





import unittest
from pathlib import Path
from tempfile import TemporaryDirectory
from unittest.mock import Mock, patch

import diffusers.utils.hub_utils






class 							_a(     unittest.TestCase     ):







		@patch("diffusers.utils.hub_utils.get_full_repo_name"					)
		def 							lowercase							(     self			,    __snake_case					)   ->   None:


							'''simple docstring'''

							_snake_case							:       List[str]												= "full_repo_name"
							with TemporaryDirectory() as tmpdir:
												# Dummy args values
												_snake_case							:       Union[str, Any]												= Mock()
												_snake_case							:       List[str]												= tmpdir
												_snake_case							:       int												= 0
												_snake_case							:       int												= "hub_token"
												_snake_case							:       int												= "dataset_name"
												_snake_case							:       str												= 0.01
												_snake_case							:       List[Any]												= 1_0_0_0_0_0
												_snake_case							:       Dict												= 1_0_0_0_0
												_snake_case							:       Tuple												= 0.01
												_snake_case							:       Optional[int]												= 0.02
												_snake_case							:       Optional[Any]												= 0.03
												_snake_case							:       Union[str, Any]												= 0.00_05
												_snake_case							:       List[str]												= 0.00_00_01
												_snake_case							:       Dict												= 1
												_snake_case							:       List[str]												= 1_0
												_snake_case							:       Tuple												= 0.0_01
												_snake_case							:       Dict												= 0.1
												_snake_case							:       Optional[Any]												= 0.2
												_snake_case							:       List[Any]												= True

												# Model card mush be rendered and saved
												diffusers.utils.hub_utils.create_model_card(__snake_case			,    model_name="model_name"					)
												self.assertTrue((Path(__snake_case					) / "README.md").is_file()					)






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__lowerCAmelCase			:Optional[int]	 =     {
    'configuration_mobilenet_v1': [
        'MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'MobileNetV1Config',
        'MobileNetV1OnnxConfig',
    ],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase			:Dict	 =     ['MobileNetV1FeatureExtractor']
							__lowerCAmelCase			:List[Any]	 =     ['MobileNetV1ImageProcessor']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase			:Optional[int]	 =     [
							    'MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'MobileNetV1ForImageClassification',
							    'MobileNetV1Model',
							    'MobileNetV1PreTrainedModel',
							    'load_tf_weights_in_mobilenet_v1',
							]


if TYPE_CHECKING:
							from .configuration_mobilenet_va import (
							    MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    MobileNetVaConfig,
							    MobileNetVaOnnxConfig,
							)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
														from .image_processing_mobilenet_va import MobileNetVaImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mobilenet_va import (
														    MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MobileNetVaForImageClassification,
														    MobileNetVaModel,
														    MobileNetVaPreTrainedModel,
														    load_tf_weights_in_mobilenet_va,
														)


else:
							import sys

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