

"""simple docstring"""




def 					a__				(       snake_case__ ,				snake_case__       )		->      List[Any]:
			assert x is not None
			assert y is not None

			lowerCamelCase       =      len(snake_case__       )
			lowerCamelCase       =      len(snake_case__       )

			# declaring the array for storing the dp values
			lowerCamelCase       =      [[0] * (n + 1) for _ in range(m + 1       )]  # noqa: E741

			for i in range(1 ,				m + 1       ):
						for j in range(1 ,				n + 1       ):
									lowerCamelCase       =      1 if x[i - 1] == y[j - 1] else 0

									lowerCamelCase       =      max(l[i - 1][j] ,				l[i][j - 1] ,				l[i - 1][j - 1] + match       )

			lowerCamelCase       =      """"""
			lowerCamelCase   ,     lowerCamelCase       =      m, n
			while i > 0 and j > 0:
						lowerCamelCase       =      1 if x[i - 1] == y[j - 1] else 0

						if l[i][j] == l[i - 1][j - 1] + match:
									if match == 1:
												lowerCamelCase       =      x[i - 1] + seq
									i -= 1
									j -= 1
						elif l[i][j] == l[i - 1][j]:
									i -= 1
						else:
									j -= 1

			return l[m][n], seq


if __name__ == "__main__":
					lowerCAmelCase							:    Any  							=							"""AGGTAB"""
					lowerCAmelCase							:    List[Any]  							=							"""GXTXAYB"""
					lowerCAmelCase							:    List[Any]  							=							4
					lowerCAmelCase							:    Any  							=							"""GTAB"""

					lowerCAmelCase							:    Union[str, Any]  							=							longest_common_subsequence(a, b)
					print("""len =""", ln, """, sub-sequence =""", subseq)
					import doctest

					doctest.testmod()









"""simple docstring"""




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							:    Optional[Any]  							=							"""sshleifer/bart-tiny-random"""
lowerCAmelCase							:    List[Any]  							=							"""patrickvonplaten/t5-tiny-random"""






@require_torch
class 					__magic_name__							( unittest.TestCase       ):






				'''simple docstring'''





				@cached_property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return AutoConfig.from_pretrained(_a				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=1				)
							self.assertEqual(student.config.num_hidden_layers	,				1				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=_a				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=_a				)
							self.assertEqual(student.config.encoder_layers	,				1				)
							self.assertEqual(student.config.decoder_layers	,				self.teacher_config.encoder_layers				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							lowerCamelCase   ,     *lowerCamelCase       =      create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=1	,				d=1				)
							self.assertEqual(student.config.encoder_layers	,				1				)
							self.assertEqual(student.config.decoder_layers	,				1				)





				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							with self.assertRaises(_a				):
										create_student_by_copying_alternating_layers(_a	,				tempfile.mkdtemp()	,				e=_a	,				d=_a				)



