


'''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 		_lowercase ():




     '''simple docstring'''





     print("Welcome!"							)
     yield
     print("Bye!"							)


@contextlib.contextmanager
def 		_lowercase ():




     '''simple docstring'''





     print("Bonjour!"							)
     yield
     print("Au revoir!"							)







class 							__magic_name__	(       unittest.TestCase ):

     """simple docstring"""






     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          assert transformers.__spec__ is not None
          assert importlib.util.find_spec("transformers"		) is not None







class 							__magic_name__	(       unittest.TestCase ):

     """simple docstring"""






     @unittest.mock.patch("sys.stdout"			,     new_callable=io.StringIO		)
     def lowerCAmelCase__  (   self			,     lowerCamelCase		):


          '''simple docstring'''





          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 lowerCAmelCase__  (   self			,     lowerCamelCase		):


          '''simple docstring'''





          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 lowerCAmelCase__  (   self			,     lowerCamelCase		):


          '''simple docstring'''





          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 lowerCAmelCase__  (   self		):


          '''simple docstring'''





          self.assertEqual(find_labels(lowerCamelCase		)			,     ["labels"]		)
          self.assertEqual(find_labels(lowerCamelCase		)			,     ["labels", "next_sentence_label"]		)
          self.assertEqual(find_labels(lowerCamelCase		)			,     ["start_positions", "end_positions"]		)







          class 							__magic_name__	(       lowerCAmelCase ):

               """simple docstring"""






               pass


          self.assertEqual(find_labels(lowerCamelCase		)			,     ["labels"]		)


     @require_tf
     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





          self.assertEqual(find_labels(lowerCamelCase		)			,     ["labels"]		)
          self.assertEqual(find_labels(lowerCamelCase		)			,     ["labels", "next_sentence_label"]		)
          self.assertEqual(find_labels(lowerCamelCase		)			,     ["start_positions", "end_positions"]		)







          class 							__magic_name__	(       lowerCAmelCase ):

               """simple docstring"""






               pass


          self.assertEqual(find_labels(lowerCamelCase		)			,     ["labels"]		)


     @require_flax
     def lowerCAmelCase__  (   self		):


          '''simple docstring'''





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







          class 							__magic_name__	(       lowerCAmelCase ):

               """simple docstring"""






               pass


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





'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
    is_vision_available,
)


_UpperCamelCase 							=  {"""configuration_vit""": ["""VIT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """ViTConfig""", """ViTOnnxConfig"""]}

try:
      if not is_vision_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _UpperCamelCase 							=  ["""ViTFeatureExtractor"""]
      _UpperCamelCase 							=  ["""ViTImageProcessor"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _UpperCamelCase 							=  [
          """VIT_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """ViTForImageClassification""",
          """ViTForMaskedImageModeling""",
          """ViTModel""",
          """ViTPreTrainedModel""",
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _UpperCamelCase 							=  [
          """TFViTForImageClassification""",
          """TFViTModel""",
          """TFViTPreTrainedModel""",
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _UpperCamelCase 							=  [
          """FlaxViTForImageClassification""",
          """FlaxViTModel""",
          """FlaxViTPreTrainedModel""",
      ]

if TYPE_CHECKING:
      from .configuration_vit import VIT_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTConfig, ViTOnnxConfig

      try:
            if not is_vision_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_vit import ViTFeatureExtractor
            from .image_processing_vit import ViTImageProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_vit import (
                VIT_PRETRAINED_MODEL_ARCHIVE_LIST,
                ViTForImageClassification,
                ViTForMaskedImageModeling,
                ViTModel,
                ViTPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_vit import TFViTForImageClassification, TFViTModel, TFViTPreTrainedModel

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel, FlaxViTPreTrainedModel


else:
      import sys

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

