





'''simple docstring'''


from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


_SCREAMING_SNAKE_CASE	 =							logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE	 =							{
    "microsoft/resnet-50": "https://huggingface.co/microsoft/resnet-50/blob/main/config.json",
}

class    lowerCAmelCase_		(		__magic_name__						,__magic_name__		):
 __lowerCamelCase						:							Optional[int]         =					"resnet"
 __lowerCamelCase						:							List[Any]         =					["basic", "bottleneck"]




 def __init__(	self			,     _lowerCAmelCase=3			,     _lowerCAmelCase=64			,     _lowerCAmelCase=[256, 512, 1024, 2048]			,     _lowerCAmelCase=[3, 4, 6, 3]			,     _lowerCAmelCase="bottleneck"			,     _lowerCAmelCase="relu"			,     _lowerCAmelCase=False			,     _lowerCAmelCase=None			,     _lowerCAmelCase=None			,     **_lowerCAmelCase			,     )    ->							Tuple:
     super().__init__(**_lowerCAmelCase		)
     if layer_type not in self.layer_types:
         raise ValueError(f'''layer_type={layer_type} is not one of {','.join(self.layer_types		)}'''		)
     _lowerCAmelCase				=      num_channels
     _lowerCAmelCase				=      embedding_size
     _lowerCAmelCase				=      hidden_sizes
     _lowerCAmelCase				=      depths
     _lowerCAmelCase				=      layer_type
     _lowerCAmelCase				=      hidden_act
     _lowerCAmelCase				=      downsample_in_first_stage
     _lowerCAmelCase				=      ["stem"] + [f'''stage{idx}''' for idx in range(1			,     len(_lowerCAmelCase		) + 1		)]
     _lowerCAmelCase			,			_lowerCAmelCase				=      get_aligned_output_features_output_indices(
         out_features=_lowerCAmelCase			,     out_indices=_lowerCAmelCase			,     stage_names=self.stage_names		)







class    lowerCAmelCase_		(		__magic_name__		):
 __lowerCamelCase						:							Optional[int]         =					version.parse("1.11"		)




 @property
 def 							_snake_case   (	self		)    ->							Mapping[str, Mapping[int, str]]:
     return OrderedDict(
         [
             ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
         ]		)





 @property
 def 							_snake_case   (	self		)    ->							float:
     return 1E-3









'''simple docstring'''


from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
       from ..models.auto import AutoTokenizer

class    lowerCAmelCase_		:




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Tuple:
     raise NotImplementedError()





 def 							_snake_case   (	self		)    ->							Optional[int]:
     raise NotImplementedError()







class    lowerCAmelCase_		(		__magic_name__		):




 def __init__(	self			,     _lowerCAmelCase			,     _lowerCAmelCase = False			,     **_lowerCAmelCase		)    ->							str:
     _lowerCAmelCase				=      tokenizer
     _lowerCAmelCase				=      skip_prompt
     _lowerCAmelCase				=      decode_kwargs

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




 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							List[Any]:
     if len(value.shape		) > 1 and value.shape[0] > 1:
         raise ValueError("TextStreamer only supports batch size 1"		)
     elif len(value.shape		) > 1:
         _lowerCAmelCase				=      value[0]

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

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

     # After the symbol for a new line, we flush the cache.
     if text.endswith("\n"		):
         _lowerCAmelCase				=      text[self.print_len :]
         _lowerCAmelCase				=      []
         _lowerCAmelCase				=      0
     # If the last token is a CJK character, we print the characters.
     elif len(_lowerCAmelCase		) > 0 and self._is_chinese_char(ord(text[-1]		)		):
         _lowerCAmelCase				=      text[self.print_len :]
         self.print_len += len(_lowerCAmelCase		)
     # 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:
         _lowerCAmelCase				=      text[self.print_len : text.rfind(" "		) + 1]
         self.print_len += len(_lowerCAmelCase		)

     self.on_finalized_text(_lowerCAmelCase		)




 def 							_snake_case   (	self		)    ->							Union[str, Any]:
     # Flush the cache, if it exists
     if len(self.token_cache		) > 0:
         _lowerCAmelCase				=      self.tokenizer.decode(self.token_cache			,     **self.decode_kwargs		)
         _lowerCAmelCase				=      text[self.print_len :]
         _lowerCAmelCase				=      []
         _lowerCAmelCase				=      0
     else:
         _lowerCAmelCase				=      ""

     _lowerCAmelCase				=      True
     self.on_finalized_text(_lowerCAmelCase			,     stream_end=_lowerCAmelCase		)




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase = False		)    ->							List[Any]:
     print(_lowerCAmelCase			,     flush=_lowerCAmelCase			,     end="" if not stream_end else None		)





 def 							_snake_case   (	self			,     _lowerCAmelCase		)    ->							Tuple:
     # 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    lowerCAmelCase_		(		__magic_name__		):




 def __init__(	self			,     _lowerCAmelCase			,     _lowerCAmelCase = False			,     _lowerCAmelCase = None			,     **_lowerCAmelCase		)    ->							Dict:
     super().__init__(_lowerCAmelCase			,     _lowerCAmelCase			,     **_lowerCAmelCase		)
     _lowerCAmelCase				=      Queue()
     _lowerCAmelCase				=      None
     _lowerCAmelCase				=      timeout




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase = False		)    ->							Any:
     self.text_queue.put(_lowerCAmelCase			,     timeout=self.timeout		)
     if stream_end:
         self.text_queue.put(self.stop_signal			,     timeout=self.timeout		)




 def __iter__(	self		)    ->							int:
     return self





 def 							_snake_case   (	self		)    ->							Tuple:
     _lowerCAmelCase				=      self.text_queue.get(timeout=self.timeout		)
     if value == self.stop_signal:
         raise StopIteration()
     else:
         return value


