



'''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 					UpperCAmelCase__	(		UpperCamelCase__							,       unittest.TestCase ):
					a      :     int        =							CpmAntTokenizer
					a      :     List[str]        =							False



					def        UpperCAmelCase_ (    self     )     ->			Tuple:
						super().setUp()

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

						__lowerCAmelCase												=  [6, 9802, 1_4962, 2082, 831, 244]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase     )			,				UpperCamelCase     )

						__lowerCAmelCase												=  tokenizer.decode(UpperCamelCase     )
						self.assertEqual(UpperCamelCase			,				UpperCamelCase     )




'''simple docstring'''



from typing import TYPE_CHECKING

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


lowerCAmelCase	:		Optional[Any]				=   {
    '''configuration_trocr''': ['''TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''TrOCRConfig'''],
    '''processing_trocr''': ['''TrOCRProcessor'''],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		List[str]				=   [
	    '''TROCR_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TrOCRForCausalLM''',
	    '''TrOCRPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
	from .processing_trocr import TrOCRProcessor

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
	import sys

	lowerCAmelCase	:		Optional[Any]				=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)