#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sat May 28 05:25:30 2022

@author: tanu
"""

import os

gene  = 'pncA'
drug  = 'pyrazinamide'
#total_mtblineage_u = 8


homedir = os.path.expanduser("~")
os.chdir( homedir + '/git/ML_AI_training/')

from UQ_ML_data import *
setvars(gene,drug)
from UQ_ML_data import *

# from YC run_all_ML: run locally
from UQ_MultModelsCl import MultModelsCl

print('\n#####################################################################\n')
print('TESTING cmd:'
      , '\nGene name:', gene
      , '\nDrug name:', drug
      , '\nTotal input features:', X.shape
      , '\n', Counter(y))

print('Strucutral features (n):'
      , len(common_cols_stabiltyN) + len(foldX_cols) + len(X_strFN)
      , '\nThese are:'
      , '\nCommon stablity features:', common_cols_stabiltyN
      , '\nFoldX columns:', foldX_cols
      , '\nOther struc columns:', X_strFN
      , '\n================================================================\n')

print('Evolutionary features (n):'
      , len(X_evolFN)
      , '\nThese are:\n'
      , X_evolFN
      , '\n================================================================\n')

print('Genomic features (n):'
      , len(X_genomicFN)
      , '\nThese are:\n'
      , X_genomic_mafor, '\n'
      , X_genomic_linegae
      , '\n================================================================\n')

print('Categorical features (n):'
      , len(categorical_FN)
      , '\nThese are:\n'
      , categorical_FN
      , '\n================================================================\n')
print('\n#####################################################################\n')