code: def _get_dtype_and_square_matrix(draw, real_and_complex_only=False):
      if real_and_complex_only:
          dtype = [
              draw(
                  st.sampled_from(
                      ["float32", "float64", "complex64", "complex128"]
                  )
              )
          ]
      else:
          dtype = draw(helpers.get_dtypes("valid"))
      dim_size = draw(helpers.ints(min_value=2, max_value=5))
      mat = draw(
          helpers.array_values(
              dtype=dtype[0],
              shape=(dim_size, dim_size),
              min_value=0,
              max_value=10,
          )
      )
      return dtype, mat
  
imports: import ivy
  from hypothesis import strategies, assume
  import numpy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import assert_all_close
  from ivy_tests.test_ivy.helpers import handle_frontend_test, matrix_is_stable
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _get_dtype_and_matrix
  from ivy_tests.test_ivy.test_frontends.test_tensorflow.test_linalg import _get_second_matrix, _get_cholesky_matrix
  from ivy_tests.test_ivy.test_frontends.test_torch.test_blas_and_lapack_ops import _get_dtype_input_and_mat_vec
label_desc: Use image node_id 3 for calling a global function with example usage: _get_dtype_and_square_matrix(draw, real_and_complex_only) and returns: dtype,  mat