import json
import math
import random
import torch



def GetDevice():
    return torch.device("cuda" if torch.cuda.is_available() else "cpu")


def RandomCode():
    code = '';
    chars = '0123456789abcdef'
    count = 8;

    for i in range(0, count):
        code += chars[math.floor(random.randrange(len(chars)))]

    return code


def RoundNumber(number):
    suffixes = ['', 'k', 'm', 'b']

    if number < 1000:
        return str(number)

    magnitude = 0
    while abs(number) >= 1000:
        magnitude += 1
        number /= 1000.0

    return '{:.0f}{}'.format(number, suffixes[magnitude])


def GetNumParams(model):
    size = sum(p.numel() for p in model.parameters())
    rounded_size = RoundNumber(size)

    return size, rounded_size


class Config:
    def __init__(self, data):
        for key, value in data.items():
            if isinstance(value, dict):
                setattr(self, key, Config(value))
            else:
                setattr(self, key, value)


class ConfigParser:
    def __init__(self, path: str):
        with open(path, 'r') as f:
            json_dict = json.load(f)
        
        #config = json.loads(json_str, object_hook=lambda x: SimpleNamespace(**x))
        config = Config(json_dict)

        self.config = config