


from collections.abc import Iterator, MutableMapping
from dataclasses import dataclass
from typing import Generic, TypeVar

__lowerCAmelCase		       =							TypeVar('''KEY''')
__lowerCAmelCase		       =							TypeVar('''VAL''')





@dataclass(frozen=_SCREAMING_SNAKE_CASE       ,       slots=_SCREAMING_SNAKE_CASE      )
class   __a			(    Generic[KEY, VAL]      ):
 __lowercase :							Optional[Any]        = 42
 __lowercase :							Any        = 42





class   __a			(    _Item      ):
 def __init__(   self )					->				None:




        '''simple docstring'''
        super().__init__(lowerCAmelCase__				, lowerCAmelCase__ )
 def __bool__(   self )					->				bool:




        '''simple docstring'''
        return False





__lowerCAmelCase		       =							_DeletedItem()





class   __a			(    MutableMapping[KEY, VAL]      ):
 def __init__(   self				, lowerCAmelCase__ = 8				, lowerCAmelCase__ = 0.7_5 )					->				None:




        '''simple docstring'''
        lowercase__:   Dict  			=   initial_block_size
        lowercase__:   list[_Item | None]  			=   [None] * initial_block_size
        assert 0.0 < capacity_factor < 1.0
        lowercase__:   Optional[Any]  			=   capacity_factor
        lowercase__:   str  			=   0
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				int:




        '''simple docstring'''
        return hash(lowerCAmelCase__ ) % len(self._buckets )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				int:




        '''simple docstring'''
        return (ind + 1) % len(self._buckets )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__				, lowerCAmelCase__ )					->				bool:




        '''simple docstring'''
        lowercase__:   Dict  			=   self._buckets[ind]
        if not stored:
               lowercase__:   List[Any]  			=   _Item(lowerCAmelCase__				, lowerCAmelCase__ )
               self._len += 1
               return True
        elif stored.key == key:
               lowercase__:   List[Any]  			=   _Item(lowerCAmelCase__				, lowerCAmelCase__ )
               return True
        else:
               return False
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				bool:




        '''simple docstring'''
        lowercase__:   List[Any]  			=   len(self._buckets ) * self._capacity_factor
        return len(self ) >= int(lowerCAmelCase__ )
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				bool:




        '''simple docstring'''
        if len(self._buckets ) <= self._initial_block_size:
               return False
        lowercase__:   Tuple  			=   len(self._buckets ) * self._capacity_factor / 2
        return len(self ) < limit
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''
        lowercase__:   Tuple  			=   self._buckets
        lowercase__:   Optional[Any]  			=   [None] * new_size
        lowercase__:   Optional[int]  			=   0
        for item in old_buckets:
               if item:
                      self._add_item(item.key				, item.val )
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				None:




        '''simple docstring'''
        self._resize(len(self._buckets ) * 2 )
 def 		SCREAMING_SNAKE_CASE__   (   self )					->				None:




        '''simple docstring'''
        self._resize(len(self._buckets ) // 2 )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__ )					->				Iterator[int]:




        '''simple docstring'''
        lowercase__:   Dict  			=   self._get_bucket_index(lowerCAmelCase__ )
        for _ in range(len(self._buckets ) ):
               yield ind
               lowercase__:   Optional[int]  			=   self._get_next_ind(lowerCAmelCase__ )
 def 		SCREAMING_SNAKE_CASE__   (   self				, lowerCAmelCase__				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''
        for ind in self._iterate_buckets(lowerCAmelCase__ ):
               if self._try_set(lowerCAmelCase__				, lowerCAmelCase__				, lowerCAmelCase__ ):
                      break
 def __setitem__(   self				, lowerCAmelCase__				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''
        if self._is_full():
               self._size_up()

        self._add_item(lowerCAmelCase__				, lowerCAmelCase__ )
 def __delitem__(   self				, lowerCAmelCase__ )					->				None:




        '''simple docstring'''
        for ind in self._iterate_buckets(lowerCAmelCase__ ):
               lowercase__:   List[str]  			=   self._buckets[ind]
               if item is None:
                      raise KeyError(lowerCAmelCase__ )
               if item is _deleted:
                      continue
               if item.key == key:
                      lowercase__:   int  			=   _deleted
                      self._len -= 1
                      break
        if self._is_sparse():
               self._size_down()
 def __getitem__(   self				, lowerCAmelCase__ )					->				VAL:




        '''simple docstring'''
        for ind in self._iterate_buckets(lowerCAmelCase__ ):
               lowercase__:   Optional[int]  			=   self._buckets[ind]
               if item is None:
                      break
               if item is _deleted:
                      continue
               if item.key == key:
                      return item.val
        raise KeyError(lowerCAmelCase__ )
 def __len__(   self )					->				int:




        '''simple docstring'''
        return self._len
 def __iter__(   self )					->				Iterator[KEY]:




        '''simple docstring'''
        yield from (item.key for item in self._buckets if item)
 def __repr__(   self )					->				str:




        '''simple docstring'''
        lowercase__:   Optional[int]  			=   """ ,""".join(
            F'{item.key}: {item.val}' for item in self._buckets if item )
        return F'HashMap({val_string})'






'''simple docstring'''






import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class    __snake_case       (   _SCREAMING_SNAKE_CASE	,unittest.TestCase):







    """simple docstring"""



    lowercase    =					BioGptTokenizer
    lowercase    =					False

    def __lowercase   (   self    :  List[Any]		)   ->  List[str]:
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      lowerCAmelCase_			:      Optional[Any]			=   [
          """l""",
          """o""",
          """w""",
          """e""",
          """r""",
          """s""",
          """t""",
          """i""",
          """d""",
          """n""",
          """w</w>""",
          """r</w>""",
          """t</w>""",
          """lo""",
          """low""",
          """er</w>""",
          """low</w>""",
          """lowest</w>""",
          """newer</w>""",
          """wider</w>""",
          """<unk>""",
      ]
      lowerCAmelCase_			:      int			=   dict(zip(lowerCamelCase    ,						range(len(lowerCamelCase		)		)		)		)
      lowerCAmelCase_			:      int			=   ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

      lowerCAmelCase_			:      Optional[int]			=   os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["""vocab_file"""]		)
      lowerCAmelCase_			:      Union[str, Any]			=   os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["""merges_file"""]		)
      with open(self.vocab_file    ,						"""w"""		) as fp:
        fp.write(json.dumps(lowerCamelCase		)		)
      with open(self.merges_file    ,						"""w"""		) as fp:
        fp.write("""\n""".join(lowerCamelCase		)		)

    def __lowercase   (   self    :  Union[str, Any]    ,						lowerCamelCase    :  Any		)   ->  List[str]:
      lowerCAmelCase_			:      Dict			=   """lower newer"""
      lowerCAmelCase_			:      str			=   """lower newer"""
      return input_text, output_text

    def __lowercase   (   self    :  Optional[int]		)   ->  str:
      lowerCAmelCase_			:      Any			=   BioGptTokenizer(self.vocab_file    ,						self.merges_file		)

      lowerCAmelCase_			:      int			=   """lower"""
      lowerCAmelCase_			:      str			=   ["""low""", """er</w>"""]
      lowerCAmelCase_			:      Any			=   tokenizer.tokenize(lowerCamelCase		)
      self.assertListEqual(lowerCamelCase    ,						lowerCamelCase		)

      lowerCAmelCase_			:      Dict			=   tokens + ["""<unk>"""]
      lowerCAmelCase_			:      Optional[Any]			=   [14, 15, 20]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase		)    ,						lowerCamelCase		)





    @slow
    def __lowercase   (   self    :  str		)   ->  Optional[Any]:
      lowerCAmelCase_			:      Dict			=   BioGptTokenizer.from_pretrained("""microsoft/biogpt"""		)

      lowerCAmelCase_			:      int			=   tokenizer.encode("""sequence builders"""    ,						add_special_tokens=lowerCamelCase		)
      lowerCAmelCase_			:      Optional[Any]			=   tokenizer.encode("""multi-sequence build"""    ,						add_special_tokens=lowerCamelCase		)

      lowerCAmelCase_			:      str			=   tokenizer.build_inputs_with_special_tokens(lowerCamelCase		)
      lowerCAmelCase_			:      Optional[int]			=   tokenizer.build_inputs_with_special_tokens(lowerCamelCase    ,						lowerCamelCase		)

      self.assertTrue(encoded_sentence == [2] + text		)
      self.assertTrue(encoded_pair == [2] + text + [2] + text_a		)



