

import unittest

from transformers.image_processing_utils import get_size_dict



class 					lowercase		( unittest.TestCase      ):



 '''simple docstring'''


 def 						UpperCamelCase__							(self				)				->      Tuple:






  """simple docstring"""





  UpperCAmelCase__           =       {'wrong_key': 224}
  with self.assertRaises(__SCREAMING_SNAKE_CASE				):
   get_size_dict(__SCREAMING_SNAKE_CASE				)

  UpperCAmelCase__           =       {'height': 224}
  with self.assertRaises(__SCREAMING_SNAKE_CASE				):
   get_size_dict(__SCREAMING_SNAKE_CASE				)

  UpperCAmelCase__           =       {'width': 224, 'shortest_edge': 224}
  with self.assertRaises(__SCREAMING_SNAKE_CASE				):
   get_size_dict(__SCREAMING_SNAKE_CASE				)

  # Test a dict with the correct keys is returned as is
  UpperCAmelCase__           =       {'height': 224, 'width': 224}
  UpperCAmelCase__           =       get_size_dict(__SCREAMING_SNAKE_CASE				)
  self.assertEqual(__SCREAMING_SNAKE_CASE , __SCREAMING_SNAKE_CASE				)

  UpperCAmelCase__           =       {'shortest_edge': 224}
  UpperCAmelCase__           =       get_size_dict(__SCREAMING_SNAKE_CASE				)
  self.assertEqual(__SCREAMING_SNAKE_CASE , {'shortest_edge': 224}				)

  UpperCAmelCase__           =       {'longest_edge': 224, 'shortest_edge': 224}
  UpperCAmelCase__           =       get_size_dict(__SCREAMING_SNAKE_CASE				)
  self.assertEqual(__SCREAMING_SNAKE_CASE , {'longest_edge': 224, 'shortest_edge': 224}				)

  # Test a single int value which  represents (size, size)
  UpperCAmelCase__           =       get_size_dict(224				)
  self.assertEqual(__SCREAMING_SNAKE_CASE , {'height': 224, 'width': 224}				)

  # Test a single int value which represents the shortest edge
  UpperCAmelCase__           =       get_size_dict(224 , default_to_square=__SCREAMING_SNAKE_CASE				)
  self.assertEqual(__SCREAMING_SNAKE_CASE , {'shortest_edge': 224}				)

  # Test a tuple of ints which represents (height, width)
  UpperCAmelCase__           =       get_size_dict((150, 200)				)
  self.assertEqual(__SCREAMING_SNAKE_CASE , {'height': 150, 'width': 200}				)

  # Test a tuple of ints which represents (width, height)
  UpperCAmelCase__           =       get_size_dict((150, 200) , height_width_order=__SCREAMING_SNAKE_CASE				)
  self.assertEqual(__SCREAMING_SNAKE_CASE , {'height': 200, 'width': 150}				)

  # Test an int representing the shortest edge and max_size which represents the longest edge
  UpperCAmelCase__           =       get_size_dict(224 , max_size=256 , default_to_square=__SCREAMING_SNAKE_CASE				)
  self.assertEqual(__SCREAMING_SNAKE_CASE , {'shortest_edge': 224, 'longest_edge': 256}				)

  # Test int with default_to_square=True and max_size fails
  with self.assertRaises(__SCREAMING_SNAKE_CASE				):
   get_size_dict(224 , max_size=256 , default_to_square=__SCREAMING_SNAKE_CASE				)








from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCamelCase     =    {
    '''configuration_fsmt''': ['''FSMT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''FSMTConfig'''],
    '''tokenization_fsmt''': ['''FSMTTokenizer'''],
}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _UpperCamelCase     =    ['''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

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



