import torch
import torch.nn as nn
from transformers.modeling_utils import ModuleUtilsMixin
from transformers.models.ta.modeling_ta import TaBlock, TaConfig, TaLayerNorm

from ...configuration_utils import ConfigMixin, register_to_config
from ...models import ModelMixin






class      __lowercase					(    _A       ,     _A       ,     _A    ):

						@register_to_config
						def __init__(	self				:      Tuple							,							__lowerCamelCase				:      int							,							__lowerCamelCase				:      int							,							__lowerCamelCase				:      int							,							__lowerCamelCase				:      float							,							__lowerCamelCase				:      int							,							__lowerCamelCase				:      int							,							__lowerCamelCase				:      int							,							__lowerCamelCase				:      int							,							__lowerCamelCase				:      str							,							__lowerCamelCase				:      bool = False							,							)							->		List[Any]:


									'''simple docstring'''

									super().__init__()

									lowercase							=		nn.Embedding(__lowerCamelCase							,							__lowerCamelCase   )

									lowercase							=		nn.Embedding(__lowerCamelCase							,							__lowerCamelCase   )
									lowercase							=		False

									lowercase							=		nn.Dropout(p=__lowerCamelCase   )

									lowercase							=		TaConfig(
									    vocab_size=__lowerCamelCase							,							d_model=__lowerCamelCase							,							num_heads=__lowerCamelCase							,							d_kv=__lowerCamelCase							,							d_ff=__lowerCamelCase							,							dropout_rate=__lowerCamelCase							,							feed_forward_proj=__lowerCamelCase							,							is_decoder=__lowerCamelCase							,							is_encoder_decoder=__lowerCamelCase							,							)

									lowercase							=		nn.ModuleList()
									for lyr_num in range(__lowerCamelCase   ):
												lowercase							=		TaBlock(__lowerCamelCase   )
												self.encoders.append(__lowerCamelCase   )

									lowercase							=		TaLayerNorm(__lowerCamelCase   )
									lowercase							=		nn.Dropout(p=__lowerCamelCase   )



						def        __a		(	self				:      Tuple							,							__lowerCamelCase				:      Optional[int]							,							__lowerCamelCase				:      List[Any]   )							->		List[str]:


									'''simple docstring'''

									lowercase							=		self.token_embedder(__lowerCamelCase   )

									lowercase							=		encoder_input_tokens.shape[1]
									lowercase							=		torch.arange(__lowerCamelCase							,							device=encoder_input_tokens.device   )
									x += self.position_encoding(__lowerCamelCase   )

									lowercase							=		self.dropout_pre(__lowerCamelCase   )

									# inverted the attention mask
									lowercase							=		encoder_input_tokens.size()
									lowercase							=		self.get_extended_attention_mask(__lowerCamelCase							,							__lowerCamelCase   )

									for lyr in self.encoders:
												lowercase							=		lyr(__lowerCamelCase							,							__lowerCamelCase   )[0]
									lowercase							=		self.layer_norm(__lowerCamelCase   )

									return self.dropout_post(__lowerCamelCase   ), encoder_inputs_mask






# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


A_      =      re.compile(R"^(?P<major>\d+)" R"\.(?P<minor>\d+)" R"\.(?P<patch>\d+)$")






@total_ordering
@dataclass
class      __lowercase					:
						lowercase					 =     42
						lowercase					 =     None
						lowercase					 =     None
						lowercase					 =     None
						lowercase					 =     None

						def        __a		(	self				:      int   )							->		str:


									'''simple docstring'''

									lowercase		,lowercase		,lowercase							=		_str_to_version_tuple(self.version_str   )

						def __repr__(	self				:      Union[str, Any]   )							->		int:


									'''simple docstring'''

									return f'{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}'

						@property
						def        __a		(	self				:      Dict   )							->		Union[str, Any]:


									'''simple docstring'''

									return self.major, self.minor, self.patch

						def        __a		(	self				:      Optional[Any]							,							__lowerCamelCase				:      Any   )							->		Dict:


									'''simple docstring'''

									if isinstance(__lowerCamelCase							,							__lowerCamelCase   ):
												return Version(__lowerCamelCase   )
									elif isinstance(__lowerCamelCase							,							__lowerCamelCase   ):
												return other
									raise TypeError(f'{other} (type {type(__lowerCamelCase   )}) cannot be compared to version.'   )

						def __eq__(	self				:      Tuple							,							__lowerCamelCase				:      Tuple   )							->		List[Any]:


									'''simple docstring'''

									try:
												lowercase							=		self._validate_operand(__lowerCamelCase   )
									except (TypeError, ValueError):
												return False
									else:
												return self.tuple == other.tuple

						def __lt__(	self				:      Any							,							__lowerCamelCase				:      Union[str, Any]   )							->		int:


									'''simple docstring'''

									lowercase							=		self._validate_operand(__lowerCamelCase   )
									return self.tuple < other.tuple

						def __hash__(	self				:      int   )							->		str:


									'''simple docstring'''

									return hash(_version_tuple_to_str(self.tuple   )   )

						@classmethod
						def        __a		(	cls				:      List[str]							,							__lowerCamelCase				:      Any   )							->		int:


									'''simple docstring'''

									lowercase							=		{f.name for f in dataclasses.fields(cls   )}
									return cls(**{k: v for k, v in dic.items() if k in field_names}   )



						def        __a		(	self				:      Union[str, Any]   )							->		str:


									'''simple docstring'''

									return self.version_str






def        __UpperCAmelCase    (       UpperCAmelCase       )->       List[str]:



			"""simple docstring"""







			lowercase							=		_VERSION_REG.match(UpperCAmelCase       )
			if not res:
						raise ValueError(f'Invalid version \'{version_str}\'. Format should be x.y.z with {{x,y,z}} being digits.'       )
			return tuple(int(UpperCAmelCase       ) for v in [res.group('''major'''       ), res.group('''minor'''       ), res.group('''patch'''       )]       )






def        __UpperCAmelCase    (       UpperCAmelCase       )->       int:



			"""simple docstring"""







			return ".".join(str(UpperCAmelCase       ) for v in version_tuple       )





