code: def compose(self, x, known_axes_lengths: dict[str, int]):
      xp = x.__array_namespace__()
  
      for axis_len, axis_name in zip(x.shape, self.decomposed_shape):
          if axis_name in known_axes_lengths:
              assert known_axes_lengths[axis_name] == axis_len
          else:
              known_axes_lengths[axis_name] = axis_len
  
      x = xp.permute_dims(x, self.compose_transposition)
      new_shape = []
      for axis_group in self.composed_shape:
          composed_axis_size = 1
          for axis_name in axis_group:
              composed_axis_size *= known_axes_lengths[axis_name]
          new_shape.append(composed_axis_size)
  
      return xp.reshape(x, tuple(new_shape))
  
file_path: einops/einops/experimental/indexing.py
imports: from typing import List, Union, TypeVar, Tuple
  from einops import EinopsError
label_desc: Use image node_id 3 for calling the CompositionDecomposition obj's underlying member method code with example usage: obj.compose(x, known_axes_lengths) and returns: xp