





'''simple docstring'''

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       )		->   Optional[int]:
        _SCREAMING_SNAKE_CASE									=			mock.Mock()
        _SCREAMING_SNAKE_CASE									=			500
        _SCREAMING_SNAKE_CASE									=			{}
        _SCREAMING_SNAKE_CASE									=			HTTPError
        _SCREAMING_SNAKE_CASE									=			{}

        # Download this model to make sure it's in the cache.
        _SCREAMING_SNAKE_CASE									=			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=UpperCamelCase__       ) as mock_head:
            _SCREAMING_SNAKE_CASE									=			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       )		->   int:
        _SCREAMING_SNAKE_CASE									=			ViTImageProcessor.from_pretrained(
            """https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json"""       )





    def 			snake_case_(		self       )		->   Any:




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

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

        self.assertIsNotNone(UpperCamelCase__       )




@is_staging_test
class 					a_     (				unittest.TestCase       ):

    '''simple docstring'''


    @classmethod
    def 			snake_case_(		cls       )		->   Tuple:
        _SCREAMING_SNAKE_CASE									=			TOKEN
        HfFolder.save_token(UpperCamelCase__       )


    @classmethod
    def 			snake_case_(		cls       )		->   str:




        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       )		->   int:
        _SCREAMING_SNAKE_CASE									=			ViTImageProcessor.from_pretrained(UpperCamelCase__       )
        image_processor.push_to_hub("""test-image-processor""" ,		use_auth_token=self._token       )

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

        # 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(
                UpperCamelCase__ ,		repo_id="""test-image-processor""" ,		push_to_hub=UpperCamelCase__ ,		use_auth_token=self._token       )

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


    def 			snake_case_(		self       )		->   List[str]:
        _SCREAMING_SNAKE_CASE									=			ViTImageProcessor.from_pretrained(UpperCamelCase__       )
        image_processor.push_to_hub("""valid_org/test-image-processor""" ,		use_auth_token=self._token       )

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

        # 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(
                UpperCamelCase__ ,		repo_id="""valid_org/test-image-processor-org""" ,		push_to_hub=UpperCamelCase__ ,		use_auth_token=self._token       )

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





    def 			snake_case_(		self       )		->   int:
        CustomImageProcessor.register_for_auto_class()
        _SCREAMING_SNAKE_CASE									=			CustomImageProcessor.from_pretrained(UpperCamelCase__       )

        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"""} ,		)

        _SCREAMING_SNAKE_CASE									=			AutoImageProcessor.from_pretrained(
            f'{USER}/test-dynamic-image-processor' ,		trust_remote_code=UpperCamelCase__       )
        # 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"""       )







"""simple docstring"""



def   __lowerCAmelCase						(						lowercase  :  list )	->						int:


    """simple docstring"""





    if not grid or not grid[0]:
        raise TypeError("The grid does not contain the appropriate information" )

    for cell_n in range(1						,							len(grid[0] ) ):
        grid[0][cell_n] += grid[0][cell_n - 1]
    snake_case    :      int      					=    grid[0]

    for row_n in range(1						,							len(lowercase ) ):
        snake_case    :      Optional[Any]      					=    grid[row_n]
        snake_case    :      List[str]      					=    fill_row(lowercase						,							lowercase )
        snake_case    :      Optional[int]      					=    grid[row_n]

    return grid[-1][-1]







def   __lowerCAmelCase						(						lowercase  :  list						,							lowercase  :  list )	->						list:


    """simple docstring"""





    current_row[0] += row_above[0]
    for cell_n in range(1						,							len(lowercase ) ):
        current_row[cell_n] += min(current_row[cell_n - 1]						,							row_above[cell_n] )

    return current_row


if __name__ == "__main__":
  import doctest

  doctest.testmod()





