
import json
import os
import unittest

from transformers import AutoTokenizer, GPTaTokenizer, GPTaTokenizerFast
from transformers.models.gpta.tokenization_gpta import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class 							UpperCamelCase__						(     __lowerCamelCase    ,  unittest.TestCase     ):






       """simple docstring"""


       UpperCAmelCase_							    =GPTaTokenizer
       UpperCAmelCase_							    =GPTaTokenizerFast
       UpperCAmelCase_							    =True
       UpperCAmelCase_							    ={"add_prefix_space": True}
       UpperCAmelCase_							    =False



       def   _UpperCamelCase     (				self     )							->							Dict:
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          SCREAMING_SNAKE_CASE_     =	[
              """l""",
              """o""",
              """w""",
              """e""",
              """r""",
              """s""",
              """t""",
              """i""",
              """d""",
              """n""",
              """\u0120""",
              """\u0120l""",
              """\u0120n""",
              """\u0120lo""",
              """\u0120low""",
              """er""",
              """\u0120lowest""",
              """\u0120newer""",
              """\u0120wider""",
              """<unk>""",
              """<|endoftext|>""",
          ]
          SCREAMING_SNAKE_CASE_     =	dict(zip(_A      ,			range(len(_A     )     )     )     )
          SCREAMING_SNAKE_CASE_     =	["""#version: 0.2""", """\u0120 l""", """\u0120l o""", """\u0120lo w""", """e r""", """"""]
          SCREAMING_SNAKE_CASE_     =	{"""unk_token""": """<unk>"""}

          SCREAMING_SNAKE_CASE_     =	os.path.join(self.tmpdirname      ,			VOCAB_FILES_NAMES['''vocab_file''']     )
          SCREAMING_SNAKE_CASE_     =	os.path.join(self.tmpdirname      ,			VOCAB_FILES_NAMES['''merges_file''']     )
          with open(self.vocab_file      ,			'''w'''      ,			encoding='''utf-8'''     ) as fp:
             fp.write(json.dumps(_A     ) + '''\n'''     )
          with open(self.merges_file      ,			'''w'''      ,			encoding='''utf-8'''     ) as fp:
             fp.write('''\n'''.join(_A     )     )



       def   _UpperCamelCase     (				self      ,			**_A     )							->							Any:
          kwargs.update(self.special_tokens_map     )
          return GPTaTokenizer.from_pretrained(self.tmpdirname      ,			**_A     )



       def   _UpperCamelCase     (				self      ,			**_A     )							->							str:
          kwargs.update(self.special_tokens_map     )
          return GPTaTokenizerFast.from_pretrained(self.tmpdirname      ,			**_A     )



       def   _UpperCamelCase     (				self      ,			_A     )							->							Optional[int]:
          SCREAMING_SNAKE_CASE_     =	"""lower newer"""
          SCREAMING_SNAKE_CASE_     =	"""lower newer"""
          return input_text, output_text



       def   _UpperCamelCase     (				self     )							->							Optional[int]:
          SCREAMING_SNAKE_CASE_     =	GPTaTokenizer(self.vocab_file      ,			self.merges_file      ,			**self.special_tokens_map     )
          SCREAMING_SNAKE_CASE_     =	"""lower newer"""
          SCREAMING_SNAKE_CASE_     =	["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
          SCREAMING_SNAKE_CASE_     =	tokenizer.tokenize(_A      ,			add_prefix_space=_A     )
          self.assertListEqual(_A      ,			_A     )

          SCREAMING_SNAKE_CASE_     =	tokens + [tokenizer.unk_token]
          SCREAMING_SNAKE_CASE_     =	[14, 15, 10, 9, 3, 2, 15, 19]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(_A     )      ,			_A     )



       def   _UpperCamelCase     (				self     )							->							Optional[Any]:
          if not self.test_rust_tokenizer:
             return

          SCREAMING_SNAKE_CASE_     =	self.get_tokenizer()
          SCREAMING_SNAKE_CASE_     =	self.get_rust_tokenizer(add_prefix_space=_A     )

          SCREAMING_SNAKE_CASE_     =	"""lower newer"""

          # Testing tokenization
          SCREAMING_SNAKE_CASE_     =	tokenizer.tokenize(_A      ,			add_prefix_space=_A     )
          SCREAMING_SNAKE_CASE_     =	rust_tokenizer.tokenize(_A     )
          self.assertListEqual(_A      ,			_A     )

          # Testing conversion to ids without special tokens
          SCREAMING_SNAKE_CASE_     =	tokenizer.encode(_A      ,			add_special_tokens=_A      ,			add_prefix_space=_A     )
          SCREAMING_SNAKE_CASE_     =	rust_tokenizer.encode(_A      ,			add_special_tokens=_A     )
          self.assertListEqual(_A      ,			_A     )

          # Testing conversion to ids with special tokens
          SCREAMING_SNAKE_CASE_     =	self.get_rust_tokenizer(add_prefix_space=_A     )
          SCREAMING_SNAKE_CASE_     =	tokenizer.encode(_A      ,			add_prefix_space=_A     )
          SCREAMING_SNAKE_CASE_     =	rust_tokenizer.encode(_A     )
          self.assertListEqual(_A      ,			_A     )

          # Testing the unknown token
          SCREAMING_SNAKE_CASE_     =	tokens + [rust_tokenizer.unk_token]
          SCREAMING_SNAKE_CASE_     =	[14, 15, 10, 9, 3, 2, 15, 19]
          self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(_A     )      ,			_A     )



       def   _UpperCamelCase     (				self      ,			*_A      ,			**_A     )							->							Optional[Any]:
          # It's very difficult to mix/test pretokenization with byte-level
          # And get both GPT2 and Roberta to work at the same time (mostly an issue of adding a space before the string)
          pass



       def   _UpperCamelCase     (				self      ,			_A=15     )							->							Tuple:
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
             with self.subTest(F'''{tokenizer.__class__.__name__} ({pretrained_name})'''     ):
                SCREAMING_SNAKE_CASE_     =	self.rust_tokenizer_class.from_pretrained(_A      ,			**_A     )

                # Simple input
                SCREAMING_SNAKE_CASE_     =	"""This is a simple input"""
                SCREAMING_SNAKE_CASE_     =	["""This is a simple input 1""", """This is a simple input 2"""]
                SCREAMING_SNAKE_CASE_     =	("""This is a simple input""", """This is a pair""")
                SCREAMING_SNAKE_CASE_     =	[
                    ("""This is a simple input 1""", """This is a simple input 2"""),
                    ("""This is a simple pair 1""", """This is a simple pair 2"""),
                ]

                # Simple input tests
                self.assertRaises(_A      ,			tokenizer_r.encode      ,			_A      ,			max_length=_A      ,			padding='''max_length'''     )

                # Simple input
                self.assertRaises(_A      ,			tokenizer_r.encode_plus      ,			_A      ,			max_length=_A      ,			padding='''max_length'''     )

                # Simple input
                self.assertRaises(
                    _A      ,			tokenizer_r.batch_encode_plus      ,			_A      ,			max_length=_A      ,			padding='''max_length'''      ,			)

                # Pair input
                self.assertRaises(_A      ,			tokenizer_r.encode      ,			_A      ,			max_length=_A      ,			padding='''max_length'''     )

                # Pair input
                self.assertRaises(_A      ,			tokenizer_r.encode_plus      ,			_A      ,			max_length=_A      ,			padding='''max_length'''     )

                # Pair input
                self.assertRaises(
                    _A      ,			tokenizer_r.batch_encode_plus      ,			_A      ,			max_length=_A      ,			padding='''max_length'''      ,			)



       def   _UpperCamelCase     (				self     )							->							Any:
          SCREAMING_SNAKE_CASE_     =	GPTaTokenizer.from_pretrained(self.tmpdirname      ,			pad_token='''<pad>'''     )

          # Simple input
          SCREAMING_SNAKE_CASE_     =	"""This is a simple input"""
          SCREAMING_SNAKE_CASE_     =	["""This is a simple input looooooooong""", """This is a simple input"""]
          SCREAMING_SNAKE_CASE_     =	("""This is a simple input""", """This is a pair""")
          SCREAMING_SNAKE_CASE_     =	[
              ("""This is a simple input loooooong""", """This is a simple input"""),
              ("""This is a simple pair loooooong""", """This is a simple pair"""),
          ]

          SCREAMING_SNAKE_CASE_     =	tokenizer.pad_token_id

          SCREAMING_SNAKE_CASE_     =	tokenizer(_A      ,			padding='''max_length'''      ,			max_length=30      ,			return_tensors='''np'''     )
          SCREAMING_SNAKE_CASE_     =	tokenizer(_A      ,			padding=_A      ,			truncate=_A      ,			return_tensors='''np'''     )
          SCREAMING_SNAKE_CASE_     =	tokenizer(*_A      ,			padding='''max_length'''      ,			max_length=60      ,			return_tensors='''np'''     )
          SCREAMING_SNAKE_CASE_     =	tokenizer(_A      ,			padding=_A      ,			truncate=_A      ,			return_tensors='''np'''     )

          # s
          # test single string max_length padding
          self.assertEqual(out_s['''input_ids'''].shape[-1]      ,			30     )
          self.assertTrue(pad_token_id in out_s['''input_ids''']     )
          self.assertTrue(0 in out_s['''attention_mask''']     )

          # s2
          # test automatic padding
          self.assertEqual(out_sa['''input_ids'''].shape[-1]      ,			33     )
          # long slice doesn't have padding
          self.assertFalse(pad_token_id in out_sa['''input_ids'''][0]     )
          self.assertFalse(0 in out_sa['''attention_mask'''][0]     )
          # short slice does have padding
          self.assertTrue(pad_token_id in out_sa['''input_ids'''][1]     )
          self.assertTrue(0 in out_sa['''attention_mask'''][1]     )

          # p
          # test single pair max_length padding
          self.assertEqual(out_p['''input_ids'''].shape[-1]      ,			60     )
          self.assertTrue(pad_token_id in out_p['''input_ids''']     )
          self.assertTrue(0 in out_p['''attention_mask''']     )

          # p2
          # test automatic padding pair
          self.assertEqual(out_pa['''input_ids'''].shape[-1]      ,			52     )
          # long slice pair doesn't have padding
          self.assertFalse(pad_token_id in out_pa['''input_ids'''][0]     )
          self.assertFalse(0 in out_pa['''attention_mask'''][0]     )
          # short slice pair does have padding
          self.assertTrue(pad_token_id in out_pa['''input_ids'''][1]     )
          self.assertTrue(0 in out_pa['''attention_mask'''][1]     )



       def   _UpperCamelCase     (				self     )							->							Tuple:
          SCREAMING_SNAKE_CASE_     =	"""$$$"""
          SCREAMING_SNAKE_CASE_     =	GPTaTokenizer.from_pretrained(self.tmpdirname      ,			bos_token=_A      ,			add_bos_token=_A     )

          SCREAMING_SNAKE_CASE_     =	"""This is a simple input"""
          SCREAMING_SNAKE_CASE_     =	["""This is a simple input 1""", """This is a simple input 2"""]

          SCREAMING_SNAKE_CASE_     =	tokenizer.bos_token_id

          SCREAMING_SNAKE_CASE_     =	tokenizer(_A     )
          SCREAMING_SNAKE_CASE_     =	tokenizer(_A     )

          self.assertEqual(out_s.input_ids[0]      ,			_A     )
          self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids     )     )

          SCREAMING_SNAKE_CASE_     =	tokenizer.decode(out_s.input_ids     )
          SCREAMING_SNAKE_CASE_     =	tokenizer.batch_decode(out_sa.input_ids     )

          self.assertEqual(decode_s.split()[0]      ,			_A     )
          self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa     )     )



       def   _UpperCamelCase     (				self     )							->							Union[str, Any]:
          pass




       def   _UpperCamelCase     (				self     )							->							Optional[Any]:
          # TODO: change to self.get_tokenizers() when the fast version is implemented
          SCREAMING_SNAKE_CASE_     =	[self.get_tokenizer(do_lower_case=_A      ,			add_bos_token=_A     )]
          for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''     ):
                SCREAMING_SNAKE_CASE_     =	"""Encode this."""
                SCREAMING_SNAKE_CASE_     =	"""This one too please."""
                SCREAMING_SNAKE_CASE_     =	tokenizer.encode(_A      ,			add_special_tokens=_A     )
                encoded_sequence += tokenizer.encode(_A      ,			add_special_tokens=_A     )
                SCREAMING_SNAKE_CASE_     =	tokenizer.encode_plus(
                    _A      ,			_A      ,			add_special_tokens=_A      ,			return_special_tokens_mask=_A      ,			)
                SCREAMING_SNAKE_CASE_     =	encoded_sequence_dict["""input_ids"""]
                SCREAMING_SNAKE_CASE_     =	encoded_sequence_dict["""special_tokens_mask"""]
                self.assertEqual(len(_A     )      ,			len(_A     )     )

                SCREAMING_SNAKE_CASE_     =	[
                    (x if not special_tokens_mask[i] else None) for i, x in enumerate(_A     )
                ]
                SCREAMING_SNAKE_CASE_     =	[x for x in filtered_sequence if x is not None]
                self.assertEqual(_A      ,			_A     )







@require_tokenizers
class 							UpperCamelCase__						(     unittest.TestCase     ):






       """simple docstring"""


       def   _UpperCamelCase     (				self     )							->							Tuple:
          # More context:
          # https://huggingface.co/wjmcat/opt-350m-paddle/discussions/1
          # https://huggingface.slack.com/archives/C01N44FJDHT/p1653511495183519
          # https://github.com/huggingface/transformers/pull/17088#discussion_r871246439

          SCREAMING_SNAKE_CASE_     =	AutoTokenizer.from_pretrained('''facebook/opt-350m'''      ,			from_slow=_A     )
          SCREAMING_SNAKE_CASE_     =	"""A photo of a cat"""

          SCREAMING_SNAKE_CASE_     =	tokenizer.encode(
              _A      ,			)
          self.assertEqual(_A      ,			[2, 250, 1345, 9, 10, 4758]     )
          tokenizer.save_pretrained('''test_opt'''     )

          SCREAMING_SNAKE_CASE_     =	AutoTokenizer.from_pretrained('''./test_opt'''     )
          SCREAMING_SNAKE_CASE_     =	tokenizer.encode(
              _A      ,			)
          self.assertEqual(_A      ,			[2, 250, 1345, 9, 10, 4758]     )



       def   _UpperCamelCase     (				self     )							->							Tuple:
          SCREAMING_SNAKE_CASE_     =	AutoTokenizer.from_pretrained('''facebook/opt-350m'''      ,			use_slow=_A     )
          SCREAMING_SNAKE_CASE_     =	"""A photo of a cat"""

          SCREAMING_SNAKE_CASE_     =	tokenizer.encode(
              _A      ,			)
          # Same as above
          self.assertEqual(_A      ,			[2, 250, 1345, 9, 10, 4758]     )




       @unittest.skip('''This test is failing because of a bug in the fast tokenizer'''     )
       def   _UpperCamelCase     (				self     )							->							str:
          SCREAMING_SNAKE_CASE_     =	AutoTokenizer.from_pretrained('''facebook/opt-350m'''      ,			from_slow=_A     )

          SCREAMING_SNAKE_CASE_     =	"""bos"""
          SCREAMING_SNAKE_CASE_     =	tokenizer.get_vocab()["""bos"""]

          SCREAMING_SNAKE_CASE_     =	"""A photo of a cat"""
          SCREAMING_SNAKE_CASE_     =	tokenizer.encode(
              _A      ,			)
          # We changed the bos token
          self.assertEqual(_A      ,			[31957, 250, 1345, 9, 10, 4758]     )
          tokenizer.save_pretrained('''./tok'''     )
          SCREAMING_SNAKE_CASE_     =	AutoTokenizer.from_pretrained('''./tok'''     )
          self.assertTrue(tokenizer.is_fast     )
          SCREAMING_SNAKE_CASE_     =	tokenizer.encode(
              _A      ,			)
          self.assertEqual(_A      ,			[31957, 250, 1345, 9, 10, 4758]     )









def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    Union[str, Any]:
  __snake_case:						List[Any]   =						[]
  __snake_case:						List[str]   =						[]
  __snake_case:						List[str]   =						{
      """^""": 3,
      """*""": 2,
      """/""": 2,
      """%""": 2,
      """+""": 1,
      """-""": 1,
  }  # Priority of each operator
  __snake_case:						Union[str, Any]   =						len(SCREAMING_SNAKE_CASE__) if (len(SCREAMING_SNAKE_CASE__) > 7) else 7

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

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

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

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

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







def 			A__							(    SCREAMING_SNAKE_CASE__)   ->    Tuple:
  __snake_case:						Optional[int]   =						list(infix[::-1])  # reverse the infix equation

  for i in range(len(SCREAMING_SNAKE_CASE__)):
    if infix[i] == "(":
      __snake_case:						int   =						""")"""  # change "(" to ")"
    elif infix[i] == ")":
      __snake_case:						Dict   =						"""("""  # change ")" to "("

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


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






