


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


lowercase_	   =     get_tests_dir('fixtures')
lowercase_	   =     get_tests_dir('fixtures/dummy_feature_extractor_config.json')
lowercase_	   =     get_tests_dir('fixtures/dummy-config.json')


class 	A_ (	unittest.TestCase   ):




      '''simple docstring'''


      def 					_snake_case     (    self:	Optional[Any]    ):
       __lowerCamelCase		:							Any		 =						0




      def 					_snake_case     (    self:	int    ):
       __lowerCamelCase		:							List[Any]		 =						AutoFeatureExtractor.from_pretrained('facebook/wav2vec2-base-960h'    )
       self.assertIsInstance(a						,				a    )




      def 					_snake_case     (    self:	List[str]    ):
       __lowerCamelCase		:							Union[str, Any]		 =						AutoFeatureExtractor.from_pretrained(a    )
       self.assertIsInstance(a						,				a    )




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

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

        config_dict.pop('feature_extractor_type'    )
        __lowerCamelCase		:							Optional[int]		 =						WavaVecaFeatureExtractor(**a    )

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

        __lowerCamelCase		:							int		 =						AutoFeatureExtractor.from_pretrained(a    )

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

       self.assertIsInstance(a						,				a    )




      def 					_snake_case     (    self:	Any    ):
       __lowerCamelCase		:							Optional[int]		 =						AutoFeatureExtractor.from_pretrained(a    )
       self.assertIsInstance(a						,				a    )




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




      def 					_snake_case     (    self:	Union[str, Any]    ):
       with self.assertRaisesRegex(
           a						,				R'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'    ):
        __lowerCamelCase		:							List[Any]		 =						AutoFeatureExtractor.from_pretrained(a						,				revision='aaaaaa'    )




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




      def 					_snake_case     (    self:	Any    ):
       # If remote code is not set, we will time out when asking whether to load the model.
       with self.assertRaises(a    ):
        __lowerCamelCase		:							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(a    ):
        __lowerCamelCase		:							Union[str, Any]		 =						AutoFeatureExtractor.from_pretrained(
            'hf-internal-testing/test_dynamic_feature_extractor'						,				trust_remote_code=a    )

       __lowerCamelCase		:							Optional[Any]		 =						AutoFeatureExtractor.from_pretrained(
           'hf-internal-testing/test_dynamic_feature_extractor'						,				trust_remote_code=a    )
       self.assertEqual(feature_extractor.__class__.__name__						,				'NewFeatureExtractor'    )

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




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

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

       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:	List[Any]    ):


       class 	A_ (	__UpperCamelCase   ):




             '''simple docstring'''


             __snake_case 	=       True

       try:
        AutoConfig.register('custom'						,				a    )
        AutoFeatureExtractor.register(a						,				a    )
        # If remote code is not set, the default is to use local
        __lowerCamelCase		:							int		 =						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		:							List[str]		 =						AutoFeatureExtractor.from_pretrained(
            'hf-internal-testing/test_dynamic_feature_extractor'						,				trust_remote_code=a    )
        self.assertEqual(feature_extractor.__class__.__name__						,				'NewFeatureExtractor'    )
        self.assertTrue(feature_extractor.is_local    )

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





from __future__ import annotations
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Optional[Any]		 =						0.00
 __lowerCamelCase		:							Tuple		 =						0
 for resistor in resistors:
  if resistor <= 0:
   __lowerCamelCase		:							Union[str, Any]		 =						f'Resistor at index {index} has a negative or zero value!'
   raise ValueError(SCREAMING_SNAKE_CASE__						)
  first_sum += 1 / float(SCREAMING_SNAKE_CASE__						)
  index += 1
 return 1 / first_sum
def 				UpperCamelCase__					(  SCREAMING_SNAKE_CASE__						):
 __lowerCamelCase		:							Union[str, Any]		 =						0.00
 __lowerCamelCase		:							str		 =						0
 for resistor in resistors:
  sum_r += resistor
  if resistor < 0:
   __lowerCamelCase		:							Any		 =						f'Resistor at index {index} has a negative value!'
   raise ValueError(SCREAMING_SNAKE_CASE__						)
  index += 1
 return sum_r


if __name__ == "__main__":
       import doctest

       doctest.testmod()

