class_docstr: A NumPy ndarray-like object abstracted as shape and dtype.
  
  Main use is for representing input and output signatures.
docstr: Creates a copy of the object with some parameters replaced.
docstr_tok: ["Creates","a","copy","of","the","object","with","some","parameters","replaced","."]
code: def replace(self, **kwargs):
      """Creates a copy of the object with some parameters replaced."""
      return type(self)(
          shape=kwargs.pop("shape", self.shape),
          dtype=kwargs.pop("dtype", self.dtype),
      )
  
file_path: trax/trax/shapes.py
imports: import numpy
  import tensorflow
label_desc: Use image node_id 7 for calling the ShapeDtype obj's underlying member method code with example usage: obj.replace() and returns: type