'''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


_A								=   get_tests_dir('fixtures')


class       UpperCAmelCase__  (       unittest.TestCase			):






   """simple docstring"""
   def 		_lowerCamelCase (self				)    ->     List[Any]:
        # A mock response for an HTTP head request to emulate server down
        lowercase_					:       Tuple     				=					mock.Mock()
        lowercase_					:       Any     				=					500
        lowercase_					:       Tuple     				=					{}
        lowercase_					:       str     				=					HTTPError
        lowercase_					:       int     				=					{}

        # Download this model to make sure it's in the cache.
        lowercase_					:       int     				=					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=_a				) as mock_head:
             lowercase_					:       Any     				=					ViTImageProcessor.from_pretrained('hf-internal-testing/tiny-random-vit'				)
             # This check we did call the fake head request
             mock_head.assert_called()
   def 		_lowerCamelCase (self				)    ->     Tuple:
        # This test is for deprecated behavior and can be removed in v5
        lowercase_					:       Tuple     				=					ViTImageProcessor.from_pretrained(
            'https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json'				)





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

        lowercase_					:       Optional[Any]     				=					AutoImageProcessor.from_pretrained(
            'hf-internal-testing/stable-diffusion-all-variants'       ,				subfolder='feature_extractor'				)

        self.assertIsNotNone(_a				)



@is_staging_test
class       UpperCAmelCase__  (       unittest.TestCase			):






   """simple docstring"""
   @classmethod
   def 		_lowerCamelCase (cls				)    ->     Optional[Any]:
        lowercase_					:       Optional[int]     				=					TOKEN
        HfFolder.save_token(_a				)
   @classmethod
   def 		_lowerCamelCase (cls				)    ->     int:
        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 		_lowerCamelCase (self				)    ->     str:
        lowercase_					:       List[str]     				=					ViTImageProcessor.from_pretrained(_a				)
        image_processor.push_to_hub('test-image-processor'       ,				use_auth_token=self._token				)

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

        # 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(
                 _a       ,				repo_id='test-image-processor'       ,				push_to_hub=_a       ,				use_auth_token=self._token				)

        lowercase_					:       int     				=					ViTImageProcessor.from_pretrained(f'''{USER}/test-image-processor'''				)
        for k, v in image_processor.__dict__.items():
             self.assertEqual(_a       ,				getattr(_a       ,				_a				)				)
   def 		_lowerCamelCase (self				)    ->     Tuple:
        lowercase_					:       str     				=					ViTImageProcessor.from_pretrained(_a				)
        image_processor.push_to_hub('valid_org/test-image-processor'       ,				use_auth_token=self._token				)

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

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

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





   def 		_lowerCamelCase (self				)    ->     str:
        CustomImageProcessor.register_for_auto_class()
        lowercase_					:       int     				=					CustomImageProcessor.from_pretrained(_a				)

        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'}       ,				)

        lowercase_					:       List[str]     				=					AutoImageProcessor.from_pretrained(
            f'''{USER}/test-dynamic-image-processor'''       ,				trust_remote_code=_a				)
        # 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 ...configuration_utils import PretrainedConfig
from ...utils import logging


_A								=   logging.get_logger(__name__)

_A								=   {
    'uw-madison/mra-base-512-4': 'https://huggingface.co/uw-madison/mra-base-512-4/resolve/main/config.json',
}


class       UpperCAmelCase__  (       _snake_case			):






   """simple docstring"""
   A							:       Any     =    '''mra'''
   def __init__(self       ,				_a=50_265       ,				_a=768       ,				_a=12       ,				_a=12       ,				_a=3_072       ,				_a="gelu"       ,				_a=0.1       ,				_a=0.1       ,				_a=512       ,				_a=1       ,				_a=0.02       ,				_a=1e-5       ,				_a="absolute"       ,				_a=4       ,				_a="full"       ,				_a=0       ,				_a=0       ,				_a=1       ,				_a=0       ,				_a=2       ,				**_a       ,				)    ->     int:
        super().__init__(pad_token_id=_a       ,				bos_token_id=_a       ,				eos_token_id=_a       ,				**_a				)

        lowercase_					:       Union[str, Any]     				=					vocab_size
        lowercase_					:       List[str]     				=					max_position_embeddings
        lowercase_					:       Optional[Any]     				=					hidden_size
        lowercase_					:       Optional[int]     				=					num_hidden_layers
        lowercase_					:       Dict     				=					num_attention_heads
        lowercase_					:       Optional[int]     				=					intermediate_size
        lowercase_					:       Dict     				=					hidden_act
        lowercase_					:       str     				=					hidden_dropout_prob
        lowercase_					:       int     				=					attention_probs_dropout_prob
        lowercase_					:       str     				=					initializer_range
        lowercase_					:       Union[str, Any]     				=					type_vocab_size
        lowercase_					:       Any     				=					layer_norm_eps
        lowercase_					:       Union[str, Any]     				=					position_embedding_type
        lowercase_					:       Any     				=					block_per_row
        lowercase_					:       Optional[int]     				=					approx_mode
        lowercase_					:       int     				=					initial_prior_first_n_blocks
        lowercase_					:       str     				=					initial_prior_diagonal_n_blocks




