code: def _get_dtype_input_and_vectors(
      draw, with_input=False, same_size=False
  ):
      dim_size1 = draw(helpers.ints(min_value=2, max_value=5))
      dim_size2 = (
          dim_size1
          if same_size
          else 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"}))
              )
          )
      ]
      vec1 = draw(
          helpers.array_values(
              dtype=dtype[0],
              shape=(dim_size1,),
              min_value=2,
              max_value=5,
          )
      )
      vec2 = draw(
          helpers.array_values(
              dtype=dtype[0],
              shape=(dim_size2,),
              min_value=2,
              max_value=5,
          )
      )
      if with_input:
          input = draw(
              helpers.array_values(
                  dtype=dtype[0],
                  shape=(dim_size1, dim_size2),
                  min_value=2,
                  max_value=5,
              )
          )
          return dtype, input, vec1, vec2
      return dtype, vec1, vec2
  
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 7 for calling a global function with example usage: _get_dtype_input_and_vectors(draw, with_input, same_size) and returns: dtype,  vec1,  vec2, dtype,  input,  vec1,  vec2