class_docstr: LaplacianNd tests
code: def test_1d_specific_shape(self, bc):
      lap = LaplacianNd(grid_shape=(6,), boundary_conditions=bc)
      lapa = lap.toarray()
      if bc == "neumann":
          a = np.array(
              [
                  [-1, 1, 0, 0, 0, 0],
                  [1, -2, 1, 0, 0, 0],
                  [0, 1, -2, 1, 0, 0],
                  [0, 0, 1, -2, 1, 0],
                  [0, 0, 0, 1, -2, 1],
                  [0, 0, 0, 0, 1, -1],
              ]
          )
      elif bc == "dirichlet":
          a = np.array(
              [
                  [-2, 1, 0, 0, 0, 0],
                  [1, -2, 1, 0, 0, 0],
                  [0, 1, -2, 1, 0, 0],
                  [0, 0, 1, -2, 1, 0],
                  [0, 0, 0, 1, -2, 1],
                  [0, 0, 0, 0, 1, -2],
              ]
          )
      else:
          a = np.array(
              [
                  [-2, 1, 0, 0, 0, 1],
                  [1, -2, 1, 0, 0, 0],
                  [0, 1, -2, 1, 0, 0],
                  [0, 0, 1, -2, 1, 0],
                  [0, 0, 0, 1, -2, 1],
                  [1, 0, 0, 0, 1, -2],
              ]
          )
      assert_array_equal(a, lapa)
  
imports: import pytest
  import numpy
  from numpy.testing import assert_array_equal, assert_allclose
  from scipy.sparse import diags, csgraph
  from scipy.linalg import eigh
  from scipy.sparse.linalg import LaplacianNd
  from scipy.sparse.linalg._special_sparse_arrays import Sakurai
  from scipy.sparse.linalg._special_sparse_arrays import MikotaPair
label_desc: Use image node_id 1 for calling the TestLaplacianNd obj's underlying member method code with example usage: obj.test_1d_specific_shape(bc) without return types