


from __future__ import annotations

import collections
import pprint
from pathlib import Path

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					str				):
     return "".join(sorted(SCREAMING_SNAKE_CASE__				)				)

def 						_UpperCAmelCase				(			SCREAMING_SNAKE_CASE__			:					str				):
     return word_by_signature[signature(SCREAMING_SNAKE_CASE__				)]


_A		       =						Path(__file__).parent.joinpath('words.txt').read_text(encoding='utf-8')
_A		       =						sorted({word.strip().lower() for word in data.splitlines()})

_A		       =						collections.defaultdict(list)
for word in word_list:
   word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
   _A		       =						{word: anagram(word) for word in word_list if len(anagram(word)) > 1}

   with open('anagrams.txt', 'w') as file:
      file.write('all_anagrams = \n ')
      file.write(pprint.pformat(all_anagrams))







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


_A   =     {}

try:
			if not is_sentencepiece_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A   =     ["NllbTokenizer"]

try:
			if not is_tokenizers_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			_A   =     ["NllbTokenizerFast"]


if TYPE_CHECKING:
			try:
						if not is_sentencepiece_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_nllb import NllbTokenizer

			try:
						if not is_tokenizers_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .tokenization_nllb_fast import NllbTokenizerFast

else:
			import sys

			_A   =     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



