code: def register(self, datamodule) -> None:
      self.datamodule = datamodule
  
      vocab = self.datamodule.vocabulary.vocab()
      vocab = vocab[
          ~vocab.CATEGORY.isin(
              ["GENERAL", "MONTH", "BACKGROUND", "YEAR"]
          )
      ]
      vocab = vocab["TOKEN"].tolist()
      log.info("Input size: %s" % (len(vocab) + 5))
      self.vectorizer = CountVectorizer(
          vocabulary=vocab, token_pattern=r"\S+", lowercase=False
      )
      self.earliest_birthday = (
          self.datamodule.corpus.population._earliest_birthday
      )
      self.latest_birthday = (
          self.datamodule.corpus.population._latest_birthday
      )
      self.period_start = (
          self.datamodule.corpus.population._period_start
      )
      self.period_end = self.datamodule.corpus.population._period_end
  
      self.max_age = float(
          (self.period_start - self.earliest_birthday).days // 365
      )
      self.min_age = float(
          (self.period_start - self.latest_birthday).days // 365
      )
  
file_path: life2vec/src/tasks/tabular.py
imports: from dataclasses import dataclass
  from doctest import ELLIPSIS_MARKER
  from itertools import chain
  from typing import List, TypeVar, cast
  from datetime import date
  import numpy
  import pandas
  from sklearn.feature_extraction.text import CountVectorizer
  from src.data_new.types import Background, JSONSerializable, PersonDocument, EncodedDocument
  from src.tasks.base import Task
  from functools import reduce
  import logging
label_desc: Use image node_id 1 for calling the TabularCLS obj's underlying member method code with example usage: obj.register(datamodule) without return types