

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

import diffusers.utils.hub_utils

class 						__snake_case						(							unittest.TestCase     ):
							"""simple docstring"""







							@patch("""diffusers.utils.hub_utils.get_full_repo_name"""      )
							def  a		(		self			,   _UpperCamelCase      )			->       Tuple:






														"""simple docstring"""


														__snake_case					  =       """full_repo_name"""
														with TemporaryDirectory() as tmpdir:
																					# Dummy args values
																					__snake_case					  =       Mock()
																					__snake_case					  =       tmpdir
																					__snake_case					  =       0
																					__snake_case					  =       """hub_token"""
																					__snake_case					  =       """dataset_name"""
																					__snake_case					  =       0.01
																					__snake_case					  =       10_00_00
																					__snake_case					  =       1_00_00
																					__snake_case					  =       0.01
																					__snake_case					  =       0.02
																					__snake_case					  =       0.03
																					__snake_case					  =       0.0005
																					__snake_case					  =       0.00_0001
																					__snake_case					  =       1
																					__snake_case					  =       10
																					__snake_case					  =       0.001
																					__snake_case					  =       0.1
																					__snake_case					  =       0.2
																					__snake_case					  =       True

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




from typing import TYPE_CHECKING

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


UpperCamelCase__		   =    {
    '''configuration_splinter''': ['''SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''SplinterConfig'''],
    '''tokenization_splinter''': ['''SplinterTokenizer'''],
}

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase__		   =    ['''SplinterTokenizerFast''']

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase__		   =    [
        '''SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST''',
        '''SplinterForQuestionAnswering''',
        '''SplinterForPreTraining''',
        '''SplinterLayer''',
        '''SplinterModel''',
        '''SplinterPreTrainedModel''',
    ]


if TYPE_CHECKING:
    from .configuration_splinter import SPLINTER_PRETRAINED_CONFIG_ARCHIVE_MAP, SplinterConfig
    from .tokenization_splinter import SplinterTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_splinter_fast import SplinterTokenizerFast

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_splinter import (
            SPLINTER_PRETRAINED_MODEL_ARCHIVE_LIST,
            SplinterForPreTraining,
            SplinterForQuestionAnswering,
            SplinterLayer,
            SplinterModel,
            SplinterPreTrainedModel,
        )


else:
    import sys

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

