from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
	from ..models.auto import AutoTokenizer


class 						a__							:



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   Optional[Any]:
								raise NotImplementedError()







			def __SCREAMING_SNAKE_CASE							(						self   )			->   Tuple:
								raise NotImplementedError()






class 						a__							(       __snake_case		):



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase = False				,						**UpperCAmelCase   )			->   Optional[int]:
								__a		 =       tokenizer
								__a		 =       skip_prompt
								__a		 =       decode_kwargs

								# variables used in the streaming process
								__a		 =       []
								__a		 =       0
								__a		 =       True



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   str:
								if len(value.shape   ) > 1 and value.shape[0] > 1:
													raise ValueError('TextStreamer only supports batch size 1'   )
								elif len(value.shape   ) > 1:
													__a		 =       value[0]

								if self.skip_prompt and self.next_tokens_are_prompt:
													__a		 =       False
													return

								# Add the new token to the cache and decodes the entire thing.
								self.token_cache.extend(value.tolist()   )
								__a		 =       self.tokenizer.decode(self.token_cache				,						**self.decode_kwargs   )

								# After the symbol for a new line, we flush the cache.
								if text.endswith('\n'   ):
													__a		 =       text[self.print_len :]
													__a		 =       []
													__a		 =       0
								# If the last token is a CJK character, we print the characters.
								elif len(UpperCAmelCase   ) > 0 and self._is_chinese_char(ord(text[-1]   )   ):
													__a		 =       text[self.print_len :]
													self.print_len += len(UpperCAmelCase   )
								# Otherwise, prints until the last space char (simple heuristic to avoid printing incomplete words,
								# which may change with the subsequent token -- there are probably smarter ways to do this!)
								else:
													__a		 =       text[self.print_len : text.rfind(' '   ) + 1]
													self.print_len += len(UpperCAmelCase   )

								self.on_finalized_text(UpperCAmelCase   )



			def __SCREAMING_SNAKE_CASE							(						self   )			->   Optional[Any]:
								# Flush the cache, if it exists
								if len(self.token_cache   ) > 0:
													__a		 =       self.tokenizer.decode(self.token_cache				,						**self.decode_kwargs   )
													__a		 =       text[self.print_len :]
													__a		 =       []
													__a		 =       0
								else:
													__a		 =       ''

								__a		 =       True
								self.on_finalized_text(UpperCAmelCase				,						stream_end=UpperCAmelCase   )



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase = False   )			->   Union[str, Any]:
								print(UpperCAmelCase				,						flush=UpperCAmelCase				,						end='' if not stream_end else None   )







			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase   )			->   List[str]:
								# This defines a "chinese character" as anything in the CJK Unicode block:
								#   https://en.wikipedia.org/wiki/CJK_Unified_Ideographs_(Unicode_block)
								#
								# Note that the CJK Unicode block is NOT all Japanese and Korean characters,
								# despite its name. The modern Korean Hangul alphabet is a different block,
								# as is Japanese Hiragana and Katakana. Those alphabets are used to write
								# space-separated words, so they are not treated specially and handled
								# like the all of the other languages.
								if (
								    (cp >= 0X4e00 and cp <= 0X9fff)
								    or (cp >= 0X3400 and cp <= 0X4dbf)  #
								    or (cp >= 0X2_0000 and cp <= 0X2_a6df)  #
								    or (cp >= 0X2_a700 and cp <= 0X2_b73f)  #
								    or (cp >= 0X2_b740 and cp <= 0X2_b81f)  #
								    or (cp >= 0X2_b820 and cp <= 0X2_ceaf)  #
								    or (cp >= 0Xf900 and cp <= 0Xfaff)
								    or (cp >= 0X2_f800 and cp <= 0X2_fa1f)  #
								):  #
													return True

								return False






class 						a__							(       __snake_case		):



			def __init__(						self				,						UpperCAmelCase				,						UpperCAmelCase = False				,						UpperCAmelCase = None				,						**UpperCAmelCase   )			->   List[Any]:
								super().__init__(UpperCAmelCase				,						UpperCAmelCase				,						**UpperCAmelCase   )
								__a		 =       Queue()
								__a		 =       None
								__a		 =       timeout



			def __SCREAMING_SNAKE_CASE							(						self				,						UpperCAmelCase				,						UpperCAmelCase = False   )			->   List[Any]:
								self.text_queue.put(UpperCAmelCase				,						timeout=self.timeout   )
								if stream_end:
													self.text_queue.put(self.stop_signal				,						timeout=self.timeout   )



			def __iter__(						self   )			->   List[str]:
								return self







			def __SCREAMING_SNAKE_CASE							(						self   )			->   int:
								__a		 =       self.text_queue.get(timeout=self.timeout   )
								if value == self.stop_signal:
													raise StopIteration()
								else:
													return value





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


lowerCamelCase_    :		Dict							=	{"""configuration_speech_encoder_decoder""": ["""SpeechEncoderDecoderConfig"""]}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Optional[Any]							=	["""SpeechEncoderDecoderModel"""]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_    :		Dict							=	["""FlaxSpeechEncoderDecoderModel"""]

if TYPE_CHECKING:
	from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
	import sys

	lowerCamelCase_    :		Optional[int]							=	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




