





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


_UpperCAmelCase							:			Optional[int]        =							get_tests_dir("""fixtures""")

class   lowerCAmelCase				(   unittest.TestCase     ):
 def 	A_      ( self    : str      )     ->      str:
     # A mock response for an HTTP head request to emulate server down
     lowerCamelCase__       : List[Any]   					=						mock.Mock()
     lowerCamelCase__       : Any   					=						500
     lowerCamelCase__       : Union[str, Any]   					=						{}
     lowerCamelCase__       : Tuple   					=						HTTPError
     lowerCamelCase__       : List[Any]   					=						{}

     # Download this model to make sure it's in the cache.
     lowerCamelCase__       : Tuple   					=						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:
         lowerCamelCase__       : Optional[int]   					=						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    : Optional[Any]      )     ->      List[Any]:
     # This test is for deprecated behavior and can be removed in v5
     lowerCamelCase__       : int   					=						ViTImageProcessor.from_pretrained(
         'https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json'      )







 def 	A_      ( self    : Any      )     ->      List[Any]:
     with self.assertRaises(UpperCAmelCase      ):
         # config is in subfolder, the following should not work without specifying the subfolder
         lowerCamelCase__       : str   					=						AutoImageProcessor.from_pretrained('hf-internal-testing/stable-diffusion-all-variants'      )

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

     self.assertIsNotNone(UpperCAmelCase      )


@is_staging_test
class   lowerCAmelCase				(   unittest.TestCase     ):
 @classmethod
 def 	A_      ( cls    : Tuple      )     ->      Union[str, Any]:
     lowerCamelCase__       : Dict   					=						TOKEN
     HfFolder.save_token(UpperCAmelCase      )
 @classmethod
 def 	A_      ( cls    : List[str]      )     ->      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 	A_      ( self    : List[str]      )     ->      Optional[int]:
     lowerCamelCase__       : Tuple   					=						ViTImageProcessor.from_pretrained(UpperCAmelCase      )
     image_processor.push_to_hub('test-image-processor'     ,	use_auth_token=self._token      )

     lowerCamelCase__       : Optional[Any]   					=						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      )

     lowerCamelCase__       : Any   					=						ViTImageProcessor.from_pretrained(F"""{USER}/test-image-processor"""      )
     for k, v in image_processor.__dict__.items():
         self.assertEqual(UpperCAmelCase     ,	getattr(UpperCAmelCase     ,	UpperCAmelCase      )      )
 def 	A_      ( self    : str      )     ->      Union[str, Any]:
     lowerCamelCase__       : str   					=						ViTImageProcessor.from_pretrained(UpperCAmelCase      )
     image_processor.push_to_hub('valid_org/test-image-processor'     ,	use_auth_token=self._token      )

     lowerCamelCase__       : Dict   					=						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      )

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







 def 	A_      ( self    : Optional[int]      )     ->      Any:
     CustomImageProcessor.register_for_auto_class()
     lowerCamelCase__       : str   					=						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'}     ,	)

     lowerCamelCase__       : List[str]   					=						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'      )












from __future__ import annotations

import time
from collections.abc import Sequence
from random import randint

from matplotlib import pyplot as plt


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)     ->	tuple[int | None, int | None, float]:
    if not arr:
        return None, None, 0
    if low == high:
        return low, high, arr[low]

    lowerCamelCase__       : Union[str, Any]   					=						(low + high) // 2
    lowerCamelCase__					,				lowerCamelCase__					,				lowerCamelCase__       : str   					=						max_subarray(_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)
    lowerCamelCase__					,				lowerCamelCase__					,				lowerCamelCase__       : Optional[Any]   					=						max_subarray(_UpperCAmelCase		,      mid + 1		,      _UpperCAmelCase					)
    lowerCamelCase__					,				lowerCamelCase__					,				lowerCamelCase__       : int   					=						max_cross_sum(_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)
    if left_sum >= right_sum and left_sum >= cross_sum:
        return left_low, left_high, left_sum
    elif right_sum >= left_sum and right_sum >= cross_sum:
        return right_low, right_high, right_sum
    return cross_left, cross_right, cross_sum


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase		,      _UpperCAmelCase					)     ->	tuple[int, int, float]:
    lowerCamelCase__					,				lowerCamelCase__       : Union[str, Any]   					=						float('-inf'					), -1
    lowerCamelCase__					,				lowerCamelCase__       : Tuple   					=						float('-inf'					), -1

    lowerCamelCase__       : int | float   					=						0
    for i in range(_UpperCAmelCase		,      low - 1		,      -1					):
        summ += arr[i]
        if summ > left_sum:
            lowerCamelCase__       : Optional[int]   					=						summ
            lowerCamelCase__       : Tuple   					=						i

    lowerCamelCase__       : int   					=						0
    for i in range(mid + 1		,      high + 1					):
        summ += arr[i]
        if summ > right_sum:
            lowerCamelCase__       : int   					=						summ
            lowerCamelCase__       : List[Any]   					=						i

    return max_left, max_right, (left_sum + right_sum)


def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase					)     ->	float:
    lowerCamelCase__       : Any   					=						[randint(1		,      _UpperCAmelCase					) for _ in range(_UpperCAmelCase					)]
    lowerCamelCase__       : Tuple   					=						time.time()
    max_subarray(_UpperCAmelCase		,      0		,      input_size - 1					)
    lowerCamelCase__       : List[Any]   					=						time.time()
    return end - start


def 			SCREAMING_SNAKE_CASE (			)     ->	None:
    lowerCamelCase__       : Optional[Any]   					=						[10, 100, 1000, 1_0000, 5_0000, 10_0000, 20_0000, 30_0000, 40_0000, 50_0000]
    lowerCamelCase__       : Optional[Any]   					=						[time_max_subarray(_UpperCAmelCase					) for input_size in input_sizes]
    print('No of Inputs\t\tTime Taken'					)
    for input_size, runtime in zip(_UpperCAmelCase		,      _UpperCAmelCase					):
        print(_UpperCAmelCase		,      '\t\t'		,      _UpperCAmelCase					)
    plt.plot(_UpperCAmelCase		,      _UpperCAmelCase					)
    plt.xlabel('Number of Inputs'					)
    plt.ylabel('Time taken in seconds'					)
    plt.show()


if __name__ == "__main__":
    from doctest import testmod

    testmod()





