
"""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


lowerCAmelCase__							=				get_tests_dir('fixtures')





class  snake_case     (							unittest.TestCase   ):

							def _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = mock.Mock()
									SCREAMING_SNAKE_CASE_						 = 5_00
									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=SCREAMING_SNAKE_CASE_    ) 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 _lowercase					(self    ):

									"""simple docstring"""







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







							def _lowercase					(self    ):

									"""simple docstring"""







									with self.assertRaises(SCREAMING_SNAKE_CASE_    ):
											# 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(SCREAMING_SNAKE_CASE_    )







@is_staging_test
class  snake_case     (							unittest.TestCase   ):

							@classmethod
							def _lowercase					(cls    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = TOKEN
									HfFolder.save_token(SCREAMING_SNAKE_CASE_    )

							@classmethod
							def _lowercase					(cls    ):

									"""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 _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = ViTImageProcessor.from_pretrained(SCREAMING_SNAKE_CASE_    )
									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(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    )

									SCREAMING_SNAKE_CASE_						 = 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 _lowercase					(self    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = ViTImageProcessor.from_pretrained(SCREAMING_SNAKE_CASE_    )
									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(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    )

									SCREAMING_SNAKE_CASE_						 = 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 _lowercase					(self    ):

									"""simple docstring"""







									CustomImageProcessor.register_for_auto_class()
									SCREAMING_SNAKE_CASE_						 = 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'''}       ,       )

									SCREAMING_SNAKE_CASE_						 = 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 collections.abc import Sequence
from queue import Queue





class  snake_case     :

							def __init__(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_=None       ,       SCREAMING_SNAKE_CASE_=None    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = start
									SCREAMING_SNAKE_CASE_						 = end
									SCREAMING_SNAKE_CASE_						 = val
									SCREAMING_SNAKE_CASE_						 = (start + end) // 2
									SCREAMING_SNAKE_CASE_						 = left
									SCREAMING_SNAKE_CASE_						 = right







							def __repr__(self    ):

									"""simple docstring"""







									return f'SegmentTreeNode(start={self.start}, end={self.end}, val={self.val})'







class  snake_case     :

							def __init__(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									SCREAMING_SNAKE_CASE_						 = collection
									SCREAMING_SNAKE_CASE_						 = function
									if self.collection:
											SCREAMING_SNAKE_CASE_						 = self._build_tree(0       ,       len(SCREAMING_SNAKE_CASE_    ) - 1    )

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									self._update_tree(self.root       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									return self._query_range(self.root       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									if start == end:
											return SegmentTreeNode(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       self.collection[start]    )
									SCREAMING_SNAKE_CASE_						 = (start + end) // 2
									SCREAMING_SNAKE_CASE_						 = self._build_tree(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )
									SCREAMING_SNAKE_CASE_						 = self._build_tree(mid + 1       ,       SCREAMING_SNAKE_CASE_    )
									return SegmentTreeNode(SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       self.fn(left.val       ,       right.val    )       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									if node.start == i and node.end == i:
											SCREAMING_SNAKE_CASE_						 = val
											return
									if i <= node.mid:
											self._update_tree(node.left       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )
									else:
											self._update_tree(node.right       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )
									SCREAMING_SNAKE_CASE_						 = self.fn(node.left.val       ,       node.right.val    )

							def _lowercase					(self       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    ):

									"""simple docstring"""







									if node.start == i and node.end == j:
											return node.val

									if i <= node.mid:
											if j <= node.mid:
													# range in left child tree
													return self._query_range(node.left       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )
											else:
													# range in left child tree and right child tree
													return self.fn(
													    self._query_range(node.left       ,       SCREAMING_SNAKE_CASE_       ,       node.mid    )       ,       self._query_range(node.right       ,       node.mid + 1       ,       SCREAMING_SNAKE_CASE_    )       ,       )
									else:
											# range in right child tree
											return self._query_range(node.right       ,       SCREAMING_SNAKE_CASE_       ,       SCREAMING_SNAKE_CASE_    )







							def _lowercase					(self    ):

									"""simple docstring"""







									if self.root is not None:
											SCREAMING_SNAKE_CASE_						 = Queue()
											queue.put(self.root    )
											while not queue.empty():
													SCREAMING_SNAKE_CASE_						 = queue.get()
													yield node

													if node.left is not None:
															queue.put(node.left    )

													if node.right is not None:
															queue.put(node.right    )


if __name__ == "__main__":
						import operator

						for fn in [operator.add, max, min]:
												print('*' * 50)
												lowerCAmelCase__							=				SegmentTree([2, 1, 5, 3, 4], fn)
												for node in arr.traverse():
																		print(node)
												print()

												arr.update(1, 5)
												for node in arr.traverse():
																		print(node)
												print()

												print(arr.query_range(3, 4))  # 7
												print(arr.query_range(2, 2))  # 5
												print(arr.query_range(1, 3))  # 13
												print()