



from __future__ import annotations


class   lowerCamelCase__  :



	"""simple docstring"""

	def __init__(						self				:				Any ,	__lowerCAmelCase				:				int			)      ->  Union[str, Any]:
				_A						     =					value
				_A						     =					None
				_A						     =					None


class   lowerCamelCase__  :



	"""simple docstring"""

	a__				:   Tuple   =     42

	def __init__(						self				:				List[str]			)      ->  Tuple:
				_A						     =					0

	def 						snake_case_			(						self				:				Dict ,	__lowerCAmelCase				:				Node | None ,	__lowerCAmelCase				:				int			)      ->  Optional[Any]:
				if node is None:
							return

				if path_sum == self.target:
							self.paths += 1

				if node.left:
							self.depth_first_search(node.left ,	path_sum + node.left.value			)
				if node.right:
							self.depth_first_search(node.right ,	path_sum + node.right.value			)

	def 						snake_case_			(						self				:				Optional[Any] ,	__lowerCAmelCase				:				Node | None ,	__lowerCAmelCase				:				int | None = None			)      ->  List[str]:
				if node is None:
							return 0
				if target is not None:
							_A						     =					target

				self.depth_first_search(_lowerCAmelCase ,	node.value			)
				self.path_sum(node.left			)
				self.path_sum(node.right			)

				return self.paths


if __name__ == "__main__":
			import doctest

			doctest.testmod()








from typing import TYPE_CHECKING

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


UpperCAmelCase_		   =				{
    """configuration_xlm_prophetnet""": ["""XLM_PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP""", """XLMProphetNetConfig"""],
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_		   =				["""XLMProphetNetTokenizer"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_		   =				[
       """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

   UpperCAmelCase_		   =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



