"""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       ,  a__						):
       raise NotImplementedError()






     def 					__A						(	self						):
       raise NotImplementedError()







class 		__A							(				SCREAMING_SNAKE_CASE_	):






     def __init__(	self       ,  a__       ,  a__ = False       ,  **a__						):
       _lowerCAmelCase		: int						    =  tokenizer
       _lowerCAmelCase		: List[Any]						    =  skip_prompt
       _lowerCAmelCase		: int						    =  decode_kwargs

       # variables used in the streaming process
       _lowerCAmelCase		: Union[str, Any]						    =  []
       _lowerCAmelCase		: int						    =  0
       _lowerCAmelCase		: Dict						    =  True






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

       if self.skip_prompt and self.next_tokens_are_prompt:
         _lowerCAmelCase		: List[Any]						    =  False
         return

       # Add the new token to the cache and decodes the entire thing.
       self.token_cache.extend(value.tolist()						)
       _lowerCAmelCase		: Union[str, Any]						    =  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		: int						    =  text[self.print_len :]
         _lowerCAmelCase		: List[str]						    =  []
         _lowerCAmelCase		: List[Any]						    =  0
       # If the last token is a CJK character, we print the characters.
       elif len(a__						) > 0 and self._is_chinese_char(ord(text[-1]						)						):
         _lowerCAmelCase		: List[str]						    =  text[self.print_len :]
         self.print_len += len(a__						)
       # 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		: Optional[int]						    =  text[self.print_len : text.rfind(""" """						) + 1]
         self.print_len += len(a__						)

       self.on_finalized_text(a__						)






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

       _lowerCAmelCase		: Dict						    =  True
       self.on_finalized_text(a__       ,  stream_end=a__						)






     def 					__A						(	self       ,  a__       ,  a__ = False						):
       print(a__       ,  flush=a__       ,  end="""""" if not stream_end else None						)






     def 					__A						(	self       ,  a__						):
       # 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 >= 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							(				SCREAMING_SNAKE_CASE_	):






     def __init__(	self       ,  a__       ,  a__ = False       ,  a__ = None       ,  **a__						):
       super().__init__(a__       ,  a__       ,  **a__						)
       _lowerCAmelCase		: List[Any]						    =  Queue()
       _lowerCAmelCase		: List[Any]						    =  None
       _lowerCAmelCase		: Union[str, Any]						    =  timeout






     def 					__A						(	self       ,  a__       ,  a__ = False						):
       self.text_queue.put(a__       ,  timeout=self.timeout						)
       if stream_end:
         self.text_queue.put(self.stop_signal       ,  timeout=self.timeout						)






     def __iter__(	self						):
       return self






     def 					__A						(	self						):
       _lowerCAmelCase		: List[str]						    =  self.text_queue.get(timeout=self.timeout						)
       if value == self.stop_signal:
         raise StopIteration()
       else:
         return value





"""simple docstring"""




import os
import unittest

from transformers.models.cpmant.tokenization_cpmant import VOCAB_FILES_NAMES, CpmAntTokenizer
from transformers.testing_utils import require_jieba, tooslow

from ...test_tokenization_common import TokenizerTesterMixin
@require_jieba
class 		__A							(				SCREAMING_SNAKE_CASE_					,			unittest.TestCase	):
     _UpperCamelCase							:    str	      =	CpmAntTokenizer
     _UpperCamelCase							:    List[Any]	      =	False






     def 					__A						(	self						):
       super().setUp()

       _lowerCAmelCase		: Dict						    =  [
           """<d>""",
           """</d>""",
           """<s>""",
           """</s>""",
           """</_>""",
           """<unk>""",
           """<pad>""",
           """</n>""",
           """我""",
           """是""",
           """C""",
           """P""",
           """M""",
           """A""",
           """n""",
           """t""",
       ]
       _lowerCAmelCase		: int						    =  os.path.join(self.tmpdirname       ,  VOCAB_FILES_NAMES["""vocab_file"""]						)
       with open(self.vocab_file       ,  """w"""       ,  encoding="""utf-8"""						) as vocab_writer:
         vocab_writer.write("""""".join([x + """\n""" for x in vocab_tokens]						)						)






     @tooslow
     def 					__A						(	self						):
       _lowerCAmelCase		: Tuple						    =  CpmAntTokenizer.from_pretrained("""openbmb/cpm-ant-10b"""						)
       _lowerCAmelCase		: Optional[Any]						    =  """今天天气真好！"""
       _lowerCAmelCase		: Any						    =  ["""今天""", """天气""", """真""", """好""", """！"""]
       _lowerCAmelCase		: str						    =  tokenizer.tokenize(a__						)
       self.assertListEqual(a__       ,  a__						)
       _lowerCAmelCase		: Tuple						    =  """今天天气真好！"""
       _lowerCAmelCase		: Optional[Any]						    =  [tokenizer.bos_token] + tokens

       _lowerCAmelCase		: Optional[int]						    =  [6, 9802, 14962, 2082, 831, 244]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(a__						)       ,  a__						)

       _lowerCAmelCase		: Tuple						    =  tokenizer.decode(a__						)
       self.assertEqual(a__       ,  a__						)




