code: def test_predict_in_sample_non_int_index(
      y, model, start, end, exp_len
  ):
      # issue 499
      model.fit(y)
      preds = model.predict_in_sample(start=start, end=end)
      assert preds.shape[0] == exp_len
  
imports: import numpy
  import pandas
  from pmdarima.arima import ARIMA, auto_arima, AutoARIMA, ARMAtoMA
  from pmdarima.arima import _validation
  from pmdarima.compat.pytest import pytest_error_str
  from pmdarima.datasets import load_lynx, load_wineind, load_heartrate
  from numpy.random import RandomState
  from numpy.testing import assert_array_almost_equal, assert_almost_equal, assert_allclose
  from statsmodels import api
  from sklearn.metrics import mean_squared_error
  import datetime
  import joblib
  import os
  import pickle
  import pytest
  import tempfile
  import time
label_desc: Use image node_id 5 for calling a global function with example usage: test_predict_in_sample_non_int_index(y, model, start, end, exp_len) without return types