code: def indexes(
      elements=None,  # type: st.SearchStrategy[Ex]
      dtype=None,  # type: Any
      min_size=0,  # type: int
      max_size=None,  # type: int
      unique=True,  # type: bool
  ):
      """Provides a strategy for producing a :class:`pandas.Index`.
  
      Arguments:
  
      * elements is a strategy which will be used to generate the individual
        values of the index. If None, it will be inferred from the dtype. Note:
        even if the elements strategy produces tuples, the generated value
        will not be a MultiIndex, but instead be a normal index whose elements
        are tuples.
      * dtype is the dtype of the resulting index. If None, it will be inferred
        from the elements strategy. At least one of dtype or elements must be
        provided.
      * min_size is the minimum number of elements in the index.
      * max_size is the maximum number of elements in the index. If None then it
        will default to a suitable small size. If you want larger indexes you
        should pass a max_size explicitly.
      * unique specifies whether all of the elements in the resulting index
        should be distinct.
      """
      check_valid_size(min_size, "min_size")
      check_valid_size(max_size, "max_size")
      check_valid_interval(min_size, max_size, "min_size", "max_size")
      check_type(bool, unique, "unique")
  
      elements, dtype = elements_and_dtype(elements, dtype)
  
      if max_size is None:
          max_size = min_size + DEFAULT_MAX_SIZE
      return ValueIndexStrategy(
          elements, dtype, min_size, max_size, unique
      )
  
imports: from __future__ import absolute_import, division, print_function
  from collections import OrderedDict
  from copy import copy
  import attr
  import numpy
  import pandas
  import hypothesis.extra.numpy
  import hypothesis.internal.conjecture.utils
  import hypothesis.strategies._internal.core
  from hypothesis.control import reject
  from hypothesis.errors import InvalidArgument
  from hypothesis.internal.compat import abc, hrange
  from hypothesis.internal.coverage import check, check_function
  from hypothesis.internal.validation import check_type, check_valid_interval, check_valid_size, try_convert
label_desc: Use image node_id 5 for calling a global function with example usage: indexes(elements, dtype, min_size, max_size, unique) and returns: ValueIndexStrategy