lab1 part 2: Batch definition to create training examples issue

[OnigiriJack]

I could pass the test with my code and the solution code however the next code block always fails with the following:

---------------------------------------------------------------------------
IndexError                                Traceback (most recent call last)
[<ipython-input-71-5b7b68580807>](https://n4nxjj8wuum-496ff2e9c6d22116-0-colab.googleusercontent.com/outputframe.html?vrz=colab-20230406-060150-RC00_522300627#) in <cell line: 4>()
      4 for i, (input_idx, target_idx) in enumerate(zip(np.squeeze(x_batch), np.squeeze(y_batch))):
      5     print("Step {:3d}".format(i))
----> 6     print("  input: {} ({:s})".format(input_idx, repr(idx2char[input_idx])))
      7     print("  expected output: {} ({:s})".format(target_idx, repr(idx2char[target_idx])))

IndexError: only integers, slices (`:`), ellipsis (`...`), numpy.newaxis (`None`) and integer or boolean arrays are valid indices

MY code (spoiler: not as elegant)

   input_batch = np.array([])
   output_batch = np.array([])
   for x in range(batch_size):
   slice_end = idx[x] + seq_length
   input_batch = np.append(input_batch, vectorized_songs[idx[x]:slice_end])
   output_batch = np.append(output_batch, vectorized_songs[idx[x] + 1: slice_end + 1])`

[brabiei21]

It's been a while so I hope this is helpful. input_idx and target_idx are floats so you need to cast them into integers.

for i, (input_idx, target_idx) in enumerate(zip(np.squeeze(x_batch), np.squeeze(y_batch))):
    input_idx = int(input_idx)
    target_idx = int(target_idx)
    print(input_idx, target_idx)
    print("Step {:3d}".format(i))
    print("  input: {} ({:s})".format(input_idx, repr(idx2char[input_idx])))
    print("  expected output: {} ({:s})".format(target_idx, repr(idx2char[target_idx])))