code: def _get_dtype_input_and_mat_vec(draw, *, with_input=False):
      dim_size = draw(helpers.ints(min_value=2, max_value=5))
      shared_size = draw(helpers.ints(min_value=2, max_value=5))
      dtype = draw(helpers.get_dtypes("float", full=True))
      dtype = [
          draw(
              st.sampled_from(
                  tuple(set(dtype).difference({"bfloat16", "float16"}))
              )
          )
      ]
  
      mat = draw(
          helpers.array_values(
              dtype=dtype[0],
              shape=(dim_size, shared_size),
              min_value=2,
              max_value=5,
          )
      )
      vec = draw(
          helpers.array_values(
              dtype=dtype[0],
              shape=(shared_size,),
              min_value=2,
              max_value=5,
          )
      )
      if with_input:
          input = draw(
              helpers.array_values(
                  dtype=dtype[0],
                  shape=(dim_size,),
                  min_value=2,
                  max_value=5,
              )
          )
          return dtype, input, mat, vec
      return dtype, mat, vec
  
imports: import sys
  import numpy
  from hypothesis import strategies, assume
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_frontend_test
  from ivy_tests.test_ivy.test_functional.test_core.test_linalg import _matrix_rank_helper
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.general_helpers import matrix_is_stable
label_desc: Use image node_id 5 for calling a global function with example usage: _get_dtype_input_and_mat_vec(draw) and returns: dtype,  mat,  vec, dtype,  input,  mat,  vec