import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer

def 			lowercase_				(			_lowerCamelCase							:       str		,	_lowerCamelCase							:       str		,	**_lowerCamelCase							:       Tuple):
    lowercase__ :   Tuple    					=				AutoConfig.from_pretrained(_lowerCamelCase		,	**_lowerCamelCase)
    lowercase__ :   Tuple    					=				AutoModelForSeqaSeqLM.from_config(_lowerCamelCase)
    model.save_pretrained(_lowerCamelCase)
    AutoTokenizer.from_pretrained(_lowerCamelCase).save_pretrained(_lowerCamelCase)
    return model


if __name__ == "__main__":
      fire.Fire(save_randomly_initialized_version)





"""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__						(      a_,			unittest.TestCase						):
   __lowerCAmelCase            =				CpmAntTokenizer
   __lowerCAmelCase            =				False
   def 			__magic_name__			(			self				):
          super().setUp()

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

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

          lowercase    :				str       		=							tokenizer.decode(_a				)
          self.assertEqual(_a	,    _a				)


