





"""simple docstring"""






import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import BatchEncoding, MarianTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
from transformers.utils import is_sentencepiece_available, is_tf_available, is_torch_available


if is_sentencepiece_available():
							from transformers.models.marian.tokenization_marian import VOCAB_FILES_NAMES, save_json

from ...test_tokenization_common import TokenizerTesterMixin


A	     =					get_tests_dir('''fixtures/test_sentencepiece.model''')

A	     =					{'''target_lang''': '''fi''', '''source_lang''': '''en'''}
A	     =					'''>>zh<<'''
A	     =					'''Helsinki-NLP/'''

if is_torch_available():
							A	     =					'''pt'''
elif is_tf_available():
							A	     =					'''tf'''
else:
							A	     =					'''jax'''




@require_sentencepiece
class 			__lowercase     (     _UpperCamelCase				, unittest.TestCase							):







					'''simple docstring'''




					__lowerCAmelCase					=					MarianTokenizer
					__lowerCAmelCase					=					False
					__lowerCAmelCase					=					True







					def 	_lowerCamelCase						(  self       ):
									super().setUp()
									__a	:  int         =					['''</s>''', '''<unk>''', '''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''', '''\u0120''', '''<pad>''']
									__a	:  Optional[Any]         =					dict(zip(_UpperCAmelCase		,     range(len(_UpperCAmelCase       )       )       )       )
									__a	:  Optional[int]         =					Path(self.tmpdirname       )
									save_json(_UpperCAmelCase		,     save_dir / VOCAB_FILES_NAMES['''vocab''']       )
									save_json(_UpperCAmelCase		,     save_dir / VOCAB_FILES_NAMES['''tokenizer_config_file''']       )
									if not (save_dir / VOCAB_FILES_NAMES["source_spm"]).exists():
													copyfile(_UpperCAmelCase		,     save_dir / VOCAB_FILES_NAMES['''source_spm''']       )
													copyfile(_UpperCAmelCase		,     save_dir / VOCAB_FILES_NAMES['''target_spm''']       )

									__a	:  Dict         =					MarianTokenizer.from_pretrained(self.tmpdirname       )
									tokenizer.save_pretrained(self.tmpdirname       )







					def 	_lowerCamelCase						(  self		,     **_UpperCAmelCase       ):
									return MarianTokenizer.from_pretrained(self.tmpdirname		,     **_UpperCAmelCase       )







					def 	_lowerCamelCase						(  self		,     _UpperCAmelCase       ):
									return (
									    "This is a test",
									    "This is a test",
									)







					def 	_lowerCamelCase						(  self       ):
									__a	:  Tuple         =					'''</s>'''
									__a	:  int         =					0

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







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

									self.assertEqual(vocab_keys[0]		,     '''</s>'''       )
									self.assertEqual(vocab_keys[1]		,     '''<unk>'''       )
									self.assertEqual(vocab_keys[-1]		,     '''<pad>'''       )
									self.assertEqual(len(_UpperCAmelCase       )		,     9       )







					def 	_lowerCamelCase						(  self       ):
									self.assertEqual(self.get_tokenizer().vocab_size		,     9       )







					def 	_lowerCamelCase						(  self       ):
									__a	:  Tuple         =					MarianTokenizer.from_pretrained(f"""{ORG_NAME}opus-mt-en-de"""       )
									__a	:  Dict         =					en_de_tokenizer(['''I am a small frog''']		,     return_tensors=_UpperCAmelCase       )
									self.assertIsInstance(_UpperCAmelCase		,     _UpperCAmelCase       )
									__a	:  str         =					[38, 121, 14, 697, 38848, 0]
									self.assertListEqual(_UpperCAmelCase		,     batch.input_ids[0]       )

									__a	:  Optional[int]         =					tempfile.mkdtemp()
									en_de_tokenizer.save_pretrained(_UpperCAmelCase       )
									__a	:  Dict         =					[x.name for x in Path(_UpperCAmelCase       ).glob('''*'''       )]
									self.assertIn('''source.spm'''		,     _UpperCAmelCase       )
									MarianTokenizer.from_pretrained(_UpperCAmelCase       )







					def 	_lowerCamelCase						(  self       ):
									__a	:  Any         =					self.get_tokenizer()

									__a	:  Optional[int]         =					tok(
									    ['''I am a small frog''' * 1000, '''I am a small frog''']		,     padding=_UpperCAmelCase		,     truncation=_UpperCAmelCase		,     return_tensors=_UpperCAmelCase       )
									self.assertIsInstance(_UpperCAmelCase		,     _UpperCAmelCase       )
									self.assertEqual(batch.input_ids.shape		,     (2, 512)       )







					def 	_lowerCamelCase						(  self       ):
									__a	:  Optional[Any]         =					self.get_tokenizer()
									__a	:  Union[str, Any]         =					tok(['''I am a tiny frog''', '''I am a small frog''']		,     padding=_UpperCAmelCase		,     return_tensors=_UpperCAmelCase       )
									self.assertIsInstance(_UpperCAmelCase		,     _UpperCAmelCase       )
									self.assertEqual(batch_smaller.input_ids.shape		,     (2, 10)       )







					@slow
					def 	_lowerCamelCase						(  self       ):
									# fmt: off
									__a	:  Optional[Any]         =					{'''input_ids''': [[43495, 462, 20, 42164, 1369, 52, 464, 132, 1703, 492, 13, 7491, 38999, 6, 8, 464, 132, 1703, 492, 13, 4669, 37867, 13, 7525, 27, 1593, 988, 13, 33972, 7029, 6, 20, 8251, 383, 2, 270, 5866, 3788, 2, 2353, 8251, 12338, 2, 13958, 387, 2, 3629, 6953, 188, 2900, 2, 13958, 8011, 11501, 23, 8460, 4073, 34009, 20, 435, 11439, 27, 8, 8460, 4073, 6004, 20, 9988, 375, 27, 33, 266, 1945, 1076, 1350, 37867, 3288, 5, 577, 1076, 4374, 8, 5082, 5, 26453, 257, 556, 403, 2, 242, 132, 383, 316, 492, 8, 10767, 6, 316, 304, 4239, 3, 0], [148, 15722, 19, 1839, 12, 1350, 13, 22327, 5082, 5418, 47567, 35938, 59, 318, 19552, 108, 2183, 54, 14976, 4835, 32, 547, 1114, 8, 315, 2417, 5, 92, 19088, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100], [36, 6395, 12570, 39147, 11597, 6, 266, 4, 45405, 7296, 3, 0, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100, 58100]], '''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, 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], [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]]}  # noqa: E501
									# fmt: on

									self.tokenizer_integration_test_util(
									    expected_encoding=_UpperCAmelCase		,     model_name='''Helsinki-NLP/opus-mt-en-de'''		,     revision='''1a8c2263da11e68e50938f97e10cd57820bd504c'''		,     decode_kwargs={'''use_source_tokenizer''': True}		,     )







					def 	_lowerCamelCase						(  self       ):
									__a	:  str         =					MarianTokenizer.from_pretrained('''hf-internal-testing/test-marian-two-vocabs'''       )

									__a	:  List[str]         =					'''Tämä on testi'''
									__a	:  str         =					'''This is a test'''

									__a	:  Tuple         =					[76, 7, 2047, 2]
									__a	:  Union[str, Any]         =					[69, 12, 11, 940, 2]

									__a	:  Union[str, Any]         =					tokenizer(_UpperCAmelCase       ).input_ids
									self.assertListEqual(_UpperCAmelCase		,     _UpperCAmelCase       )

									__a	:  List[str]         =					tokenizer(text_target=_UpperCAmelCase       ).input_ids
									self.assertListEqual(_UpperCAmelCase		,     _UpperCAmelCase       )

									__a	:  int         =					tokenizer.decode(_UpperCAmelCase		,     skip_special_tokens=_UpperCAmelCase       )
									self.assertEqual(_UpperCAmelCase		,     _UpperCAmelCase       )






"""simple docstring"""






def       __A (     a_  :int)						->						Union[str, Any]:
				__a	:  int         =					[]
				__a	:  Dict         =					[]
				__a	:  str         =					{
				    '''^''': 3,
				    '''*''': 2,
				    '''/''': 2,
				    '''%''': 2,
				    '''+''': 1,
				    '''-''': 1,
				}  # Priority of each operator
				__a	:  Tuple         =					len(a_) if (len(a_) > 7) else 7

				# Print table header for output
				print(
				    '''Symbol'''.center(8)				,    '''Stack'''.center(a_)				,    '''Postfix'''.center(a_)				,    sep=''' | '''				,    )
				print('''-''' * (print_width * 3 + 7))

				for x in infix:
								if x.isalpha() or x.isdigit():
												post_fix.append(a_)  # if x is Alphabet / Digit, add it to Postfix
								elif x == "(":
												stack.append(a_)  # if x is "(" push to Stack
								elif x == ")":  # if x is ")" pop stack until "(" is encountered
												while stack[-1] != "(":
																post_fix.append(stack.pop())  # Pop stack & add the content to Postfix
												stack.pop()
								else:
												if len(a_) == 0:
																stack.append(a_)  # If stack is empty, push x to stack
												else:  # while priority of x is not > priority of element in the stack
																while len(a_) > 0 and priority[x] <= priority[stack[-1]]:
																				post_fix.append(stack.pop())  # pop stack & add to Postfix
																stack.append(a_)  # push x to stack

								print(
								    x.center(8)				,    (''''''.join(a_)).ljust(a_)				,    (''''''.join(a_)).ljust(a_)				,    sep=''' | '''				,    )  # Output in tabular format

				while len(a_) > 0:  # while stack is not empty
								post_fix.append(stack.pop())  # pop stack & add to Postfix
								print(
								    ''' '''.center(8)				,    (''''''.join(a_)).ljust(a_)				,    (''''''.join(a_)).ljust(a_)				,    sep=''' | '''				,    )  # Output in tabular format

				return "".join(a_)  # return Postfix as str

def       __A (     a_  :int)						->						List[Any]:
				__a	:  Dict         =					list(infix[::-1])  # reverse the infix equation

				for i in range(len(a_)):
								if infix[i] == "(":
												__a	:  Union[str, Any]         =					''')'''  # change "(" to ")"
								elif infix[i] == ")":
												__a	:  List[str]         =					'''('''  # change ")" to "("

				return (infix_2_postfix(''''''.join(a_)))[
				    ::-1
				]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
		A	     =					input('''\nEnter an Infix Equation = ''')  # Input an Infix equation
		A	     =					''''''.join(Infix.split())  # Remove spaces from the input
		print('''\n\t''', Infix, '''(Infix) -> ''', infix_2_prefix(Infix), '''(Prefix)''')