






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


SCREAMING_SNAKE_CASE__   :      str				=		get_tests_dir("""fixtures""")
SCREAMING_SNAKE_CASE__   :      Optional[Any]				=		get_tests_dir("""fixtures/dummy_feature_extractor_config.json""")
SCREAMING_SNAKE_CASE__   :      List[Any]				=		get_tests_dir("""fixtures/dummy-config.json""")
class     lowerCamelCase_					(   unittest.TestCase			):







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:str   =   0







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:int   =   AutoFeatureExtractor.from_pretrained('''facebook/wav2vec2-base-960h'''  )
								self.assertIsInstance(__lowerCAmelCase							,       __lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:List[str]   =   AutoFeatureExtractor.from_pretrained(__lowerCAmelCase  )
								self.assertIsInstance(__lowerCAmelCase							,       __lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								with tempfile.TemporaryDirectory() as tmpdirname:
												__magic_name__		:Dict   =   WavaVecaConfig()

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

												config_dict.pop('''feature_extractor_type'''  )
												__magic_name__		:Tuple   =   WavaVecaFeatureExtractor(**__lowerCAmelCase  )

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

												__magic_name__		:Optional[Any]   =   AutoFeatureExtractor.from_pretrained(__lowerCAmelCase  )

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

								self.assertIsInstance(__lowerCAmelCase							,       __lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								__magic_name__		:List[str]   =   AutoFeatureExtractor.from_pretrained(__lowerCAmelCase  )
								self.assertIsInstance(__lowerCAmelCase							,       __lowerCAmelCase  )







				def       A						(    self  ):
								"""simple docstring"""
								with self.assertRaisesRegex(
								    __lowerCAmelCase							,       '''bert-base is not a local folder and is not a valid model identifier'''  ):
												__magic_name__		:Dict   =   AutoFeatureExtractor.from_pretrained('''bert-base'''  )







				def       A						(    self  ):
								"""simple docstring"""
								with self.assertRaisesRegex(
								    __lowerCAmelCase							,       R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''  ):
												__magic_name__		:Dict   =   AutoFeatureExtractor.from_pretrained(__lowerCAmelCase							,       revision='''aaaaaa'''  )







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







				def       A						(    self  ):
								"""simple docstring"""
								# If remote code is not set, we will time out when asking whether to load the model.
								with self.assertRaises(__lowerCAmelCase  ):
												__magic_name__		:Optional[int]   =   AutoFeatureExtractor.from_pretrained(
												    '''hf-internal-testing/test_dynamic_feature_extractor'''  )
								# If remote code is disabled, we can't load this config.
								with self.assertRaises(__lowerCAmelCase  ):
												__magic_name__		:Union[str, Any]   =   AutoFeatureExtractor.from_pretrained(
												    '''hf-internal-testing/test_dynamic_feature_extractor'''							,       trust_remote_code=__lowerCAmelCase  )

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

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







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

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

								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       A						(    self  ):
								"""simple docstring"""
								class     lowerCamelCase_					(   lowerCamelCase			):
												a__       							=	True

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

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














SCREAMING_SNAKE_CASE__   :      Tuple				=		{
    """a""": """AAAAA""",
    """b""": """AAAAB""",
    """c""": """AAABA""",
    """d""": """AAABB""",
    """e""": """AABAA""",
    """f""": """AABAB""",
    """g""": """AABBA""",
    """h""": """AABBB""",
    """i""": """ABAAA""",
    """j""": """BBBAA""",
    """k""": """ABAAB""",
    """l""": """ABABA""",
    """m""": """ABABB""",
    """n""": """ABBAA""",
    """o""": """ABBAB""",
    """p""": """ABBBA""",
    """q""": """ABBBB""",
    """r""": """BAAAA""",
    """s""": """BAAAB""",
    """t""": """BAABA""",
    """u""": """BAABB""",
    """v""": """BBBAB""",
    """w""": """BABAA""",
    """x""": """BABAB""",
    """y""": """BABBA""",
    """z""": """BABBB""",
    """ """: """ """,
}


SCREAMING_SNAKE_CASE__   :      Union[str, Any]				=		{value: key for key, value in encode_dict.items()}

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				__magic_name__		:Tuple   =   ''''''
				for letter in word.lower():
								if letter.isalpha() or letter == " ":
												encoded += encode_dict[letter]
								else:
												raise Exception('''encode() accepts only letters of the alphabet and spaces'''			)
				return encoded

def   __lowercase       (			snake_case			):







				"""simple docstring"""






				if set(snake_case			) - {"A", "B", " "} != set():
								raise Exception('''decode() accepts only \'A\', \'B\' and spaces'''			)
				__magic_name__		:Dict   =   ''''''
				for word in coded.split():
								while len(snake_case			) != 0:
												decoded += decode_dict[word[:5]]
												__magic_name__		:int   =   word[5:]
								decoded += " "
				return decoded.strip()


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

					testmod()






