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|---|
import math
import warnings
from catalyst.contrib.nn import OneCycleLRWithWarmup
from torch.optim.lr_scheduler import (
_LRScheduler,
ExponentialLR,
CyclicLR,
MultiStepLR,
ReduceLROnPlateau,
CosineAnnealingLR,
CosineAnnealingWarmRestarts,
)
__all__ = ["get_scheduler", "FlatCosineAnnealingL... |
#!/usr/bin/python
#
# Copyright (c) 2013 Protectus,LLC. All Rights Reserved.
#
import sys, time, os, signal
from select import select
import socket
import traceback
from datetime import datetime
import subprocess
from optparse import OptionParser
import math
import configparser
from datetime import timedelta
from ope... |
import pandas as pd
from datetime import datetime
from datetime import timedelta
import logging
import matplotlib.pyplot as plt
import sys
def clean_data(df):
"""
Clean data rows, such as invalid characters, NaN, Landed ...
"""
_df = df.copy()
logging.warning(f'Received df of len {len(_df)}...')
... |
import io
import numpy as np
import sys
import math
import tensorflow as tf
import tensorflow_addons as tfa
import tensorflow_datasets as tfds
def _normalize_img(img, label):
img = tf.cast(img, tf.float32) / 255.
return (img, label)
def get_data(data_type = 'mnist', data_kind='img'):
train_dataset, test... |
#
# read_exif.py
#
# Given a folder of images, read relevant EXIF fields from all images, and write them to
# a .json file. Depends on having exiftool available, since every pure-Python approach
# we've tried fails on at least some fields.
#
# Does not currently support command-line operation.
#
#%% Imports and cons... |
# Copyright 2020 The TensorFlow Quantum 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... |
import os
import random
import pathlib
import logging
import datetime
import argparse
import sys
import simplejson as json
import pandas as pd
import sentencepiece as spm
import pickle
from collections import namedtuple
# logging.basicConfig(format='%(levelname)s: %(message)s',
# level=logging.DEBU... |
import datetime
from sqlalchemy import text
from sqlalchemy.orm import relationship
from sqlalchemy import Integer, Column, String, DateTime, ForeignKey
from urllib.parse import urlparse
from pygmy.database.base import Model
from pygmy.database.dbutil import dbconnection, utcnow
class ClickMeta(Model):
__tablen... |
"""A training script of Soft Actor-Critic on RoboschoolAtlasForwardWalk-v1."""
import argparse
import functools
import logging
import sys
import gym
import gym.wrappers
import numpy as np
import torch
from torch import distributions, nn
import pfrl
from pfrl import experiments, replay_buffers, utils
from pfrl.nn.lmbd... |
""" Functions that are no longer used in my notebooks due to finding more effective functions.
"""
import numpy as np
import numpy.polynomial.polynomial as poly
import matplotlib.pyplot as plt
import os
from scipy import optimize as opt
from scipy.stats import linregress
import math
import pandas as pd
import netCDF4 a... |
# -*- coding: utf-8 -*-
# Copyright (C) 2017 Nippon Telegraph and Telephone 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
#
#... |
import sys
import random
import matplotlib
import matplotlib.animation as animation
import matplotlib.pyplot as plt
import mpl_toolkits.mplot3d.axes3d as p3
from mpl_toolkits.mplot3d import proj3d
import numpy as np
matplotlib.use("Qt5Agg")
from PyQt5 import QtCore
from PyQt5.QtWidgets import QApplication, QMainWindo... |
# -*- coding: utf-8 -*-
# ##### BEGIN GPL LICENSE BLOCK #####
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the License, or (at your option) any later version.
#
#... |
# Copyright (c) 2018 Cisco and/or its affiliates.
# 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 ag... |
import sc2
from sc2.position import Point2
from sc2.units import Units
from typing import List, Callable
import py_trees
from py_trees.composites import Sequence, Selector
from py_trees.idioms import eternal_guard
from py_trees.behaviour import Behaviour
from unit_ai_data import UnitAiOrderType, UnitAiOrder, UnitAiCont... |
#!/usr/bin/env python3
"""
Copyright (c) 2018 The Hyve B.V.
This code is licensed under the GNU Affero General Public License (AGPL),
version 3, or (at your option) any later version.
"""
import argparse
import os
import traceback
import tempfile
import datetime
import sys
import subprocess
def main(args):
"""Pr... |
# =============================================================================
# IMPORTS
# =============================================================================
# Python
from __future__ import unicode_literals
from datetime import datetime, tzinfo, time as datetime_time
import pytz
import warnings
# Django
fr... |
#!/usr/bin/python
######################################################################
# Ascii TMS Viewer
#
#--------------------------------------------------------------------
# <NAME> | Initial Release
#--------------------------------------------------------------------
# ... |
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class unet(nn.Module):
def __init__(self):
super(unet, self).__init__()
self.inplanes = 32
# Encoder
self.convbnrelu1_1 = conv2DBatchNormRelu(in_channels=3, k_size=3, n_filters=16, p... |
from django.shortcuts import render, redirect, get_object_or_404
from blog.forms import UserDbForm
from .models import OrderItem, Order, BillingAddress, ShopMain, Shirts, Shorts, Watches, Pants, Shoes, item, Slippers, \
TopProductOne, TopProduct, LatestProduct, LatestProductOne, ReviewProductOne, ReviewProduct, Pos... |
import PyQt5 as qt
import PyQt5.QtWidgets as ws
import PyQt5.QtGui as gui
import PyQt5.QtCore as core
import subprocess as sub
from sys import path
import os.path
import requests
from bs4 import BeautifulSoup as soup
from threading import Thread
from webbrowser import open_new_tab
class Pip:
def __ini... |
import pygame
from . import pygwrap
import glob
from . import util
MENUFONT = None
INIT_DONE = False
class MenuItem( object ):
def __init__(self,msg,value,desc=None):
self.msg = msg
self.value = value
self.desc = desc
def __lt__(self,other):
""" Comparison of menu items done... |
#!/usr/bin/env python
#-*- coding:utf-8 -*-
#author: wu.zheng midday.me
import os
import json
import cv2
import random
import numpy as np
import time
from dataset import image_augmation
from dataset import data_util
import xml.etree.ElementTree as ET
IMAGE_WIDTH=1024
IMAGE_HEIGHT=1024
NUM_CLASS=3
def load_image_lis... |
# Copyright (c) 2021, Alyf GmbH and contributors
# For license information, please see license.txt
import frappe
from frappe.utils import now_datetime, get_datetime_str, get_date_str, flt
from jira.jira_client import JiraClient
@frappe.whitelist()
def sync_work_logs_from_jira(project=None):
filters = {"enabled": 1}... |
import logging
import os
from collections import OrderedDict
import torch
from torch.nn.parallel import DistributedDataParallel
import imix.engine.hooks as hooks
import imix.utils.distributed_info as comm
from imix.models import build_loss, build_model
from imix.solver import build_lr_scheduler, build_optimizer
from ... |
from __future__ import division, print_function
import numpy as np
def rect_to_points(r):
return (r[0],r[1]), (r[0]+r[2], r[1]+r[3])
def points_to_rect(p1,p2):
return (p1[0],p1[1], p2[0]-p1[0], p2[1]-p1[1])
def union_rect(r1, r2):
(a1,b1),(c1,d1) = rect_to_points(r1)
(a2,b2),(c2,d2) = rect_to_poin... |
import pandas as pd
import ipywidgets as widgets
import src
from IPython.display import clear_output
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import cm
import scipy.stats as sts
def show_tasks_dropdown(dropdown,df=src.get_raw_data()):
display(dropdown)
def dropdown_eventha... |
# -*- coding: utf-8 -*-
# The LLVM Compiler Infrastructure
#
# This file is distributed under the University of Illinois Open Source
# License. See LICENSE.TXT for details.
""" This module is responsible for parsing a compiler invocation. """
import re
import os
import collections
import logging
im... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Event classes.
Event representes events which take plase on browser DOM.
Usually users don't need to instantiate these classes directly.
"""
from asyncio import ensure_future, iscoroutinefunction, Future
from collections import defaultdict, OrderedDict
from typing i... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# This file is part of "trim-ps2" project
#
# Author: <NAME> <<EMAIL>>
# License: BSD 3-Clause "New" or "Revised" License
#
# SPDX-License-Identifier: BSD-3-Clause
# License text is available in the LICENSE file and online:
# http://www.opensource.org/licenses/BSD-... |
# Copyright (c) 2008, Humanized, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright
# notice, this list of conditio... |
#!/usr/local/bin/python
# -*- coding: utf-8 -*-
# file: main.py
import re
import pandas as pd
from os.path import isfile
try:
from .remarkuple import helper as h
except:
from remarkuple import helper as h
from IPython.display import HTML
try:
from .isopsephy import greek_letters as letters
from .isopse... |
import json
import argparse
import pathlib
import time
import datetime
import subprocess
import numpy
import tqdm
import pybullet as bullet
import igl
def get_time_stamp():
return datetime.datetime.now().strftime("%Y-%b-%d-%H-%M-%S")
def save_mesh(meshes, out_path, index):
Vs = []
Fs = []
offset = ... |
import torch
import shutil
import os
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
from sklearn.metrics import confusion_matrix
from sklearn.utils.multiclass import unique_labels
import logging
import datetime
class ImbalancedDatasetSampler(torch.utils.data.sampler.Sample... |
import os
import json
import copy
import asyncio
import datetime
try:
# python2
import __builtin__
except ImportError:
# python3
import builtins as __builtin__
import discord
from discord.ext import tasks
from dotenv import load_dotenv
# load sensitive info
load_dotenv()
TOKEN = os.getenv('DISCORD_TOK... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Unofficial python API to datashake reviews API
(https://www.datashake.com/review-scraper-api)
This module makes it easier to schedule jobs and fetch the results
Official web API documentation: https://api.datashake.com/#reviews
You need to have datashake API key to use... |
#!/usr/bin/env python
# coding:utf-8
# Purpose: Drawing R12
# module belongs to package: dxfwrite.py
# Created: 09.02.2010
# Copyright (C) 2010, <NAME>
# License: MIT License
__author__ = "mozman <<EMAIL>>"
import os
from . import DXFEngine
from .base import *
from .sections import create_section
from . import const... |
# -*- coding: utf-8 -*-
"""
Created on Mon May 28 20:21:27 2018
@author: Administrator
"""
import numpy as np
from MyLibrary import *
FPS=120
screenwidth=288
screenheight=512
fontsize=30
player_filename="players.png"
player_frame_width=48
player_frame_height=48
player_frame_num=4
base_filename="base.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by <NAME> at 2019-06-14
"""add_metacyc_rea_archive.py
:description : script
:param :
:returns:
:rtype:
"""
# note: not finissed
import os
import pickle
import re
import sys
import cobra
import pandas as pd
import My_def
# Disable
def blockPrint():
sy... |
"""
@author: <NAME>
@contact: <EMAIL>
"""
from ifpd2.chromosome import ChromosomeData
import logging
from typing import List, Tuple
class GenomicRegion:
"""Details on genomic region with a central focus region."""
__chrom: bytes
__chromStart: int
__chromEnd: int
__focusStart: int
__focusEnd:... |
"""Load notebook and cells"""
import argparse
import os
import nbformat as nbf
from IPython.core.interactiveshell import InteractiveShell
from reproducemegit.jupyter_reproducibility import config
from reproducemegit.jupyter_reproducibility import consts
import shutil
import subprocess
from reproducemegit.jupyter_repr... |
import numpy as np
import pandas as pd
from scipy import stats
from scipy.stats import ks_2samp
from sklearn.cluster import KMeans
from sklearn.preprocessing import MinMaxScaler, StandardScaler
from sklearn.metrics import silhouette_score
from sklearn.model_selection import KFold
def get_slope(y):
x = np.ones(y... |
# File: exp.py
# Author: raycp
# Date: 2019-05-28
# Description: exp for 2ez4u
from pwn_debug import *
pdbg=pwn_debug("./2ez4u")
pdbg.context.terminal=['tmux', 'splitw', '-h']
pdbg.local("./libc.so","/glibc/x64/2.24/lib/ld-2.24.so")
pdbg.debug("2.24")
pdbg.remote('127.0.0.1', 22)
#p=pdbg.run("local")
#p=pdbg.run("r... |
#!/usr/bin/env python3
#
# Pocket SDR Python AP - Plot PSD and histgrams of digital IF data
#
# Author:
# T.TAKASU
#
# History:
# 2021-10-20 0.1 new
# 2021-12-01 1.0 rename pocket_plot.py -> pocket_psd.py
# add option -h
# 2021-12-10 1.1 improve plotting time
# 2022-01-10 1.2 add OFFSE... |
from __future__ import annotations
import numpy as np
import pandas as pd
import sklearn.linear_model
from sklearn import datasets
from IMLearn.metrics import mean_square_error
from IMLearn.utils import split_train_test
from IMLearn.model_selection import cross_validate
from IMLearn.learners.regressors import Polynomia... |
#!/usr/bin/env python
from __future__ import division
import numpy as np
import lfd.rapprentice.math_utils as mu
from lfd.environment.simulation import DynamicSimulationRobotWorld
from lfd.environment.simulation_object import XmlSimulationObject, BoxSimulationObject, CylinderSimulationObject, RopeSimulationObject
fr... |
import re
import itertools
# Regular expressions built using RegExr
NAME_NO_SPACE = "(?P<name>[a-zA-Z]+)"
NAME = NAME_NO_SPACE + "\s+"
LABEL = "(?P<label>[a-zA-Z_][_0-9a-zA-Z]+)\s*"
IMM = "(?P<imm>-?[0-9][x0-9A-Fa-f]*)\s*"
FIRST = "(?P<first>\$[0-9a-zA-Z]+)\s*"
SECOND = "(?P<second>\$[0-9a-zA-Z]+)\s*"
THIRD = "(?P<thi... |
import logging
import math
from cv2 import split
import numpy as np
from PIL import Image
from torchvision import datasets, transforms
from .transforms.randaugment import RandAugmentMC
logger = logging.getLogger(__name__)
cifar10_mean = (0.4914, 0.4822, 0.4465)
cifar10_std = (0.2471, 0.2435, 0.2616)
cifar100_mean =... |
"""
This file contains helper functions for evaluate_segmentation.py script.
"""
import os
import csv
import xml.etree.cElementTree as ET
import numpy as np
import config
from utils import get_paths
# compare segmentations based on the EvaluateSegmentation software of Taha
def segment_comparison(
goldstandard_... |
from io import FileIO
from dataclasses import dataclass
import os.path as path
from glob import glob
from typing import Any, Dict, TextIO
import numpy as np
import shutil
import rioxarray as rxr
import xarray as xr
import fs
from fs import copy
from fs.osfs import OSFS
from fs.base import FS
import zarr
import xmltod... |
"""
Decorators for common Python developer utility.
"""
from functools import wraps
from collections import OrderedDict
from time import time
from pprint import pformat
from copy import deepcopy
import random
import json
import os
import dill as pickle
import inspect
import traceback
import wasabi
from wasabi import ms... |
"""Objects for recording state of a Markov chain and caching computations."""
import copy
from functools import wraps
from collections import Counter
from mici.errors import ReadOnlyStateError
def _cache_key_func(system, method):
"""Construct cache key for a given system and method pair."""
if not isinstance... |
"""
--- Day 3: Binary Diagnostic ---
--- Part 1 ---
The submarine has been making some odd creaking noises, so you ask it to
produce a diagnostic report just in case.
The diagnostic report (your puzzle input) consists of a list of binary numbers
which, when decoded properly, can tell you many useful things about th... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 2 18:08:00 2019
@author: ben
"""
import pointCollection as pc
#import ATL11
import matplotlib.pyplot as plt
import numpy as np
import os
import sys
import scipy.stats as sps
import argparse
def get_map(map_file, bounds=None):
#if bounds is Non... |
import numpy as np
def laguerre_eval_zero(deg, pts):
return np.polynomial.laguerre.lagval(pts, np.append(np.zeros(deg), 1))
def laguerre_eval_one(deg, pts):
return np.polynomial.laguerre.lagval(pts, np.ones(deg + 1))
class RadialBasis:
def __init__(self, beta):
self.beta = float(beta)
de... |
import json
import logging
import os
import re
from functools import wraps
from pathlib import Path
from re import Pattern
from typing import Iterator, Union, List
import requests
import slack_sdk
from ratelimit import limits, sleep_and_retry
from slackxport.exceptions import SlackXportException
from slackxport.slack... |
# coding=utf-8
# Copyright 2021 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... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import numpy as np
def linealSolverForward(A, b):
"""Solves a system of equations given a lower triangular matrix.
Arguments:
A: Lower triangular matrix. Shape: (n, n)
b: System's solutions. Shape: (n, 1)
Raises:
RuntimeError if A ... |
import csv
import json
from os import listdir
from os.path import isfile, join
import numpy as np
import torch.backends.cudnn as cudnn
from PIL import Image
from tqdm.auto import tqdm
import pandas as pd
from adv_patch_bench.utils import get_box, pad_image
DATASET = 'mapillaryvistas'
# DATASET = 'bdd100k'
if DATASE... |
# ============LICENSE_START=======================================================
# Copyright (c) 2018-2020 AT&T Intellectual Property. All rights reserved.
# ================================================================================
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not... |
import re
import json
import yaml
from random import randint
from invoker import ReplyObject, Command
from data.pokedex import Pokedex
from plugins.pasteImporter import PasteImporter
from plugins.battling.battle import Battle, Pokemon
from plugins.battling.battleLogic import getAction, getSwitch, getLead
# This curren... |
from pybit import HTTP
from pybit.exceptions import InvalidRequestError
from datetime import datetime as dt
import numpy as np
import time
import config
def _print(message, level='info'):
"""
Just a custom print function. Better than logging.
"""
if level == 'position':
print(f'{dt.utcnow()}... |
# -*- coding: utf-8 -*-
# ====================================== #
# @Author : <NAME>
# @Email : <EMAIL>
# @File : stru.py
# ALL RIGHTS ARE RESERVED UNLESS STATED.
# ====================================== #
import pathlib
from collections import OrderedDict
import numpy as np
from ase.units import Angstrom, Bohr... |
import numpy as np
from utils.misc import hamming_distance
# TODO(andre:2018-05-29): Fazer com que as funcoes de movimento realizem o
# numero correto de passos. Atualmente os materiais que sao iguais aos materiais
# da direcao para a qual se esta se movendo contam como um passo mesmo que
# nenhuma mudanca seja reali... |
from __future__ import unicode_literals
from future import standard_library
standard_library.install_aliases()
import unittest
import mock
import json
import pytumblr
from urllib.parse import parse_qs
import sys
import csv
from multiprocessing import Process, Queue
import re
import urllib
import random
... |
import jax
import jax.numpy as jnp
import numpy as np
import pytest
from scipy.integrate import solve_ivp
import tornadox
@pytest.fixture
def ivp():
return tornadox.ivp.vanderpol(t0=0.0, tmax=0.25, stiffness_constant=1.0)
@pytest.fixture
def d(ivp):
return ivp.y0.shape[0]
@pytest.fixture
def steps():
... |
"""PyTorch-compatible datasets.
Guaranteed to implement `__len__`, and `__getitem__`.
See: https://pytorch.org/docs/stable/data.html
"""
import os
import sys
import torch
from PIL import Image
import torch.utils.data
import cv2
import numpy as np
import rasterio as rio
from mercantile import Tile
from robosat_pink... |
#!/usr/bin/env python3
# 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 to in writing, softw... |
# Apply from Tensorflow:
# https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/util/nest.py
"""This module can perform operations on nested structures. A nested
structure is a Python sequence, tuple (including `namedtuple`), or
dict that can contain further sequences, tuples, and dicts.
"""
import ... |
import configparser
import importlib
import numpy as np
import pandas as pd
###############################################################################
#Non-Standard Import
###############################################################################
try:
from . import model_handler as mh
fr... |
import cv2
import logging
import numpy as np
from typing import List, Union, Tuple, Dict
from mot.utils.config import Config
from mot.structures import Tracklet
from mot.utils.io import ImagesCapture
from mot.utils.hcc import hierarchical_cluster
from mot.tracker import build_tracker, Tracker, TrackerState
def _samp... |
#Want C(abcspectra, metaframe)
from pandas import Series, DataFrame
import skspec.core.utilities as pvutils
import skspec.config as pvconfig
from pandas.core.indexing import _LocIndexer
from skspec.units.abcunits import IUnit, Unit, UnitError
import numpy as np
# Exceptions
# ----------
class SpecError(Exception):
... |
import torch
import torch.nn as nn
from modules import content_decoder
from modules import sentence_planner
from sys import exit
from torch.nn.utils.rnn import pack_padded_sequence as pack
from torch.nn.utils.rnn import pad_packed_sequence as unpack
class EncoderRNN(nn.Module):
def __init__(self, opt):
... |
from scipy.ndimage import convolve
from skimage import morphology
import scipy
import time
from staples_detection.algorithms.utils import *
from staples_detection.base.staple_detection_methods import StapleDetectionMethod
from staples_detection.base.result.gradient_staple_detection_result import GradientDirectionResu... |
import numpy as np
import matplotlib.pyplot as plt
class Machine():
def __init__(self, mean, sigma, label):
self.mean = mean
self.sigma = sigma
self.label = label
def sample(self):
return np.random.normal(loc=self.mean, scale=self.sigma, size=1)[0]
class Agent():
def __init__(self, epsilon, Nsteps, Nm... |
#!/usr/bin/env python
from contextlib import contextmanager
from deepdiff import DeepDiff
import fire
import numpy as np
import os
import pandas as pd
import pathlib
from penquins import Kowalski
from pprint import pprint
import questionary
import subprocess
import sys
import tdtax
from tdtax import taxonomy # noqa: F... |
#!/usr/bin/env python3
import math
import logging
import time
import sys
import argparse
import torch
import numpy as np
import pickle
from pathlib import Path
from evaluation.sliding_window import WindowSlidingForwardNodeClassification
from model.tgn import TGN
from utils.utils import setup_logger, CheckPoint, ArgsCo... |
import argparse
import copy
import re
import xml.etree.ElementTree as et
def _bool_to_c_expr(b):
if b is True:
return 'true'
if b is False:
return 'false'
return b
class Extension:
def __init__(self, name, ext_version, enable):
self.name = name
self.ext_version = int(ex... |
import argparse
import numpy as np
import os
from keras import backend as K
from keras.models import load_model
import pdb
import sys
import traceback
import matplotlib.pyplot as plt
import numpy as np
from keras import layers, models, optimizers
from keras import backend as K
from keras.utils import to_c... |
from collections import OrderedDict
from . import BaseULObject
from nineml.base import (
DocumentLevelObject, ContainerObject, DynamicPortsObject)
from .population import Population
from nineml.exceptions import NineMLNameError, NineMLUsageError
from nineml.utils import validate_identifier
from .component_array imp... |
from models.cvdp import CoupledVDP_UnitBox, CoupledVDP
from kaa.experi_init import *
from kaa.timer import Timer
from kaa.modes import BundleTransMode
from kaa.temp.diag_static_strat import RandomDiagStaticStrat
from kaa.templates import MultiStrategy
def test_sapo_CVDP():
num_steps = 40
model = CoupledVDP(de... |
"""
Heuristics to determine whether re-encoding text is actually making it
more reasonable.
"""
import re
import unicodedata
from ftfy.chardata import chars_to_classes
# The following regex uses the mapping of character classes to ASCII
# characters defined in chardata.py and build_data.py:
#
# L = Latin capital let... |
from enum import Enum, IntFlag, unique
from django.db import models
from django.db.models import Model
"""
Django permissions are tied to Models, which are in turn typically tied to
database objects/tables, or "managed". In some cases this may be too granular
for the application; in others, model development may sti... |
from PyQt5.QtWidgets import QWidget, QComboBox, QSpinBox, QDoubleSpinBox, QCheckBox, QLineEdit, QMessageBox
#from bluesky.callbacks import LivePlot, LiveGrid
import bsstudio.window
import matplotlib.pyplot as plt
from collections import Iterable
import time
import re
from IPython import get_ipython
from .lib.pydollarma... |
import json
import logging
import platform
import re
import threading
import time
from collections import namedtuple
from assemblyline.common.importing import class_by_path
from assemblyline.al.common import forge
from assemblyline.al.common.message import Message, MT_SVCHEARTBEAT
from assemblyline.al.common.queue im... |
# Copyright (c) 2022 PaddlePaddle 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 appli... |
#!/usr/bin/python
import time
import threading
import socket
import os
import Steering
class Connection:
#the class 'receiver_of_message' must implement receive_message(message)
def __init__(self, ip_address, port, receiver_of_messages):
self.ip_address = ip_address
self.port = port
se... |
import vdomr as vd
from .viewcontainer import ViewContainer
from .forestviewcontrolpanel import ForestViewControlPanel
import uuid
import multiprocessing
import traceback
import sys
import time
from mountaintools import client as mt
# MEDIUM TODO move tabs between north/south containers
# MEDIUM TODO cross-correlogram... |
from ThesisAnalysis.plotting.setup import ThesisPlotter
from ThesisAnalysis import get_data, get_plot, ThesisHDF5Reader
import os
import numpy as np
from matplotlib.ticker import MultipleLocator, FuncFormatter
from target_calib import CalculateRowColumnBlockPhase, GetCellIDTCArray
def setup_cells(df, camera):
fci... |
import frappe
from frappe.utils import get_link_to_form, now_datetime, nowdate, get_first_day, get_last_day
from frappe import _
from erpnext.hr.doctype.upload_attendance.upload_attendance import get_active_employees
month_list = ['January','February','March','April','May','June','July','August','September','October',... |
# coding: utf-8
import cmath
import numpy as np
from rcwa.common import matmul, redheffer_star_prod, get_input
from rcwa.structure import HomogeneousStructure
from rcwa.source import Source
from rcwa._constants import UNIT_MAT_2D
def save_outputs(R, T):
with open('output.toml', 'w') as fid:
fid.write('[R... |
import os, sys
dir_ReDUCE = os.path.dirname(os.path.dirname(os.path.realpath(__file__)))
sys.path.append(dir_ReDUCE+"/utils")
import gurobipy as go
import numpy as np
from add_piecewise_linear_constraint import add_piecewise_linear_constraint
from add_McCormick_envelope_constraint import add_bilinear_constraint... |
from __future__ import annotations
import base64
from functools import partial
from typing import TYPE_CHECKING, Optional
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import (
QDialog,
QFrame,
QGridLayout,
QHBoxLayout,
QLabel,
QLineEdit,
QPushButton,
QRadioButton,
QSizePolicy,
... |
# coding: utf-8
# In[1]:
"""
Process and export all aqueduct 30 data.
When users want to download the entire dataset, this is what they will get.
Author: <NAME>
Date: 20190711
Kernel: python35
Docker: rutgerhofste/gisdocker:ubuntu16.04
"""
SCRIPT_NAME = "Y2019M07D11_RH_Aqueduct30_Data_Download"
OUTPUT_VERSION =... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Aug 13 08:20:52 2021
@author: smullally
"""
#Code to look at spectrophotometric standards.
import numpy as np
import lightkurve as lk
import matplotlib.pyplot as plt
def examine_tic(ticid):
lcs = lk.search_lightcurve('TIC {}'.format(ticid),... |
'''
Note: Code has been heavily adapted from <NAME>, MD, MPH work on
sequential severity prediction for critically ill patients
(Source: https://github.com/cosgriffc/seq-severityscore)
'''
import numpy as np
import pandas as pd
# Pipeline
from sklearn.pipeline import Pipeline
# Preprocessing
from sklearn.preprocessin... |
import argparse
import os
import json
import faiss
import numpy as np
import pandas as pd
from data import create_multi_splits
from validate import L2norm
from validate import retrieve, KNN, score
# Training settings
parser = argparse.ArgumentParser(description='PyTorch SBIR')
parser.add_argument('--dir-path', type=s... |
import math
import torch
import torch.nn
import torch.nn as nn
from src.nn.layers.coordconv import CoordConv2d, CoordConvTranspose2d, AddCoords, make_conv2d
from src.nn.layers.srm import setup_srm_layer, setup_srm_weights
from src.nn.layers.lambda_layer import LambdaLayer
warned_bad_input_size_power2 = False
from sr... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (c) 2021 <NAME> <<EMAIL>>
#
# MIT License
#
# 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... |
# Copyright 2019-2020 Not Just A Toy Corp.
#
# 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... |
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