
from argparse import ArgumentParser

from . import BaseTransformersCLICommand



def 		lowercase_    (     A__	)							->							Dict:
    """simple docstring"""

    return DownloadCommand(args.model				,	args.cache_dir				,	args.force				,	args.trust_remote_code	)







class   lowerCamelCase	(						A_						):





     @staticmethod
     def 	UpperCAmelCase(_A   :					ArgumentParser     )		->		int:
         snake_case				  =      parser.add_parser("download"     )
         download_parser.add_argument(
             "--cache-dir"       ,					type=_A       ,					default=_A       ,					help="Path to location to store the models"     )
         download_parser.add_argument(
             "--force"       ,					action="store_true"       ,					help="Force the model to be download even if already in cache-dir"     )
         download_parser.add_argument(
             "--trust-remote-code"       ,					action="store_true"       ,					help="Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you've reviewed the code as it will execute on your local machine"       ,					)
         download_parser.add_argument("model"       ,					type=_A       ,					help="Name of the model to download"     )
         download_parser.set_defaults(func=_A     )





     def __init__(self   :					Dict       ,					_A   :					str       ,					_A   :					str       ,					_A   :					bool       ,					_A   :					bool     )		->		List[str]:
         snake_case				  =      model
         snake_case				  =      cache
         snake_case				  =      force
         snake_case				  =      trust_remote_code





     def 	UpperCAmelCase(self   :					Union[str, Any]     )		->		Optional[Any]:
         from ..models.auto import AutoModel, AutoTokenizer

         AutoModel.from_pretrained(
             self._model       ,					cache_dir=self._cache       ,					force_download=self._force       ,					trust_remote_code=self._trust_remote_code     )
         AutoTokenizer.from_pretrained(
             self._model       ,					cache_dir=self._cache       ,					force_download=self._force       ,					trust_remote_code=self._trust_remote_code     )



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   lowerCamelCase	(						A_							,				unittest.TestCase						):
     UpperCAmelCase__       :							Any     =	CpmAntTokenizer
     UpperCAmelCase__       :							Optional[Any]     =	False





     def 	UpperCAmelCase(self   :					Optional[Any]     )		->		Dict:
         super().setUp()

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

         snake_case				  =      [6, 9_8_0_2, 1_4_9_6_2, 2_0_8_2, 8_3_1, 2_4_4]
         self.assertListEqual(tokenizer.convert_tokens_to_ids(_A     )       ,					_A     )

         snake_case				  =      tokenizer.decode(_A     )
         self.assertEqual(_A       ,					_A     )

