code: def dtype_array_query(
      draw,
      *,
      available_dtypes,
      min_num_dims=1,
      max_num_dims=3,
      min_dim_size=0,
      max_dim_size=10,
      allow_mask=True,
      allow_neg_step=True,
  ):
      dtype = draw(
          helpers.array_dtypes(
              num_arrays=1,
              available_dtypes=available_dtypes,
          )
      )
      shape = draw(
          helpers.get_shape(
              min_num_dims=min_num_dims,
              max_num_dims=max_num_dims,
              min_dim_size=min_dim_size,
              max_dim_size=max_dim_size,
          )
      )
      array = draw(
          helpers.array_values(
              dtype=dtype[0],
              shape=shape,
              large_abs_safety_factor=2,
              small_abs_safety_factor=2,
          )
      )
      if allow_mask and draw(st.booleans()):
          mask_shape = shape[: draw(st.integers(0, len(shape)))]
          index = draw(
              helpers.array_values(
                  dtype="bool",
                  shape=mask_shape,
              ).filter(lambda x: np.sum(x) > 0)
          )
          return dtype + ["bool"], array, index
      supported_index_types = ["int", "slice", "list", "array"]
      index_types = draw(
          st.lists(
              st.sampled_from(supported_index_types),
              min_size=0,
              max_size=len(shape),
          )
      )
      index_types = [
          v if shape[i] > 0 else "slice"
          for i, v in enumerate(index_types)
      ]
      index = []
      for s, index_type in zip(shape, index_types):
          if index_type == "int":
              new_index = draw(
                  st.integers(min_value=-s + 1, max_value=s - 1)
              )
          elif index_type == "seq":
              new_index = draw(
                  st.lists(
                      st.integers(min_value=-s + 1, max_value=s - 1),
                      min_size=1,
                      max_size=20,
                  )
              )
          elif index_type == "array":
              _, new_index = draw(
                  helpers.dtype_and_values(
                      min_value=-s + 1,
                      max_value=s - 1,
                      dtype=["int64"],
                      max_num_dims=4,
                  )
              )
              new_index = new_index[0]
          else:
              start = draw(
                  st.one_of(
                      st.integers(min_value=-2 * s, max_value=2 * s),
                      st.just(None),
                  )
              )
              end = draw(
                  st.one_of(
                      st.integers(min_value=-2 * s, max_value=2 * s),
                      st.just(None),
                  )
              )
              step = draw(
                  st.one_of(
                      (
                          st.integers(min_value=1, max_value=1 + 2 * s)
                          if not allow_neg_step
                          else st.integers(
                              min_value=-1 - 2 * s, max_value=1 + 2 * s
                          ).filter(lambda x: x != 0)
                      ),
                      st.just(None),
                  )
              )
              new_index = slice(start, end, step)
          index += [new_index]
      if len(index_types) and draw(st.booleans()):
          start = draw(
              st.integers(min_value=0, max_value=len(index) - 1)
          )
          min_ = len(index) if len(index_types) < len(shape) else start
          max_ = (
              len(index)
              if len(index_types) < len(shape)
              else len(index) - 1
          )
          end = draw(st.integers(min_value=min_, max_value=max_))
          if start != end:
              index = index[:start] + [Ellipsis] + index[end:]
      for _ in range(draw(st.integers(min_value=0, max_value=3))):
          index.insert(draw(st.integers(0, len(index))), None)
      index = tuple(index)
      if len(index) == 1 and draw(st.booleans()):
          index = index[0]
      return (
          dtype + ["int64"] * index_types.count("array"),
          array,
          index,
      )
  
imports: import numpy
  import hypothesis.extra.numpy
  from hypothesis import strategies
  from hypothesis.internal.floats import float_of
  from functools import reduce
  from operator import mul
  import sys
  import string
  import ml_dtypes
  import ivy_tests.test_ivy.helpers.globals
  from ..pipeline_helper import WithBackendContext
  import ivy_tests.test_ivy.helpers
  from ivy_tests.test_ivy.helpers.hypothesis_helpers.dtype_helpers import get_dtypes
  from .None import general_helpers
  from .None import dtype_helpers, number_helpers
  from ..globals import mod_backend
label_desc: Use image node_id 18 for calling a global function with example usage: dtype_array_query(draw) and returns: unknown,  array,  index, unknown,  array,  index