code: def test_pad_arrays_pad_left():
      arrays = [d["target"] for d in list(iter(get_dataset()))]
      padded_arrays = _pad_arrays(arrays, 1, is_right_pad=False)
  
      for padded_array in padded_arrays[1:]:
          assert np.allclose(padded_array[:, 0], 0)
  
imports: import itertools
  from functools import partial
  from typing import Iterable
  import numpy
  from pandas.tseries.frequencies import to_offset
  import pytest
  from gluonts.dataset.common import Dataset
  from gluonts.dataset.loader import DataBatch, InferenceDataLoader, TrainDataLoader
  from gluonts.mx.batchify import _pad_arrays, batchify, stack
  from gluonts.testutil.dummy_datasets import get_dataset
  from gluonts.transform import ContinuousTimeInstanceSplitter, ContinuousTimeUniformSampler, ContinuousTimePredictionSampler
label_desc: Use image node_id 11 for calling a global function with example usage: test_pad_arrays_pad_left() without return types