

'''simple docstring'''



from queue import Queue
from typing import TYPE_CHECKING, Optional


if TYPE_CHECKING:
  from ..models.auto import AutoTokenizer







class 						lowerCAmelCase__   :



 """simple docstring"""



 def       UpperCAmelCase__		(		self					:       Any					,							__SCREAMING_SNAKE_CASE					:       Any			)  -> str:


      """simple docstring"""




      raise NotImplementedError()


 def       UpperCAmelCase__		(		self					:       Optional[Any]			)  -> List[Any]:


      """simple docstring"""




      raise NotImplementedError()







class 						lowerCAmelCase__   (      a					):



 """simple docstring"""



 def __init__(		self					:       str					,							__SCREAMING_SNAKE_CASE					:       "AutoTokenizer"					,							__SCREAMING_SNAKE_CASE					:       bool = False					,							**__SCREAMING_SNAKE_CASE					:       Optional[Any]			)  -> Tuple:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      tokenizer
      __SCREAMING_SNAKE_CASE     =      skip_prompt
      __SCREAMING_SNAKE_CASE     =      decode_kwargs

      # variables used in the streaming process
      __SCREAMING_SNAKE_CASE     =      []
      __SCREAMING_SNAKE_CASE     =      0
      __SCREAMING_SNAKE_CASE     =      True
 def       UpperCAmelCase__		(		self					:       Any					,							__SCREAMING_SNAKE_CASE					:       str			)  -> Dict:


      """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:
           __SCREAMING_SNAKE_CASE     =      value[0]

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

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

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

      self.on_finalized_text(__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       str			)  -> Union[str, Any]:


      """simple docstring"""




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

      __SCREAMING_SNAKE_CASE     =      True
      self.on_finalized_text(__SCREAMING_SNAKE_CASE					,							stream_end=__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       Any					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       bool = False			)  -> str:


      """simple docstring"""




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


 def       UpperCAmelCase__		(		self					:       Any					,							__SCREAMING_SNAKE_CASE					:       str			)  -> List[str]:


      """simple docstring"""




      if (
          (cp >= 0X4e00 and cp <= 0X9fff)
          or (cp >= 0X3400 and cp <= 0X4dbf)  #
          or (cp >= 0X20000 and cp <= 0X2a6df)  #
          or (cp >= 0X2a700 and cp <= 0X2b73f)  #
          or (cp >= 0X2b740 and cp <= 0X2b81f)  #
          or (cp >= 0X2b820 and cp <= 0X2ceaf)  #
          or (cp >= 0Xf900 and cp <= 0Xfaff)
          or (cp >= 0X2f800 and cp <= 0X2fa1f)  #
      ):  #
           return True

      return False







class 						lowerCAmelCase__   (      a					):



 """simple docstring"""



 def __init__(		self					:       Dict					,							__SCREAMING_SNAKE_CASE					:       "AutoTokenizer"					,							__SCREAMING_SNAKE_CASE					:       bool = False					,							__SCREAMING_SNAKE_CASE					:       Optional[float] = None					,							**__SCREAMING_SNAKE_CASE					:       Any			)  -> List[Any]:


      """simple docstring"""




      super().__init__(__SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE					,							**__SCREAMING_SNAKE_CASE			)
      __SCREAMING_SNAKE_CASE     =      Queue()
      __SCREAMING_SNAKE_CASE     =      None
      __SCREAMING_SNAKE_CASE     =      timeout
 def       UpperCAmelCase__		(		self					:       int					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       bool = False			)  -> Any:


      """simple docstring"""




      self.text_queue.put(__SCREAMING_SNAKE_CASE					,							timeout=self.timeout			)
      if stream_end:
           self.text_queue.put(self.stop_signal					,							timeout=self.timeout			)
 def __iter__(		self					:       Union[str, Any]			)  -> Optional[Any]:


      """simple docstring"""




      return self


 def       UpperCAmelCase__		(		self					:       Optional[int]			)  -> List[Any]:


      """simple docstring"""




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









'''simple docstring'''



import unittest

from diffusers import FlaxAutoencoderKL
from diffusers.utils import is_flax_available
from diffusers.utils.testing_utils import require_flax

from .test_modeling_common_flax import FlaxModelTesterMixin


if is_flax_available():
  import jax







@require_flax
class 						lowerCAmelCase__   (      a ,					unittest.TestCase					):



 """simple docstring"""



 lowerCAmelCase__  					=      FlaxAutoencoderKL
 @property
 def       UpperCAmelCase__		(		self					:       Tuple			)  -> List[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      4
      __SCREAMING_SNAKE_CASE     =      3
      __SCREAMING_SNAKE_CASE     =      (32, 32)

      __SCREAMING_SNAKE_CASE     =      jax.random.PRNGKey(0			)
      __SCREAMING_SNAKE_CASE     =      jax.random.uniform(__SCREAMING_SNAKE_CASE					,							((batch_size, num_channels) + sizes)			)

      return {"sample": image, "prng_key": prng_key}


 def       UpperCAmelCase__		(		self					:       Union[str, Any]			)  -> Any:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      {
          """block_out_channels""": [32, 64],
          """in_channels""": 3,
          """out_channels""": 3,
          """down_block_types""": ["""DownEncoderBlock2D""", """DownEncoderBlock2D"""],
          """up_block_types""": ["""UpDecoderBlock2D""", """UpDecoderBlock2D"""],
          """latent_channels""": 4,
      }
      __SCREAMING_SNAKE_CASE     =      self.dummy_input
      return init_dict, inputs_dict






