code: def _get_dtype_and_sequence_of_arrays(draw):
      array_dtype = draw(helpers.get_dtypes("float", full=False))
      arbitrary_size = draw(st.integers(min_value=2, max_value=10))
      values = []
      for i in range(arbitrary_size):
          values.append(
              draw(
                  helpers.array_values(
                      dtype=array_dtype[0],
                      shape=helpers.get_shape(),
                      allow_nan=True,
                  )
              )
          )
      return array_dtype, values
  
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 5 for calling a global function with example usage: _get_dtype_and_sequence_of_arrays(draw) and returns: array_dtype,  values