code: def indexes(
      *,
      elements: Optional[st.SearchStrategy[Ex]] = None,
      dtype: Any = None,
      min_size: int = 0,
      max_size: Optional[int] = None,
      unique: bool = True,
      name: st.SearchStrategy[Optional[str]] = st.none(),
  ) -> st.SearchStrategy[pandas.Index]:
      """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.
      * name is a strategy for strings or ``None``, which will be passed to
        the :class:`pandas.Index` constructor.
      """
      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, name
      )
  
imports: from collections import OrderedDict, abc
  from copy import copy
  from datetime import datetime, timedelta
  from typing import Any, List, Optional, Sequence, Set, Union
  import attr
  import numpy
  import pandas
  from hypothesis import strategies
  from hypothesis._settings import note_deprecation
  from hypothesis.control import reject
  from hypothesis.errors import InvalidArgument
  from hypothesis.extra import numpy
  from hypothesis.internal.conjecture import utils
  from hypothesis.internal.coverage import check, check_function
  from hypothesis.internal.reflection import get_pretty_function_description
  from hypothesis.internal.validation import check_type, check_valid_interval, check_valid_size, try_convert
  from hypothesis.strategies._internal.strategies import Ex, check_strategy
  from hypothesis.strategies._internal.utils import cacheable, defines_strategy
label_desc: Use image node_id 5 for calling a global function with example usage: indexes() and returns: ValueIndexStrategy