code: def period_range(
      start=None,
      end=None,
      periods: int | None = None,
      freq=None,
      name: Hashable | None = None,
  ) -> PeriodIndex:
      """
      Return a fixed frequency PeriodIndex.
  
      The day (calendar) is the default frequency.
  
      Parameters
      ----------
      start : str, datetime, date, pandas.Timestamp, or period-like, default None
          Left bound for generating periods.
      end : str, datetime, date, pandas.Timestamp, or period-like, default None
          Right bound for generating periods.
      periods : int, default None
          Number of periods to generate.
      freq : str or DateOffset, optional
          Frequency alias. By default the freq is taken from `start` or `end`
          if those are Period objects. Otherwise, the default is ``"D"`` for
          daily frequency.
      name : str, default None
          Name of the resulting PeriodIndex.
  
      Returns
      -------
      PeriodIndex
  
      Notes
      -----
      Of the three parameters: ``start``, ``end``, and ``periods``, exactly two
      must be specified.
  
      To learn more about the frequency strings, please see `this link
      <https://pandas.pydata.org/pandas-docs/stable/user_guide/timeseries.html#offset-aliases>`__.
  
      Examples
      --------
      >>> pd.period_range(start='2017-01-01', end='2018-01-01', freq='M')
      PeriodIndex(['2017-01', '2017-02', '2017-03', '2017-04', '2017-05', '2017-06',
               '2017-07', '2017-08', '2017-09', '2017-10', '2017-11', '2017-12',
               '2018-01'],
              dtype='period[M]')
  
      If ``start`` or ``end`` are ``Period`` objects, they will be used as anchor
      endpoints for a ``PeriodIndex`` with frequency matching that of the
      ``period_range`` constructor.
  
      >>> pd.period_range(start=pd.Period('2017Q1', freq='Q'),
      ...                 end=pd.Period('2017Q2', freq='Q'), freq='M')
      PeriodIndex(['2017-03', '2017-04', '2017-05', '2017-06'],
                  dtype='period[M]')
      """
      if com.count_not_none(start, end, periods) != 2:
          raise ValueError(
              "Of the three parameters: start, end, and periods, "
              "exactly two must be specified"
          )
      if freq is None and (
          not isinstance(start, Period) and not isinstance(end, Period)
      ):
          freq = "D"
  
      data, freq = PeriodArray._generate_range(
          start, end, periods, freq
      )
      dtype = PeriodDtype(freq)
      data = PeriodArray(data, dtype=dtype)
      return PeriodIndex(data, name=name)
  
imports: from __future__ import annotations
  from datetime import datetime, timedelta
  from typing import TYPE_CHECKING
  import warnings
  import numpy
  from pandas._libs import index
  from pandas._libs.tslibs import BaseOffset, NaT, Period, Resolution, Tick
  from pandas._libs.tslibs.dtypes import OFFSET_TO_PERIOD_FREQSTR
  from pandas.util._decorators import cache_readonly, doc
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_integer
  from pandas.core.dtypes.dtypes import PeriodDtype
  from pandas.core.dtypes.generic import ABCSeries
  from pandas.core.dtypes.missing import is_valid_na_for_dtype
  from pandas.core.arrays.period import PeriodArray, period_array, raise_on_incompatible, validate_dtype_freq
  import pandas.core.common
  import pandas.core.indexes.base
  from pandas.core.indexes.base import maybe_extract_name
  from pandas.core.indexes.datetimelike import DatetimeIndexOpsMixin
  from pandas.core.indexes.datetimes import DatetimeIndex, Index
  from pandas.core.indexes.extension import inherit_names
label_desc: Use image node_id 2 for calling a global function with example usage: period_range(start, end, periods, freq, name) and returns: PeriodIndex