

"""simple docstring"""




from typing import TYPE_CHECKING

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


_lowercase   :	Any												=						{
    'configuration_lxmert': ['LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LxmertConfig'],
    'tokenization_lxmert': ['LxmertTokenizer'],
}

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowercase   :	Union[str, Any]												=						['LxmertTokenizerFast']

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowercase   :	List[str]												=						[
				    'LxmertEncoder',
				    'LxmertForPreTraining',
				    'LxmertForQuestionAnswering',
				    'LxmertModel',
				    'LxmertPreTrainedModel',
				    'LxmertVisualFeatureEncoder',
				    'LxmertXLayer',
				]

try:
				if not is_tf_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowercase   :	Union[str, Any]												=						[
				    'TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'TFLxmertForPreTraining',
				    'TFLxmertMainLayer',
				    'TFLxmertModel',
				    'TFLxmertPreTrainedModel',
				    'TFLxmertVisualFeatureEncoder',
				]


if TYPE_CHECKING:
				from .configuration_lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig
				from .tokenization_lxmert import LxmertTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_lxmert_fast import LxmertTokenizerFast

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_lxmert import (
								    LxmertEncoder,
								    LxmertForPreTraining,
								    LxmertForQuestionAnswering,
								    LxmertModel,
								    LxmertPreTrainedModel,
								    LxmertVisualFeatureEncoder,
								    LxmertXLayer,
								)

				try:
								if not is_tf_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_tf_lxmert import (
								    TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
								    TFLxmertForPreTraining,
								    TFLxmertMainLayer,
								    TFLxmertModel,
								    TFLxmertPreTrainedModel,
								    TFLxmertVisualFeatureEncoder,
								)

else:
				import sys

				_lowercase   :	int												=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)







"""simple docstring"""





import contextlib
import importlib
import io
import unittest

import transformers

# Try to import everything from transformers to ensure every object can be loaded.
from transformers import *  # noqa F406
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, require_flax, require_tf, require_torch
from transformers.utils import ContextManagers, find_labels, is_flax_available, is_tf_available, is_torch_available


if is_torch_available():
							from transformers import BertForPreTraining, BertForQuestionAnswering, BertForSequenceClassification

if is_tf_available():
							from transformers import TFBertForPreTraining, TFBertForQuestionAnswering, TFBertForSequenceClassification

if is_flax_available():
							from transformers import FlaxBertForPreTraining, FlaxBertForQuestionAnswering, FlaxBertForSequenceClassification


_UpperCamelCase					      =   DUMMY_UNKNOWN_IDENTIFIER
# An actual model hosted on huggingface.co

_UpperCamelCase					      =   'main'
# Default branch name
_UpperCamelCase					      =   'f2c752cfc5c0ab6f4bdec59acea69eefbee381c2'
# One particular commit (not the top of `main`)
_UpperCamelCase					      =   'aaaaaaa'
# This commit does not exist, so we should 404.

_UpperCamelCase					      =   'd9e9f15bc825e4b2c9249e9578f884bbcb5e3684'
# Sha-1 of config.json on the top of `main`, for checking purposes
_UpperCamelCase					      =   '4b243c475af8d0a7754e87d7d096c92e5199ec2fe168a2ee7998e3b8e9bcb1d3'



@contextlib.contextmanager
def 					lowerCAmelCase_      (   ):


							'''simple docstring'''







							print('''Welcome!''' )
							yield
							print('''Bye!''' )



@contextlib.contextmanager
def 					lowerCAmelCase_      (   ):


							'''simple docstring'''







							print('''Bonjour!''' )
							yield
							print('''Au revoir!''' )
class 		SCREAMING_SNAKE_CASE_				(     unittest.TestCase ):
				"""simple docstring"""




				def        __lowercase	(  self	:str      ):
											# If the spec is missing, importlib would not be able to import the module dynamically.
											assert transformers.__spec__ is not None
											assert importlib.util.find_spec('''transformers'''      ) is not None

class 		SCREAMING_SNAKE_CASE_				(     unittest.TestCase ):
				"""simple docstring"""




				@unittest.mock.patch('''sys.stdout'''    ,     new_callable=io.StringIO      )
				def        __lowercase	(  self	:str    ,     __lowercase	:str      ):
											with ContextManagers([]      ):
																		print('''Transformers are awesome!'''      )
											# The print statement adds a new line at the end of the output
											self.assertEqual(mock_stdout.getvalue()    ,     '''Transformers are awesome!\n'''      )




				@unittest.mock.patch('''sys.stdout'''    ,     new_callable=io.StringIO      )
				def        __lowercase	(  self	:Any    ,     __lowercase	:Tuple      ):
											with ContextManagers([context_en()]      ):
																		print('''Transformers are awesome!'''      )
											# The output should be wrapped with an English welcome and goodbye
											self.assertEqual(mock_stdout.getvalue()    ,     '''Welcome!\nTransformers are awesome!\nBye!\n'''      )




				@unittest.mock.patch('''sys.stdout'''    ,     new_callable=io.StringIO      )
				def        __lowercase	(  self	:List[Any]    ,     __lowercase	:Optional[Any]      ):
											with ContextManagers([context_fr(), context_en()]      ):
																		print('''Transformers are awesome!'''      )
											# The output should be wrapped with an English and French welcome and goodbye
											self.assertEqual(mock_stdout.getvalue()    ,     '''Bonjour!\nWelcome!\nTransformers are awesome!\nBye!\nAu revoir!\n'''      )




				@require_torch
				def        __lowercase	(  self	:Tuple      ):
											self.assertEqual(find_labels(__lowercase      )    ,     ['''labels''']      )
											self.assertEqual(find_labels(__lowercase      )    ,     ['''labels''', '''next_sentence_label''']      )
											self.assertEqual(find_labels(__lowercase      )    ,     ['''start_positions''', '''end_positions''']      )
											class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
															"""simple docstring"""
															pass

											self.assertEqual(find_labels(__lowercase      )    ,     ['''labels''']      )




				@require_tf
				def        __lowercase	(  self	:str      ):
											self.assertEqual(find_labels(__lowercase      )    ,     ['''labels''']      )
											self.assertEqual(find_labels(__lowercase      )    ,     ['''labels''', '''next_sentence_label''']      )
											self.assertEqual(find_labels(__lowercase      )    ,     ['''start_positions''', '''end_positions''']      )
											class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
															"""simple docstring"""
															pass

											self.assertEqual(find_labels(__lowercase      )    ,     ['''labels''']      )




				@require_flax
				def        __lowercase	(  self	:str      ):
											# Flax models don't have labels
											self.assertEqual(find_labels(__lowercase      )    ,     []      )
											self.assertEqual(find_labels(__lowercase      )    ,     []      )
											self.assertEqual(find_labels(__lowercase      )    ,     []      )
											class 		SCREAMING_SNAKE_CASE_				(     snake_case__ ):
															"""simple docstring"""
															pass

											self.assertEqual(find_labels(__lowercase      )    ,     []      )




