code: def __init__(
      self,
      path: Union[Path, str],
      dictionary: Dictionary,
      forward: bool = True,
      character_level: bool = True,
      random_case_flip: bool = True,
      document_delimiter: str = "\n",
  ) -> None:
      self.dictionary: Dictionary = dictionary
      self.forward = forward
      self.split_on_char = character_level
      self.random_case_flip = random_case_flip
      self.document_delimiter: str = document_delimiter
  
      path = Path(path)
  
      self.train = TextDataset(
          path / "train",
          dictionary,
          False,
          self.forward,
          self.split_on_char,
          self.random_case_flip,
          document_delimiter=self.document_delimiter,
          shuffle=True,
      )
  
      # TextDataset returns a list. valid and test are only one file,
      # so return the first element
      self.valid = TextDataset(
          path / "valid.txt",
          dictionary,
          False,
          self.forward,
          self.split_on_char,
          self.random_case_flip,
          document_delimiter=document_delimiter,
          shuffle=False,
      )[0]
      self.test = TextDataset(
          path / "test.txt",
          dictionary,
          False,
          self.forward,
          self.split_on_char,
          self.random_case_flip,
          document_delimiter=document_delimiter,
          shuffle=False,
      )[0]
  
imports: import datetime
  import logging
  import math
  import random
  import time
  from pathlib import Path
  from typing import Any, Dict, Iterable, Optional, Type, Union
  import torch
  from torch import cuda
  from torch.optim import AdamW, Optimizer
  from torch.optim.lr_scheduler import ReduceLROnPlateau
  from torch.optim.sgd import SGD
  from torch.utils.data import DataLoader, Dataset
  import flair
  from flair.data import Dictionary
  from flair.models import LanguageModel
  from flair.optim import SGDW, ReduceLRWDOnPlateau
  from flair.training_utils import add_file_handler
label_desc: Use image node_id 1 to create a new TextCorpus object  with example: obj = TextCorpus(path, dictionary, forward, character_level, random_case_flip, document_delimiter)