

import math




def  lowerCAmelCase(			SCREAMING_SNAKE_CASE_ )->	str:



    """simple docstring"""






    if number == 0:
        UpperCamelCase_      =	"Zero"
        return words
    else:
        UpperCamelCase_      =	math.logaa(SCREAMING_SNAKE_CASE_ )
        UpperCamelCase_      =	digits + 1
        UpperCamelCase_      =	{}
        UpperCamelCase_      =	""
        UpperCamelCase_      =	"One"
        UpperCamelCase_      =	"Two"
        UpperCamelCase_      =	"Three"
        UpperCamelCase_      =	"Four"
        UpperCamelCase_      =	"Five"
        UpperCamelCase_      =	"Six"
        UpperCamelCase_      =	"Seven"
        UpperCamelCase_      =	"Eight"
        UpperCamelCase_      =	"Nine"

        UpperCamelCase_      =	{}
        UpperCamelCase_      =	""
        UpperCamelCase_      =	"Twenty"
        UpperCamelCase_      =	"Thirty"
        UpperCamelCase_      =	"Forty"
        UpperCamelCase_      =	"Fifty"
        UpperCamelCase_      =	"Sixty"
        UpperCamelCase_      =	"Seventy"
        UpperCamelCase_      =	"Eighty"
        UpperCamelCase_      =	"Ninety"

        UpperCamelCase_      =	{}
        UpperCamelCase_      =	"Ten"
        UpperCamelCase_      =	"Eleven"
        UpperCamelCase_      =	"Twelve"
        UpperCamelCase_      =	"Thirteen"
        UpperCamelCase_      =	"Fourteen"
        UpperCamelCase_      =	"Fifteen"
        UpperCamelCase_      =	"Sixteen"
        UpperCamelCase_      =	"Seventeen"
        UpperCamelCase_      =	"Eighteen"
        UpperCamelCase_      =	"Nineteen"

        UpperCamelCase_      =	{}
        UpperCamelCase_      =	"Hundred,"
        UpperCamelCase_      =	"Thousand,"
        UpperCamelCase_      =	"Lakh,"
        UpperCamelCase_      =	"Crore,"

        UpperCamelCase_      =	number
        UpperCamelCase_      =	""
        UpperCamelCase_      =	0
        UpperCamelCase_      =	int(SCREAMING_SNAKE_CASE_ )
        while counter < digits:
            UpperCamelCase_      =	temp_num % 1_0
            if counter % 2 == 0:
                UpperCamelCase_      =	""
                if counter in placevalue and current != 0:
                    UpperCamelCase_      =	placevalue[counter]
                if counter == 2:
                    UpperCamelCase_      =	singles[current] + addition + words
                elif counter == 0:
                    if ((temp_num % 1_0_0) // 1_0) == 1:
                        UpperCamelCase_      =	teens[current] + addition + words
                        UpperCamelCase_      =	temp_num // 1_0
                        counter += 1
                    else:
                        UpperCamelCase_      =	singles[current] + addition + words

                else:
                    UpperCamelCase_      =	doubles[current] + addition + words

            else:
                if counter == 1:
                    if current == 1:
                        UpperCamelCase_      =	teens[number % 1_0] + words
                    else:
                        UpperCamelCase_      =	""
                        if counter in placevalue:
                            UpperCamelCase_      =	placevalue[counter]
                        UpperCamelCase_      =	doubles[current] + addition + words
                else:
                    UpperCamelCase_      =	""
                    if counter in placevalue:
                        if current == 0 and ((temp_num % 1_0_0) // 1_0) == 0:
                            UpperCamelCase_      =	""
                        else:
                            UpperCamelCase_      =	placevalue[counter]
                    if ((temp_num % 1_0_0) // 1_0) == 1:
                        UpperCamelCase_      =	teens[current] + addition + words
                        UpperCamelCase_      =	temp_num // 1_0
                        counter += 1
                    else:
                        UpperCamelCase_      =	singles[current] + addition + words
            counter += 1
            UpperCamelCase_      =	temp_num // 1_0
    return words


if __name__ == "__main__":
 import doctest

 doctest.testmod()



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,
)


SCREAMING_SNAKE_CASE		:Optional[Any]				  =    {"""configuration_t5""": ["""T5_PRETRAINED_CONFIG_ARCHIVE_MAP""", """T5Config""", """T5OnnxConfig"""]}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE		:Dict				  =    ["""T5Tokenizer"""]

try:
 if not is_tokenizers_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE		:str				  =    ["""T5TokenizerFast"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE		:List[Any]				  =    [
     """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:
 SCREAMING_SNAKE_CASE		:int				  =    [
     """TF_T5_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """TFT5EncoderModel""",
     """TFT5ForConditionalGeneration""",
     """TFT5Model""",
     """TFT5PreTrainedModel""",
 ]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 SCREAMING_SNAKE_CASE		:List[str]				  =    [
     """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

 SCREAMING_SNAKE_CASE		:List[Any]				  =    _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
