import pytest
import requests

from datasets.utils.file_utils import http_head

from .utils import OfflineSimulationMode, RequestWouldHangIndefinitelyError, offline






@pytest.mark.integration
def 				__lowerCamelCase		(						):
       with offline(OfflineSimulationMode.CONNECTION_TIMES_OUT     ):
              with pytest.raises(lowerCAmelCase__     ):
                     requests.request('GET'     ,  'https://huggingface.co'     )
              with pytest.raises(requests.exceptions.ConnectTimeout     ):
                     requests.request('GET'     ,  'https://huggingface.co'     ,  timeout=1.0     )






@pytest.mark.integration
def 				__lowerCamelCase		(						):
       with offline(OfflineSimulationMode.CONNECTION_FAILS     ):
              with pytest.raises(requests.exceptions.ConnectionError     ):
                     requests.request('GET'     ,  'https://huggingface.co'     )






def 				__lowerCamelCase		(						):
       with offline(OfflineSimulationMode.HF_DATASETS_OFFLINE_SET_TO_1     ):
              with pytest.raises(lowerCAmelCase__     ):
                     http_head('https://huggingface.co'     )

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase__     						=			{
    'configuration_x_clip': [
        'XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XCLIPConfig',
        'XCLIPTextConfig',
        'XCLIPVisionConfig',
    ],
    'processing_x_clip': ['XCLIPProcessor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        'XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
        'XCLIPModel',
        'XCLIPPreTrainedModel',
        'XCLIPTextModel',
        'XCLIPVisionModel',
    ]

if TYPE_CHECKING:
    from .configuration_x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
    from .processing_x_clip import XCLIPProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )

else:
    import sys

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