






"""simple docstring"""



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


A__	:    List[Any]			 = logging.get_logger(__name__)

A__	:    List[Any]			 = {
    '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        lowercase__      (							__SCREAMING_SNAKE_CASE       ):
			_UpperCAmelCase		:Any             =			"poolformer"


			def __init__(				self					:  Union[str, Any]       ,	snake_case__					:  int=3       ,	snake_case__					:  Dict=16       ,	snake_case__					:  List[str]=16       ,	snake_case__					:  Tuple=3       ,	snake_case__					:  Optional[Any]=4.0       ,	snake_case__					:  int=[2, 2, 6, 2]       ,	snake_case__					:  Union[str, Any]=[64, 128, 320, 512]       ,	snake_case__					:  Union[str, Any]=[7, 3, 3, 3]       ,	snake_case__					:  Tuple=[4, 2, 2, 2]       ,	snake_case__					:  Dict=[2, 1, 1, 1]       ,	snake_case__					:  List[str]=4       ,	snake_case__					:  int=0.0       ,	snake_case__					:  Any="gelu"       ,	snake_case__					:  Tuple=True       ,	snake_case__					:  Dict=1E-5       ,	snake_case__					:  Dict=0.02       ,	**snake_case__					:  Union[str, Any]       ,	):
										lowerCamelCase_	:							Union[str, Any]									=num_channels
										lowerCamelCase_	:							List[str]									=patch_size
										lowerCamelCase_	:							List[str]									=stride
										lowerCamelCase_	:							Dict									=padding
										lowerCamelCase_	:							Tuple									=pool_size
										lowerCamelCase_	:							Optional[Any]									=hidden_sizes
										lowerCamelCase_	:							List[Any]									=mlp_ratio
										lowerCamelCase_	:							List[str]									=depths
										lowerCamelCase_	:							Union[str, Any]									=patch_sizes
										lowerCamelCase_	:							Dict									=strides
										lowerCamelCase_	:							Dict									=num_encoder_blocks
										lowerCamelCase_	:							Any									=drop_path_rate
										lowerCamelCase_	:							str									=hidden_act
										lowerCamelCase_	:							Optional[Any]									=use_layer_scale
										lowerCamelCase_	:							Tuple									=layer_scale_init_value
										lowerCamelCase_	:							Union[str, Any]									=initializer_range
										super().__init__(**__UpperCAmelCase )







class        lowercase__      (							__SCREAMING_SNAKE_CASE       ):
			_UpperCAmelCase		:List[str]             =			version.parse("1.11"       )


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


			@property
			def      UpperCAmelCase__						(				self					:  int ):
										return 2E-3











"""simple docstring"""



from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


A__	:    Dict			 = logging.get_logger(__name__)

A__	:    Dict			 = {
    'vocab_file': 'vocab.json',
    'merges_file': 'merges.txt',
    'tokenizer_config_file': 'tokenizer_config.json',
}

A__	:    List[Any]			 = {
    'vocab_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json'
    },
    'merges_file': {
        'facebook/blenderbot_small-90M': 'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt'
    },
    'tokenizer_config_file': {
        'facebook/blenderbot_small-90M': (
            'https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json'
        )
    },
}

A__	:    Optional[int]			 = {
    'facebook/blenderbot_small-90M': 512,
}







class        lowercase__      (							snake_case__       ):
			_UpperCAmelCase		:Optional[int]             =			VOCAB_FILES_NAMES
			_UpperCAmelCase		:Tuple             =			PRETRAINED_VOCAB_FILES_MAP
			_UpperCAmelCase		:Any             =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_UpperCAmelCase		:Tuple             =			BlenderbotSmallTokenizer


			def __init__(				self					:  Tuple       ,	snake_case__					:  Optional[Any]=None       ,	snake_case__					:  str=None       ,	snake_case__					:  Any="<|endoftext|>"       ,	snake_case__					:  Tuple="<|endoftext|>"       ,	snake_case__					:  Tuple="<|endoftext|>"       ,	snake_case__					:  str=False       ,	snake_case__					:  int=True       ,	**snake_case__					:  Tuple       ,	):
										super().__init__(
										    ByteLevelBPETokenizer(
										        vocab=snake_case__       ,	merges=snake_case__       ,	add_prefix_space=snake_case__       ,	trim_offsets=snake_case__       ,	)       ,	bos_token=snake_case__       ,	eos_token=snake_case__       ,	unk_token=snake_case__       ,	**snake_case__       ,	)
										lowerCamelCase_	:							Optional[int]									=add_prefix_space


			def      UpperCAmelCase__						(				self					:  Tuple       ,	snake_case__					:  Optional[Any]       ,	snake_case__					:  List[str]=None ):
										lowerCamelCase_	:							Optional[Any]									=[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      UpperCAmelCase__						(				self					:  Tuple       ,	snake_case__					:  List[int]       ,	snake_case__					:  Optional[List[int]] = None ):
										lowerCamelCase_	:							int									=[self.sep_token_id]
										lowerCamelCase_	:							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]



