code: def test_lin_constraint_jac(self):
      dummy_array = np.array([1.0])
      res = lin_constraint_jac(
          dummy_array,
          flat_idxr=[0, 2],
          coeffs=np.array([1.0, -2.0]),
          n=3,
      )
      self.assertTrue(all(np.equal(res, np.array([1.0, 0.0, -2.0]))))
  
imports: from itertools import product
  from typing import Callable
  import numpy
  import torch
  from botorch.exceptions.errors import CandidateGenerationError, UnsupportedError
  from botorch.optim.parameter_constraints import _arrayify, _generate_unfixed_lin_constraints, _generate_unfixed_nonlin_constraints, _make_linear_constraints, _make_nonlinear_constraints, eval_lin_constraint, lin_constraint_jac, make_scipy_bounds, make_scipy_linear_constraints, make_scipy_nonlinear_inequality_constraints, nonlinear_constraint_is_feasible
  from botorch.utils.testing import BotorchTestCase
  from scipy.optimize import Bounds
label_desc: Use image node_id 3 for calling the TestParameterConstraints obj's underlying member method code with example usage: obj.test_lin_constraint_jac() without return types