"""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


__lowerCamelCase							 =     logging.get_logger(__name__)

__lowerCamelCase							 =     {"tokenizer_file": "tokenizer.json"}

__lowerCamelCase							 =     {
    "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__(	__snake_case       ):
						lowerCAmelCase__     :  Optional[Any]  							=						VOCAB_FILES_NAMES
						lowerCAmelCase__     :  Optional[int]  							=						PRETRAINED_VOCAB_FILES_MAP
						lowerCAmelCase__     :  Dict  							=						["""input_ids""", """attention_mask"""]
						lowerCAmelCase__     :  Dict  							=						None





						def __init__(				self						,__UpperCAmelCase=None						,__UpperCAmelCase=None						,__UpperCAmelCase=None						,__UpperCAmelCase="<unk>"						,__UpperCAmelCase="<s>"						,__UpperCAmelCase="</s>"						,__UpperCAmelCase="<pad>"						,__UpperCAmelCase=False						,__UpperCAmelCase=False						,**__UpperCAmelCase						,)    -> Any:
													super().__init__(
													    __UpperCAmelCase						,__UpperCAmelCase						,tokenizer_file=__UpperCAmelCase						,unk_token=__UpperCAmelCase						,bos_token=__UpperCAmelCase						,eos_token=__UpperCAmelCase						,pad_token=__UpperCAmelCase						,add_prefix_space=__UpperCAmelCase						,clean_up_tokenization_spaces=__UpperCAmelCase						,**__UpperCAmelCase						,)
													A__		   =							json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()   )
													if pre_tok_state.get('add_prefix_space'						,__UpperCAmelCase   ) != add_prefix_space:
																				A__		   =							getattr(__UpperCAmelCase						,pre_tok_state.pop('type'   )   )
																				A__		   =							add_prefix_space
																				A__		   =							pre_tok_class(**__UpperCAmelCase   )

													A__		   =							add_prefix_space





						def  snake_case__		(				self						,*__UpperCAmelCase						,**__UpperCAmelCase   )    -> List[str]:
													A__		   =							kwargs.get('is_split_into_words'						,__UpperCAmelCase   )
													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(*__UpperCAmelCase						,**__UpperCAmelCase   )





						def  snake_case__		(				self						,*__UpperCAmelCase						,**__UpperCAmelCase   )    -> Tuple:
													A__		   =							kwargs.get('is_split_into_words'						,__UpperCAmelCase   )

													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(*__UpperCAmelCase						,**__UpperCAmelCase   )





						def  snake_case__		(				self						,__UpperCAmelCase						,__UpperCAmelCase = None   )    -> Optional[int]:
													A__		   =							self._tokenizer.model.save(__UpperCAmelCase						,name=__UpperCAmelCase   )
													return tuple(__UpperCAmelCase   )





						def  snake_case__		(				self						,__UpperCAmelCase   )    -> List[str]:
													A__		   =							[]
													for is_user, text in conversation.iter_texts():
																				input_ids.extend(self.encode(__UpperCAmelCase						,add_special_tokens=__UpperCAmelCase   ) + [self.eos_token_id]   )

													if len(__UpperCAmelCase   ) > self.model_max_length:
																				A__		   =							input_ids[-self.model_max_length :]
													return input_ids








# flake8: noqa
# Lint as: python3

from typing import Dict, List, Optional, Type

from .. import config
from ..utils import logging
from .formatting import (
    ArrowFormatter,
    CustomFormatter,
    Formatter,
    PandasFormatter,
    PythonFormatter,
    TensorFormatter,
    format_table,
    query_table,
)
from .np_formatter import NumpyFormatter


snake_case_			  = logging.get_logger(__name__)

snake_case_			  = {}
snake_case_			  = {}
snake_case_			  = {}

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    type	,     SCREAMING_SNAKE_CASE_		:    Optional[str]	,     SCREAMING_SNAKE_CASE_		:    Optional[List[str]] = None	,     ):



     '''simple docstring'''





     lowercase__    :   Union[str, Any]      =       aliases if aliases is not None else []
     if format_type in _FORMAT_TYPES:
          logger.warning(
              f"""Overwriting format type '{format_type}' ({_FORMAT_TYPES[format_type].__name__} -> {formatter_cls.__name__})"""			)
     lowercase__    :   Any      =       formatter_cls
     for alias in set(aliases + [format_type]			):
          if alias in _FORMAT_TYPES_ALIASES:
               logger.warning(
                   f"""Overwriting format type alias '{alias}' ({_FORMAT_TYPES_ALIASES[alias]} -> {format_type})"""			)
          lowercase__    :   int      =       format_type

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Exception	,     SCREAMING_SNAKE_CASE_		:    Optional[str]	,     SCREAMING_SNAKE_CASE_		:    Optional[List[str]] = None			):



     '''simple docstring'''





     lowercase__    :   Optional[Any]      =       aliases if aliases is not None else []
     for alias in set(aliases + [format_type]			):
          lowercase__    :   Any      =       unavailable_error


# Here we define all the available formatting functions that can be used by `Dataset.set_format`
_register_formatter(PythonFormatter, None, aliases=['''python'''])
_register_formatter(ArrowFormatter, '''arrow''', aliases=['''pa''', '''pyarrow'''])
_register_formatter(NumpyFormatter, '''numpy''', aliases=['''np'''])
_register_formatter(PandasFormatter, '''pandas''', aliases=['''pd'''])
_register_formatter(CustomFormatter, '''custom''')

if config.TORCH_AVAILABLE:
       from .torch_formatter import TorchFormatter

       _register_formatter(TorchFormatter, '''torch''', aliases=['''pt''', '''pytorch'''])
else:
       snake_case_			  = ValueError('''PyTorch needs to be installed to be able to return PyTorch tensors.''')
       _register_unavailable_formatter(_torch_error, '''torch''', aliases=['''pt''', '''pytorch'''])

if config.TF_AVAILABLE:
       from .tf_formatter import TFFormatter

       _register_formatter(TFFormatter, '''tensorflow''', aliases=['''tf'''])
else:
       snake_case_			  = ValueError('''Tensorflow needs to be installed to be able to return Tensorflow tensors.''')
       _register_unavailable_formatter(_tf_error, '''tensorflow''', aliases=['''tf'''])

if config.JAX_AVAILABLE:
       from .jax_formatter import JaxFormatter

       _register_formatter(JaxFormatter, '''jax''', aliases=[])
else:
       snake_case_			  = ValueError('''JAX needs to be installed to be able to return JAX arrays.''')
       _register_unavailable_formatter(_jax_error, '''jax''', aliases=[])

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Optional[str]			):



     '''simple docstring'''





     if format_type in _FORMAT_TYPES_ALIASES:
          return _FORMAT_TYPES_ALIASES[format_type]
     else:
          return format_type

def 	snake_case__			(    SCREAMING_SNAKE_CASE_		:    Optional[str]	,     **SCREAMING_SNAKE_CASE_		:    Any			):



     '''simple docstring'''





     lowercase__    :   Tuple      =       get_format_type_from_alias(SCREAMING_SNAKE_CASE_			)
     if format_type in _FORMAT_TYPES:
          return _FORMAT_TYPES[format_type](**SCREAMING_SNAKE_CASE_			)
     if format_type in _FORMAT_TYPES_ALIASES_UNAVAILABLE:
          raise _FORMAT_TYPES_ALIASES_UNAVAILABLE[format_type]
     else:
          raise ValueError(
              f"""Return type should be None or selected in {list(type for type in _FORMAT_TYPES.keys() if type != None			)}, but got '{format_type}'"""			)

