

import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    IMAGE_PROCESSOR_MAPPING,
    AutoConfig,
    AutoImageProcessor,
    CLIPConfig,
    CLIPImageProcessor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER


sys.path.append(str(Path(__file__).parent.parent.parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_image_processing import CustomImageProcessor  # noqa E402







class  lowercase				(       unittest.TestCase			):




				def     a							(					self       ):
											snake_case_							=    0




				def     a							(					self       ):
											snake_case_							=    AutoImageProcessor.from_pretrained('openai/clip-vit-base-patch32'       )
											self.assertIsInstance(UpperCamelCase__      ,   UpperCamelCase__       )




				def     a							(					self       ):


											with tempfile.TemporaryDirectory() as tmpdirname:
																		snake_case_							=    Path(UpperCamelCase__       ) / "preprocessor_config.json"
																		snake_case_							=    Path(UpperCamelCase__       ) / "config.json"
																		json.dump(
																		    {'image_processor_type': 'CLIPImageProcessor', 'processor_class': 'CLIPProcessor'}      ,   open(UpperCamelCase__      ,   'w'       )      ,   )
																		json.dump({'model_type': 'clip'}      ,   open(UpperCamelCase__      ,   'w'       )       )

																		snake_case_							=    AutoImageProcessor.from_pretrained(UpperCamelCase__       )
																		self.assertIsInstance(UpperCamelCase__      ,   UpperCamelCase__       )




				def     a							(					self       ):


											with tempfile.TemporaryDirectory() as tmpdirname:
																		snake_case_							=    Path(UpperCamelCase__       ) / "preprocessor_config.json"
																		snake_case_							=    Path(UpperCamelCase__       ) / "config.json"
																		json.dump(
																		    {'feature_extractor_type': 'CLIPFeatureExtractor', 'processor_class': 'CLIPProcessor'}      ,   open(UpperCamelCase__      ,   'w'       )      ,   )
																		json.dump({'model_type': 'clip'}      ,   open(UpperCamelCase__      ,   'w'       )       )

																		snake_case_							=    AutoImageProcessor.from_pretrained(UpperCamelCase__       )
																		self.assertIsInstance(UpperCamelCase__      ,   UpperCamelCase__       )




				def     a							(					self       ):


											with tempfile.TemporaryDirectory() as tmpdirname:
																		snake_case_							=    CLIPConfig()

																		# Create a dummy config file with image_proceesor_type
																		snake_case_							=    Path(UpperCamelCase__       ) / "preprocessor_config.json"
																		snake_case_							=    Path(UpperCamelCase__       ) / "config.json"
																		json.dump(
																		    {'image_processor_type': 'CLIPImageProcessor', 'processor_class': 'CLIPProcessor'}      ,   open(UpperCamelCase__      ,   'w'       )      ,   )
																		json.dump({'model_type': 'clip'}      ,   open(UpperCamelCase__      ,   'w'       )       )

																		# remove image_processor_type to make sure config.json alone is enough to load image processor locally
																		snake_case_							=    AutoImageProcessor.from_pretrained(UpperCamelCase__       ).to_dict()

																		config_dict.pop('image_processor_type'       )
																		snake_case_							=    CLIPImageProcessor(**UpperCamelCase__       )

																		# save in new folder
																		model_config.save_pretrained(UpperCamelCase__       )
																		config.save_pretrained(UpperCamelCase__       )

																		snake_case_							=    AutoImageProcessor.from_pretrained(UpperCamelCase__       )

																		# make sure private variable is not incorrectly saved
																		snake_case_							=    json.loads(config.to_json_string()       )
																		self.assertTrue('_processor_class' not in dict_as_saved       )

											self.assertIsInstance(UpperCamelCase__      ,   UpperCamelCase__       )




				def     a							(					self       ):


											with tempfile.TemporaryDirectory() as tmpdirname:
																		snake_case_							=    Path(UpperCamelCase__       ) / "preprocessor_config.json"
																		json.dump(
																		    {'image_processor_type': 'CLIPImageProcessor', 'processor_class': 'CLIPProcessor'}      ,   open(UpperCamelCase__      ,   'w'       )      ,   )

																		snake_case_							=    AutoImageProcessor.from_pretrained(UpperCamelCase__       )
																		self.assertIsInstance(UpperCamelCase__      ,   UpperCamelCase__       )




				def     a							(					self       ):


											with self.assertRaisesRegex(
											    UpperCamelCase__      ,   'clip-base is not a local folder and is not a valid model identifier'       ):
																		snake_case_							=    AutoImageProcessor.from_pretrained('clip-base'       )




				def     a							(					self       ):


											with self.assertRaisesRegex(
											    UpperCamelCase__      ,   R'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'       ):
																		snake_case_							=    AutoImageProcessor.from_pretrained(UpperCamelCase__      ,   revision='aaaaaa'       )




				def     a							(					self       ):


											with self.assertRaisesRegex(
											    UpperCamelCase__      ,   'hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json.'      ,   ):
																		snake_case_							=    AutoImageProcessor.from_pretrained('hf-internal-testing/config-no-model'       )




				def     a							(					self       ):


											with self.assertRaises(UpperCamelCase__       ):
																		snake_case_							=    AutoImageProcessor.from_pretrained('hf-internal-testing/test_dynamic_image_processor'       )
											# If remote code is disabled, we can't load this config.
											with self.assertRaises(UpperCamelCase__       ):
																		snake_case_							=    AutoImageProcessor.from_pretrained(
																		    'hf-internal-testing/test_dynamic_image_processor'      ,   trust_remote_code=UpperCamelCase__       )

											snake_case_							=    AutoImageProcessor.from_pretrained(
											    'hf-internal-testing/test_dynamic_image_processor'      ,   trust_remote_code=UpperCamelCase__       )
											self.assertEqual(image_processor.__class__.__name__      ,   'NewImageProcessor'       )

											# Test image processor can be reloaded.
											with tempfile.TemporaryDirectory() as tmp_dir:
																		image_processor.save_pretrained(UpperCamelCase__       )
																		snake_case_							=    AutoImageProcessor.from_pretrained(UpperCamelCase__      ,   trust_remote_code=UpperCamelCase__       )
											self.assertEqual(reloaded_image_processor.__class__.__name__      ,   'NewImageProcessor'       )




				def     a							(					self       ):


											try:
																		AutoConfig.register('custom'      ,   UpperCamelCase__       )
																		AutoImageProcessor.register(UpperCamelCase__      ,   UpperCamelCase__       )
																		# Trying to register something existing in the Transformers library will raise an error
																		with self.assertRaises(UpperCamelCase__       ):
																									AutoImageProcessor.register(UpperCamelCase__      ,   UpperCamelCase__       )

																		with tempfile.TemporaryDirectory() as tmpdirname:
																									snake_case_							=    Path(UpperCamelCase__       ) / "preprocessor_config.json"
																									snake_case_							=    Path(UpperCamelCase__       ) / "config.json"
																									json.dump(
																									    {'feature_extractor_type': 'CLIPFeatureExtractor', 'processor_class': 'CLIPProcessor'}      ,   open(UpperCamelCase__      ,   'w'       )      ,   )
																									json.dump({'model_type': 'clip'}      ,   open(UpperCamelCase__      ,   'w'       )       )

																									snake_case_							=    CustomImageProcessor.from_pretrained(UpperCamelCase__       )

																		# Now that the config is registered, it can be used as any other config with the auto-API
																		with tempfile.TemporaryDirectory() as tmp_dir:
																									image_processor.save_pretrained(UpperCamelCase__       )
																									snake_case_							=    AutoImageProcessor.from_pretrained(UpperCamelCase__       )
																									self.assertIsInstance(UpperCamelCase__      ,   UpperCamelCase__       )

											finally:
																		if "custom" in CONFIG_MAPPING._extra_content:
																									del CONFIG_MAPPING._extra_content["custom"]
																		if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
																									del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]




				def     a							(					self       ):







											class  lowercase				(       __snake_case			):
															__SCREAMING_SNAKE_CASE					: List[Any]       			=			True

											try:
																		AutoConfig.register('custom'      ,   UpperCamelCase__       )
																		AutoImageProcessor.register(UpperCamelCase__      ,   UpperCamelCase__       )
																		# If remote code is not set, the default is to use local
																		snake_case_							=    AutoImageProcessor.from_pretrained('hf-internal-testing/test_dynamic_image_processor'       )
																		self.assertEqual(image_processor.__class__.__name__      ,   'NewImageProcessor'       )
																		self.assertTrue(image_processor.is_local       )

																		# If remote code is disabled, we load the local one.
																		snake_case_							=    AutoImageProcessor.from_pretrained(
																		    'hf-internal-testing/test_dynamic_image_processor'      ,   trust_remote_code=UpperCamelCase__       )
																		self.assertEqual(image_processor.__class__.__name__      ,   'NewImageProcessor'       )
																		self.assertTrue(image_processor.is_local       )

																		# If remote is enabled, we load from the Hub
																		snake_case_							=    AutoImageProcessor.from_pretrained(
																		    'hf-internal-testing/test_dynamic_image_processor'      ,   trust_remote_code=UpperCamelCase__       )
																		self.assertEqual(image_processor.__class__.__name__      ,   'NewImageProcessor'       )
																		self.assertTrue(not hasattr(UpperCamelCase__      ,   'is_local'       )       )

											finally:
																		if "custom" in CONFIG_MAPPING._extra_content:
																									del CONFIG_MAPPING._extra_content["custom"]
																		if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
																									del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]







"""simple docstring"""


from numpy import exp, pi, sqrt






def     a__    (    __SCREAMING_SNAKE_CASE					, __SCREAMING_SNAKE_CASE = 0.0					, __SCREAMING_SNAKE_CASE = 1.0 )	->	int:
		return 1 / sqrt(2 * pi * sigma**2 ) * exp(-((x - mu) ** 2) / (2 * sigma**2) )


if __name__ == "__main__":
			import doctest

			doctest.testmod()


