code: def check_clifford_t(op, use_decomposition=False):
      r"""Checks whether the gate is in the standard Clifford+T basis.
  
      For a given unitary operator :math:`U` acting on :math:`N` qubits, which is not a T-gate,
      this method checks that the transformation :math:`UPU^{\dagger}` maps the Pauli tensor products
      :math:`P = {I, X, Y, Z}^{\otimes N}` to Pauli tensor products using the decomposition of the
      matrix for :math:`U` in the Pauli basis.
  
      Args:
          op (~pennylane.operation.Operation): the operator that needs to be checked
          use_decomposition (bool): if ``True``, use operator's decomposition to compute the matrix, in case
              it doesn't define a ``compute_matrix`` method. Default is ``False``.
  
      Returns:
          Bool that represents whether the provided operator is Clifford+T or not.
      """
      # Get the base operation for an adjointed operation
      base = getattr(op, "base", None)
  
      # Save time and check from the pre-computed list
      if isinstance(op, _CLIFFORD_T_GATES) or isinstance(
          base, _CLIFFORD_T_GATES
      ):
          return True
  
      # Save time and check from the parameter of rotation gates
      if isinstance(op, _PARAMETER_GATES) or isinstance(
          base, _PARAMETER_GATES
      ):
          theta = op.data[0]
          return (
              False
              if qml.math.is_abstract(theta)
              else qml.math.allclose(qml.math.mod(theta, math.pi), 0.0)
          )
  
      return _check_clifford_op(op, use_decomposition=use_decomposition)
  
file_path: pennylane/pennylane/transforms/decompositions/clifford_t_transform.py
imports: import math
  import warnings
  from itertools import product
  from typing import Sequence, Callable
  import pennylane
  from pennylane.queuing import QueuingManager
  from pennylane.transforms.core import transform
  from pennylane.tape import QuantumTape
  from pennylane.transforms.optimization import cancel_inverses, commute_controlled, merge_rotations, remove_barrier
  from pennylane.transforms.optimization.optimization_utils import find_next_gate, _fuse_global_phases
  from pennylane.ops.op_math.decompositions.solovay_kitaev import sk_decomposition
label_desc: Use image node_id 2 for calling a global function with example usage: check_clifford_t(op, use_decomposition) and returns: _check_clifford_op, True, unknown