





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     snake_case_		(   a,		unittest.TestCase							):






 '''simple docstring'''





 __UpperCamelCase       =      CpmAntTokenizer
 __UpperCamelCase       =      False

 def  __UpperCAmelCase						(  self		)	->       List[str]:
    super().setUp()

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

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

    UpperCAmelCase__						=tokenizer.decode(A_		)
    self.assertEqual(A_,		A_		)










from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase_												=	{
    'configuration_owlvit': [
        'OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'OwlViTConfig',
        'OwlViTOnnxConfig',
        'OwlViTTextConfig',
        'OwlViTVisionConfig',
    ],
    'processing_owlvit': ['OwlViTProcessor'],
}


try:
    if not is_vision_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_												=	['OwlViTFeatureExtractor']
    UpperCamelCase_												=	['OwlViTImageProcessor']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_												=	[
        'OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'OwlViTModel',
        'OwlViTPreTrainedModel',
        'OwlViTTextModel',
        'OwlViTVisionModel',
        'OwlViTForObjectDetection',
    ]

if TYPE_CHECKING:
    from .configuration_owlvit import (
        OWLVIT_PRETRAINED_CONFIG_ARCHIVE_MAP,
        OwlViTConfig,
        OwlViTOnnxConfig,
        OwlViTTextConfig,
        OwlViTVisionConfig,
    )
    from .processing_owlvit import OwlViTProcessor

    try:
        if not is_vision_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .feature_extraction_owlvit import OwlViTFeatureExtractor
        from .image_processing_owlvit import OwlViTImageProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_owlvit import (
            OWLVIT_PRETRAINED_MODEL_ARCHIVE_LIST,
            OwlViTForObjectDetection,
            OwlViTModel,
            OwlViTPreTrainedModel,
            OwlViTTextModel,
            OwlViTVisionModel,
        )

else:
    import sys

    UpperCamelCase_												=	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)



