

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase__		      =       {
    """configuration_longformer""": [
        """LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """LongformerConfig""",
        """LongformerOnnxConfig""",
    ],
    """tokenization_longformer""": ["""LongformerTokenizer"""],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase__		      =       ["""LongformerTokenizerFast"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase__		      =       [
	    """LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """LongformerForMaskedLM""",
	    """LongformerForMultipleChoice""",
	    """LongformerForQuestionAnswering""",
	    """LongformerForSequenceClassification""",
	    """LongformerForTokenClassification""",
	    """LongformerModel""",
	    """LongformerPreTrainedModel""",
	    """LongformerSelfAttention""",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase__		      =       [
	    """TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TFLongformerForMaskedLM""",
	    """TFLongformerForMultipleChoice""",
	    """TFLongformerForQuestionAnswering""",
	    """TFLongformerForSequenceClassification""",
	    """TFLongformerForTokenClassification""",
	    """TFLongformerModel""",
	    """TFLongformerPreTrainedModel""",
	    """TFLongformerSelfAttention""",
	]


if TYPE_CHECKING:
	from .configuration_longformer import (
	    LONGFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    LongformerConfig,
	    LongformerOnnxConfig,
	)
	from .tokenization_longformer import LongformerTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_longformer_fast import LongformerTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_longformer import (
		    LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    LongformerForMaskedLM,
		    LongformerForMultipleChoice,
		    LongformerForQuestionAnswering,
		    LongformerForSequenceClassification,
		    LongformerForTokenClassification,
		    LongformerModel,
		    LongformerPreTrainedModel,
		    LongformerSelfAttention,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_longformer import (
		    TF_LONGFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFLongformerForMaskedLM,
		    TFLongformerForMultipleChoice,
		    TFLongformerForQuestionAnswering,
		    TFLongformerForSequenceClassification,
		    TFLongformerForTokenClassification,
		    TFLongformerModel,
		    TFLongformerPreTrainedModel,
		    TFLongformerSelfAttention,
		)

else:
	import sys

	lowerCAmelCase__		      =       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)



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


__snake_case								=  NewType("""DataClass""", Any)
__snake_case								=  NewType("""DataClassType""", Any)






def 							_lowercase							(     UpperCamelCase_		)		->		int:
					'''simple docstring'''


					if isinstance(UpperCamelCase_	,	UpperCamelCase_		):
										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 							_lowercase							(     UpperCamelCase_		)		->		Callable[[str], Any]:
					'''simple docstring'''


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






def 							_lowercase							(     *,
    UpperCamelCase_ = None	,	UpperCamelCase_ = None	,	UpperCamelCase_ = dataclasses.MISSING	,	UpperCamelCase_ = dataclasses.MISSING	,	UpperCamelCase_ = None	,	**UpperCamelCase_	,	)		->		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
										SCREAMING_SNAKE_CASE__													= {}
					if aliases is not None:
										SCREAMING_SNAKE_CASE__													= aliases
					if help is not None:
										SCREAMING_SNAKE_CASE__													= help

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




class 						lowercase__  (						_UpperCAmelCase  ):
	A__    :   Iterable[DataClassType]
	def __init__(			self							:   Union[str, Any]       ,   UpperCAmelCase_							:   Union[DataClassType, Iterable[DataClassType]]       ,   **UpperCAmelCase_							:   Optional[Any]							):
						# To make the default appear when using --help
						if "formatter_class" not in kwargs:
											SCREAMING_SNAKE_CASE__													= ArgumentDefaultsHelpFormatter
						super().__init__(**UpperCAmelCase_							)
						if dataclasses.is_dataclass(UpperCAmelCase_							):
											SCREAMING_SNAKE_CASE__													= [dataclass_types]
						SCREAMING_SNAKE_CASE__													= list(UpperCAmelCase_							)
						for dtype in self.dataclass_types:
											self._add_dataclass_arguments(UpperCAmelCase_							)
	@staticmethod
	def      A_				(			UpperCAmelCase_							:   ArgumentParser       ,   UpperCAmelCase_							:   dataclasses.Field							):
						SCREAMING_SNAKE_CASE__													= F'--{field.name}'
						SCREAMING_SNAKE_CASE__													= 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       ,   UpperCAmelCase_							):
											raise RuntimeError(
											    'Unresolved type detected, which should have been done with the help of '
											    '`typing.get_type_hints` method by default'							)

						SCREAMING_SNAKE_CASE__													= kwargs.pop('aliases'       ,   []							)
						if isinstance(UpperCAmelCase_       ,   UpperCAmelCase_							):
											SCREAMING_SNAKE_CASE__													= [aliases]

						SCREAMING_SNAKE_CASE__													= getattr(field.type       ,   '__origin__'       ,   field.type							)
						if origin_type is Union or (hasattr(UpperCAmelCase_       ,   'UnionType'							) and isinstance(UpperCAmelCase_       ,   types.UnionType							)):
											if str not in field.type.__args__ and (
											    len(field.type.__args__							) != 2 or type(UpperCAmelCase_							) 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(UpperCAmelCase_							) not in field.type.__args__:
																# filter `str` in Union
																SCREAMING_SNAKE_CASE__													= field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
																SCREAMING_SNAKE_CASE__													= 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__													= (
																    field.type.__args__[0] if isinstance(UpperCAmelCase_       ,   field.type.__args__[1]							) else field.type.__args__[1]
																)
																SCREAMING_SNAKE_CASE__													= 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__													= {}
						if origin_type is Literal or (isinstance(field.type       ,   UpperCAmelCase_							) and issubclass(field.type       ,   UpperCAmelCase_							)):
											if origin_type is Literal:
																SCREAMING_SNAKE_CASE__													= field.type.__args__
											else:
																SCREAMING_SNAKE_CASE__													= [x.value for x in field.type]

											SCREAMING_SNAKE_CASE__													= make_choice_type_function(kwargs['choices']							)

											if field.default is not dataclasses.MISSING:
																SCREAMING_SNAKE_CASE__													= field.default
											else:
																SCREAMING_SNAKE_CASE__													= 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__													= copy(UpperCAmelCase_							)

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

						# 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__													= False
											parser.add_argument(F'--no_{field.name}'       ,   action='store_false'       ,   dest=field.name       ,   **UpperCAmelCase_							)
	def      A_				(			self							:   List[Any]       ,   UpperCAmelCase_							:   DataClassType							):
						if hasattr(UpperCAmelCase_       ,   '_argument_group_name'							):
											SCREAMING_SNAKE_CASE__													= self.add_argument_group(dtype._argument_group_name							)
						else:
											SCREAMING_SNAKE_CASE__													= self

						try:
											SCREAMING_SNAKE_CASE__													= get_type_hints(UpperCAmelCase_							)
						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(UpperCAmelCase_							):
																SCREAMING_SNAKE_CASE__													= '.'.join(map(UpperCAmelCase_       ,   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(UpperCAmelCase_							):
											if not field.init:
																continue
											SCREAMING_SNAKE_CASE__													= type_hints[field.name]
											self._parse_dataclass_field(UpperCAmelCase_       ,   UpperCAmelCase_							)
	def      A_				(			self							:   Dict       ,   UpperCAmelCase_							:   Any=None       ,   UpperCAmelCase_							:   List[Any]=False       ,   UpperCAmelCase_							:   Dict=True       ,   UpperCAmelCase_							:   str=None       ,   UpperCAmelCase_							:   str=None       ,   ):

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

											if args_filename:
																args_files.append(Path(UpperCAmelCase_							)							)
											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__													= ArgumentParser()
																args_file_parser.add_argument(UpperCAmelCase_       ,   type=UpperCAmelCase_       ,   action='append'							)

																# Use only remaining args for further parsing (remove the args_file_flag)
																SCREAMING_SNAKE_CASE__						, SCREAMING_SNAKE_CASE__													= args_file_parser.parse_known_args(args=UpperCAmelCase_							)
																SCREAMING_SNAKE_CASE__													= vars(UpperCAmelCase_							).get(args_file_flag.lstrip('-'							)       ,   UpperCAmelCase_							)

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

											SCREAMING_SNAKE_CASE__													= []
											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__													= file_args + args if args is not None else file_args + sys.argv[1:]
						SCREAMING_SNAKE_CASE__						, SCREAMING_SNAKE_CASE__													= self.parse_known_args(args=UpperCAmelCase_							)
						SCREAMING_SNAKE_CASE__													= []
						for dtype in self.dataclass_types:
											SCREAMING_SNAKE_CASE__													= {f.name for f in dataclasses.fields(UpperCAmelCase_							) if f.init}
											SCREAMING_SNAKE_CASE__													= {k: v for k, v in vars(UpperCAmelCase_							).items() if k in keys}
											for k in keys:
																delattr(UpperCAmelCase_       ,   UpperCAmelCase_							)
											SCREAMING_SNAKE_CASE__													= dtype(**UpperCAmelCase_							)
											outputs.append(UpperCAmelCase_							)
						if len(namespace.__dict__							) > 0:
											# additional namespace.
											outputs.append(UpperCAmelCase_							)
						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							:   str       ,   UpperCAmelCase_							:   Dict[str, Any]       ,   UpperCAmelCase_							:   bool = False							):
						SCREAMING_SNAKE_CASE__													= set(args.keys()							)
						SCREAMING_SNAKE_CASE__													= []
						for dtype in self.dataclass_types:
											SCREAMING_SNAKE_CASE__													= {f.name for f in dataclasses.fields(UpperCAmelCase_							) if f.init}
											SCREAMING_SNAKE_CASE__													= {k: v for k, v in args.items() if k in keys}
											unused_keys.difference_update(inputs.keys()							)
											SCREAMING_SNAKE_CASE__													= dtype(**UpperCAmelCase_							)
											outputs.append(UpperCAmelCase_							)
						if not allow_extra_keys and unused_keys:
											raise ValueError(F'Some keys are not used by the HfArgumentParser: {sorted(UpperCAmelCase_							)}'							)
						return tuple(UpperCAmelCase_							)
	def      A_				(			self							:   Tuple       ,   UpperCAmelCase_							:   str       ,   UpperCAmelCase_							:   bool = False							):
						with open(Path(UpperCAmelCase_							)       ,   encoding='utf-8'							) as open_json_file:
											SCREAMING_SNAKE_CASE__													= json.loads(open_json_file.read()							)
						SCREAMING_SNAKE_CASE__													= self.parse_dict(UpperCAmelCase_       ,   allow_extra_keys=UpperCAmelCase_							)
						return tuple(UpperCAmelCase_							)





	def      A_				(			self							:   Tuple       ,   UpperCAmelCase_							:   str       ,   UpperCAmelCase_							:   bool = False							):
						SCREAMING_SNAKE_CASE__													= self.parse_dict(yaml.safe_load(Path(UpperCAmelCase_							).read_text()							)       ,   allow_extra_keys=UpperCAmelCase_							)
						return tuple(UpperCAmelCase_							)





