code: def __init__(
      self,
      freq: str,
      one_dim_target: bool = True,
      use_timestamp: bool = False,
  ) -> None:
      # TODO: create a FormatDescriptor object that can be derived from a
      # TODO: Metadata and pass it instead of freq.
      # TODO: In addition to passing freq, the descriptor should be carry
      # TODO: information about required features.
      self.trans = cast(
          List[Callable[[DataEntry], DataEntry]],
          [
              ProcessStartField(freq=freq, use_timestamp=use_timestamp),
              # The next line abuses is_static=True in case of 1D targets.
              ProcessTimeSeriesField(
                  FieldName.TARGET,
                  is_required=True,
                  is_cat=False,
                  is_static=one_dim_target,
              ),
              ProcessTimeSeriesField(
                  FieldName.FEAT_DYNAMIC_CAT,
                  is_required=False,
                  is_cat=True,
                  is_static=False,
              ),
              ProcessTimeSeriesField(
                  FieldName.FEAT_DYNAMIC_REAL_LEGACY,  # backwards compatible
                  is_required=False,
                  is_cat=False,
                  is_static=False,
              ),
              ProcessTimeSeriesField(
                  FieldName.FEAT_DYNAMIC_REAL,
                  is_required=False,
                  is_cat=False,
                  is_static=False,
              ),
              ProcessTimeSeriesField(
                  FieldName.PAST_FEAT_DYNAMIC_REAL,
                  is_required=False,
                  is_cat=False,
                  is_static=False,
              ),
              ProcessTimeSeriesField(
                  FieldName.FEAT_STATIC_CAT,
                  is_required=False,
                  is_cat=True,
                  is_static=True,
              ),
              ProcessTimeSeriesField(
                  FieldName.FEAT_STATIC_REAL,
                  is_required=False,
                  is_cat=False,
                  is_static=True,
              ),
          ],
      )
  
imports: import functools
  import logging
  import shutil
  from pathlib import Path
  from types import ModuleType
  from typing import Callable, List, NamedTuple, Optional, Union, cast
  import numpy
  import pandas
  from pandas.tseries.frequencies import to_offset
  from gluonts import json
  from gluonts.itertools import Cached, Map
  from gluonts.dataset.field_names import FieldName
  from gluonts.dataset.schema import Translator
  from gluonts.exceptions import GluonTSDataError
  from gluonts.pydantic import pydantic
  from .None import Dataset, DatasetCollection, DataEntry, DataBatch
  from .None import jsonl, DatasetWriter
label_desc: Use image node_id 1 to create a new ProcessDataEntry object  with example: obj = ProcessDataEntry(freq, one_dim_target, use_timestamp)