



"""simple docstring"""
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, BatchEncoding, MBartaaTokenizer, MBartaaTokenizerFast, is_torch_available
from transformers.testing_utils import (
    get_tests_dir,
    nested_simplify,
    require_sentencepiece,
    require_tokenizers,
    require_torch,
    slow,
)

from ...test_tokenization_common import TokenizerTesterMixin


__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      get_tests_dir('''fixtures/test_sentencepiece.model''')

if is_torch_available():
			from transformers.models.mbart.modeling_mbart import shift_tokens_right

__SCREAMING_SNAKE_CASE  :						Optional[int]    							=      2_5_0_0_0_4
__SCREAMING_SNAKE_CASE  :						Optional[Any]    							=      2_5_0_0_2_0


@require_sentencepiece
@require_tokenizers
class 							lowerCamelCase_(   A__,				unittest.TestCase    ):





					'''simple docstring'''



					lowercase__   :       Any										= MBartaaTokenizer
					lowercase__   :       Union[str, Any]										= MBartaaTokenizerFast
					lowercase__   :       Tuple										= True
					lowercase__   :       Optional[Any]										= True

					def 			snake_case__      (    self   ):
									super().setUp()

									# We have a SentencePiece fixture for testing
									_lowerCamelCase        =				MBartaaTokenizer(lowerCamelCase__				,       src_lang='''en_XX'''				,       tgt_lang='''ro_RO'''				,       keep_accents=lowerCamelCase__   )
									tokenizer.save_pretrained(self.tmpdirname   )

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				'''<s>'''
									_lowerCamelCase        =				0

									self.assertEqual(self.get_tokenizer()._convert_token_to_id(lowerCamelCase__   )				,       lowerCamelCase__   )
									self.assertEqual(self.get_tokenizer()._convert_id_to_token(lowerCamelCase__   )				,       lowerCamelCase__   )

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				list(self.get_tokenizer().get_vocab().keys()   )

									self.assertEqual(vocab_keys[0]				,       '''<s>'''   )
									self.assertEqual(vocab_keys[1]				,       '''<pad>'''   )
									self.assertEqual(vocab_keys[-1]				,       '''<mask>'''   )
									self.assertEqual(len(lowerCamelCase__   )				,       1_0_5_4   )

					def 			snake_case__      (    self   ):
									self.assertEqual(self.get_tokenizer().vocab_size				,       1_0_5_4   )

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				MBartaaTokenizer(lowerCamelCase__				,       src_lang='''en_XX'''				,       tgt_lang='''ro_RO'''				,       keep_accents=lowerCamelCase__   )

									_lowerCamelCase        =				tokenizer.tokenize('''This is a test'''   )
									self.assertListEqual(lowerCamelCase__				,       ['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']   )

									self.assertListEqual(
									    tokenizer.convert_tokens_to_ids(lowerCamelCase__   )				,       [value + tokenizer.fairseq_offset for value in [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]				,       )

									_lowerCamelCase        =				tokenizer.tokenize('''I was born in 92000, and this is falsé.'''   )
									self.assertListEqual(
									    lowerCamelCase__				,       [SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''9''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''é''', '''.''']				,       )
									_lowerCamelCase        =				tokenizer.convert_tokens_to_ids(lowerCamelCase__   )
									self.assertListEqual(
									    lowerCamelCase__				,       [
									        value + tokenizer.fairseq_offset
									        for value in [8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 2, 4]
									    ]				,       )

									_lowerCamelCase        =				tokenizer.convert_ids_to_tokens(lowerCamelCase__   )
									self.assertListEqual(
									    lowerCamelCase__				,       [SPIECE_UNDERLINE + '''I''', SPIECE_UNDERLINE + '''was''', SPIECE_UNDERLINE + '''b''', '''or''', '''n''', SPIECE_UNDERLINE + '''in''', SPIECE_UNDERLINE + '''''', '''<unk>''', '''2''', '''0''', '''0''', '''0''', ''',''', SPIECE_UNDERLINE + '''and''', SPIECE_UNDERLINE + '''this''', SPIECE_UNDERLINE + '''is''', SPIECE_UNDERLINE + '''f''', '''al''', '''s''', '''<unk>''', '''.''']				,       )

					@slow
					def 			snake_case__      (    self   ):
									# fmt: off
									_lowerCamelCase        =				{'''input_ids''': [[2_5_0_0_0_4, 1_1_0_6_2, 8_2_7_7_2, 7, 1_5, 8_2_7_7_2, 5_3_8, 5_1_5_2_9, 2_3_7, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 2_1_5_1_7_5, 1_3_1_4, 1_3_6, 1_7_1_9_8, 1_2_9_0, 2_0_6, 9, 5_6_3_5_9, 4_2, 1_2_2_0_0_9, 9, 1_6_4_6_6, 1_6, 8_7_3_4_4, 4_5_3_7, 9, 4_7_1_7, 7_8_3_8_1, 6, 1_5_9_9_5_8, 7, 1_5, 2_4_4_8_0, 6_1_8, 4, 5_2_7, 2_2_6_9_3, 5_4_2_8, 4, 2_7_7_7, 2_4_4_8_0, 9_8_7_4, 4, 4_3_5_2_3, 5_9_4, 4, 8_0_3, 1_8_3_9_2, 3_3_1_8_9, 1_8, 4, 4_3_5_2_3, 2_4_4_4_7, 1_2_3_9_9, 1_0_0, 2_4_9_5_5, 8_3_6_5_8, 9_6_2_6, 1_4_4_0_5_7, 1_5, 8_3_9, 2_2_3_3_5, 1_6, 1_3_6, 2_4_9_5_5, 8_3_6_5_8, 8_3_4_7_9, 1_5, 3_9_1_0_2, 7_2_4, 1_6, 6_7_8, 6_4_5, 2_7_8_9, 1_3_2_8, 4_5_8_9, 4_2, 1_2_2_0_0_9, 1_1_5_7_7_4, 2_3, 8_0_5, 1_3_2_8, 4_6_8_7_6, 7, 1_3_6, 5_3_8_9_4, 1_9_4_0, 4_2_2_2_7, 4_1_1_5_9, 1_7_7_2_1, 8_2_3, 4_2_5, 4, 2_7_5_1_2, 9_8_7_2_2, 2_0_6, 1_3_6, 5_5_3_1, 4_9_7_0, 9_1_9, 1_7_3_3_6, 5, 2], [2_5_0_0_0_4, 2_0_0_8_0, 6_1_8, 8_3, 8_2_7_7_5, 4_7, 4_7_9, 9, 1_5_1_7, 7_3, 5_3_8_9_4, 3_3_3, 8_0_5_8_1, 1_1_0_1_1_7, 1_8_8_1_1, 5_2_5_6, 1_2_9_5, 5_1, 1_5_2_5_2_6, 2_9_7, 7_9_8_6, 3_9_0, 1_2_4_4_1_6, 5_3_8, 3_5_4_3_1, 2_1_4, 9_8, 1_5_0_4_4, 2_5_7_3_7, 1_3_6, 7_1_0_8, 4_3_7_0_1, 2_3, 7_5_6, 1_3_5_3_5_5, 7, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [2_5_0_0_0_4, 5_8_1, 6_3_7_7_3, 1_1_9_4_5_5, 6, 1_4_7_7_9_7, 8_8_2_0_3, 7, 6_4_5, 7_0, 2_1, 3_2_8_5, 1_0_2_6_9, 5, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]], '''attention_mask''': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
									# fmt: on

									self.tokenizer_integration_test_util(
									    expected_encoding=lowerCamelCase__				,       model_name='''facebook/mbart-large-50'''				,       revision='''d3913889c59cd5c9e456b269c376325eabad57e2'''				,       )





					def 			snake_case__      (    self   ):
									if not self.test_slow_tokenizer:
													# as we don't have a slow version, we can't compare the outputs between slow and fast versions
													return

									_lowerCamelCase        =				(self.rust_tokenizer_class, '''hf-internal-testing/tiny-random-mbart50''', {})
									for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
													with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})"""   ):
																	_lowerCamelCase        =				self.rust_tokenizer_class.from_pretrained(lowerCamelCase__				,       **lowerCamelCase__   )
																	_lowerCamelCase        =				self.tokenizer_class.from_pretrained(lowerCamelCase__				,       **lowerCamelCase__   )

																	_lowerCamelCase        =				tempfile.mkdtemp()

																	_lowerCamelCase        =				tokenizer_r.save_pretrained(lowerCamelCase__   )
																	_lowerCamelCase        =				tokenizer_p.save_pretrained(lowerCamelCase__   )

																	# Checks it save with the same files + the tokenizer.json file for the fast one
																	self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files   )   )
																	_lowerCamelCase        =				tuple(f for f in tokenizer_r_files if '''tokenizer.json''' not in f   )
																	self.assertSequenceEqual(lowerCamelCase__				,       lowerCamelCase__   )

																	# Checks everything loads correctly in the same way
																	_lowerCamelCase        =				tokenizer_r.from_pretrained(lowerCamelCase__   )
																	_lowerCamelCase        =				tokenizer_p.from_pretrained(lowerCamelCase__   )

																	# Check special tokens are set accordingly on Rust and Python
																	for key in tokenizer_pp.special_tokens_map:
																					self.assertTrue(hasattr(lowerCamelCase__				,       lowerCamelCase__   )   )
																					# self.assertEqual(getattr(tokenizer_rp, key), getattr(tokenizer_pp, key))
																					# self.assertEqual(getattr(tokenizer_rp, key + "_id"), getattr(tokenizer_pp, key + "_id"))

																	shutil.rmtree(lowerCamelCase__   )

																	# Save tokenizer rust, legacy_format=True
																	_lowerCamelCase        =				tempfile.mkdtemp()

																	_lowerCamelCase        =				tokenizer_r.save_pretrained(lowerCamelCase__				,       legacy_format=lowerCamelCase__   )
																	_lowerCamelCase        =				tokenizer_p.save_pretrained(lowerCamelCase__   )

																	# Checks it save with the same files
																	self.assertSequenceEqual(lowerCamelCase__				,       lowerCamelCase__   )

																	# Checks everything loads correctly in the same way
																	_lowerCamelCase        =				tokenizer_r.from_pretrained(lowerCamelCase__   )
																	_lowerCamelCase        =				tokenizer_p.from_pretrained(lowerCamelCase__   )

																	# Check special tokens are set accordingly on Rust and Python
																	for key in tokenizer_pp.special_tokens_map:
																					self.assertTrue(hasattr(lowerCamelCase__				,       lowerCamelCase__   )   )

																	shutil.rmtree(lowerCamelCase__   )

																	# Save tokenizer rust, legacy_format=False
																	_lowerCamelCase        =				tempfile.mkdtemp()

																	_lowerCamelCase        =				tokenizer_r.save_pretrained(lowerCamelCase__				,       legacy_format=lowerCamelCase__   )
																	_lowerCamelCase        =				tokenizer_p.save_pretrained(lowerCamelCase__   )

																	# Checks it saved the tokenizer.json file
																	self.assertTrue(any('''tokenizer.json''' in f for f in tokenizer_r_files   )   )

																	# Checks everything loads correctly in the same way
																	_lowerCamelCase        =				tokenizer_r.from_pretrained(lowerCamelCase__   )
																	_lowerCamelCase        =				tokenizer_p.from_pretrained(lowerCamelCase__   )

																	# Check special tokens are set accordingly on Rust and Python
																	for key in tokenizer_pp.special_tokens_map:
																					self.assertTrue(hasattr(lowerCamelCase__				,       lowerCamelCase__   )   )

																	shutil.rmtree(lowerCamelCase__   )


@require_torch
@require_sentencepiece
@require_tokenizers
class 							lowerCamelCase_(   unittest.TestCase    ):





					'''simple docstring'''



					lowercase__   :       List[str]										= 'facebook/mbart-large-50-one-to-many-mmt'
					lowercase__   :       Union[str, Any]										= [
					    ' UN Chief Says There Is No Military Solution in Syria',
					    ' Secretary-General Ban Ki-moon says his response to Russia\'s stepped up military support for Syria is that "there is no military solution" to the nearly five-year conflict and more weapons will only worsen the violence and misery for millions of people.',
					]
					lowercase__   :       Optional[Any]										= [
					    'Şeful ONU declară că nu există o soluţie militară în Siria',
					    'Secretarul General Ban Ki-moon declară că răspunsul său la intensificarea sprijinului militar al Rusiei'
					    ' pentru Siria este că "nu există o soluţie militară" la conflictul de aproape cinci ani şi că noi arme nu vor'
					    ' face decât să înrăutăţească violenţele şi mizeria pentru milioane de oameni.',
					]
					lowercase__   :       Union[str, Any]										= [EN_CODE, 8_274, 127_873, 25_916, 7, 8_622, 2_071, 438, 67_485, 53, 187_895, 23, 51_712, 2]

					@classmethod
					def 			snake_case__      (    cls   ):
									_lowerCamelCase        =				MBartaaTokenizer.from_pretrained(
									    cls.checkpoint_name				,       src_lang='''en_XX'''				,       tgt_lang='''ro_RO'''   )
									_lowerCamelCase        =				1
									return cls

					def 			snake_case__      (    self   ):
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ar_AR''']				,       2_5_0_0_0_1   )
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''en_EN''']				,       2_5_0_0_0_4   )
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''ro_RO''']				,       2_5_0_0_2_0   )
									self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['''mr_IN''']				,       2_5_0_0_3_8   )

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
									self.assertListEqual(self.expected_src_tokens				,       lowerCamelCase__   )

					def 			snake_case__      (    self   ):
									self.assertIn(lowerCamelCase__				,       self.tokenizer.all_special_ids   )
									_lowerCamelCase        =				[RO_CODE, 8_8_4, 9_0_1_9, 9_6, 9, 9_1_6, 8_6_7_9_2, 3_6, 1_8_7_4_3, 1_5_5_9_6, 5, 2]
									_lowerCamelCase        =				self.tokenizer.decode(lowerCamelCase__				,       skip_special_tokens=lowerCamelCase__   )
									_lowerCamelCase        =				self.tokenizer.decode(generated_ids[1:]				,       skip_special_tokens=lowerCamelCase__   )
									self.assertEqual(lowerCamelCase__				,       lowerCamelCase__   )
									self.assertNotIn(self.tokenizer.eos_token				,       lowerCamelCase__   )

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				['''this is gunna be a long sentence ''' * 2_0]
									assert isinstance(src_text[0]				,       lowerCamelCase__   )
									_lowerCamelCase        =				1_0
									_lowerCamelCase        =				self.tokenizer(lowerCamelCase__				,       max_length=lowerCamelCase__				,       truncation=lowerCamelCase__   ).input_ids[0]
									self.assertEqual(ids[0]				,       lowerCamelCase__   )
									self.assertEqual(ids[-1]				,       2   )
									self.assertEqual(len(lowerCamelCase__   )				,       lowerCamelCase__   )

					def 			snake_case__      (    self   ):
									self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['''<mask>''', '''ar_AR''']   )				,       [2_5_0_0_5_3, 2_5_0_0_0_1]   )

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				tempfile.mkdtemp()
									_lowerCamelCase        =				self.tokenizer.fairseq_tokens_to_ids
									self.tokenizer.save_pretrained(lowerCamelCase__   )
									_lowerCamelCase        =				MBartaaTokenizer.from_pretrained(lowerCamelCase__   )
									self.assertDictEqual(new_tok.fairseq_tokens_to_ids				,       lowerCamelCase__   )

					@require_torch
					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer(self.src_text				,       text_target=self.tgt_text				,       padding=lowerCamelCase__				,       return_tensors='''pt'''   )
									_lowerCamelCase        =				shift_tokens_right(batch['''labels''']				,       self.tokenizer.pad_token_id   )

									# fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
									assert batch.input_ids[1][0] == EN_CODE
									assert batch.input_ids[1][-1] == 2
									assert batch.labels[1][0] == RO_CODE
									assert batch.labels[1][-1] == 2
									assert batch.decoder_input_ids[1][:2].tolist() == [2, RO_CODE]

					@require_torch
					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer(
									    self.src_text				,       text_target=self.tgt_text				,       padding=lowerCamelCase__				,       truncation=lowerCamelCase__				,       max_length=len(self.expected_src_tokens   )				,       return_tensors='''pt'''				,       )
									_lowerCamelCase        =				shift_tokens_right(batch['''labels''']				,       self.tokenizer.pad_token_id   )

									self.assertIsInstance(lowerCamelCase__				,       lowerCamelCase__   )

									self.assertEqual((2, 1_4)				,       batch.input_ids.shape   )
									self.assertEqual((2, 1_4)				,       batch.attention_mask.shape   )
									_lowerCamelCase        =				batch.input_ids.tolist()[0]
									self.assertListEqual(self.expected_src_tokens				,       lowerCamelCase__   )
									self.assertEqual(2				,       batch.decoder_input_ids[0, 0]   )  # decoder_start_token_id
									# Test that special tokens are reset
									self.assertEqual(self.tokenizer.prefix_tokens				,       [EN_CODE]   )
									self.assertEqual(self.tokenizer.suffix_tokens				,       [self.tokenizer.eos_token_id]   )

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer(self.src_text				,       padding=lowerCamelCase__				,       truncation=lowerCamelCase__				,       max_length=3				,       return_tensors='''pt'''   )
									_lowerCamelCase        =				self.tokenizer(
									    text_target=self.tgt_text				,       padding=lowerCamelCase__				,       truncation=lowerCamelCase__				,       max_length=1_0				,       return_tensors='''pt'''   )
									_lowerCamelCase        =				targets['''input_ids''']
									_lowerCamelCase        =				shift_tokens_right(lowerCamelCase__				,       self.tokenizer.pad_token_id   )

									self.assertEqual(batch.input_ids.shape[1]				,       3   )
									self.assertEqual(batch.decoder_input_ids.shape[1]				,       1_0   )





					@require_torch
					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.tokenizer._build_translation_inputs(
									    '''A test'''				,       return_tensors='''pt'''				,       src_lang='''en_XX'''				,       tgt_lang='''ar_AR'''   )

									self.assertEqual(
									    nested_simplify(lowerCamelCase__   )				,       {
									        # en_XX, A, test, EOS
									        '''input_ids''': [[2_5_0_0_0_4, 6_2, 3_0_3_4, 2]],
									        '''attention_mask''': [[1, 1, 1, 1]],
									        # ar_AR
									        '''forced_bos_token_id''': 2_5_0_0_0_1,
									    }				,       )





"""simple docstring"""
from typing import Any


class 							lowerCamelCase_:





					'''simple docstring'''



					def __init__(    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				data
									_lowerCamelCase        =				None


class 							lowerCamelCase_:





					'''simple docstring'''



					def __init__(    self   ):
									_lowerCamelCase        =				None

					def 			snake_case__      (    self   ):
									_lowerCamelCase        =				self.head
									while temp is not None:
													print(temp.data				,       end=''' '''   )
													_lowerCamelCase        =				temp.next
									print()

					def 			snake_case__      (    self				,       lowerCamelCase__   ):
									_lowerCamelCase        =				Node(lowerCamelCase__   )
									_lowerCamelCase        =				self.head
									_lowerCamelCase        =				new_node





					def 			snake_case__      (    self				,       lowerCamelCase__				,       lowerCamelCase__   ):
									if node_data_a == node_data_a:
													return
									else:
													_lowerCamelCase        =				self.head
													while node_a is not None and node_a.data != node_data_a:
																	_lowerCamelCase        =				node_a.next

													_lowerCamelCase        =				self.head
													while node_a is not None and node_a.data != node_data_a:
																	_lowerCamelCase        =				node_a.next

													if node_a is None or node_a is None:
																	return

													_lowerCamelCase  ,     _lowerCamelCase        =				node_a.data, node_a.data


if __name__ == "__main__":
			__SCREAMING_SNAKE_CASE  :						List[Any]    							=      LinkedList()
			for i in range(5, 0, -1):
						ll.push(i)

			ll.print_list()

			ll.swap_nodes(1, 4)
			print('''After swapping''')
			ll.print_list()
