
import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


lowerCamelCase_						     =					'''sshleifer/bart-tiny-random'''
lowerCamelCase_						     =					'''patrickvonplaten/t5-tiny-random'''




@require_torch
class      __A(    unittest.TestCase			):

  """simple docstring"""







  @cached_property
  def 	UpperCAmelCase_ (self						):
       return AutoConfig.from_pretrained(UpperCamelCase__						)







  def 	UpperCAmelCase_ (self						):
       UpperCamelCase__		,	*UpperCamelCase__				=    create_student_by_copying_alternating_layers(UpperCamelCase__	,      tempfile.mkdtemp()	,      e=1	,      d=1						)
       self.assertEqual(student.config.num_hidden_layers	,      1						)







  def 	UpperCAmelCase_ (self						):
       UpperCamelCase__		,	*UpperCamelCase__				=    create_student_by_copying_alternating_layers(UpperCamelCase__	,      tempfile.mkdtemp()	,      e=1	,      d=UpperCamelCase__						)







  def 	UpperCAmelCase_ (self						):
       UpperCamelCase__		,	*UpperCamelCase__				=    create_student_by_copying_alternating_layers(UpperCamelCase__	,      tempfile.mkdtemp()	,      e=1	,      d=UpperCamelCase__						)
       self.assertEqual(student.config.encoder_layers	,      1						)
       self.assertEqual(student.config.decoder_layers	,      self.teacher_config.encoder_layers						)







  def 	UpperCAmelCase_ (self						):
       UpperCamelCase__		,	*UpperCamelCase__				=    create_student_by_copying_alternating_layers(UpperCamelCase__	,      tempfile.mkdtemp()	,      e=1	,      d=1						)
       self.assertEqual(student.config.encoder_layers	,      1						)
       self.assertEqual(student.config.decoder_layers	,      1						)







  def 	UpperCAmelCase_ (self						):
       with self.assertRaises(UpperCamelCase__						):
            create_student_by_copying_alternating_layers(UpperCamelCase__	,      tempfile.mkdtemp()	,      e=UpperCamelCase__	,      d=UpperCamelCase__						)







from PIL import Image






def 						__magic_name__			(   __a      :	Image						):



     '''simple docstring'''




     UpperCamelCase__		,	UpperCamelCase__				=    image.size
     UpperCamelCase__				=    0
     UpperCamelCase__				=    image.load()
     for i in range(__a						):
          for j in range(__a						):
               UpperCamelCase__				=    pixels[j, i]
               mean += pixel
     mean //= width * height

     for j in range(__a						):
          for i in range(__a						):
               UpperCamelCase__				=    255 if pixels[i, j] > mean else 0
     return image


if __name__ == "__main__":
    lowerCamelCase_						     =					mean_threshold(Image.open('''path_to_image''').convert('''L'''))
    image.save('''output_image_path''')





