


"""simple docstring"""







from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
       from ..models.auto import AutoTokenizer






class 				__A    :






 """simple docstring"""




 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					Optional[Any]:
     raise NotImplementedError()





 def 				SCREAMING_SNAKE_CASE							(		self						) ->					int:
     raise NotImplementedError()






class 				__A    (	a_      ):






 """simple docstring"""




 def __init__(		self			,   __A			,   __A = False			,   **__A						) ->					List[Any]:
     a					=tokenizer
     a					=skip_prompt
     a					=decode_kwargs

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


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					Any:
     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(lowercase_						) > 0 and self._is_chinese_char(ord(text[-1]						)						):
         a					=text[self.print_len :]
         self.print_len += len(lowercase_						)
     # 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(lowercase_						)

     self.on_finalized_text(lowercase_						)


 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(lowercase_			,   stream_end=lowercase_						)


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





 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					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 >= 0x4e_00 and cp <= 0x9f_ff)
         or (cp >= 0x34_00 and cp <= 0x4d_bf)  #
         or (cp >= 0x2_00_00 and cp <= 0x2_a6_df)  #
         or (cp >= 0x2_a7_00 and cp <= 0x2_b7_3f)  #
         or (cp >= 0x2_b7_40 and cp <= 0x2_b8_1f)  #
         or (cp >= 0x2_b8_20 and cp <= 0x2_ce_af)  #
         or (cp >= 0xf9_00 and cp <= 0xfa_ff)
         or (cp >= 0x2_f8_00 and cp <= 0x2_fa_1f)  #
     ):  #
         return True

     return False






class 				__A    (	a_      ):






 """simple docstring"""




 def __init__(		self			,   __A			,   __A = False			,   __A = None			,   **__A						) ->					List[str]:
     super().__init__(lowercase_			,   lowercase_			,   **lowercase_						)
     a					=Queue()
     a					=None
     a					=timeout


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A			,   __A = False						) ->					Tuple:
     self.text_queue.put(lowercase_			,   timeout=self.timeout						)
     if stream_end:
         self.text_queue.put(self.stop_signal			,   timeout=self.timeout						)


 def __iter__(		self						) ->					Optional[int]:
     return self





 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Union[str, Any]:
     a					=self.text_queue.get(timeout=self.timeout						)
     if value == self.stop_signal:
         raise StopIteration()
     else:
         return value





"""simple docstring"""







import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING


lowerCamelCase_       :       int      						=  logging.get_logger(__name__)






class 				__A    (	_SCREAMING_SNAKE_CASE      ):






 """simple docstring"""




 __lowerCAmelCase			 =  "upernet"


 def __init__(		self			,   __A=None			,   __A=512			,   __A=0.02			,   __A=[1, 2, 3, 6]			,   __A=True			,   __A=0.4			,   __A=384			,   __A=256			,   __A=1			,   __A=False			,   __A=255			,   **__A			,   ) ->					Tuple:
     super().__init__(**__A						)

     if backbone_config is None:
         logger.info('''`backbone_config` is `None`. Initializing the config with the default `ResNet` backbone.'''						)
         a					=CONFIG_MAPPING['''resnet'''](out_features=['''stage1''', '''stage2''', '''stage3''', '''stage4''']						)
     elif isinstance(__A			,   __A						):
         a					=backbone_config.get('''model_type'''						)
         a					=CONFIG_MAPPING[backbone_model_type]
         a					=config_class.from_dict(__A						)

     a					=backbone_config
     a					=hidden_size
     a					=initializer_range
     a					=pool_scales
     a					=use_auxiliary_head
     a					=auxiliary_loss_weight
     a					=auxiliary_in_channels
     a					=auxiliary_channels
     a					=auxiliary_num_convs
     a					=auxiliary_concat_input
     a					=loss_ignore_index





 def 				SCREAMING_SNAKE_CASE							(		self						) ->					Dict:
     a					=copy.deepcopy(self.__dict__						)
     a					=self.backbone_config.to_dict()
     a					=self.__class__.model_type
     return output