code: def read_msgpack(
      path_or_buf, encoding="utf-8", iterator=False, **kwargs
  ):
      """
      Load msgpack pandas object from the specified
      file path
  
      THIS IS AN EXPERIMENTAL LIBRARY and the storage format
      may not be stable until a future release.
  
      Parameters
      ----------
      path_or_buf : string File path, BytesIO like or string
      encoding : Encoding for decoding msgpack str type
      iterator : boolean, if True, return an iterator to the unpacker
                 (default is False)
  
      Returns
      -------
      obj : same type as object stored in file
      """
      path_or_buf, _, _, should_close = get_filepath_or_buffer(
          path_or_buf
      )
      if iterator:
          return Iterator(path_or_buf)
  
      def read(fh):
          unpacked_obj = list(unpack(fh, encoding=encoding, **kwargs))
          if len(unpacked_obj) == 1:
              return unpacked_obj[0]
  
          if should_close:
              try:
                  path_or_buf.close()
              except IOError:
                  pass
          return unpacked_obj
  
      # see if we have an actual file
      if isinstance(path_or_buf, compat.string_types):
          try:
              exists = os.path.exists(path_or_buf)
          except (TypeError, ValueError):
              exists = False
  
          if exists:
              with open(path_or_buf, "rb") as fh:
                  return read(fh)
  
      if isinstance(path_or_buf, compat.binary_type):
          # treat as a binary-like
          fh = None
          try:
              # We can't distinguish between a path and a buffer of bytes in
              # Python 2 so instead assume the first byte of a valid path is
              # less than 0x80.
              if compat.PY3 or ord(path_or_buf[0]) >= 0x80:
                  fh = compat.BytesIO(path_or_buf)
                  return read(fh)
          finally:
              if fh is not None:
                  fh.close()
      elif hasattr(path_or_buf, "read") and compat.callable(
          path_or_buf.read
      ):
          # treat as a buffer like
          return read(path_or_buf)
  
      raise ValueError(
          "path_or_buf needs to be a string file path or file-like"
      )
  
imports: from datetime import date, datetime, timedelta
  import os
  from textwrap import dedent
  import warnings
  from dateutil.parser import parse
  import numpy
  import pandas.compat
  from pandas.compat import u, u_safe
  from pandas.errors import PerformanceWarning
  from pandas.util._move import BadMove, move_into_mutable_buffer
  from pandas.core.dtypes.common import is_categorical_dtype, is_datetime64tz_dtype, is_object_dtype, needs_i8_conversion, pandas_dtype
  from pandas import Categorical, CategoricalIndex, DataFrame, DatetimeIndex, Float64Index, Index, Int64Index, Interval, IntervalIndex, MultiIndex, NaT, Panel, Period, PeriodIndex, RangeIndex, Series, TimedeltaIndex, Timestamp
  from pandas.core import internals
  from pandas.core.arrays import DatetimeArray, IntervalArray, PeriodArray
  from pandas.core.arrays.sparse import BlockIndex, IntIndex
  from pandas.core.generic import NDFrame
  from pandas.core.internals import BlockManager, _safe_reshape, make_block
  from pandas.core.sparse.api import SparseDataFrame, SparseSeries
  from pandas.io.common import _stringify_path, get_filepath_or_buffer
  from pandas.io.msgpack import ExtType, Packer, Unpacker
label_desc: Use image node_id 2 for calling a global function with example usage: read_msgpack(path_or_buf, encoding, iterator) and returns: Iterator, unpacked_obj, unpacked_obj, read, read, read