'''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       (__magic_name__ ,					unittest.TestCase   ):
       snake_case       :Optional[int]				    =					CpmAntTokenizer
       snake_case       :List[str]				    =					False






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

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

              __UpperCAmelCase  :				Any       				=		[6, 98_02, 1_49_62, 20_82, 8_31, 2_44]
              self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_      )				,     UpperCamelCase_      )

              __UpperCAmelCase  :				int       				=		tokenizer.decode(UpperCamelCase_      )
              self.assertEqual(UpperCamelCase_				,     UpperCamelCase_      )







'''simple docstring'''




from transformers import HfArgumentParser, TensorFlowBenchmark, TensorFlowBenchmarkArguments

def _lowercase	(      )					->       Dict:





       """simple docstring"""


       __UpperCAmelCase  :				str       				=		HfArgumentParser(lowerCamelCase__						)
       __UpperCAmelCase  :				Optional[Any]       				=		parser.parse_args_into_dataclasses()[0]
       __UpperCAmelCase  :				Any       				=		TensorFlowBenchmark(args=lowerCamelCase__						)
       try:
              __UpperCAmelCase  :				List[Any]       				=		parser.parse_args_into_dataclasses()[0]
       except ValueError as e:
              __UpperCAmelCase  :				str       				=		"Arg --no_{0} is no longer used, please use --no-{0} instead."
              __UpperCAmelCase  :				Tuple       				=		" ".join(str(lowerCamelCase__						).split(" "						)[:-1]						)
              __UpperCAmelCase  :				Any       				=		""
              __UpperCAmelCase  :				List[Any]       				=		eval(str(lowerCamelCase__						).split(" "						)[-1]						)
              __UpperCAmelCase  :				Optional[int]       				=		[]
              for arg in depreciated_args:
                     # arg[2:] removes '--'
                     if arg[2:] in TensorFlowBenchmark.deprecated_args:
                            # arg[5:] removes '--no_'
                            full_error_msg += arg_error_msg.format(arg[5:]						)
                     else:
                            wrong_args.append(lowerCamelCase__						)
              if len(lowerCamelCase__						) > 0:
                     __UpperCAmelCase  :				Union[str, Any]       				=		full_error_msg + begin_error_msg + str(lowerCamelCase__						)
              raise ValueError(lowerCamelCase__						)
       benchmark.run()


if __name__ == "__main__":
   main()






