





"""simple docstring"""






from typing import TYPE_CHECKING

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


lowerCAmelCase_      =				{'''configuration_t5''': ['''T5_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''T5Config''', '''T5OnnxConfig''']}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase_      =				['''T5Tokenizer''']

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase_      =				['''T5TokenizerFast''']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase_      =				[
        '''T5_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''T5EncoderModel''',
        '''T5ForConditionalGeneration''',
        '''T5Model''',
        '''T5PreTrainedModel''',
        '''load_tf_weights_in_t5''',
        '''T5ForQuestionAnswering''',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase_      =				[
        '''TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''TFT5EncoderModel''',
        '''TFT5ForConditionalGeneration''',
        '''TFT5Model''',
        '''TFT5PreTrainedModel''',
    ]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase_      =				[
        '''FlaxT5EncoderModel''',
        '''FlaxT5ForConditionalGeneration''',
        '''FlaxT5Model''',
        '''FlaxT5PreTrainedModel''',
    ]


if TYPE_CHECKING:
    from .configuration_ta import T5_PRETRAINED_CONFIG_ARCHIVE_MAP, TaConfig, TaOnnxConfig

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_ta import TaTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_ta_fast import TaTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_ta import (
            T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            TaEncoderModel,
            TaForConditionalGeneration,
            TaForQuestionAnswering,
            TaModel,
            TaPreTrainedModel,
            load_tf_weights_in_ta,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_ta import (
            TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFTaEncoderModel,
            TFTaForConditionalGeneration,
            TFTaModel,
            TFTaPreTrainedModel,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_flax_ta import (
            FlaxTaEncoderModel,
            FlaxTaForConditionalGeneration,
            FlaxTaModel,
            FlaxTaPreTrainedModel,
        )


else:
    import sys

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













"""simple docstring"""






from collections import defaultdict

def    __lowerCamelCase     (							SCREAMING_SNAKE_CASE = 5				)		->							int:






       """simple docstring"""




       _UpperCAmelCase			     =  defaultdict(SCREAMING_SNAKE_CASE				)
       _UpperCAmelCase			     =  0

       while True:
              _UpperCAmelCase			     =  get_digits(SCREAMING_SNAKE_CASE				)
              freqs[digits].append(SCREAMING_SNAKE_CASE				)

              if len(freqs[digits]				) == max_base:
                     _UpperCAmelCase			     =  freqs[digits][0] ** 3
                     return base

              num += 1

def    __lowerCamelCase     (							SCREAMING_SNAKE_CASE				)		->							str:






       """simple docstring"""




       return "".join(sorted(str(num**3				)				)				)


if __name__ == "__main__":
    print(F'''{solution() = }''')






