
"""simple docstring"""



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

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
    from transformers.pipelines.conversational import Conversation


UpperCamelCase__          =	logging.get_logger(__name__)

UpperCamelCase__          =	{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

UpperCamelCase__          =	{
    'tokenizer_file': {
        'EleutherAI/gpt-neox-20b': 'https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json',
    },
}

UpperCamelCase__          =	{
    'gpt-neox-20b': 20_48,
}





class 				a			(					lowercase      ):
      UpperCamelCase							:   Any           =     VOCAB_FILES_NAMES
      UpperCamelCase							:   Dict           =     PRETRAINED_VOCAB_FILES_MAP
      UpperCamelCase							:   Tuple           =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      UpperCamelCase							:   List[Any]           =     ["""input_ids""", """attention_mask"""]



      def __init__(   self     ,	UpperCamelCase_=None     ,	UpperCamelCase_=None     ,	UpperCamelCase_=None     ,	UpperCamelCase_="<|endoftext|>"     ,	UpperCamelCase_="<|endoftext|>"     ,	UpperCamelCase_="<|endoftext|>"     ,	UpperCamelCase_=False     ,	**UpperCamelCase_     ,	):
          super().__init__(
              UpperCamelCase_     ,	UpperCamelCase_     ,	tokenizer_file=UpperCamelCase_     ,	unk_token=UpperCamelCase_     ,	bos_token=UpperCamelCase_     ,	eos_token=UpperCamelCase_     ,	add_prefix_space=UpperCamelCase_     ,	**UpperCamelCase_     ,	)

          UpperCAmelCase__	:      Union[str, Any]     							=					json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
          if pre_tok_state.get('add_prefix_space'     ,	UpperCamelCase_      ) != add_prefix_space:
              UpperCAmelCase__	:      str     							=					getattr(UpperCamelCase_     ,	pre_tok_state.pop('type'      )      )
              UpperCAmelCase__	:      Union[str, Any]     							=					add_prefix_space
              UpperCAmelCase__	:      List[Any]     							=					pre_tok_class(**UpperCamelCase_      )

          UpperCAmelCase__	:      Optional[int]     							=					add_prefix_space



      def  __snake_case							(   self     ,	UpperCamelCase_     ,	UpperCamelCase_ = None      ):
          UpperCAmelCase__	:      List[str]     							=					self._tokenizer.model.save(UpperCamelCase_     ,	name=UpperCamelCase_      )
          return tuple(UpperCamelCase_      )



      def  __snake_case							(   self     ,	UpperCamelCase_      ):
          UpperCAmelCase__	:      Tuple     							=					[]
          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:
              UpperCAmelCase__	:      str     							=					input_ids[-self.model_max_length :]
          return input_ids







'''simple docstring'''



def       _UpperCamelCase			(_lowerCamelCase				:  int						)-> int:




     '''simple docstring'''





     __snake_case            =	[[0 for _ in range(_lowerCamelCase						)] for _ in range(m + 1						)]
     for i in range(m + 1						):
          __snake_case            =	1

     for n in range(m + 1						):
          for k in range(1 ,						_lowerCamelCase						):
               memo[n][k] += memo[n][k - 1]
               if n - k > 0:
                    memo[n][k] += memo[n - k - 1][k]

     return memo[m][m - 1]


if __name__ == "__main__":
     import sys

     if len(sys.argv) == 1:
          try:
               UpperCAmelCase_							:	List[str]	     =		int(input('''Enter a number: ''').strip())
               print(partition(n))
          except ValueError:
               print('''Please enter a number.''')
     else:
          try:
               UpperCAmelCase_							:	Union[str, Any]	     =		int(sys.argv[1])
               print(partition(n))
          except ValueError:
               print('''Please pass a number.''')






