'''simple docstring'''





from typing import TYPE_CHECKING

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


SCREAMING_SNAKE_CASE_:					int  ={
    'configuration_convbert': ['CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ConvBertConfig', 'ConvBertOnnxConfig'],
    'tokenization_convbert': ['ConvBertTokenizer'],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    SCREAMING_SNAKE_CASE_:					Optional[Any]  =['ConvBertTokenizerFast']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    SCREAMING_SNAKE_CASE_:					List[Any]  =[
        'CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'ConvBertForMaskedLM',
        'ConvBertForMultipleChoice',
        'ConvBertForQuestionAnswering',
        'ConvBertForSequenceClassification',
        'ConvBertForTokenClassification',
        'ConvBertLayer',
        'ConvBertModel',
        'ConvBertPreTrainedModel',
        'load_tf_weights_in_convbert',
    ]


try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    SCREAMING_SNAKE_CASE_:					int  =[
        'TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
        'TFConvBertForMaskedLM',
        'TFConvBertForMultipleChoice',
        'TFConvBertForQuestionAnswering',
        'TFConvBertForSequenceClassification',
        'TFConvBertForTokenClassification',
        'TFConvBertLayer',
        'TFConvBertModel',
        'TFConvBertPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_convbert import CONVBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, ConvBertConfig, ConvBertOnnxConfig
    from .tokenization_convbert import ConvBertTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_convbert_fast import ConvBertTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_convbert import (
            CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            ConvBertForMaskedLM,
            ConvBertForMultipleChoice,
            ConvBertForQuestionAnswering,
            ConvBertForSequenceClassification,
            ConvBertForTokenClassification,
            ConvBertLayer,
            ConvBertModel,
            ConvBertPreTrainedModel,
            load_tf_weights_in_convbert,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_convbert import (
            TF_CONVBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFConvBertForMaskedLM,
            TFConvBertForMultipleChoice,
            TFConvBertForQuestionAnswering,
            TFConvBertForSequenceClassification,
            TFConvBertForTokenClassification,
            TFConvBertLayer,
            TFConvBertModel,
            TFConvBertPreTrainedModel,
        )


else:
    import sys

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





'''simple docstring'''





import os
import time

import pytest

from datasets.utils.filelock import FileLock, Timeout





def      lowerCAmelCase_    ( snake_case_	:			Union[str, Any]      )   ->				Optional[int]:


     '''simple docstring'''




     UpperCAmelCase_	   =       FileLock(str(tmpdir / "foo.lock"      )      )
     UpperCAmelCase_	   =       FileLock(str(tmpdir / "foo.lock"      )      )
     UpperCAmelCase_	   =       0.01
     with locka.acquire():
          with pytest.raises(snake_case_      ):
               UpperCAmelCase_	   =       time.time()
               locka.acquire(snake_case_      )
               assert time.time() - _start > timeout






def      lowerCAmelCase_    ( snake_case_	:			int      )   ->				Optional[int]:


     '''simple docstring'''




     UpperCAmelCase_	   =       "a" * 10_00 + ".lock"
     UpperCAmelCase_	   =       FileLock(str(tmpdir / filename      )      )
     assert locka._lock_file.endswith(".lock"      )
     assert not locka._lock_file.endswith(snake_case_      )
     assert len(os.path.basename(locka._lock_file      )      ) <= 2_55
     UpperCAmelCase_	   =       FileLock(tmpdir / filename      )
     with locka.acquire():
          with pytest.raises(snake_case_      ):
               locka.acquire(0      )




