code: def _kronecker_data(draw):
      num_arrays = draw(helpers.ints(min_value=2, max_value=5))
      x_dtype, x = draw(
          helpers.dtype_and_values(
              available_dtypes=helpers.get_dtypes("float"),
              num_arrays=num_arrays,
              large_abs_safety_factor=20,
              small_abs_safety_factor=20,
              safety_factor_scale="log",
              shared_dtype=True,
              min_num_dims=2,
              max_num_dims=2,
          )
      )
      skip_matrix = draw(
          st.lists(
              st.integers(min_value=0, max_value=num_arrays - 1),
              unique=True,
          )
      )
      reverse = draw(st.booleans())
      return x_dtype, x, skip_matrix, reverse
  
imports: import math
  from hypothesis import strategies
  from hypothesis import assume
  import numpy
  import pytest
  import itertools
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers import handle_test, BackendHandler
  import ivy
label_desc: Use image node_id 12 for calling a global function with example usage: _kronecker_data(draw) and returns: x_dtype,  x,  skip_matrix,  reverse