
'''simple docstring'''







import argparse
import json
import os
import sys
import tempfile
import unittest
from argparse import Namespace
from dataclasses import dataclass, field
from enum import Enum
from pathlib import Path
from typing import List, Literal, Optional

import yaml

from transformers import HfArgumentParser, TrainingArguments
from transformers.hf_argparser import make_choice_type_function, string_to_bool


# Since Python 3.10, we can use the builtin `|` operator for Union types
# See PEP 604: https://peps.python.org/pep-0604
_snake_case				:   Union[str, Any]     =				sys.version_info >= (3, 10)



def 			_a		(	_SCREAMING_SNAKE_CASE		:   Tuple=None	,			_SCREAMING_SNAKE_CASE		:   List[str]=None  )     ->   Union[str, Any]:
						return field(default_factory=lambda: default	,			metadata=__A  )


@dataclass
class 			lowerCAmelCase :
		a							:					Union[str, Any]       =					42
		a							:					Any       =					42
		a							:					Optional[Any]       =					42
		a							:					List[str]       =					42


@dataclass
class 			lowerCAmelCase :
		a							:					Union[str, Any]       =					42
		a							:					List[Any]       =					field(default="""toto"""		,     metadata={"""help""": """help message"""}			)


@dataclass
class 			lowerCAmelCase :
		a							:					Tuple       =					False
		a							:					str       =					True
		a							:					Tuple       =					None


class 			lowerCAmelCase (				__A			):
		a							:					Optional[Any]       =					"""titi"""
		a							:					List[Any]       =					"""toto"""


class 			lowerCAmelCase (				__A			):
		a							:					Union[str, Any]       =					"""titi"""
		a							:					Dict       =					"""toto"""
		a							:					List[str]       =					42


@dataclass
class 			lowerCAmelCase :
		a							:					List[Any]       =					"""toto"""




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= BasicEnum(self.foo      )


@dataclass
class 			lowerCAmelCase :
		a							:					int       =					"""toto"""




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= MixedTypeEnum(self.foo      )


@dataclass
class 			lowerCAmelCase :
		a							:					Any       =					None
		a							:					Optional[int]       =					field(default=__A		,     metadata={"""help""": """help message"""}			)
		a							:					List[str]       =					None
		a							:					Optional[int]       =					list_field(default=[]			)
		a							:					Tuple       =					list_field(default=[]			)


@dataclass
class 			lowerCAmelCase :
		a							:					List[str]       =					list_field(default=[]			)
		a							:					Tuple       =					list_field(default=[1, 2, 3]			)
		a							:					Any       =					list_field(default=["""Hallo""", """Bonjour""", """Hello"""]			)
		a							:					Dict       =					list_field(default=[0.1, 0.2, 0.3]			)


@dataclass
class 			lowerCAmelCase :
		a							:					Dict       =					field()
		a							:					List[Any]       =					field()
		a							:					Union[str, Any]       =					field()




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= BasicEnum(self.required_enum      )


@dataclass
class 			lowerCAmelCase :
		a							:					Dict       =					42
		a							:					Optional[Any]       =					field()
		a							:					List[str]       =					None
		a							:					Dict       =					field(default="""toto"""		,     metadata={"""help""": """help message"""}			)
		a							:					str       =					list_field(default=["""Hallo""", """Bonjour""", """Hello"""]			)


if is_python_no_less_than_3_10:


						@dataclass
						class 			lowerCAmelCase :
								a							:					Any       =					False
								a							:					Optional[Any]       =					True
								a							:					Optional[Any]       =					None


						@dataclass
						class 			lowerCAmelCase :
								a							:					Optional[int]       =					None
								a							:					Dict       =					field(default=__A		,     metadata={"""help""": """help message"""}			)
								a							:					str       =					None
								a							:					int       =					list_field(default=[]			)
								a							:					List[str]       =					list_field(default=[]			)




class 			lowerCAmelCase (				unittest.TestCase			):




		def     lowercase       (				self					,						UpperCamelCase					,						UpperCamelCase      ):
								self.assertEqual(len(a._actions      )					,						len(b._actions      )      )
								for x, y in zip(a._actions					,						b._actions      ):
														_SCREAMING_SNAKE_CASE				= {k: v for k, v in vars(UpperCamelCase      ).items() if k != '''container'''}
														_SCREAMING_SNAKE_CASE				= {k: v for k, v in vars(UpperCamelCase      ).items() if k != '''container'''}

														# Choices with mixed type have custom function as "type"
														# So we need to compare results directly for equality
														if xx.get("choices"					,						UpperCamelCase      ) and yy.get("choices"					,						UpperCamelCase      ):
																				for expected_choice in yy["choices"] + xx["choices"]:
																										self.assertEqual(xx["type"](UpperCamelCase      )					,						yy["type"](UpperCamelCase      )      )
																				del xx["type"], yy["type"]

														self.assertEqual(UpperCamelCase					,						UpperCamelCase      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= argparse.ArgumentParser()
								expected.add_argument("--foo"					,						type=UpperCamelCase					,						required=UpperCamelCase      )
								expected.add_argument("--bar"					,						type=UpperCamelCase					,						required=UpperCamelCase      )
								expected.add_argument("--baz"					,						type=UpperCamelCase					,						required=UpperCamelCase      )
								expected.add_argument("--flag"					,						type=UpperCamelCase					,						default=UpperCamelCase					,						const=UpperCamelCase					,						nargs="?"      )
								self.argparsersEqual(UpperCamelCase					,						UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= ['''--foo''', '''1''', '''--baz''', '''quux''', '''--bar''', '''0.5''']
								(_SCREAMING_SNAKE_CASE		)				= parser.parse_args_into_dataclasses(UpperCamelCase					,						look_for_args_file=UpperCamelCase      )
								self.assertFalse(example.flag      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= argparse.ArgumentParser()
								expected.add_argument("--foo"					,						default=42					,						type=UpperCamelCase      )
								expected.add_argument("--baz"					,						default="toto"					,						type=UpperCamelCase					,						help="help message"      )
								self.argparsersEqual(UpperCamelCase					,						UpperCamelCase      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= argparse.ArgumentParser()
								expected.add_argument("--foo"					,						type=UpperCamelCase					,						default=UpperCamelCase					,						const=UpperCamelCase					,						nargs="?"      )
								expected.add_argument("--baz"					,						type=UpperCamelCase					,						default=UpperCamelCase					,						const=UpperCamelCase					,						nargs="?"      )
								# A boolean no_* argument always has to come after its "default: True" regular counter-part
								# and its default must be set to False
								expected.add_argument("--no_baz"					,						action="store_false"					,						default=UpperCamelCase					,						dest="baz"      )
								expected.add_argument("--opt"					,						type=UpperCamelCase					,						default=UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= [WithDefaultBoolExample]
								if is_python_no_less_than_3_10:
														dataclass_types.append(UpperCamelCase      )

								for dataclass_type in dataclass_types:
														_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )
														self.argparsersEqual(UpperCamelCase					,						UpperCamelCase      )

														_SCREAMING_SNAKE_CASE				= parser.parse_args([]      )
														self.assertEqual(UpperCamelCase					,						Namespace(foo=UpperCamelCase					,						baz=UpperCamelCase					,						opt=UpperCamelCase      )      )

														_SCREAMING_SNAKE_CASE				= parser.parse_args(["--foo", "--no_baz"]      )
														self.assertEqual(UpperCamelCase					,						Namespace(foo=UpperCamelCase					,						baz=UpperCamelCase					,						opt=UpperCamelCase      )      )

														_SCREAMING_SNAKE_CASE				= parser.parse_args(["--foo", "--baz"]      )
														self.assertEqual(UpperCamelCase					,						Namespace(foo=UpperCamelCase					,						baz=UpperCamelCase					,						opt=UpperCamelCase      )      )

														_SCREAMING_SNAKE_CASE				= parser.parse_args(["--foo", "True", "--baz", "True", "--opt", "True"]      )
														self.assertEqual(UpperCamelCase					,						Namespace(foo=UpperCamelCase					,						baz=UpperCamelCase					,						opt=UpperCamelCase      )      )

														_SCREAMING_SNAKE_CASE				= parser.parse_args(["--foo", "False", "--baz", "False", "--opt", "False"]      )
														self.assertEqual(UpperCamelCase					,						Namespace(foo=UpperCamelCase					,						baz=UpperCamelCase					,						opt=UpperCamelCase      )      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= argparse.ArgumentParser()
								expected.add_argument(
								    "--foo"					,						default="toto"					,						choices=["titi", "toto", 42]					,						type=make_choice_type_function(["titi", "toto", 42]      )					,						)
								self.argparsersEqual(UpperCamelCase					,						UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= parser.parse_args([]      )
								self.assertEqual(args.foo					,						"toto"      )
								_SCREAMING_SNAKE_CASE				= parser.parse_args_into_dataclasses([]      )[0]
								self.assertEqual(enum_ex.foo					,						MixedTypeEnum.toto      )

								_SCREAMING_SNAKE_CASE				= parser.parse_args(["--foo", "titi"]      )
								self.assertEqual(args.foo					,						"titi"      )
								_SCREAMING_SNAKE_CASE				= parser.parse_args_into_dataclasses(["--foo", "titi"]      )[0]
								self.assertEqual(enum_ex.foo					,						MixedTypeEnum.titi      )

								_SCREAMING_SNAKE_CASE				= parser.parse_args(["--foo", "42"]      )
								self.assertEqual(args.foo					,						42      )
								_SCREAMING_SNAKE_CASE				= parser.parse_args_into_dataclasses(["--foo", "42"]      )[0]
								self.assertEqual(enum_ex.foo					,						MixedTypeEnum.fourtytwo      )




		def     lowercase       (				self      ):


								@dataclass
								class 			lowerCAmelCase :
										a							:					Optional[Any]       =					"""toto"""
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= argparse.ArgumentParser()
								expected.add_argument(
								    "--foo"					,						default="toto"					,						choices=("titi", "toto", 42)					,						type=make_choice_type_function(["titi", "toto", 42]      )					,						)
								self.argparsersEqual(UpperCamelCase					,						UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= parser.parse_args([]      )
								self.assertEqual(args.foo					,						"toto"      )

								_SCREAMING_SNAKE_CASE				= parser.parse_args(["--foo", "titi"]      )
								self.assertEqual(args.foo					,						"titi"      )

								_SCREAMING_SNAKE_CASE				= parser.parse_args(["--foo", "42"]      )
								self.assertEqual(args.foo					,						42      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= argparse.ArgumentParser()
								expected.add_argument("--foo_int"					,						nargs="+"					,						default=[]					,						type=UpperCamelCase      )
								expected.add_argument("--bar_int"					,						nargs="+"					,						default=[1, 2, 3]					,						type=UpperCamelCase      )
								expected.add_argument("--foo_str"					,						nargs="+"					,						default=["Hallo", "Bonjour", "Hello"]					,						type=UpperCamelCase      )
								expected.add_argument("--foo_float"					,						nargs="+"					,						default=[0.1, 0.2, 0.3]					,						type=UpperCamelCase      )

								self.argparsersEqual(UpperCamelCase					,						UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= parser.parse_args([]      )
								self.assertEqual(
								    UpperCamelCase					,						Namespace(foo_int=[]					,						bar_int=[1, 2, 3]					,						foo_str=["Hallo", "Bonjour", "Hello"]					,						foo_float=[0.1, 0.2, 0.3]      )					,						)

								_SCREAMING_SNAKE_CASE				= parser.parse_args("--foo_int 1 --bar_int 2 3 --foo_str a b c --foo_float 0.1 0.7".split()      )
								self.assertEqual(UpperCamelCase					,						Namespace(foo_int=[1]					,						bar_int=[2, 3]					,						foo_str=["a", "b", "c"]					,						foo_float=[0.1, 0.7]      )      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= argparse.ArgumentParser()
								expected.add_argument("--foo"					,						default=UpperCamelCase					,						type=UpperCamelCase      )
								expected.add_argument("--bar"					,						default=UpperCamelCase					,						type=UpperCamelCase					,						help="help message"      )
								expected.add_argument("--baz"					,						default=UpperCamelCase					,						type=UpperCamelCase      )
								expected.add_argument("--ces"					,						nargs="+"					,						default=[]					,						type=UpperCamelCase      )
								expected.add_argument("--des"					,						nargs="+"					,						default=[]					,						type=UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= [OptionalExample]
								if is_python_no_less_than_3_10:
														dataclass_types.append(UpperCamelCase      )

								for dataclass_type in dataclass_types:
														_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

														self.argparsersEqual(UpperCamelCase					,						UpperCamelCase      )

														_SCREAMING_SNAKE_CASE				= parser.parse_args([]      )
														self.assertEqual(UpperCamelCase					,						Namespace(foo=UpperCamelCase					,						bar=UpperCamelCase					,						baz=UpperCamelCase					,						ces=[]					,						des=[]      )      )

														_SCREAMING_SNAKE_CASE				= parser.parse_args("--foo 12 --bar 3.14 --baz 42 --ces a b c --des 1 2 3".split()      )
														self.assertEqual(UpperCamelCase					,						Namespace(foo=12					,						bar=3.14					,						baz="42"					,						ces=["a", "b", "c"]					,						des=[1, 2, 3]      )      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= argparse.ArgumentParser()
								expected.add_argument("--required_list"					,						nargs="+"					,						type=UpperCamelCase					,						required=UpperCamelCase      )
								expected.add_argument("--required_str"					,						type=UpperCamelCase					,						required=UpperCamelCase      )
								expected.add_argument(
								    "--required_enum"					,						type=make_choice_type_function(["titi", "toto"]      )					,						choices=["titi", "toto"]					,						required=UpperCamelCase					,						)
								self.argparsersEqual(UpperCamelCase					,						UpperCamelCase      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= argparse.ArgumentParser()
								expected.add_argument("--foo"					,						type=UpperCamelCase					,						required=UpperCamelCase      )
								expected.add_argument(
								    "--required_enum"					,						type=make_choice_type_function(["titi", "toto"]      )					,						choices=["titi", "toto"]					,						required=UpperCamelCase					,						)
								expected.add_argument("--opt"					,						type=UpperCamelCase					,						default=UpperCamelCase      )
								expected.add_argument("--baz"					,						default="toto"					,						type=UpperCamelCase					,						help="help message"      )
								expected.add_argument("--foo_str"					,						nargs="+"					,						default=["Hallo", "Bonjour", "Hello"]					,						type=UpperCamelCase      )
								self.argparsersEqual(UpperCamelCase					,						UpperCamelCase      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= {
								    '''foo''': 12,
								    '''bar''': 3.14,
								    '''baz''': '''42''',
								    '''flag''': True,
								}

								_SCREAMING_SNAKE_CASE				= parser.parse_dict(UpperCamelCase      )[0]
								_SCREAMING_SNAKE_CASE				= BasicExample(**UpperCamelCase      )
								self.assertEqual(UpperCamelCase					,						UpperCamelCase      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= {
								    '''foo''': 12,
								    '''bar''': 3.14,
								    '''baz''': '''42''',
								    '''flag''': True,
								    '''extra''': 42,
								}

								self.assertRaises(UpperCamelCase					,						parser.parse_dict					,						UpperCamelCase					,						allow_extra_keys=UpperCamelCase      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= {
								    '''foo''': 12,
								    '''bar''': 3.14,
								    '''baz''': '''42''',
								    '''flag''': True,
								}
								with tempfile.TemporaryDirectory() as tmp_dir:
														_SCREAMING_SNAKE_CASE				= os.path.join(UpperCamelCase					,						"temp_json"      )
														os.mkdir(UpperCamelCase      )
														with open(temp_local_path + ".json"					,						"w+"      ) as f:
																				json.dump(UpperCamelCase					,						UpperCamelCase      )
														_SCREAMING_SNAKE_CASE				= parser.parse_yaml_file(Path(temp_local_path + ".json"      )      )[0]

								_SCREAMING_SNAKE_CASE				= BasicExample(**UpperCamelCase      )
								self.assertEqual(UpperCamelCase					,						UpperCamelCase      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )

								_SCREAMING_SNAKE_CASE				= {
								    '''foo''': 12,
								    '''bar''': 3.14,
								    '''baz''': '''42''',
								    '''flag''': True,
								}
								with tempfile.TemporaryDirectory() as tmp_dir:
														_SCREAMING_SNAKE_CASE				= os.path.join(UpperCamelCase					,						"temp_yaml"      )
														os.mkdir(UpperCamelCase      )
														with open(temp_local_path + ".yaml"					,						"w+"      ) as f:
																				yaml.dump(UpperCamelCase					,						UpperCamelCase      )
														_SCREAMING_SNAKE_CASE				= parser.parse_yaml_file(Path(temp_local_path + ".yaml"      )      )[0]
								_SCREAMING_SNAKE_CASE				= BasicExample(**UpperCamelCase      )
								self.assertEqual(UpperCamelCase					,						UpperCamelCase      )




		def     lowercase       (				self      ):
								_SCREAMING_SNAKE_CASE				= HfArgumentParser(UpperCamelCase      )
								self.assertIsNotNone(UpperCamelCase      )

'''simple docstring'''







from typing import TYPE_CHECKING

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


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

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

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_snake_case				:   int     =				[
						    """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:
						_snake_case				:   Tuple     =				[
						    """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

						_snake_case				:   Dict     =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)