






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,
)


if is_sentencepiece_available():
     from ..ta.tokenization_ta import TaTokenizer
else:
     from ...utils.dummy_sentencepiece_objects import TaTokenizer

UpperCAmelCase__				   =		TaTokenizer

if is_tokenizers_available():
     from ..ta.tokenization_ta_fast import TaTokenizerFast
else:
     from ...utils.dummy_tokenizers_objects import TaTokenizerFast

UpperCAmelCase__				   =		TaTokenizerFast

UpperCAmelCase__				   =		{"configuration_mt5": ["MT5Config", "MT5OnnxConfig"]}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__				   =		[
         "MT5EncoderModel",
         "MT5ForConditionalGeneration",
         "MT5ForQuestionAnswering",
         "MT5Model",
         "MT5PreTrainedModel",
         "MT5Stack",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__				   =		["TFMT5EncoderModel", "TFMT5ForConditionalGeneration", "TFMT5Model"]

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__				   =		["FlaxMT5EncoderModel", "FlaxMT5ForConditionalGeneration", "FlaxMT5Model"]


if TYPE_CHECKING:
     from .configuration_mta import MTaConfig, MTaOnnxConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_mta import (
              MTaEncoderModel,
              MTaForConditionalGeneration,
              MTaForQuestionAnswering,
              MTaModel,
              MTaPreTrainedModel,
              MTaStack,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_mta import TFMTaEncoderModel, TFMTaForConditionalGeneration, TFMTaModel

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_mta import FlaxMTaEncoderModel, FlaxMTaForConditionalGeneration, FlaxMTaModel

else:
     import sys

     UpperCAmelCase__				   =		_LazyModule(
         __name__,
         globals()["__file__"],
         _import_structure,
         extra_objects={"MT5Tokenizer": MTaTokenizer, "MT5TokenizerFast": MTaTokenizerFast},
         module_spec=__spec__,
     )










def 						_a    (      a :float	,							a :float )							->			float:
 return price * (1 + tax_rate)


if __name__ == "__main__":
     print(f"""{price_plus_tax(100, 0.25) = }""")
     print(f"""{price_plus_tax(125.50, 0.05) = }""")


