

"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


__A	:       int        =						{
    'configuration_speech_to_text_2': ['SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP', 'Speech2Text2Config'],
    'processing_speech_to_text_2': ['Speech2Text2Processor'],
    'tokenization_speech_to_text_2': ['Speech2Text2Tokenizer'],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__A	:       Tuple        =						[
	    'SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'Speech2Text2ForCausalLM',
	    'Speech2Text2PreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_speech_to_text_a import SPEECH_TO_TEXT_2_PRETRAINED_CONFIG_ARCHIVE_MAP, SpeechaTextaConfig
	from .processing_speech_to_text_a import SpeechaTextaProcessor
	from .tokenization_speech_to_text_a import SpeechaTextaTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_speech_to_text_a import (
		    SPEECH_TO_TEXT_2_PRETRAINED_MODEL_ARCHIVE_LIST,
		    SpeechaTextaForCausalLM,
		    SpeechaTextaPreTrainedModel,
		)

else:
	import sys

	__A	:       Tuple        =						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)








"""simple docstring"""




from __future__ import annotations
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					A     =   {}
					for index, val in enumerate(lowercase__ ):
										A     =   target - val
										if compl in chk_map:
															return [chk_map[compl], index]
										A     =   index
					return []


if __name__ == "__main__":
	import doctest

	doctest.testmod()
	print(f"""{two_sum([2, 7, 11, 15], 9) = }""")





