

import json
from typing import List, Optional, Tuple

from tokenizers import pre_tokenizers, processors

from ...tokenization_utils_base import AddedToken, BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_longformer import LongformerTokenizer


lowerCamelCase   					=  logging.get_logger(__name__)

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

lowerCamelCase   					=  {
    '''vocab_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/vocab.json''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/vocab.json'''
        ),
    },
    '''merges_file''': {
        '''allenai/longformer-base-4096''': '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/merges.txt''',
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/merges.txt'''
        ),
    },
    '''tokenizer_file''': {
        '''allenai/longformer-base-4096''': (
            '''https://huggingface.co/allenai/longformer-base-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096''': (
            '''https://huggingface.co/allenai/longformer-large-4096/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-finetuned-triviaqa''': (
            '''https://huggingface.co/allenai/longformer-large-4096-finetuned-triviaqa/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-base-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-base-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
        '''allenai/longformer-large-4096-extra.pos.embd.only''': (
            '''https://huggingface.co/allenai/longformer-large-4096-extra.pos.embd.only/resolve/main/tokenizer.json'''
        ),
    },
}

lowerCamelCase   					=  {
    '''allenai/longformer-base-4096''': 4_0_9_6,
    '''allenai/longformer-large-4096''': 4_0_9_6,
    '''allenai/longformer-large-4096-finetuned-triviaqa''': 4_0_9_6,
    '''allenai/longformer-base-4096-extra.pos.embd.only''': 4_0_9_6,
    '''allenai/longformer-large-4096-extra.pos.embd.only''': 4_0_9_6,
}





class      snake_case_      (					_a				):


							"""simple docstring"""





							__UpperCAmelCase      =VOCAB_FILES_NAMES
							__UpperCAmelCase      =PRETRAINED_VOCAB_FILES_MAP
							__UpperCAmelCase      =PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							__UpperCAmelCase      =["""input_ids""", """attention_mask"""]
							__UpperCAmelCase      =LongformerTokenizer




							def __init__(			self       ,    _A=None       ,    _A=None       ,    _A=None       ,    _A="replace"       ,    _A="<s>"       ,    _A="</s>"       ,    _A="</s>"       ,    _A="<s>"       ,    _A="<unk>"       ,    _A="<pad>"       ,    _A="<mask>"       ,    _A=False       ,    _A=True       ,    **_A       ,    ):
												super().__init__(
												    _A       ,    _A       ,    tokenizer_file=_A       ,    errors=_A       ,    bos_token=_A       ,    eos_token=_A       ,    sep_token=_A       ,    cls_token=_A       ,    unk_token=_A       ,    pad_token=_A       ,    mask_token=_A       ,    add_prefix_space=_A       ,    trim_offsets=_A       ,    **_A       ,    )

												__lowerCAmelCase       =				json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()				)
												if pre_tok_state.get('add_prefix_space'       ,    _A				) != add_prefix_space:
																	__lowerCAmelCase       =				getattr(_A       ,    pre_tok_state.pop('type'				)				)
																	__lowerCAmelCase       =				add_prefix_space
																	__lowerCAmelCase       =				pre_tok_class(**_A				)

												__lowerCAmelCase       =				add_prefix_space

												__lowerCAmelCase       =				'post_processor'
												__lowerCAmelCase       =				getattr(self.backend_tokenizer       ,    _A       ,    _A				)
												if tokenizer_component_instance:
																	__lowerCAmelCase       =				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:
																						__lowerCAmelCase       =				tuple(state['sep']				)
																	if "cls" in state:
																						__lowerCAmelCase       =				tuple(state['cls']				)

																	__lowerCAmelCase       =				False

																	if state.get('add_prefix_space'       ,    _A				) != add_prefix_space:
																						__lowerCAmelCase       =				add_prefix_space
																						__lowerCAmelCase       =				True

																	if state.get('trim_offsets'       ,    _A				) != trim_offsets:
																						__lowerCAmelCase       =				trim_offsets
																						__lowerCAmelCase       =				True

																	if changes_to_apply:
																						__lowerCAmelCase       =				getattr(_A       ,    state.pop('type'				)				)
																						__lowerCAmelCase       =				component_class(**_A				)
																						setattr(self.backend_tokenizer       ,    _A       ,    _A				)




							@property
							def 							A__	(			self				):
												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 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				AddedToken(_A       ,    lstrip=_A       ,    rstrip=_A				) if isinstance(_A       ,    _A				) else value
												__lowerCAmelCase       =				value




							def 							A__	(			self       ,    *_A       ,    **_A				):
												__lowerCAmelCase       =				kwargs.get('is_split_into_words'       ,    _A				)
												assert self.add_prefix_space or not is_split_into_words, (
												    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
												    "to use it with pretokenized inputs."
												)

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




							def 							A__	(			self       ,    *_A       ,    **_A				):
												__lowerCAmelCase       =				kwargs.get('is_split_into_words'       ,    _A				)

												assert self.add_prefix_space or not is_split_into_words, (
												    F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True """
												    "to use it with pretokenized inputs."
												)

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




							def 							A__	(			self       ,    _A       ,    _A = None				):
												__lowerCAmelCase       =				self._tokenizer.model.save(_A       ,    name=_A				)
												return tuple(_A				)




							def 							A__	(			self       ,    _A       ,    _A=None				):
												__lowerCAmelCase       =				[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 							A__	(			self       ,    _A       ,    _A = None				):
												__lowerCAmelCase       =				[self.sep_token_id]
												__lowerCAmelCase       =				[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]









# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from typing import List


def 							__lowercase     (	UpperCAmelCase__		,       UpperCAmelCase__   ):

					"""simple docstring"""






					if name != "training_function" and name != "main":
										raise ValueError(F"""Incorrect function name passed: {name}, choose either 'main' or 'training_function'"""   )
					__lowerCAmelCase,						__lowerCAmelCase       =				[], False
					for line in lines:
										if not found_start and F"""def {name}""" in line:
															__lowerCAmelCase       =				True
															good_lines.append(UpperCAmelCase__   )
															continue
										if found_start:
															if name == "training_function" and "def main" in line:
																				return good_lines
															if name == "main" and "if __name__" in line:
																				return good_lines
															good_lines.append(UpperCAmelCase__   )


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






					return [line for line in lines if not line.lstrip().startswith('#'   ) and line != "\n"]


def 							__lowercase     (	UpperCAmelCase__		,       UpperCAmelCase__		,       UpperCAmelCase__		,       UpperCAmelCase__ = None   ):

					"""simple docstring"""






					with open(UpperCAmelCase__		,       'r'   ) as f:
										__lowerCAmelCase       =				f.readlines()
					with open(os.path.abspath(os.path.join('examples'		,       'nlp_example.py'   )   )		,       'r'   ) as f:
										__lowerCAmelCase       =				f.readlines()
					with open(UpperCAmelCase__		,       'r'   ) as f:
										__lowerCAmelCase       =				f.readlines()
					if secondary_filename is not None:
										with open(UpperCAmelCase__		,       'r'   ) as f:
															__lowerCAmelCase       =				f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
					if parser_only:
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
										if secondary_filename is not None:
															__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
					else:
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )
										if secondary_filename is not None:
															__lowerCAmelCase       =				clean_lines(
															    get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )

					__lowerCAmelCase       =				'train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n'

					# Specific code in our script that differs from the full version, aka what is new
					__lowerCAmelCase       =				[]
					__lowerCAmelCase       =				[]  # We keep track of the idxs just in case it's a repeated statement
					__lowerCAmelCase       =				iter(UpperCAmelCase__   )
					for i in range(len(UpperCAmelCase__   ) - 1   ):
										if i not in passed_idxs:
															__lowerCAmelCase       =				next(UpperCAmelCase__   )
															if (line not in full_file_func) and (line.lstrip() != _dl_line):
																				if "TESTING_MOCKED_DATALOADERS" not in line:
																									new_feature_code.append(UpperCAmelCase__   )
																									passed_idxs.append(UpperCAmelCase__   )
																				else:
																									# Skip over the `config['num_epochs'] = 2` statement
																									__lowerCAmelCase       =				next(UpperCAmelCase__   )

    # Extract out just the new parts from the full_file_training_func
					__lowerCAmelCase       =				[]
					__lowerCAmelCase       =				[]  # We keep track of the idxs just in case it's a repeated statement
					for i, line in enumerate(UpperCAmelCase__   ):
										if i not in passed_idxs:
															if (line not in full_file_func) and (line.lstrip() != _dl_line):
																				if "TESTING_MOCKED_DATALOADERS" not in line:
																									new_full_example_parts.append(UpperCAmelCase__   )
																									passed_idxs.append(UpperCAmelCase__   )

    # Finally, get the overall diff
					__lowerCAmelCase       =				[line for line in new_feature_code if line not in new_full_example_parts]
					if secondary_filename is not None:
										__lowerCAmelCase       =				[line for line in full_file_contents if line not in secondary_file_func]
										__lowerCAmelCase       =				[line for line in diff_from_example if line not in diff_from_two]

					return diff_from_example






