






'''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


SCREAMING_SNAKE_CASE__											=     get_tests_dir('fixtures')






class        a_		(    unittest.TestCase       ):

  def 						A__		(   self   )						->   str:



        """simple docstring"""






        UpperCamelCase       						=      mock.Mock()
        UpperCamelCase       						=      500
        UpperCamelCase       						=      {}
        UpperCamelCase       						=      HTTPError
        UpperCamelCase       						=      {}

        # Download this model to make sure it's in the cache.
        UpperCamelCase       						=      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=_SCREAMING_SNAKE_CASE   ) as mock_head:
              UpperCamelCase       						=      ViTImageProcessor.from_pretrained("""hf-internal-testing/tiny-random-vit"""   )
              # This check we did call the fake head request
              mock_head.assert_called()

  def 						A__		(   self   )						->   Tuple:



        """simple docstring"""






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


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



        """simple docstring"""






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

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

        self.assertIsNotNone(_SCREAMING_SNAKE_CASE   )






@is_staging_test
class        a_		(    unittest.TestCase       ):

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



        """simple docstring"""






        UpperCamelCase       						=      TOKEN
        HfFolder.save_token(_SCREAMING_SNAKE_CASE   )

  @classmethod
  def 						A__		(   cls   )						->   Dict:



        """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 						A__		(   self   )						->   int:



        """simple docstring"""






        UpperCamelCase       						=      ViTImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE   )
        image_processor.push_to_hub("""test-image-processor"""    ,	use_auth_token=self._token   )

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

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

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

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



        """simple docstring"""






        UpperCamelCase       						=      ViTImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE   )
        image_processor.push_to_hub("""valid_org/test-image-processor"""    ,	use_auth_token=self._token   )

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

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

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


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



        """simple docstring"""






        CustomImageProcessor.register_for_auto_class()
        UpperCamelCase       						=      CustomImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE   )

        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"""}    ,	)

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

from __future__ import annotations

from typing import Any






class        a_		:

  def __init__(   self    ,	_SCREAMING_SNAKE_CASE = 6   )						->   None:



        """simple docstring"""






        UpperCamelCase       						=      None
        UpperCamelCase       						=      None
        self.create_linked_list(_SCREAMING_SNAKE_CASE   )

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE   )						->   None:



        """simple docstring"""






        UpperCamelCase       						=      Node()
        UpperCamelCase       						=      current_node
        UpperCamelCase       						=      current_node
        UpperCamelCase       						=      current_node
        for _ in range(1    ,	_SCREAMING_SNAKE_CASE   ):
              UpperCamelCase       						=      Node()
              UpperCamelCase       						=      current_node
              UpperCamelCase       						=      previous_node
              UpperCamelCase       						=      current_node
        UpperCamelCase       						=      self.front
        UpperCamelCase       						=      previous_node

  def 						A__		(   self   )						->   bool:



        """simple docstring"""






        return (
            self.front == self.rear
            and self.front is not None
            and self.front.data is None
        )

  def 						A__		(   self   )						->   Any | None:



        """simple docstring"""






        self.check_can_perform_operation()
        return self.front.data if self.front else None

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE   )						->   None:



        """simple docstring"""






        if self.rear is None:
              return

        self.check_is_full()
        if not self.is_empty():
              UpperCamelCase       						=      self.rear.next
        if self.rear:
              UpperCamelCase       						=      data

  def 						A__		(   self   )						->   Any:



        """simple docstring"""






        self.check_can_perform_operation()
        if self.rear is None or self.front is None:
              return None
        if self.front == self.rear:
              UpperCamelCase       						=      self.front.data
              UpperCamelCase       						=      None
              return data

        UpperCamelCase       						=      self.front
        UpperCamelCase       						=      old_front.next
        UpperCamelCase       						=      old_front.data
        UpperCamelCase       						=      None
        return data

  def 						A__		(   self   )						->   None:



        """simple docstring"""






        if self.is_empty():
              raise Exception("""Empty Queue"""   )


  def 						A__		(   self   )						->   None:



        """simple docstring"""






        if self.rear and self.rear.next == self.front:
              raise Exception("""Full Queue"""   )






class        a_		:

  def __init__(   self   )						->   None:



        """simple docstring"""






        UpperCamelCase       						=      None
        UpperCamelCase       						=      None
        UpperCamelCase       						=      None


if __name__ == "__main__":
     import doctest

     doctest.testmod()
