

from __future__ import annotations

import collections
import pprint
from pathlib import Path

def 						UpperCamelCase					(lowercase_: str					)     ->      str:
	return "".join(sorted(lowercase_					)					)

def 						UpperCamelCase					(lowercase_: str					)     ->      list[str]:
	return word_by_signature[signature(lowercase_					)]


A_       : str         =			Path(__file__).parent.joinpath('words.txt').read_text(encoding='utf-8')
A_       : Union[str, Any]         =			sorted({word.strip().lower() for word in data.splitlines()})

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

if __name__ == "__main__":
	A_       : Union[str, Any]         =			{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 ...file_utils import _LazyModule, is_torch_available
from ...utils import OptionalDependencyNotAvailable


A_       : List[str]         =			{
    'configuration_gpt_neox_japanese': ['GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTNeoXJapaneseConfig'],
    'tokenization_gpt_neox_japanese': ['GPTNeoXJapaneseTokenizer'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_       : Optional[int]         =			[
	    'GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'GPTNeoXJapaneseForCausalLM',
	    'GPTNeoXJapaneseLayer',
	    'GPTNeoXJapaneseModel',
	    'GPTNeoXJapanesePreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox_japanese import GPT_NEOX_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXJapaneseConfig
	from .tokenization_gpt_neox_japanese import GPTNeoXJapaneseTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox_japanese import (
		    GPT_NEOX_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXJapaneseForCausalLM,
		    GPTNeoXJapaneseLayer,
		    GPTNeoXJapaneseModel,
		    GPTNeoXJapanesePreTrainedModel,
		)


else:
	import sys

	A_       : Any         =			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



