code: def get_data(
      self, dtype, alpha, beta, transpose_A=False, slice_tensors=False
  ):
      if slice_tensors:
          if transpose_A:
              A_shape = (self.N, self.M * self.slice_step)
          else:
              A_shape = (self.M * self.slice_step, self.N)
          x_shape = (self.N * self.slice_step,)
          y_shape = (self.M * self.slice_step,)
      else:
          if transpose_A:
              A_shape = (self.N, self.M)
          else:
              A_shape = (self.M, self.N)
          x_shape = (self.N,)
          y_shape = (self.M,)
      A = np.random.random(A_shape).astype(dtype)
      x = np.random.random(x_shape).astype(dtype)
      y = np.random.random(y_shape).astype(dtype)
      return (alpha, A, x, beta, y)
  
imports: from warnings import warn
  import numpy
  import pytest
  import pytensor
  import pytensor.tensor
  from pytensor.misc.safe_asarray import _asarray
  from pytensor.tensor.basic import AllocEmpty
  from pytensor.tensor.blas import Ger
  from pytensor.tensor.blas_c import CGemv, CGer, check_force_gemv_init
  from pytensor.tensor.blas_scipy import ScipyGer
  from pytensor.tensor.type import dmatrix, dvector, matrix, scalar, tensor, vector
  from tests import unittest_tools
  from tests.tensor.test_blas import BaseGemv, TestBlasStrides
  from tests.unittest_tools import OptimizationTestMixin
label_desc: Use image node_id 2 for calling the TestCGemvNoFlags obj's underlying member method code with example usage: obj.get_data(dtype, alpha, beta, transpose_A, slice_tensors) and returns: alpha,  A,  x,  beta,  y