






import inspect
import unittest

import numpy as np

from transformers import ViTConfig, is_flax_available
from transformers.testing_utils import require_flax, slow

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


if is_flax_available():
     import jax

     from transformers.models.vit.modeling_flax_vit import FlaxViTForImageClassification, FlaxViTModel




class       snake_case__ (				unittest.TestCase):

       '''simple docstring'''



       def __init__(				self      ,    a__      ,    a__=13      ,    a__=30      ,    a__=2      ,    a__=3      ,    a__=True      ,    a__=True      ,    a__=32      ,    a__=5      ,    a__=4      ,    a__=37      ,    a__="gelu"      ,    a__=0.1      ,    a__=0.1      ,    a__=10      ,    a__=0.02      ,    )			->   Optional[int]:






            '''simple docstring'''





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

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



       def        __lowercase    (				self     )			->   Dict:






            '''simple docstring'''





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

            __snake_case      :Tuple 							=    ViTConfig(
                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=__lowerCamelCase      ,    initializer_range=self.initializer_range      ,    )

            return config, pixel_values



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   List[Any]:






            '''simple docstring'''





            __snake_case      :List[Any] 							=    FlaxViTModel(config=__lowerCamelCase     )
            __snake_case      :List[str] 							=    model(__lowerCamelCase     )
            # expected sequence length = num_patches + 1 (we add 1 for the [CLS] token)
            __snake_case      :Optional[Any] 							=    (self.image_size, self.image_size)
            __snake_case      :Dict 							=    (self.patch_size, self.patch_size)
            __snake_case      :Dict 							=    (image_size[1] // patch_size[1]) * (image_size[0] // patch_size[0])
            self.parent.assertEqual(result.last_hidden_state.shape      ,    (self.batch_size, num_patches + 1, self.hidden_size)     )



       def        __lowercase    (				self      ,    a__      ,    a__     )			->   Tuple:






            '''simple docstring'''





            __snake_case      :Union[str, Any] 							=    self.type_sequence_label_size
            __snake_case      :Optional[Any] 							=    FlaxViTForImageClassification(config=__lowerCamelCase     )
            __snake_case      :str 							=    model(__lowerCamelCase     )
            self.parent.assertEqual(result.logits.shape      ,    (self.batch_size, self.type_sequence_label_size)     )

            # test greyscale images
            __snake_case      :Optional[int] 							=    1
            __snake_case      :int 							=    FlaxViTForImageClassification(__lowerCamelCase     )

            __snake_case      :int 							=    floats_tensor([self.batch_size, 1, self.image_size, self.image_size]     )
            __snake_case      :str 							=    model(__lowerCamelCase     )



       def        __lowercase    (				self     )			->   Tuple:






            '''simple docstring'''





            __snake_case      :List[Any] 							=    self.prepare_config_and_inputs()
            (
                (
                __snake_case	
            )							,			(
                __snake_case	
            )							,				
            )      :Any 							=    config_and_inputs
            __snake_case      :Optional[int] 							=    {"""pixel_values""": pixel_values}
            return config, inputs_dict




@require_flax
class       snake_case__ (				__snake_case						,     unittest.TestCase):

       '''simple docstring'''
       lowerCamelCase				:					Tuple								=			(FlaxViTModel, FlaxViTForImageClassification) if is_flax_available() else ()



       def        __lowercase    (				self     )			->   None:






            '''simple docstring'''





            __snake_case      :Optional[int] 							=    FlaxViTModelTester(self     )
            __snake_case      :Dict 							=    ConfigTester(self      ,    config_class=__lowerCamelCase      ,    has_text_modality=__lowerCamelCase      ,    hidden_size=37     )



       def        __lowercase    (				self     )			->   Tuple:






            '''simple docstring'''





            self.config_tester.run_common_tests()



       def        __lowercase    (				self     )			->   int:






            '''simple docstring'''





            __snake_case      :Tuple 							=    self.model_tester.prepare_config_and_inputs()
            self.model_tester.create_and_check_model(*__lowerCamelCase     )



       def        __lowercase    (				self     )			->   Tuple:






            '''simple docstring'''





            __snake_case      :str 							=    self.model_tester.prepare_config_and_inputs()
            self.model_tester.create_and_check_for_image_classification(*__lowerCamelCase     )



       def        __lowercase    (				self     )			->   Dict:






            '''simple docstring'''





            __snake_case							,			__snake_case      :Any 							=    self.model_tester.prepare_config_and_inputs_for_common()

            for model_class in self.all_model_classes:
                 __snake_case      :Optional[Any] 							=    model_class(__lowerCamelCase     )
                 __snake_case      :List[str] 							=    inspect.signature(model.__call__     )
                 # signature.parameters is an OrderedDict => so arg_names order is deterministic
                 __snake_case      :Any 							=    [*signature.parameters.keys()]

                 __snake_case      :Optional[Any] 							=    ["""pixel_values"""]
                 self.assertListEqual(arg_names[:1]      ,    __lowerCamelCase     )



       def        __lowercase    (				self     )			->   Tuple:






            '''simple docstring'''





            __snake_case							,			__snake_case      :int 							=    self.model_tester.prepare_config_and_inputs_for_common()

            for model_class in self.all_model_classes:
                 with self.subTest(model_class.__name__     ):
                      __snake_case      :Optional[int] 							=    self._prepare_for_class(__lowerCamelCase      ,    __lowerCamelCase     )
                      __snake_case      :Optional[int] 							=    model_class(__lowerCamelCase     )

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

                      with self.subTest("""JIT Enabled"""     ):
                           __snake_case      :str 							=    model_jitted(**__lowerCamelCase     ).to_tuple()

                      with self.subTest("""JIT Disabled"""     ):
                           with jax.disable_jit():
                                __snake_case      :int 							=    model_jitted(**__lowerCamelCase     ).to_tuple()

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



       @slow
       def        __lowercase    (				self     )			->   Any:






            '''simple docstring'''





            for model_class_name in self.all_model_classes:
                 __snake_case      :Tuple 							=    model_class_name.from_pretrained("""google/vit-base-patch16-224"""     )
                 __snake_case      :Optional[Any] 							=    model(np.ones((1, 3, 2_24, 2_24)     )     )
                 self.assertIsNotNone(__lowerCamelCase     )






import argparse
import os
import re

import packaging.version


__a	 =      """examples/"""
__a	 =      {
    """examples""": (re.compile(R"""^check_min_version\(\"[^\"]+\"\)\s*$""", re.MULTILINE), """check_min_version(\"VERSION\")\n"""),
    """init""": (re.compile(R"""^__version__\s+=\s+\"([^\"]+)\"\s*$""", re.MULTILINE), """__version__ = \"VERSION\"\n"""),
    """setup""": (re.compile(R"""^(\s*)version\s*=\s*\"[^\"]+\",""", re.MULTILINE), R"""\1version=\"VERSION\","""),
    """doc""": (re.compile(R"""^(\s*)release\s*=\s*\"[^\"]+\"$""", re.MULTILINE), """release = \"VERSION\"\n"""),
}
__a	 =      {
    """init""": """src/diffusers/__init__.py""",
    """setup""": """setup.py""",
}
__a	 =      """README.md"""
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_ )    ->Optional[Any]:
   with open(lowerCAmelCase_	,    """r"""	,    encoding="""utf-8"""	,    newline="""\n""" ) as f:
      UpperCAmelCase      					=  f.read()
   UpperCAmelCase					,	UpperCAmelCase      					=  REPLACE_PATTERNS[pattern]
   UpperCAmelCase      					=  replace.replace("""VERSION"""	,    lowerCAmelCase_ )
   UpperCAmelCase      					=  re_pattern.sub(lowerCAmelCase_	,    lowerCAmelCase_ )
   with open(lowerCAmelCase_	,    """w"""	,    encoding="""utf-8"""	,    newline="""\n""" ) as f:
      f.write(lowerCAmelCase_ )
def 	_UpperCamelCase					(    lowerCAmelCase_ )    ->int:
   for folder, directories, fnames in os.walk(lowerCAmelCase_ ):
      # Removing some of the folders with non-actively maintained examples from the walk
      if "research_projects" in directories:
         directories.remove("""research_projects""" )
      if "legacy" in directories:
         directories.remove("""legacy""" )
      for fname in fnames:
         if fname.endswith(""".py""" ):
            update_version_in_file(os.path.join(lowerCAmelCase_	,    lowerCAmelCase_ )	,    lowerCAmelCase_	,    pattern="""examples""" )
def 	_UpperCamelCase					(    lowerCAmelCase_	,    lowerCAmelCase_=False )    ->Optional[int]:
   for pattern, fname in REPLACE_FILES.items():
      update_version_in_file(lowerCAmelCase_	,    lowerCAmelCase_	,    lowerCAmelCase_ )
   if not patch:
      update_version_in_examples(lowerCAmelCase_ )
def 	_UpperCamelCase					(    )    ->List[str]:
   UpperCAmelCase      					=  """🤗 Transformers currently provides the following architectures"""
   UpperCAmelCase      					=  """1. Want to contribute a new model?"""
   with open(lowerCAmelCase_	,    """r"""	,    encoding="""utf-8"""	,    newline="""\n""" ) as f:
      UpperCAmelCase      					=  f.readlines()

   # Find the start of the list.
   UpperCAmelCase      					=  0
   while not lines[start_index].startswith(_start_prompt ):
      start_index += 1
   start_index += 1

   UpperCAmelCase      					=  start_index
   # Update the lines in the model list.
   while not lines[index].startswith(_end_prompt ):
      if lines[index].startswith("""1.""" ):
         UpperCAmelCase      					=  lines[index].replace(
             """https://huggingface.co/docs/diffusers/main/model_doc"""	,    """https://huggingface.co/docs/diffusers/model_doc"""	,    )
      index += 1

   with open(lowerCAmelCase_	,    """w"""	,    encoding="""utf-8"""	,    newline="""\n""" ) as f:
      f.writelines(lowerCAmelCase_ )
def 	_UpperCamelCase					(    )    ->List[str]:
   with open(REPLACE_FILES["""init"""]	,    """r""" ) as f:
      UpperCAmelCase      					=  f.read()
   UpperCAmelCase      					=  REPLACE_PATTERNS["""init"""][0].search(lowerCAmelCase_ ).groups()[0]
   return packaging.version.parse(lowerCAmelCase_ )
def 	_UpperCamelCase					(    lowerCAmelCase_=False )    ->int:
   UpperCAmelCase      					=  get_version()
   if patch and default_version.is_devrelease:
      raise ValueError("""Can't create a patch version from the dev branch, checkout a released version!""" )
   if default_version.is_devrelease:
      UpperCAmelCase      					=  default_version.base_version
   elif patch:
      UpperCAmelCase      					=  F"""{default_version.major}.{default_version.minor}.{default_version.micro + 1}"""
   else:
      UpperCAmelCase      					=  F"""{default_version.major}.{default_version.minor + 1}.0"""

   # Now let's ask nicely if that's the right one.
   UpperCAmelCase      					=  input(F"""Which version are you releasing? [{default_version}]""" )
   if len(lowerCAmelCase_ ) == 0:
      UpperCAmelCase      					=  default_version

   print(F"""Updating version to {version}.""" )
   global_version_update(lowerCAmelCase_	,    patch=lowerCAmelCase_ )
def 	_UpperCamelCase					(    )    ->int:
   UpperCAmelCase      					=  get_version()
   UpperCAmelCase      					=  F"""{current_version.major}.{current_version.minor + 1}.0.dev0"""
   UpperCAmelCase      					=  current_version.base_version

   # Check with the user we got that right.
   UpperCAmelCase      					=  input(F"""Which version are we developing now? [{dev_version}]""" )
   if len(lowerCAmelCase_ ) == 0:
      UpperCAmelCase      					=  dev_version

   print(F"""Updating version to {version}.""" )
   global_version_update(lowerCAmelCase_ )


#    print("Cleaning main README, don't forget to run `make fix-copies`.")
#    clean_main_ref_in_model_list()


if __name__ == "__main__":
 __a	 =      argparse.ArgumentParser()
 parser.add_argument("""--post_release""", action="""store_true""", help="""Whether this is pre or post release.""")
 parser.add_argument("""--patch""", action="""store_true""", help="""Whether or not this is a patch release.""")
 __a	 =      parser.parse_args()
 if not args.post_release:
  pre_release_work(patch=args.patch)
 elif args.patch:
  print("""Nothing to do after a patch :-)""")
 else:
  post_release_work()



