






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCamelCase											=      logging.get_logger(__name__)

UpperCamelCase											=      {
    '''flaubert/flaubert_small_cased''': '''https://huggingface.co/flaubert/flaubert_small_cased/resolve/main/config.json''',
    '''flaubert/flaubert_base_uncased''': '''https://huggingface.co/flaubert/flaubert_base_uncased/resolve/main/config.json''',
    '''flaubert/flaubert_base_cased''': '''https://huggingface.co/flaubert/flaubert_base_cased/resolve/main/config.json''',
    '''flaubert/flaubert_large_cased''': '''https://huggingface.co/flaubert/flaubert_large_cased/resolve/main/config.json''',
}




class 	lowerCamelCase__				(							UpperCAmelCase ):
      lowerCamelCase_							:   int											=	'flaubert'
      lowerCamelCase_							:   Dict											=	{
          'hidden_size': 'emb_dim',
          'num_attention_heads': 'n_heads',
          'num_hidden_layers': 'n_layers',
          'n_words': 'vocab_size',  # For backward compatibility
      }






      def __init__(self					:    Optional[int]		,		_snake_case					:    int=False		,		_snake_case					:    Union[str, Any]=0.0		,		_snake_case					:    Any=3_0145		,		_snake_case					:    List[Any]=2048		,		_snake_case					:    str=12		,		_snake_case					:    Tuple=16		,		_snake_case					:    str=0.1		,		_snake_case					:    str=0.1		,		_snake_case					:    Dict=True		,		_snake_case					:    Tuple=False		,		_snake_case					:    Dict=False		,		_snake_case					:    Dict=False		,		_snake_case					:    int=1		,		_snake_case					:    List[str]=True		,		_snake_case					:    Dict=512		,		_snake_case					:    str=2048**-0.5		,		_snake_case					:    Tuple=1e-12		,		_snake_case					:    Optional[int]=0.02		,		_snake_case					:    Dict=0		,		_snake_case					:    List[Any]=1		,		_snake_case					:    List[Any]=2		,		_snake_case					:    Optional[Any]=3		,		_snake_case					:    Dict=5		,		_snake_case					:    Optional[Any]=True		,		_snake_case					:    List[str]="first"		,		_snake_case					:    str=True		,		_snake_case					:    Optional[Any]=None		,		_snake_case					:    List[Any]=True		,		_snake_case					:    Union[str, Any]=0.1		,		_snake_case					:    Tuple=5		,		_snake_case					:    Any=5		,		_snake_case					:    Union[str, Any]=0		,		_snake_case					:    Optional[Any]=0		,		_snake_case					:    str=2		,		_snake_case					:    Optional[int]=0		,		**_snake_case					:    Union[str, Any]		,		)       ->   Optional[Any]:


       """simple docstring"""






       lowerCamelCase_							:    Optional[Any]							=     pre_norm
       lowerCamelCase_							:    List[str]							=     layerdrop
       lowerCamelCase_							:    Tuple							=     vocab_size
       lowerCamelCase_							:    Dict							=     emb_dim
       lowerCamelCase_							:    str							=     n_layers
       lowerCamelCase_							:    int							=     n_heads
       lowerCamelCase_							:    int							=     dropout
       lowerCamelCase_							:    Tuple							=     attention_dropout
       lowerCamelCase_							:    List[str]							=     gelu_activation
       lowerCamelCase_							:    Optional[Any]							=     sinusoidal_embeddings
       lowerCamelCase_							:    int							=     causal
       lowerCamelCase_							:    List[Any]							=     asm
       lowerCamelCase_							:    List[Any]							=     n_langs
       lowerCamelCase_							:    Dict							=     use_lang_emb
       lowerCamelCase_							:    Optional[Any]							=     layer_norm_eps
       lowerCamelCase_							:    List[str]							=     bos_index
       lowerCamelCase_							:    List[Any]							=     eos_index
       lowerCamelCase_							:    Optional[int]							=     pad_index
       lowerCamelCase_							:    str							=     unk_index
       lowerCamelCase_							:    List[str]							=     mask_index
       lowerCamelCase_							:    List[Any]							=     is_encoder
       lowerCamelCase_							:    int							=     max_position_embeddings
       lowerCamelCase_							:    List[Any]							=     embed_init_std
       lowerCamelCase_							:    str							=     init_std
       lowerCamelCase_							:    List[Any]							=     summary_type
       lowerCamelCase_							:    int							=     summary_use_proj
       lowerCamelCase_							:    Tuple							=     summary_activation
       lowerCamelCase_							:    List[str]							=     summary_proj_to_labels
       lowerCamelCase_							:    Tuple							=     summary_first_dropout
       lowerCamelCase_							:    Dict							=     start_n_top
       lowerCamelCase_							:    List[str]							=     end_n_top
       lowerCamelCase_							:    List[str]							=     mask_token_id
       lowerCamelCase_							:    str							=     lang_id

       if "n_words" in kwargs:
        lowerCamelCase_							:    Tuple							=     kwargs['n_words']

       super().__init__(pad_token_id=_snake_case		,		bos_token_id=_snake_case		,		**_snake_case		)




class 	lowerCamelCase__				(							UpperCAmelCase ):






      @property
      def      UpperCAmelCase_     (self					:    Optional[Any]		)       ->   Mapping[str, Mapping[int, str]]:


       """simple docstring"""






       if self.task == "multiple-choice":
        lowerCamelCase_							:    Optional[int]							=     {0: 'batch', 1: 'choice', 2: 'sequence'}
       else:
        lowerCamelCase_							:    Optional[int]							=     {0: 'batch', 1: 'sequence'}
       return OrderedDict(
           [
               ('input_ids', dynamic_axis),
               ('attention_mask', dynamic_axis),
           ]		)








import math




class 	lowerCamelCase__				:






      def __init__(self					:    int		,		_snake_case					:    Dict		)       ->   Union[str, Any]:


       """simple docstring"""






       lowerCamelCase_							:    Optional[Any]							=     len(_snake_case		)
       lowerCamelCase_							:    Optional[Any]							=     [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[str]		,		_snake_case					:    List[str]		)       ->   int:


       """simple docstring"""






       return idx * 2






      def      UpperCAmelCase_     (self					:    Tuple		,		_snake_case					:    Dict		)       ->   Optional[Any]:


       """simple docstring"""






       return idx * 2 + 1






      def      UpperCAmelCase_     (self					:    List[Any]		,		_snake_case					:    List[Any]		,		_snake_case					:    str		,		_snake_case					:    List[Any]		)       ->   Optional[Any]:  # noqa: E741


       """simple docstring"""






       if l == r:
        lowerCamelCase_							:    List[Any]							=     A[l]
       else:
        lowerCamelCase_							:    int							=     (l + r) // 2
        self.build(self.left(_snake_case		)		,		_snake_case		,		_snake_case		)
        self.build(self.right(_snake_case		)		,		mid + 1		,		_snake_case		)
        lowerCamelCase_							:    Tuple							=     max(self.st[self.left(_snake_case		)]		,		self.st[self.right(_snake_case		)]		)






      def      UpperCAmelCase_     (self					:    str		,		_snake_case					:    Tuple		,		_snake_case					:    Any		,		_snake_case					:    str		)       ->   Tuple:


       """simple docstring"""






       return self.update_recursive(1		,		0		,		self.N - 1		,		a - 1		,		b - 1		,		_snake_case		)






      def      UpperCAmelCase_     (self					:    Tuple		,		_snake_case					:    List[str]		,		_snake_case					:    Tuple		,		_snake_case					:    Optional[int]		,		_snake_case					:    int		,		_snake_case					:    Tuple		,		_snake_case					:    List[str]		)       ->   Optional[Any]:  # noqa: E741


       """simple docstring"""






       if r < a or l > b:
        return True
       if l == r:
        lowerCamelCase_							:    Tuple							=     val
        return True
       lowerCamelCase_							:    Optional[int]							=     (l + r) // 2
       self.update_recursive(self.left(_snake_case		)		,		_snake_case		,		_snake_case		,		_snake_case		,		_snake_case		,		_snake_case		)
       self.update_recursive(self.right(_snake_case		)		,		mid + 1		,		_snake_case		,		_snake_case		,		_snake_case		,		_snake_case		)
       lowerCamelCase_							:    Union[str, Any]							=     max(self.st[self.left(_snake_case		)]		,		self.st[self.right(_snake_case		)]		)
       return True






      def      UpperCAmelCase_     (self					:    List[Any]		,		_snake_case					:    List[Any]		,		_snake_case					:    Optional[int]		)       ->   str:


       """simple docstring"""






       return self.query_recursive(1		,		0		,		self.N - 1		,		a - 1		,		b - 1		)






      def      UpperCAmelCase_     (self					:    Any		,		_snake_case					:    List[Any]		,		_snake_case					:    Optional[Any]		,		_snake_case					:    int		,		_snake_case					:    Optional[int]		,		_snake_case					:    Optional[Any]		)       ->   str:  # noqa: E741


       """simple docstring"""






       if r < a or l > b:
        return -math.inf
       if l >= a and r <= b:
        return self.st[idx]
       lowerCamelCase_							:    int							=     (l + r) // 2
       lowerCamelCase_							:    Optional[Any]							=     self.query_recursive(self.left(_snake_case		)		,		_snake_case		,		_snake_case		,		_snake_case		,		_snake_case		)
       lowerCamelCase_							:    Union[str, Any]							=     self.query_recursive(self.right(_snake_case		)		,		mid + 1		,		_snake_case		,		_snake_case		,		_snake_case		)
       return max(_snake_case		,		_snake_case		)






      def      UpperCAmelCase_     (self					:    str		)       ->   Tuple:


       """simple docstring"""






       lowerCamelCase_							:    Dict							=     []
       for i in range(1		,		N + 1		):
        show_list += [self.query(_snake_case		,		_snake_case		)]
       print(_snake_case		)


if __name__ == "__main__":
       UpperCamelCase											=      [1, 2, -4, 7, 3, -5, 6, 1_1, -2_0, 9, 1_4, 1_5, 5, 2, -8]
       UpperCamelCase											=      1_5
       UpperCamelCase											=      SegmentTree(A)
       print(segt.query(4, 6))
       print(segt.query(7, 1_1))
       print(segt.query(7, 1_2))
       segt.update(1, 3, 1_1_1)
       print(segt.query(1, 1_5))
       segt.update(7, 8, 2_3_5)
       segt.show_data()
