



"""simple docstring"""


import math







class  A_     :



						"""simple docstring"""






						def __init__(   self					:Any  ,    lowercase_					:Optional[Any]   )							->     Tuple:
												UpperCAmelCase			 =					len(lowercase_   )
												UpperCAmelCase			 =					[0] * (
												    4 * self.N
												)  # approximate the overall size of segment tree with array N
												self.build(1  ,    0  ,    self.N - 1   )






						def       UpperCAmelCase__	(   self					:List[Any]  ,    lowercase_					:Optional[Any]   )							->     Union[str, Any]:
												return idx * 2






						def       UpperCAmelCase__	(   self					:Dict  ,    lowercase_					:Optional[Any]   )							->     int:
												return idx * 2 + 1






						def       UpperCAmelCase__	(   self					:str  ,    lowercase_					:Union[str, Any]  ,    lowercase_					:Tuple  ,    lowercase_					:Tuple   )							->     Dict:  # noqa: E741
												if l == r:
																		UpperCAmelCase			 =					A[l]
												else:
																		UpperCAmelCase			 =					(l + r) // 2
																		self.build(self.left(lowercase_   )  ,    lowercase_  ,    lowercase_   )
																		self.build(self.right(lowercase_   )  ,    mid + 1  ,    lowercase_   )
																		UpperCAmelCase			 =					max(self.st[self.left(lowercase_   )]  ,    self.st[self.right(lowercase_   )]   )






						def       UpperCAmelCase__	(   self					:Union[str, Any]  ,    lowercase_					:Union[str, Any]  ,    lowercase_					:Optional[Any]  ,    lowercase_					:Optional[Any]   )							->     Any:
												return self.update_recursive(1  ,    0  ,    self.N - 1  ,    a - 1  ,    b - 1  ,    lowercase_   )






						def       UpperCAmelCase__	(   self					:Any  ,    lowercase_					:Optional[Any]  ,    lowercase_					:int  ,    lowercase_					:List[Any]  ,    lowercase_					:List[Any]  ,    lowercase_					:List[str]  ,    lowercase_					:int   )							->     Dict:  # noqa: E741
												if r < a or l > b:
																		return True
												if l == r:
																		UpperCAmelCase			 =					val
																		return True
												UpperCAmelCase			 =					(l + r) // 2
												self.update_recursive(self.left(lowercase_   )  ,    lowercase_  ,    lowercase_  ,    lowercase_  ,    lowercase_  ,    lowercase_   )
												self.update_recursive(self.right(lowercase_   )  ,    mid + 1  ,    lowercase_  ,    lowercase_  ,    lowercase_  ,    lowercase_   )
												UpperCAmelCase			 =					max(self.st[self.left(lowercase_   )]  ,    self.st[self.right(lowercase_   )]   )
												return True






						def       UpperCAmelCase__	(   self					:List[str]  ,    lowercase_					:Tuple  ,    lowercase_					:List[str]   )							->     Dict:
												return self.query_recursive(1  ,    0  ,    self.N - 1  ,    a - 1  ,    b - 1   )






						def       UpperCAmelCase__	(   self					:Union[str, Any]  ,    lowercase_					:Tuple  ,    lowercase_					:Optional[int]  ,    lowercase_					:List[str]  ,    lowercase_					:int  ,    lowercase_					:List[Any]   )							->     Dict:  # noqa: E741
												if r < a or l > b:
																		return -math.inf
												if l >= a and r <= b:
																		return self.st[idx]
												UpperCAmelCase			 =					(l + r) // 2
												UpperCAmelCase			 =					self.query_recursive(self.left(lowercase_   )  ,    lowercase_  ,    lowercase_  ,    lowercase_  ,    lowercase_   )
												UpperCAmelCase			 =					self.query_recursive(self.right(lowercase_   )  ,    mid + 1  ,    lowercase_  ,    lowercase_  ,    lowercase_   )
												return max(lowercase_  ,    lowercase_   )






						def       UpperCAmelCase__	(   self					:str   )							->     Any:
												UpperCAmelCase			 =					[]
												for i in range(1  ,    N + 1   ):
																		show_list += [self.query(lowercase_  ,    lowercase_   )]
												print(lowercase_   )


if __name__ == "__main__":
				snake_case_								=			[1, 2, -4, 7, 3, -5, 6, 11, -20, 9, 14, 15, 5, 2, -8]
				snake_case_								=			15
				snake_case_								=			SegmentTree(A)
				print(segt.query(4, 6))
				print(segt.query(7, 11))
				print(segt.query(7, 12))
				segt.update(1, 3, 111)
				print(segt.query(1, 15))
				segt.update(7, 8, 235)
				segt.show_data()










"""simple docstring"""






from typing import TYPE_CHECKING

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


lowerCamelCase				:     Dict								=  {
    """configuration_camembert""": ["""CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CamembertConfig""", """CamembertOnnxConfig"""],
}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase				:     Optional[Any]								=  ["""CamembertTokenizer"""]

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase				:     Optional[Any]								=  ["""CamembertTokenizerFast"""]

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase				:     int								=  [
        """CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """CamembertForCausalLM""",
        """CamembertForMaskedLM""",
        """CamembertForMultipleChoice""",
        """CamembertForQuestionAnswering""",
        """CamembertForSequenceClassification""",
        """CamembertForTokenClassification""",
        """CamembertModel""",
        """CamembertPreTrainedModel""",
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCamelCase				:     str								=  [
        """TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """TFCamembertForCausalLM""",
        """TFCamembertForMaskedLM""",
        """TFCamembertForMultipleChoice""",
        """TFCamembertForQuestionAnswering""",
        """TFCamembertForSequenceClassification""",
        """TFCamembertForTokenClassification""",
        """TFCamembertModel""",
        """TFCamembertPreTrainedModel""",
    ]


if TYPE_CHECKING:
    from .configuration_camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig, CamembertOnnxConfig

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_camembert import CamembertTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_camembert_fast import CamembertTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_camembert import (
            CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            CamembertForCausalLM,
            CamembertForMaskedLM,
            CamembertForMultipleChoice,
            CamembertForQuestionAnswering,
            CamembertForSequenceClassification,
            CamembertForTokenClassification,
            CamembertModel,
            CamembertPreTrainedModel,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_camembert import (
            TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFCamembertForCausalLM,
            TFCamembertForMaskedLM,
            TFCamembertForMultipleChoice,
            TFCamembertForQuestionAnswering,
            TFCamembertForSequenceClassification,
            TFCamembertForTokenClassification,
            TFCamembertModel,
            TFCamembertPreTrainedModel,
        )

else:
    import sys

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