import numpy as np
from tqdm import tqdm
import pandas as pd
import random
from pathlib import Path
import matplotlib.pyplot as plt
from tqdm import tqdm_notebook
import IPython
import IPython.display
from IPython.display import FileLink
import PIL
import pickle
from sklearn.model_selection import KFold
import torch
import torch.nn as nn
import torch.nn.functional as F
from fastai.core import *
from fastai.basic_data import *
from fastai.basic_train import *
from fastai.torch_core import *
from fastai import *
from fastai.vision import *
from fastai.vision.data import *
from fastai.callbacks import *
import random


import os

def seed_everything(seed):
    random.seed(seed)
    os.environ['PYTHONHASHSEED'] = str(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    torch.cuda.manual_seed(seed)
    torch.backends.cudnn.deterministic = True

SEED = 999
seed_everything(SEED)