code: def create_predictors(y):  # pragma: no cover
      """
      Create first 3 lags of a time series.
      """
      lags = y[-1:-4:-1]
  
      return lags
  
file_path: skforecast/skforecast/ForecasterAutoregMultiSeriesCustom/tests/test_predict_quantiles.py
imports: import pytest
  import numpy
  import pandas
  from skforecast.ForecasterAutoregMultiSeriesCustom import ForecasterAutoregMultiSeriesCustom
  from sklearn.compose import ColumnTransformer
  from sklearn.preprocessing import StandardScaler
  from sklearn.preprocessing import OneHotEncoder
  from sklearn.linear_model import LinearRegression
  from .fixtures_ForecasterAutoregMultiSeriesCustom import series
  from .fixtures_ForecasterAutoregMultiSeriesCustom import exog
  from .fixtures_ForecasterAutoregMultiSeriesCustom import exog_predict
label_desc: Use image node_id 1 for calling a global function with example usage: create_predictors(y) and returns: lags