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# Copyright (c) 2016 Universidade Federal Fluminense (UFF)
# Copyright (c) 2016 Polytechnic Institute of New York University.
# This file is part of noWorkflow.
# Please, consult the license terms in the LICENSE file.
"""Lightweight objects for storage during collection"""
from __future__ import (absolute_import, print... |
"""Utility functions for evaluating model fits."""
import numpy as np
from behavenet.fitting.utils import get_best_model_and_data
def export_latents(data_generator, model, filename=None):
"""Export predicted latents using an already initialized data_generator and model.
Latents are saved based on the model'... |
# Additional functions that will eventually end up in mPyPl
import json
import mPyPl as mp
from pipe import Pipe
import os,sys
from moviepy.editor import VideoFileClip
import numpy as np
import random
import cv2
def to_mdict(x):
m = mp.mdict()
for z in x.keys():
m[z] = x[z]
return m
def from_jso... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import math
import libs.utils.gpy_finite_diff as gpy_finite_diff
import libs.utils.gpy_estimation_lib as gpy_estimation_lib
from GPy.util.linalg import pdinv, dpotrs
from GPy.util import diag
import sklearn.linear_model
def plot_paramz_likelihood... |
import struct
import cpuid_native
def cpuid(leaf):
_, a, b, c, d = cpuid_native.get_cpuid(leaf)
return (a, b, c, d)
def cpuid_count(leaf, subleaf):
_, a, b, c, d = cpuid_native.get_cpuid_count(leaf, subleaf)
return (a, b, c, d)
def cpu_vendor():
_, b, c, d = cpuid(0)
return struc... |
# -*- coding: utf-8 -*-
import json
import os
import re
import shlex
from collections import namedtuple
from subprocess import CalledProcessError
from typing import Iterable
from chmod_monkey import tmp_chmod
from dockerfile_parse import DockerfileParser
from dotty_dict import Dotty
from ..copy.actions import copy_fr... |
##
## MIT License
##
## Copyright (c) 2017 <NAME>
##
## Permission is hereby granted, free of charge, to any person obtaining a copy
## of this software and associated documentation files (the "Software"), to deal
## in the Software without restriction, including without limitation the rights
## to use, copy, modify,... |
from __future__ import print_function
from sympy import *
from eqn_manip import *
# Solve for cubic spline coefficients using a straightforward (but inefficient) derivation
# from the defining equations.
# Generates unit tests for the spline coefficient solver (CubicSplineSolve in SplineSolvers.h)
# and the evaluat... |
import torch
from torch import nn
import torch.nn.functional as F
import torchvision.models.resnet as resnet
from mtl.datasets.definitions import RESNET34PATH
from mtl.utils.pytorch_code import load_state_dict_from_url
class BasicBlockWithDilation(torch.nn.Module):
"""Workaround for prohibited dilation in BasicBl... |
import json
import os
import pickle
from collections import Counter, deque
from multiprocessing import Pool
import networkx as nx
import textdistance
import tqdm
from quantlaw.utils.beautiful_soup import create_soup
from quantlaw.utils.files import ensure_exists, list_dir
from quantlaw.utils.networkx import get_leaves... |
# encoding: utf-8
# @author: zxding
# email: <EMAIL>
import codecs
import random
import numpy as np
import pickle as pk
from sklearn.metrics import precision_score, recall_score, f1_score
import pdb, time
def print_time():
print('\n----------{}----------'.format(time.strftime("%Y-%m-%d %X", time.local... |
"""Sphinx configuration defaults for LSST Stack packages.
Notes
-----
Some configurations based on astropy-helpers
https://github.com/astropy/astropy-helpers/blob/master/astropy_helpers/sphinx/conf.py
see licenses/astropy-helpers.txt
"""
__all__ = ("build_package_configs", "build_pipelines_lsst_io_configs")
import d... |
import numpy as np
import h5py
from sklearn.decomposition import PCA
from Starfish.grid_tools import HDF5Interface, determine_chunk_log
from Starfish.covariance import sigma, V12, V22
from Starfish import constants as C
class PCAGrid:
def __init__(self, wl, min_v, flux_mean, flux_std, pcomps, w, gparams):
... |
#!/usr/bin/env python
import vtk
def main():
colors = vtk.vtkNamedColors()
# Set the background color.
colors.SetColor("BkgColor", [51, 77, 102, 255])
titles = list()
textMappers = list()
textActors = list()
uGrids = list()
mappers = list()
actors = list()
renderers = list(... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
import atexit
import argparse
import os
import time
import json
import warnings
import inspect
import codecs
import imageio
from atx import consts
from atx import errors
from atx import imutils
from ... |
# -*- coding:utf-8 -*-
import logging
logger = logging.getLogger(__name__)
import ast
import re
import os.path
import tempfile
import shutil
import hashlib
import stat
from prestring.python import PythonModule
from functools import partial
from collections import namedtuple
from io import StringIO
from kamo.expr import... |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the datalad package for the
# copyright and license terms.
#
# ## ### ##... |
# Copyright (C) 2018 by <NAME> <<EMAIL>>
#
# Licensed under the Apache License, Version 2.0 (the "License"); you
# may not use this file except in compliance with the License. You may
# obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import logging
from pathlib import Path
from typing import List, Optional, Tuple, Union
import numpy as np
import pandas as pd
from datasets import Dataset, DatasetDict
from pyannote.audio import Pipeline
from pydub import AudioSegment
from sklearn.model_selec... |
'''Train CIFAR10 with PyTorch.'''
# Cifar-10 dataset을 closed-set으로 학습을 시키고 SVHN test dataset을 openset으로 Test하는 코드입니다.
# SVHN 데이터셋은 검색해보시면 어떠한 데이터셋인지 나올 겁니다.
import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torchvision
impor... |
import os, re
import matplotlib.cm as cm
import matplotlib.pyplot as plt
import math
import numpy as np
from threading import Thread
import time
import json
FILE_NAME = os.path.basename(__file__)
CURR_DIR = os.path.dirname(__file__)
BASE_DIR = os.path.dirname(CURR_DIR)
import sys
sys.path.insert(-1, CURR_DIR)
sys.path... |
import copy
import math
import random
import os
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import time
import datetime
import os
import torch
import torch.nn as nn
import torch.nn.functional as F
from torchvision import datasets, transforms
from torch.utils.data import Dat... |
#Importations And Value Table Creation#
from random import randint
bot_field = [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
[0, 0,... |
#!/usr/bin/env python
# coding: utf-8
# In[1]:
import streamlit as st
import re
from IPython.display import display
import numpy as np
import shutil
import posixpath
import plotly.graph_objects as go
# EDA Pkgs
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import joblib
import pickle
import... |
"""
Copyright 2021 Max-Planck-Gesellschaft
Code author: <NAME>, <EMAIL>
Embodied Vision Group, Max Planck Institute for Intelligent Systems, Tübingen
This source code is licensed under the MIT license found in the
LICENSE.md file in the root directory of this source tree or at
https://opensource.org/licenses/MIT.
"""
... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import pickle
import shutil
import sys
import random
import json
import time
import datetime
import argparse
from itertools i... |
# General Headers####################
import numpy as np
import copy
#####################################
# sklearn headers##################################
import xgboost as xgb
from sklearn.metrics import roc_auc_score, accuracy_score
from sklearn.model_selection import KFold
from sklearn.neighbors import NearestN... |
# -*- coding: utf-8 -*-
"""
@file
@brief Defines a :epkg:`sphinx` extension to describe a function,
inspired from `autofunction <https://github.com/sphinx-doc/sphinx/blob/master/sphinx/ext/autodoc/__init__.py#L1082>`_
and `AutoDirective <https://github.com/sphinx-doc/sphinx/blob/master/sphinx/ext/autodoc/__init__.py#L1... |
# Copyright 2019 DeepMind Technologies Limited.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# ======================================================================
# Copyright 2020 <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
#
#... |
"""
https://stackoverflow.com/questions/29362142/django-rest-framework-hyperlinkedidentityfield-with-multiple-lookup-args
http://www.tomchristie.com/rest-framework-2-docs/api-guide/relations
https://github.com/miki725/formslayer/blob/master/formslayer/pdf/relations.py#L7-L46
https://stackoverflow.com/questions/32038643... |
#! /usr/bin/env python
#
# [VPYTHON:BEGIN]
# wheel: <
# name: "infra/python/wheels/psutil/${vpython_platform}"
# version: "version:5.2.2"
# >
# wheel: <
# name: "infra/python/wheels/six-py2_py3"
# version: "version:1.10.0"
# >
# [VPYTHON:END]
#
# Copyright 2020 The ANGLE Project Authors. All rights reserved.
# Use ... |
# -*- coding: utf-8 -*-
# Copyright 2018, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""Backend for the JKU C++ simulator."""
import itertools
import json
import logging
import operator
import os
import platfo... |
import logging
from tqdm import tqdm
import time
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.autograd import Variable
from torch.utils.data import DataLoader
from torchvision.models.densenet import densenet121
import matplotlib.pyplot as plt
import torchvisi... |
#!/usr/bin/env python
#
# Copyright 2014 cloudysunny14.
#
# 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... |
import csv
import yaml
import random
from collections import defaultdict
from gurobipy import *
import template.adapter as adapter
from fixed.source import Source
from fixed.fixed_instance import FixedInstance
from network.links import Links
from network.nodes import Nodes
from template.arc import Arc
from t... |
import logging
from timeit import default_timer as timer
import os
import cv2
import math
import math_utils
import numpy as np
from opensfm import dataset
from opensfm import features
from opensfm import io
from opensfm import log
from opensfm import types
from opensfm.commands import undistort
from opensfm.context im... |
import re
from decimal import Decimal
from datetime import datetime
import attr
import pytz
from pathlib import Path
from zope.interface import implementer
from .. import handhistory as hh
from ..card import Card
from ..hand import Combo
from ..constants import Limit, Game, GameType, Currency, Action, MoneyType
__all_... |
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 20 18:17:02 2016
@author: <NAME> <EMAIL>
"""
# -*- coding: utf-8 -*-
"""
Parameter Optimizer. Test before rolling into Image Analys
"""
#%%
Vers="0.1"
#%% Imports
#
import tkinter as tk
from tkinter import filedialog, ttk
import lmfit
from PIL import Image
import os
... |
# coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
from collections import OrderedDict
import numpy as np
from pyiron_atomistics.atomistics.structure.atoms import Atoms
im... |
"""A module containing tests for the library representation of default values."""
import pytest
import iati.codelists
import iati.constants
import iati.default
import iati.schemas
import iati.tests.utilities
class TestDefault:
"""A container for tests relating to Default data."""
@pytest.fixture(params=[
... |
import sqlite3
import time
from datetime import datetime, timedelta
from typing import Union
import psutil
from pathlib2 import Path
# Is a stripped down program object to differentiate between running programs and given programs to track
from manager_core import Settings
# TODO add type hints for all classes
class... |
# coding=utf-8
#
# Copyright (c) 2017 Illumina, Inc.
# All rights reserved.
#
# This file is distributed under the simplified BSD license.
# The full text can be found here (and in the LICENSE file in the root folder of
# this distribution):
#
# https://github.com/Illumina/licenses/blob/master/Simplified-BSD-License.tx... |
# -*- coding: utf-8 -*-
"""
Created on Fri Dec 4 16:53:14 2020
@author: Specim
"""
import os
import spectral.io.envi as envi
import numpy as np
import matplotlib.pyplot as plt
from pathlib import Path
from scipy import signal
import pandas as pd
import re
from argparse import ArgumentParser
def dec... |
"""
Validation of PacBio dataset XML (and referenced files)
"""
import xml.etree.ElementTree as ET
from cStringIO import StringIO
from urlparse import urlparse
import xml.parsers.expat
import traceback
import itertools
import argparse
import logging
import os.path
import sys
try:
from pyxb import exceptions_ as ... |
#!/usr/bin/env python3
# This file is covered by the LICENSE file in the root of this project.
#https://github.com/PRBonn/semantic-kitti-api
import numpy as np
import math
import time
class PanopticEval:
""" Panoptic evaluation using numpy
authors: <NAME> and <NAME>
"""
def __init__(self, n_classes, de... |
from __future__ import annotations # Needed for returning the same class type where using factory static builders
import base64
import hashlib
import json
import logging
import os
import platform
import random
import string
import time
import uuid
from datetime import datetime
from typing import Optional, List
from ... |
# Author: <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 wr... |
from typing import Text, Dict, Any
from sagas.nlu.patterns import print_result
from sagas.nlu.rules_header import *
import sagas.tracker_fn as tc
import logging
logger = logging.getLogger(__name__)
#⊕ [nmod](https://universaldependencies.org/u/dep/nmod.html)
def verb_patterns(meta, domains):
behaviours_obl = la... |
import flask
import sqlalchemy
from flask import Response
from flask_restplus import Namespace, Resource, fields, inputs
from model.models import db
from utils import sql_query_generator, log_query
api = Namespace('query', description='Operations to perform queries using metadata')
query = api.model('Query', {
#... |
# <NAME>
from tkinter import *
from tkinter.ttk import *
from matplotlib.backends.backend_tkagg import (FigureCanvasTkAgg, NavigationToolbar2Tk)
from matplotlib.backend_bases import key_press_handler
from matplotlib.figure import Figure
# allows buttons to take multiple inputs
from functools import partial
import ... |
import asyncio
import json
import logging
import os
import re
import shutil
import string
from collections import Counter
from dataclasses import dataclass, asdict, field
from random import random
from typing import List, Optional, Dict, Generator
import aiofiles
import github
import time
import github_util
git_hub ... |
"""
source:
https://stackoverflow.com/questions/65498782/how-to-dump-confusion-matrix-using-tensorboard-logger-in-pytorch-lightning
https://pytorch-lightning.readthedocs.io/en/latest/starter/introduction_guide.html
https://medium.com/pytorch/introduction-to-captum-a-model-interpretability-library-for-pytorch-d23659... |
import csv
import glob
import math
import os
import torch
from astropy.io import fits
from six.moves import urllib
import torch
is_torchvision_installed = True
try:
import torchvision
except:
is_torchvision_installed = False
import torch.utils.data
import random
import itertools
import numpy as np
def load_... |
"""其他自定义因子、分类器、过滤器
由于存在大量依赖，整合在一个模块中
说明：
1. 雅虎数据基础单位：千
"""
import numpy as np
import pandas as pd
from . import factors, filters, classifiers
from ..utils.math_utils import nanmean, nansum, nanmax
from ..utils.numpy_utils import changed_locations, int64_dtype
from .classifiers import CustomClassifier
from .data.... |
import datetime
from typing import Union
import pandas as pd
from tepuy.processes import SimEvent, SimProcess, EmptyProcess
from logging import Logger
import numpy as np
class IntelligentObject:
def __init__(self, name: str):
self.__name = name
self.__logger = Logger(name=name)
self.__avai... |
# from pprint import pprint
# import json
import asyncio
import operator
import random
import discord
from dateparser import parse
from discord.ext import commands
from discord.ext.commands import MessageConverter, EmojiConverter
from django.db.models import F
import config
from francis.utils.role import is_image_url... |
#
# The SELDnet architecture
#
from keras.layers import Bidirectional, Conv2D, MaxPooling2D, Input, Concatenate
from keras.layers.core import Dense, Activation, Dropout, Reshape, Permute
from keras.layers import add, multiply, GlobalAveragePooling2D, ELU
import keras.backend as K
from keras.layers.recurrent import GRU... |
"""
Copyright 2019 Cartesi Pte. Ltd.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use
this file except in compliance with the License. You may obtain a copy of the
License at http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software d... |
#Importing Libraries
from tkinter import *
from tkinter import messagebox as ms
import tkinter as tk
import tkinter.font as tkFont
import album as a
from PIL import ImageTk, Image
import pygame
import os
import socket
import _thread
#Initiallizing host credentials
host_name = socket.gethostname()
host_ip... |
import json
from datetime import datetime
import os.path, sys
import time
import locale
try:
import requests
except ModuleNotFoundError:
import pip
pip.main(['install', "requests"])
import requests
# Указываем токен вашего телеграм бота, если хотите его использовать.
# Add your telegram bot token if y... |
#!/usr/bin/env python
"""Provides encoding into graphs for proteins."""
from Bio.PDB import Selection, NeighborSearch
from collections import defaultdict
from collections import deque
import networkx as nx
from networkx import union
from toolz import curry, compose
# ac properties
aa_properties_dict = {
"fullname... |
#!/usr/bin/python3
# -*- coding: utf-8 -*-
"""GPU Usage.
Outputs GPU usage in a Line chart along with memory usage in a bar chart.
Author:
<NAME> <<EMAIL>>
Created on:
December 13, 2019
"""
from curses import newwin, KEY_RESIZE, doupdate
import curses
from math import ceil, floor
import argparse
from thread... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" Implementation of the HRG structure....
Stick to returning None vs. raising Exceptions for the HRG...
"""
from __future__ import unicode_literals, division, print_function #Py2
__author__ = "<NAME>"
__email__ = "<EMAIL>"
class DuplicateItemInRelation(Exception):
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
""" wrappers.py
Abstract classes for objects that can wrap any objects and make their attributes/methods accessible from the wrapper.
StaticWrapper calls wrapped attributes/methods by creating property descriptor objects for each of the wrapped objects'
attributes/methods.... |
import curses
import romkan #kana/romaji conversion
import re #trim leftover characters from incomplete input conversion
def loopOn(input):
if isinstance(input,list):
for i in input:
yield i;
else: yield input;
class UIComponentBase:
def __init__(self, win):
self.win = win;
def clear(self):
sel... |
import operator
import django.urls
import ipware.ip
import ipware.ip
from django.contrib.auth.decorators import login_required
from django.db import transaction
from django.db.models import Prefetch, Min
from django.http.response import (HttpResponseNotFound,
JsonResponse,
... |
import re
import os
import math
import torch
import numpy as np
import torch.nn.functional as F
from sklearn.metrics import roc_auc_score
EPOCHS = 5
BATCH_SIZE = 2048
# def train_model_v2(model, device, train_label_path, train_idx_path, train_value_path, optimizer, epoch,
# use_reg_l1=False, use_r... |
from __future__ import division, print_function
import numpy as np
import cPickle as pickle
import os, glob
import argparse
from utils import models
from utils.sample_helpers import JumpProposal, get_parameter_groups
from enterprise.pulsar import Pulsar
from enterprise import constants as const
from PTMCMCSampler.PT... |
import numpy as np
import matplotlib.pyplot as plt
from random import random
eps = 8.8541878e-12
mu = 4.0e-7 * np.pi
R = 6371000.0
def plot_map(
s_lat, s_lon, s_int, m_lat, m_lon, show=True, save=False, filename="schupy_map.png"
):
import cartopy.crs as ccrs
assert len(s_lat) == len(s_lon), 's_lat s... |
import tempfile
import numpy as np
import h5py
from pyscf import lib
#einsum = np.einsum
einsum = lib.einsum
# This is restricted (R)CCSD
# Ref: Hirata et al., J. Chem. Phys. 120, 2581 (2004)
### Eqs. (37)-(39) "kappa"
def cc_Foo(t1,t2,eris):
nocc, nvir = t1.shape
foo = eris.fock[:nocc,:nocc]
Fki = foo.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import math
from datetime import date, timedelta
from django.core.urlresolvers import reverse_lazy
from django.db import m... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
# ---------------------------------------------------------------------------
# ___ __ __ __ ___
# / | \ | \ | \ / Automatic
# \__ |__/ |__/ |___| \__ Annotation
# \ | | |... |
import logging
from typing import Union
from copy import deepcopy
from glob import glob
from numpy import array, ndarray, round
from pandas.errors import ParserError
from tqdm import tqdm
from os.path import join
import matplotlib
import matplotlib.pyplot as plt
matplotlib.use('TkAgg')
from . import utilities as util... |
import os, sys, pymzml, pickle, shutil, argparse
import numpy as np
import pandas as pd
import scipy.signal
import scipy.optimize as opt
import pyteomics.mass as pymass
import matplotlib.pyplot as plt
DEFAULT_MIN_CLUSTER_WIDTH = 5
DEFAULT_EXTRACTION_WIDTH = 0.01
DEFAULT_EXTRACTION_LENGTH = 0.5
DEFAULT_ISOTOPE_WEIGHT =... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
################################################################################
# Copyright (c) 2020 ContinualAI #
# Copyrights licensed under the MIT License. #
# See the accompanying LICENSE... |
# Produce the Overscreening Figure
import json
import numpy as np
import matplotlib.pyplot as plt
import os
# Stylistic preferences
from matplotlib import rc, rcParams
from collections import OrderedDict
# ---------------------------------------------------
# Color sets
# --------------------------------------------... |
import numpy as np
def get_Pnm_n(nmax, m, theta):
"""
Calculation of associated Legendre functions P(n,m) (Schmidt normalized)
and its derivative dP(n,m) vrt. theta.
Input: theta[:] co-latitude (in rad)
nmax maximum spherical harmonic degree
Output: Pnm ndarray PD with Leg... |
"""
Created on Feb 25, 2018
@author: <NAME>
Description of the file.
"""
import os
import argparse
import time
import datetime
import pickle
import numpy as np
import torch
import torch.autograd
import sklearn.metrics
import vsrl_eval
import datasets
import units
import models
import config
import logutil
import... |
import os
import argparse
import numpy as np
import tensorflow as tf
from keras.layers import Input
from dataset import QuasarTDataset, get_trimmed_embeddings, pad_sequences
from constants import DATA, TRAINED_MODELS, PARAMS
from utils import Timer
class PairwiseModel:
def __init__(self, model_name, embeddings, ... |
"""
LICENSE:
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, softwar... |
from collections import defaultdict, Counter
from datatable_util import AttributeDict, CSV_GivenHeaders, FIXEDWIDTH, JoinType, sortKey
from hierarchies import Hierarchy
import os
from datatable import DataTable, DataColumn
from itertools import chain
from functools import reduce
def createColumnFilter(criteria):
if c... |
#Import dependencies.
import numpy as np
import ModularRoboticsToolkit as mrt
import sys
################
######MELT######
################
#Find the most populated line in the structure, so modules can be appended to it.
def findMeltCoordinates(structure):
#Count how many modules are behind a face of voxels.
... |
import os
import pickle
import argparse
import math
import numpy as np
import pandas as pd
import torch
from torch import nn
from pyro.infer.util import torch_item
from pyro.contrib.util import lexpand, rexpand
from torch.distributions.utils import broadcast_all
from pyro.poutine.util import prune_subsample_sites
imp... |
import threading
import datetime
import PySimpleGUIQt as sg
from PySimpleGUIQt.PySimpleGUIQt import (
BUTTON_TYPE_BROWSE_FILE,
BUTTON_TYPE_BROWSE_FILES,
BUTTON_TYPE_SAVEAS_FILE,
BUTTON_TYPE_BROWSE_FOLDER,
POPUP_BUTTONS_NO_BUTTONS,
WIN_CLOSED,
)
from toolbox_creator.globe_icon import globe_icon
f... |
# %%
from functools import partial
import logging
import numpy as np
import torch
import colorsys
from torchvtk.utils import make_5d, tex_from_pts
# Persistent Homology peak extraction
class Peak:
def __init__(self, startidx):
self.born = self.left = self.right = startidx
self.died = None
d... |
# Copyright 2017 Mycroft AI 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 writin... |
import sys
from math import hypot
import json
from vectorMap import VectorMap
from const import CONST
from pprint import PrettyPrinter
pp = PrettyPrinter(indent=2).pprint
ARROW_NAME_SEPARATER = "/"
class MapAuthoring(object):
def __init__(self, vectorMap):
self.__vectorMap = vectorMap
self.__view... |
import logging
from warnings import warn
from typing import Dict, Union, Tuple, NamedTuple, Optional, TypeVar
from typing_extensions import final, Final
from numbers import Number
import typing
from lomentum.types import (
ContextDict, Symbol, RoutesDictType)
from functools import partial
from contextlib import ... |
import sys
import re
import math
BEGIN = 'BEGIN'
END = 'END'
class Pawky:
"""The base `awk` class. It contains almost all the `awk` builtin variables and functions.
These builtin variables from `awk` are currently available.
:ivar str CONVFMT: Format for internal conversion of numbers to string, initi... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# ================================================================
# @Time : 2019/10/30 10:11
# @Author : YangTao
# @Site :
# @File : train_lanenet_like_yolo.py
# @IDE: PyCharm Community Edition
# ================================================================
"... |
"""
<Program Name>
runlib.py
<Author>
<NAME> <<EMAIL>>
<Started>
June 27, 2016
<Copyright>
See LICENSE for licensing information.
<Purpose>
Provides a wrapper for any command of the software supply chain.
The wrapper performs the following tasks which are implemented in this
library.
- Record st... |
import os
import random
import time
from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from selenium.webdriver.common.action_chains import ActionChains
import linecache
import... |
from nanome.util import Logs, Color
import time
import traceback
import os
import random
import shutil
class TestOptions():
def __init__(self, ignore_vars = [], accurate_floats = False, print_float_warnings = False):
self.ignore_vars = ignore_vars
self.accurate_floats = accurate_floats
self... |
#!python3
"""
Module for creating the PDF reports from reports tables
"""
import warnings
import os
import zipfile
import pandas as pd
from fpdf import FPDF
from datetime import date
from modules import filework
TOP_MARGIN = 0.75
BOTTOM_MARGIN = 0.75
LEFT_MARGIN = 0.5
RIGHT_MARGIN = 0.5
LINE_WIDTH ... |
""" Helper methods for loading and parsing KITTI data.
Author: <NAME>
Date: September 2017
"""
from __future__ import print_function
import tensorflow as tf
import numpy as np
import cv2
import os
class Object3d(object):
""" 3d object label """
def __init__(self, label_file_line=None):
# each object... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# <NAME> (March 2018)
#
"""
Wrapper for Verena Zuber's colocalisation method
Assumptions:
- GWAS and cov matrix are referring to the same strand
"""
import sys
import argparse
import pandas as pd
import numpy as np
import Finemap
import pickle
def main():
# Ge... |
'''
Data structure of the input .npz:
the data is save in python dictionary format with keys: 'acs', 'ep_rets', 'rews', 'obs'
the values of each item is a list storing the expert trajectory sequentially
a transition can be: (data['obs'][t], data['acs'][t], data['obs'][t+1]) and get reward data['rews'][t]
'''
import os... |
# Copyright 2019 Systems & Technology Research, LLC
# Use of this software is governed by the license.txt file.
import pandas as pd
import imageio
import numpy as np
import six
import os
from pathlib import Path
import torch
from torch.autograd import Variable
import random
import shutil
import skimage.transform
impor... |
# a waf tool to add autoconf-like macros to the configure section
import Build, os, sys, Options, preproc, Logs
import string
from Configure import conf
from samba_utils import *
import samba_cross
missing_headers = set()
####################################################
# some autoconf like helpers, to make the ... |
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