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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def make_module_to_builder_dict(datasets=None):
 """Get all builders organized by module in nested dicts."""

  # pylint: disable=g-long-lambda
  # dict to hold tfds->image->mnist->[builders]
  module_to_builder = collections.defaultdict(
      lambda: collections.defaultdict(
          lambda: collections.defaultdict(list)))
  # pylint: enable=g-long-lambda

  if datasets:
    builders = [tfds.builder(name) for name in datasets]
  else:
    builders = [
        tfds.builder(name)
        for name in tfds.list_builders()
        if name not in BUILDER_BLACKLIST
    ] + [tfds.builder("image_label_folder", dataset_name="image_label_folder")]

  for builder in builders:
    mod_name = builder.__class__.__module__
    modules = mod_name.split(".")
    if "testing" in modules:
      continue

    current_mod_ctr = module_to_builder
    for mod in modules:
      current_mod_ctr = current_mod_ctr[mod]
    current_mod_ctr.append(builder)

  module_to_builder = module_to_builder["tensorflow_datasets"]
  return module_to_builder