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# Nativos
from dateutil.relativedelta import relativedelta
from time import gmtime, strftime
from datetime import datetime
import random as rn
import joblib
import time
import json
import sys
import os
import gc

#nube
from sagemaker.processing import ProcessingInput, ProcessingOutput
from sagemaker.sklearn.processing import SKLearnProcessor
from sagemaker import get_execution_role
import awswrangler as wr
import sagemaker
import boto3


#calculo
import pandas as pd
import numpy as np
import scipy

#grafico
from IPython.display import display
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
sns.set(style="whitegrid")

#Interacciones con output
import warnings
warnings.filterwarnings("ignore")
# warnings.simplefilter(action=&#039;ignore&#039;, category=FutureWarning)
pd.set_option(&#039;display.max_rows&#039;, 500)
pd.set_option(&#039;display.max_columns&#039;, 500)
pd.set_option(&#039;display.width&#039;, 1000)

from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.ast_node_interactivity = "all"

gc.collect()
# MODELS
##from lightgbm import LGBMClassifier

BASE_DIR = os.path.dirname(os.getcwd())
if BASE_DIR not in sys.path: sys.path.append(BASE_DIR)
    
BASE_DIR = os.path.dirname(os.path.dirname(os.getcwd()))
if BASE_DIR not in sys.path: sys.path.append(BASE_DIR)
print("BASE_DIR::: ", BASE_DIR)
#import scorecardpy as sc

SEED = 29082013
os.environ[&#039;PYTHONHASHSEED&#039;] = str(SEED)
np.random.seed(SEED)
rn.seed(SEED)


from utils_campania import *