import argparse
import os
import re

import packaging.version


_lowerCamelCase   :				Union[str, Any]     			=						'''examples/'''
_lowerCamelCase   :				str     			=						{
    '''examples''': (re.compile(r'''^check_min_version\("[^"]+"\)\s*$''', re.MULTILINE), '''check_min_version("VERSION")\n'''),
    '''init''': (re.compile(r'''^__version__\s+=\s+"([^"]+)"\s*$''', re.MULTILINE), '''__version__ = "VERSION"\n'''),
    '''setup''': (re.compile(r'''^(\s*)version\s*=\s*"[^"]+",''', re.MULTILINE), r'''\1version="VERSION",'''),
    '''doc''': (re.compile(r'''^(\s*)release\s*=\s*"[^"]+"$''', re.MULTILINE), '''release = "VERSION"\n'''),
}
_lowerCamelCase   :				Any     			=						{
    '''init''': '''src/transformers/__init__.py''',
    '''setup''': '''setup.py''',
}
_lowerCamelCase   :				List[str]     			=						'''README.md'''





def 		__lowerCamelCase							(UpperCAmelCase__       :							int ,	UpperCAmelCase__       :							Union[str, Any] ,	UpperCAmelCase__       :							List[str]					):
					with open(UpperCAmelCase__ ,	"r" ,	encoding="utf-8" ,	newline="\n"					) as f:
										SCREAMING_SNAKE_CASE           =    f.read()
					SCREAMING_SNAKE_CASE     ,				SCREAMING_SNAKE_CASE           =    REPLACE_PATTERNS[pattern]
					SCREAMING_SNAKE_CASE           =    replace.replace("VERSION" ,	UpperCAmelCase__					)
					SCREAMING_SNAKE_CASE           =    re_pattern.sub(UpperCAmelCase__ ,	UpperCAmelCase__					)
					with open(UpperCAmelCase__ ,	"w" ,	encoding="utf-8" ,	newline="\n"					) as f:
										f.write(UpperCAmelCase__					)





def 		__lowerCamelCase							(UpperCAmelCase__       :							Dict					):
					for folder, directories, fnames in os.walk(UpperCAmelCase__					):
										# Removing some of the folders with non-actively maintained examples from the walk
										if "research_projects" in directories:
															directories.remove("research_projects"					)
										if "legacy" in directories:
															directories.remove("legacy"					)
										for fname in fnames:
															if fname.endswith(".py"					):
																				update_version_in_file(os.path.join(UpperCAmelCase__ ,	UpperCAmelCase__					) ,	UpperCAmelCase__ ,	pattern="examples"					)





def 		__lowerCamelCase							(UpperCAmelCase__       :							Any ,	UpperCAmelCase__       :							int=False					):
					for pattern, fname in REPLACE_FILES.items():
										update_version_in_file(UpperCAmelCase__ ,	UpperCAmelCase__ ,	UpperCAmelCase__					)
					if not patch:
										update_version_in_examples(UpperCAmelCase__					)





def 		__lowerCamelCase							():
					SCREAMING_SNAKE_CASE           =    "🤗 Transformers currently provides the following architectures"
					SCREAMING_SNAKE_CASE           =    "1. Want to contribute a new model?"
					with open(UpperCAmelCase__ ,	"r" ,	encoding="utf-8" ,	newline="\n"					) as f:
										SCREAMING_SNAKE_CASE           =    f.readlines()

					# Find the start of the list.
					SCREAMING_SNAKE_CASE           =    0
					while not lines[start_index].startswith(_start_prompt					):
										start_index += 1
					start_index += 1

					SCREAMING_SNAKE_CASE           =    start_index
					# Update the lines in the model list.
					while not lines[index].startswith(_end_prompt					):
										if lines[index].startswith("1."					):
															SCREAMING_SNAKE_CASE           =    lines[index].replace(
															    "https://huggingface.co/docs/transformers/main/model_doc" ,	"https://huggingface.co/docs/transformers/model_doc" ,	)
										index += 1

					with open(UpperCAmelCase__ ,	"w" ,	encoding="utf-8" ,	newline="\n"					) as f:
										f.writelines(UpperCAmelCase__					)





def 		__lowerCamelCase							():
					with open(REPLACE_FILES["init"] ,	"r"					) as f:
										SCREAMING_SNAKE_CASE           =    f.read()
					SCREAMING_SNAKE_CASE           =    REPLACE_PATTERNS["init"][0].search(UpperCAmelCase__					).groups()[0]
					return packaging.version.parse(UpperCAmelCase__					)





def 		__lowerCamelCase							(UpperCAmelCase__       :							Dict=False					):
					SCREAMING_SNAKE_CASE           =    get_version()
					if patch and default_version.is_devrelease:
										raise ValueError("Can't create a patch version from the dev branch, checkout a released version!"					)
					if default_version.is_devrelease:
										SCREAMING_SNAKE_CASE           =    default_version.base_version
					elif patch:
										SCREAMING_SNAKE_CASE           =    F"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
					else:
										SCREAMING_SNAKE_CASE           =    F"{default_version.major}.{default_version.minor + 1}.0"

					# Now let's ask nicely if that's the right one.
					SCREAMING_SNAKE_CASE           =    input(F"Which version are you releasing? [{default_version}]"					)
					if len(UpperCAmelCase__					) == 0:
										SCREAMING_SNAKE_CASE           =    default_version

					print(F"Updating version to {version}."					)
					global_version_update(UpperCAmelCase__ ,	patch=UpperCAmelCase__					)
					if not patch:
										print("Cleaning main README, don't forget to run `make fix-copies`."					)
										clean_main_ref_in_model_list()





def 		__lowerCamelCase							():
					SCREAMING_SNAKE_CASE           =    get_version()
					SCREAMING_SNAKE_CASE           =    F"{current_version.major}.{current_version.minor + 1}.0.dev0"
					SCREAMING_SNAKE_CASE           =    current_version.base_version

					# Check with the user we got that right.
					SCREAMING_SNAKE_CASE           =    input(F"Which version are we developing now? [{dev_version}]"					)
					if len(UpperCAmelCase__					) == 0:
										SCREAMING_SNAKE_CASE           =    dev_version

					print(F"Updating version to {version}."					)
					global_version_update(UpperCAmelCase__					)
					print("Cleaning main README, don't forget to run `make fix-copies`."					)
					clean_main_ref_in_model_list()


if __name__ == "__main__":
							_lowerCamelCase   :				Tuple     			=						argparse.ArgumentParser()
							parser.add_argument('''--post_release''', action='''store_true''', help='''Whether this is pre or post release.''')
							parser.add_argument('''--patch''', action='''store_true''', help='''Whether or not this is a patch release.''')
							_lowerCamelCase   :				int     			=						parser.parse_args()
							if not args.post_release:
														pre_release_work(patch=args.patch)
							elif args.patch:
														print('''Nothing to do after a patch :-)''')
							else:
														post_release_work()





import json
from typing import Dict, List, Optional, Tuple, Union

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding, EncodedInput
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import PaddingStrategy, logging
from .tokenization_led import LEDTokenizer


_lowerCamelCase   :				Union[str, Any]     			=						logging.get_logger(__name__)


_lowerCamelCase   :				str     			=						{'''vocab_file''': '''vocab.json''', '''merges_file''': '''merges.txt''', '''tokenizer_file''': '''tokenizer.json'''}

_lowerCamelCase   :				int     			=						{
    '''vocab_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json''',
    },
    '''merges_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt''',
    },
    '''tokenizer_file''': {
        '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json''',
    },
}

_lowerCamelCase   :				List[Any]     			=						{
    '''allenai/led-base-16384''': 1_63_84,
}


class   lowercase      (       a       ):
							lowercase__  :    Tuple									=							VOCAB_FILES_NAMES
							lowercase__  :    Any									=							PRETRAINED_VOCAB_FILES_MAP
							lowercase__  :    Optional[Any]									=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							lowercase__  :    Optional[Any]									=							LEDTokenizer
							lowercase__  :    str									=							["""input_ids""", """attention_mask"""]




							def __init__(  self				:   Union[str, Any]		,							_UpperCamelCase				:   Tuple=None		,							_UpperCamelCase				:   str=None		,							_UpperCamelCase				:   Tuple=None		,							_UpperCamelCase				:   List[str]="replace"		,							_UpperCamelCase				:   str="<s>"		,							_UpperCamelCase				:   List[Any]="</s>"		,							_UpperCamelCase				:   List[Any]="</s>"		,							_UpperCamelCase				:   List[str]="<s>"		,							_UpperCamelCase				:   Tuple="<unk>"		,							_UpperCamelCase				:   List[Any]="<pad>"		,							_UpperCamelCase				:   Tuple="<mask>"		,							_UpperCamelCase				:   List[str]=False		,							_UpperCamelCase				:   List[Any]=True		,							**_UpperCamelCase				:   Optional[Any]		,							)   ->			Tuple:



												'''simple docstring'''

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

												SCREAMING_SNAKE_CASE           =    json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__() )
												if pre_tok_state.get("add_prefix_space"		,							_UpperCamelCase ) != add_prefix_space:
																	SCREAMING_SNAKE_CASE           =    getattr(_UpperCamelCase		,							pre_tok_state.pop("type" ) )
																	SCREAMING_SNAKE_CASE           =    add_prefix_space
																	SCREAMING_SNAKE_CASE           =    pre_tok_class(**_UpperCamelCase )

												SCREAMING_SNAKE_CASE           =    add_prefix_space

												# the pre_tokenizer is already updated in the GPT2TokenizerFast `__init__`
												SCREAMING_SNAKE_CASE           =    "post_processor"
												SCREAMING_SNAKE_CASE           =    getattr(self.backend_tokenizer		,							_UpperCamelCase		,							_UpperCamelCase )
												if tokenizer_component_instance:
																	SCREAMING_SNAKE_CASE           =    json.loads(tokenizer_component_instance.__getstate__() )

																	# The lists 'sep' and 'cls' must be cased in tuples for the object `post_processor_class`
																	if "sep" in state:
																						SCREAMING_SNAKE_CASE           =    tuple(state["sep"] )
																	if "cls" in state:
																						SCREAMING_SNAKE_CASE           =    tuple(state["cls"] )

																	SCREAMING_SNAKE_CASE           =    False

																	if state.get("add_prefix_space"		,							_UpperCamelCase ) != add_prefix_space:
																						SCREAMING_SNAKE_CASE           =    add_prefix_space
																						SCREAMING_SNAKE_CASE           =    True

																	if state.get("trim_offsets"		,							_UpperCamelCase ) != trim_offsets:
																						SCREAMING_SNAKE_CASE           =    trim_offsets
																						SCREAMING_SNAKE_CASE           =    True

																	if changes_to_apply:
																						SCREAMING_SNAKE_CASE           =    getattr(_UpperCamelCase		,							state.pop("type" ) )
																						SCREAMING_SNAKE_CASE           =    component_class(**_UpperCamelCase )
																						setattr(self.backend_tokenizer		,							_UpperCamelCase		,							_UpperCamelCase )




							@property
							# Copied from transformers.models.bart.tokenization_bart_fast.BartTokenizerFast.mask_token with BART->LED
							def 		__snake_case(  self				:   int )   ->			str:



												'''simple docstring'''

												if self._mask_token is None:
																	if self.verbose:
																						logger.error("Using mask_token, but it is not set yet." )
																	return None
												return str(self._mask_token )




							@mask_token.setter
							def 		__snake_case(  self				:   Optional[int]		,							_UpperCamelCase				:   Optional[int] )   ->			Dict:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    AddedToken(_UpperCamelCase		,							lstrip=_UpperCamelCase		,							rstrip=_UpperCamelCase ) if isinstance(_UpperCamelCase		,							_UpperCamelCase ) else value
												SCREAMING_SNAKE_CASE           =    value




							def 		__snake_case(  self				:   List[Any]		,							*_UpperCamelCase				:   Optional[int]		,							**_UpperCamelCase				:   Union[str, Any] )   ->			BatchEncoding:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    kwargs.get("is_split_into_words"		,							_UpperCamelCase )

												if is_split_into_words and not self.add_prefix_space:
																	raise ValueError(
																	    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
																	    "to use it with pretokenized inputs." )

												return super()._batch_encode_plus(*_UpperCamelCase		,							**_UpperCamelCase )




							def 		__snake_case(  self				:   int		,							*_UpperCamelCase				:   Dict		,							**_UpperCamelCase				:   Tuple )   ->			BatchEncoding:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    kwargs.get("is_split_into_words"		,							_UpperCamelCase )

												if is_split_into_words and not self.add_prefix_space:
																	raise ValueError(
																	    F"You need to instantiate {self.__class__.__name__} with add_prefix_space=True "
																	    "to use it with pretokenized inputs." )

												return super()._encode_plus(*_UpperCamelCase		,							**_UpperCamelCase )




							def 		__snake_case(  self				:   List[Any]		,							_UpperCamelCase				:   str		,							_UpperCamelCase				:   Optional[str] = None )   ->			Tuple[str]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    self._tokenizer.model.save(_UpperCamelCase		,							name=_UpperCamelCase )
												return tuple(_UpperCamelCase )




							def 		__snake_case(  self				:   List[Any]		,							_UpperCamelCase				:   List[Any]		,							_UpperCamelCase				:   int=None )   ->			List[Any]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    [self.bos_token_id] + token_ids_a + [self.eos_token_id]
												if token_ids_a is None:
																	return output

												return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




							def 		__snake_case(  self				:   Dict		,							_UpperCamelCase				:   List[int]		,							_UpperCamelCase				:   Optional[List[int]] = None )   ->			List[int]:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    [self.sep_token_id]
												SCREAMING_SNAKE_CASE           =    [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 		__snake_case(  self				:   Optional[Any]		,							_UpperCamelCase				:   Union[Dict[str, EncodedInput], BatchEncoding]		,							_UpperCamelCase				:   Optional[int] = None		,							_UpperCamelCase				:   PaddingStrategy = PaddingStrategy.DO_NOT_PAD		,							_UpperCamelCase				:   Optional[int] = None		,							_UpperCamelCase				:   Optional[bool] = None		,							)   ->			dict:



												'''simple docstring'''

												SCREAMING_SNAKE_CASE           =    super()._pad(
												    encoded_inputs=_UpperCamelCase		,							max_length=_UpperCamelCase		,							padding_strategy=_UpperCamelCase		,							pad_to_multiple_of=_UpperCamelCase		,							return_attention_mask=_UpperCamelCase		,							)

												# Load from model defaults
												if return_attention_mask is None:
																	SCREAMING_SNAKE_CASE           =    "attention_mask" in self.model_input_names

												if return_attention_mask and "global_attention_mask" in encoded_inputs:
																	SCREAMING_SNAKE_CASE           =    encoded_inputs[self.model_input_names[0]]
																	# `global_attention_mask` need to have the same length as other (sequential) inputs.
																	SCREAMING_SNAKE_CASE           =    len(encoded_inputs["global_attention_mask"] ) != len(_UpperCamelCase )

																	if needs_to_be_padded:
																						SCREAMING_SNAKE_CASE           =    len(_UpperCamelCase ) - len(encoded_inputs["global_attention_mask"] )

																						if self.padding_side == "right":
																											# Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
																											SCREAMING_SNAKE_CASE           =    (
																											    encoded_inputs["global_attention_mask"] + [-1] * difference
																											)
																						elif self.padding_side == "left":
																											SCREAMING_SNAKE_CASE           =    [-1] * difference + encoded_inputs[
																											    "global_attention_mask"
																											]
																						else:
																											raise ValueError("Invalid padding strategy:" + str(self.padding_side ) )

												return encoded_inputs




