

import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


lowerCamelCase   					=  set()
lowerCamelCase   					=  get_logger(__name__)


def 							__lowercase     (	UpperCAmelCase__ = None   ):

					"""simple docstring"""






					def decorator(UpperCAmelCase__   ):
										global _emitted_deprecation_warnings

										if inspect.isclass(UpperCAmelCase__   ):
															__lowerCAmelCase       =				deprecated_class_or_function.__init__
															__lowerCAmelCase       =				deprecated_class_or_function.__name__
										else:
															__lowerCAmelCase       =				deprecated_class_or_function
															__lowerCAmelCase       =				deprecated_function.__name__
															# Support deprecating __init__ class method: class name instead
															__lowerCAmelCase       =				name if name != '__init__' else deprecated_function.__qualname__.split('.'   )[-2]

										__lowerCAmelCase       =				(
										    F"""{name} is deprecated and will be removed in the next major version of datasets.""" + F""" {help_message}"""
										    if help_message
										    else ''
										)

										@wraps(UpperCAmelCase__   )
										def wrapper(*UpperCAmelCase__		,       **UpperCAmelCase__   ):
															__lowerCAmelCase       =				hash(UpperCAmelCase__   )
															if func_hash not in _emitted_deprecation_warnings:
																				warnings.warn(UpperCAmelCase__		,       category=UpperCAmelCase__		,       stacklevel=2   )
																				_emitted_deprecation_warnings.add(UpperCAmelCase__   )
															return deprecated_function(*UpperCAmelCase__		,       **UpperCAmelCase__   )

										__lowerCAmelCase       =				'deprecated'

										if inspect.isclass(UpperCAmelCase__   ):
															__lowerCAmelCase       =				wrapper
															return deprecated_class_or_function
										else:
															return wrapper

					return decorator





class      snake_case_      (					enum.EnumMeta				):


							"""simple docstring"""





							def __getattribute__(			cls       ,    _A				):
												__lowerCAmelCase       =				super().__getattribute__(_A				)
												if isinstance(_A       ,    enum.Enum				) and obj._on_access:
																	obj._on_access()
												return obj




							def __getitem__(			cls       ,    _A				):
												__lowerCAmelCase       =				super().__getitem__(_A				)
												if member._on_access:
																	member._on_access()
												return member




							def __call__(			cls       ,    _A       ,    _A=None       ,    *, _A=None       ,    _A=None       ,    _A=None       ,    _A=1				):
												__lowerCAmelCase       =				super().__call__(_A       ,    _A       ,    module=_A       ,    qualname=_A       ,    type=_A       ,    start=_A				)
												if isinstance(_A       ,    enum.Enum				) and obj._on_access:
																	obj._on_access()
												return obj





class      snake_case_      (					enum.Enum      ,			metaclass=_a				):


							"""simple docstring"""





							def __new__(			cls       ,    _A				):
												__lowerCAmelCase       =				object.__new__(cls				)
												__lowerCAmelCase       =				value
												__lowerCAmelCase       =				member.deprecate
												return member




							@property
							def 							A__	(			self				):
												return ""




							def 							A__	(			self				):
												__lowerCAmelCase       =				F""" {self.help_message}""" if self.help_message else ''
												warnings.warn(
												    F"""'{self.__objclass__.__name__}' is deprecated and will be removed in the next major version of datasets."""
												    + help_message       ,    _A       ,    stacklevel=3       ,    )









import copy

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


lowerCamelCase   					=  logging.get_logger(__name__)

lowerCamelCase   					=  {}





class      snake_case_      (					_a				):


							"""simple docstring"""





							__UpperCAmelCase      ="""fsmt_decoder"""




							def __init__(			self       ,    _A=0       ,    _A=0				):
												super().__init__()
												__lowerCAmelCase       =				vocab_size
												__lowerCAmelCase       =				bos_token_id





class      snake_case_      (					_a				):


							"""simple docstring"""





							__UpperCAmelCase      ="""fsmt"""
							__UpperCAmelCase      ={"""num_attention_heads""": """encoder_attention_heads""", """hidden_size""": """d_model"""}




							def __init__(			self       ,    _A=["en", "de"]       ,    _A=4_2_0_2_4       ,    _A=4_2_0_2_4       ,    _A="relu"       ,    _A=1_0_2_4       ,    _A=2_0_0       ,    _A=1_0_2_4       ,    _A=4_0_9_6       ,    _A=1_2       ,    _A=1_6       ,    _A=0.0       ,    _A=4_0_9_6       ,    _A=1_2       ,    _A=1_6       ,    _A=0.0       ,    _A=0.0       ,    _A=0.1       ,    _A=0.0       ,    _A=0.02       ,    _A=2       ,    _A=True       ,    _A=True       ,    _A=False       ,    _A=5       ,    _A=1.0       ,    _A=False       ,    _A=True       ,    _A=1       ,    _A=0       ,    _A=2       ,    _A=2       ,    **_A       ,    ):
												__lowerCAmelCase       =				langs
												__lowerCAmelCase       =				src_vocab_size
												__lowerCAmelCase       =				tgt_vocab_size
												__lowerCAmelCase       =				d_model  # encoder_embed_dim and decoder_embed_dim

												__lowerCAmelCase       =				encoder_ffn_dim
												__lowerCAmelCase       =				__lowerCAmelCase       =				encoder_layers
												__lowerCAmelCase       =				encoder_attention_heads
												__lowerCAmelCase       =				encoder_layerdrop
												__lowerCAmelCase       =				decoder_layerdrop
												__lowerCAmelCase       =				decoder_ffn_dim
												__lowerCAmelCase       =				decoder_layers
												__lowerCAmelCase       =				decoder_attention_heads
												__lowerCAmelCase       =				max_position_embeddings
												__lowerCAmelCase       =				init_std  # Normal(0, this parameter)
												__lowerCAmelCase       =				activation_function

												__lowerCAmelCase       =				DecoderConfig(vocab_size=_A       ,    bos_token_id=_A				)
												if "decoder" in common_kwargs:
																	del common_kwargs["decoder"]

												__lowerCAmelCase       =				scale_embedding  # scale factor will be sqrt(d_model) if True

												# 3 Types of Dropout
												__lowerCAmelCase       =				attention_dropout
												__lowerCAmelCase       =				activation_dropout
												__lowerCAmelCase       =				dropout

												__lowerCAmelCase       =				use_cache
												super().__init__(
												    pad_token_id=_A       ,    bos_token_id=_A       ,    eos_token_id=_A       ,    decoder_start_token_id=_A       ,    is_encoder_decoder=_A       ,    tie_word_embeddings=_A       ,    forced_eos_token_id=_A       ,    max_length=_A       ,    num_beams=_A       ,    length_penalty=_A       ,    early_stopping=_A       ,    **_A       ,    )




							def 							A__	(			self				):
												__lowerCAmelCase       =				copy.deepcopy(self.__dict__				)
												__lowerCAmelCase       =				self.decoder.to_dict()
												__lowerCAmelCase       =				self.__class__.model_type
												return output






