




import unittest

from transformers import PegasusTokenizer, PegasusTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase_		:				Optional[Any]									=     get_tests_dir("fixtures/test_sentencepiece_no_bos.model")




@require_sentencepiece
@require_tokenizers
class 		__A      (			UpperCamelCase__					,						unittest.TestCase			):
						UpperCamelCase     						=					PegasusTokenizer
						UpperCamelCase     						=					PegasusTokenizerFast
						UpperCamelCase     						=					True
						UpperCamelCase     						=					True

						def     A__						(		self   :Tuple ):
										'''simple docstring'''

										super().setUp()

										# We have a SentencePiece fixture for testing
										__magic_name__	:	Tuple								=PegasusTokenizer(__snake_case )
										tokenizer.save_pretrained(self.tmpdirname )

						@cached_property
						def     A__						(		self   :Optional[int] ):
										'''simple docstring'''

										return PegasusTokenizer.from_pretrained("""google/pegasus-large""" )

						def     A__						(		self   :str    , **__snake_case   :Dict ):
										'''simple docstring'''

										return PegasusTokenizer.from_pretrained(self.tmpdirname    , **__snake_case )

						def     A__						(		self   :Optional[int]    , __snake_case   :Union[str, Any] ):
										'''simple docstring'''

										return ("This is a test", "This is a test")

						def     A__						(		self   :Tuple ):
										'''simple docstring'''

										__magic_name__	:	Union[str, Any]								="""</s>"""
										__magic_name__	:	List[str]								=1

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

						def     A__						(		self   :Any ):
										'''simple docstring'''

										__magic_name__	:	List[Any]								=list(self.get_tokenizer().get_vocab().keys() )

										self.assertEqual(vocab_keys[0]    , """<pad>""" )
										self.assertEqual(vocab_keys[1]    , """</s>""" )
										self.assertEqual(vocab_keys[-1]    , """v""" )
										self.assertEqual(len(__snake_case )    , 11_03 )

						def     A__						(		self   :Tuple ):
										'''simple docstring'''

										self.assertEqual(self.get_tokenizer().vocab_size    , 11_03 )

						def     A__						(		self   :Optional[int] ):
										'''simple docstring'''

										__magic_name__	:	Union[str, Any]								=self.rust_tokenizer_class.from_pretrained(self.tmpdirname )
										__magic_name__	:	Tuple								=self.tokenizer_class.from_pretrained(self.tmpdirname )
										__magic_name__	:	Dict								=(
										    """Let's see which <unk> is the better <unk_token_11> one <mask_1> It seems like this <mask_2> was important"""
										    """ </s> <pad> <pad> <pad>"""
										)
										__magic_name__	:	int								=rust_tokenizer([raw_input_str]    , return_tensors=__snake_case    , add_special_tokens=__snake_case ).input_ids[0]
										__magic_name__	:	Dict								=py_tokenizer([raw_input_str]    , return_tensors=__snake_case    , add_special_tokens=__snake_case ).input_ids[0]
										self.assertListEqual(__snake_case    , __snake_case )

						def     A__						(		self   :List[str] ):
										'''simple docstring'''

										__magic_name__	:	str								=self._large_tokenizer
										# <mask_1> masks whole sentence while <mask_2> masks single word
										__magic_name__	:	Tuple								="""<mask_1> To ensure a <mask_2> flow of bank resolutions."""
										__magic_name__	:	str								=[2, 4_13, 6_15, 1_14, 3, 19_71, 1_13, 16_79, 1_07_10, 1_07, 1]
										__magic_name__	:	str								=tokenizer([raw_input_str]    , return_tensors=__snake_case ).input_ids[0]
										self.assertListEqual(__snake_case    , __snake_case )

						def     A__						(		self   :List[str] ):
										'''simple docstring'''

										__magic_name__	:	Optional[Any]								=self._large_tokenizer
										# The tracebacks for the following asserts are **better** without messages or self.assertEqual
										assert tokenizer.vocab_size == 9_61_03
										assert tokenizer.pad_token_id == 0
										assert tokenizer.eos_token_id == 1
										assert tokenizer.offset == 1_03
										assert tokenizer.unk_token_id == tokenizer.offset + 2 == 1_05
										assert tokenizer.unk_token == "<unk>"
										assert tokenizer.model_max_length == 10_24
										__magic_name__	:	Optional[int]								="""To ensure a smooth flow of bank resolutions."""
										__magic_name__	:	Optional[Any]								=[4_13, 6_15, 1_14, 22_91, 19_71, 1_13, 16_79, 1_07_10, 1_07, 1]
										__magic_name__	:	Optional[int]								=tokenizer([raw_input_str]    , return_tensors=__snake_case ).input_ids[0]
										self.assertListEqual(__snake_case    , __snake_case )
										assert tokenizer.convert_ids_to_tokens([0, 1, 2, 3] ) == ["<pad>", "</s>", "<mask_1>", "<mask_2>"]

						@require_torch
						def     A__						(		self   :str ):
										'''simple docstring'''

										__magic_name__	:	int								=["""This is going to be way too long.""" * 1_50, """short example"""]
										__magic_name__	:	Union[str, Any]								=["""not super long but more than 5 tokens""", """tiny"""]
										__magic_name__	:	str								=self._large_tokenizer(__snake_case    , padding=__snake_case    , truncation=__snake_case    , return_tensors="""pt""" )
										__magic_name__	:	Tuple								=self._large_tokenizer(
										    text_target=__snake_case    , max_length=5    , padding=__snake_case    , truncation=__snake_case    , return_tensors="""pt""" )

										assert batch.input_ids.shape == (2, 10_24)
										assert batch.attention_mask.shape == (2, 10_24)
										assert targets["input_ids"].shape == (2, 5)
										assert len(__snake_case ) == 2  # input_ids, attention_mask.


						@slow
						def     A__						(		self   :Dict ):
										'''simple docstring'''

										__magic_name__	:	List[Any]								={"""input_ids""": [[3_89_79, 1_43, 1_84_85, 6_06, 1_30, 2_66_69, 8_76_86, 1_21, 5_41_89, 11_29, 1_11, 2_66_69, 8_76_86, 1_21, 91_14, 1_47_87, 1_21, 1_32_49, 1_58, 5_92, 9_56, 1_21, 1_46_21, 3_15_76, 1_43, 6_26_13, 1_08, 96_88, 9_30, 4_34_30, 1_15_62, 6_26_13, 3_04, 1_08, 1_14_43, 8_97, 1_08, 93_14, 1_74_15, 6_33_99, 1_08, 1_14_43, 76_14, 1_83_16, 1_18, 42_84, 71_48, 1_24_30, 1_43, 14_00, 2_57_03, 1_58, 1_11, 42_84, 71_48, 1_17_72, 1_43, 2_12_97, 10_64, 1_58, 1_22, 2_04, 35_06, 17_54, 11_33, 1_47_87, 15_81, 1_15, 3_32_24, 44_82, 1_11, 13_55, 1_10, 2_91_73, 3_17, 5_08_33, 1_08, 2_01_47, 9_46_65, 1_11, 7_71_98, 1_07, 1], [1_10, 6_26_13, 1_17, 6_38, 1_12, 11_33, 1_21, 2_00_98, 13_55, 7_90_50, 1_38_72, 1_35, 15_96, 5_35_41, 13_52, 1_41, 1_30_39, 55_42, 1_24, 3_02, 5_18, 1_11, 2_68, 29_56, 1_15, 1_49, 44_27, 1_07, 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], [1_39, 12_35, 27_99, 1_82_89, 1_77_80, 2_04, 1_09, 94_74, 12_96, 1_07, 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]], """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, 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, 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=__snake_case    , model_name="""google/bigbird-pegasus-large-arxiv"""    , revision="""ba85d0851d708441f91440d509690f1ab6353415"""    , )




@require_sentencepiece
@require_tokenizers
class 		__A      (			UpperCamelCase__					,						unittest.TestCase			):
						UpperCamelCase     						=					PegasusTokenizer
						UpperCamelCase     						=					PegasusTokenizerFast
						UpperCamelCase     						=					True
						UpperCamelCase     						=					True

						def     A__						(		self   :str ):
										'''simple docstring'''

										super().setUp()

										# We have a SentencePiece fixture for testing
										__magic_name__	:	Optional[Any]								=PegasusTokenizer(__snake_case    , offset=0    , mask_token_sent=__snake_case    , mask_token="""[MASK]""" )
										tokenizer.save_pretrained(self.tmpdirname )

						@cached_property
						def     A__						(		self   :Optional[Any] ):
										'''simple docstring'''

										return PegasusTokenizer.from_pretrained("""google/bigbird-pegasus-large-arxiv""" )

						def     A__						(		self   :int    , **__snake_case   :Union[str, Any] ):
										'''simple docstring'''

										return PegasusTokenizer.from_pretrained(self.tmpdirname    , **__snake_case )

						def     A__						(		self   :List[str]    , __snake_case   :Any ):
										'''simple docstring'''

										return ("This is a test", "This is a test")

						def     A__						(		self   :int ):
										'''simple docstring'''

										__magic_name__	:	Optional[Any]								=self.rust_tokenizer_class.from_pretrained(self.tmpdirname )
										__magic_name__	:	int								=self.tokenizer_class.from_pretrained(self.tmpdirname )
										__magic_name__	:	Optional[Any]								=(
										    """Let's see which <unk> is the better <unk_token> one [MASK] It seems like this [MASK] was important </s>"""
										    """ <pad> <pad> <pad>"""
										)
										__magic_name__	:	Optional[Any]								=rust_tokenizer([raw_input_str]    , return_tensors=__snake_case    , add_special_tokens=__snake_case ).input_ids[0]
										__magic_name__	:	int								=py_tokenizer([raw_input_str]    , return_tensors=__snake_case    , add_special_tokens=__snake_case ).input_ids[0]
										self.assertListEqual(__snake_case    , __snake_case )

						@require_torch
						def     A__						(		self   :Tuple ):
										'''simple docstring'''

										__magic_name__	:	str								=["""This is going to be way too long.""" * 10_00, """short example"""]
										__magic_name__	:	int								=["""not super long but more than 5 tokens""", """tiny"""]
										__magic_name__	:	Dict								=self._large_tokenizer(__snake_case    , padding=__snake_case    , truncation=__snake_case    , return_tensors="""pt""" )
										__magic_name__	:	Any								=self._large_tokenizer(
										    text_target=__snake_case    , max_length=5    , padding=__snake_case    , truncation=__snake_case    , return_tensors="""pt""" )

										assert batch.input_ids.shape == (2, 40_96)
										assert batch.attention_mask.shape == (2, 40_96)
										assert targets["input_ids"].shape == (2, 5)
										assert len(__snake_case ) == 2  # input_ids, attention_mask.


						def     A__						(		self   :Union[str, Any] ):
										'''simple docstring'''

										__magic_name__	:	Union[str, Any]								=(
										    """This is an example string that is used to test the original TF implementation against the HF"""
										    """ implementation"""
										)

										__magic_name__	:	Optional[int]								=self._large_tokenizer(__snake_case ).input_ids

										self.assertListEqual(
										    __snake_case    , [1_82, 1_17, 1_42, 5_87, 42_11, 1_20, 1_17, 2_63, 1_12, 8_04, 1_09, 8_56, 2_50_16, 31_37, 4_64, 1_09, 2_69_55, 31_37, 1]    , )










def 		lowerCAmelCase_   (	lowerCamelCase   ):
				__magic_name__	:	Optional[int]								=[]
				__magic_name__	:	int								=[]
				__magic_name__	:	str								={
				    """^""": 3,
				    """*""": 2,
				    """/""": 2,
				    """%""": 2,
				    """+""": 1,
				    """-""": 1,
				}  # Priority of each operator
				__magic_name__	:	Dict								=len(lowerCamelCase   ) if (len(lowerCamelCase   ) > 7) else 7

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

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

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

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

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




def 		lowerCAmelCase_   (	lowerCamelCase   ):
				__magic_name__	:	Union[str, Any]								=list(infix[::-1]   )  # reverse the infix equation

				for i in range(len(lowerCamelCase   )   ):
								if infix[i] == "(":
												__magic_name__	:	str								=""")"""  # change "(" to ")"
								elif infix[i] == ")":
												__magic_name__	:	int								="""("""  # change ")" to "("

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


if __name__ == "__main__":
							UpperCAmelCase_		:				Tuple									=     input("\nEnter an Infix Equation = ")  # Input an Infix equation
							UpperCAmelCase_		:				Dict									=     "".join(Infix.split())  # Remove spaces from the input
							print("\n\t", Infix, "(Infix) -> ", infix_2_prefix(Infix), "(Prefix)")




