




"""simple docstring"""

class      A__   :




	def __init__( self	:						Optional[Any]						)       ->			Union[str, Any]:
						__snake_case        =						{}
						# indexmap keys are an index and it's values are the number at that index
						__snake_case        =						{}




	def 				a_		( self	:						List[str]   ,     lowercase	:						list | str | range   ,     lowercase	:						int						)       ->			Optional[Any]:
						if isinstance(_lowerCamelCase   ,     (range, str)						):
											__snake_case        =						list(_lowerCamelCase						)
						elif not isinstance(_lowerCamelCase   ,     _lowerCamelCase						):
											raise TypeError(
											    """binary_search_delete() only accepts either a list, range or str"""						)

						__snake_case        =						0
						__snake_case        =						len(_lowerCamelCase						) - 1

						while low <= high:
											__snake_case        =						(low + high) // 2
											if array[mid] == item:
																array.pop(_lowerCamelCase						)
																return array
											elif array[mid] < item:
																__snake_case        =						mid + 1
											else:
																__snake_case        =						mid - 1
						raise ValueError(
						    """Either the item is not in the array or the array was unsorted"""						)




	def 				a_		( self	:						Any   ,     lowercase	:						list | str | range   ,     lowercase	:						int						)       ->			Union[str, Any]:
						if isinstance(_lowerCamelCase   ,     (range, str)						):
											__snake_case        =						list(_lowerCamelCase						)
						elif not isinstance(_lowerCamelCase   ,     _lowerCamelCase						):
											raise TypeError(
											    """binary_search_insert() only accepts either a list, range or str"""						)

						__snake_case        =						0
						__snake_case        =						len(_lowerCamelCase						) - 1

						while low <= high:
											__snake_case        =						(low + high) // 2
											if array[mid] == index:
																# If the item already exists in the array,
																# insert it after the existing item
																array.insert(mid + 1   ,     _lowerCamelCase						)
																return array
											elif array[mid] < index:
																__snake_case        =						mid + 1
											else:
																__snake_case        =						mid - 1

											 # If the item doesn't exist in the array, insert it at the appropriate position
						array.insert(_lowerCamelCase   ,     _lowerCamelCase						)
						return array




	def 				a_		( self	:						Dict   ,     lowercase	:						int   ,     lowercase	:						int						)       ->			str:
						# Remove previous index
						if index in self.indexmap:
											__snake_case        =						self.indexmap[index]
											if len(self.numbermap[n]						) == 1:
																del self.numbermap[n]
											else:
																__snake_case        =						self.binary_search_delete(self.numbermap[n]   ,     _lowerCamelCase						)

											 # Set new index
						__snake_case        =						number

						# Number not seen before or empty so insert number value
						if number not in self.numbermap:
											__snake_case        =						[index]

						# Here we need to perform a binary search insertion in order to insert
						# The item in the correct place
						else:
											__snake_case        =						self.binary_search_insert(
											    self.numbermap[number]   ,     _lowerCamelCase						)




	def 				a_		( self	:						Dict   ,     lowercase	:						int						)       ->			Union[str, Any]:
						return self.numbermap.get(_lowerCamelCase   ,     [-1]						)[0]


if __name__ == "__main__":
		import doctest

		doctest.testmod()










"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


lowercase_								=	{
    'configuration_gptsan_japanese': ['GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTSanJapaneseConfig'],
    'tokenization_gptsan_japanese': ['GPTSanJapaneseTokenizer'],
}

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowercase_								=	[
           'GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
           'GPTSanJapaneseForConditionalGeneration',
           'GPTSanJapaneseModel',
           'GPTSanJapanesePreTrainedModel',
       ]
       lowercase_								=	[
           'GPTSanJapaneseTokenizer',
       ]


if TYPE_CHECKING:
       from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
       from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_gptsan_japanese import (
                  GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
                  GPTSanJapaneseForConditionalGeneration,
                  GPTSanJapaneseModel,
                  GPTSanJapanesePreTrainedModel,
              )
              from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
       import sys

       lowercase_								=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




