new_path.pyBACK

from shared_functions import timerD
from __main__ import data
import os, random
import numpy as np

# dict_keys(['RAW_EEG', 'RAW_ET', 'FFD', 'GD', 'GPT', 'TRT', 'SFD', 'nFix', 'ALPHA_EEG', 'BETA_EEG', 'GAMMA_EEG', 'THETA_EEG'])

# This runs safely in a new thread
os.system("clear")

print(f"len(data): {len(data)} \n ")

x = random.randint(0, len(data))
x_fmt = f"{x:4d}"


min_val,max_val = 1,1
min_val_w,max_val_w = "",""
nFix_list = []
for x in range(len(data)):
# for x in range(len(data))[0:2]:
    words = list(data.keys())
    words.sort()
    word = words[x]

    # print(word)

    # print(f"  data[word]:")
    # for e in data[word]:
    #     print(e.keys())
    #     print(len(e))


    # print(f"  data[{word}]:")

    # print(f"  data[{word}][nFix]:")
    # y = data[word]["nFix"]
    # print(y)
    sum = 0
    for e in data[word]:
        # y = e['nFix']
        y = e['RAW_EEG']
        # for a in y:
        #     print(a)
        if y is not None:
            # print(len(y))
            sum += len(y)
            # print(len(y))
        # print(e.keys())
        # print(len(e))
    # print(f"    sum: {sum}")

    nFix_list.append( [int(sum), word] )
    # if sum < min_val and sum < 0:
    #     min_val = sum
    #     min_val_w = word
    # if sum > max_val:
    #     max_val = sum
    #     max_val_w = word


# print(f"    min_val: {min_val} at \"{min_val_w}\"")
# print(f"    max_val: {max_val} at {max_val_w}")
print()
nFix_list.sort()
for each in nFix_list:
    print(each)
timerD(f"Finished printing \"{word}\".")




# our_list = []
# for k,v in d.items():
#     if v == 2:
#         our_list.append(k)
#
# for each in our_list: arr.remove(each)








#
# # long hand
# d={}
# for each in arr:
#     if each not in d:
#         d[each] = 0
#     d[each] += 1
#
#
#
#
# #short_hand:
# for each in arr:
#     d[each] = d.get(each, 0) + 1
#
#
#
#
# #short_hand:
# from collections import defaultdict
# d = defaultdict(int)
# for each in arr:
#     d[each] += 1