

import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoImageProcessor, ViTImageProcessor
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test


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

from test_module.custom_image_processing import CustomImageProcessor  # noqa E402


lowercase_			=  get_tests_dir("fixtures")


class 			A						(							unittest.TestCase			):







    """simple docstring"""





    def 						snake_case__					(				self			:	Any		)->   Any:





        '''simple docstring'''







        A__   				=       mock.Mock()
        A__   				=       5_0_0
        A__   				=       {}
        A__   				=       HTTPError
        A__   				=       {}

        # Download this model to make sure it's in the cache.
        A__   				=       ViTImageProcessor.from_pretrained('hf-internal-testing/tiny-random-vit'		)
        # Under the mock environment we get a 500 error when trying to reach the model.
        with mock.patch('requests.Session.request',return_value=lowercase_		) as mock_head:
            A__   				=       ViTImageProcessor.from_pretrained('hf-internal-testing/tiny-random-vit'		)
            # This check we did call the fake head request
            mock_head.assert_called()


    def 						snake_case__					(				self			:	str		)->   int:





        '''simple docstring'''







        A__   				=       ViTImageProcessor.from_pretrained(
            'https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json'		)


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





        '''simple docstring'''







        with self.assertRaises(lowercase_		):
            # config is in subfolder, the following should not work without specifying the subfolder
            A__   				=       AutoImageProcessor.from_pretrained('hf-internal-testing/stable-diffusion-all-variants'		)

        A__   				=       AutoImageProcessor.from_pretrained(
            'hf-internal-testing/stable-diffusion-all-variants',subfolder='feature_extractor'		)

        self.assertIsNotNone(lowercase_		)




@is_staging_test
class 			A						(							unittest.TestCase			):







    """simple docstring"""





    @classmethod
    def 						snake_case__					(				cls			:	Any		)->   int:





        '''simple docstring'''







        A__   				=       TOKEN
        HfFolder.save_token(lowercase_		)


    @classmethod
    def 						snake_case__					(				cls			:	List[Any]		)->   Optional[Any]:





        '''simple docstring'''







        try:
            delete_repo(token=cls._token,repo_id='test-image-processor'		)
        except HTTPError:
            pass

        try:
            delete_repo(token=cls._token,repo_id='valid_org/test-image-processor-org'		)
        except HTTPError:
            pass

        try:
            delete_repo(token=cls._token,repo_id='test-dynamic-image-processor'		)
        except HTTPError:
            pass


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





        '''simple docstring'''







        A__   				=       ViTImageProcessor.from_pretrained(lowercase_		)
        image_processor.push_to_hub('test-image-processor',use_auth_token=self._token		)

        A__   				=       ViTImageProcessor.from_pretrained(F'{USER}/test-image-processor'		)
        for k, v in image_processor.__dict__.items():
            self.assertEqual(lowercase_,getattr(lowercase_,lowercase_		)		)

        # Reset repo
        delete_repo(token=self._token,repo_id='test-image-processor'		)

        # Push to hub via save_pretrained
        with tempfile.TemporaryDirectory() as tmp_dir:
            image_processor.save_pretrained(
                lowercase_,repo_id='test-image-processor',push_to_hub=lowercase_,use_auth_token=self._token		)

        A__   				=       ViTImageProcessor.from_pretrained(F'{USER}/test-image-processor'		)
        for k, v in image_processor.__dict__.items():
            self.assertEqual(lowercase_,getattr(lowercase_,lowercase_		)		)


    def 						snake_case__					(				self			:	Any		)->   int:





        '''simple docstring'''







        A__   				=       ViTImageProcessor.from_pretrained(lowercase_		)
        image_processor.push_to_hub('valid_org/test-image-processor',use_auth_token=self._token		)

        A__   				=       ViTImageProcessor.from_pretrained('valid_org/test-image-processor'		)
        for k, v in image_processor.__dict__.items():
            self.assertEqual(lowercase_,getattr(lowercase_,lowercase_		)		)

        # Reset repo
        delete_repo(token=self._token,repo_id='valid_org/test-image-processor'		)

        # Push to hub via save_pretrained
        with tempfile.TemporaryDirectory() as tmp_dir:
            image_processor.save_pretrained(
                lowercase_,repo_id='valid_org/test-image-processor-org',push_to_hub=lowercase_,use_auth_token=self._token		)

        A__   				=       ViTImageProcessor.from_pretrained('valid_org/test-image-processor-org'		)
        for k, v in image_processor.__dict__.items():
            self.assertEqual(lowercase_,getattr(lowercase_,lowercase_		)		)


    def 						snake_case__					(				self			:	Optional[Any]		)->   Tuple:





        '''simple docstring'''







        CustomImageProcessor.register_for_auto_class()
        A__   				=       CustomImageProcessor.from_pretrained(lowercase_		)

        image_processor.push_to_hub('test-dynamic-image-processor',use_auth_token=self._token		)

        # This has added the proper auto_map field to the config
        self.assertDictEqual(
            image_processor.auto_map,{'AutoImageProcessor': 'custom_image_processing.CustomImageProcessor'},)

        A__   				=       AutoImageProcessor.from_pretrained(
            F'{USER}/test-dynamic-image-processor',trust_remote_code=lowercase_		)
        # Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
        self.assertEqual(new_image_processor.__class__.__name__,'CustomImageProcessor'		)




import random
def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list   ,      SCREAMING_SNAKE_CASE__      :     str				)							->				tuple:





    '''simple docstring'''






    A__				,						A__				,						A__   				=       [], [], []
    for element in data:
        if element < pivot:
            less.append(SCREAMING_SNAKE_CASE__				)
        elif element > pivot:
            greater.append(SCREAMING_SNAKE_CASE__				)
        else:
            equal.append(SCREAMING_SNAKE_CASE__				)
    return less, equal, greater

def 						_snake_case(   SCREAMING_SNAKE_CASE__      :     list   ,      SCREAMING_SNAKE_CASE__      :     int				)							->				str:





    '''simple docstring'''






    if index >= len(SCREAMING_SNAKE_CASE__				) or index < 0:
        return None

    A__   				=       items[random.randint(0   ,      len(SCREAMING_SNAKE_CASE__				) - 1				)]
    A__   				=       0
    A__				,						A__				,						A__   				=       _partition(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)
    A__   				=       len(SCREAMING_SNAKE_CASE__				)
    A__   				=       len(SCREAMING_SNAKE_CASE__				)

    # index is the pivot
    if m <= index < m + count:
        return pivot
    # must be in smaller
    elif m > index:
        return quick_select(SCREAMING_SNAKE_CASE__   ,      SCREAMING_SNAKE_CASE__				)
    # must be in larger
    else:
        return quick_select(SCREAMING_SNAKE_CASE__   ,      index - (m + count)				)

