


'''simple docstring'''

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

import transformers
from transformers import (
    CONFIG_MAPPING,
    FEATURE_EXTRACTOR_MAPPING,
    AutoConfig,
    AutoFeatureExtractor,
    WavaVecaConfig,
    WavaVecaFeatureExtractor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


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

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_feature_extraction import CustomFeatureExtractor  # noqa E402


_UpperCAmelCase				: Tuple							    =				get_tests_dir("""fixtures""")
_UpperCAmelCase				: str							    =				get_tests_dir("""fixtures/dummy_feature_extractor_config.json""")
_UpperCAmelCase				: Optional[int]							    =				get_tests_dir("""fixtures/dummy-config.json""")


class       a__				( unittest.TestCase      ):







				"""simple docstring"""



				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				0




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained('''facebook/wav2vec2-base-960h'''		)
										self.assertIsInstance(__lowercase       ,			__lowercase		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(__lowercase		)
										self.assertIsInstance(__lowercase       ,			__lowercase		)




				def 					_snake_case  (self		):
										with tempfile.TemporaryDirectory() as tmpdirname:
																__lowerCAmelCase							       =				WavaVecaConfig()

																# remove feature_extractor_type to make sure config.json alone is enough to load feature processor locally
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(__lowercase		).to_dict()

																config_dict.pop('''feature_extractor_type'''		)
																__lowerCAmelCase							       =				WavaVecaFeatureExtractor(**__lowercase		)

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

																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(__lowercase		)

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

										self.assertIsInstance(__lowercase       ,			__lowercase		)




				def 					_snake_case  (self		):
										__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(__lowercase		)
										self.assertIsInstance(__lowercase       ,			__lowercase		)




				def 					_snake_case  (self		):
										with self.assertRaisesRegex(
										    __lowercase       ,			'''bert-base is not a local folder and is not a valid model identifier'''		):
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained('''bert-base'''		)




				def 					_snake_case  (self		):
										with self.assertRaisesRegex(
										    __lowercase       ,			R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''		):
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(__lowercase       ,			revision='''aaaaaa'''		)




				def 					_snake_case  (self		):
										with self.assertRaisesRegex(
										    __lowercase       ,			'''hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json.'''       ,			):
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained('''hf-internal-testing/config-no-model'''		)




				def 					_snake_case  (self		):
										# If remote code is not set, we will time out when asking whether to load the model.
										with self.assertRaises(__lowercase		):
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(
																    '''hf-internal-testing/test_dynamic_feature_extractor'''		)
										# If remote code is disabled, we can't load this config.
										with self.assertRaises(__lowercase		):
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(
																    '''hf-internal-testing/test_dynamic_feature_extractor'''       ,			trust_remote_code=__lowercase		)

										__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(
										    '''hf-internal-testing/test_dynamic_feature_extractor'''       ,			trust_remote_code=__lowercase		)
										self.assertEqual(feature_extractor.__class__.__name__       ,			'''NewFeatureExtractor'''		)

										# Test feature extractor can be reloaded.
										with tempfile.TemporaryDirectory() as tmp_dir:
																feature_extractor.save_pretrained(__lowercase		)
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(__lowercase       ,			trust_remote_code=__lowercase		)
										self.assertEqual(reloaded_feature_extractor.__class__.__name__       ,			'''NewFeatureExtractor'''		)




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

																# Now that the config is registered, it can be used as any other config with the auto-API
																__lowerCAmelCase							       =				CustomFeatureExtractor.from_pretrained(__lowercase		)
																with tempfile.TemporaryDirectory() as tmp_dir:
																						feature_extractor.save_pretrained(__lowercase		)
																						__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(__lowercase		)
																						self.assertIsInstance(__lowercase       ,			__lowercase		)

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




				def 					_snake_case  (self		):


										class       a__				( __A      ):







														"""simple docstring"""



														__UpperCamelCase    :		List[Any]	=	True

										try:
																AutoConfig.register('''custom'''       ,			__lowercase		)
																AutoFeatureExtractor.register(__lowercase       ,			__lowercase		)
																# If remote code is not set, the default is to use local
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(
																    '''hf-internal-testing/test_dynamic_feature_extractor'''		)
																self.assertEqual(feature_extractor.__class__.__name__       ,			'''NewFeatureExtractor'''		)
																self.assertTrue(feature_extractor.is_local		)

																# If remote code is disabled, we load the local one.
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(
																    '''hf-internal-testing/test_dynamic_feature_extractor'''       ,			trust_remote_code=__lowercase		)
																self.assertEqual(feature_extractor.__class__.__name__       ,			'''NewFeatureExtractor'''		)
																self.assertTrue(feature_extractor.is_local		)

																# If remote is enabled, we load from the Hub
																__lowerCAmelCase							       =				AutoFeatureExtractor.from_pretrained(
																    '''hf-internal-testing/test_dynamic_feature_extractor'''       ,			trust_remote_code=__lowercase		)
																self.assertEqual(feature_extractor.__class__.__name__       ,			'''NewFeatureExtractor'''		)
																self.assertTrue(not hasattr(__lowercase       ,			'''is_local'''		)		)

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





'''simple docstring'''

from __future__ import annotations

def 							__magic_name__(						lowerCamelCase,				lowerCamelCase):
						__lowerCAmelCase							       =				sorted(numsa + numsa)
						__lowerCAmelCase       ,					__lowerCAmelCase							       =				divmod(len(lowerCamelCase),				2)
						if mod == 1:
												return all_numbers[div]
						else:
												return (all_numbers[div] + all_numbers[div - 1]) / 2


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	_UpperCAmelCase				: Union[str, Any]							    =				[float(x) for x in input("""Enter the elements of first array: """).split()]
	_UpperCAmelCase				: int							    =				[float(x) for x in input("""Enter the elements of second array: """).split()]
	print(f"""The median of two arrays is: {median_of_two_arrays(array_a, array_a)}""")

