

import logging
import os
import sys
import threading
from logging import (
    CRITICAL,  # NOQA
    DEBUG,  # NOQA
    ERROR,  # NOQA
    FATAL,  # NOQA
    INFO,  # NOQA
    NOTSET,  # NOQA
    WARN,  # NOQA
    WARNING,  # NOQA
)
from typing import Optional

from tqdm import auto as tqdm_lib


_SCREAMING_SNAKE_CASE							 =			threading.Lock()
_SCREAMING_SNAKE_CASE							 =			None

_SCREAMING_SNAKE_CASE							 =			{
    '''debug''': logging.DEBUG,
    '''info''': logging.INFO,
    '''warning''': logging.WARNING,
    '''error''': logging.ERROR,
    '''critical''': logging.CRITICAL,
}

_SCREAMING_SNAKE_CASE							 =			logging.WARNING

_SCREAMING_SNAKE_CASE							 =			True





def  _snake_case		()							->		Union[str, Any]:
  __UpperCAmelCase	:  Optional[int]		=     os.getenv('DIFFUSERS_VERBOSITY'    ,       snake_case_  )
  if env_level_str:
    if env_level_str in log_levels:
      return log_levels[env_level_str]
    else:
      logging.getLogger().warning(
          F"Unknown option DIFFUSERS_VERBOSITY={env_level_str}, "
          F"has to be one of: { ', '.join(log_levels.keys()  ) }"  )
  return _default_log_level





def  _snake_case		()							->		str:
  return __name__.split('.'  )[0]





def  _snake_case		()							->		logging.Logger:
  return logging.getLogger(_get_library_name()  )





def  _snake_case		()							->		None:
  global _default_handler

  with _lock:
    if _default_handler:
      # This library has already configured the library root logger.
      return
    __UpperCAmelCase	:  Optional[int]		=     logging.StreamHandler()  # Set sys.stderr as stream.
    __UpperCAmelCase	:  Any		=     sys.stderr.flush

    # Apply our default configuration to the library root logger.
    __UpperCAmelCase	:  int		=     _get_library_root_logger()
    library_root_logger.addHandler(_default_handler  )
    library_root_logger.setLevel(_get_default_logging_level()  )
    __UpperCAmelCase	:  Dict		=     False





def  _snake_case		()							->		None:
  global _default_handler

  with _lock:
    if not _default_handler:
      return

    __UpperCAmelCase	:  Dict		=     _get_library_root_logger()
    library_root_logger.removeHandler(_default_handler  )
    library_root_logger.setLevel(logging.NOTSET  )
    __UpperCAmelCase	:  Tuple		=     None





def  _snake_case		()							->		Union[str, Any]:
  return log_levels





def  _snake_case		(snake_case_					:     Optional[str] = None  )							->		logging.Logger:

  if name is None:
    __UpperCAmelCase	:  str		=     _get_library_name()

  _configure_library_root_logger()
  return logging.getLogger(snake_case_  )





def  _snake_case		()							->		int:
  _configure_library_root_logger()
  return _get_library_root_logger().getEffectiveLevel()





def  _snake_case		(snake_case_					:     int  )							->		None:
  _configure_library_root_logger()
  _get_library_root_logger().setLevel(snake_case_  )





def  _snake_case		()							->		str:
  return set_verbosity(snake_case_  )





def  _snake_case		()							->		Optional[Any]:
  return set_verbosity(snake_case_  )





def  _snake_case		()							->		Optional[Any]:
  return set_verbosity(snake_case_  )





def  _snake_case		()							->		List[Any]:
  return set_verbosity(snake_case_  )





def  _snake_case		()							->		None:
  _configure_library_root_logger()

  assert _default_handler is not None
  _get_library_root_logger().removeHandler(_default_handler  )





def  _snake_case		()							->		None:
  _configure_library_root_logger()

  assert _default_handler is not None
  _get_library_root_logger().addHandler(_default_handler  )





def  _snake_case		(snake_case_					:     logging.Handler  )							->		None:
  _configure_library_root_logger()

  assert handler is not None
  _get_library_root_logger().addHandler(snake_case_  )





def  _snake_case		(snake_case_					:     logging.Handler  )							->		None:
  _configure_library_root_logger()

  assert handler is not None and handler not in _get_library_root_logger().handlers
  _get_library_root_logger().removeHandler(snake_case_  )





def  _snake_case		()							->		None:
  _configure_library_root_logger()
  __UpperCAmelCase	:  List[Any]		=     False





def  _snake_case		()							->		None:
  _configure_library_root_logger()
  __UpperCAmelCase	:  str		=     True





def  _snake_case		()							->		None:
  __UpperCAmelCase	:  Any		=     _get_library_root_logger().handlers

  for handler in handlers:
    __UpperCAmelCase	:  Optional[int]		=     logging.Formatter('[%(levelname)s|%(filename)s:%(lineno)s] %(asctime)s >> %(message)s'  )
    handler.setFormatter(snake_case_  )





def  _snake_case		()							->		None:
  __UpperCAmelCase	:  Dict		=     _get_library_root_logger().handlers

  for handler in handlers:
    handler.setFormatter(snake_case_  )





def  _snake_case		(self					:     Tuple    ,       *snake_case_					:     str    ,       **snake_case_					:     Tuple  )							->		str:
  __UpperCAmelCase	:  str		=     os.getenv('DIFFUSERS_NO_ADVISORY_WARNINGS'    ,       snake_case_  )
  if no_advisory_warnings:
    return
  self.warning(*snake_case_    ,       **snake_case_  )


_SCREAMING_SNAKE_CASE							 =			warning_advice


class      lowerCamelCase_ :




 def __init__(			self  ,  *_UpperCAmelCase  ,  **_UpperCAmelCase							):  # pylint: disable=unused-argument
   __UpperCAmelCase	:  Optional[Any]		=     args[0] if args else None




 def __iter__(			self							):
   return iter(self._iterator							)




 def __getattr__(			self  ,  _UpperCAmelCase							):

   def empty_fn(*_UpperCAmelCase  ,  **_UpperCAmelCase							):  # pylint: disable=unused-argument
     return

   return empty_fn




 def __enter__(			self							):
   return self




 def __exit__(			self  ,  _UpperCAmelCase  ,  _UpperCAmelCase  ,  _UpperCAmelCase							):
   return



class      lowerCamelCase_ :




 def __call__(			self  ,  *_UpperCAmelCase  ,  **_UpperCAmelCase							):
   if _tqdm_active:
     return tqdm_lib.tqdm(*_UpperCAmelCase  ,  **_UpperCAmelCase							)
   else:
     return EmptyTqdm(*_UpperCAmelCase  ,  **_UpperCAmelCase							)




 def     a       (			self  ,  *_UpperCAmelCase  ,  **_UpperCAmelCase							):
   __UpperCAmelCase	:  Tuple		=     None
   if _tqdm_active:
     return tqdm_lib.tqdm.set_lock(*_UpperCAmelCase  ,  **_UpperCAmelCase							)




 def     a       (			self							):
   if _tqdm_active:
     return tqdm_lib.tqdm.get_lock()



_SCREAMING_SNAKE_CASE							 =			_tqdm_cls()





def  _snake_case		()							->		bool:
  global _tqdm_active
  return bool(_tqdm_active  )





def  _snake_case		()							->		Any:
  global _tqdm_active
  __UpperCAmelCase	:  int		=     True







def  _snake_case		()							->		str:
  global _tqdm_active
  __UpperCAmelCase	:  Dict		=     False









'''simple docstring'''

from collections import OrderedDict
from typing import Mapping

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


__lowercase:		List[str]    						=  logging.get_logger(__name__)

__lowercase:		List[Any]    						=  {
    "uclanlp/plbart-base": "https://huggingface.co/uclanlp/plbart-base/resolve/main/config.json",
    # See all PLBART models at https://huggingface.co/models?filter=plbart
}







class 			UpperCAmelCase			(							SCREAMING_SNAKE_CASE__):
 _lowerCamelCase			:       Optional[int]            =       'plbart'
 _lowerCamelCase			:       Union[str, Any]            =       ['past_key_values']
 _lowerCamelCase			:       Tuple            =       {'num_attention_heads': 'encoder_attention_heads', 'hidden_size': 'd_model'}

 def __init__(			self			:						Optional[Any],       a_			:						Union[str, Any]=5_0005,       a_			:						int=1024,       a_			:						str=6,       a_			:						Union[str, Any]=3072,       a_			:						Optional[int]=12,       a_			:						Optional[Any]=6,       a_			:						Dict=3072,       a_			:						Dict=12,       a_			:						int=0.0,       a_			:						List[Any]=0.0,       a_			:						Optional[Any]=True,       a_			:						List[str]=True,       a_			:						Tuple="gelu",       a_			:						Any=768,       a_			:						Dict=0.1,       a_			:						List[Any]=0.1,       a_			:						Union[str, Any]=0.0,       a_			:						Optional[Any]=0.02,       a_			:						Union[str, Any]=0.0,       a_			:						int=True,       a_			:						Dict=1,       a_			:						Optional[int]=0,       a_			:						Optional[int]=2,       a_			:						Any=2,       **a_			:						Optional[Any],       ):





    """simple docstring"""



    UpperCamelCase__			    =    vocab_size
    UpperCamelCase__			    =    max_position_embeddings
    UpperCamelCase__			    =    d_model
    UpperCamelCase__			    =    encoder_ffn_dim
    UpperCamelCase__			    =    encoder_layers
    UpperCamelCase__			    =    encoder_attention_heads
    UpperCamelCase__			    =    decoder_ffn_dim
    UpperCamelCase__			    =    decoder_layers
    UpperCamelCase__			    =    decoder_attention_heads
    UpperCamelCase__			    =    dropout
    UpperCamelCase__			    =    attention_dropout
    UpperCamelCase__			    =    activation_dropout
    UpperCamelCase__			    =    activation_function
    UpperCamelCase__			    =    init_std
    UpperCamelCase__			    =    encoder_layerdrop
    UpperCamelCase__			    =    decoder_layerdrop
    UpperCamelCase__			    =    classifier_dropout
    UpperCamelCase__			    =    use_cache
    UpperCamelCase__			    =    encoder_layers
    UpperCamelCase__			    =    scale_embedding  # scale factor will be sqrt(d_model) if True
    super().__init__(
        pad_token_id=a_,       bos_token_id=a_,       eos_token_id=a_,       is_encoder_decoder=a_,       forced_eos_token_id=a_,       **a_,       )







class 			UpperCAmelCase			(							SCREAMING_SNAKE_CASE__):

 @property
 def 		lowercase_    (			self			:						int       ):





    """simple docstring"""



    return OrderedDict(
        [
            ("input_ids", {0: "batch", 1: "sequence"}),
            ("attention_mask", {0: "batch", 1: "sequence"}),
        ]       )

 @property
 def 		lowercase_    (			self			:						Tuple       ):





    """simple docstring"""



    if self.use_past:
       return OrderedDict(
           [
               ("last_hidden_state", {0: "batch", 1: "sequence"}),
               ("past_keys", {0: "batch", 2: "sequence"}),
               ("encoder_last_hidden_state", {0: "batch", 1: "sequence"}),
           ]       )
    else:
       return OrderedDict(
           [
               ("last_hidden_state", {0: "batch", 1: "sequence"}),
               ("encoder_last_hidden_state", {0: "batch", 1: "sequence"}),
           ]       )