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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import nltk
from nltk.tokenize import WordPunctTokenizer
from nltk.text import TextCollection
from nltk import ngrams
from nltk import FreqDist
from nltk.tokenize import word_tokenize
import pandas as pd
from pandas.core.frame import DataFrame
import numpy as np
from stati... |
import datetime as date
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import dash
from dash import Dash, dcc, html, Input, Output, State
from flask import Flask
from flask_session import Session
from flask import Flask, current_app, flash,... |
"""Test Routine for assembly"""
from unittest import TestCase
from scipy.sparse import csr_matrix
from numpy.random import randint
import numpy as np
from scipy import rand
from numpy.testing import assert_array_equal
import pandas as pd
from pandas.testing import assert_frame_equal
from amfe.assembly.assembly impor... |
# Copyright (c) 2021, <NAME>
# See LICENSE file for details: <https://github.com/moble/scri/blob/master/LICENSE>
sxs_formats = [
"rotating_paired_xor_multishuffle_bzip2",
]
default_shuffle_widths = (8, 8, 4, 4, 4, 2,) + (1,) * 34
def save(w, file_name=None, file_write_mode="w", L2norm_fractional_tolerance=1e-10,... |
import functools
import functools
import inspect
import typing
from typing import Dict, Callable, Collection, Tuple, Union, Any, Type
import typing_inspect
import pandas as pd
from hamilton import node
from hamilton.function_modifiers_base import NodeCreator, NodeResolver, NodeExpander, sanitize_function_name
from ha... |
"""
/*********************************************************************************/
* The MIT License (MIT) *
* *
* Copyright (c) 2014 EOX IT Services GmbH ... |
#!/usr/bin/env python
# -------------------------------------------*-python-*------------------------------------------- #
# file src/mesh/python/mesh_types.py
# date Monday, Jul 19, 2021, 12:14 pm
# brief This script provides mesh classes that calculate and contain unstructred mesh data.
# note Copyright (C) 2021, ... |
import subprocess
import sys
# # pip install GitPython
# subprocess.check_call([sys.executable, '-m', 'pip', 'install', 'GitPython'])
# # pip install -U spacy
# subprocess.check_call([sys.executable, '-m', 'pip', 'install', '-U', 'spacy'])
# # installing pipelines
# subprocess.check_call([sys.executable, '-m', 'spacy',... |
from __future__ import print_function
import os
import sys
from time import time as etime
import inspect
import fnmatch
import argparse
import json
import atexit
import types
from string import Template
from collections import OrderedDict
from functools import wraps
from struct import Struct
from ctypes import Structu... |
import pickle
import librosa
from os import path
import numpy as np
import pickle as pkl
from gensim.test.utils import datapath, get_tmpfile
from gensim.models import KeyedVectors
from gensim.scripts.glove2word2vec import glove2word2vec
from sklearn.decomposition import PCA
from sklearn.manifold import TSNE
# TODO: ... |
#Author: <NAME>
#Email: <EMAIL>, <EMAIL>
#copyright @ 2018: <NAME>. All right reserved.
#Info:
#main file to solve deterministic equivalent form of CBM model by back-tracking
#
#Last update: 10/08/2018
#!/usr/bin/python
from __future__ import print_function
import sys
import cplex
import itertools
import time
from sc... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Mar 14 14:31:13 2018
@author: malrawi
"""
""" DCNNs - Semi Supervised Learning
"""
"""
##### From [torchvision](https://github.com/pytorch/vision/) package:
- ResNet (`resnet18`, `resnet34`, `resnet50`, `resnet101`, `resnet152`)
- DenseNet (`densen... |
# lpjContainer.py
#
# Copyright (c) 2013 Protectus,LLC. All Rights Reserved.
#
# Classes to help manage temporary storage of traffic in dictionaries
# and writes to mongo
import sys, time
from trafcap import trafcap
from datetime import datetime
import traceback
import pprint
from trafcap.lpjPacket import *
class Lp... |
import pyglet
from pyglet.window import key, FPSDisplay
from pyglet.gl import *
import numpy as np
import time
import gc
start_Window_width = 1200
start_Window_height = 800
class Attribute:
def __init__(self, game):
self.game = game # Attribute knows game it's ... |
# SiMPull simulation
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy.random import rand, randn
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import os
import shutil
np.random.seed()
n_mol = 500
n_frame = 200
n_delay = 50
n_corr = n_... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
from collections import defaultdict
from copy import deepcopy
from bg import Multicolor, KBreak, BreakpointGraph, GRIMMReader, NewickReader, BGGenome
import itertools
from bg.vertices import TaggedInfinityVertex, TaggedBlockVertex
import networkx as nx
import os
__author_... |
''' Recurrent Neural Network in Keras for use on the MIMIC-III '''
from pad_sequences import PadSequences
from sklearn.metrics import confusion_matrix, accuracy_score, roc_auc_score, classification_report
from time import time
from models.tf_base_lstm import Mimic3BaseLstm
from models.tf_lstm import Mimic3Lstm
from m... |
from pm4py.visualization.common import gview
from pm4py.visualization.common import save as gsave
import tempfile
from graphviz import Digraph
import uuid
import math
COLORS = ["#A13CCD", "#05B202", "#39F6C0", "#BA0D39", "#E90638", "#07B423", "#306A8A", "#678225", "#2742FE", "#4C9A75",
"#4C36E9", "#7DB022",... |
##############################################################################
# Copyright (c) 2017 Huawei Technologies Co.,Ltd.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is avai... |
import base64
import datetime
import glob
import hashlib
import json
import logging
import os
import pickle
import shutil
import uuid
from copy import deepcopy
from functools import wraps
from threading import Thread
from typing import Union
import pika
from core_entities.search_space import Hyperparameter
from tools.... |
import numpy as np
import math
import torch
import torch.nn as nn
import torch.nn.functional as F
# use GPU if available
if torch.cuda.is_available():
torch.set_default_tensor_type(torch.cuda.FloatTensor)
else:
torch.set_default_tensor_type(torch.FloatTensor)
class CLUB(nn.Module): # CLUB: Mutual Informatio... |
import logging
import time
import nibabel
import h5py
import zarr
import nibabel as nib
import tracemalloc
from tqdm import tqdm
from pathlib import Path
import numpy as np
from joblib import Parallel, delayed, parallel_backend
from collections import deque, defaultdict
import torch
import zarr
from torch.utils.data im... |
import os
import sys
import argparse
import numpy as np
import cv2
import tqdm
import face_recognition
import math
import dlib
import PIL.Image
from PIL import Image, ImageFile
from matplotlib import pyplot as plt
from PIL import Image, ImageDraw
import imutils
from gen_landmarks import gen_landmark
import math
__ve... |
import clang_util
import util
INCLUDE_GUARD = 'include guard'
INCLUSION_DIRECTIVE = 'include'
ACCESS_SPECIFIER = 'access specifier'
ALIAS = 'alias'
CLASS = 'class'
CLASS_TEMPLATE = 'class template'
CONSTRUCTOR = 'constructor'
CONSTRUCTOR_TE... |
import torch
from torch.utils.data.sampler import BatchSampler, SubsetRandomSampler
from torch.utils.data import Dataset, DataLoader
import numpy as np
import time
class Results(object):
''' Results
Class for storing the results during training.
Could/should be combine with vislogger/logger.
'''
d... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
import numpy as np
import random
from scipy.spatial.distance import cdist
from sklearn.metrics.pairwise import euclidean_distances
from numpy.linalg import inv
from sklearn.metrics.pairwise import cosine_similarity
de... |
import os
import re
import click
from os.path import join
# torch stuff
from torchsummary import summary
import torch
import torch.distributed as dist
from torch.nn.parallel import DistributedDataParallel as DDP
from torch.utils.data import DataLoader, Subset
# mpi4py
import mpi4py
mpi4py.rc.initialize = False
from m... |
# Copyright 2019 <NAME> <<EMAIL>>
# This code is made available under the MIT License
# https://opensource.org/licenses/MIT
import usb_midi
import adafruit_midi
from adafruit_midi.control_change import ControlChange
from adafruit_midi.note_off import NoteOff
from adafruit_midi.note_on ... |
# Kinematic Car Class
# <NAME>
# California Institute of Technology
# May 3, 2018
import os
import sys
sys.path.append("..")
import scipy.io
import numpy as np
from primitives.prim_car import prim_state_dot
from components.auxiliary.tire_data import get_tire_data
from scipy.integrate import odeint
from numpy import co... |
# ===============================
# = IMPORTS =
# ===============================
# import os
# os.environ['CUDA_VISIBLE_DEVICES'] = '-1'
from tkinter import *
import tkinter as tk
from PIL import Image, ImageTk
from tkinter.ttk import *
import tkinter as tk
from tkinter import file... |
"""
Unit tests for contentstore.views.library
More important high-level tests are in contentstore/tests/test_libraries.py
"""
from unittest import mock
from unittest.mock import patch
import ddt
from django.conf import settings
from django.test.utils import override_settings
from django.urls import reverse
from opa... |
import sys, codecs, json, re, time, os, getopt, traceback #, hashlib
import signal, psutil, tldextract
from multiprocessing import Process as Task, Queue
from subprocess import call, PIPE, STDOUT
import multiprocessing as mp
from urllib.parse import urlparse
def getlocaltime():
return time.strftime("%Y-%m-%d %... |
from tests import TestCase, add
from mutagen.id3 import Frames, Frames_2_2, ID3
_22 = ID3(); _22.version = (2,2,0)
_23 = ID3(); _23.version = (2,3,0)
_24 = ID3(); _24.version = (2,4,0)
class FrameSanityChecks(TestCase):
def test_TF(self):
from mutagen.id3 import TextFrame
self.assert_(isinstanc... |
"""
Export a trained model for application use.
Example for use with TensorFlow Serving:
python export.py \
--checkpoint_path model.ckpt-399739 \
--export_dir export \
--export_version 1 \
--config config_export.yaml \
--serving \
--add_preprocess \
--class_names class-codes.txt
Example for use with TensorFlow Mobile... |
import glob
import xarray as xr
from rasterio import features
from affine import Affine
import geopandas as gpd
from shapely import affinity
import sqlite3
import pytz
import numpy as np
import xarray as xr
import glob
import os
import pandas as pd
from lib.db_create.ERA5 import transform_from_latlon, rasterize
import ... |
# satfetcher
'''
This script contains functions for loading various types of
raster data. This includes fetching satellite from Digital Earth
Australia's ODC sandbox instance. Also handles local rasters (geotiffs)
and netcdf files.
Contacts:
<NAME>: <EMAIL>
'''
# import required libraries
import os, sys
import pand... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse
import re
from datetime import date
from operator import attrgetter
from itertools import groupby
from collections import defaultdict, OrderedDict
from dateutil.parser import parse
from colorama import Fore, init, Style
from sqlalchemy import cast, String
... |
import requests
import os
import json
import library.migrationlogger as migrationlogger
import library.utils as utils
import library.localstore as store
import re
import library.clients.entityclient as ec
from library.clients.endpoints import Endpoints
logger = migrationlogger.get_logger(os.path.basename(__file__))
P... |
import logging
from logging.handlers import RotatingFileHandler
import re
from urllib.request import urlopen
from bs4 import BeautifulSoup
import datetime
import json
import time
import pymysql
import mysql_foreign_property
logging.Formatter.converter = time.gmtime
logger = logging.getLogger(__name__)
fileHandler =... |
r"""
For training model.
Consist of some Trainers.
"""
import torch
import argparse
import torch.nn as nn
from pathlib import Path
from torch.cuda.amp import GradScaler
from torch.optim.swa_utils import AveragedModel
from warmup_scheduler_pytorch import WarmUpScheduler
from visual.utils import WRITER
from visual.uti... |
# cloud.py
from tmps.fio import IO
from tmps.atom import Atom
from tmps.units import kB, h
import sys
import numpy as np
from scipy.stats import skew
from numpy import pi
from numpy.linalg import norm
import matplotlib.pyplot as plt
from fastkde import fastKDE
class Cloud(IO):
def __init__(
self,
... |
import json
import math
import copy
import numpy as np
import matplotlib.pyplot as plt
import torch
import torch.distributions as distributions
from daphne import daphne
# funcprimitives
from evaluation_based_sampling import evaluate_program
from tests import is_tol, run_prob_test,load_truth
# Useful functions
from uti... |
# create_database.py
# Copyright 2020 <NAME>
# Licence: See LICENSE.txt (BSD licence)
"""Create empty database with chosen database engine and segment size."""
import tkinter
import tkinter.ttk
import tkinter.filedialog
import tkinter.messagebox
import os
import sys
_deny_sqlite3 = bool(
sys.version_info.major <... |
#!/usr/bin/env python
# Copyright 2020 Virginia Polytechnic Institute and State University.
""" Plotting script for the periodic hill OpenFOAM cases. """
# standard library imports
import os
import argparse
# third party imports
import matplotlib as mpl
import matplotlib.pyplot as plt
from matplotlib.lines import Lin... |
##WZN: 01092018: CAREFUL ABOUT AUMENTATION, it main ruin the saved ground truth!!
#WZN: difference is by reading two additional variables of lidat birdview
import numpy as np
import numpy.random as npr
import cv2
from fast_rcnn.config import cfg
from utils.blob import prep_im_for_blob, im_list_to_blob
from utils.tran... |
# -*- coding:utf-8 -*-
__author__ = 'Gvammer'
import datetime
from PManager.models import PM_Task, PM_Project, Tags,PM_User, PM_Timer, listManager, ObjectTags, PM_User_PlanTime, \
PM_Milestone, PM_ProjectRoles, PM_Reminder, Release, PM_MilestoneChanges
from django.contrib.auth.models import User
from PManager.views... |
import torch
from torch import nn
from torch import optim
from torch.nn import functional as F
from torch.utils.data import TensorDataset, DataLoader
from torch import optim
import numpy as np
from learner import Learner
from copy import deepcopy
import itertools
class Meta(nn.Module):
""... |
import tensorflow as tf
from tensorflow.contrib.layers import flatten
import numpy as np
from utility import weight_variable, bias_variable
# from tensorflow.python.framework import tensor_util
class RetinaSensor(object):
def __init__(self, FLAGS, name='RetinaSensor'):
self.name = name
with tf.vari... |
'''
DDB_TO_ESS
Purpose of this script is to take data for a given DynamoDB Table and add it that into a elasticsearch index
It will add the data in an separate index name to add the info once that is complete it will delete the old index and alias the new index with the old index name
*** edit INDEX_VERSION arg if inde... |
from functools import reduce
import netCDF4
import os
import sys
from .rasterset import Raster
from .simpleexpr import SimpleExpr
from . import hpd
from . import lu
from . import lui
from . import ui
from . import utils
from .utils import outfn
def rcp(scenario, year, hpd_trend):
rasters = {}
lus = [SimpleExpr(... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Tool that allow artists to load assets into DCC scenes
"""
from __future__ import print_function, division, absolute_import
__author__ = "<NAME>"
__license__ = "MIT"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
import os
import logging
import traceback
from funct... |
import numpy as np
import scipy.sparse as sp
import tensorflow as tf
def filter_singletons(edges, adj):
"""
Filter edges that, if removed, would turn one or more nodes into singleton nodes.
Parameters
----------
edges: np.array, shape [P, 2], dtype int, where P is the number of input edges.
... |
#
# Import required packages.
#
from xml.etree import ElementTree
from xml.etree.ElementTree import Element
from xml.etree.ElementTree import SubElement
import logging
import re
import datetime
from xml.dom import minidom
import argparse
__author__ = 'ahmed'
def reader_csv_file(file_name, read_till=99999, skip_heade... |
# -*- coding: utf-8 -*-
#
# This file is part of the SKABaseDevice project
#
#
#
""" SKABASE
A generic base device for SKA.
"""
# PyTango imports
import PyTango
from PyTango import DebugIt
from PyTango.server import run
from PyTango.server import Device, DeviceMeta
from PyTango.server import attribute, command
from ... |
import os, re
def ensure_file(fname):
if not os.path.exists(fname):
open(fname, "w").close()
def ensure_dir(directory):
if not os.path.exists(directory):
os.makedirs(directory)
def get_valid_filename(s):
"""
Get a valid filename given a string s, and return it.
Courtesy of Django'... |
"""Implement of beam_search"""
from mxnet import nd
import numpy as np
import mxnet as mx
from six.moves import xrange
INF = 1. * 1e7
max_iterations = 200
ctx = mx.cpu()
class _StateKeys(object):
"""Keys to dictionary storing the state of the beam search loop."""
# Variable storing the loop index.
CUR_I... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import pickle
import json
import numpy as np
import cv2
DATA_PATH = '../../datasets/kitti/'
DEBUG = False
# VAL_PATH = DATA_PATH + 'training/label_val/'
import os, struct
SPLITS = ['3dop', 'subcnn']
# import _... |
# coding=utf-8
# Filename: daq.py
# pylint: disable=R0903
"""
Pumps for the DAQ data formats.
"""
from __future__ import division, absolute_import, print_function
from io import BytesIO
import math
import struct
from struct import unpack
import pprint
import numpy as np
from km3pipe import Pump, Module, Blob
from k... |
"""
Regression tests for KITO
Author: <NAME> (ZFTurbo), IPPM RAS: https://github.com/ZFTurbo/
"""
from kito import *
import time
try:
from keras.layers import Input, Conv2D, BatchNormalization, Activation, Concatenate, GlobalAveragePooling2D, Dense, \
Conv2DTranspose, Conv3D, Conv1D
from keras.models i... |
import os
import pickle
import datetime
import datasets
import tflearn
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
import pyqt_fit.nonparam_regression as smooth
from pyqt_fit import npr_methods
from scipy.stats import pearsonr
from sklearn.metrics import mean_squared_error
from tensorflo... |
import numpy as np
import numpy.linalg as la
from scipy.constants import elementary_charge
def convert_to_GPa(x):
""" convert eV/A^3 to GPa """
return x*elementary_charge*(10**10)**3/(10**9)
def convert_from_GPa(x):
""" convert GPa to eV/A^3 """
return x/(elementary_charge*(10*... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from utils.common import spatial_filter, depth_to_points, render_pointcloud
from utils.partial_conv import PartialConv2d
class Basic(nn.Module):
def __init__(self, strType, intChannels):
super(Basic, self).__init__()
self.strType = strType
if... |
###
### Multimodal registration with exhaustive search mutual information
### Author: Johan \"{O}fverstedt
###
import torch
import numpy as np
import torch.nn.functional as F
import torch.fft
import torchvision.transforms.functional as TF
import transformations
VALUE_TYPE = torch.float32
# Creates a list of random ... |
"""
dfeines:
- read_shabp(shabp_filename, log=None, debug=False)
- SHABP(log=None, debug=False)
"""
from __future__ import print_function
from numpy import array, zeros, arange, ones, cross
from numpy.linalg import norm # type: ignore
from pyNastran.converters.shabp.shabp_results import ShabpOut
#from pyNastran.con... |
#!/usr/bin/env python
import datetime
from datetime import timedelta
import json
import os
from flask import Flask, jsonify, request, render_template, Response, make_response
from sqlalchemy import and_, func, or_, select, text
from pyfiles.common_helpers import (
datetime_range_str,
dict_groups,
mode_st... |
import sys
import numpy as np
import cv2
from scipy.spatial.transform import Rotation
import imutils
import itertools
import torch
from torchvision import transforms
from torch.hub import load_state_dict_from_url
from rrc_example_package import rearrange_dice_env
import trifinger_simulation.tasks.rearrange_... |
# 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, ... |
import numpy as np
import matplotlib.pyplot as plt
import networkx as nx
import pickle
import torch
from torch import autograd
from torch.optim import Optimizer
import math
from torch.utils.data import Dataset
import scipy
import pandas as pd
import os
from sklearn.model_selection import train_test_split
from sklearn.... |
# import seatease.spectrometers as s # Emulator to test w/o spectrometer
import seabreeze.spectrometers as s
from datetime import datetime
from tkinter.messagebox import showerror
import matplotlib
import numpy as np
from LogPatient import *
from LoginPage import *
from ResetPW import *
from SignUp import *
from m... |
#!/usr/bin/env python
# coding:utf-8
"""crawler.py"""
import argparse
import os
import re
import logging
import datetime
import requests
import csv
import json
import time
from bs4 import BeautifulSoup
# def set_argparse():
# """Set the args&argv for command line mode"""
# parser = argparse.ArgumentParser()
# p... |
# -*- coding: utf-8 -*-
import pandas as pd
import matplotlib.pyplot as plt
from pylab import mpl
from data_source import local_source
mpl.rcParams['font.sans-serif'] = ['FangSong'] # 替换sans-serif字体
def get_all_tradedates(start_date, end_date, freq='daily'):
if freq=='daily':
date_list=local_source.g... |
import mock
import unittest
import numpy
import chainer
from chainer import cuda
import chainer.functions as F
from chainer import gradient_check
from chainer import testing
from chainer.testing import attr
from chainer.testing import condition
from chainer.testing import parameterize
from chainer.utils import conv
... |
import base64
import io
import os
import os.path
import json
import shlex
import tarfile
import tempfile
import warnings
from distutils.version import StrictVersion
from datetime import datetime
import requests
import six
from .. import constants
from .. import errors
from .. import tls
if six.PY2:
from urllib i... |
# Copyright 2020 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 a... |
import discord
from discord.ext import commands
from PIL import Image
import re
from typing import Optional, List
from io import BytesIO
from src.utils import send_message_webhook, doc_url
from src.architus_emoji import ArchitusEmoji
from src.generate.emoji_list import generate
from lib.config import logger
from lib.... |
# Copyright 2019 The ASReview 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 applicabl... |
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# ... |
"""code to analyze results of psychophysical experiment
"""
import h5py
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def summarize_trials(raw_behavioral_path):
r"""Summarize trials in order to determine whether subject was correct or not.
With this, we create a n_trials by 4 array w... |
import collections
import functools
import itertools
import math
import os
import platform
from contextlib import contextmanager
import re
import numpy as np
import torch as th
import torch.distributed as dist
import torch.distributions as dis
import torch.nn.functional as F
from . import logger
from mpi4py import MPI... |
"""This module implements a loader and dumper for the svmlight format
This format is a text-based format, with one sample per line. It does
not store zero valued features hence is suitable for sparse dataset.
The first element of each line can be used to store a target variable to
predict.
This format is used as the... |
'''
"EasyFly" Project by <NAME>
Contact Developer at <EMAIL>
or at http://aadityarengarajan.vercel.app/
Open-Source Software. Documented for all viewers.
Aviation Discord Client with multiple features.
Open-Source Software under the Boost Software License 1.0.
Boost Software License - Version 1.0 - August 17th, 200... |
#Imported Functions
import tensorflow as tf
import numpy as np
import cv2
import time
import math
import os
import serial
from models.nets import cpm_hand_slim
from utils import cpm_utils
#Define port for transmitting data serially to Arduino.
port = '/dev/ttyACM0'
s = serial.Serial(port,115200)
#ignoring tf warning... |
"""Amazon S3 filesystem abstraction layer (PRIVATE)."""
import concurrent.futures
import io
import itertools
import logging
import math
import socket
from contextlib import contextmanager
from typing import Any, BinaryIO, Dict, Iterator, List, Optional, Set, Tuple, Union, cast
import boto3
from botocore.exceptions im... |
#########################################################################
# This is a good place to define materials used through-out the geometry.
#
# This is based on Tyler https://github.com/tyleralion/duneggd, but
# it's gone through quite a few changes. This can provide a base that
# is copied into other gegede g... |
#!/usr/bin/env python
"""
IP address parsing for humans.
Cidrize takes IP address inputs that people tend to use in practice, validates
them, and converts them to objects.
It will intelligently parse IPv4/IPv6 addresses, CIDRs, ranges, and wildcard
matches to attempt return a valid list of IP addresses. It's smart e... |
#!/usr/bin/env python3
# Copyright 2022 The BladeDISC 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 require... |
# -*- coding: utf-8 -*-
'''
.. _module_mc_bind:
mc_bind / named/bind functions
============================================
'''
# Import python libs
import traceback
import logging
import mc_states.api
from copy import deepcopy
import copy
import string
from pprint import pformat
import shutil
import tempfile
impo... |
# Copyright (c) 2017 Hitachi, 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 ... |
# Copyright 2021 The Kubeflow 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... |
# Copyright Notice:
# Copyright 2017-2020 DMTF. All rights reserved.
# License: BSD 3-Clause License. For full text see link: https://github.com/DMTF/Redfish-Schema-Creator/blob/master/LICENSE.md
import re
import sys
import csv
import json
import argparse
import lxml
import xml_convenience
import xml.dom.minidom
impor... |
#!/usr/bin/python3
# Copyright (C) 2021 LEIDOS.
#
# 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 ... |
"""
It includes utilities to search the parameter and model space.
"""
# Author: <NAME> <<EMAIL>>
# License: BSD 3 clause
from sklearn.base import BaseEstimator, ClassifierMixin, RegressorMixin, clone
from sklearn.utils.metaestimators import _BaseComposition
from sklearn.utils.validation import check_is_fitted
from s... |
# Copyright 2021 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, ... |
# -*- coding: utf-8 -*-
# _ __
# | |/ /___ ___ _ __ ___ _ _ ®
# | ' </ -_) -_) '_ \/ -_) '_|
# |_|\_\___\___| .__/\___|_|
# |_|
#
# Keeper Secrets Manager
# Copyright 2021 Keeper Security Inc.
# Contact: <EMAIL>
#
import click
from click_help_colors import HelpColorsGroup, HelpColorsCommand
from click_... |
'''
Interface for mi-pi
'''
from kivy.app import App
from kivy.clock import mainthread
from kivy.logger import Logger
from kivy.properties import StringProperty, BooleanProperty,\
NumericProperty, DictProperty, ReferenceListProperty
from kivy.uix.settings import SettingsWithSidebar
from kivy.uix.boxlayout import ... |
# Copyright (c) 2017 Sony 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 applicabl... |
# Copyright 2019 Xanadu Quantum Technologies Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agre... |
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import argparse
import os
import random
import sys
import torch
import torch.nn.functional as F
from io import StringIO
from fairseq import o... |
#!/usr/bin/env python3
#Copyright (C) 2011 by <NAME>
#
#Released under the MIT license, see LICENSE.txt
"""Wrapper to run the cactus_workflow progressively, using the input species tree as a guide
tree.
"""
import logging
import os
import xml.etree.ElementTree as ET
import timeit
from argparse import ArgumentParser... |
# coding=utf-8
# Copyright 2020 The Google Research 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 applicab... |
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