code: def unconvert(values, dtype, compress=None):
      as_is_ext = isinstance(values, ExtType) and values.code == 0
  
      if as_is_ext:
          values = values.data
  
      if is_categorical_dtype(dtype):
          return values
  
      elif is_object_dtype(dtype):
          return np.array(values, dtype=object)
  
      dtype = pandas_dtype(dtype).base
  
      if not as_is_ext:
          values = values.encode("latin1")
  
      if compress:
          if compress == "zlib":
              _check_zlib()
              decompress = zlib.decompress
          elif compress == "blosc":
              _check_blosc()
              decompress = blosc.decompress
          else:
              raise ValueError(
                  "compress must be one of 'zlib' or 'blosc'"
              )
  
          try:
              return np.frombuffer(
                  _move_into_mutable_buffer(decompress(values)),
                  dtype=dtype,
              )
          except _BadMove as e:
              # Pull the decompressed data off of the `_BadMove` exception.
              # We don't just store this in the locals because we want to
              # minimize the risk of giving users access to a `bytes` object
              # whose data is also given to a mutable buffer.
              values = e.args[0]
              if len(values) > 1:
                  # The empty string and single characters are memoized in many
                  # string creating functions in the capi. This case should not
                  # warn even though we need to make a copy because we are only
                  # copying at most 1 byte.
                  warnings.warn(
                      "copying data after decompressing; this may mean that"
                      " decompress is caching its result",
                      PerformanceWarning,
                  )
                  # fall through to copying `np.fromstring`
  
      # Copy the bytes into a numpy array.
      buf = np.frombuffer(values, dtype=dtype)
      buf = buf.copy()  # required to not mutate the original data
      buf.flags.writeable = True
      return buf
  
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 6 for calling a global function with example usage: unconvert(values, dtype, compress) and returns: buf, values, np, np