



import warnings
from contextlib import contextmanager

from ...processing_utils import ProcessorMixin
from .feature_extraction_wavaveca import WavaVecaFeatureExtractor
from .tokenization_wavaveca import WavaVecaCTCTokenizer




class 							lowerCAmelCase__  (	UpperCamelCase						):
					__A     :    Any           =						'Wav2Vec2FeatureExtractor'
					__A     :    Any           =						'AutoTokenizer'







					def __init__(       self      :     str			,		_A      :     Optional[int]			,		_A      :     Tuple):
											super().__init__(_A			,		_A)
											A__	:							Optional[Any]						    = self.feature_extractor
											A__	:							str						    = False







					@classmethod
					def  _lowercase			(       cls      :     Dict			,		_A      :     Any			,		**_A      :     Tuple):
											try:
																	return super().from_pretrained(_A			,		**_A)
											except OSError:
																	warnings.warn(
																	    F'Loading a tokenizer inside {cls.__name__} from a config that does not'
																	    " include a `tokenizer_class` attribute is deprecated and will be "
																	    "removed in v5. Please add `'tokenizer_class': 'Wav2Vec2CTCTokenizer'`"
																	    " attribute to either your `config.json` or `tokenizer_config.json` "
																	    "file to suppress this warning: "			,		_A			,		)

																	A__	:							Dict						    = WavaVecaFeatureExtractor.from_pretrained(_A			,		**_A)
																	A__	:							List[str]						    = WavaVecaCTCTokenizer.from_pretrained(_A			,		**_A)

																	return cls(feature_extractor=_A			,		tokenizer=_A)







					def __call__(       self      :     List[Any]			,		*_A      :     List[Any]			,		**_A      :     List[Any]):
											# For backward compatibility
											if self._in_target_context_manager:
																	return self.current_processor(*_A			,		**_A)

											if "raw_speech" in kwargs:
																	warnings.warn("Using `raw_speech` as a keyword argument is deprecated. Use `audio` instead.")
																	A__	:							Optional[int]						    = kwargs.pop("raw_speech")
											else:
																	A__	:							List[Any]						    = kwargs.pop("audio"			,		_A)
											A__	:							List[Any]						    = kwargs.pop("sampling_rate"			,		_A)
											A__	:							List[str]						    = kwargs.pop("text"			,		_A)
											if len(_A) > 0:
																	A__	:							List[str]						    = args[0]
																	A__	:							Optional[int]						    = args[1:]

											if audio is None and text is None:
																	raise ValueError("You need to specify either an `audio` or `text` input to process.")

											if audio is not None:
																	A__	:							Any						    = self.feature_extractor(_A			,		*_A			,		sampling_rate=_A			,		**_A)
											if text is not None:
																	A__	:							Any						    = self.tokenizer(_A			,		**_A)

											if text is None:
																	return inputs
											elif audio is None:
																	return encodings
											else:
																	A__	:							List[str]						    = encodings["input_ids"]
																	return inputs







					def  _lowercase			(       self      :     Tuple			,		*_A      :     List[Any]			,		**_A      :     str):
											# For backward compatibility
											if self._in_target_context_manager:
																	return self.current_processor.pad(*_A			,		**_A)

											A__	:							Dict						    = kwargs.pop("input_features"			,		_A)
											A__	:							Optional[Any]						    = kwargs.pop("labels"			,		_A)
											if len(_A) > 0:
																	A__	:							List[Any]						    = args[0]
																	A__	:							Any						    = args[1:]

											if input_features is not None:
																	A__	:							Dict						    = self.feature_extractor.pad(_A			,		*_A			,		**_A)
											if labels is not None:
																	A__	:							Any						    = self.tokenizer.pad(_A			,		**_A)

											if labels is None:
																	return input_features
											elif input_features is None:
																	return labels
											else:
																	A__	:							List[Any]						    = labels["input_ids"]
																	return input_features







					def  _lowercase			(       self      :     int			,		*_A      :     Union[str, Any]			,		**_A      :     Tuple):
											return self.tokenizer.batch_decode(*_A			,		**_A)







					def  _lowercase			(       self      :     Optional[Any]			,		*_A      :     Union[str, Any]			,		**_A      :     Any):
											return self.tokenizer.decode(*_A			,		**_A)







					@contextmanager
					def  _lowercase			(       self      :     str):
											warnings.warn(
											    "`as_target_processor` is deprecated and will be removed in v5 of Transformers. You can process your "
											    "labels by using the argument `text` of the regular `__call__` method (either in the same call as "
											    "your audio inputs, or in a separate call.")
											A__	:							int						    = True
											A__	:							Any						    = self.tokenizer
											yield
											A__	:							str						    = self.feature_extractor
											A__	:							Dict						    = False




from __future__ import annotations

from fractions import Fraction
from math import gcd, sqrt
def 	snake_case__       (					__lowercase       )		->		bool:







						"""simple docstring"""

						A__	:							int						    = int(number**0.5       )
						return number == sq * sq
def 	snake_case__       (					__lowercase							,     __lowercase							,     __lowercase							,     __lowercase							,     __lowercase							,     __lowercase       )		->		tuple[int, int]:







						"""simple docstring"""

						A__	:							int						    = x_num * y_den * z_den + y_num * x_den * z_den + z_num * x_den * y_den
						A__	:							int						    = x_den * y_den * z_den
						A__	:							int						    = gcd(__lowercase							,     __lowercase       )
						top //= hcf
						bottom //= hcf
						return top, bottom
def 	snake_case__       (					__lowercase = 3_5       )		->		int:







						"""simple docstring"""

						A__	:							set						    = set()
						A__	:							int
						A__	:							Fraction						    = Fraction(0       )
						A__	:							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
																														A__	:							Any						    = x_num * y_den + x_den * y_num
																														A__	:							List[Any]						    = x_den * y_den
																														A__	:							List[Any]						    = gcd(__lowercase							,     __lowercase       )
																														z_num //= hcf
																														z_den //= hcf
																														if 0 < z_num < z_den <= order:
																																				A__	:							List[Any]						    = add_three(
																																				    __lowercase							,     __lowercase							,     __lowercase							,     __lowercase							,     __lowercase							,     __lowercase       )
																																				unique_s.add(__lowercase       )

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

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

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

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

						return total.denominator + total.numerator


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