





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      lowercase__    (							__A     ,					unittest.TestCase  ):
  __UpperCamelCase	     =  CpmAntTokenizer
  __UpperCamelCase	     =  False







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

       lowerCAmelCase_					:       Optional[int]    =		[
           """<d>""",
           """</d>""",
           """<s>""",
           """</s>""",
           """</_>""",
           """<unk>""",
           """<pad>""",
           """</n>""",
           """我""",
           """是""",
           """C""",
           """P""",
           """M""",
           """A""",
           """n""",
           """t""",
       ]
       lowerCAmelCase_					:       Optional[Any]    =		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 	UpperCAmelCase__		(	self						):
       lowerCAmelCase_					:       List[Any]    =		CpmAntTokenizer.from_pretrained("""openbmb/cpm-ant-10b"""						)
       lowerCAmelCase_					:       str    =		"""今天天气真好！"""
       lowerCAmelCase_					:       List[str]    =		["""今天""", """天气""", """真""", """好""", """！"""]
       lowerCAmelCase_					:       Dict    =		tokenizer.tokenize(_lowercase						)
       self.assertListEqual(_lowercase    ,						_lowercase						)
       lowerCAmelCase_					:       List[str]    =		"""今天天气真好！"""
       lowerCAmelCase_					:       Dict    =		[tokenizer.bos_token] + tokens

       lowerCAmelCase_					:       List[str]    =		[6, 9_802, 14_962, 2_082, 831, 244]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase						)    ,						_lowercase						)

       lowerCAmelCase_					:       str    =		tokenizer.decode(_lowercase						)
       self.assertEqual(_lowercase    ,						_lowercase						)







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCAmelCase_					:   int 							=						{"""configuration_plbart""": ["""PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """PLBartConfig"""]}

try:
      if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCAmelCase_					:   Optional[int] 							=						["""PLBartTokenizer"""]

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCAmelCase_					:   Union[str, Any] 							=						[
          """PLBART_PRETRAINED_MODEL_ARCHIVE_LIST""",
          """PLBartForCausalLM""",
          """PLBartForConditionalGeneration""",
          """PLBartForSequenceClassification""",
          """PLBartModel""",
          """PLBartPreTrainedModel""",
      ]


if TYPE_CHECKING:
      from .configuration_plbart import PLBART_PRETRAINED_CONFIG_ARCHIVE_MAP, PLBartConfig

      try:
            if not is_sentencepiece_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_plbart import PLBartTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_plbart import (
                PLBART_PRETRAINED_MODEL_ARCHIVE_LIST,
                PLBartForCausalLM,
                PLBartForConditionalGeneration,
                PLBartForSequenceClassification,
                PLBartModel,
                PLBartPreTrainedModel,
            )


else:
      import sys

      UpperCAmelCase_					:   List[str] 							=						_LazyModule(__name__, globals()["""__file__"""], _import_structure)
