class_docstr: The transpose of a matrix expression.
  
  This is a symbolic object that simply stores its argument without
  evaluating it. To actually compute the transpose, use the ``transpose()``
  function, or the ``.T`` attribute of matrices.
  
  Examples
  ========
  
  >>> from sympy import MatrixSymbol, Transpose, transpose
  >>> A = MatrixSymbol('A', 3, 5)
  >>> B = MatrixSymbol('B', 5, 3)
  >>> Transpose(A)
  A.T
  >>> A.T == transpose(A) == Transpose(A)
  True
  >>> Transpose(A*B)
  (A*B).T
  >>> transpose(A*B)
  B.T*A.T
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code: def _eval_derivative_matrix_lines(self, x):
      lines = self.args[0]._eval_derivative_matrix_lines(x)
      return [i.transpose() for i in lines]
  
file_path: sympy/sympy/matrices/expressions/transpose.py
imports: from sympy.core.basic import Basic
  from sympy.matrices.expressions.matexpr import MatrixExpr
  from sympy.assumptions.ask import ask, Q
  from sympy.assumptions.refine import handlers_dict
label_desc: Use image node_id 11 for calling the Transpose obj's underlying member method code with example usage: obj._eval_derivative_matrix_lines(x) and returns: unknown