import unittest

from transformers.image_processing_utils import get_size_dict


class 						a__							(   unittest.TestCase		):



			def __SCREAMING_SNAKE_CASE							(						self    ) ->    Optional[int]:
								# Test a dict with the wrong keys raises an error
								__a							=   {'wrong_key': 2_2_4}
								with self.assertRaises(UpperCAmelCase    ):
													get_size_dict(UpperCAmelCase    )

								__a							=   {'height': 2_2_4}
								with self.assertRaises(UpperCAmelCase    ):
													get_size_dict(UpperCAmelCase    )

								__a							=   {'width': 2_2_4, 'shortest_edge': 2_2_4}
								with self.assertRaises(UpperCAmelCase    ):
													get_size_dict(UpperCAmelCase    )

								# Test a dict with the correct keys is returned as is
								__a							=   {'height': 2_2_4, 'width': 2_2_4}
								__a							=   get_size_dict(UpperCAmelCase    )
								self.assertEqual(UpperCAmelCase      ,						UpperCAmelCase    )

								__a							=   {'shortest_edge': 2_2_4}
								__a							=   get_size_dict(UpperCAmelCase    )
								self.assertEqual(UpperCAmelCase      ,						{'shortest_edge': 2_2_4}    )

								__a							=   {'longest_edge': 2_2_4, 'shortest_edge': 2_2_4}
								__a							=   get_size_dict(UpperCAmelCase    )
								self.assertEqual(UpperCAmelCase      ,						{'longest_edge': 2_2_4, 'shortest_edge': 2_2_4}    )

								# Test a single int value which  represents (size, size)
								__a							=   get_size_dict(2_2_4    )
								self.assertEqual(UpperCAmelCase      ,						{'height': 2_2_4, 'width': 2_2_4}    )

								# Test a single int value which represents the shortest edge
								__a							=   get_size_dict(2_2_4      ,						default_to_square=UpperCAmelCase    )
								self.assertEqual(UpperCAmelCase      ,						{'shortest_edge': 2_2_4}    )

								# Test a tuple of ints which represents (height, width)
								__a							=   get_size_dict((1_5_0, 2_0_0)    )
								self.assertEqual(UpperCAmelCase      ,						{'height': 1_5_0, 'width': 2_0_0}    )

								# Test a tuple of ints which represents (width, height)
								__a							=   get_size_dict((1_5_0, 2_0_0)      ,						height_width_order=UpperCAmelCase    )
								self.assertEqual(UpperCAmelCase      ,						{'height': 2_0_0, 'width': 1_5_0}    )

								# Test an int representing the shortest edge and max_size which represents the longest edge
								__a							=   get_size_dict(2_2_4      ,						max_size=2_5_6      ,						default_to_square=UpperCAmelCase    )
								self.assertEqual(UpperCAmelCase      ,						{'shortest_edge': 2_2_4, 'longest_edge': 2_5_6}    )

								# Test int with default_to_square=True and max_size fails
								with self.assertRaises(UpperCAmelCase    ):
													get_size_dict(2_2_4      ,						max_size=2_5_6      ,						default_to_square=UpperCAmelCase    )





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCamelCase_				:		int       						=       {
    """configuration_fsmt""": ["""FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FSMTConfig"""],
    """tokenization_fsmt""": ["""FSMTTokenizer"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCamelCase_				:		Dict       						=       ["""FSMTForConditionalGeneration""", """FSMTModel""", """PretrainedFSMTModel"""]


if TYPE_CHECKING:
	from .configuration_fsmt import FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP, FSMTConfig
	from .tokenization_fsmt import FSMTTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_fsmt import FSMTForConditionalGeneration, FSMTModel, PretrainedFSMTModel

else:
	import sys

	lowerCamelCase_				:		Dict       						=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)




