'''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


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






def 							snake_case__				(     _A:   List[str]					)       ->      Optional[int]:

		'''simple docstring'''


		if isinstance(_A ,  _A					):
				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 							snake_case__				(     _A:   list					)       ->      Callable[[str], Any]:

		'''simple docstring'''


		lowerCAmelCase     =    {str(_A					): choice for choice in choices}
		return lambda _A					: str_to_choice.get(_A ,  _A					)






def 							snake_case__				(     *,
    _A:   Union[str, List[str]] = None ,  _A:   str = None ,  _A:   Any = dataclasses.MISSING ,  _A:   Callable[[], Any] = dataclasses.MISSING ,  _A:   dict = None ,  **_A:   List[Any] ,  )       ->      dataclasses.Field:

		'''simple docstring'''


		if metadata is None:
				# Important, don't use as default param in function signature because dict is mutable and shared across function calls
				lowerCAmelCase     =    {}
		if aliases is not None:
				lowerCAmelCase     =    aliases
		if help is not None:
				lowerCAmelCase     =    help

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






class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	Iterable[DataClassType]



			def __init__(  self			,       __lowerCAmelCase			,       **__lowerCAmelCase):




					"""simple docstring"""


					if "formatter_class" not in kwargs:
							lowerCAmelCase     =    ArgumentDefaultsHelpFormatter
					super().__init__(**__lowerCAmelCase)
					if dataclasses.is_dataclass(__lowerCAmelCase):
							lowerCAmelCase     =    [dataclass_types]
					lowerCAmelCase     =    list(__lowerCAmelCase)
					for dtype in self.dataclass_types:
							self._add_dataclass_arguments(__lowerCAmelCase)



			@staticmethod
			def 				a_			(  __lowerCAmelCase			,       __lowerCAmelCase):




					"""simple docstring"""


					lowerCAmelCase     =    f"--{field.name}"
					lowerCAmelCase     =    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			,       __lowerCAmelCase):
							raise RuntimeError(
							    """Unresolved type detected, which should have been done with the help of """
							    """`typing.get_type_hints` method by default""")

					lowerCAmelCase     =    kwargs.pop("""aliases"""			,       [])
					if isinstance(__lowerCAmelCase			,       __lowerCAmelCase):
							lowerCAmelCase     =    [aliases]

					lowerCAmelCase     =    getattr(field.type			,       """__origin__"""			,       field.type)
					if origin_type is Union or (hasattr(__lowerCAmelCase			,       """UnionType""") and isinstance(__lowerCAmelCase			,       types.UnionType)):
							if str not in field.type.__args__ and (
							    len(field.type.__args__) != 2 or type(__lowerCAmelCase) 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(__lowerCAmelCase) not in field.type.__args__:
									# filter `str` in Union
									lowerCAmelCase     =    field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
									lowerCAmelCase     =    getattr(field.type			,       """__origin__"""			,       field.type)
							elif bool not in field.type.__args__:
									# filter `NoneType` in Union (except for `Union[bool, NoneType]`)
									lowerCAmelCase     =    (
									    field.type.__args__[0] if isinstance(__lowerCAmelCase			,       field.type.__args__[1]) else field.type.__args__[1]
									)
									lowerCAmelCase     =    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)
					lowerCAmelCase     =    {}
					if origin_type is Literal or (isinstance(field.type			,       __lowerCAmelCase) and issubclass(field.type			,       __lowerCAmelCase)):
							if origin_type is Literal:
									lowerCAmelCase     =    field.type.__args__
							else:
									lowerCAmelCase     =    [x.value for x in field.type]

							lowerCAmelCase     =    make_choice_type_function(kwargs["""choices"""])

							if field.default is not dataclasses.MISSING:
									lowerCAmelCase     =    field.default
							else:
									lowerCAmelCase     =    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
							lowerCAmelCase     =    copy(__lowerCAmelCase)

							# Hack because type=bool in argparse does not behave as we want.
							lowerCAmelCase     =    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.
									lowerCAmelCase     =    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
									lowerCAmelCase     =    default
									# This tells argparse we accept 0 or 1 value after --field_name
									lowerCAmelCase     =    """?"""
									# This is the value that will get picked if we do --field_name (without value)
									lowerCAmelCase     =    True
					elif isclass(__lowerCAmelCase) and issubclass(__lowerCAmelCase			,       __lowerCAmelCase):
							lowerCAmelCase     =    field.type.__args__[0]
							lowerCAmelCase     =    """+"""
							if field.default_factory is not dataclasses.MISSING:
									lowerCAmelCase     =    field.default_factory()
							elif field.default is dataclasses.MISSING:
									lowerCAmelCase     =    True
					else:
							lowerCAmelCase     =    field.type
							if field.default is not dataclasses.MISSING:
									lowerCAmelCase     =    field.default
							elif field.default_factory is not dataclasses.MISSING:
									lowerCAmelCase     =    field.default_factory()
							else:
									lowerCAmelCase     =    True
					parser.add_argument(__lowerCAmelCase			,       *__lowerCAmelCase			,       **__lowerCAmelCase)

					# 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]):
							lowerCAmelCase     =    False
							parser.add_argument(f"--no_{field.name}"			,       action="""store_false"""			,       dest=field.name			,       **__lowerCAmelCase)



			def 				a_			(  self			,       __lowerCAmelCase):




					"""simple docstring"""


					if hasattr(__lowerCAmelCase			,       """_argument_group_name"""):
							lowerCAmelCase     =    self.add_argument_group(dtype._argument_group_name)
					else:
							lowerCAmelCase     =    self

					try:
							lowerCAmelCase     =    get_type_hints(__lowerCAmelCase)
					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, 10) and "unsupported operand type(s) for |" in str(__lowerCAmelCase):
									lowerCAmelCase     =    """.""".join(map(__lowerCAmelCase			,       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(__lowerCAmelCase):
							if not field.init:
									continue
							lowerCAmelCase     =    type_hints[field.name]
							self._parse_dataclass_field(__lowerCAmelCase			,       __lowerCAmelCase)



			def 				a_			(  self			,       __lowerCAmelCase=None			,       __lowerCAmelCase=False			,       __lowerCAmelCase=True			,       __lowerCAmelCase=None			,       __lowerCAmelCase=None			,       ):




					"""simple docstring"""


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

							if args_filename:
									args_files.append(Path(__lowerCAmelCase))
							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
									lowerCAmelCase     =    ArgumentParser()
									args_file_parser.add_argument(__lowerCAmelCase			,       type=__lowerCAmelCase			,       action="""append""")

									# Use only remaining args for further parsing (remove the args_file_flag)
									lowerCAmelCase   ,	lowerCAmelCase     =    args_file_parser.parse_known_args(args=__lowerCAmelCase)
									lowerCAmelCase     =    vars(__lowerCAmelCase).get(args_file_flag.lstrip("""-""")			,       __lowerCAmelCase)

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

							lowerCAmelCase     =    []
							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
							lowerCAmelCase     =    file_args + args if args is not None else file_args + sys.argv[1:]
					lowerCAmelCase   ,	lowerCAmelCase     =    self.parse_known_args(args=__lowerCAmelCase)
					lowerCAmelCase     =    []
					for dtype in self.dataclass_types:
							lowerCAmelCase     =    {f.name for f in dataclasses.fields(__lowerCAmelCase) if f.init}
							lowerCAmelCase     =    {k: v for k, v in vars(__lowerCAmelCase).items() if k in keys}
							for k in keys:
									delattr(__lowerCAmelCase			,       __lowerCAmelCase)
							lowerCAmelCase     =    dtype(**__lowerCAmelCase)
							outputs.append(__lowerCAmelCase)
					if len(namespace.__dict__) > 0:
							# additional namespace.
							outputs.append(__lowerCAmelCase)
					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 				a_			(  self			,       __lowerCAmelCase			,       __lowerCAmelCase = False):




					"""simple docstring"""


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



			def 				a_			(  self			,       __lowerCAmelCase			,       __lowerCAmelCase = False):




					"""simple docstring"""


					with open(Path(__lowerCAmelCase)			,       encoding="""utf-8""") as open_json_file:
							lowerCAmelCase     =    json.loads(open_json_file.read())
					lowerCAmelCase     =    self.parse_dict(__lowerCAmelCase			,       allow_extra_keys=__lowerCAmelCase)
					return tuple(__lowerCAmelCase)







			def 				a_			(  self			,       __lowerCAmelCase			,       __lowerCAmelCase = False):




					"""simple docstring"""


					lowerCAmelCase     =    self.parse_dict(yaml.safe_load(Path(__lowerCAmelCase).read_text())			,       allow_extra_keys=__lowerCAmelCase)
					return tuple(__lowerCAmelCase)





'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig


__lowercase        =    {
    '''albert-base-v1''': '''https://huggingface.co/albert-base-v1/resolve/main/config.json''',
    '''albert-large-v1''': '''https://huggingface.co/albert-large-v1/resolve/main/config.json''',
    '''albert-xlarge-v1''': '''https://huggingface.co/albert-xlarge-v1/resolve/main/config.json''',
    '''albert-xxlarge-v1''': '''https://huggingface.co/albert-xxlarge-v1/resolve/main/config.json''',
    '''albert-base-v2''': '''https://huggingface.co/albert-base-v2/resolve/main/config.json''',
    '''albert-large-v2''': '''https://huggingface.co/albert-large-v2/resolve/main/config.json''',
    '''albert-xlarge-v2''': '''https://huggingface.co/albert-xlarge-v2/resolve/main/config.json''',
    '''albert-xxlarge-v2''': '''https://huggingface.co/albert-xxlarge-v2/resolve/main/config.json''',
}






class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			UpperCAmelCase_     :	List[str]						=			'''albert'''



			def __init__(  self			,       __lowerCAmelCase=30000			,       __lowerCAmelCase=128			,       __lowerCAmelCase=4096			,       __lowerCAmelCase=12			,       __lowerCAmelCase=1			,       __lowerCAmelCase=64			,       __lowerCAmelCase=16384			,       __lowerCAmelCase=1			,       __lowerCAmelCase="gelu_new"			,       __lowerCAmelCase=0			,       __lowerCAmelCase=0			,       __lowerCAmelCase=512			,       __lowerCAmelCase=2			,       __lowerCAmelCase=0.02			,       __lowerCAmelCase=1E-1_2			,       __lowerCAmelCase=0.1			,       __lowerCAmelCase="absolute"			,       __lowerCAmelCase=0			,       __lowerCAmelCase=2			,       __lowerCAmelCase=3			,       **__lowerCAmelCase			,       ):




					"""simple docstring"""


					super().__init__(pad_token_id=__lowerCAmelCase			,       bos_token_id=__lowerCAmelCase			,       eos_token_id=__lowerCAmelCase			,       **__lowerCAmelCase)

					lowerCAmelCase     =    vocab_size
					lowerCAmelCase     =    embedding_size
					lowerCAmelCase     =    hidden_size
					lowerCAmelCase     =    num_hidden_layers
					lowerCAmelCase     =    num_hidden_groups
					lowerCAmelCase     =    num_attention_heads
					lowerCAmelCase     =    inner_group_num
					lowerCAmelCase     =    hidden_act
					lowerCAmelCase     =    intermediate_size
					lowerCAmelCase     =    hidden_dropout_prob
					lowerCAmelCase     =    attention_probs_dropout_prob
					lowerCAmelCase     =    max_position_embeddings
					lowerCAmelCase     =    type_vocab_size
					lowerCAmelCase     =    initializer_range
					lowerCAmelCase     =    layer_norm_eps
					lowerCAmelCase     =    classifier_dropout_prob
					lowerCAmelCase     =    position_embedding_type







class 							a__(   lowerCAmelCase__      ):


			'''simple docstring'''






			@property
			def 				a_			(  self):




					"""simple docstring"""


					if self.task == "multiple-choice":
							lowerCAmelCase     =    {0: """batch""", 1: """choice""", 2: """sequence"""}
					else:
							lowerCAmelCase     =    {0: """batch""", 1: """sequence"""}
					return OrderedDict(
					    [
					        ("""input_ids""", dynamic_axis),
					        ("""attention_mask""", dynamic_axis),
					        ("""token_type_ids""", dynamic_axis),
					    ])




