


import unittest

from transformers import EsmConfig, is_torch_available
from transformers.testing_utils import TestCasePlus, require_torch, slow, torch_device

from ...test_configuration_common import ConfigTester
from ...test_modeling_common import ModelTesterMixin, ids_tensor, random_attention_mask
from ...test_pipeline_mixin import PipelineTesterMixin


if is_torch_available():
	import torch

	from transformers.models.esm.modeling_esmfold import EsmForProteinFolding




class       lowercase_					:





				def __init__(				self       ,  lowercase_       ,  lowercase_=13       ,  lowercase_=7       ,  lowercase_=False       ,  lowercase_=True       ,  lowercase_=False       ,  lowercase_=False       ,  lowercase_=19       ,  lowercase_=32       ,  lowercase_=5       ,  lowercase_=4       ,  lowercase_=37       ,  lowercase_="gelu"       ,  lowercase_=0.1       ,  lowercase_=0.1       ,  lowercase_=512       ,  lowercase_=16       ,  lowercase_=2       ,  lowercase_=0.02       ,  lowercase_=3       ,  lowercase_=4       ,  lowercase_=None       ,  )  -> int:
											a__      =parent
											a__      =batch_size
											a__      =seq_length
											a__      =is_training
											a__      =use_input_mask
											a__      =use_token_type_ids
											a__      =use_labels
											a__      =vocab_size
											a__      =hidden_size
											a__      =num_hidden_layers
											a__      =num_attention_heads
											a__      =intermediate_size
											a__      =hidden_act
											a__      =hidden_dropout_prob
											a__      =attention_probs_dropout_prob
											a__      =max_position_embeddings
											a__      =type_vocab_size
											a__      =type_sequence_label_size
											a__      =initializer_range
											a__      =num_labels
											a__      =num_choices
											a__      =scope





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											a__      =ids_tensor([self.batch_size, self.seq_length]       ,  self.vocab_size)

											a__      =None
											if self.use_input_mask:
																		a__      =random_attention_mask([self.batch_size, self.seq_length])

											a__      =None
											a__      =None
											a__      =None
											if self.use_labels:
																		a__      =ids_tensor([self.batch_size]       ,  self.type_sequence_label_size)
																		a__      =ids_tensor([self.batch_size, self.seq_length]       ,  self.num_labels)
																		a__      =ids_tensor([self.batch_size]       ,  self.num_choices)

											a__      =self.get_config()

											return config, input_ids, input_mask, sequence_labels, token_labels, choice_labels





				def 						__UpperCamelCase    (				self)  -> Dict:
											a__      =EsmConfig(
											    vocab_size=33       ,  hidden_size=self.hidden_size       ,  pad_token_id=1       ,  num_hidden_layers=self.num_hidden_layers       ,  num_attention_heads=self.num_attention_heads       ,  intermediate_size=self.intermediate_size       ,  hidden_act=self.hidden_act       ,  hidden_dropout_prob=self.hidden_dropout_prob       ,  attention_probs_dropout_prob=self.attention_probs_dropout_prob       ,  max_position_embeddings=self.max_position_embeddings       ,  type_vocab_size=self.type_vocab_size       ,  initializer_range=self.initializer_range       ,  is_folding_model=lowercase_       ,  esmfold_config={'trunk': {'num_blocks': 2}, 'fp16_esm': False}       ,  )
											return config





				def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_       ,  lowercase_       ,  lowercase_       ,  lowercase_       ,  lowercase_)  -> int:
											a__      =EsmForProteinFolding(config=lowercase_).float()
											model.to(lowercase_)
											model.eval()
											a__      =model(lowercase_       ,  attention_mask=lowercase_)
											a__      =model(lowercase_)
											a__      =model(lowercase_)

											self.parent.assertEqual(result.positions.shape       ,  (8, self.batch_size, self.seq_length, 14, 3))
											self.parent.assertEqual(result.angles.shape       ,  (8, self.batch_size, self.seq_length, 7, 2))





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =self.prepare_config_and_inputs()
											(
											    (
											    a__
											)    ,     (
											    a__
											)    ,     (
											    a__
											)    ,     (
											    a__
											)    ,     (
											    a__
											)    ,     (
											    a__
											)    ,     
											)      =config_and_inputs
											a__      ={'input_ids': input_ids, 'attention_mask': input_mask}
											return config, inputs_dict







@require_torch
class       lowercase_					(lowercase__      ,					lowercase__      ,					unittest.TestCase   ):
				snake_case	    =False

				snake_case	    =(EsmForProteinFolding,) if is_torch_available() else ()
				snake_case	    =()
				snake_case	    ={} if is_torch_available() else {}
				snake_case	    =False





				def 						__UpperCamelCase    (				self)  -> Dict:
											a__      =EsmFoldModelTester(self)
											a__      =ConfigTester(self       ,  config_class=lowercase_       ,  hidden_size=37)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											self.config_tester.run_common_tests()





				def 						__UpperCamelCase    (				self)  -> Optional[Any]:
											a__      =self.model_tester.prepare_config_and_inputs()
											self.model_tester.create_and_check_model(*lowercase_)





				@unittest.skip('Does not support attention outputs')
				def 						__UpperCamelCase    (				self)  -> Tuple:
											pass





				@unittest.skip
				def 						__UpperCamelCase    (				self)  -> List[Any]:
											pass





				@unittest.skip('Esm does not support embedding resizing')
				def 						__UpperCamelCase    (				self)  -> Tuple:
											pass





				@unittest.skip('Esm does not support embedding resizing')
				def 						__UpperCamelCase    (				self)  -> str:
											pass





				@unittest.skip('ESMFold does not support passing input embeds!')
				def 						__UpperCamelCase    (				self)  -> Dict:
											pass





				@unittest.skip('ESMFold does not support head pruning.')
				def 						__UpperCamelCase    (				self)  -> List[Any]:
											pass





				@unittest.skip('ESMFold does not support head pruning.')
				def 						__UpperCamelCase    (				self)  -> Any:
											pass





				@unittest.skip('ESMFold does not support head pruning.')
				def 						__UpperCamelCase    (				self)  -> Dict:
											pass





				@unittest.skip('ESMFold does not support head pruning.')
				def 						__UpperCamelCase    (				self)  -> int:
											pass





				@unittest.skip('ESMFold does not support head pruning.')
				def 						__UpperCamelCase    (				self)  -> Any:
											pass





				@unittest.skip('ESMFold does not output hidden states in the normal way.')
				def 						__UpperCamelCase    (				self)  -> Any:
											pass





				@unittest.skip('ESMfold does not output hidden states in the normal way.')
				def 						__UpperCamelCase    (				self)  -> Dict:
											pass





				@unittest.skip('ESMFold only has one output format.')
				def 						__UpperCamelCase    (				self)  -> Any:
											pass





				@unittest.skip('This test doesn\'t work for ESMFold and doesn\'t test core functionality')
				def 						__UpperCamelCase    (				self)  -> int:
											pass





				@unittest.skip('ESMFold does not support input chunking.')
				def 						__UpperCamelCase    (				self)  -> Optional[Any]:
											pass





				@unittest.skip('ESMFold doesn\'t respect you and it certainly doesn\'t respect your initialization arguments.')
				def 						__UpperCamelCase    (				self)  -> str:
											pass





				@unittest.skip('ESMFold doesn\'t support torchscript compilation.')
				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											pass





				@unittest.skip('ESMFold doesn\'t support torchscript compilation.')
				def 						__UpperCamelCase    (				self)  -> Optional[Any]:
											pass





				@unittest.skip('ESMFold doesn\'t support torchscript compilation.')
				def 						__UpperCamelCase    (				self)  -> int:
											pass





				@unittest.skip('ESMFold doesn\'t support data parallel.')
				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											pass





				@unittest.skip('Will be fixed soon by reducing the size of the model used for common tests.')
				def 						__UpperCamelCase    (				self)  -> List[str]:
											pass







@require_torch
class       lowercase_					(lowercase__   ):





				@slow
				def 						__UpperCamelCase    (				self)  -> Dict:
											a__      =EsmForProteinFolding.from_pretrained('facebook/esmfold_v1').float()
											model.eval()
											a__      =torch.tensor([[0, 6, 4, 13, 5, 4, 16, 12, 11, 7, 2]])
											a__      =model(lowercase_)['positions']
											a__      =torch.tensor([2.58_28, 0.79_93, -10.93_34]       ,  dtype=torch.floataa)
											self.assertTrue(torch.allclose(position_outputs[0, 0, 0, 0]       ,  lowercase_       ,  atol=1e-4))





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
_lowerCAmelCase:						Any   				=       sys.version_info >= (3, 10)






def   _lowercase(					__a				:						int=None    ,     __a				:						Any=None     ):
							return field(default_factory=lambda: default    ,     metadata=__a     )




@dataclass
class       lowercase_					:
				snake_case	    =42
				snake_case	    =42
				snake_case	    =42
				snake_case	    =42







@dataclass
class       lowercase_					:
				snake_case	    =42
				snake_case	    =field(default='toto'      ,					metadata={'help': 'help message'}   )







@dataclass
class       lowercase_					:
				snake_case	    =False
				snake_case	    =True
				snake_case	    =None







class       lowercase_					(lowercase__   ):
				snake_case	    ='titi'
				snake_case	    ='toto'







class       lowercase_					(lowercase__   ):
				snake_case	    ='titi'
				snake_case	    ='toto'
				snake_case	    =42







@dataclass
class       lowercase_					:
				snake_case	    ="toto"





				def 						__UpperCamelCase    (				self)  -> List[str]:
											a__      =BasicEnum(self.foo)







@dataclass
class       lowercase_					:
				snake_case	    ="toto"





				def 						__UpperCamelCase    (				self)  -> List[str]:
											a__      =MixedTypeEnum(self.foo)







@dataclass
class       lowercase_					:
				snake_case	    =None
				snake_case	    =field(default=lowercase__      ,					metadata={'help': 'help message'}   )
				snake_case	    =None
				snake_case	    =list_field(default=[]   )
				snake_case	    =list_field(default=[]   )







@dataclass
class       lowercase_					:
				snake_case	    =list_field(default=[]   )
				snake_case	    =list_field(default=[1, 2, 3]   )
				snake_case	    =list_field(default=['Hallo', 'Bonjour', 'Hello']   )
				snake_case	    =list_field(default=[0.1, 0.2, 0.3]   )







@dataclass
class       lowercase_					:
				snake_case	    =field()
				snake_case	    =field()
				snake_case	    =field()





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =BasicEnum(self.required_enum)







@dataclass
class       lowercase_					:
				snake_case	    =42
				snake_case	    =field()
				snake_case	    =None
				snake_case	    =field(default='toto'      ,					metadata={'help': 'help message'}   )
				snake_case	    =list_field(default=['Hallo', 'Bonjour', 'Hello']   )


if is_python_no_less_than_3_10:




	@dataclass
	class       lowercase_					:
					snake_case	    =False
					snake_case	    =True
					snake_case	    =None







	@dataclass
	class       lowercase_					:
					snake_case	    =None
					snake_case	    =field(default=lowercase__      ,					metadata={'help': 'help message'}   )
					snake_case	    =None
					snake_case	    =list_field(default=[]   )
					snake_case	    =list_field(default=[]   )







class       lowercase_					(unittest.TestCase   ):





				def 						__UpperCamelCase    (				self       ,  lowercase_       ,  lowercase_)  -> int:
											self.assertEqual(len(a._actions)       ,  len(b._actions))
											for x, y in zip(a._actions       ,  b._actions):
																		a__      ={k: v for k, v in vars(lowercase_).items() if k != 'container'}
																		a__      ={k: v for k, v in vars(lowercase_).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'       ,  lowercase_) and yy.get('choices'       ,  lowercase_):
																									for expected_choice in yy["choices"] + xx["choices"]:
																																self.assertEqual(xx['type'](lowercase_)       ,  yy['type'](lowercase_))
																									del xx["type"], yy["type"]

																		self.assertEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo'       ,  type=lowercase_       ,  required=lowercase_)
											expected.add_argument('--bar'       ,  type=lowercase_       ,  required=lowercase_)
											expected.add_argument('--baz'       ,  type=lowercase_       ,  required=lowercase_)
											expected.add_argument('--flag'       ,  type=lowercase_       ,  default=lowercase_       ,  const=lowercase_       ,  nargs='?')
											self.argparsersEqual(lowercase_       ,  lowercase_)

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





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo'       ,  default=42       ,  type=lowercase_)
											expected.add_argument('--baz'       ,  default='toto'       ,  type=lowercase_       ,  help='help message')
											self.argparsersEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> Optional[Any]:
											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo'       ,  type=lowercase_       ,  default=lowercase_       ,  const=lowercase_       ,  nargs='?')
											expected.add_argument('--baz'       ,  type=lowercase_       ,  default=lowercase_       ,  const=lowercase_       ,  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=lowercase_       ,  dest='baz')
											expected.add_argument('--opt'       ,  type=lowercase_       ,  default=lowercase_)

											a__      =[WithDefaultBoolExample]
											if is_python_no_less_than_3_10:
																		dataclass_types.append(lowercase_)

											for dataclass_type in dataclass_types:
																		a__      =HfArgumentParser(lowercase_)
																		self.argparsersEqual(lowercase_       ,  lowercase_)

																		a__      =parser.parse_args([])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))

																		a__      =parser.parse_args(['--foo', '--no_baz'])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))

																		a__      =parser.parse_args(['--foo', '--baz'])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))

																		a__      =parser.parse_args(['--foo', 'True', '--baz', 'True', '--opt', 'True'])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))

																		a__      =parser.parse_args(['--foo', 'False', '--baz', 'False', '--opt', 'False'])
																		self.assertEqual(lowercase_       ,  Namespace(foo=lowercase_       ,  baz=lowercase_       ,  opt=lowercase_))





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument(
											    '--foo'       ,  default='toto'       ,  choices=['titi', 'toto', 42]       ,  type=make_choice_type_function(['titi', 'toto', 42])       ,  )
											self.argparsersEqual(lowercase_       ,  lowercase_)

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

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

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





				def 						__UpperCamelCase    (				self)  -> List[Any]:




											@dataclass
											class       lowercase_					:
															snake_case	    ="toto"







											a__      =HfArgumentParser(lowercase_)

											a__      =argparse.ArgumentParser()
											expected.add_argument(
											    '--foo'       ,  default='toto'       ,  choices=('titi', 'toto', 42)       ,  type=make_choice_type_function(['titi', 'toto', 42])       ,  )
											self.argparsersEqual(lowercase_       ,  lowercase_)

											a__      =parser.parse_args([])
											self.assertEqual(args.foo       ,  'toto')

											a__      =parser.parse_args(['--foo', 'titi'])
											self.assertEqual(args.foo       ,  'titi')

											a__      =parser.parse_args(['--foo', '42'])
											self.assertEqual(args.foo       ,  42)





				def 						__UpperCamelCase    (				self)  -> Optional[int]:
											a__      =HfArgumentParser(lowercase_)

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

											self.argparsersEqual(lowercase_       ,  lowercase_)

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

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





				def 						__UpperCamelCase    (				self)  -> Dict:
											a__      =argparse.ArgumentParser()
											expected.add_argument('--foo'       ,  default=lowercase_       ,  type=lowercase_)
											expected.add_argument('--bar'       ,  default=lowercase_       ,  type=lowercase_       ,  help='help message')
											expected.add_argument('--baz'       ,  default=lowercase_       ,  type=lowercase_)
											expected.add_argument('--ces'       ,  nargs='+'       ,  default=[]       ,  type=lowercase_)
											expected.add_argument('--des'       ,  nargs='+'       ,  default=[]       ,  type=lowercase_)

											a__      =[OptionalExample]
											if is_python_no_less_than_3_10:
																		dataclass_types.append(lowercase_)

											for dataclass_type in dataclass_types:
																		a__      =HfArgumentParser(lowercase_)

																		self.argparsersEqual(lowercase_       ,  lowercase_)

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

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





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =HfArgumentParser(lowercase_)

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





				def 						__UpperCamelCase    (				self)  -> str:
											a__      =HfArgumentParser(lowercase_)

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





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =HfArgumentParser(lowercase_)

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

											a__      =parser.parse_dict(lowercase_)[0]
											a__      =BasicExample(**lowercase_)
											self.assertEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											a__      =HfArgumentParser(lowercase_)

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

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





				def 						__UpperCamelCase    (				self)  -> List[Any]:
											a__      =HfArgumentParser(lowercase_)

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

											a__      =BasicExample(**lowercase_)
											self.assertEqual(lowercase_       ,  lowercase_)





				def 						__UpperCamelCase    (				self)  -> Any:
											a__      =HfArgumentParser(lowercase_)

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





				def 						__UpperCamelCase    (				self)  -> Union[str, Any]:
											a__      =HfArgumentParser(lowercase_)
											self.assertIsNotNone(lowercase_)

