




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     SCREAMING_SNAKE_CASE__		(_UpperCamelCase    ,					_UpperCamelCase    ,					_UpperCamelCase			):
     @register_to_config
     def __init__(						self	:		List[str]       ,						__lowerCamelCase	:		int       ,						__lowerCamelCase	:		int       ,						__lowerCamelCase	:		int       ,						__lowerCamelCase	:		float       ,						__lowerCamelCase	:		int       ,						__lowerCamelCase	:		int       ,						__lowerCamelCase	:		int       ,						__lowerCamelCase	:		int       ,						__lowerCamelCase	:		str       ,						__lowerCamelCase	:		bool = False       ,						):



       """simple docstring"""
       super().__init__()

       lowerCAmelCase__										=      nn.Embedding(UpperCamelCase__       ,						UpperCamelCase__						)

       lowerCAmelCase__										=      nn.Embedding(UpperCamelCase__       ,						UpperCamelCase__						)
       lowerCAmelCase__										=      False

       lowerCAmelCase__										=      nn.Dropout(p=UpperCamelCase__						)

       lowerCAmelCase__										=      TaConfig(
           vocab_size=UpperCamelCase__       ,						d_model=UpperCamelCase__       ,						num_heads=UpperCamelCase__       ,						d_kv=UpperCamelCase__       ,						d_ff=UpperCamelCase__       ,						dropout_rate=UpperCamelCase__       ,						feed_forward_proj=UpperCamelCase__       ,						is_decoder=UpperCamelCase__       ,						is_encoder_decoder=UpperCamelCase__       ,						)

       lowerCAmelCase__										=      nn.ModuleList()
       for lyr_num in range(UpperCamelCase__						):
         lowerCAmelCase__										=      TaBlock(UpperCamelCase__						)
         self.encoders.append(UpperCamelCase__						)

       lowerCAmelCase__										=      TaLayerNorm(UpperCamelCase__						)
       lowerCAmelCase__										=      nn.Dropout(p=UpperCamelCase__						)



     def        A__      (						self	:		str       ,						__lowerCamelCase	:		str       ,						__lowerCamelCase	:		List[str]						):



       """simple docstring"""
       lowerCAmelCase__										=      self.token_embedder(UpperCamelCase__						)

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

       lowerCAmelCase__										=      self.dropout_pre(UpperCamelCase__						)

       # inverted the attention mask
       lowerCAmelCase__										=      encoder_input_tokens.size()
       lowerCAmelCase__										=      self.get_extended_attention_mask(UpperCamelCase__       ,						UpperCamelCase__						)

       for lyr in self.encoders:
         lowerCAmelCase__										=      lyr(UpperCamelCase__       ,						UpperCamelCase__						)[0]
       lowerCAmelCase__										=      self.layer_norm(UpperCamelCase__						)

       return self.dropout_post(UpperCamelCase__						), encoder_inputs_mask


'''simple docstring'''






import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline





@pytest.mark.integration
def  _SCREAMING_SNAKE_CASE		(      ):
     with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT				):
          with pytest.raises(__snake_case				):
               requests.request('GET'   ,		'https://huggingface.co'				)
          with pytest.raises(requests.exceptions.ConnectTimeout				):
               requests.request('GET'   ,		'https://huggingface.co'   ,		timeout=1.0				)





@pytest.mark.integration
def  _SCREAMING_SNAKE_CASE		(      ):
     with offline(OfflineSimulationMode.CONNECTION_FAILS				):
          with pytest.raises(requests.exceptions.ConnectionError				):
               requests.request('GET'   ,		'https://huggingface.co'				)





def  _SCREAMING_SNAKE_CASE		(      ):
     with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1				):
          with pytest.raises(__snake_case				):
               http_head('https://huggingface.co'				)



