




import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    IMAGE_PROCESSOR_MAPPING,
    AutoConfig,
    AutoImageProcessor,
    CLIPConfig,
    CLIPImageProcessor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER


sys.path.append(str(Path(__file__).parent.parent.parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_image_processing import CustomImageProcessor  # noqa E402


class     UpperCamelCase_   (			unittest.TestCase					):

    '''simple docstring'''






    def 	SCREAMING_SNAKE_CASE							(      self				:     int)						->Dict:





           '''simple docstring'''

           A__							=   0


    def 	SCREAMING_SNAKE_CASE							(      self				:     str)						->Any:





           '''simple docstring'''

           A__							=   AutoImageProcessor.from_pretrained('''openai/clip-vit-base-patch32''')
           self.assertIsInstance(_a ,			_a)


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





           '''simple docstring'''

           with tempfile.TemporaryDirectory() as tmpdirname:
                  A__							=   Path(_a) / '''preprocessor_config.json'''
                  A__							=   Path(_a) / '''config.json'''
                  json.dump(
                      {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''} ,			open(_a ,			'''w''') ,			)
                  json.dump({'''model_type''': '''clip'''} ,			open(_a ,			'''w'''))

                  A__							=   AutoImageProcessor.from_pretrained(_a)
                  self.assertIsInstance(_a ,			_a)


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[str])						->Any:





           '''simple docstring'''

           with tempfile.TemporaryDirectory() as tmpdirname:
                  A__							=   Path(_a) / '''preprocessor_config.json'''
                  A__							=   Path(_a) / '''config.json'''
                  json.dump(
                      {'''feature_extractor_type''': '''CLIPFeatureExtractor''', '''processor_class''': '''CLIPProcessor'''} ,			open(_a ,			'''w''') ,			)
                  json.dump({'''model_type''': '''clip'''} ,			open(_a ,			'''w'''))

                  A__							=   AutoImageProcessor.from_pretrained(_a)
                  self.assertIsInstance(_a ,			_a)


    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int])						->Tuple:





           '''simple docstring'''

           with tempfile.TemporaryDirectory() as tmpdirname:
                  A__							=   CLIPConfig()

                  # Create a dummy config file with image_proceesor_type
                  A__							=   Path(_a) / '''preprocessor_config.json'''
                  A__							=   Path(_a) / '''config.json'''
                  json.dump(
                      {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''} ,			open(_a ,			'''w''') ,			)
                  json.dump({'''model_type''': '''clip'''} ,			open(_a ,			'''w'''))

                  # remove image_processor_type to make sure config.json alone is enough to load image processor locally
                  A__							=   AutoImageProcessor.from_pretrained(_a).to_dict()

                  config_dict.pop('''image_processor_type''')
                  A__							=   CLIPImageProcessor(**_a)

                  # save in new folder
                  model_config.save_pretrained(_a)
                  config.save_pretrained(_a)

                  A__							=   AutoImageProcessor.from_pretrained(_a)

                  # make sure private variable is not incorrectly saved
                  A__							=   json.loads(config.to_json_string())
                  self.assertTrue('''_processor_class''' not in dict_as_saved)

           self.assertIsInstance(_a ,			_a)


    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[Any])						->Optional[int]:





           '''simple docstring'''

           with tempfile.TemporaryDirectory() as tmpdirname:
                  A__							=   Path(_a) / '''preprocessor_config.json'''
                  json.dump(
                      {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''} ,			open(_a ,			'''w''') ,			)

                  A__							=   AutoImageProcessor.from_pretrained(_a)
                  self.assertIsInstance(_a ,			_a)


    def 	SCREAMING_SNAKE_CASE							(      self				:     Dict)						->Tuple:





           '''simple docstring'''

           with self.assertRaisesRegex(
               _a ,			'''clip-base is not a local folder and is not a valid model identifier'''):
                  A__							=   AutoImageProcessor.from_pretrained('''clip-base''')


    def 	SCREAMING_SNAKE_CASE							(      self				:     List[Any])						->int:





           '''simple docstring'''

           with self.assertRaisesRegex(
               _a ,			R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''):
                  A__							=   AutoImageProcessor.from_pretrained(_a ,			revision='''aaaaaa''')


    def 	SCREAMING_SNAKE_CASE							(      self				:     Optional[int])						->Any:





           '''simple docstring'''

           with self.assertRaisesRegex(
               _a ,			'''hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json.''' ,			):
                  A__							=   AutoImageProcessor.from_pretrained('''hf-internal-testing/config-no-model''')


    def 	SCREAMING_SNAKE_CASE							(      self				:     int)						->Union[str, Any]:





           '''simple docstring'''

           with self.assertRaises(_a):
                  A__							=   AutoImageProcessor.from_pretrained('''hf-internal-testing/test_dynamic_image_processor''')
           # If remote code is disabled, we can't load this config.
           with self.assertRaises(_a):
                  A__							=   AutoImageProcessor.from_pretrained(
                      '''hf-internal-testing/test_dynamic_image_processor''' ,			trust_remote_code=_a)

           A__							=   AutoImageProcessor.from_pretrained(
               '''hf-internal-testing/test_dynamic_image_processor''' ,			trust_remote_code=_a)
           self.assertEqual(image_processor.__class__.__name__ ,			'''NewImageProcessor''')

           # Test image processor can be reloaded.
           with tempfile.TemporaryDirectory() as tmp_dir:
                  image_processor.save_pretrained(_a)
                  A__							=   AutoImageProcessor.from_pretrained(_a ,			trust_remote_code=_a)
           self.assertEqual(reloaded_image_processor.__class__.__name__ ,			'''NewImageProcessor''')


    def 	SCREAMING_SNAKE_CASE							(      self				:     Any)						->Optional[int]:





           '''simple docstring'''

           try:
                  AutoConfig.register('''custom''' ,			_a)
                  AutoImageProcessor.register(_a ,			_a)
                  # Trying to register something existing in the Transformers library will raise an error
                  with self.assertRaises(_a):
                         AutoImageProcessor.register(_a ,			_a)

                  with tempfile.TemporaryDirectory() as tmpdirname:
                         A__							=   Path(_a) / '''preprocessor_config.json'''
                         A__							=   Path(_a) / '''config.json'''
                         json.dump(
                             {'''feature_extractor_type''': '''CLIPFeatureExtractor''', '''processor_class''': '''CLIPProcessor'''} ,			open(_a ,			'''w''') ,			)
                         json.dump({'''model_type''': '''clip'''} ,			open(_a ,			'''w'''))

                         A__							=   CustomImageProcessor.from_pretrained(_a)

                  # Now that the config is registered, it can be used as any other config with the auto-API
                  with tempfile.TemporaryDirectory() as tmp_dir:
                         image_processor.save_pretrained(_a)
                         A__							=   AutoImageProcessor.from_pretrained(_a)
                         self.assertIsInstance(_a ,			_a)

           finally:
                  if "custom" in CONFIG_MAPPING._extra_content:
                         del CONFIG_MAPPING._extra_content["custom"]
                  if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
                         del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]





    def 	SCREAMING_SNAKE_CASE							(      self				:     Any)						->int:





           '''simple docstring'''

           class     UpperCamelCase_   (			UpperCAmelCase__					):

               '''simple docstring'''






               UpperCAmelCase__							  =				True

           try:
                  AutoConfig.register('''custom''' ,			_a)
                  AutoImageProcessor.register(_a ,			_a)
                  # If remote code is not set, the default is to use local
                  A__							=   AutoImageProcessor.from_pretrained('''hf-internal-testing/test_dynamic_image_processor''')
                  self.assertEqual(image_processor.__class__.__name__ ,			'''NewImageProcessor''')
                  self.assertTrue(image_processor.is_local)

                  # If remote code is disabled, we load the local one.
                  A__							=   AutoImageProcessor.from_pretrained(
                      '''hf-internal-testing/test_dynamic_image_processor''' ,			trust_remote_code=_a)
                  self.assertEqual(image_processor.__class__.__name__ ,			'''NewImageProcessor''')
                  self.assertTrue(image_processor.is_local)

                  # If remote is enabled, we load from the Hub
                  A__							=   AutoImageProcessor.from_pretrained(
                      '''hf-internal-testing/test_dynamic_image_processor''' ,			trust_remote_code=_a)
                  self.assertEqual(image_processor.__class__.__name__ ,			'''NewImageProcessor''')
                  self.assertTrue(not hasattr(_a ,			'''is_local'''))

           finally:
                  if "custom" in CONFIG_MAPPING._extra_content:
                         del CONFIG_MAPPING._extra_content["custom"]
                  if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
                         del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]







def SCREAMING_SNAKE_CASE    (	lowercase_ = 50						)       ->	int:



       """simple docstring"""

       A__							=   [1] * (length + 1)

       for row_length in range(3			,    length + 1						):
              for block_length in range(3			,    row_length + 1						):
                     for block_start in range(row_length - block_length						):
                            ways_number[row_length] += ways_number[
                                row_length - block_start - block_length - 1
                            ]

                     ways_number[row_length] += 1

       return ways_number[length]


if __name__ == "__main__":
  print(F'''{solution() = }''')


