

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


__A			:					Tuple						=			get_tests_dir('fixtures')
__A			:					int						=			get_tests_dir('fixtures/dummy_feature_extractor_config.json')
__A			:					Union[str, Any]						=			get_tests_dir('fixtures/dummy-config.json')





class 			_SCREAMING_SNAKE_CASE (   unittest.TestCase		):







   '''simple docstring'''




   def      _snake_case		(       self					:			List[str]			):
       SCREAMING_SNAKE_CASE										=   0





   def      _snake_case		(       self					:			Optional[int]			):
       SCREAMING_SNAKE_CASE										=   AutoFeatureExtractor.from_pretrained("facebook/wav2vec2-base-960h"			)
       self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase			)





   def      _snake_case		(       self					:			Dict			):
       SCREAMING_SNAKE_CASE										=   AutoFeatureExtractor.from_pretrained(__lowerCamelCase			)
       self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase			)





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

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

           config_dict.pop("feature_extractor_type"			)
           SCREAMING_SNAKE_CASE										=   WavaVecaFeatureExtractor(**__lowerCamelCase			)

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

           SCREAMING_SNAKE_CASE										=   AutoFeatureExtractor.from_pretrained(__lowerCamelCase			)

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

       self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase			)





   def      _snake_case		(       self					:			Dict			):
       SCREAMING_SNAKE_CASE										=   AutoFeatureExtractor.from_pretrained(__lowerCamelCase			)
       self.assertIsInstance(__lowerCamelCase     , __lowerCamelCase			)





   def      _snake_case		(       self					:			Union[str, Any]			):
       with self.assertRaisesRegex(
           __lowerCamelCase     , "bert-base is not a local folder and is not a valid model identifier"			):
           SCREAMING_SNAKE_CASE										=   AutoFeatureExtractor.from_pretrained("bert-base"			)





   def      _snake_case		(       self					:			Any			):
       with self.assertRaisesRegex(
           __lowerCamelCase     , r"aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"			):
           SCREAMING_SNAKE_CASE										=   AutoFeatureExtractor.from_pretrained(__lowerCamelCase     , revision="aaaaaa"			)





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





   def      _snake_case		(       self					:			int			):
       # If remote code is not set, we will time out when asking whether to load the model.
       with self.assertRaises(__lowerCamelCase			):
           SCREAMING_SNAKE_CASE										=   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			):
           SCREAMING_SNAKE_CASE										=   AutoFeatureExtractor.from_pretrained(
               "hf-internal-testing/test_dynamic_feature_extractor"     , trust_remote_code=__lowerCamelCase			)

       SCREAMING_SNAKE_CASE										=   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			)
           SCREAMING_SNAKE_CASE										=   AutoFeatureExtractor.from_pretrained(__lowerCamelCase     , trust_remote_code=__lowerCamelCase			)
       self.assertEqual(reloaded_feature_extractor.__class__.__name__     , "NewFeatureExtractor"			)





   def      _snake_case		(       self					:			Optional[Any]			):
       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
           SCREAMING_SNAKE_CASE										=   CustomFeatureExtractor.from_pretrained(__lowerCamelCase			)
           with tempfile.TemporaryDirectory() as tmp_dir:
               feature_extractor.save_pretrained(__lowerCamelCase			)
               SCREAMING_SNAKE_CASE										=   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      _snake_case		(       self					:			Dict			):





       class 			_SCREAMING_SNAKE_CASE (   __snake_case		):







          '''simple docstring'''




          lowerCamelCase__				=      True

       try:
           AutoConfig.register("custom"     , __lowerCamelCase			)
           AutoFeatureExtractor.register(__lowerCamelCase     , __lowerCamelCase			)
           # If remote code is not set, the default is to use local
           SCREAMING_SNAKE_CASE										=   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.
           SCREAMING_SNAKE_CASE										=   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
           SCREAMING_SNAKE_CASE										=   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]







"""simple docstring"""
from __future__ import annotations

from fractions import Fraction
from math import gcd, sqrt

def 							snake_case (  A__		):
			UpperCAmelCase_	:					int     	=   int(number**0.5		)
			return number == sq * sq

def 							snake_case (  A__      ,A__      ,A__      ,A__      ,A__      ,A__		):
			UpperCAmelCase_	:					int     	=   x_num * y_den * z_den + y_num * x_den * z_den + z_num * x_den * y_den
			UpperCAmelCase_	:					int     	=   x_den * y_den * z_den
			UpperCAmelCase_	:					int     	=   gcd(A__      ,A__		)
			top //= hcf
			bottom //= hcf
			return top, bottom

def 							snake_case (  A__ = 35		):
			UpperCAmelCase_	:					set     	=   set()
			UpperCAmelCase_	:					int
			UpperCAmelCase_	:					Fraction     	=   Fraction(0		)
			UpperCAmelCase_	:					tuple[int, int]

			for x_num in range(1      ,order + 1		):
						for x_den in range(x_num + 1      ,order + 1		):
									for y_num in range(1      ,order + 1		):
												for y_den in range(y_num + 1      ,order + 1		):
															# n=1
															UpperCAmelCase_	:					Optional[int]     	=   x_num * y_den + x_den * y_num
															UpperCAmelCase_	:					List[Any]     	=   x_den * y_den
															UpperCAmelCase_	:					Tuple     	=   gcd(A__      ,A__		)
															z_num //= hcf
															z_den //= hcf
															if 0 < z_num < z_den <= order:
																		UpperCAmelCase_	:					int     	=   add_three(
																		    A__      ,A__      ,A__      ,A__      ,A__      ,A__		)
																		unique_s.add(A__		)

															# n=2
															UpperCAmelCase_	:					Optional[Any]     	=   (
															    x_num * x_num * y_den * y_den + x_den * x_den * y_num * y_num
															)
															UpperCAmelCase_	:					Dict     	=   x_den * x_den * y_den * y_den
															if is_sq(A__		) and is_sq(A__		):
																		UpperCAmelCase_	:					int     	=   int(sqrt(A__		)		)
																		UpperCAmelCase_	:					Any     	=   int(sqrt(A__		)		)
																		UpperCAmelCase_	:					str     	=   gcd(A__      ,A__		)
																		z_num //= hcf
																		z_den //= hcf
																		if 0 < z_num < z_den <= order:
																					UpperCAmelCase_	:					Tuple     	=   add_three(
																					    A__      ,A__      ,A__      ,A__      ,A__      ,A__		)
																					unique_s.add(A__		)

                    # n=-1
															UpperCAmelCase_	:					Optional[int]     	=   x_num * y_num
															UpperCAmelCase_	:					Dict     	=   x_den * y_num + x_num * y_den
															UpperCAmelCase_	:					Union[str, Any]     	=   gcd(A__      ,A__		)
															z_num //= hcf
															z_den //= hcf
															if 0 < z_num < z_den <= order:
																		UpperCAmelCase_	:					List[Any]     	=   add_three(
																		    A__      ,A__      ,A__      ,A__      ,A__      ,A__		)
																		unique_s.add(A__		)

															# n=2
															UpperCAmelCase_	:					Optional[Any]     	=   x_num * x_num * y_num * y_num
															UpperCAmelCase_	:					Dict     	=   (
															    x_den * x_den * y_num * y_num + x_num * x_num * y_den * y_den
															)
															if is_sq(A__		) and is_sq(A__		):
																		UpperCAmelCase_	:					str     	=   int(sqrt(A__		)		)
																		UpperCAmelCase_	:					int     	=   int(sqrt(A__		)		)
																		UpperCAmelCase_	:					Optional[Any]     	=   gcd(A__      ,A__		)
																		z_num //= hcf
																		z_den //= hcf
																		if 0 < z_num < z_den <= order:
																					UpperCAmelCase_	:					Optional[int]     	=   add_three(
																					    A__      ,A__      ,A__      ,A__      ,A__      ,A__		)
																					unique_s.add(A__		)

			for num, den in unique_s:
						total += Fraction(A__      ,A__		)

			return total.denominator + total.numerator


if __name__ == "__main__":
			print(f'{solution() = }')



