ajtritt

class MyClass(object):

    def __init__(self, p):
        self.__x = p

    @property
    def x(self):
        return self.__x

ajtritt

BLACK = 0
RED = 1

class Interval(object):

    def __init__(self, start, end):
        self.__start = start
        self.__end = end
        self.__max = end
        self.__left = None

ajtritt

import argparse
import sys
import h5py
import numpy as np

desc = '''
Concatenate one or more .npy files into a dataset into an HDF5 file
'''
parser = argparse.ArgumentParser(description=desc)
parser.add_argument('output_h5', help='the .h5 file to write converted data to')

ajtritt

import argparse
import os
import socket
import torch
from torch import nn
import torch.nn.functional as F
from torchvision import transforms
from torchvision.datasets import MNIST
from torch.utils.data import DataLoader, random_split
import pytorch_lightning as pl