
"""simple docstring"""

from typing import Mapping

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


UpperCamelCase	:				Any  	= logging.get_logger(__name__)

UpperCamelCase	:				str  	= {
    "google/umt5-small": "https://huggingface.co/google/umt5-small/resolve/main/config.json",
    # See all umt5 models at https://huggingface.co/models?filter=umt5
}

class __lowerCAmelCase		(      __SCREAMING_SNAKE_CASE			):
     lowercase						   =						"umt5"
     lowercase						   =						["past_key_values"]





     def __init__(	self	,     __UpperCAmelCase=25_0112	,     __UpperCAmelCase=512	,     __UpperCAmelCase=64	,     __UpperCAmelCase=1024	,     __UpperCAmelCase=8	,     __UpperCAmelCase=None	,     __UpperCAmelCase=6	,     __UpperCAmelCase=32	,     __UpperCAmelCase=128	,     __UpperCAmelCase=0.1	,     __UpperCAmelCase=1E-6	,     __UpperCAmelCase=1.0	,     __UpperCAmelCase="gated-gelu"	,     __UpperCAmelCase=True	,     __UpperCAmelCase=True	,     __UpperCAmelCase="T5Tokenizer"	,     __UpperCAmelCase=True	,     __UpperCAmelCase=0	,     __UpperCAmelCase=1	,     __UpperCAmelCase=0	,     **__UpperCAmelCase	,     ):

      '''simple docstring'''




      super().__init__(
          is_encoder_decoder=__lowerCAmelCase	,     tokenizer_class=__lowerCAmelCase	,     tie_word_embeddings=__lowerCAmelCase	,     pad_token_id=__lowerCAmelCase	,     eos_token_id=__lowerCAmelCase	,     decoder_start_token_id=__lowerCAmelCase	,     **__lowerCAmelCase	,     )
      __UpperCamelCase				  =       vocab_size
      __UpperCamelCase				  =       d_model
      __UpperCamelCase				  =       d_kv
      __UpperCamelCase				  =       d_ff
      __UpperCamelCase				  =       num_layers
      __UpperCamelCase				  =       (
          num_decoder_layers if num_decoder_layers is not None else self.num_layers
      )  # default = symmetry
      __UpperCamelCase				  =       num_heads
      __UpperCamelCase				  =       relative_attention_num_buckets
      __UpperCamelCase				  =       relative_attention_max_distance
      __UpperCamelCase				  =       dropout_rate
      __UpperCamelCase				  =       layer_norm_epsilon
      __UpperCamelCase				  =       initializer_factor
      __UpperCamelCase				  =       feed_forward_proj
      __UpperCamelCase				  =       use_cache

      __UpperCamelCase				  =       self.feed_forward_proj.split('-'      )
      __UpperCamelCase				  =       act_info[-1]
      __UpperCamelCase				  =       act_info[0] == 'gated'

      if len(__lowerCAmelCase      ) > 1 and act_info[0] != "gated" or len(__lowerCAmelCase      ) > 2:
       raise ValueError(
           F'`feed_forward_proj`: {feed_forward_proj} is not a valid activation function of the dense layer.'
           'Please make sure `feed_forward_proj` is of the format `gated-{ACT_FN}` or `{ACT_FN}`, e.g. '
           '\'gated-gelu\' or \'relu\''      )

      if feed_forward_proj == "gated-gelu":
       __UpperCamelCase				  =       'gelu_new'





     @property
     def 						UpperCAmelCase					(	self      ):

      '''simple docstring'''




      return self.d_model





     @property
     def 						UpperCAmelCase					(	self      ):

      '''simple docstring'''




      return self.num_heads







     @property
     def 						UpperCAmelCase					(	self      ):

      '''simple docstring'''




      return self.num_layers


class __lowerCAmelCase		(      __SCREAMING_SNAKE_CASE			):





     @property
     # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.inputs
     def 						UpperCAmelCase					(	self      ):

      '''simple docstring'''




      __UpperCamelCase				  =       {
          'input_ids': {0: 'batch', 1: 'encoder_sequence'},
          'attention_mask': {0: 'batch', 1: 'encoder_sequence'},
      }
      if self.use_past:
       __UpperCamelCase				  =       'past_encoder_sequence + sequence'
       __UpperCamelCase				  =       {0: 'batch'}
       __UpperCamelCase				  =       {0: 'batch', 1: 'past_decoder_sequence + sequence'}
      else:
       __UpperCamelCase				  =       {0: 'batch', 1: 'decoder_sequence'}
       __UpperCamelCase				  =       {0: 'batch', 1: 'decoder_sequence'}

      if self.use_past:
       self.fill_with_past_key_values_(__lowerCAmelCase	,     direction='inputs'      )

      return common_inputs





     @property
     # Copied from transformers.models.t5.configuration_t5.T5OnnxConfig.default_onnx_opset
     def 						UpperCAmelCase					(	self      ):

      '''simple docstring'''




      return 13







     @property
     def 						UpperCAmelCase					(	self      ):

      '''simple docstring'''




      return 5E-4










from __future__ import annotations

from random import random






class 					__A    :

			'''simple docstring'''







			def __init__(    self       ,  __lowerCAmelCase = None							):



				'''simple docstring'''







				lowerCamelCase__								=		value
				lowerCamelCase__								=		random()
				lowerCamelCase__								=		None
				lowerCamelCase__								=		None





			def __repr__(    self							):



				'''simple docstring'''







				from pprint import pformat

				if self.left is None and self.right is None:
					return F'\'{self.value}: {self.prior:.5}\''
				else:
					return pformat(
					    {F'{self.value}: {self.prior:.5}': (self.left, self.right)}       ,  indent=1							)





			def __str__(    self							):



				'''simple docstring'''







				lowerCamelCase__								=		str(self.value							) + ''' '''
				lowerCamelCase__								=		str(self.left or ''''''							)
				lowerCamelCase__								=		str(self.right or ''''''							)
				return value + left + right





def lowerCAmelCase__(__snake_case       ,__snake_case							)				->      tuple[Node | None, Node | None]:







	'''simple docstring'''







	if root is None:  # None tree is split into 2 Nones
		return None, None
	elif root.value is None:
		return None, None
	else:
		if value < root.value:
			lowerCamelCase__				,	lowerCamelCase__								=		split(root.left       ,__snake_case							)
			return left, root
		else:
			lowerCamelCase__				,	lowerCamelCase__								=		split(root.right       ,__snake_case							)
			return root, right





def lowerCAmelCase__(__snake_case       ,__snake_case							)				->      Node | None:







	'''simple docstring'''







	if (not left) or (not right):  # If one node is None, return the other
		return left or right
	elif left.prior < right.prior:
		lowerCamelCase__								=		merge(left.right       ,__snake_case							)
		return left
	else:
		lowerCamelCase__								=		merge(__snake_case       ,right.left							)
		return right





def lowerCAmelCase__(__snake_case       ,__snake_case							)				->      Node | None:







	'''simple docstring'''







	lowerCamelCase__								=		Node(__snake_case							)
	lowerCamelCase__				,	lowerCamelCase__								=		split(__snake_case       ,__snake_case							)
	return merge(merge(__snake_case       ,__snake_case							)       ,__snake_case							)





def lowerCAmelCase__(__snake_case       ,__snake_case							)				->      Node | None:







	'''simple docstring'''







	lowerCamelCase__				,	lowerCamelCase__								=		split(__snake_case       ,value - 1							)
	lowerCamelCase__				,	lowerCamelCase__								=		split(__snake_case       ,__snake_case							)
	return merge(__snake_case       ,__snake_case							)





def lowerCAmelCase__(__snake_case							)				->      None:







	'''simple docstring'''







	if not root:  # None
		return
	else:
		inorder(root.left							)
		print(root.value       ,end=''','''							)
		inorder(root.right							)





def lowerCAmelCase__(__snake_case       ,__snake_case							)				->      Node | None:







	'''simple docstring'''







	for arg in args.split():
		if arg[0] == "+":
			lowerCamelCase__								=		insert(__snake_case       ,int(arg[1:]							)							)

		elif arg[0] == "-":
			lowerCamelCase__								=		erase(__snake_case       ,int(arg[1:]							)							)

		else:
			print('''Unknown command'''							)

	return root





def lowerCAmelCase__()				->      None:







	'''simple docstring'''







	lowerCamelCase__								=		None
	print(
	    '''enter numbers to create a tree, + value to add value into treap, '''
	    '''- value to erase all nodes with value. \'q\' to quit. '''							)

	lowerCamelCase__								=		input()
	while args != "q":
		lowerCamelCase__								=		interact_treap(__snake_case       ,__snake_case							)
		print(__snake_case							)
		lowerCamelCase__								=		input()

	print('''good by!'''							)


if __name__ == "__main__":
			import doctest

			doctest.testmod()
			main()



