class_docstr: Wrapper for fastText embeddings.
class_docstr_tok: ["Wrapper","for","fastText","embeddings","."]
docstr: Returns whether any vectors are available, for
  fastText, for the input language. This is not comprehensive
  of all fastText embeddings, only those added into the CLTK.
code: def _is_fasttext_lang_available(self) -> bool:
      """Returns whether any vectors are available, for
      fastText, for the input language. This is not comprehensive
      of all fastText embeddings, only those added into the CLTK.
      """
      get_lang(iso_code=self.iso_code)
      if self.iso_code not in MAP_LANGS_CLTK_FASTTEXT:
          return False
      else:
          return True
  
imports: import os
  from typing import List
  from zipfile import ZipFile
  from gensim import models
  from cltk.core.cltk_logger import logger
  from cltk.core.exceptions import CLTKException, UnimplementedAlgorithmError
  from cltk.data.fetch import FetchCorpus
  from cltk.languages.utils import get_lang
  from cltk.utils import CLTK_DATA_DIR, get_file_with_progress_bar, query_yes_no
  from cltk.utils.file_operations import make_cltk_path
label_desc: Use image node_id 9 for calling the FastTextEmbeddings obj's underlying member method code with example usage: obj._is_fasttext_lang_available() and returns: False, True