code: def test_specific_input_validation(self):
      A = np.identity(2)
      B = A
  
      # method is implicitly faq
  
      # ValueError Checks: making sure single value parameters are of
      # correct value
      with pytest.raises(ValueError, match="Invalid 'P0' parameter"):
          quadratic_assignment(A, B, options={"P0": "random"})
      with pytest.raises(
          ValueError, match="'maxiter' must be a positive integer"
      ):
          quadratic_assignment(A, B, options={"maxiter": -1})
      with pytest.raises(
          ValueError, match="'tol' must be a positive float"
      ):
          quadratic_assignment(A, B, options={"tol": -1})
  
      # TypeError Checks: making sure single value parameters are of
      # correct type
      with pytest.raises(TypeError):
          quadratic_assignment(A, B, options={"maxiter": 1.5})
  
      # test P0 matrix input
      with pytest.raises(
          ValueError,
          match="`P0` matrix must have shape m' x m', where m'=n-m",
      ):
          quadratic_assignment(
              np.identity(4),
              np.identity(4),
              options={"P0": np.ones((3, 3))},
          )
  
      K = [[0.4, 0.2, 0.3], [0.3, 0.6, 0.2], [0.2, 0.2, 0.7]]
      # matrix that isn't quite doubly stochastic
      with pytest.raises(
          ValueError, match="`P0` matrix must be doubly stochastic"
      ):
          quadratic_assignment(
              np.identity(3), np.identity(3), options={"P0": K}
          )
  
imports: import pytest
  import numpy
  from scipy.optimize import quadratic_assignment, OptimizeWarning
  from scipy.optimize._qap import _calc_score
  from numpy.testing import assert_equal, assert_, assert_warns
label_desc: Use image node_id 2 for calling the TestFAQ obj's underlying member method code with example usage: obj.test_specific_input_validation() without return types