

'''simple docstring'''



import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_base import BatchEncoding
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
  from transformers.pipelines.conversational import Conversation


UpperCAmelCase :       str			   =     logging.get_logger(__name__)

UpperCAmelCase :       Optional[Any]			   =     {'tokenizer_file': 'tokenizer.json'}

UpperCAmelCase :       Union[str, Any]			   =     {
    'tokenizer_file': {
        'bigscience/tokenizer': 'https://huggingface.co/bigscience/tokenizer/blob/main/tokenizer.json',
        'bigscience/bloom-560m': 'https://huggingface.co/bigscience/bloom-560m/blob/main/tokenizer.json',
        'bigscience/bloom-1b1': 'https://huggingface.co/bigscience/bloom-1b1/blob/main/tokenizer.json',
        'bigscience/bloom-1b7': 'https://huggingface.co/bigscience/bloom-1b7/blob/main/tokenizer.json',
        'bigscience/bloom-3b': 'https://huggingface.co/bigscience/bloom-3b/blob/main/tokenizer.json',
        'bigscience/bloom-7b1': 'https://huggingface.co/bigscience/bloom-7b1/blob/main/tokenizer.json',
        'bigscience/bloom': 'https://huggingface.co/bigscience/bloom/blob/main/tokenizer.json',
    },
}







class 						lowerCAmelCase__   (      a					):



 """simple docstring"""



 lowerCAmelCase__  					=      VOCAB_FILES_NAMES
 lowerCAmelCase__  					=      PRETRAINED_VOCAB_FILES_MAP
 lowerCAmelCase__  					=      ["input_ids", "attention_mask"]
 lowerCAmelCase__  					=      None
 def __init__(		self					:       str					,							__SCREAMING_SNAKE_CASE					:       str=None					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]=None					,							__SCREAMING_SNAKE_CASE					:       Any=None					,							__SCREAMING_SNAKE_CASE					:       int="<unk>"					,							__SCREAMING_SNAKE_CASE					:       Dict="<s>"					,							__SCREAMING_SNAKE_CASE					:       str="</s>"					,							__SCREAMING_SNAKE_CASE					:       Dict="<pad>"					,							__SCREAMING_SNAKE_CASE					:       List[Any]=False					,							__SCREAMING_SNAKE_CASE					:       Union[str, Any]=False					,							**__SCREAMING_SNAKE_CASE					:       Tuple					,							)  -> int:


      """simple docstring"""




      super().__init__(
          __SCREAMING_SNAKE_CASE					,							__SCREAMING_SNAKE_CASE					,							tokenizer_file=__SCREAMING_SNAKE_CASE					,							unk_token=__SCREAMING_SNAKE_CASE					,							bos_token=__SCREAMING_SNAKE_CASE					,							eos_token=__SCREAMING_SNAKE_CASE					,							pad_token=__SCREAMING_SNAKE_CASE					,							add_prefix_space=__SCREAMING_SNAKE_CASE					,							clean_up_tokenization_spaces=__SCREAMING_SNAKE_CASE					,							**__SCREAMING_SNAKE_CASE					,							)
      __SCREAMING_SNAKE_CASE     =      json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()			)
      if pre_tok_state.get("""add_prefix_space"""					,							__SCREAMING_SNAKE_CASE			) != add_prefix_space:
           __SCREAMING_SNAKE_CASE     =      getattr(__SCREAMING_SNAKE_CASE					,							pre_tok_state.pop("""type"""			)			)
           __SCREAMING_SNAKE_CASE     =      add_prefix_space
           __SCREAMING_SNAKE_CASE     =      pre_tok_class(**__SCREAMING_SNAKE_CASE			)

      __SCREAMING_SNAKE_CASE     =      add_prefix_space
 def       UpperCAmelCase__		(		self					:       Optional[int]					,							*__SCREAMING_SNAKE_CASE					:       Any					,							**__SCREAMING_SNAKE_CASE					:       Dict			)  -> BatchEncoding:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      kwargs.get("""is_split_into_words"""					,							__SCREAMING_SNAKE_CASE			)
      if not (self.add_prefix_space or not is_split_into_words):
           raise Exception(
               f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
               """ pretokenized inputs."""			)

      return super()._batch_encode_plus(*__SCREAMING_SNAKE_CASE					,							**__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       Optional[Any]					,							*__SCREAMING_SNAKE_CASE					:       str					,							**__SCREAMING_SNAKE_CASE					:       Any			)  -> BatchEncoding:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      kwargs.get("""is_split_into_words"""					,							__SCREAMING_SNAKE_CASE			)

      if not (self.add_prefix_space or not is_split_into_words):
           raise Exception(
               f'You need to instantiate {self.__class__.__name__} with add_prefix_space=True to use it with'
               """ pretokenized inputs."""			)

      return super()._encode_plus(*__SCREAMING_SNAKE_CASE					,							**__SCREAMING_SNAKE_CASE			)
 def       UpperCAmelCase__		(		self					:       Union[str, Any]					,							__SCREAMING_SNAKE_CASE					:       str					,							__SCREAMING_SNAKE_CASE					:       Optional[str] = None			)  -> Tuple[str]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      self._tokenizer.model.save(__SCREAMING_SNAKE_CASE					,							name=__SCREAMING_SNAKE_CASE			)
      return tuple(__SCREAMING_SNAKE_CASE			)


 def       UpperCAmelCase__		(		self					:       Optional[Any]					,							__SCREAMING_SNAKE_CASE					:       "Conversation"			)  -> List[int]:


      """simple docstring"""




      __SCREAMING_SNAKE_CASE     =      []
      for is_user, text in conversation.iter_texts():
           input_ids.extend(self.encode(__SCREAMING_SNAKE_CASE					,							add_special_tokens=__SCREAMING_SNAKE_CASE			) + [self.eos_token_id]			)

      if len(__SCREAMING_SNAKE_CASE			) > self.model_max_length:
           __SCREAMING_SNAKE_CASE     =      input_ids[-self.model_max_length :]
      return input_ids









'''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






