
import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english







@require_tokenizers
class  UpperCamelCase__		(    SCREAMING_SNAKE_CASE_,			unittest.TestCase   ):







	'''simple docstring'''
	_lowerCAmelCase							       =				RoCBertTokenizer
	_lowerCAmelCase							       =				None
	_lowerCAmelCase							       =				False
	_lowerCAmelCase							       =				True
	_lowerCAmelCase							       =				filter_non_english





	def   __snake_case				(			self		):
					super().setUp()

					A__  :	Optional[Any]         =							['''[UNK]''', '''[CLS]''', '''[SEP]''', '''[PAD]''', '''[MASK]''', '''你''', '''好''', '''是''', '''谁''', '''a''', '''b''', '''c''', '''d''']
					A__  :	int         =							{}
					A__  :	Dict         =							{}
					for i, value in enumerate(UpperCamelCase__		):
									A__  :	int         =							i
									A__  :	Any         =							i
					A__  :	Tuple         =							os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES['''vocab_file''']		)
					A__  :	str         =							os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES['''word_shape_file''']		)
					A__  :	Dict         =							os.path.join(self.tmpdirname				,       VOCAB_FILES_NAMES['''word_pronunciation_file''']		)
					with open(self.vocab_file				,       '''w'''				,       encoding='''utf-8'''		) as vocab_writer:
									vocab_writer.write(''''''.join([x + '''\n''' for x in vocab_tokens]		)		)
					with open(self.word_shape_file				,       '''w'''				,       encoding='''utf-8'''		) as word_shape_writer:
									json.dump(UpperCamelCase__				,       UpperCamelCase__				,       ensure_ascii=UpperCamelCase__		)
					with open(self.word_pronunciation_file				,       '''w'''				,       encoding='''utf-8'''		) as word_pronunciation_writer:
									json.dump(UpperCamelCase__				,       UpperCamelCase__				,       ensure_ascii=UpperCamelCase__		)





	def   __snake_case				(			self		):
					A__  :	Optional[Any]         =							self.tokenizer_class(self.vocab_file				,       self.word_shape_file				,       self.word_pronunciation_file		)

					A__  :	Tuple         =							tokenizer.tokenize('''你好[SEP]你是谁'''		)
					self.assertListEqual(UpperCamelCase__				,       ['''你''', '''好''', '''[SEP]''', '''你''', '''是''', '''谁''']		)
					self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase__		)				,       [5, 6, 2, 5, 7, 8]		)
					self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(UpperCamelCase__		)				,       [5, 6, 2, 5, 7, 8]		)
					self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase__		)				,       [5, 6, 2, 5, 7, 8]		)





	def   __snake_case				(			self		):
					A__  :	Dict         =							RoCBertBasicTokenizer()

					self.assertListEqual(tokenizer.tokenize('''ah\u535A\u63A8zz'''		)				,       ['''ah''', '''\u535A''', '''\u63A8''', '''zz''']		)





	def   __snake_case				(			self		):
					A__  :	List[str]         =							RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__		)

					self.assertListEqual(
					    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''		)				,       ['''hello''', '''!''', '''how''', '''are''', '''you''', '''?''']		)
					self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''		)				,       ['''hello''']		)





	def   __snake_case				(			self		):
					A__  :	str         =							RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,       strip_accents=UpperCamelCase__		)

					self.assertListEqual(
					    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''		)				,       ['''hällo''', '''!''', '''how''', '''are''', '''you''', '''?''']		)
					self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''		)				,       ['''h\u00E9llo''']		)





	def   __snake_case				(			self		):
					A__  :	str         =							RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,       strip_accents=UpperCamelCase__		)

					self.assertListEqual(
					    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''		)				,       ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']		)
					self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''		)				,       ['''hello''']		)





	def   __snake_case				(			self		):
					A__  :	int         =							RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__		)

					self.assertListEqual(
					    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''		)				,       ['''hallo''', '''!''', '''how''', '''are''', '''you''', '''?''']		)
					self.assertListEqual(tokenizer.tokenize('''H\u00E9llo'''		)				,       ['''hello''']		)





	def   __snake_case				(			self		):
					A__  :	List[Any]         =							RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__		)

					self.assertListEqual(
					    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU?  '''		)				,       ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']		)





	def   __snake_case				(			self		):
					A__  :	Any         =							RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,       strip_accents=UpperCamelCase__		)

					self.assertListEqual(
					    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''		)				,       ['''HäLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']		)





	def   __snake_case				(			self		):
					A__  :	Optional[Any]         =							RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,       strip_accents=UpperCamelCase__		)

					self.assertListEqual(
					    tokenizer.tokenize(''' \tHäLLo!how  \n Are yoU?  '''		)				,       ['''HaLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''']		)





	def   __snake_case				(			self		):
					A__  :	Dict         =							RoCBertBasicTokenizer(do_lower_case=UpperCamelCase__				,       never_split=['''[UNK]''']		)

					self.assertListEqual(
					    tokenizer.tokenize(''' \tHeLLo!how  \n Are yoU? [UNK]'''		)				,       ['''HeLLo''', '''!''', '''how''', '''Are''', '''yoU''', '''?''', '''[UNK]''']		)





	def   __snake_case				(			self		):
					A__  :	str         =							['''[UNK]''', '''[CLS]''', '''[SEP]''', '''want''', '''##want''', '''##ed''', '''wa''', '''un''', '''runn''', '''##ing''']

					A__  :	Union[str, Any]         =							{}
					for i, token in enumerate(UpperCamelCase__		):
									A__  :	List[str]         =							i
					A__  :	Dict         =							RoCBertWordpieceTokenizer(vocab=UpperCamelCase__				,       unk_token='''[UNK]'''		)

					self.assertListEqual(tokenizer.tokenize(''''''		)				,       []		)

					self.assertListEqual(tokenizer.tokenize('''unwanted running'''		)				,       ['''un''', '''##want''', '''##ed''', '''runn''', '''##ing''']		)

					self.assertListEqual(tokenizer.tokenize('''unwantedX running'''		)				,       ['''[UNK]''', '''runn''', '''##ing''']		)





	def   __snake_case				(			self		):
					self.assertTrue(_is_whitespace(''' '''		)		)
					self.assertTrue(_is_whitespace('''\t'''		)		)
					self.assertTrue(_is_whitespace('''\r'''		)		)
					self.assertTrue(_is_whitespace('''\n'''		)		)
					self.assertTrue(_is_whitespace('''\u00A0'''		)		)

					self.assertFalse(_is_whitespace('''A'''		)		)
					self.assertFalse(_is_whitespace('''-'''		)		)





	def   __snake_case				(			self		):
					self.assertTrue(_is_control('''\u0005'''		)		)

					self.assertFalse(_is_control('''A'''		)		)
					self.assertFalse(_is_control(''' '''		)		)
					self.assertFalse(_is_control('''\t'''		)		)
					self.assertFalse(_is_control('''\r'''		)		)





	def   __snake_case				(			self		):
					self.assertTrue(_is_punctuation('''-'''		)		)
					self.assertTrue(_is_punctuation('''$'''		)		)
					self.assertTrue(_is_punctuation('''`'''		)		)
					self.assertTrue(_is_punctuation('''.'''		)		)

					self.assertFalse(_is_punctuation('''A'''		)		)
					self.assertFalse(_is_punctuation(''' '''		)		)





	def   __snake_case				(			self		):
					A__  :	Tuple         =							self.get_tokenizer()

					# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
					self.assertListEqual([tokenizer.tokenize(UpperCamelCase__		) for t in ['''Test''', '''\xad''', '''test''']]				,       [['''[UNK]'''], [], ['''[UNK]''']]		)

					if self.test_rust_tokenizer:
									A__  :	Optional[int]         =							self.get_rust_tokenizer()
									self.assertListEqual(
									    [rust_tokenizer.tokenize(UpperCamelCase__		) for t in ['''Test''', '''\xad''', '''test''']]				,       [['''[UNK]'''], [], ['''[UNK]''']]		)





	def   __snake_case				(			self		):
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"		):
													A__  :	Optional[int]         =							self.rust_tokenizer_class.from_pretrained(UpperCamelCase__				,       **UpperCamelCase__		)

													A__  :	Optional[int]         =							F"A, naïve {tokenizer_r.mask_token} AllenNLP sentence."
													A__  :	Dict         =							tokenizer_r.encode_plus(
													    UpperCamelCase__				,       return_attention_mask=UpperCamelCase__				,       return_token_type_ids=UpperCamelCase__				,       return_offsets_mapping=UpperCamelCase__				,       add_special_tokens=UpperCamelCase__				,       )

													A__  :	Tuple         =							tokenizer_r.do_lower_case if hasattr(UpperCamelCase__				,       '''do_lower_case'''		) else False
													A__  :	Optional[Any]         =							(
													    [
													        ((0, 0), tokenizer_r.cls_token),
													        ((0, 1), '''A'''),
													        ((1, 2), ''','''),
													        ((3, 5), '''na'''),
													        ((5, 6), '''##ï'''),
													        ((6, 8), '''##ve'''),
													        ((9, 15), tokenizer_r.mask_token),
													        ((16, 21), '''Allen'''),
													        ((21, 23), '''##NL'''),
													        ((23, 24), '''##P'''),
													        ((25, 33), '''sentence'''),
													        ((33, 34), '''.'''),
													        ((0, 0), tokenizer_r.sep_token),
													    ]
													    if not do_lower_case
													    else [
													        ((0, 0), tokenizer_r.cls_token),
													        ((0, 1), '''a'''),
													        ((1, 2), ''','''),
													        ((3, 8), '''naive'''),
													        ((9, 15), tokenizer_r.mask_token),
													        ((16, 21), '''allen'''),
													        ((21, 23), '''##nl'''),
													        ((23, 24), '''##p'''),
													        ((25, 33), '''sentence'''),
													        ((33, 34), '''.'''),
													        ((0, 0), tokenizer_r.sep_token),
													    ]
													)

													self.assertEqual(
													    [e[1] for e in expected_results]				,       tokenizer_r.convert_ids_to_tokens(tokens['''input_ids''']		)		)
													self.assertEqual([e[0] for e in expected_results]				,       tokens['''offset_mapping''']		)





	def   __snake_case				(			self		):
					A__  :	int         =							['''的''', '''人''', '''有''']
					A__  :	Tuple         =							''''''.join(UpperCamelCase__		)
					for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
									with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"		):
													A__  :	List[str]         =							True
													A__  :	List[str]         =							self.tokenizer_class.from_pretrained(UpperCamelCase__				,       **UpperCamelCase__		)
													A__  :	Any         =							self.rust_tokenizer_class.from_pretrained(UpperCamelCase__				,       **UpperCamelCase__		)

													A__  :	List[str]         =							tokenizer_p.encode(UpperCamelCase__				,       add_special_tokens=UpperCamelCase__		)
													A__  :	str         =							tokenizer_r.encode(UpperCamelCase__				,       add_special_tokens=UpperCamelCase__		)

													A__  :	Union[str, Any]         =							tokenizer_r.convert_ids_to_tokens(UpperCamelCase__		)
													A__  :	int         =							tokenizer_p.convert_ids_to_tokens(UpperCamelCase__		)

													# it is expected that each Chinese character is not preceded by "##"
													self.assertListEqual(UpperCamelCase__				,       UpperCamelCase__		)
													self.assertListEqual(UpperCamelCase__				,       UpperCamelCase__		)

													A__  :	Optional[int]         =							False
													A__  :	Optional[Any]         =							self.rust_tokenizer_class.from_pretrained(UpperCamelCase__				,       **UpperCamelCase__		)
													A__  :	Tuple         =							self.tokenizer_class.from_pretrained(UpperCamelCase__				,       **UpperCamelCase__		)

													A__  :	Any         =							tokenizer_r.encode(UpperCamelCase__				,       add_special_tokens=UpperCamelCase__		)
													A__  :	Dict         =							tokenizer_p.encode(UpperCamelCase__				,       add_special_tokens=UpperCamelCase__		)

													A__  :	Dict         =							tokenizer_r.convert_ids_to_tokens(UpperCamelCase__		)
													A__  :	str         =							tokenizer_p.convert_ids_to_tokens(UpperCamelCase__		)

													# it is expected that only the first Chinese character is not preceded by "##".
													A__  :	Tuple         =							[
													    F"##{token}" if idx != 0 else token for idx, token in enumerate(UpperCamelCase__		)
													]
													self.assertListEqual(UpperCamelCase__				,       UpperCamelCase__		)
													self.assertListEqual(UpperCamelCase__				,       UpperCamelCase__		)





	@slow
	def   __snake_case				(			self		):
					A__  :	int         =							self.tokenizer_class(self.vocab_file				,       self.word_shape_file				,       self.word_pronunciation_file		)

					A__  :	str         =							tokenizer.encode('''你好'''				,       add_special_tokens=UpperCamelCase__		)
					A__  :	List[str]         =							tokenizer.encode('''你是谁'''				,       add_special_tokens=UpperCamelCase__		)

					A__  :	Dict         =							tokenizer.build_inputs_with_special_tokens(UpperCamelCase__		)
					A__  :	Optional[int]         =							tokenizer.build_inputs_with_special_tokens(UpperCamelCase__				,       UpperCamelCase__		)

					assert encoded_sentence == [1] + text + [2]
					assert encoded_pair == [1] + text + [2] + text_a + [2]





	def   __snake_case				(			self		):
					A__  :	Tuple         =							self.get_tokenizers(do_lower_case=UpperCamelCase__		)
					for tokenizer in tokenizers:
									with self.subTest(F"{tokenizer.__class__.__name__}"		):
													A__  :	Union[str, Any]         =							'''你好，你是谁'''
													A__  :	Optional[int]         =							tokenizer.tokenize(UpperCamelCase__		)
													A__  :	Optional[Any]         =							tokenizer.convert_tokens_to_ids(UpperCamelCase__		)
													A__  :	int         =							tokenizer.convert_tokens_to_shape_ids(UpperCamelCase__		)
													A__  :	Any         =							tokenizer.convert_tokens_to_pronunciation_ids(UpperCamelCase__		)
													A__  :	Dict         =							tokenizer.prepare_for_model(
													    UpperCamelCase__				,       UpperCamelCase__				,       UpperCamelCase__				,       add_special_tokens=UpperCamelCase__		)

													A__  :	Any         =							tokenizer.encode_plus(UpperCamelCase__				,       add_special_tokens=UpperCamelCase__		)

													self.assertEqual(UpperCamelCase__				,       UpperCamelCase__		)






from dataclasses import asdict, dataclass
from typing import Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE    :      Dict          =			logging.get_logger(__name__)

# TODO Update this
_SCREAMING_SNAKE_CASE    :      Optional[int]          =			{
    'facebook/esm-1b': 'https://huggingface.co/facebook/esm-1b/resolve/main/config.json',
    # See all ESM models at https://huggingface.co/models?filter=esm
}







class  UpperCamelCase__		(    SCREAMING_SNAKE_CASE_   ):







	'''simple docstring'''
	_lowerCAmelCase							       =				"esm"





	def __init__(			self				,       UpperCamelCase__=None				,       UpperCamelCase__=None				,       UpperCamelCase__=None				,       UpperCamelCase__=768				,       UpperCamelCase__=12				,       UpperCamelCase__=12				,       UpperCamelCase__=3072				,       UpperCamelCase__=0.1				,       UpperCamelCase__=0.1				,       UpperCamelCase__=1026				,       UpperCamelCase__=0.0_2				,       UpperCamelCase__=1e-12				,       UpperCamelCase__="absolute"				,       UpperCamelCase__=True				,       UpperCamelCase__=None				,       UpperCamelCase__=False				,       UpperCamelCase__=False				,       UpperCamelCase__=None				,       UpperCamelCase__=None				,       **UpperCamelCase__				,       ):
					super().__init__(pad_token_id=UpperCamelCase__				,       mask_token_id=UpperCamelCase__				,       **UpperCamelCase__		)

					A__  :	Optional[Any]         =							vocab_size
					A__  :	int         =							hidden_size
					A__  :	List[str]         =							num_hidden_layers
					A__  :	Tuple         =							num_attention_heads
					A__  :	str         =							intermediate_size
					A__  :	List[str]         =							hidden_dropout_prob
					A__  :	Optional[Any]         =							attention_probs_dropout_prob
					A__  :	int         =							max_position_embeddings
					A__  :	List[str]         =							initializer_range
					A__  :	List[Any]         =							layer_norm_eps
					A__  :	int         =							position_embedding_type
					A__  :	Optional[Any]         =							use_cache
					A__  :	Optional[int]         =							emb_layer_norm_before
					A__  :	List[str]         =							token_dropout
					A__  :	Tuple         =							is_folding_model
					if is_folding_model:
									if esmfold_config is None:
													logger.info('''No esmfold_config supplied for folding model, using default values.'''		)
													A__  :	List[Any]         =							EsmFoldConfig()
									elif isinstance(UpperCamelCase__				,       UpperCamelCase__		):
													A__  :	Optional[int]         =							EsmFoldConfig(**UpperCamelCase__		)
									A__  :	int         =							esmfold_config
									if vocab_list is None:
													logger.warning('''No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!'''		)
													A__  :	Any         =							get_default_vocab_list()
									else:
													A__  :	Dict         =							vocab_list
					else:
									A__  :	Optional[Any]         =							None
									A__  :	Tuple         =							None
					if self.esmfold_config is not None and getattr(self.esmfold_config				,       '''use_esm_attn_map'''				,       UpperCamelCase__		):
									raise ValueError('''The HuggingFace port of ESMFold does not support use_esm_attn_map at this time!'''		)





	def   __snake_case				(			self		):
					A__  :	Optional[int]         =							super().to_dict()
					if isinstance(self.esmfold_config				,       UpperCamelCase__		):
									A__  :	Dict         =							self.esmfold_config.to_dict()
					return output







@dataclass
class  UpperCamelCase__		:







	'''simple docstring'''
	_lowerCAmelCase							       =				None
	_lowerCAmelCase							       =				True
	_lowerCAmelCase							       =				False
	_lowerCAmelCase							       =				False
	_lowerCAmelCase							       =				False
	_lowerCAmelCase							       =				0

	_lowerCAmelCase							       =				True
	_lowerCAmelCase							       =				False

	_lowerCAmelCase							       =				128
	_lowerCAmelCase							       =				None





	def   __snake_case				(			self		):
					if self.trunk is None:
									A__  :	Tuple         =							TrunkConfig()
					elif isinstance(self.trunk				,       UpperCamelCase__		):
									A__  :	List[Any]         =							TrunkConfig(**self.trunk		)





	def   __snake_case				(			self		):
					A__  :	Optional[int]         =							asdict(self		)
					A__  :	int         =							self.trunk.to_dict()
					return output







@dataclass
class  UpperCamelCase__		:







	'''simple docstring'''
	_lowerCAmelCase							       =				48
	_lowerCAmelCase							       =				1_024
	_lowerCAmelCase							       =				128
	_lowerCAmelCase							       =				32
	_lowerCAmelCase							       =				32
	_lowerCAmelCase							       =				32
	_lowerCAmelCase							       =				0
	_lowerCAmelCase							       =				0
	_lowerCAmelCase							       =				False
	_lowerCAmelCase							       =				4
	_lowerCAmelCase							       =				128
	_lowerCAmelCase							       =				None





	def   __snake_case				(			self		):
					if self.structure_module is None:
									A__  :	str         =							StructureModuleConfig()
					elif isinstance(self.structure_module				,       UpperCamelCase__		):
									A__  :	str         =							StructureModuleConfig(**self.structure_module		)

					if self.max_recycles <= 0:
									raise ValueError(F"`max_recycles` should be positive, got {self.max_recycles}."		)
					if self.sequence_state_dim % self.sequence_state_dim != 0:
									raise ValueError(
									    '''`sequence_state_dim` should be a round multiple of `sequence_state_dim`, got'''
									    F" {self.sequence_state_dim} and {self.sequence_state_dim}."		)
					if self.pairwise_state_dim % self.pairwise_state_dim != 0:
									raise ValueError(
									    '''`pairwise_state_dim` should be a round multiple of `pairwise_state_dim`, got'''
									    F" {self.pairwise_state_dim} and {self.pairwise_state_dim}."		)

					A__  :	Tuple         =							self.sequence_state_dim // self.sequence_head_width
					A__  :	int         =							self.pairwise_state_dim // self.pairwise_head_width

					if self.sequence_state_dim != sequence_num_heads * self.sequence_head_width:
									raise ValueError(
									    '''`sequence_state_dim` should be equal to `sequence_num_heads * sequence_head_width, got'''
									    F" {self.sequence_state_dim} != {sequence_num_heads} * {self.sequence_head_width}."		)
					if self.pairwise_state_dim != pairwise_num_heads * self.pairwise_head_width:
									raise ValueError(
									    '''`pairwise_state_dim` should be equal to `pairwise_num_heads * pairwise_head_width, got'''
									    F" {self.pairwise_state_dim} != {pairwise_num_heads} * {self.pairwise_head_width}."		)
					if self.pairwise_state_dim % 2 != 0:
									raise ValueError(F"`pairwise_state_dim` should be even, got {self.pairwise_state_dim}."		)

					if self.dropout >= 0.4:
									raise ValueError(F"`dropout` should not be greater than 0.4, got {self.dropout}."		)





	def   __snake_case				(			self		):
					A__  :	List[Any]         =							asdict(self		)
					A__  :	Optional[int]         =							self.structure_module.to_dict()
					return output







@dataclass
class  UpperCamelCase__		:







	'''simple docstring'''
	_lowerCAmelCase							       =				384
	_lowerCAmelCase							       =				128
	_lowerCAmelCase							       =				16
	_lowerCAmelCase							       =				128
	_lowerCAmelCase							       =				12
	_lowerCAmelCase							       =				4
	_lowerCAmelCase							       =				8
	_lowerCAmelCase							       =				0.1
	_lowerCAmelCase							       =				8
	_lowerCAmelCase							       =				1
	_lowerCAmelCase							       =				2
	_lowerCAmelCase							       =				7
	_lowerCAmelCase							       =				10
	_lowerCAmelCase							       =				1e-8
	_lowerCAmelCase							       =				1e5





	def   __snake_case				(			self		):
					return asdict(self		)




def 				SCREAMING_SNAKE_CASE     (      ) ->       Union[str, Any]:

				"""simple docstring"""







				return (
				    "<cls>",
				    "<pad>",
				    "<eos>",
				    "<unk>",
				    "L",
				    "A",
				    "G",
				    "V",
				    "S",
				    "E",
				    "R",
				    "T",
				    "I",
				    "D",
				    "P",
				    "K",
				    "Q",
				    "N",
				    "F",
				    "Y",
				    "M",
				    "H",
				    "W",
				    "C",
				    "X",
				    "B",
				    "U",
				    "Z",
				    "O",
				    ".",
				    "-",
				    "<null_1>",
				    "<mask>",
				)