"""simple docstring"""





import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


lowerCAmelCase_     =	NewType('''DataClass''', Any)
lowerCAmelCase_     =	NewType('''DataClassType''', Any)



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    Any:
							if isinstance(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  ):
														return v
							if v.lower() in ("yes", "true", "t", "y", "1"):
														return True
							elif v.lower() in ("no", "false", "f", "n", "0"):
														return False
							else:
														raise ArgumentTypeError(
														    F"""Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive)."""  )



def      lowerCamelCase_(__SCREAMING_SNAKE_CASE  )->    Callable[[str], Any]:
							_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    {str(__SCREAMING_SNAKE_CASE  ): choice for choice in choices}
							return lambda __SCREAMING_SNAKE_CASE  : str_to_choice.get(__SCREAMING_SNAKE_CASE     ,	__SCREAMING_SNAKE_CASE  )



def      lowerCamelCase_(*,
    __SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = None     ,	__SCREAMING_SNAKE_CASE = dataclasses.MISSING     ,	__SCREAMING_SNAKE_CASE = dataclasses.MISSING     ,	__SCREAMING_SNAKE_CASE = None     ,	**__SCREAMING_SNAKE_CASE     ,	)->    dataclasses.Field:
							if metadata is None:
														# Important, don't use as default param in function signature because dict is mutable and shared across function calls
														_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    {}
							if aliases is not None:
														_SCREAMING_SNAKE_CASE		:						Dict			  =    aliases
							if help is not None:
														_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    help

							return dataclasses.field(metadata=__SCREAMING_SNAKE_CASE     ,	default=__SCREAMING_SNAKE_CASE     ,	default_factory=__SCREAMING_SNAKE_CASE     ,	**__SCREAMING_SNAKE_CASE  )




class  _snake_case		(    __snake_case ):







				"""simple docstring"""






				a			=						42





				def __init__(      self							:							Union[str, Any]      ,    _A							:							Union[DataClassType, Iterable[DataClassType]]      ,    **_A							:							str):



											"""simple docstring"""







											if "formatter_class" not in kwargs:
																		_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    ArgumentDefaultsHelpFormatter
											super().__init__(**_A)
											if dataclasses.is_dataclass(_A):
																		_SCREAMING_SNAKE_CASE		:						List[str]			  =    [dataclass_types]
											_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    list(_A)
											for dtype in self.dataclass_types:
																		self._add_dataclass_arguments(_A)





				@staticmethod
				def 		_lowerCAmelCase		(      _A							:							ArgumentParser      ,    _A							:							dataclasses.Field):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Any			  =    f"""--{field.name}"""
											_SCREAMING_SNAKE_CASE		:						int			  =    field.metadata.copy()
											# field.metadata is not used at all by Data Classes,
											# it is provided as a third-party extension mechanism.
											if isinstance(field.type      ,    _A):
																		raise RuntimeError(
																		    """Unresolved type detected, which should have been done with the help of """
																		    """`typing.get_type_hints` method by default""")

											_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    kwargs.pop("""aliases"""      ,    [])
											if isinstance(_A      ,    _A):
																		_SCREAMING_SNAKE_CASE		:						int			  =    [aliases]

											_SCREAMING_SNAKE_CASE		:						Tuple			  =    getattr(field.type      ,    """__origin__"""      ,    field.type)
											if origin_type is Union or (hasattr(_A      ,    """UnionType""") and isinstance(_A      ,    types.UnionType)):
																		if str not in field.type.__args__ and (
																		    len(field.type.__args__) != 2 or type(_A) not in field.type.__args__
																		):
																									raise ValueError(
																									    """Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"""
																									    """ the argument parser only supports one type per argument."""
																									    f""" Problem encountered in field '{field.name}'.""")
																		if type(_A) not in field.type.__args__:
																									# filter `str` in Union
																									_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
																									_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    getattr(field.type      ,    """__origin__"""      ,    field.type)
																		elif bool not in field.type.__args__:
																									# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
																									_SCREAMING_SNAKE_CASE		:						int			  =    (
																									    field.type.__args__[0] if isinstance(_A      ,    field.type.__args__[1]) else field.type.__args__[1]
																									)
																									_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    getattr(field.type      ,    """__origin__"""      ,    field.type)

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    {}
											if origin_type is Literal or (isinstance(field.type      ,    _A) and issubclass(field.type      ,    _A)):
																		if origin_type is Literal:
																									_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    field.type.__args__
																		else:
																									_SCREAMING_SNAKE_CASE		:						int			  =    [x.value for x in field.type]

																		_SCREAMING_SNAKE_CASE		:						List[str]			  =    make_choice_type_function(kwargs["""choices"""])

																		if field.default is not dataclasses.MISSING:
																									_SCREAMING_SNAKE_CASE		:						Any			  =    field.default
																		else:
																									_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    True
											elif field.type is bool or field.type == Optional[bool]:
																		# Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
																		# We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
																		_SCREAMING_SNAKE_CASE		:						int			  =    copy(_A)

																		# Hack because type=bool in argparse does not behave as we want.
																		_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    string_to_bool
																		if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
																									# Default value is False if we have no default when of type bool.
																									_SCREAMING_SNAKE_CASE		:						Dict			  =    False if field.default is dataclasses.MISSING else field.default
																									# This is the value that will get picked if we don't include --field_name in any way
																									_SCREAMING_SNAKE_CASE		:						str			  =    default
																									# This tells argparse we accept 0 or 1 value after --field_name
																									_SCREAMING_SNAKE_CASE		:						str			  =    """?"""
																									# This is the value that will get picked if we do --field_name (without value)
																									_SCREAMING_SNAKE_CASE		:						List[Any]			  =    True
											elif isclass(_A) and issubclass(_A      ,    _A):
																		_SCREAMING_SNAKE_CASE		:						Tuple			  =    field.type.__args__[0]
																		_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    """+"""
																		if field.default_factory is not dataclasses.MISSING:
																									_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    field.default_factory()
																		elif field.default is dataclasses.MISSING:
																									_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    True
											else:
																		_SCREAMING_SNAKE_CASE		:						List[str]			  =    field.type
																		if field.default is not dataclasses.MISSING:
																									_SCREAMING_SNAKE_CASE		:						int			  =    field.default
																		elif field.default_factory is not dataclasses.MISSING:
																									_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    field.default_factory()
																		else:
																									_SCREAMING_SNAKE_CASE		:						Any			  =    True
											parser.add_argument(_A      ,    *_A      ,    **_A)

											# Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
											# Order is important for arguments with the same destination!
											# We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
											# here and we do not need those changes/additional keys.
											if field.default is True and (field.type is bool or field.type == Optional[bool]):
																		_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    False
																		parser.add_argument(f"""--no_{field.name}"""      ,    action="""store_false"""      ,    dest=field.name      ,    **_A)





				def 		_lowerCAmelCase		(      self							:							Optional[Any]      ,    _A							:							DataClassType):



											"""simple docstring"""







											if hasattr(_A      ,    """_argument_group_name"""):
																		_SCREAMING_SNAKE_CASE		:						List[str]			  =    self.add_argument_group(dtype._argument_group_name)
											else:
																		_SCREAMING_SNAKE_CASE		:						str			  =    self

											try:
																		_SCREAMING_SNAKE_CASE		:						Dict[str, type]			  =    get_type_hints(_A)
											except NameError:
																		raise RuntimeError(
																		    f"""Type resolution failed for {dtype}. Try declaring the class in global scope or """
																		    """removing line of `from __future__ import annotations` which opts in Postponed """
																		    """Evaluation of Annotations (PEP 563)""")
											except TypeError as ex:
																		# Remove this block when we drop Python 3.9 support
																		if sys.version_info[:2] < (3, 1_0) and "unsupported operand type(s) for |" in str(_A):
																									_SCREAMING_SNAKE_CASE		:						List[str]			  =    """.""".join(map(_A      ,    sys.version_info[:3]))
																									raise RuntimeError(
																									    f"""Type resolution failed for {dtype} on Python {python_version}. Try removing """
																									    """line of `from __future__ import annotations` which opts in union types as """
																									    """`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To """
																									    """support Python versions that lower than 3.10, you need to use """
																									    """`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of """
																									    """`X | None`.""") from ex
																		raise

											for field in dataclasses.fields(_A):
																		if not field.init:
																									continue
																		_SCREAMING_SNAKE_CASE		:						Any			  =    type_hints[field.name]
																		self._parse_dataclass_field(_A      ,    _A)





				def 		_lowerCAmelCase		(      self							:							Any      ,    _A							:							Union[str, Any]=None      ,    _A							:							Union[str, Any]=False      ,    _A							:							Union[str, Any]=True      ,    _A							:							Union[str, Any]=None      ,    _A							:							int=None      ,    ):



											"""simple docstring"""







											if args_file_flag or args_filename or (look_for_args_file and len(sys.argv)):
																		_SCREAMING_SNAKE_CASE		:						List[str]			  =    []

																		if args_filename:
																									args_files.append(Path(_A))
																		elif look_for_args_file and len(sys.argv):
																									args_files.append(Path(sys.argv[0]).with_suffix(""".args"""))

																		# args files specified via command line flag should overwrite default args files so we add them last
																		if args_file_flag:
																									# Create special parser just to extract the args_file_flag values
																									_SCREAMING_SNAKE_CASE		:						int			  =    ArgumentParser()
																									args_file_parser.add_argument(_A      ,    type=_A      ,    action="""append""")

																									# Use only remaining args for further parsing (remove the args_file_flag)
																									_SCREAMING_SNAKE_CASE  ,				_SCREAMING_SNAKE_CASE		:						Any			  =    args_file_parser.parse_known_args(args=_A)
																									_SCREAMING_SNAKE_CASE		:						List[str]			  =    vars(_A).get(args_file_flag.lstrip("""-""")      ,    _A)

																									if cmd_args_file_paths:
																																args_files.extend([Path(_A) for p in cmd_args_file_paths])

																		_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    []
																		for args_file in args_files:
																									if args_file.exists():
																																file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
																		_SCREAMING_SNAKE_CASE		:						str			  =    file_args + args if args is not None else file_args + sys.argv[1:]
											_SCREAMING_SNAKE_CASE  ,				_SCREAMING_SNAKE_CASE		:						int			  =    self.parse_known_args(args=_A)
											_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    []
											for dtype in self.dataclass_types:
																		_SCREAMING_SNAKE_CASE		:						Dict			  =    {f.name for f in dataclasses.fields(_A) if f.init}
																		_SCREAMING_SNAKE_CASE		:						List[str]			  =    {k: v for k, v in vars(_A).items() if k in keys}
																		for k in keys:
																									delattr(_A      ,    _A)
																		_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    dtype(**_A)
																		outputs.append(_A)
											if len(namespace.__dict__) > 0:
																		# additional namespace.
																		outputs.append(_A)
											if return_remaining_strings:
																		return (*outputs, remaining_args)
											else:
																		if remaining_args:
																									raise ValueError(f"""Some specified arguments are not used by the HfArgumentParser: {remaining_args}""")

																		return (*outputs,)





				def 		_lowerCAmelCase		(      self							:							List[Any]      ,    _A							:							Dict[str, Any]      ,    _A							:							bool = False):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						str			  =    set(args.keys())
											_SCREAMING_SNAKE_CASE		:						Dict			  =    []
											for dtype in self.dataclass_types:
																		_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    {f.name for f in dataclasses.fields(_A) if f.init}
																		_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    {k: v for k, v in args.items() if k in keys}
																		unused_keys.difference_update(inputs.keys())
																		_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    dtype(**_A)
																		outputs.append(_A)
											if not allow_extra_keys and unused_keys:
																		raise ValueError(f"""Some keys are not used by the HfArgumentParser: {sorted(_A)}""")
											return tuple(_A)





				def 		_lowerCAmelCase		(      self							:							Optional[int]      ,    _A							:							str      ,    _A							:							bool = False):



											"""simple docstring"""







											with open(Path(_A)      ,    encoding="""utf-8""") as open_json_file:
																		_SCREAMING_SNAKE_CASE		:						List[str]			  =    json.loads(open_json_file.read())
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    self.parse_dict(_A      ,    allow_extra_keys=_A)
											return tuple(_A)





				def 		_lowerCAmelCase		(      self							:							Dict      ,    _A							:							str      ,    _A							:							bool = False):



											"""simple docstring"""







											_SCREAMING_SNAKE_CASE		:						Optional[Any]			  =    self.parse_dict(yaml.safe_load(Path(_A).read_text())      ,    allow_extra_keys=_A)
											return tuple(_A)



"""simple docstring"""





import functools
import operator

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


lowerCAmelCase_     =	logging.get_logger(__name__)

lowerCAmelCase_     =	{
    '''asapp/sew-tiny-100k''': '''https://huggingface.co/asapp/sew-tiny-100k/resolve/main/config.json''',
    # See all SEW models at https://huggingface.co/models?filter=sew
}




class  _snake_case		(    __snake_case ):







				"""simple docstring"""






				a			=						"sew"





				def __init__(      self							:							List[Any]      ,    _A							:							Tuple=3_2      ,    _A							:							str=7_6_8      ,    _A							:							Dict=1_2      ,    _A							:							Tuple=1_2      ,    _A							:							Optional[Any]=3_0_7_2      ,    _A							:							List[str]=2      ,    _A							:							Dict="gelu"      ,    _A							:							Union[str, Any]=0.1      ,    _A							:							Optional[int]=0.1      ,    _A							:							Optional[int]=0.1      ,    _A							:							Optional[int]=0.0      ,    _A							:							str=0.1      ,    _A							:							Tuple=0.1      ,    _A							:							Optional[int]=0.02      ,    _A							:							Dict=1e-5      ,    _A							:							str="group"      ,    _A							:							Tuple="gelu"      ,    _A							:							Union[str, Any]=(6_4, 1_2_8, 1_2_8, 1_2_8, 1_2_8, 2_5_6, 2_5_6, 2_5_6, 2_5_6, 5_1_2, 5_1_2, 5_1_2, 5_1_2)      ,    _A							:							Optional[Any]=(5, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1)      ,    _A							:							Any=(1_0, 3, 1, 3, 1, 3, 1, 3, 1, 2, 1, 2, 1)      ,    _A							:							Tuple=False      ,    _A							:							Tuple=1_2_8      ,    _A							:							int=1_6      ,    _A							:							Union[str, Any]=True      ,    _A							:							Optional[Any]=0.05      ,    _A							:							List[Any]=1_0      ,    _A							:							Union[str, Any]=2      ,    _A							:							Tuple=0.0      ,    _A							:							Union[str, Any]=1_0      ,    _A							:							Optional[int]=0      ,    _A							:							Union[str, Any]="mean"      ,    _A							:							Optional[int]=False      ,    _A							:							List[Any]=False      ,    _A							:							int=2_5_6      ,    _A							:							str=0      ,    _A							:							Optional[int]=1      ,    _A							:							List[Any]=2      ,    **_A							:							Dict      ,    ):



											"""simple docstring"""







											super().__init__(**_A      ,    pad_token_id=_A      ,    bos_token_id=_A      ,    eos_token_id=_A)
											_SCREAMING_SNAKE_CASE		:						str			  =    hidden_size
											_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    feat_extract_norm
											_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    feat_extract_activation
											_SCREAMING_SNAKE_CASE		:						Dict			  =    list(_A)
											_SCREAMING_SNAKE_CASE		:						int			  =    list(_A)
											_SCREAMING_SNAKE_CASE		:						int			  =    list(_A)
											_SCREAMING_SNAKE_CASE		:						str			  =    conv_bias
											_SCREAMING_SNAKE_CASE		:						Tuple			  =    num_conv_pos_embeddings
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    num_conv_pos_embedding_groups
											_SCREAMING_SNAKE_CASE		:						Tuple			  =    len(self.conv_dim)
											_SCREAMING_SNAKE_CASE		:						Tuple			  =    num_hidden_layers
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    intermediate_size
											_SCREAMING_SNAKE_CASE		:						str			  =    squeeze_factor
											_SCREAMING_SNAKE_CASE		:						Dict			  =    hidden_act
											_SCREAMING_SNAKE_CASE		:						str			  =    num_attention_heads
											_SCREAMING_SNAKE_CASE		:						Dict			  =    hidden_dropout
											_SCREAMING_SNAKE_CASE		:						Tuple			  =    attention_dropout
											_SCREAMING_SNAKE_CASE		:						int			  =    activation_dropout
											_SCREAMING_SNAKE_CASE		:						Any			  =    feat_proj_dropout
											_SCREAMING_SNAKE_CASE		:						str			  =    final_dropout
											_SCREAMING_SNAKE_CASE		:						Union[str, Any]			  =    layerdrop
											_SCREAMING_SNAKE_CASE		:						Any			  =    layer_norm_eps
											_SCREAMING_SNAKE_CASE		:						int			  =    initializer_range
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    vocab_size

											if (
											    (len(self.conv_stride) != self.num_feat_extract_layers)
											    or (len(self.conv_kernel) != self.num_feat_extract_layers)
											    or (len(self.conv_dim) != self.num_feat_extract_layers)
											):
																		raise ValueError(
																		    """Configuration for convolutional layers is incorrect."""
																		    """It is required that `len(config.conv_dim)` == `len(config.conv_stride)` == `len(config.conv_kernel)`,"""
																		    f"""but is `len(config.conv_dim) = {len(self.conv_dim)}`, `len(config.conv_stride)"""
																		    f"""= {len(self.conv_stride)}`, `len(config.conv_kernel) = {len(self.conv_kernel)}`.""")

											# fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    apply_spec_augment
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    mask_time_prob
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    mask_time_length
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    mask_time_min_masks
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    mask_feature_prob
											_SCREAMING_SNAKE_CASE		:						int			  =    mask_feature_length
											_SCREAMING_SNAKE_CASE		:						List[Any]			  =    mask_feature_min_masks

											# ctc loss
											_SCREAMING_SNAKE_CASE		:						int			  =    ctc_loss_reduction
											_SCREAMING_SNAKE_CASE		:						Optional[int]			  =    ctc_zero_infinity

											# sequence classification
											_SCREAMING_SNAKE_CASE		:						Dict			  =    use_weighted_layer_sum
											_SCREAMING_SNAKE_CASE		:						List[str]			  =    classifier_proj_size





				@property
				def 		_lowerCAmelCase		(      self							:							Any):



											"""simple docstring"""







											return functools.reduce(operator.mul      ,    self.conv_stride      ,    1)


