


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       		=    {
    """sail/poolformer_s12""": """https://huggingface.co/sail/poolformer_s12/resolve/main/config.json""",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}




class 							lowerCamelCase   (  _UpperCamelCase ):
	_lowerCAmelCase     :		int										=						'''poolformer'''


	def __init__(    self				,     lowercase__=3				,     lowercase__=1_6				,     lowercase__=1_6				,     lowercase__=3				,     lowercase__=4.0				,     lowercase__=[2, 2, 6, 2]				,     lowercase__=[6_4, 1_2_8, 3_2_0, 5_1_2]				,     lowercase__=[7, 3, 3, 3]				,     lowercase__=[4, 2, 2, 2]				,     lowercase__=[2, 1, 1, 1]				,     lowercase__=4				,     lowercase__=0.0				,     lowercase__="gelu"				,     lowercase__=True				,     lowercase__=1e-5				,     lowercase__=0.0_2				,     **lowercase__				,     ):
							__UpperCAmelCase			:							Optional[int]	    =	num_channels
							__UpperCAmelCase			:							int	    =	patch_size
							__UpperCAmelCase			:							Optional[int]	    =	stride
							__UpperCAmelCase			:							Optional[Any]	    =	padding
							__UpperCAmelCase			:							int	    =	pool_size
							__UpperCAmelCase			:							Dict	    =	hidden_sizes
							__UpperCAmelCase			:							Optional[int]	    =	mlp_ratio
							__UpperCAmelCase			:							int	    =	depths
							__UpperCAmelCase			:							Dict	    =	patch_sizes
							__UpperCAmelCase			:							Optional[Any]	    =	strides
							__UpperCAmelCase			:							Optional[Any]	    =	num_encoder_blocks
							__UpperCAmelCase			:							Union[str, Any]	    =	drop_path_rate
							__UpperCAmelCase			:							List[Any]	    =	hidden_act
							__UpperCAmelCase			:							Any	    =	use_layer_scale
							__UpperCAmelCase			:							List[str]	    =	layer_scale_init_value
							__UpperCAmelCase			:							Optional[Any]	    =	initializer_range
							super().__init__(**lowercase__)






class 							lowerCamelCase   (  _UpperCamelCase ):
	_lowerCAmelCase     :		List[Any]										=						version.parse('''1.11''' )


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


	@property
	def  A(    self):
							return 2e-3





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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


lowerCAmelCase       		=    logging.get_logger(__name__)


lowerCAmelCase       		=    {"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt"""}

# See all LED models at https://huggingface.co/models?filter=LED
lowerCAmelCase       		=    {
    """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       		=    {
    """allenai/led-base-16384""": 16_384,
}




@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def     __SCREAMING_SNAKE_CASE							(       )		->     Dict:




						'''simple docstring'''







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




def     __SCREAMING_SNAKE_CASE							(       lowercase_      )		->     Optional[Any]:




						'''simple docstring'''







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





class 							lowerCamelCase   (  _UpperCamelCase ):
	_lowerCAmelCase     :		List[Any]										=						VOCAB_FILES_NAMES
	_lowerCAmelCase     :		int										=						PRETRAINED_VOCAB_FILES_MAP
	_lowerCAmelCase     :		Union[str, Any]										=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_lowerCAmelCase     :		int										=						['''input_ids''', '''attention_mask''']


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

							# Mask token behave like a normal word, i.e. include the space before it
							__UpperCAmelCase			:							Optional[Any]	    =	AddedToken(lowercase__				,     lstrip=lowercase__				,     rstrip=lowercase__) if isinstance(lowercase__				,     lowercase__) else mask_token

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

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

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


	@property
	# Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
	def  A(    self):
							return len(self.encoder)


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


	def  A(    self				,     lowercase__):
							if token in self.cache:
													return self.cache[token]
							__UpperCAmelCase			:							int	    =	tuple(lowercase__)
							__UpperCAmelCase			:							int	    =	get_pairs(lowercase__)

							if not pairs:
													return token

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

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


	def  A(    self				,     lowercase__):
							__UpperCAmelCase			:							str	    =	[]
							for token in re.findall(self.pat				,     lowercase__):
													__UpperCAmelCase			:							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(lowercase__).split(''' '''))
							return bpe_tokens


	def  A(    self				,     lowercase__):
							return self.encoder.get(lowercase__				,     self.encoder.get(self.unk_token))


	def  A(    self				,     lowercase__):
							return self.decoder.get(lowercase__)


	def  A(    self				,     lowercase__):
							__UpperCAmelCase			:							str	    =	''''''.join(lowercase__)
							__UpperCAmelCase			:							Optional[int]	    =	bytearray([self.byte_decoder[c] for c in text]).decode('''utf-8'''				,     errors=self.errors)
							return text


	def  A(    self				,     lowercase__				,     lowercase__ = None):
							if not os.path.isdir(lowercase__):
													logger.error(F"Vocabulary path ({save_directory}) should be a directory")
													return
							__UpperCAmelCase			:							List[Any]	    =	os.path.join(
							    lowercase__				,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file'''])
							__UpperCAmelCase			:							Optional[Any]	    =	os.path.join(
							    lowercase__				,     (filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''merges_file'''])

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

							__UpperCAmelCase			:							Tuple	    =	0
							with open(lowercase__				,     '''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 lowercase__: 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!''')
																									__UpperCAmelCase			:							Optional[int]	    =	token_index
																			writer.write(''' '''.join(lowercase__) + '''\n''')
																			index += 1

							return vocab_file, merge_file


	def  A(    self				,     lowercase__				,     lowercase__ = None):
							if token_ids_a is None:
													return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
							__UpperCAmelCase			:							Optional[Any]	    =	[self.cls_token_id]
							__UpperCAmelCase			:							Union[str, Any]	    =	[self.sep_token_id]
							return cls + token_ids_a + sep + sep + token_ids_a + sep


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

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


	def  A(    self				,     lowercase__				,     lowercase__ = None):
							__UpperCAmelCase			:							List[Any]	    =	[self.sep_token_id]
							__UpperCAmelCase			:							List[Any]	    =	[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  A(    self				,     lowercase__				,     lowercase__=False				,     **lowercase__):
							__UpperCAmelCase			:							List[Any]	    =	kwargs.pop('''add_prefix_space'''				,     self.add_prefix_space)
							if (is_split_into_words or add_prefix_space) and (len(lowercase__) > 0 and not text[0].isspace()):
													__UpperCAmelCase			:							List[Any]	    =	''' ''' + text
							return (text, kwargs)


	def  A(    self				,     lowercase__				,     lowercase__ = None				,     lowercase__ = PaddingStrategy.DO_NOT_PAD				,     lowercase__ = None				,     lowercase__ = None				,     ):
							__UpperCAmelCase			:							Optional[Any]	    =	super()._pad(
							    encoded_inputs=lowercase__				,     max_length=lowercase__				,     padding_strategy=lowercase__				,     pad_to_multiple_of=lowercase__				,     return_attention_mask=lowercase__				,     )

							# Load from model defaults
							if return_attention_mask is None:
													__UpperCAmelCase			:							Optional[Any]	    =	'''attention_mask''' in self.model_input_names

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

													if needs_to_be_padded:
																			__UpperCAmelCase			:							Dict	    =	len(lowercase__) - 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`
																									__UpperCAmelCase			:							Optional[Any]	    =	(
																									    encoded_inputs['''global_attention_mask'''] + [-1] * difference
																									)
																			elif self.padding_side == "left":
																									__UpperCAmelCase			:							int	    =	[-1] * difference + encoded_inputs[
																									    '''global_attention_mask'''
																									]
																			else:
																									raise ValueError('''Invalid padding strategy:''' + str(self.padding_side))

							return encoded_inputs

