class_docstr: Test SLSQP algorithm using Example 14.4 from Numerical Methods for
  Engineers by Steven Chapra and Raymond Canale.
  This example maximizes the function f(x) = 2*x*y + 2*x - x**2 - 2*y**2,
  which has a maximum at x=2, y=1.
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code: def test_gh_6676(self):
      def func(x):
          return (
              (x[0] - 1) ** 2
              + 2 * (x[1] - 1) ** 2
              + 0.5 * (x[2] - 1) ** 2
          )
  
      sol = minimize(func, [0, 0, 0], method="SLSQP")
      assert_(sol.jac.shape == (3,))
  
imports: from __future__ import division, print_function, absolute_import
  import pytest
  from numpy.testing import assert_, assert_array_almost_equal, assert_allclose, assert_equal
  from pytest import raises
  import numpy
  from scipy.optimize import fmin_slsqp, minimize, NonlinearConstraint, Bounds
label_desc: Use image node_id 38 for calling the TestSLSQP obj's underlying member method code with example usage: obj.test_gh_6676() and returns: unknown