


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
			from .tokenization_pegasus import PegasusTokenizer
else:
			lowerCAmelCase			=				None


lowerCAmelCase			=				logging.get_logger(__name__)


lowerCAmelCase			=				'▁'

lowerCAmelCase			=				{'vocab_file': 'spiece.model', 'tokenizer_file': 'tokenizer.json'}

lowerCAmelCase			=				{
    'vocab_file': {'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/spiece.model'},
    'tokenizer_file': {
        'google/pegasus-xsum': 'https://huggingface.co/google/pegasus-xsum/resolve/main/tokenizer.json'
    },
}

lowerCAmelCase			=				{
    'google/pegasus-xsum': 512,
}


class 			_a				(     UpperCamelCase__     ):
							_lowercase      :     Optional[int]     =					VOCAB_FILES_NAMES
							_lowercase      :     Optional[int]     =					PRETRAINED_VOCAB_FILES_MAP
							_lowercase      :     List[Any]     =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
							_lowercase      :     Optional[int]     =					PegasusTokenizer
							_lowercase      :     Tuple     =					['''input_ids''', '''attention_mask''']

							def __init__(				self:      List[str]       ,		UpperCamelCase_:      int=None       ,		UpperCamelCase_:      Dict=None       ,		UpperCamelCase_:      Tuple="<pad>"       ,		UpperCamelCase_:      Dict="</s>"       ,		UpperCamelCase_:      Tuple="<unk>"       ,		UpperCamelCase_:      Optional[int]="<mask_2>"       ,		UpperCamelCase_:      Dict="<mask_1>"       ,		UpperCamelCase_:      Any=None       ,		UpperCamelCase_:      int=103       ,		**UpperCamelCase_:      List[str]       ,		)     ->  Optional[int]:





									"""simple docstring"""







									lowercase__				= offset

									if additional_special_tokens is not None:
											if not isinstance(UpperCamelCase_       ,		UpperCamelCase_				):
													raise TypeError(
													    f'additional_special_tokens should be of type {type(UpperCamelCase_				)}, but is'
													    f' {type(UpperCamelCase_				)}'				)

											lowercase__				= (
											    ([mask_token_sent] + additional_special_tokens)
											    if mask_token_sent not in additional_special_tokens and mask_token_sent is not None
											    else additional_special_tokens
											)
											# fill additional tokens with ..., <unk_token_102> in case not all additional tokens are already taken
											additional_special_tokens_extended += [
											    f'<unk_{i}>' for i in range(len(UpperCamelCase_				)       ,		self.offset - 1				)
											]

											if len(set(UpperCamelCase_				)				) != len(UpperCamelCase_				):
													raise ValueError(
													    '''Please make sure that the provided additional_special_tokens do not contain an incorrectly'''
													    f' shifted list of <unk_x> tokens. Found {additional_special_tokens_extended}.'				)
											lowercase__				= additional_special_tokens_extended
									else:
											lowercase__				= [mask_token_sent] if mask_token_sent is not None else []
											additional_special_tokens += [f'<unk_{i}>' for i in range(2       ,		self.offset				)]

									super().__init__(
									    UpperCamelCase_       ,		tokenizer_file=UpperCamelCase_       ,		pad_token=UpperCamelCase_       ,		eos_token=UpperCamelCase_       ,		unk_token=UpperCamelCase_       ,		mask_token=UpperCamelCase_       ,		mask_token_sent=UpperCamelCase_       ,		offset=UpperCamelCase_       ,		additional_special_tokens=UpperCamelCase_       ,		**UpperCamelCase_       ,		)
									lowercase__				= vocab_file
									lowercase__				= False if not self.vocab_file else True

							def  lowerCamelCase_					(				self:      List[Any]       ,		UpperCamelCase_:      Any				)     ->  Dict:





									"""simple docstring"""







									lowercase__				= set(self.all_special_ids				)  # call it once instead of inside list comp
									all_special_ids.remove(self.unk_token_id				)  # <unk> is only sometimes special

									if all_special_ids != set(range(len(self.additional_special_tokens				) + 3				)				):
											raise ValueError(
											    '''There should be 3 special tokens: mask_token, pad_token, and eos_token +'''
											    f' {len(self.additional_special_tokens				)} additional_special_tokens, but got {all_special_ids}'				)

									return [1 if x in all_special_ids else 0 for x in seq]

							def  lowerCamelCase_					(				self:      Any       ,		UpperCamelCase_:      List       ,		UpperCamelCase_:      Optional[List] = None       ,		UpperCamelCase_:      bool = False				)     ->  List[int]:





									"""simple docstring"""







									if already_has_special_tokens:
											return self._special_token_mask(UpperCamelCase_				)
									elif token_ids_a is None:
											return self._special_token_mask(UpperCamelCase_				) + [1]
									else:
											return self._special_token_mask(token_ids_a + token_ids_a				) + [1]

							def  lowerCamelCase_					(				self:      List[str]       ,		UpperCamelCase_:      Union[str, Any]       ,		UpperCamelCase_:      str=None				)     ->  List[int]:





									"""simple docstring"""







									if token_ids_a is None:
											return token_ids_a + [self.eos_token_id]
									# We don't expect to process pairs, but leave the pair logic for API consistency
									return token_ids_a + token_ids_a + [self.eos_token_id]


							def  lowerCamelCase_					(				self:      Optional[Any]       ,		UpperCamelCase_:      str       ,		UpperCamelCase_:      Optional[str] = None				)     ->  Tuple[str]:





									"""simple docstring"""







									if not self.can_save_slow_tokenizer:
											raise ValueError(
											    '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
											    '''tokenizer.'''				)

									if not os.path.isdir(UpperCamelCase_				):
											logger.error(f'Vocabulary path ({save_directory}) should be a directory'				)
											return
									lowercase__				= os.path.join(
									    UpperCamelCase_       ,		(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']				)

									if os.path.abspath(self.vocab_file				) != os.path.abspath(UpperCamelCase_				):
											copyfile(self.vocab_file       ,		UpperCamelCase_				)

									return (out_vocab_file,)






'''simple docstring'''





import warnings
from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__lowerCamelCase												=						logging.get_logger(__name__)

__lowerCamelCase												=						{
    '''nvidia/segformer-b0-finetuned-ade-512-512''': (
        '''https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json'''
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					"segformer"


 def __init__(      self							:	Dict			,       __lowerCamelCase							:	Dict=3			,       __lowerCamelCase							:	List[str]=4			,       __lowerCamelCase							:	List[Any]=[2, 2, 2, 2]			,       __lowerCamelCase							:	List[str]=[8, 4, 2, 1]			,       __lowerCamelCase							:	Optional[Any]=[3_2, 6_4, 1_6_0, 2_5_6]			,       __lowerCamelCase							:	Tuple=[7, 3, 3, 3]			,       __lowerCamelCase							:	Tuple=[4, 2, 2, 2]			,       __lowerCamelCase							:	Any=[1, 2, 5, 8]			,       __lowerCamelCase							:	Optional[Any]=[4, 4, 4, 4]			,       __lowerCamelCase							:	Union[str, Any]="gelu"			,       __lowerCamelCase							:	Dict=0.0			,       __lowerCamelCase							:	Union[str, Any]=0.0			,       __lowerCamelCase							:	Tuple=0.1			,       __lowerCamelCase							:	Optional[Any]=0.02			,       __lowerCamelCase							:	Optional[int]=0.1			,       __lowerCamelCase							:	str=1e-6			,       __lowerCamelCase							:	List[Any]=2_5_6			,       __lowerCamelCase							:	int=2_5_5			,       **__lowerCamelCase							:	str			,       ):
    super().__init__(**__lowerCamelCase )

    if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
       warnings.warn(
           '''Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be'''
           ''' removed, as the behaviour will default to that of reshape_last_stage = True.'''			,       __lowerCamelCase			,       )

    UpperCAmelCase__	:Dict      =      num_channels
    UpperCAmelCase__	:List[Any]      =      num_encoder_blocks
    UpperCAmelCase__	:List[str]      =      depths
    UpperCAmelCase__	:str      =      sr_ratios
    UpperCAmelCase__	:Optional[Any]      =      hidden_sizes
    UpperCAmelCase__	:List[str]      =      patch_sizes
    UpperCAmelCase__	:List[str]      =      strides
    UpperCAmelCase__	:List[str]      =      mlp_ratios
    UpperCAmelCase__	:Dict      =      num_attention_heads
    UpperCAmelCase__	:Tuple      =      hidden_act
    UpperCAmelCase__	:List[str]      =      hidden_dropout_prob
    UpperCAmelCase__	:List[Any]      =      attention_probs_dropout_prob
    UpperCAmelCase__	:int      =      classifier_dropout_prob
    UpperCAmelCase__	:str      =      initializer_range
    UpperCAmelCase__	:List[str]      =      drop_path_rate
    UpperCAmelCase__	:Dict      =      layer_norm_eps
    UpperCAmelCase__	:List[str]      =      decoder_hidden_size
    UpperCAmelCase__	:Optional[int]      =      kwargs.get('''reshape_last_stage'''			,       __lowerCamelCase )
    UpperCAmelCase__	:str      =      semantic_loss_ignore_index




class 				UpperCAmelCase			(			_snake_case						):
 UpperCAmelCase				=					version.parse("1.11"						)


 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[Any] ):
    return OrderedDict(
        [
            ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
        ] )


 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	Optional[int] ):
    return 1e-4





 @property
 def        __SCREAMING_SNAKE_CASE					(      self							:	List[str] ):
    return 1_2



