
"""simple docstring"""





import numpy as np

_a								=						[
    ["""a""", """b""", """c""", """d""", """e"""],
    ["""f""", """g""", """h""", """i""", """k"""],
    ["""l""", """m""", """n""", """o""", """p"""],
    ["""q""", """r""", """s""", """t""", """u"""],
    ["""v""", """w""", """x""", """y""", """z"""],
]






class        _UpperCAmelCase:



		def __init__(   self)			->			None:






							'''simple docstring'''
							_UpperCamelCase									=    np.array(__a)



		def 		UpperCAmelCase				(   self							,						__a)			->			np.ndarray:






							'''simple docstring'''
							_UpperCamelCase					,    _UpperCamelCase									=    np.where(letter == self.SQUARE)
							_UpperCamelCase									=    np.concatenate([indexa + 1, indexa + 1])
							return indexes



		def 		UpperCAmelCase				(   self							,						__a							,						__a)			->			str:






							'''simple docstring'''
							_UpperCamelCase									=    self.SQUARE[indexa - 1, indexa - 1]
							return letter



		def 		UpperCAmelCase				(   self							,						__a)			->			str:






							'''simple docstring'''
							_UpperCamelCase									=    message.lower()
							_UpperCamelCase									=    message.replace(''' '''							,						'''''')
							_UpperCamelCase									=    message.replace('''j'''							,						'''i''')

							_UpperCamelCase									=    np.empty((2, len(__a)))
							for letter_index in range(len(__a)):
												_UpperCamelCase									=    self.letter_to_numbers(message[letter_index])

												_UpperCamelCase									=    numbers[0]
												_UpperCamelCase									=    numbers[1]

							_UpperCamelCase									=    first_step.reshape(2 * len(__a))
							_UpperCamelCase									=    ''''''
							for numbers_index in range(len(__a)):
												_UpperCamelCase									=    int(second_step[numbers_index * 2])
												_UpperCamelCase									=    int(second_step[(numbers_index * 2) + 1])
												_UpperCamelCase									=    self.numbers_to_letter(__a							,						__a)
												_UpperCamelCase									=    encoded_message + letter

							return encoded_message




		def 		UpperCAmelCase				(   self							,						__a)			->			str:






							'''simple docstring'''
							_UpperCamelCase									=    message.lower()
							message.replace(''' '''							,						'''''')
							_UpperCamelCase									=    np.empty(2 * len(__a))
							for letter_index in range(len(__a)):
												_UpperCamelCase									=    self.letter_to_numbers(message[letter_index])
												_UpperCamelCase									=    numbers[0]
												_UpperCamelCase									=    numbers[1]

							_UpperCamelCase									=    first_step.reshape((2, len(__a)))
							_UpperCamelCase									=    ''''''
							for numbers_index in range(len(__a)):
												_UpperCamelCase									=    int(second_step[0, numbers_index])
												_UpperCamelCase									=    int(second_step[1, numbers_index])
												_UpperCamelCase									=    self.numbers_to_letter(__a							,						__a)
												_UpperCamelCase									=    decoded_message + letter

							return decoded_message









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


_UpperCAmelCase						:  Dict									=			"""sshleifer/bart-tiny-random"""
_UpperCAmelCase						:  Optional[Any]									=			"""patrickvonplaten/t5-tiny-random"""







@require_torch
class 					lowercase							(			unittest.TestCase     ):




				@cached_property
				def        a				(   self			):
											return AutoConfig.from_pretrained(snake_case			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=1			)
											self.assertEqual(student.config.num_hidden_layers ,  1			)




				def        a				(   self			):
											snake_case_							,       *snake_case_     							=       create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=1 ,  d=snake_case			)




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




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




				def        a				(   self			):
											with self.assertRaises(snake_case			):
																		create_student_by_copying_alternating_layers(snake_case ,  tempfile.mkdtemp() ,  e=snake_case ,  d=snake_case			)




