code: def delete_ind_from_array(array, ind, axis=0):
      start = tuple(([slice(None)] * axis) + [slice(0, ind)])
      end = tuple(
          ([slice(None)] * axis)
          + [slice(ind + 1, array.shape[axis] + 1)]
      )
      tensor = np.concatenate([array[start], array[end]], axis)
      return tensor
  
imports: import functools
  import os
  import sys
  import time
  from absl import logging
  from dopamine.discrete_domains import atari_lib
  from dopamine.discrete_domains import iteration_statistics
  from dopamine.discrete_domains import run_experiment
  from dopamine.labs.atari_100k import normalization_utils
  from dopamine.metrics import collector_dispatcher
  from dopamine.metrics import statistics_instance
  import gin
  import jax
  import numpy
  import tensorflow
label_desc: Use image node_id 2 for calling a global function with example usage: delete_ind_from_array(array, ind, axis) and returns: tensor