import multiprocessing
import time
import numpy as np
import pandas as pd
import torch
from tqdm import tqdm

from md_discovery.multi_process_infer_by_pairs import table_encode, inference_from_record_pairs
from md_discovery import tmp_discover
from settings import er_output_dir, similarity_threshold, target_attr, embedding_dict


def fuck(i):
    i = i * i + 1


def test1():
    li = [[[6, 6, 2],
           [2, 4, 6],
           [2, 4, 7],
           [3, 6, 4]],
          [[6, 2, 7],
           [3, 2, 4],
           [5, 3, 5],
           [6, 2, 4]],
          [[7, 2, 2],
           [6, 3, 2],
           [6, 4, 3],
           [6, 5, 6]]]
    tensor = torch.Tensor(li)
    norm_tensor = torch.nn.functional.normalize(tensor, dim=2)
    print(norm_tensor, '\n')
    sim_ten = torch.matmul(norm_tensor, norm_tensor.transpose(1, 2))
    print(sim_ten / 2 + 0.5, '\n')
    print(sim_ten.size())


def test2():
    multiprocessing.set_start_method("spawn")
    manager = multiprocessing.Manager()
    lock = manager.Lock()
    pool = multiprocessing.Pool(16)
    with manager:
        for _ in tqdm(range(0, 1000)):
            result = pool.apply_async(fuck, args=(_,))
            print(result)


def test3():
    dic = {'description': 0, 'id': 1, 'manufacturer': 0, 'name': 0.9309734582901001, 'price': 0.912541675567627}
    ll = list(dic.values())
    ten = torch.Tensor(ll)
    t = ten.unsqueeze(1)
    t = t.unsqueeze(2)
    y = t.repeat(1, 742, 742)
    print(ten)
    print(y)
    print(torch.isfinite(ten))
    print(torch.count_nonzero(y).item())


def test4():
    one_bool_tensor = torch.ones((3, 3, 3), dtype=torch.bool)
    print(torch.count_nonzero(one_bool_tensor).item())


if __name__ == '__main__':
    start = time.time()
    tp_single_tuple_path = er_output_dir + "tp_single_tuple.csv"
    # tp_mds, tp_vio = inference_from_record_pairs(tp_single_tuple_path, similarity_threshold, target_attr)
    tp_mds, tp_vio = tmp_discover.inference_from_record_pairs(tp_single_tuple_path, similarity_threshold, target_attr)
    print(time.time() - start)