"""simple docstring"""







from typing import TYPE_CHECKING

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


lowerCamelCase      : Union[str, Any]       ={
    """configuration_dpr""": ["""DPR_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DPRConfig"""],
    """tokenization_dpr""": [
        """DPRContextEncoderTokenizer""",
        """DPRQuestionEncoderTokenizer""",
        """DPRReaderOutput""",
        """DPRReaderTokenizer""",
    ],
}


try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase      : List[Any]       =[
           """DPRContextEncoderTokenizerFast""",
           """DPRQuestionEncoderTokenizerFast""",
           """DPRReaderTokenizerFast""",
       ]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase      : List[Any]       =[
           """DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """DPRContextEncoder""",
           """DPRPretrainedContextEncoder""",
           """DPRPreTrainedModel""",
           """DPRPretrainedQuestionEncoder""",
           """DPRPretrainedReader""",
           """DPRQuestionEncoder""",
           """DPRReader""",
       ]

try:
       if not is_tf_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase      : Union[str, Any]       =[
           """TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST""",
           """TFDPRContextEncoder""",
           """TFDPRPretrainedContextEncoder""",
           """TFDPRPretrainedQuestionEncoder""",
           """TFDPRPretrainedReader""",
           """TFDPRQuestionEncoder""",
           """TFDPRReader""",
       ]


if TYPE_CHECKING:
       from .configuration_dpr import DPR_PRETRAINED_CONFIG_ARCHIVE_MAP, DPRConfig
       from .tokenization_dpr import (
           DPRContextEncoderTokenizer,
           DPRQuestionEncoderTokenizer,
           DPRReaderOutput,
           DPRReaderTokenizer,
       )

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_dpr_fast import (
                  DPRContextEncoderTokenizerFast,
                  DPRQuestionEncoderTokenizerFast,
                  DPRReaderTokenizerFast,
              )

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_dpr import (
                  DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  DPRContextEncoder,
                  DPRPretrainedContextEncoder,
                  DPRPreTrainedModel,
                  DPRPretrainedQuestionEncoder,
                  DPRPretrainedReader,
                  DPRQuestionEncoder,
                  DPRReader,
              )

       try:
              if not is_tf_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_tf_dpr import (
                  TF_DPR_CONTEXT_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TF_DPR_QUESTION_ENCODER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TF_DPR_READER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  TFDPRContextEncoder,
                  TFDPRPretrainedContextEncoder,
                  TFDPRPretrainedQuestionEncoder,
                  TFDPRPretrainedReader,
                  TFDPRQuestionEncoder,
                  TFDPRReader,
              )

else:
       import sys

       lowerCamelCase      : str       =_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








'''simple docstring'''






from __future__ import annotations

A_				:					Tuple							=      """Alexander Joslin"""




def        snake_case_   (	lowerCAmelCase_						)->						int:





       '''simple docstring'''


       if number <= 0:
              _UpperCAmelCase    :		Union[str, Any]     	=					F'''n must be greater than 0. Got n = {number}'''
              raise ValueError(lowerCAmelCase_						)

       _UpperCAmelCase    :		List[str]     	=					[number + 1] * (number + 1)

       # starting position
       _UpperCAmelCase    :		Dict     	=					0
       for i in range(1			,  lowerCAmelCase_						):
              _UpperCAmelCase    :		int     	=					min(table[i + 1]			,  table[i] + 1						)
              # check if out of bounds
              if i * 2 <= number:
                     _UpperCAmelCase    :		Dict     	=					min(table[i * 2]			,  table[i] + 1						)
              # check if out of bounds
              if i * 3 <= number:
                     _UpperCAmelCase    :		Tuple     	=					min(table[i * 3]			,  table[i] + 1						)
       return table[number]


if __name__ == "__main__":
   import doctest

   doctest.testmod()



