



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 			_snake_case     (   unittest.TestCase):




				def 							A__ (  self   :  Tuple  ):
							# A mock response for an HTTP head request to emulate server down
							lowercase__   					=			mock.Mock()
							lowercase__   					=			500
							lowercase__   					=			{}
							lowercase__   					=			HTTPError
							lowercase__   					=			{}

							# Download this model to make sure it's in the cache.
							lowercase__   					=			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=__lowercase  ) as mock_head:
										lowercase__   					=			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   :  Dict  ):
							# This test is for deprecated behavior and can be removed in v5
							lowercase__   					=			ViTImageProcessor.from_pretrained(
							    "https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json"  )




				def 							A__ (  self   :  List[str]  ):
							with self.assertRaises(__lowercase  ):
										# config is in subfolder, the following should not work without specifying the subfolder
										lowercase__   					=			AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants"  )

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

							self.assertIsNotNone(__lowercase  )
@is_staging_test
class 			_snake_case     (   unittest.TestCase):




				@classmethod
				def 							A__ (  cls   :  int  ):
							lowercase__   					=			TOKEN
							HfFolder.save_token(__lowercase  )




				@classmethod
				def 							A__ (  cls   :  Optional[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 							A__ (  self   :  Tuple  ):
							lowercase__   					=			ViTImageProcessor.from_pretrained(__lowercase  )
							image_processor.push_to_hub("test-image-processor",   use_auth_token=self._token  )

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

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

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




				def 							A__ (  self   :  str  ):
							lowercase__   					=			ViTImageProcessor.from_pretrained(__lowercase  )
							image_processor.push_to_hub("valid_org/test-image-processor",   use_auth_token=self._token  )

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

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

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




				def 							A__ (  self   :  List[str]  ):
							CustomImageProcessor.register_for_auto_class()
							lowercase__   					=			CustomImageProcessor.from_pretrained(__lowercase  )

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









import fire

from utils import calculate_rouge, save_json



def __lowerCAmelCase	(       SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_=None  ,					**SCREAMING_SNAKE_CASE_					):
			lowercase__   					=			[x.strip() for x in open(SCREAMING_SNAKE_CASE_					).readlines()]
			lowercase__   					=			[x.strip() for x in open(SCREAMING_SNAKE_CASE_					).readlines()][: len(SCREAMING_SNAKE_CASE_					)]
			lowercase__   					=			calculate_rouge(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					**SCREAMING_SNAKE_CASE_					)
			if save_path is not None:
						save_json(SCREAMING_SNAKE_CASE_  ,					SCREAMING_SNAKE_CASE_  ,					indent=SCREAMING_SNAKE_CASE_					)
			return metrics  # these print nicely


if __name__ == "__main__":
							fire.Fire(calculate_rouge_path)




