy.misc import imread, imresize
from rdkit import Chem, DataStructs
from rdkit.Chem import MACCSkeys, AllChem, rdmolops, Draw
from nltk.translate.bleu_score import sentence_bleu
from tokenizers import... |
import tensorflow as tf
from tensorflow import keras as keras
from tensorflow.keras.models import Sequential, load_model
from tensorflow.keras.layers import Dense, Dropout, Lambda, LayerNormalization
from tensorflow.keras.callbacks import ModelCheckpoint, LearningRateScheduler, History, EarlyStopping
import numpy as np... |
import argparse
import const
import cv2 as cv
import numpy as np
import random
import sys
from matplotlib import pyplot as plt
def calculate_distance_window(win_size, win_center):
center_y = win_center[1]
center_x = win_center[0]
dist_window = np.zeros(win_size)
for y in range(win_size[1]):
... |
from __future__ import division
from .misc_functions import uncert_round
import numpy as np
import pandas as pd
import math
import multiprocessing as mp
import statsmodels.api as sm
import seaborn as sns
sns.set_style("whitegrid")
def calc_ams(s, b, br=0, delta_b=0):
""" Approximate Median Significance defined... |
import socket
import struct
import os
import sys
import re
import traceback
import threading
import numpy as np
import subprocess as sp
from datetime import datetime
from config import (DEFAULT_ADDRESS, SAVE_PATH, CONST_BUFFER_SIZE, SAVE_FPS)
from camera import VideoFrame, MyThread, write_error_logs,... |
from collections import namedtuple
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd.function import InplaceFunction
from image_classification.preconditioner import ScalarPreconditioner, ForwardPreconditioner, DiagonalPreconditioner, BlockwiseHouseholderPreconditioner, ScalarPrecond... |
import json
from dug.utils import biolink_snake_case
class MissingNodeReferenceError(BaseException):
pass
class MissingEdgeReferenceError(BaseException):
pass
class QueryKG:
def __init__(self, kg_json):
self.kg = kg_json["message"]
self.answers = self.kg.get("results", [])
self... |
import numpy as np
from scipy.spatial.distance import pdist, squareform
from sklearn.cluster import DBSCAN
from sklearn.utils import check_array
from ML import calculate_rand_score, stock_labels
from utils import get_dataset_steps_positions_velocities_headings
def get_mean_score(name_file):
try:
with ope... |
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