



from __future__ import annotations


class      __lowerCAmelCase     :
					"""simple docstring"""






					def __init__(     self					:       str				,					_snake_case					:       str				,					_snake_case					:       str					):






								"""simple docstring"""


								A__     , A__       =    text, pattern
								A__     , A__       =    len(_snake_case					), len(_snake_case					)



					def     _a							(     self					:       Optional[Any]				,					_snake_case					:       str					):






								"""simple docstring"""


								for i in range(self.patLen - 1				,					-1				,					-1					):
											if char == self.pattern[i]:
														return i
								return -1



					def     _a							(     self					:       Any				,					_snake_case					:       int					):






								"""simple docstring"""


								for i in range(self.patLen - 1				,					-1				,					-1					):
											if self.pattern[i] != self.text[current_pos + i]:
														return current_pos + i
								return -1



					def     _a							(     self					:       List[Any]					):






								"""simple docstring"""


								A__       =    []
								for i in range(self.textLen - self.patLen + 1					):
											A__       =    self.mismatch_in_text(_snake_case					)
											if mismatch_index == -1:
														positions.append(_snake_case					)
											else:
														A__       =    self.match_in_pattern(self.text[mismatch_index]					)
														A__       =    (
														    mismatch_index - match_index
														)  # shifting index lgtm [py/multiple-definition]
								return positions







SCREAMING_SNAKE_CASE__       =      '''ABAABA'''
SCREAMING_SNAKE_CASE__       =      '''AB'''
SCREAMING_SNAKE_CASE__       =      BoyerMooreSearch(text, pattern)
SCREAMING_SNAKE_CASE__       =      bms.bad_character_heuristic()

if len(positions) == 0:
							print('''No match found''')
else:
							print('''Pattern found in following positions: ''')
							print(positions)





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


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


@require_torch
class      __lowerCAmelCase     (		unittest.TestCase      ):
					"""simple docstring"""






					@cached_property
					def     _a							(     self					:       Optional[int]					):






								"""simple docstring"""


								return AutoConfig.from_pretrained(_snake_case					)



					def     _a							(     self					:       Optional[Any]					):






								"""simple docstring"""


								A__     , *A__       =    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					:       Optional[int]					):






								"""simple docstring"""


								A__     , *A__       =    create_student_by_copying_alternating_layers(_snake_case				,					tempfile.mkdtemp()				,					e=1				,					d=_snake_case					)



					def     _a							(     self					:       int					):






								"""simple docstring"""


								A__     , *A__       =    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					:       str					):






								"""simple docstring"""


								A__     , *A__       =    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					:       str					):






								"""simple docstring"""


								with self.assertRaises(_snake_case					):
											create_student_by_copying_alternating_layers(_snake_case				,					tempfile.mkdtemp()				,					e=_snake_case				,					d=_snake_case					)




