


'''simple docstring'''




import argparse
import glob
import inspect
import os
import re
import unittest

from get_test_info import get_test_classes

from tests.test_pipeline_mixin import pipeline_test_mapping


_lowerCAmelCase	:		Union[str, Any]		  =						{}
for task, _ in pipeline_test_mapping.items():
				_lowerCAmelCase	:		Tuple		  =						{'pt': None, 'tf': None}


# DO **NOT** add item to this set (unless the reason is approved)
_lowerCAmelCase	:		Any		  =						{
    'tests/models/esm/test_modeling_esmfold.py',  # The pipeline test mapping is added to `test_modeling_esm.py`
}

def       __UpperCamelCase     (     _A     :					List[Any]					)     ->   str:




	"""simple docstring"""





	if "ModelTesterMixin" in [x.__name__ for x in test_class.__bases__]:
		return "pt"
	elif "TFModelTesterMixin" in [x.__name__ for x in test_class.__bases__]:
		return "tf"
	elif "FlaxModelTesterMixin" in [x.__name__ for x in test_class.__bases__]:
		return "flax"
	else:
		return None

def       __UpperCamelCase     (     _A     :					Any       , _A     :					List[str]					)     ->   Tuple:




	"""simple docstring"""





	if PIPELINE_TEST_MAPPING[task].get(_A       , _A					) is not None:
		return PIPELINE_TEST_MAPPING[task][framework]

	lowerCAmelCase       :     Optional[int]   				=			pipeline_test_mapping[task]['test']
	lowerCAmelCase       :     Tuple   				=			None

	if framework == "pt":
		lowerCAmelCase       :     Tuple   				=			getattr(_A       , 'model_mapping'       , _A					)
	elif framework == "tf":
		lowerCAmelCase       :     Optional[int]   				=			getattr(_A       , 'tf_model_mapping'       , _A					)

	if mapping is not None:
		lowerCAmelCase       :     Dict   				=			dict(mapping.items()					)

	# cache the results
	lowerCAmelCase       :     Dict   				=			mapping
	return mapping

def       __UpperCamelCase     (     _A     :					List[Any]       , _A     :					Tuple					)     ->   Dict:




	"""simple docstring"""





	lowerCAmelCase       :     List[Any]   				=			get_framework(_A					)
	if framework is None:
		return None
	lowerCAmelCase       :     Dict   				=			get_mapping_for_task(_A       , _A					)
	if mapping is None:
		return None

	lowerCAmelCase       :     List[Any]   				=			list({model_class.config_class for model_class in test_class.all_model_classes}					)
	if len(_A					) != 1:
		raise ValueError('There should be exactly one configuration class from `test_class.all_model_classes`.'					)

	# This could be a list/tuple of model classes, but it's rare.
	lowerCAmelCase       :     Union[str, Any]   				=			mapping.get(config_classes[0]       , _A					)
	if isinstance(_A       , (tuple, list)					):
		lowerCAmelCase       :     Dict   				=			sorted(_A       , key=lambda _A					: x.__name__					)

	return model_class

def       __UpperCamelCase     (     _A     :					Any					)     ->   List[str]:




	"""simple docstring"""





	lowerCAmelCase       :     str   				=			[(task, get_model_for_pipeline_test(_A       , _A					)) for task in pipeline_test_mapping]
	lowerCAmelCase       :     List[Any]   				=			sorted([(task, model) for task, model in mapping if model is not None]       , key=lambda _A					: x[0]					)

	return dict(_A					)

def       __UpperCamelCase     (     _A     :					int					)     ->   List[str]:




	"""simple docstring"""





	lowerCAmelCase       :     Tuple   				=			get_framework(_A					)
	if framework == "pt":
		lowerCAmelCase       :     Union[str, Any]   				=			'torch'
	lowerCAmelCase       :     List[str]   				=			'{}'

	lowerCAmelCase       :     Optional[int]   				=			get_pipeline_model_mapping(_A					)
	if len(_A					) == 0:
		return ""

	lowerCAmelCase       :     Union[str, Any]   				=			[]
	for task, model_classes in mapping.items():
		if isinstance(_A       , (tuple, list)					):
			# A list/tuple of model classes
			lowerCAmelCase       :     str   				=			'(' + ', '.join([x.__name__ for x in model_classes]					) + ')'
		else:
			# A single model class
			lowerCAmelCase       :     Tuple   				=			model_classes.__name__
		texts.append(F"\"{task}\": {value}"					)
	lowerCAmelCase       :     List[Any]   				=			'{' + ', '.join(_A					) + '}'
	lowerCAmelCase       :     List[str]   				=			F"pipeline_model_mapping = {text} if is_{framework}_available() else {default_value}"

	return text

def       __UpperCamelCase     (     _A     :					Optional[int]					)     ->   Any:




	"""simple docstring"""





	lowerCAmelCase       :     int   				=			{'ModelTesterMixin', 'TFModelTesterMixin', 'FlaxModelTesterMixin'}
	if not issubclass(_A       , unittest.TestCase					):
		return False
	return len(base_class_names.intersection([x.__name__ for x in test_class.__bases__]					)					) > 0

def       __UpperCamelCase     (     _A     :					Optional[Any]					)     ->   str:




	"""simple docstring"""





	lowerCAmelCase       :     List[Any]   				=			[x for x in get_test_classes(_A					) if is_valid_test_class(_A					)]

	lowerCAmelCase       :     str   				=			None
	for test_class in test_classes:
		# If a test class has defined `pipeline_model_mapping`, let's take it
		if getattr(_A       , 'pipeline_model_mapping'       , _A					) is not None:
			lowerCAmelCase       :     List[str]   				=			test_class
			break
    # Take the test class with the shortest name (just a heuristic)
	if target_test_class is None and len(_A					) > 0:
		lowerCAmelCase       :     Optional[Any]   				=			sorted(_A       , key=lambda _A					: (len(x.__name__					), x.__name__)					)[0]

	return target_test_class

def       __UpperCamelCase     (     _A     :					List[Any]       , _A     :					Optional[Any]       , _A     :					Optional[int]					)     ->   int:




	"""simple docstring"""





	lowerCAmelCase       :     Dict   				=			start_idx
	for idx, line in enumerate(lines[start_idx:]					):
		lowerCAmelCase       :     Tuple   				=			len(_A					) - len(line.lstrip()					)
		if idx == 0 or indent > indent_level or (indent == indent_level and line.strip() == ")"):
			lowerCAmelCase       :     List[Any]   				=			start_idx + idx
		elif idx > 0 and indent <= indent_level:
			# Outside the definition block of `pipeline_model_mapping`
			break

	return end_idx

def       __UpperCamelCase     (     _A     :					List[str]       , _A     :					List[str]=False					)     ->   Optional[Any]:




	"""simple docstring"""





	if getattr(_A       , 'pipeline_model_mapping'       , _A					) is not None:
		if not overwrite:
			return "", -1

	lowerCAmelCase       :     str   				=			get_pipeline_model_mapping_string(_A					)
	if len(_A					) == 0:
		return "", -1
	lowerCAmelCase       :     Optional[Any]   				=			line_to_add + '\n'

	# The code defined the class `test_class`
	lowerCAmelCase				, lowerCAmelCase       :     Tuple   				=			inspect.getsourcelines(_A					)
	# `inspect` gives the code for an object, including decorator(s) if any.
	# We (only) need the exact line of the class definition.
	for idx, line in enumerate(_A					):
		if line.lstrip().startswith('class '					):
			lowerCAmelCase       :     Any   				=			class_lines[idx:]
			class_start_line_no += idx
			break
	lowerCAmelCase       :     Any   				=			class_start_line_no + len(_A					) - 1

	# The index in `class_lines` that starts the definition of `all_model_classes`, `all_generative_model_classes` or
	# `pipeline_model_mapping`. This assumes they are defined in such order, and we take the start index of the last
	# block that appears in a `test_class`.
	lowerCAmelCase       :     List[Any]   				=			None
	# The indent level of the line at `class_lines[start_idx]` (if defined)
	lowerCAmelCase       :     List[str]   				=			0
	# To record if `pipeline_model_mapping` is found in `test_class`.
	lowerCAmelCase       :     Tuple   				=			None
	for idx, line in enumerate(_A					):
		if line.strip().startswith('all_model_classes = '					):
			lowerCAmelCase       :     Optional[Any]   				=			len(_A					) - len(line.lstrip()					)
			lowerCAmelCase       :     Optional[int]   				=			idx
		elif line.strip().startswith('all_generative_model_classes = '					):
			lowerCAmelCase       :     Dict   				=			len(_A					) - len(line.lstrip()					)
			lowerCAmelCase       :     Dict   				=			idx
		elif line.strip().startswith('pipeline_model_mapping = '					):
			lowerCAmelCase       :     List[str]   				=			len(_A					) - len(line.lstrip()					)
			lowerCAmelCase       :     List[Any]   				=			idx
			lowerCAmelCase       :     int   				=			line
			break

	if start_idx is None:
		return "", -1
	# Find the ending index (inclusive) of the above found block.
	lowerCAmelCase       :     List[str]   				=			find_block_ending(_A       , _A       , _A					)

	# Extract `is_xxx_available()` from existing blocks: some models require specific libraries like `timm` and use
	# `is_timm_available()` instead of `is_torch_available()`.
	# Keep leading and trailing whitespaces
	lowerCAmelCase       :     Optional[int]   				=			re.compile(r'\s(is_\S+?_available\(\))\s'					)
	for line in class_lines[start_idx : end_idx + 1]:
		lowerCAmelCase       :     Any   				=			r.search(_A					)
		if backend_condition is not None:
			# replace the leading and trailing whitespaces to the space character " ".
			lowerCAmelCase       :     Tuple   				=			' ' + backend_condition[0][1:-1] + ' '
			lowerCAmelCase       :     List[str]   				=			r.sub(_A       , _A					)
			break

	if def_line is None:
		# `pipeline_model_mapping` is not defined. The target index is set to the ending index (inclusive) of
		# `all_model_classes` or `all_generative_model_classes`.
		lowerCAmelCase       :     List[Any]   				=			end_idx
	else:
		# `pipeline_model_mapping` is defined. The target index is set to be one **BEFORE** its start index.
		lowerCAmelCase       :     Optional[int]   				=			start_idx - 1
		# mark the lines of the currently existing `pipeline_model_mapping` to be removed.
		for idx in range(_A       , end_idx + 1					):
			# These lines are going to be removed before writing to the test file.
			lowerCAmelCase       :     Tuple   				=			None  # noqa

    # Make sure the test class is a subclass of `PipelineTesterMixin`.
	lowerCAmelCase       :     List[str]   				=			[x.__name__ for x in test_class.__bases__]
	if "PipelineTesterMixin" not in parent_classes:
		# Put `PipelineTesterMixin` just before `unittest.TestCase`
		lowerCAmelCase       :     Dict   				=			[x for x in parent_classes if x != 'TestCase'] + ['PipelineTesterMixin']
		if "TestCase" in parent_classes:
			# Here we **assume** the original string is always with `unittest.TestCase`.
			_parent_classes.append('unittest.TestCase'					)
		lowerCAmelCase       :     Union[str, Any]   				=			', '.join(_parent_classes					)
		for idx, line in enumerate(_A					):
			# Find the ending of the declaration of `test_class`
			if line.strip().endswith('):'					):
				# mark the lines of the declaration of `test_class` to be removed
				for _idx in range(idx + 1					):
					lowerCAmelCase       :     List[Any]   				=			None  # noqa
				break
        # Add the new, one-line, class declaration for `test_class`
		lowerCAmelCase       :     int   				=			F"class {test_class.__name__}({parent_classes}):\n"

	# Add indentation
	lowerCAmelCase       :     int   				=			' ' * indent_level + line_to_add
	# Insert `pipeline_model_mapping` to `class_lines`.
	# (The line at `target_idx` should be kept by definition!)
	lowerCAmelCase       :     List[Any]   				=			class_lines[: target_idx + 1] + [line_to_add] + class_lines[target_idx + 1 :]
	# Remove the lines that are marked to be removed
	lowerCAmelCase       :     Dict   				=			[x for x in class_lines if x is not None]

	# Move from test class to module (in order to write to the test file)
	lowerCAmelCase       :     List[Any]   				=			inspect.getsourcelines(inspect.getmodule(_A					)					)[0]
	# Be careful with the 1-off between line numbers and array indices
	lowerCAmelCase       :     Union[str, Any]   				=			module_lines[: class_start_line_no - 1] + class_lines + module_lines[class_end_line_no:]
	lowerCAmelCase       :     List[Any]   				=			''.join(_A					)

	lowerCAmelCase       :     Tuple   				=			inspect.getsourcefile(_A					)
	with open(_A       , 'w'       , encoding='UTF-8'       , newline='\n'					) as fp:
		fp.write(_A					)

	return line_to_add

def       __UpperCamelCase     (     _A     :					str       , _A     :					Dict=False					)     ->   int:




	"""simple docstring"""





	lowerCAmelCase       :     Optional[int]   				=			find_test_class(_A					)
	if test_class:
		add_pipeline_model_mapping(_A       , overwrite=_A					)


if __name__ == "__main__":
				_lowerCAmelCase	:		str		  =						argparse.ArgumentParser()
				parser.add_argument(
				    '--test_file', type=str, help='A path to the test file, starting with the repository\'s `tests` directory.'
				)
				parser.add_argument(
				    '--all',
				    action='store_true',
				    help='If to check and modify all test files.',
				)
				parser.add_argument(
				    '--overwrite',
				    action='store_true',
				    help='If to overwrite a test class if it has already defined `pipeline_model_mapping`.',
				)
				_lowerCAmelCase	:		Tuple		  =						parser.parse_args()

				if not args.all and not args.test_file:
								raise ValueError('Please specify either `test_file` or pass `--all` to check/modify all test files.')
				elif args.all and args.test_file:
								raise ValueError('Only one of `--test_file` and `--all` could be specified.')

				_lowerCAmelCase	:		Dict		  =						[]
				if args.test_file:
								_lowerCAmelCase	:		List[str]		  =						[args.test_file]
				else:
								_lowerCAmelCase	:		str		  =						os.path.join('tests', 'models', '**', 'test_modeling_*.py')
								for test_file in glob.glob(pattern):
												# `Flax` is not concerned at this moment
												if not test_file.startswith('test_modeling_flax_'):
																test_files.append(test_file)

				for test_file in test_files:
								if test_file in TEST_FILE_TO_IGNORE:
												print(f"""[SKIPPED] {test_file} is skipped as it is in `TEST_FILE_TO_IGNORE` in the file {__file__}.""")
												continue
								add_pipeline_model_mapping_to_test_file(test_file, overwrite=args.overwrite)




'''simple docstring'''




import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

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


_lowerCAmelCase	:		Tuple		  =						logging.get_logger(__name__)

_lowerCAmelCase	:		Dict		  =						{
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
}

_lowerCAmelCase	:		Optional[int]		  =						{
    'vocab_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/vocab.json',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/vocab.json',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/vocab.json',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json'
        ),
    },
    'merges_file': {
        'roberta-base': 'https://huggingface.co/roberta-base/resolve/main/merges.txt',
        'roberta-large': 'https://huggingface.co/roberta-large/resolve/main/merges.txt',
        'roberta-large-mnli': 'https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt',
        'distilroberta-base': 'https://huggingface.co/distilroberta-base/resolve/main/merges.txt',
        'roberta-base-openai-detector': 'https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt',
        'roberta-large-openai-detector': (
            'https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt'
        ),
    },
}

_lowerCAmelCase	:		Tuple		  =						{
    'roberta-base': 512,
    'roberta-large': 512,
    'roberta-large-mnli': 512,
    'distilroberta-base': 512,
    'roberta-base-openai-detector': 512,
    'roberta-large-openai-detector': 512,
}

@lru_cache()
def       __UpperCamelCase     (     )     ->   Any:




	"""simple docstring"""





	lowerCAmelCase       :     Any   				=			(
	    list(range(ord('!'					)       , ord('~'					) + 1					)					) + list(range(ord('¡'					)       , ord('¬'					) + 1					)					) + list(range(ord('®'					)       , ord('ÿ'					) + 1					)					)
	)
	lowerCAmelCase       :     Optional[int]   				=			bs[:]
	lowerCAmelCase       :     Optional[int]   				=			0
	for b in range(2**8					):
		if b not in bs:
			bs.append(_A					)
			cs.append(2**8 + n					)
			n += 1
	lowerCAmelCase       :     int   				=			[chr(_A					) for n in cs]
	return dict(zip(_A       , _A					)					)

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




	"""simple docstring"""





	lowerCAmelCase       :     Tuple   				=			set()
	lowerCAmelCase       :     List[Any]   				=			word[0]
	for char in word[1:]:
		pairs.add((prev_char, char)					)
		lowerCAmelCase       :     Dict   				=			char
	return pairs






class 			lowerCAmelCase					(					a				):
	_lowerCamelCase :       int         =			VOCAB_FILES_NAMES
	_lowerCamelCase :       Any         =			PRETRAINED_VOCAB_FILES_MAP
	_lowerCamelCase :       int         =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_lowerCamelCase :       Optional[Any]         =			["""input_ids""", """attention_mask"""]



	def __init__(       self			,       snake_case__			,       snake_case__			,       snake_case__="replace"			,       snake_case__="<s>"			,       snake_case__="</s>"			,       snake_case__="</s>"			,       snake_case__="<s>"			,       snake_case__="<unk>"			,       snake_case__="<pad>"			,       snake_case__="<mask>"			,       snake_case__=False			,       **snake_case__			,       ):
		lowerCAmelCase       :     Optional[Any]   				=			AddedToken(snake_case__			,       lstrip=snake_case__			,       rstrip=snake_case__     ) if isinstance(snake_case__			,       snake_case__     ) else bos_token
		lowerCAmelCase       :     List[Any]   				=			AddedToken(snake_case__			,       lstrip=snake_case__			,       rstrip=snake_case__     ) if isinstance(snake_case__			,       snake_case__     ) else eos_token
		lowerCAmelCase       :     Any   				=			AddedToken(snake_case__			,       lstrip=snake_case__			,       rstrip=snake_case__     ) if isinstance(snake_case__			,       snake_case__     ) else sep_token
		lowerCAmelCase       :     str   				=			AddedToken(snake_case__			,       lstrip=snake_case__			,       rstrip=snake_case__     ) if isinstance(snake_case__			,       snake_case__     ) else cls_token
		lowerCAmelCase       :     Tuple   				=			AddedToken(snake_case__			,       lstrip=snake_case__			,       rstrip=snake_case__     ) if isinstance(snake_case__			,       snake_case__     ) else unk_token
		lowerCAmelCase       :     List[Any]   				=			AddedToken(snake_case__			,       lstrip=snake_case__			,       rstrip=snake_case__     ) if isinstance(snake_case__			,       snake_case__     ) else pad_token

		# Mask token behave like a normal word, i.e. include the space before it
		lowerCAmelCase       :     List[str]   				=			AddedToken(snake_case__			,       lstrip=snake_case__			,       rstrip=snake_case__     ) if isinstance(snake_case__			,       snake_case__     ) else mask_token

		super().__init__(
		    errors=snake_case__			,       bos_token=snake_case__			,       eos_token=snake_case__			,       unk_token=snake_case__			,       sep_token=snake_case__			,       cls_token=snake_case__			,       pad_token=snake_case__			,       mask_token=snake_case__			,       add_prefix_space=snake_case__			,       **snake_case__			,       )

		with open(snake_case__			,       encoding='utf-8'     ) as vocab_handle:
			lowerCAmelCase       :     Tuple   				=			json.load(snake_case__     )
		lowerCAmelCase       :     Union[str, Any]   				=			{v: k for k, v in self.encoder.items()}
		lowerCAmelCase       :     List[str]   				=			errors  # how to handle errors in decoding
		lowerCAmelCase       :     Tuple   				=			bytes_to_unicode()
		lowerCAmelCase       :     Dict   				=			{v: k for k, v in self.byte_encoder.items()}
		with open(snake_case__			,       encoding='utf-8'     ) as merges_handle:
			lowerCAmelCase       :     List[str]   				=			merges_handle.read().split('\n'     )[1:-1]
		lowerCAmelCase       :     Tuple   				=			[tuple(merge.split()     ) for merge in bpe_merges]
		lowerCAmelCase       :     Optional[Any]   				=			dict(zip(snake_case__			,       range(len(snake_case__     )     )     )     )
		lowerCAmelCase       :     List[str]   				=			{}
		lowerCAmelCase       :     Dict   				=			add_prefix_space

		# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
		lowerCAmelCase       :     Dict   				=			re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'     )



	@property
	def 					lowercase  (       self     ):
		return len(self.encoder     )



	def 					lowercase  (       self     ):
		return dict(self.encoder			,       **self.added_tokens_encoder     )



	def 					lowercase  (       self			,       snake_case__     ):
		if token in self.cache:
			return self.cache[token]
		lowerCAmelCase       :     List[str]   				=			tuple(snake_case__     )
		lowerCAmelCase       :     Union[str, Any]   				=			get_pairs(snake_case__     )

		if not pairs:
			return token

		while True:
			lowerCAmelCase       :     str   				=			min(snake_case__			,       key=lambda snake_case__     : self.bpe_ranks.get(snake_case__			,       float('inf'     )     )     )
			if bigram not in self.bpe_ranks:
				break
			lowerCAmelCase				, lowerCAmelCase       :     List[Any]   				=			bigram
			lowerCAmelCase       :     Optional[int]   				=			[]
			lowerCAmelCase       :     Union[str, Any]   				=			0
			while i < len(snake_case__     ):
				try:
					lowerCAmelCase       :     Union[str, Any]   				=			word.index(snake_case__			,       snake_case__     )
				except ValueError:
					new_word.extend(word[i:]     )
					break
				else:
					new_word.extend(word[i:j]     )
					lowerCAmelCase       :     List[str]   				=			j

				if word[i] == first and i < len(snake_case__     ) - 1 and word[i + 1] == second:
					new_word.append(first + second     )
					i += 2
				else:
					new_word.append(word[i]     )
					i += 1
			lowerCAmelCase       :     int   				=			tuple(snake_case__     )
			lowerCAmelCase       :     List[Any]   				=			new_word
			if len(snake_case__     ) == 1:
				break
			else:
				lowerCAmelCase       :     Union[str, Any]   				=			get_pairs(snake_case__     )
		lowerCAmelCase       :     Optional[Any]   				=			' '.join(snake_case__     )
		lowerCAmelCase       :     Any   				=			word
		return word



	def 					lowercase  (       self			,       snake_case__     ):
		lowerCAmelCase       :     List[Any]   				=			[]
		for token in re.findall(self.pat			,       snake_case__     ):
			lowerCAmelCase       :     Dict   				=			''.join(
			    self.byte_encoder[b] for b in token.encode('utf-8'     )     )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
			bpe_tokens.extend(bpe_token for bpe_token in self.bpe(snake_case__     ).split(' '     )     )
		return bpe_tokens



	def 					lowercase  (       self			,       snake_case__     ):
		return self.encoder.get(snake_case__			,       self.encoder.get(self.unk_token     )     )



	def 					lowercase  (       self			,       snake_case__     ):
		return self.decoder.get(snake_case__     )



	def 					lowercase  (       self			,       snake_case__     ):
		lowerCAmelCase       :     Union[str, Any]   				=			''.join(snake_case__     )
		lowerCAmelCase       :     Any   				=			bytearray([self.byte_decoder[c] for c in text]     ).decode('utf-8'			,       errors=self.errors     )
		return text



	def 					lowercase  (       self			,       snake_case__			,       snake_case__ = None     ):
		if not os.path.isdir(snake_case__     ):
			logger.error(f"Vocabulary path ({save_directory}) should be a directory"     )
			return
		lowerCAmelCase       :     Union[str, Any]   				=			os.path.join(
		    snake_case__			,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']     )
		lowerCAmelCase       :     int   				=			os.path.join(
		    snake_case__			,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']     )

		with open(snake_case__			,       'w'			,       encoding='utf-8'     ) as f:
			f.write(json.dumps(self.encoder			,       indent=2			,       sort_keys=snake_case__			,       ensure_ascii=snake_case__     ) + '\n'     )

		lowerCAmelCase       :     List[Any]   				=			0
		with open(snake_case__			,       'w'			,       encoding='utf-8'     ) as writer:
			writer.write('#version: 0.2\n'     )
			for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,       key=lambda snake_case__     : kv[1]     ):
				if index != token_index:
					logger.warning(
					    f"Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."
					    ' Please check that the tokenizer is not corrupted!'     )
					lowerCAmelCase       :     int   				=			token_index
				writer.write(' '.join(snake_case__     ) + '\n'     )
				index += 1

		return vocab_file, merge_file



	def 					lowercase  (       self			,       snake_case__			,       snake_case__ = None     ):
		if token_ids_a is None:
			return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
		lowerCAmelCase       :     Optional[Any]   				=			[self.cls_token_id]
		lowerCAmelCase       :     List[str]   				=			[self.sep_token_id]
		return cls + token_ids_a + sep + sep + token_ids_a + sep



	def 					lowercase  (       self			,       snake_case__			,       snake_case__ = None			,       snake_case__ = False     ):
		if already_has_special_tokens:
			return super().get_special_tokens_mask(
			    token_ids_a=snake_case__			,       token_ids_a=snake_case__			,       already_has_special_tokens=snake_case__     )

		if token_ids_a is None:
			return [1] + ([0] * len(snake_case__     )) + [1]
		return [1] + ([0] * len(snake_case__     )) + [1, 1] + ([0] * len(snake_case__     )) + [1]



	def 					lowercase  (       self			,       snake_case__			,       snake_case__ = None     ):
		lowerCAmelCase       :     Union[str, Any]   				=			[self.sep_token_id]
		lowerCAmelCase       :     Tuple   				=			[self.cls_token_id]

		if token_ids_a is None:
			return len(cls + token_ids_a + sep     ) * [0]
		return len(cls + token_ids_a + sep + sep + token_ids_a + sep     ) * [0]



	def 					lowercase  (       self			,       snake_case__			,       snake_case__=False			,       **snake_case__     ):
		lowerCAmelCase       :     List[str]   				=			kwargs.pop('add_prefix_space'			,       self.add_prefix_space     )
		if (is_split_into_words or add_prefix_space) and (len(snake_case__     ) > 0 and not text[0].isspace()):
			lowerCAmelCase       :     Optional[Any]   				=			' ' + text
		return (text, kwargs)
