






import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_					:		Any           = logging.get_logger(__name__)

UpperCAmelCase_					:		Tuple           = {}

class        _SCREAMING_SNAKE_CASE			(     _a ):
	snake_case__				:	List[str]	      =    """fsmt_decoder"""





	def __init__(						self							:   Optional[Any]					,    __lowerCamelCase							:   Optional[Any]=0					,    __lowerCamelCase							:   Optional[Any]=0      ):
		super().__init__()
		UpperCamelCase	:int		=      vocab_size
		UpperCamelCase	:Union[str, Any]		=      bos_token_id

class        _SCREAMING_SNAKE_CASE			(     _a ):
	snake_case__				:	Optional[Any]	      =    """fsmt"""
	snake_case__				:	Optional[Any]	      =    {"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}





	def __init__(						self							:   Any					,    __lowerCamelCase							:   Optional[Any]=["en", "de"]					,    __lowerCamelCase							:   Dict=42_024					,    __lowerCamelCase							:   List[str]=42_024					,    __lowerCamelCase							:   Union[str, Any]="relu"					,    __lowerCamelCase							:   Optional[Any]=1_024					,    __lowerCamelCase							:   Dict=200					,    __lowerCamelCase							:   Union[str, Any]=1_024					,    __lowerCamelCase							:   Any=4_096					,    __lowerCamelCase							:   str=12					,    __lowerCamelCase							:   Union[str, Any]=16					,    __lowerCamelCase							:   int=0.0					,    __lowerCamelCase							:   int=4_096					,    __lowerCamelCase							:   Optional[Any]=12					,    __lowerCamelCase							:   Optional[int]=16					,    __lowerCamelCase							:   Tuple=0.0					,    __lowerCamelCase							:   List[Any]=0.0					,    __lowerCamelCase							:   Any=0.1					,    __lowerCamelCase							:   str=0.0					,    __lowerCamelCase							:   Tuple=0.02					,    __lowerCamelCase							:   Dict=2					,    __lowerCamelCase							:   List[Any]=True					,    __lowerCamelCase							:   Optional[int]=True					,    __lowerCamelCase							:   Optional[Any]=False					,    __lowerCamelCase							:   Optional[int]=5					,    __lowerCamelCase							:   Union[str, Any]=1.0					,    __lowerCamelCase							:   Tuple=False					,    __lowerCamelCase							:   Optional[Any]=True					,    __lowerCamelCase							:   Any=1					,    __lowerCamelCase							:   Tuple=0					,    __lowerCamelCase							:   Tuple=2					,    __lowerCamelCase							:   str=2					,    **__lowerCamelCase							:   Any					,    ):
		UpperCamelCase	:List[Any]		=      langs
		UpperCamelCase	:int		=      src_vocab_size
		UpperCamelCase	:Dict		=      tgt_vocab_size
		UpperCamelCase	:Union[str, Any]		=      d_model  # encoder_embed_dim and decoder_embed_dim

		UpperCamelCase	:int		=      encoder_ffn_dim
		UpperCamelCase	:str		=      encoder_layers
		UpperCamelCase	:List[Any]		=      encoder_attention_heads
		UpperCamelCase	:Tuple		=      encoder_layerdrop
		UpperCamelCase	:Dict		=      decoder_layerdrop
		UpperCamelCase	:List[str]		=      decoder_ffn_dim
		UpperCamelCase	:List[Any]		=      decoder_layers
		UpperCamelCase	:int		=      decoder_attention_heads
		UpperCamelCase	:List[str]		=      max_position_embeddings
		UpperCamelCase	:List[Any]		=      init_std  # Normal(0, this parameter)
		UpperCamelCase	:Tuple		=      activation_function

		UpperCamelCase	:str		=      DecoderConfig(vocab_size=__lowerCamelCase					,    bos_token_id=__lowerCamelCase      )
		if "decoder" in common_kwargs:
			del common_kwargs["decoder"]

		UpperCamelCase	:Optional[int]		=      scale_embedding  # scale factor will be sqrt(d_model) if True

		# 3 Types of Dropout
		UpperCamelCase	:Optional[Any]		=      attention_dropout
		UpperCamelCase	:Tuple		=      activation_dropout
		UpperCamelCase	:str		=      dropout

		UpperCamelCase	:str		=      use_cache
		super().__init__(
		    pad_token_id=__lowerCamelCase					,    bos_token_id=__lowerCamelCase					,    eos_token_id=__lowerCamelCase					,    decoder_start_token_id=__lowerCamelCase					,    is_encoder_decoder=__lowerCamelCase					,    tie_word_embeddings=__lowerCamelCase					,    forced_eos_token_id=__lowerCamelCase					,    max_length=__lowerCamelCase					,    num_beams=__lowerCamelCase					,    length_penalty=__lowerCamelCase					,    early_stopping=__lowerCamelCase					,    **__lowerCamelCase					,    )





	def 		_A					(						self							:   Dict      ):
		UpperCamelCase	:List[str]		=      copy.deepcopy(self.__dict__      )
		UpperCamelCase	:int		=      self.decoder.to_dict()
		UpperCamelCase	:Optional[Any]		=      self.__class__.model_type
		return output








# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from pathlib import Path

from .config_args import default_config_file, load_config_from_file
from .config_utils import SubcommandHelpFormatter


UpperCAmelCase_					:		int           = '''Update an existing config file with the latest defaults while maintaining the old configuration.'''

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    str   )						->     Dict:






	"""simple docstring"""



	UpperCamelCase	:Optional[int]		=      args.config_file
	if config_file is None and Path(__magic_name__   ).exists():
		UpperCamelCase	:int		=      default_config_file
	elif not Path(__magic_name__   ).exists():
		raise ValueError(f"""The passed config file located at {config_file} doesn't exist."""   )
	UpperCamelCase	:Dict		=      load_config_from_file(__magic_name__   )

	if config_file.endswith(""".json"""   ):
		config.to_json_file(__magic_name__   )
	else:
		config.to_yaml_file(__magic_name__   )
	return config_file

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    int      ,     __magic_name__   :    Optional[Any]   )						->     List[str]:






	"""simple docstring"""



	UpperCamelCase	:Union[str, Any]		=      parser.add_parser("""update"""      ,     parents=__magic_name__      ,     help=__magic_name__      ,     formatter_class=__magic_name__   )
	parser.add_argument(
	    """--config_file"""      ,     default=__magic_name__      ,     help=(
	        """The path to the config file to update. Will default to a file named default_config.yaml in the cache """
	        """location, which is the content of the environment `HF_HOME` suffixed with 'accelerate', or if you don't have """
	        """such an environment variable, your cache directory ('~/.cache' or the content of `XDG_CACHE_HOME`) suffixed """
	        """with 'huggingface'."""
	    )      ,     )

	parser.set_defaults(func=__magic_name__   )
	return parser

def   SCREAMING_SNAKE_CASE_				(				__magic_name__   :    Union[str, Any]   )						->     Union[str, Any]:






	"""simple docstring"""



	UpperCamelCase	:Tuple		=      update_config(__magic_name__   )
	print(f"""Sucessfully updated the configuration file at {config_file}."""   )
