





'''simple docstring'''





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 					lowercase__ (			unittest.TestCase       ):

   '''simple docstring'''


   def    UpperCamelCase__						(					self							)				->   Optional[Any]:






       """simple docstring"""
       UpperCamelCase__							:       Optional[int]      =   0




   def    UpperCamelCase__						(					self							)				->   Optional[Any]:






       """simple docstring"""
       UpperCamelCase__							:       str      =   AutoImageProcessor.from_pretrained('''openai/clip-vit-base-patch32'''							)
       self.assertIsInstance(snake_case_,	snake_case_							)




   def    UpperCamelCase__						(					self							)				->   List[str]:






       """simple docstring"""
       with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase__							:       Dict      =   Path(snake_case_							) / "preprocessor_config.json"
           UpperCamelCase__							:       List[str]      =   Path(snake_case_							) / "config.json"
           json.dump(
               {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''},	open(snake_case_,	'''w'''							),	)
           json.dump({'''model_type''': '''clip'''},	open(snake_case_,	'''w'''							)							)

           UpperCamelCase__							:       Optional[Any]      =   AutoImageProcessor.from_pretrained(snake_case_							)
           self.assertIsInstance(snake_case_,	snake_case_							)




   def    UpperCamelCase__						(					self							)				->   Dict:






       """simple docstring"""
       # Ensure we can load the image processor from the feature extractor config
       with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase__							:       str      =   Path(snake_case_							) / "preprocessor_config.json"
           UpperCamelCase__							:       Dict      =   Path(snake_case_							) / "config.json"
           json.dump(
               {'''feature_extractor_type''': '''CLIPFeatureExtractor''', '''processor_class''': '''CLIPProcessor'''},	open(snake_case_,	'''w'''							),	)
           json.dump({'''model_type''': '''clip'''},	open(snake_case_,	'''w'''							)							)

           UpperCamelCase__							:       Dict      =   AutoImageProcessor.from_pretrained(snake_case_							)
           self.assertIsInstance(snake_case_,	snake_case_							)




   def    UpperCamelCase__						(					self							)				->   str:






       """simple docstring"""
       with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase__							:       Tuple      =   CLIPConfig()

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

           # remove image_processor_type to make sure config.json alone is enough to load image processor locally
           UpperCamelCase__							:       int      =   AutoImageProcessor.from_pretrained(snake_case_							).to_dict()

           config_dict.pop('''image_processor_type'''							)
           UpperCamelCase__							:       Dict      =   CLIPImageProcessor(**snake_case_							)

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

           UpperCamelCase__							:       List[Any]      =   AutoImageProcessor.from_pretrained(snake_case_							)

           # make sure private variable is not incorrectly saved
           UpperCamelCase__							:       Union[str, Any]      =   json.loads(config.to_json_string()							)
           self.assertTrue('''_processor_class''' not in dict_as_saved							)

       self.assertIsInstance(snake_case_,	snake_case_							)




   def    UpperCamelCase__						(					self							)				->   List[Any]:






       """simple docstring"""
       with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase__							:       Tuple      =   Path(snake_case_							) / "preprocessor_config.json"
           json.dump(
               {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''},	open(snake_case_,	'''w'''							),	)

           UpperCamelCase__							:       Optional[Any]      =   AutoImageProcessor.from_pretrained(snake_case_							)
           self.assertIsInstance(snake_case_,	snake_case_							)




   def    UpperCamelCase__						(					self							)				->   Optional[int]:






       """simple docstring"""
       with self.assertRaisesRegex(
           snake_case_,	'''clip-base is not a local folder and is not a valid model identifier'''							):
           UpperCamelCase__							:       Optional[Any]      =   AutoImageProcessor.from_pretrained('''clip-base'''							)




   def    UpperCamelCase__						(					self							)				->   Dict:






       """simple docstring"""
       with self.assertRaisesRegex(
           snake_case_,	R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''							):
           UpperCamelCase__							:       List[str]      =   AutoImageProcessor.from_pretrained(snake_case_,	revision='''aaaaaa'''							)




   def    UpperCamelCase__						(					self							)				->   Tuple:






       """simple docstring"""
       with self.assertRaisesRegex(
           snake_case_,	'''hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json.''',	):
           UpperCamelCase__							:       str      =   AutoImageProcessor.from_pretrained('''hf-internal-testing/config-no-model'''							)




   def    UpperCamelCase__						(					self							)				->   str:






       """simple docstring"""
       # If remote code is not set, we will time out when asking whether to load the model.
       with self.assertRaises(snake_case_							):
           UpperCamelCase__							:       str      =   AutoImageProcessor.from_pretrained('''hf-internal-testing/test_dynamic_image_processor'''							)
       # If remote code is disabled, we can't load this config.
       with self.assertRaises(snake_case_							):
           UpperCamelCase__							:       Union[str, Any]      =   AutoImageProcessor.from_pretrained(
               '''hf-internal-testing/test_dynamic_image_processor''',	trust_remote_code=snake_case_							)

       UpperCamelCase__							:       Dict      =   AutoImageProcessor.from_pretrained(
           '''hf-internal-testing/test_dynamic_image_processor''',	trust_remote_code=snake_case_							)
       self.assertEqual(image_processor.__class__.__name__,	'''NewImageProcessor'''							)

       # Test image processor can be reloaded.
       with tempfile.TemporaryDirectory() as tmp_dir:
           image_processor.save_pretrained(snake_case_							)
           UpperCamelCase__							:       Optional[Any]      =   AutoImageProcessor.from_pretrained(snake_case_,	trust_remote_code=snake_case_							)
       self.assertEqual(reloaded_image_processor.__class__.__name__,	'''NewImageProcessor'''							)




   def    UpperCamelCase__						(					self							)				->   int:






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

           with tempfile.TemporaryDirectory() as tmpdirname:
               UpperCamelCase__							:       Optional[Any]      =   Path(snake_case_							) / "preprocessor_config.json"
               UpperCamelCase__							:       Dict      =   Path(snake_case_							) / "config.json"
               json.dump(
                   {'''feature_extractor_type''': '''CLIPFeatureExtractor''', '''processor_class''': '''CLIPProcessor'''},	open(snake_case_,	'''w'''							),	)
               json.dump({'''model_type''': '''clip'''},	open(snake_case_,	'''w'''							)							)

               UpperCamelCase__							:       Tuple      =   CustomImageProcessor.from_pretrained(snake_case_							)

           # 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(snake_case_							)
               UpperCamelCase__							:       Optional[Any]      =   AutoImageProcessor.from_pretrained(snake_case_							)
               self.assertIsInstance(snake_case_,	snake_case_							)

       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    UpperCamelCase__						(					self							)				->   Dict:






       """simple docstring"""






       class 					lowercase__ (			_snake_case       ):

          '''simple docstring'''


          a		:							str     	=	True

       try:
           AutoConfig.register('''custom''',	snake_case_							)
           AutoImageProcessor.register(snake_case_,	snake_case_							)
           # If remote code is not set, the default is to use local
           UpperCamelCase__							:       Union[str, Any]      =   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.
           UpperCamelCase__							:       Union[str, Any]      =   AutoImageProcessor.from_pretrained(
               '''hf-internal-testing/test_dynamic_image_processor''',	trust_remote_code=snake_case_							)
           self.assertEqual(image_processor.__class__.__name__,	'''NewImageProcessor'''							)
           self.assertTrue(image_processor.is_local							)

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








from __future__ import annotations




def 	lowerCAmelCase_					(						__UpperCAmelCase:    str	,     __UpperCAmelCase:    str   )   ->			bool:
    UpperCamelCase__							:       List[str]      =   get_failure_array(__UpperCAmelCase   )

    # 2) Step through text searching for pattern
    UpperCamelCase__     ,UpperCamelCase__							:       Dict      =   0, 0  # index into text, pattern
    while i < len(__UpperCAmelCase   ):
        if pattern[j] == text[i]:
            if j == (len(__UpperCAmelCase   ) - 1):
                return True
            j += 1

        # if this is a prefix in our pattern
        # just go back far enough to continue
        elif j > 0:
            UpperCamelCase__							:       Optional[int]      =   failure[j - 1]
            continue
        i += 1
    return False




def 	lowerCAmelCase_					(						__UpperCAmelCase:    str   )   ->			list[int]:
    UpperCamelCase__							:       Union[str, Any]      =   [0]
    UpperCamelCase__							:       Tuple      =   0
    UpperCamelCase__							:       Tuple      =   1
    while j < len(__UpperCAmelCase   ):
        if pattern[i] == pattern[j]:
            i += 1
        elif i > 0:
            UpperCamelCase__							:       str      =   failure[i - 1]
            continue
        j += 1
        failure.append(__UpperCAmelCase   )
    return failure


if __name__ == "__main__":
  # Test 1)
  UpperCAmelCase_  							=				'abc1abc12'
  UpperCAmelCase_  							=				'alskfjaldsabc1abc1abc12k23adsfabcabc'
  UpperCAmelCase_  							=				'alskfjaldsk23adsfabcabc'
  assert kmp(pattern, texta) and not kmp(pattern, texta)

  # Test 2)
  UpperCAmelCase_  							=				'ABABX'
  UpperCAmelCase_  							=				'ABABZABABYABABX'
  assert kmp(pattern, text)

  # Test 3)
  UpperCAmelCase_  							=				'AAAB'
  UpperCAmelCase_  							=				'ABAAAAAB'
  assert kmp(pattern, text)

  # Test 4)
  UpperCAmelCase_  							=				'abcdabcy'
  UpperCAmelCase_  							=				'abcxabcdabxabcdabcdabcy'
  assert kmp(pattern, text)

  # Test 5)
  UpperCAmelCase_  							=				'aabaabaaa'
  assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]

