code: def arrays_and_axes(
      draw,
      available_dtypes=get_dtypes("float"),
      allow_none=False,
      min_num_dims=1,
      max_num_dims=5,
      min_dim_size=1,
      max_dim_size=10,
      num=2,
      return_dtype=False,
      force_int_axis=False,
  ):
      """Generate a list of arrays and axes.
  
      Parameters
      ----------
      draw
          special function that draws data randomly (but is reproducible) from a given
          data-set (ex. list).
      available_dtypes
          if dtype is None, data type is drawn from this list randomly.
      allow_none
          if True, one of the dimensions can be None
      min_num_dims
          The minimum number of dimensions the arrays can have.
      max_num_dims
          The maximum number of dimensions the arrays can have.
      min_dim_size
          The minimum size of the dimensions of the arrays.
      max_dim_size
          The maximum size of the dimensions of the arrays.
      num
          The number of arrays to be generated
      return_dtype
          If `True`, return a tuple of the form `(dtype, arrays, axes)` instead of
          `(arrays, axes)`
      force_int_axis
          If `True` and only one axis is drawn for each array, the returned axis will be
          an integer instead of a tuple containing one integer or `None`
  
  
      Returns
      -------
          A strategy that draws arrays and their axes
  
      Examples
      --------
      >>> arrays_and_axes(
      ...     allow_none=False,
      ...     min_num_dims=1,
      ...     max_num_dims=2,
      ...     min_dim_size=2,
      ...     max_dim_size=4,
      ...     num=2,
      ...     return_dtype=True,
      ... )
      (['float16', 'float16'], [array([[-1., -1.],
          [-1., -1.]], dtype=float16), array([[-1., -1.],
          [-1., -1.]], dtype=float16)], (None, None))
  
      >>> arrays_and_axes(
      ...     allow_none=False,
      ...     min_num_dims=1,
      ...     max_num_dims=2,
      ...     min_dim_size=2,
      ...     max_dim_size=4,
      ...     num=2,
      ...     return_dtype=True,
      ... )
      (['float16', 'float32'],
          [array([ 1.5 , -8.33], dtype=float16),
          array([8.26e+00, 9.10e+00, 6.72e-05], dtype=float16)],
          (0, None))
  
      >>> arrays_and_axes(
      ...     allow_none=False,
      ...     min_num_dims=1,
      ...     max_num_dims=2,
      ...     min_dim_size=2,
      ...     max_dim_size=4,
      ...     num=2,
      ...     return_dtype=True,
      ... )
      (['float64', 'float32'],
          [array([-1.1, -12.24322108]),
          array([[-2.44758124e-308, 8.26446279e+000, 5.96046448e-008],
          [1.17549435e-038, 1.06541027e-001, 1.13725760e+001]])],
          (None, None))
  
      >>> arrays_and_axes(
      ...     num=1,
      ...     force_int_axis=True,
      ... )
      ([array([0.07143888])], 0)
  
      >>> arrays_and_axes(
      ...     num=1,
      ...     force_int_axis=True,
      ... )
      ([array([-2.44758124e-308])], None)
  
      >>> arrays_and_axes(
      ...     num=1,
      ...     force_int_axis=True,
      ... )
      ([array([-6.72e-05, -6.72e-05, -6.72e-05, -6.72e-05, -6.72e-05],
          dtype=float16)], 0)
      """
      shapes = []
      for _ in range(num):
          shape = draw(
              gh.get_shape(
                  allow_none=False,
                  min_num_dims=min_num_dims,
                  max_num_dims=max_num_dims,
                  min_dim_size=min_dim_size,
                  max_dim_size=max_dim_size,
              )
          )
          shapes.append(shape)
      if isinstance(available_dtypes, st._internal.SearchStrategy):
          available_dtypes = draw(available_dtypes)
  
      dtype = draw(
          dtype_helpers.array_dtypes(
              num_arrays=num, available_dtypes=available_dtypes
          )
      )
      arrays = []
      for shape in shapes:
          arrays.append(
              draw(
                  array_values(
                      dtype=dtype[0],
                      shape=shape,
                      min_value=-20,
                      max_value=20,
                  )
              )
          )
      if force_int_axis:
          # ToDo: the following code references shape as the last element in shapes
          # while this is not the intended behavior of the code. This is a bug
          # that should be fixed in the future.
          if len(shape) <= 2:
              axes = draw(
                  st.one_of(st.integers(0, len(shape) - 1), st.none())
              )
          else:
              axes = draw(st.integers(0, len(shape) - 1))
      else:
          all_axes_ranges = []
          for shape in shapes:
              if None in all_axes_ranges:
                  all_axes_ranges.append(st.integers(0, len(shape) - 1))
              else:
                  all_axes_ranges.append(
                      st.one_of(
                          st.none(), st.integers(0, len(shape) - 1)
                      )
                  )
          axes = draw(st.tuples(*all_axes_ranges))
      if return_dtype:
          return dtype, arrays, axes
      return arrays, axes
  
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 8 for calling a global function with example usage: arrays_and_axes(draw, available_dtypes, allow_none, min_num_dims, max_num_dims, min_dim_size, max_dim_size, num, return_dtype, force_int_axis) and returns: arrays,  axes, dtype,  arrays,  axes