code: def measure(
      measurementprocess: MeasurementProcess,
      state: TensorLike,
      is_state_batched: bool = False,
  ) -> TensorLike:
      """Apply a measurement process to a state.
  
      Args:
          measurementprocess (MeasurementProcess): measurement process to apply to the state
          state (TensorLike): the state to measure
          is_state_batched (bool): whether the state is batched or not
  
      Returns:
          Tensorlike: the result of the measurement
      """
      return get_measurement_function(measurementprocess, state)(
          measurementprocess, state, is_state_batched
      )
  
file_path: pennylane/pennylane/devices/qubit/measure.py
imports: from typing import Callable
  from scipy.sparse import csr_matrix
  from pennylane import math
  from pennylane.ops import Sum, Hamiltonian
  from pennylane.measurements import StateMeasurement, MeasurementProcess, MeasurementValue, ExpectationMP
  from pennylane.pauli.conversion import is_pauli_sentence, pauli_sentence
  from pennylane.typing import TensorLike
  from pennylane.wires import Wires
  from .apply_operation import apply_operation
label_desc: Use image node_id 7 for calling a global function with example usage: measure(measurementprocess, state, is_state_batched) and returns: get_measurement_function