'''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:			Tuple	       =       logging.get_logger(__name__)

__a:			Any	       =       {
    """microsoft/beit-base-patch16-224-pt22k""": (
        """https://huggingface.co/microsoft/beit-base-patch16-224-pt22k/resolve/main/config.json"""
    ),
    # See all BEiT models at https://huggingface.co/models?filter=beit
}



class       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   "beit"

       def __init__(						self     ,       __lowerCAmelCase=8192     ,       __lowerCAmelCase=768     ,       __lowerCAmelCase=12     ,       __lowerCAmelCase=12     ,       __lowerCAmelCase=3072     ,       __lowerCAmelCase="gelu"     ,       __lowerCAmelCase=0.0     ,       __lowerCAmelCase=0.0     ,       __lowerCAmelCase=0.0_2     ,       __lowerCAmelCase=1E-12     ,       __lowerCAmelCase=224     ,       __lowerCAmelCase=16     ,       __lowerCAmelCase=3     ,       __lowerCAmelCase=False     ,       __lowerCAmelCase=False     ,       __lowerCAmelCase=False     ,       __lowerCAmelCase=False     ,       __lowerCAmelCase=0.1     ,       __lowerCAmelCase=0.1     ,       __lowerCAmelCase=True     ,       __lowerCAmelCase=[3, 5, 7, 11]     ,       __lowerCAmelCase=[1, 2, 3, 6]     ,       __lowerCAmelCase=True     ,       __lowerCAmelCase=0.4     ,       __lowerCAmelCase=256     ,       __lowerCAmelCase=1     ,       __lowerCAmelCase=False     ,       __lowerCAmelCase=255     ,       **__lowerCAmelCase     ,       )  ->  Union[str, Any]:
              super().__init__(**__lowerCAmelCase			)

              lowercase__    :   Tuple						= vocab_size
              lowercase__    :   int						= hidden_size
              lowercase__    :   List[str]						= num_hidden_layers
              lowercase__    :   Any						= num_attention_heads
              lowercase__    :   str						= intermediate_size
              lowercase__    :   int						= hidden_act
              lowercase__    :   Dict						= hidden_dropout_prob
              lowercase__    :   str						= attention_probs_dropout_prob
              lowercase__    :   Optional[Any]						= initializer_range
              lowercase__    :   Optional[int]						= layer_norm_eps

              lowercase__    :   List[str]						= image_size
              lowercase__    :   Any						= patch_size
              lowercase__    :   str						= num_channels
              lowercase__    :   int						= use_mask_token
              lowercase__    :   Union[str, Any]						= use_absolute_position_embeddings
              lowercase__    :   Dict						= use_relative_position_bias
              lowercase__    :   List[str]						= use_shared_relative_position_bias
              lowercase__    :   List[str]						= layer_scale_init_value
              lowercase__    :   Tuple						= drop_path_rate
              lowercase__    :   List[str]						= use_mean_pooling
              # decode head attributes (semantic segmentation)
              lowercase__    :   str						= out_indices
              lowercase__    :   Optional[int]						= pool_scales
              # auxiliary head attributes (semantic segmentation)
              lowercase__    :   Optional[int]						= use_auxiliary_head
              lowercase__    :   Tuple						= auxiliary_loss_weight
              lowercase__    :   str						= auxiliary_channels
              lowercase__    :   int						= auxiliary_num_convs
              lowercase__    :   str						= auxiliary_concat_input
              lowercase__    :   Any						= semantic_loss_ignore_index



class       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   version.parse("1.11" )

       @property
       def _lowerCAmelCase(						self			)  ->  Mapping[str, Mapping[int, str]]:
              return OrderedDict(
                  [
                      ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
                  ]			)


       @property
       def _lowerCAmelCase(						self			)  ->  float:
              return 1E-4


'''simple docstring'''

import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
  from transformers.pipelines.conversational import Conversation


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

__a:			Tuple	       =       {"""tokenizer_file""": """tokenizer.json"""}

__a:			Union[str, Any]	       =       {
    """tokenizer_file""": {
        """bigscience/tokenizer""": """https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json""",
        """bigscience/bloom-560m""": """https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json""",
        """bigscience/bloom-1b1""": """https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json""",
        """bigscience/bloom-1b7""": """https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json""",
        """bigscience/bloom-3b""": """https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json""",
        """bigscience/bloom-7b1""": """https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json""",
        """bigscience/bloom""": """https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json""",
    },
}



class       UpperCAmelCase  (						a__ ):





       '''simple docstring'''



       SCREAMING_SNAKE_CASE 		=   VOCAB_FILES_NAMES
       SCREAMING_SNAKE_CASE 		=   PRETRAINED_VOCAB_FILES_MAP
       SCREAMING_SNAKE_CASE 		=   ["input_ids", "attention_mask"]
       SCREAMING_SNAKE_CASE 		=   None

       def __init__(						self     ,       __lowerCAmelCase=None     ,       __lowerCAmelCase=None     ,       __lowerCAmelCase=None     ,       __lowerCAmelCase="<unk>"     ,       __lowerCAmelCase="<s>"     ,       __lowerCAmelCase="</s>"     ,       __lowerCAmelCase="<pad>"     ,       __lowerCAmelCase=False     ,       __lowerCAmelCase=False     ,       **__lowerCAmelCase     ,       )  ->  Union[str, Any]:
        super().__init__(
            __lowerCAmelCase     ,       __lowerCAmelCase     ,       tokenizer_file=__lowerCAmelCase     ,       unk_token=__lowerCAmelCase     ,       bos_token=__lowerCAmelCase     ,       eos_token=__lowerCAmelCase     ,       pad_token=__lowerCAmelCase     ,       add_prefix_space=__lowerCAmelCase     ,       clean_up_tokenization_spaces=__lowerCAmelCase     ,       **__lowerCAmelCase     ,       )
        lowercase__    :   int						= json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
        if pre_tok_state.get('''add_prefix_space'''     ,       __lowerCAmelCase			) != add_prefix_space:
         lowercase__    :   int						= getattr(__lowerCAmelCase     ,       pre_tok_state.pop('''type'''			)			)
         lowercase__    :   Tuple						= add_prefix_space
         lowercase__    :   List[str]						= pre_tok_class(**__lowerCAmelCase			)

        lowercase__    :   Union[str, Any]						= add_prefix_space

       def _lowerCAmelCase(						self     ,       *__lowerCAmelCase     ,       **__lowerCAmelCase			)  ->  BatchEncoding:
        lowercase__    :   Dict						= kwargs.get('''is_split_into_words'''     ,       __lowerCAmelCase			)
        if not (self.add_prefix_space or not is_split_into_words):
         raise Exception(
             F"""You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with"""
             ''' pretokenized inputs.'''			)

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

       def _lowerCAmelCase(						self     ,       *__lowerCAmelCase     ,       **__lowerCAmelCase			)  ->  BatchEncoding:
        lowercase__    :   str						= kwargs.get('''is_split_into_words'''     ,       __lowerCAmelCase			)

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

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

       def _lowerCAmelCase(						self     ,       __lowerCAmelCase     ,       __lowerCAmelCase = None			)  ->  Tuple[str]:
        lowercase__    :   List[Any]						= self._tokenizer.model.save(__lowerCAmelCase     ,       name=__lowerCAmelCase			)
        return tuple(__lowerCAmelCase			)


       def _lowerCAmelCase(						self     ,       __lowerCAmelCase			)  ->  List[int]:
        lowercase__    :   Dict						= []
        for is_user, text in conversation.iter_texts():
         input_ids.extend(self.encode(__lowerCAmelCase     ,       add_special_tokens=__lowerCAmelCase			) + [self.eos_token_id]			)

        if len(__lowerCAmelCase			) > self.model_max_length:
         lowercase__    :   Optional[Any]						= input_ids[-self.model_max_length :]
        return input_ids

