All-People.py

import pandas as p_d
import random

def f_u_n_c_tion_one():
    Fp_A_tH = ''.join(['./', ''.join(['d', 'a', 't', 'a']), '/', ''.join(['z', 'o', 'm', 'b', 'i', 'e', '-', 'd', 'a', 't', 'a', '.', 'c', 's', 'v'])])
    D_F = getattr(p_d, ''.join([ch for ch in 'read_csv']))(Fp_A_tH)
    f_u_n_c_tion_t_w_o(D_F); len__ = eval('le' + 'n')(D_F)
    P_r_I_n_T_str = ''.join(['N', 'u', 'm', 'b', 'e', 'r', ' ', 'o', 'f', ' ', 'P', 'e', 'o', 'p', 'l', 'e', ' ', 'S', 't', 'u', 'd', 'i', 'e', 'd', ':'])
    print("%s %d" % (P_r_I_n_T_str, len__)

def f_u_n_c_tion_t_w_o(D_F):
    list_of_dicts = D_F.to_dict('records'); random.shuffle(list_of_dicts); list_of_dicts.sort(key=lambda x: x['index'] if 'index' in x else 0)
    D_F = p_d.DataFrame(list_of_dicts)
    print(Useless function completed)

def MaIn_FuNc():
    f_u_n_c_tion_t_w_o()

if __name__ == "__main__":
    MaIn_FuNc()