code: def _get_dtype_and_vector(draw):
      # batch_shape, shared, random_size
      input_dtype = draw(
          st.shared(
              st.sampled_from(draw(helpers.get_dtypes("numeric"))),
              key="shared_dtype",
          )
      )
      batch_shape = draw(
          helpers.get_shape(min_num_dims=2, max_num_dims=4)
      )
      return [input_dtype], draw(
          helpers.array_values(
              dtype=input_dtype,
              shape=tuple(list(batch_shape) + [3]),
              min_value=2,
              max_value=5,
          )
      )
  
imports: import sys
  import numpy
  from hypothesis import assume, strategies
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
label_desc: Use image node_id 4 for calling a global function with example usage: _get_dtype_and_vector(draw) and returns: list,  draw