





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_torch_available


a__			:    Tuple			      =		{
    'configuration_xlm_prophetnet': ['XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP', 'XLMProphetNetConfig'],
}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      a__			:    Optional[Any]			      =		['XLMProphetNetTokenizer']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      a__			:    List[str]			      =		[
          'XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST',
          'XLMProphetNetDecoder',
          'XLMProphetNetEncoder',
          'XLMProphetNetForCausalLM',
          'XLMProphetNetForConditionalGeneration',
          'XLMProphetNetModel',
          'XLMProphetNetPreTrainedModel',
      ]


if TYPE_CHECKING:
      from .configuration_xlm_prophetnet import XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, XLMProphetNetConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_xlm_prophetnet import XLMProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_xlm_prophetnet import (
                XLM_PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                XLMProphetNetDecoder,
                XLMProphetNetEncoder,
                XLMProphetNetForCausalLM,
                XLMProphetNetForConditionalGeneration,
                XLMProphetNetModel,
                XLMProphetNetPreTrainedModel,
            )

else:
      import sys

      a__			:    Dict			      =		_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)










from __future__ import annotations

def     UpperCAmelCase_						(						_UpperCAmelCase       :list[int | float]							)  ->							int | float:
     '''simple docstring'''


     if len(_UpperCAmelCase							) == 0:
          raise ValueError('''find_max() arg is an empty sequence'''							)
     A_					      =					nums[0]
     for x in nums:
          if x > max_num:
               A_					      =					x
     return max_num


if __name__ == "__main__":
      import doctest

      doctest.testmod(verbose=True)



