"""simple docstring"""






import copy
import os
from typing import Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase    :       int					     =logging.get_logger(__name__)

__lowerCAmelCase    :       List[str]					     ={
    """microsoft/git-base""": """https://huggingface.co/microsoft/git-base/resolve/main/config.json""",
}





class  _A						(       lowerCAmelCase	):
      snake_case__			:   List[Any]							  =	'git_vision_model'

      def __init__(						self		,       __lowerCAmelCase=768		,       __lowerCAmelCase=3072		,       __lowerCAmelCase=12		,       __lowerCAmelCase=12		,       __lowerCAmelCase=3		,       __lowerCAmelCase=224		,       __lowerCAmelCase=16		,       __lowerCAmelCase="quick_gelu"		,       __lowerCAmelCase=1E-5		,       __lowerCAmelCase=0.0		,       __lowerCAmelCase=0.0_2		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            super().__init__(**__lowerCAmelCase						)

            lowercase														=	hidden_size
            lowercase														=	intermediate_size
            lowercase														=	num_hidden_layers
            lowercase														=	num_attention_heads
            lowercase														=	num_channels
            lowercase														=	patch_size
            lowercase														=	image_size
            lowercase														=	initializer_range
            lowercase														=	attention_dropout
            lowercase														=	layer_norm_eps
            lowercase														=	hidden_act







      @classmethod
      def 				A__       (						cls		,       __lowerCAmelCase		,       **__lowerCAmelCase						):







            """simple docstring"""



            cls._set_token_in_kwargs(__lowerCAmelCase						)

            lowercase							,							lowercase														=	cls.get_config_dict(__lowerCAmelCase		,       **__lowerCAmelCase						)

            # get the vision config dict if we are loading from GITConfig
            if config_dict.get("""model_type"""						) == "git":
                  lowercase														=	config_dict["""vision_config"""]

            if "model_type" in config_dict and hasattr(cls		,       """model_type"""						) and config_dict["model_type"] != cls.model_type:
                  logger.warning(
                      f'You are using a model of type {config_dict["model_type"]} to instantiate a model of type '
                      f'{cls.model_type}. This is not supported for all configurations of models and can yield errors.'						)

            return cls.from_dict(__lowerCAmelCase		,       **__lowerCAmelCase						)






class  _A						(       lowerCAmelCase	):
      snake_case__			:   List[str]							  =	'git'

      def __init__(						self		,       __lowerCAmelCase=None		,       __lowerCAmelCase=3_0522		,       __lowerCAmelCase=768		,       __lowerCAmelCase=6		,       __lowerCAmelCase=12		,       __lowerCAmelCase=3072		,       __lowerCAmelCase="gelu"		,       __lowerCAmelCase=0.1		,       __lowerCAmelCase=0.1		,       __lowerCAmelCase=1024		,       __lowerCAmelCase=0.0_2		,       __lowerCAmelCase=1E-12		,       __lowerCAmelCase=0		,       __lowerCAmelCase="absolute"		,       __lowerCAmelCase=True		,       __lowerCAmelCase=False		,       __lowerCAmelCase=101		,       __lowerCAmelCase=102		,       __lowerCAmelCase=None		,       **__lowerCAmelCase		,       ):







            """simple docstring"""



            super().__init__(bos_token_id=__lowerCAmelCase		,       eos_token_id=__lowerCAmelCase		,       pad_token_id=__lowerCAmelCase		,       **__lowerCAmelCase						)

            if vision_config is None:
                  lowercase														=	{}
                  logger.info("""vision_config is None. initializing the GitVisionConfig with default values."""						)

            lowercase														=	GitVisionConfig(**__lowerCAmelCase						)
            lowercase														=	vocab_size
            lowercase														=	hidden_size
            lowercase														=	num_hidden_layers
            lowercase														=	num_attention_heads
            lowercase														=	hidden_act
            lowercase														=	intermediate_size
            lowercase														=	hidden_dropout_prob
            lowercase														=	attention_probs_dropout_prob
            lowercase														=	max_position_embeddings
            lowercase														=	initializer_range
            lowercase														=	layer_norm_eps
            lowercase														=	position_embedding_type
            lowercase														=	use_cache
            lowercase														=	tie_word_embeddings
            lowercase														=	num_image_with_embedding

            lowercase														=	bos_token_id
            lowercase														=	eos_token_id







      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	copy.deepcopy(self.__dict__						)
            lowercase														=	self.vision_config.to_dict()
            lowercase														=	self.__class__.model_type
            return output




"""simple docstring"""






from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
       from ..models.auto import AutoTokenizer





class  _A						:

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            raise NotImplementedError()







      def 				A__       (						self						):







            """simple docstring"""



            raise NotImplementedError()






class  _A						(       lowerCAmelCase	):

      def __init__(						self		,       __lowerCAmelCase		,       __lowerCAmelCase = False		,       **__lowerCAmelCase						):







            """simple docstring"""



            lowercase														=	tokenizer
            lowercase														=	skip_prompt
            lowercase														=	decode_kwargs

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

      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            if len(value.shape						) > 1 and value.shape[0] > 1:
                  raise ValueError("""TextStreamer only supports batch size 1"""						)
            elif len(value.shape						) > 1:
                  lowercase														=	value[0]

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

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

            # After the symbol for a new line, we flush the cache.
            if text.endswith("""\n"""						):
                  lowercase														=	text[self.print_len :]
                  lowercase														=	[]
                  lowercase														=	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]						)						):
                  lowercase														=	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:
                  lowercase														=	text[self.print_len : text.rfind(""" """						) + 1]
                  self.print_len += len(__lowerCAmelCase						)

            self.on_finalized_text(__lowerCAmelCase						)

      def 				A__       (						self						):







            """simple docstring"""



            if len(self.token_cache						) > 0:
                  lowercase														=	self.tokenizer.decode(self.token_cache		,       **self.decode_kwargs						)
                  lowercase														=	text[self.print_len :]
                  lowercase														=	[]
                  lowercase														=	0
            else:
                  lowercase														=	""""""

            lowercase														=	True
            self.on_finalized_text(__lowerCAmelCase		,       stream_end=__lowerCAmelCase						)

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = False						):







            """simple docstring"""



            print(__lowerCAmelCase		,       flush=__lowerCAmelCase		,       end="""""" if not stream_end else None						)







      def 				A__       (						self		,       __lowerCAmelCase						):







            """simple docstring"""



            if (
                (cp >= 0X4_e00 and cp <= 0X9_fff)
                or (cp >= 0X3_400 and cp <= 0X4_dbf)  #
                or (cp >= 0X20_000 and cp <= 0X2a_6df)  #
                or (cp >= 0X2a_700 and cp <= 0X2b_73f)  #
                or (cp >= 0X2b_740 and cp <= 0X2b_81f)  #
                or (cp >= 0X2b_820 and cp <= 0X2c_eaf)  #
                or (cp >= 0Xf_900 and cp <= 0Xf_aff)
                or (cp >= 0X2f_800 and cp <= 0X2f_a1f)  #
            ):  #
                  return True

            return False






class  _A						(       lowerCAmelCase	):

      def __init__(						self		,       __lowerCAmelCase		,       __lowerCAmelCase = False		,       __lowerCAmelCase = None		,       **__lowerCAmelCase						):







            """simple docstring"""



            super().__init__(__lowerCAmelCase		,       __lowerCAmelCase		,       **__lowerCAmelCase						)
            lowercase														=	Queue()
            lowercase														=	None
            lowercase														=	timeout

      def 				A__       (						self		,       __lowerCAmelCase		,       __lowerCAmelCase = False						):







            """simple docstring"""



            self.text_queue.put(__lowerCAmelCase		,       timeout=self.timeout						)
            if stream_end:
                  self.text_queue.put(self.stop_signal		,       timeout=self.timeout						)

      def __iter__(						self						):







            """simple docstring"""



            return self







      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.text_queue.get(timeout=self.timeout						)
            if value == self.stop_signal:
                  raise StopIteration()
            else:
                  return value



