





"""simple docstring"""





import inspect
import unittest

import numpy as np

from transformers import BeitConfig
from transformers.testing_utils import require_flax, require_vision, slow
from transformers.utils import cached_property, is_flax_available, is_vision_available

from ...test_configuration_common import ConfigTester
from ...test_modeling_flax_common import FlaxModelTesterMixin, floats_tensor, ids_tensor


if is_flax_available():
  import jax

  from transformers import FlaxBeitForImageClassification, FlaxBeitForMaskedImageModeling, FlaxBeitModel

if is_vision_available():
  from PIL import Image

  from transformers import BeitImageProcessor






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




       def __init__(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase=1_0_0       ,					__UpperCAmelCase=1_3       ,					__UpperCAmelCase=3_0       ,					__UpperCAmelCase=2       ,					__UpperCAmelCase=3       ,					__UpperCAmelCase=True       ,					__UpperCAmelCase=True       ,					__UpperCAmelCase=3_2       ,					__UpperCAmelCase=5       ,					__UpperCAmelCase=4       ,					__UpperCAmelCase=3_7       ,					__UpperCAmelCase="gelu"       ,					__UpperCAmelCase=0.1       ,					__UpperCAmelCase=0.1       ,					__UpperCAmelCase=1_0       ,					__UpperCAmelCase=0.02       ,					__UpperCAmelCase=3       ,					):



         '''simple docstring'''

         lowerCAmelCase__     :int											=				parent
         lowerCAmelCase__     :List[Any]											=				vocab_size
         lowerCAmelCase__     :int											=				batch_size
         lowerCAmelCase__     :Optional[Any]											=				image_size
         lowerCAmelCase__     :List[Any]											=				patch_size
         lowerCAmelCase__     :Optional[Any]											=				num_channels
         lowerCAmelCase__     :List[str]											=				is_training
         lowerCAmelCase__     :int											=				use_labels
         lowerCAmelCase__     :Optional[int]											=				hidden_size
         lowerCAmelCase__     :Union[str, Any]											=				num_hidden_layers
         lowerCAmelCase__     :Any											=				num_attention_heads
         lowerCAmelCase__     :Union[str, Any]											=				intermediate_size
         lowerCAmelCase__     :Optional[int]											=				hidden_act
         lowerCAmelCase__     :str											=				hidden_dropout_prob
         lowerCAmelCase__     :Optional[int]											=				attention_probs_dropout_prob
         lowerCAmelCase__     :int											=				type_sequence_label_size
         lowerCAmelCase__     :Dict											=				initializer_range

         # in BeiT, the seq length equals the number of patches + 1 (we add 1 for the [CLS] token)
         lowerCAmelCase__     :int											=				(image_size // patch_size) ** 2
         lowerCAmelCase__     :Tuple											=				num_patches + 1






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :str											=				floats_tensor([self.batch_size, self.num_channels, self.image_size, self.image_size] )

         lowerCAmelCase__     :Dict											=				None
         if self.use_labels:
           lowerCAmelCase__     :List[Any]											=				ids_tensor([self.batch_size]       ,					self.type_sequence_label_size )

         lowerCAmelCase__     :Any											=				BeitConfig(
             vocab_size=self.vocab_size       ,					image_size=self.image_size       ,					patch_size=self.patch_size       ,					num_channels=self.num_channels       ,					hidden_size=self.hidden_size       ,					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       ,					is_decoder=__UpperCAmelCase       ,					initializer_range=self.initializer_range       ,					)

         return config, pixel_values, labels






       def 	snake_case		(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase       ,					__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[Any]											=				FlaxBeitModel(config=__UpperCAmelCase )
         lowerCAmelCase__     :Dict											=				model(__UpperCAmelCase )
         self.parent.assertEqual(result.last_hidden_state.shape       ,					(self.batch_size, self.seq_length, self.hidden_size) )






       def 	snake_case		(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase       ,					__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :List[str]											=				FlaxBeitForMaskedImageModeling(config=__UpperCAmelCase )
         lowerCAmelCase__     :Union[str, Any]											=				model(__UpperCAmelCase )
         self.parent.assertEqual(result.logits.shape       ,					(self.batch_size, self.seq_length - 1, self.vocab_size) )






       def 	snake_case		(       self       ,					__UpperCAmelCase       ,					__UpperCAmelCase       ,					__UpperCAmelCase ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[int]											=				self.type_sequence_label_size
         lowerCAmelCase__     :List[str]											=				FlaxBeitForImageClassification(config=__UpperCAmelCase )
         lowerCAmelCase__     :int											=				model(__UpperCAmelCase )
         self.parent.assertEqual(result.logits.shape       ,					(self.batch_size, self.type_sequence_label_size) )

         # test greyscale images
         lowerCAmelCase__     :Tuple											=				1
         lowerCAmelCase__     :Union[str, Any]											=				FlaxBeitForImageClassification(__UpperCAmelCase )

         lowerCAmelCase__     :Tuple											=				floats_tensor([self.batch_size, 1, self.image_size, self.image_size] )
         lowerCAmelCase__     :int											=				model(__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[Any]											=				self.prepare_config_and_inputs()
         (
             (
             lowerCAmelCase__
         )				,							(
             lowerCAmelCase__
         )				,							(
             lowerCAmelCase__
         )				,							
         )     :str											=				config_and_inputs
         lowerCAmelCase__     :Optional[Any]											=				{'pixel_values': pixel_values}
         return config, inputs_dict






@require_flax
class    _lowerCAmelCase  (	a    ,  unittest.TestCase			):
       """simple docstring"""




       __magic_name__	:Optional[int]						    =   (
           (FlaxBeitModel, FlaxBeitForImageClassification, FlaxBeitForMaskedImageModeling) if is_flax_available() else ()
       )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[Any]											=				FlaxBeitModelTester(self )
         lowerCAmelCase__     :Optional[Any]											=				ConfigTester(self       ,					config_class=__UpperCAmelCase       ,					has_text_modality=__UpperCAmelCase       ,					hidden_size=3_7 )






       def 	snake_case		(       self ):



         '''simple docstring'''

         self.config_tester.run_common_tests()






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__				,							lowerCAmelCase__     :Union[str, Any]											=				self.model_tester.prepare_config_and_inputs_for_common()

         for model_class in self.all_model_classes:
           lowerCAmelCase__     :Dict											=				model_class(__UpperCAmelCase )
           lowerCAmelCase__     :Union[str, Any]											=				inspect.signature(model.__call__ )
           # signature.parameters is an OrderedDict => so arg_names order is deterministic
           lowerCAmelCase__     :int											=				[*signature.parameters.keys()]

           lowerCAmelCase__     :List[Any]											=				['pixel_values']
           self.assertListEqual(arg_names[:1]       ,					__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__				,							lowerCAmelCase__     :Optional[Any]											=				self.model_tester.prepare_config_and_inputs_for_common()

         for model_class in self.all_model_classes:
           with self.subTest(model_class.__name__ ):
             lowerCAmelCase__     :List[str]											=				self._prepare_for_class(__UpperCAmelCase       ,					__UpperCAmelCase )
             lowerCAmelCase__     :Dict											=				model_class(__UpperCAmelCase )

             @jax.jit
             def model_jitted(__UpperCAmelCase       ,					**__UpperCAmelCase ):
               return model(pixel_values=__UpperCAmelCase       ,					**__UpperCAmelCase )

             with self.subTest('JIT Enabled' ):
               lowerCAmelCase__     :str											=				model_jitted(**__UpperCAmelCase ).to_tuple()

             with self.subTest('JIT Disabled' ):
               with jax.disable_jit():
                 lowerCAmelCase__     :List[Any]											=				model_jitted(**__UpperCAmelCase ).to_tuple()

             self.assertEqual(len(__UpperCAmelCase )       ,					len(__UpperCAmelCase ) )
             for jitted_output, output in zip(__UpperCAmelCase       ,					__UpperCAmelCase ):
               self.assertEqual(jitted_output.shape       ,					output.shape )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[Any]											=				self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_model(*__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :int											=				self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_for_masked_lm(*__UpperCAmelCase )






       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Optional[int]											=				self.model_tester.prepare_config_and_inputs()
         self.model_tester.create_and_check_for_image_classification(*__UpperCAmelCase )






       @slow
       def 	snake_case		(       self ):



         '''simple docstring'''

         for model_class_name in self.all_model_classes:
           lowerCAmelCase__     :str											=				model_class_name.from_pretrained('microsoft/beit-base-patch16-224' )
           lowerCAmelCase__     :Any											=				model(np.ones((1, 3, 2_2_4, 2_2_4) ) )
           self.assertIsNotNone(__UpperCAmelCase )






def 					__A  ()   ->Union[str, Any]:





  """simple docstring"""


  lowerCAmelCase__     :List[str]											=				Image.open('./tests/fixtures/tests_samples/COCO/000000039769.png'     )
  return image






@require_vision
@require_flax
class    _lowerCAmelCase  (	unittest.TestCase			):
       """simple docstring"""




       @cached_property
       def 	snake_case		(       self ):



         '''simple docstring'''

         return BeitImageProcessor.from_pretrained('microsoft/beit-base-patch16-224' ) if is_vision_available() else None






       @slow
       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :Any											=				FlaxBeitForMaskedImageModeling.from_pretrained('microsoft/beit-base-patch16-224-pt22k' )

         lowerCAmelCase__     :Optional[int]											=				self.default_image_processor
         lowerCAmelCase__     :List[str]											=				prepare_img()
         lowerCAmelCase__     :Any											=				image_processor(images=__UpperCAmelCase       ,					return_tensors='np' ).pixel_values

         # prepare bool_masked_pos
         lowerCAmelCase__     :str											=				np.ones((1, 1_9_6)       ,					dtype=__UpperCAmelCase )

         # forward pass
         lowerCAmelCase__     :int											=				model(pixel_values=__UpperCAmelCase       ,					bool_masked_pos=__UpperCAmelCase )
         lowerCAmelCase__     :Dict											=				outputs.logits

         # verify the logits
         lowerCAmelCase__     :Optional[Any]											=				(1, 1_9_6, 8_1_9_2)
         self.assertEqual(logits.shape       ,					__UpperCAmelCase )

         lowerCAmelCase__     :List[Any]											=				np.array(
             [[-3.24_37, 0.50_72, -13.91_74], [-3.24_56, 0.49_48, -13.94_01], [-3.20_33, 0.51_21, -13.85_50]] )

         self.assertTrue(np.allclose(logits[bool_masked_pos][:3, :3]       ,					__UpperCAmelCase       ,					atol=1E-2 ) )






       @slow
       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :str											=				FlaxBeitForImageClassification.from_pretrained('microsoft/beit-base-patch16-224' )

         lowerCAmelCase__     :int											=				self.default_image_processor
         lowerCAmelCase__     :Any											=				prepare_img()
         lowerCAmelCase__     :Optional[Any]											=				image_processor(images=__UpperCAmelCase       ,					return_tensors='np' )

         # forward pass
         lowerCAmelCase__     :int											=				model(**__UpperCAmelCase )
         lowerCAmelCase__     :Tuple											=				outputs.logits

         # verify the logits
         lowerCAmelCase__     :str											=				(1, 1_0_0_0)
         self.assertEqual(logits.shape       ,					__UpperCAmelCase )

         lowerCAmelCase__     :Tuple											=				np.array([-1.23_85, -1.09_87, -1.01_08] )

         self.assertTrue(np.allclose(logits[0, :3]       ,					__UpperCAmelCase       ,					atol=1E-4 ) )

         lowerCAmelCase__     :Optional[Any]											=				2_8_1
         self.assertEqual(logits.argmax(-1 ).item()       ,					__UpperCAmelCase )






       @slow
       def 	snake_case		(       self ):



         '''simple docstring'''

         lowerCAmelCase__     :str											=				FlaxBeitForImageClassification.from_pretrained('microsoft/beit-large-patch16-224-pt22k-ft22k' )

         lowerCAmelCase__     :Dict											=				self.default_image_processor
         lowerCAmelCase__     :Optional[Any]											=				prepare_img()
         lowerCAmelCase__     :List[str]											=				image_processor(images=__UpperCAmelCase       ,					return_tensors='np' )

         # forward pass
         lowerCAmelCase__     :Dict											=				model(**__UpperCAmelCase )
         lowerCAmelCase__     :Any											=				outputs.logits

         # verify the logits
         lowerCAmelCase__     :Tuple											=				(1, 2_1_8_4_1)
         self.assertEqual(logits.shape       ,					__UpperCAmelCase )

         lowerCAmelCase__     :Any											=				np.array([1.68_81, -0.27_87, 0.59_01] )

         self.assertTrue(np.allclose(logits[0, :3]       ,					__UpperCAmelCase       ,					atol=1E-4 ) )

         lowerCAmelCase__     :int											=				2_3_9_6
         self.assertEqual(logits.argmax(-1 ).item()       ,					__UpperCAmelCase )







"""simple docstring"""





import importlib.metadata
import operator
import re
import sys
from typing import Optional

from packaging import version


__A											=						{
    """<""": operator.lt,
    """<=""": operator.le,
    """==""": operator.eq,
    """!=""": operator.ne,
    """>=""": operator.ge,
    """>""": operator.gt,
}
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )   ->Union[str, Any]:





  """simple docstring"""


  if got_ver is None or want_ver is None:
    raise ValueError(
        F"Unable to compare versions for {requirement}: need={want_ver} found={got_ver}. This is unusual. Consider"
        F" reinstalling {pkg}."     )
  if not ops[op](version.parse(_SCREAMING_SNAKE_CASE     )	,  version.parse(_SCREAMING_SNAKE_CASE     )     ):
    raise ImportError(
        F"{requirement} is required for a normal functioning of this module, but found {pkg}=={got_ver}.{hint}"     )
def 					__A  (_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE = None     )   ->None:





  """simple docstring"""


  lowerCAmelCase__     :List[str]											=				F"\n{hint}" if hint is not None else ''

  # non-versioned check
  if re.match(r'^[\w_\-\d]+$'	,  _SCREAMING_SNAKE_CASE     ):
    lowerCAmelCase__				,							lowerCAmelCase__				,							lowerCAmelCase__     :Any											=				requirement, None, None
  else:
    lowerCAmelCase__     :List[str]											=				re.findall(r'^([^!=<>\s]+)([\s!=<>]{1,2}.+)'	,  _SCREAMING_SNAKE_CASE     )
    if not match:
      raise ValueError(
          'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23, but'
          F" got {requirement}"     )
    lowerCAmelCase__				,							lowerCAmelCase__     :Union[str, Any]											=				match[0]
    lowerCAmelCase__     :List[Any]											=				want_full.split(','     )  # there could be multiple requirements
    lowerCAmelCase__     :Any											=				{}
    for w in want_range:
      lowerCAmelCase__     :Tuple											=				re.findall(r'^([\s!=<>]{1,2})(.+)'	,  _SCREAMING_SNAKE_CASE     )
      if not match:
        raise ValueError(
            'requirement needs to be in the pip package format, .e.g., package_a==1.23, or package_b>=1.23,'
            F" but got {requirement}"     )
      lowerCAmelCase__				,							lowerCAmelCase__     :int											=				match[0]
      lowerCAmelCase__     :str											=				want_ver
      if op not in ops:
        raise ValueError(F"{requirement}: need one of {list(ops.keys()     )}, but got {op}"     )

    # special case
  if pkg == "python":
    lowerCAmelCase__     :Any											=				'.'.join([str(_SCREAMING_SNAKE_CASE     ) for x in sys.version_info[:3]]     )
    for op, want_ver in wanted.items():
      _compare_versions(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )
    return

  # check if any version is installed
  try:
    lowerCAmelCase__     :List[Any]											=				importlib.metadata.version(_SCREAMING_SNAKE_CASE     )
  except importlib.metadata.PackageNotFoundError:
    raise importlib.metadata.PackageNotFoundError(
        F"The '{requirement}' distribution was not found and is required by this application. {hint}"     )

  # check that the right version is installed if version number or a range was provided
  if want_ver is not None:
    for op, want_ver in wanted.items():
      _compare_versions(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )




def 					__A  (_SCREAMING_SNAKE_CASE     )   ->List[Any]:





  """simple docstring"""


  lowerCAmelCase__     :Optional[Any]											=				'Try: pip install transformers -U or pip install -e \'.[dev]\' if you\'re working with git main'
  return require_version(_SCREAMING_SNAKE_CASE	,  _SCREAMING_SNAKE_CASE     )
