



'''simple docstring'''





from typing import Mapping

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


lowercase_	 =						logging.get_logger(__name__)

lowercase_	 =						{
    "t5-small": "https://huggingface.co/t5-small/resolve/main/config.json",
    "t5-base": "https://huggingface.co/t5-base/resolve/main/config.json",
    "t5-large": "https://huggingface.co/t5-large/resolve/main/config.json",
    "t5-3b": "https://huggingface.co/t5-3b/resolve/main/config.json",
    "t5-11b": "https://huggingface.co/t5-11b/resolve/main/config.json",
}






class __A    (						A		):



 '''simple docstring'''







 __lowerCamelCase					: List[Any]    = 't5'
 __lowerCamelCase					: Any    = ['past_key_values']
 __lowerCamelCase					: Any    = {'hidden_size': 'd_model', 'num_attention_heads': 'num_heads', 'num_hidden_layers': 'num_layers'}



 def __init__(self				,     A=32_128				,     A=512				,     A=64				,     A=2_048				,     A=6				,     A=None				,     A=8				,     A=32				,     A=128				,     A=0.1				,     A=1E-6				,     A=1.0				,     A="relu"				,     A=True				,     A=True				,     A=0				,     A=1				,     **A				,     )					->  List[str]:


      """simple docstring"""



      _a											=						vocab_size
      _a											=						d_model
      _a											=						d_kv
      _a											=						d_ff
      _a											=						num_layers
      _a											=						(
          num_decoder_layers if num_decoder_layers is not None else self.num_layers
      )  # default = symmetry
      _a											=						num_heads
      _a											=						relative_attention_num_buckets
      _a											=						relative_attention_max_distance
      _a											=						dropout_rate
      _a											=						layer_norm_epsilon
      _a											=						initializer_factor
      _a											=						feed_forward_proj
      _a											=						use_cache

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

      if len(A ) > 1 and act_info[0] != "gated" or len(A ) > 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\'''' )

      # for backwards compatibility
      if feed_forward_proj == "gated-gelu":
           _a											=						'''gelu_new'''

      super().__init__(
          pad_token_id=A				,     eos_token_id=A				,     is_encoder_decoder=A				,     **A				,     )






class __A    (						A		):



 '''simple docstring'''







 @property
 def       a__						(self )					->  Mapping[str, Mapping[int, str]]:


      """simple docstring"""



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

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

      return common_inputs



 @property
 def       a__						(self )					->  int:


      """simple docstring"""



      return 13








'''simple docstring'''





import pytest

import datasets


# Import fixture modules as plugins
lowercase_	 =						["tests.fixtures.files", "tests.fixtures.hub", "tests.fixtures.fsspec"]




def lowerCAmelCase						(__A						,			__A):



     """simple docstring"""



     for item in items:
          if any(marker in item.keywords for marker in ['''integration''', '''unit''']):
               continue
          item.add_marker(pytest.mark.unit)




def lowerCAmelCase						(__A):



     """simple docstring"""



     config.addinivalue_line('''markers'''						,			'''torchaudio_latest: mark test to run with torchaudio>=0.12''')




@pytest.fixture(autouse=__A)
def lowerCAmelCase						(__A						,			__A):



     """simple docstring"""



     _a											=						tmp_path_factory.getbasetemp() / '''cache'''
     _a											=						test_hf_cache_home / '''datasets'''
     _a											=						test_hf_cache_home / '''metrics'''
     _a											=						test_hf_cache_home / '''modules'''
     monkeypatch.setattr('''datasets.config.HF_DATASETS_CACHE'''						,			str(__A))
     monkeypatch.setattr('''datasets.config.HF_METRICS_CACHE'''						,			str(__A))
     monkeypatch.setattr('''datasets.config.HF_MODULES_CACHE'''						,			str(__A))
     _a											=						test_hf_datasets_cache / '''downloads'''
     monkeypatch.setattr('''datasets.config.DOWNLOADED_DATASETS_PATH'''						,			str(__A))
     _a											=						test_hf_datasets_cache / '''downloads''' / '''extracted'''
     monkeypatch.setattr('''datasets.config.EXTRACTED_DATASETS_PATH'''						,			str(__A))




@pytest.fixture(autouse=__A						,			scope='''session''')
def lowerCAmelCase						():



     """simple docstring"""



     datasets.disable_progress_bar()




@pytest.fixture(autouse=__A)
def lowerCAmelCase						(__A):



     """simple docstring"""



     monkeypatch.setattr('''datasets.config.HF_UPDATE_DOWNLOAD_COUNTS'''						,			__A)




@pytest.fixture
def lowerCAmelCase						(__A):



     """simple docstring"""



     monkeypatch.setattr('''sqlalchemy.util.deprecations.SILENCE_UBER_WARNING'''						,			__A)



