






"""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


A__					: Dict=	get_tests_dir("""fixtures""")
A__					: str=	get_tests_dir("""fixtures/dummy_feature_extractor_config.json""")
A__					: Any=	get_tests_dir("""fixtures/dummy-config.json""")
class    __lowerCamelCase    (  unittest.TestCase  ):

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Any:
       UpperCamelCase__         =    0

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Tuple:
       UpperCamelCase__         =    AutoFeatureExtractor.from_pretrained('facebook/wav2vec2-base-960h'      )
       self.assertIsInstance(snake_case_ ,				snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Tuple:
       UpperCamelCase__         =    AutoFeatureExtractor.from_pretrained(snake_case_      )
       self.assertIsInstance(snake_case_ ,				snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Dict:
       with tempfile.TemporaryDirectory() as tmpdirname:
           UpperCamelCase__         =    WavaVecaConfig()

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

           config_dict.pop('feature_extractor_type'      )
           UpperCamelCase__         =    WavaVecaFeatureExtractor(**snake_case_      )

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

           UpperCamelCase__         =    AutoFeatureExtractor.from_pretrained(snake_case_      )

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

       self.assertIsInstance(snake_case_ ,				snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Any:
       UpperCamelCase__         =    AutoFeatureExtractor.from_pretrained(snake_case_      )
       self.assertIsInstance(snake_case_ ,				snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[str]:
       with self.assertRaisesRegex(
           snake_case_ ,				'bert-base is not a local folder and is not a valid model identifier'      ):
           UpperCamelCase__         =    AutoFeatureExtractor.from_pretrained('bert-base'      )

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Optional[int]:
       with self.assertRaisesRegex(
           snake_case_ ,				r'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'      ):
           UpperCamelCase__         =    AutoFeatureExtractor.from_pretrained(snake_case_ ,				revision='aaaaaa'      )

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

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

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

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

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       Optional[int]:
       try:
           AutoConfig.register('custom' ,				snake_case_      )
           AutoFeatureExtractor.register(snake_case_ ,				snake_case_      )
           # Trying to register something existing in the Transformers library will raise an error
           with self.assertRaises(snake_case_      ):
               AutoFeatureExtractor.register(snake_case_ ,				snake_case_      )

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

       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 						SCREAMING_SNAKE_CASE__ (					self      )		->       List[str]:
       class    __lowerCamelCase    (  _a  ):
          a      :				Any 						=True

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

           # If remote is enabled, we load from the Hub
           UpperCamelCase__         =    AutoFeatureExtractor.from_pretrained(
               'hf-internal-testing/test_dynamic_feature_extractor' ,				trust_remote_code=snake_case_      )
           self.assertEqual(feature_extractor.__class__.__name__ ,				'NewFeatureExtractor'      )
           self.assertTrue(not hasattr(snake_case_ ,				'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 copy import deepcopy
class    __lowerCamelCase    :

   def __init__(					self ,				snake_case_ = None ,				snake_case_ = None      )		->       None:

       if arr is None and size is not None:
           UpperCamelCase__         =    size
           UpperCamelCase__         =    [0] * size
       elif arr is not None:
           self.init(snake_case_      )
       else:
           raise ValueError('Either arr or size must be specified'      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       None:
       UpperCamelCase__         =    len(snake_case_      )
       UpperCamelCase__         =    deepcopy(snake_case_      )
       for i in range(1 ,				self.size      ):
           UpperCamelCase__         =    self.next_(snake_case_      )
           if j < self.size:
               self.tree[j] += self.tree[i]

   def 						SCREAMING_SNAKE_CASE__ (					self      )		->       list[int]:
       UpperCamelCase__         =    self.tree[:]
       for i in range(self.size - 1 ,				0 ,				-1      ):
           UpperCamelCase__         =    self.next_(snake_case_      )
           if j < self.size:
               arr[j] -= arr[i]
       return arr

   @staticmethod
   def 						SCREAMING_SNAKE_CASE__ (					snake_case_      )		->       int:
       return index + (index & (-index))

   @staticmethod
   def 						SCREAMING_SNAKE_CASE__ (					snake_case_      )		->       int:
       return index - (index & (-index))

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_      )		->       None:
       if index == 0:
           self.tree[0] += value
           return
       while index < self.size:
           self.tree[index] += value
           UpperCamelCase__         =    self.next_(snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_      )		->       None:
       self.add(snake_case_ ,				value - self.get(snake_case_      )      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       int:
       if right == 0:
           return 0
       UpperCamelCase__         =    self.tree[0]
       right -= 1  # make right inclusive
       while right > 0:
           result += self.tree[right]
           UpperCamelCase__         =    self.prev(snake_case_      )
       return result

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_ ,				snake_case_      )		->       int:
       return self.prefix(snake_case_      ) - self.prefix(snake_case_      )

   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       int:
       return self.query(snake_case_ ,				index + 1      )







   def 						SCREAMING_SNAKE_CASE__ (					self ,				snake_case_      )		->       int:
       value -= self.tree[0]
       if value < 0:
           return -1

       UpperCamelCase__         =    1  # Largest power of 2 <= size
       while j * 2 < self.size:
           j *= 2

       UpperCamelCase__         =    0

       while j > 0:
           if i + j < self.size and self.tree[i + j] <= value:
               value -= self.tree[i + j]
               i += j
           j //= 2
       return i


if __name__ == "__main__":
  import doctest

  doctest.testmod()




