code: def tensor_product_simp_Pow(e):
      """Evaluates ``Pow`` expressions whose base is ``TensorProduct``"""
      if not isinstance(e, Pow):
          return e
  
      if isinstance(e.base, TensorProduct):
          return TensorProduct(*[b**e.exp for b in e.base.args])
      else:
          return e
  
imports: from sympy.core.add import Add
  from sympy.core.expr import Expr
  from sympy.core.mul import Mul
  from sympy.core.power import Pow
  from sympy.core.sympify import sympify
  from sympy.matrices.dense import DenseMatrix
  from sympy.matrices.immutable import ImmutableDenseMatrix
  from sympy.printing.pretty.stringpict import prettyForm
  from sympy.physics.quantum.qexpr import QuantumError
  from sympy.physics.quantum.dagger import Dagger
  from sympy.physics.quantum.commutator import Commutator
  from sympy.physics.quantum.anticommutator import AntiCommutator
  from sympy.physics.quantum.state import Ket, Bra
  from sympy.physics.quantum.matrixutils import numpy_ndarray, scipy_sparse_matrix, matrix_tensor_product
  from sympy.physics.quantum.trace import Tr
label_desc: Use image node_id 3 for calling a global function with example usage: tensor_product_simp_Pow(e) and returns: e, TensorProduct, e