

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


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


@require_torch
class SCREAMING_SNAKE_CASE  (		unittest.TestCase							):






			"""simple docstring"""




			@cached_property
			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				return AutoConfig.from_pretrained(lowercase_							)


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				snake_case_		,       *snake_case_      		= create_student_by_copying_alternating_layers(lowercase_ ,				tempfile.mkdtemp() ,				e=1 ,				d=1							)
				self.assertEqual(student.config.num_hidden_layers ,				1							)


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				snake_case_		,       *snake_case_      		= create_student_by_copying_alternating_layers(lowercase_ ,				tempfile.mkdtemp() ,				e=1 ,				d=lowercase_							)


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


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


			def 			__lowerCAmelCase (    self							):

				"""simple docstring"""


				snake_case_		,       *snake_case_      		= create_student_by_copying_alternating_layers(lowercase_ ,				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(lowercase_							):
					create_student_by_copying_alternating_layers(lowercase_ ,				tempfile.mkdtemp() ,				e=lowercase_ ,				d=lowercase_							)



from collections import defaultdict





def a(lowercase__			, lowercase__	):





	'''simple docstring'''
	snake_case_      		= first_str.lower().strip()
	snake_case_      		= second_str.lower().strip()

	# Remove whitespace
	snake_case_      		= first_str.replace(' '			, ''	)
	snake_case_      		= second_str.replace(' '			, ''	)

	# Strings of different lengths are not anagrams
	if len(lowercase__	) != len(lowercase__	):
		return False

	# Default values for count should be 0
	snake_case_      		= defaultdict(lowercase__	)

	# For each character in input strings,
	# increment count in the corresponding
	for i in range(len(lowercase__	)	):
		count[first_str[i]] += 1
		count[second_str[i]] -= 1

	return all(_count == 0 for _count in count.values()	)


if __name__ == "__main__":
		from doctest import testmod

		testmod()
		A											=     input('Enter the first string ').strip()
		A											=     input('Enter the second string ').strip()

		A											=     check_anagrams(input_a, input_b)
		print(f"""{input_a} and {input_b} are {"" if status else "not "}anagrams.""")
