code: def _get_second_matrix(draw):
      # batch_shape, shared, random_size
      input_dtype = draw(
          st.shared(
              st.sampled_from(draw(helpers.get_dtypes("float"))),
              key="shared_dtype",
          )
      )
      shared_size = draw(
          st.shared(
              helpers.ints(min_value=2, max_value=4), key="shared_size"
          )
      )
      return input_dtype, draw(
          helpers.array_values(
              dtype=input_dtype,
              shape=(shared_size, 1),
              min_value=2,
              max_value=5,
          )
      )
  
imports: import numpy
  from hypothesis import assume, strategies
  import sys
  import ivy
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test, assert_all_close
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _get_dtype_value1_value2_axis_for_tensordot
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _matrix_rank_helper
label_desc: Use image node_id 7 for calling a global function with example usage: _get_second_matrix(draw) and returns: input_dtype,  draw