


'''simple docstring'''

import os
from typing import List, Optional, Union

from ...tokenization_utils import PreTrainedTokenizer
from ...tokenization_utils_base import AddedToken
from ...utils import logging


_UpperCAmelCase				: Optional[int]							    =				logging.get_logger(__name__)

_UpperCAmelCase				: Tuple							    =				{"""vocab_file""": """vocab.txt"""}

_UpperCAmelCase				: Dict							    =				{
    """vocab_file""": {
        """facebook/esm2_t6_8M_UR50D""": """https://huggingface.co/facebook/esm2_t6_8M_UR50D/resolve/main/vocab.txt""",
        """facebook/esm2_t12_35M_UR50D""": """https://huggingface.co/facebook/esm2_t12_35M_UR50D/resolve/main/vocab.txt""",
    },
}

_UpperCAmelCase				: Optional[int]							    =				{
    """facebook/esm2_t6_8M_UR50D""": 1_0_2_4,
    """facebook/esm2_t12_35M_UR50D""": 1_0_2_4,
}

def 							__magic_name__(						lowerCamelCase):
						with open(lowerCamelCase,				'''r''') as f:
												__lowerCAmelCase							       =				f.read().splitlines()
												return [l.strip() for l in lines]




class       a__				( __A      ):







				"""simple docstring"""



				__UpperCamelCase    :		List[Any]	=	VOCAB_FILES_NAMES
				__UpperCamelCase    :		Dict	=	PRETRAINED_VOCAB_FILES_MAP
				__UpperCamelCase    :		int	=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				__UpperCamelCase    :		int	=	['input_ids', 'attention_mask']




				def __init__(self       ,			__lowercase       ,			__lowercase="<unk>"       ,			__lowercase="<cls>"       ,			__lowercase="<pad>"       ,			__lowercase="<mask>"       ,			__lowercase="<eos>"       ,			**__lowercase       ,			):
										super().__init__(**__lowercase		)
										__lowerCAmelCase							       =				load_vocab_file(__lowercase		)
										__lowerCAmelCase							       =				dict(enumerate(self.all_tokens		)		)
										__lowerCAmelCase							       =				{tok: ind for ind, tok in enumerate(self.all_tokens		)}
										__lowerCAmelCase							       =				unk_token
										__lowerCAmelCase							       =				cls_token
										__lowerCAmelCase							       =				pad_token
										__lowerCAmelCase							       =				mask_token
										__lowerCAmelCase							       =				eos_token
										__lowerCAmelCase							       =				self.all_tokens
										self._create_trie(self.unique_no_split_tokens		)




				def 					_snake_case  (self       ,			__lowercase		):
										return self._id_to_token.get(__lowercase       ,			self.unk_token		)




				def 					_snake_case  (self       ,			__lowercase		):
										return self._token_to_id.get(__lowercase       ,			self._token_to_id.get(self.unk_token		)		)




				def 					_snake_case  (self       ,			__lowercase       ,			**__lowercase		):
										return text.split()




				def 					_snake_case  (self       ,			__lowercase=False		):
										return len(self._id_to_token		)




				def 					_snake_case  (self		):
										return {token: i for i, token in enumerate(self.all_tokens		)}




				def 					_snake_case  (self       ,			__lowercase		):
										return self._token_to_id.get(__lowercase       ,			self._token_to_id.get(self.unk_token		)		)




				def 					_snake_case  (self       ,			__lowercase		):
										return self._id_to_token.get(__lowercase       ,			self.unk_token		)




				def 					_snake_case  (self       ,			__lowercase       ,			__lowercase = None		):
										__lowerCAmelCase							       =				[self.cls_token_id]
										__lowerCAmelCase							       =				[self.eos_token_id]  # No sep token in ESM vocabulary
										if token_ids_a is None:
																if self.eos_token_id is None:
																						return cls + token_ids_a
																else:
																						return cls + token_ids_a + sep
										elif self.eos_token_id is None:
																raise ValueError('''Cannot tokenize multiple sequences when EOS token is not set!'''		)
										return cls + token_ids_a + sep + token_ids_a + sep  # Multiple inputs always have an EOS token




				def 					_snake_case  (self       ,			__lowercase       ,			__lowercase = None       ,			__lowercase = False		):
										if already_has_special_tokens:
																if token_ids_a is not None:
																						raise ValueError(
																						    '''You should not supply a second sequence if the provided sequence of '''
																						    '''ids is already formatted with special tokens for the model.'''		)

																return [1 if token in self.all_special_ids else 0 for token in token_ids_a]
										__lowerCAmelCase							       =				[1] + ([0] * len(__lowercase		)) + [1]
										if token_ids_a is not None:
																mask += [0] * len(__lowercase		) + [1]
										return mask




				def 					_snake_case  (self       ,			__lowercase       ,			__lowercase		):
										__lowerCAmelCase							       =				os.path.join(__lowercase       ,			(filename_prefix + '''-''' if filename_prefix else '''''') + '''vocab.txt'''		)
										with open(__lowercase       ,			'''w'''		) as f:
																f.write('''\n'''.join(self.all_tokens		)		)
										return (vocab_file,)




				@property
				def 					_snake_case  (self		):
										return self.get_vocab_size(with_added_tokens=__lowercase		)




				def 					_snake_case  (self       ,			__lowercase       ,			__lowercase = False		):
										return super()._add_tokens(__lowercase       ,			special_tokens=__lowercase		)





'''simple docstring'''

import json
import sys

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):
						with open(lowerCamelCase,				encoding='''utf-8''') as f:
												__lowerCAmelCase							       =				json.load(lowerCamelCase)

						__lowerCAmelCase							       =				['''<details>''', '''<summary>Show updated benchmarks!</summary>''', ''' ''']

						for benchmark_name in sorted(lowerCamelCase):
												__lowerCAmelCase							       =				results[benchmark_name]

												__lowerCAmelCase							       =				benchmark_name.split('''/''')[-1]
												output_md.append(F"""### Benchmark: {benchmark_file_name}""")

												__lowerCAmelCase							       =				'''| metric |'''
												__lowerCAmelCase							       =				'''|--------|'''
												__lowerCAmelCase							       =				'''| new / old (diff) |'''
												for metric_name in sorted(lowerCamelCase):
																		__lowerCAmelCase							       =				benchmark_res[metric_name]
																		__lowerCAmelCase							       =				metric_vals['''new''']
																		__lowerCAmelCase							       =				metric_vals.get('''old''',				lowerCamelCase)
																		__lowerCAmelCase							       =				metric_vals.get('''diff''',				lowerCamelCase)

																		__lowerCAmelCase							       =				F""" {new_val:f}""" if isinstance(lowerCamelCase,				(int, float)) else '''None'''

																		if old_val is not None:
																								val_str += F""" / {old_val:f}""" if isinstance(lowerCamelCase,				(int, float)) else "None"
																		if dif_val is not None:
																								val_str += F""" ({dif_val:f})""" if isinstance(lowerCamelCase,				(int, float)) else "None"

																		title += " " + metric_name + " |"
																		lines += "---|"
																		value += val_str + " |"

												output_md += [title, lines, value, " "]

						output_md.append('''</details>''')

						with open(lowerCamelCase,				'''w''',				encoding='''utf-8''') as f:
												f.writelines('''\n'''.join(lowerCamelCase))


if __name__ == "__main__":
	_UpperCAmelCase				: str							    =				sys.argv[1]
	_UpperCAmelCase				: Optional[Any]							    =				sys.argv[2]

	format_json_to_md(input_json_file, output_md_file)

