






'''simple docstring'''

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        a_		(    lowerCamelCase			, unittest.TestCase       ):
  lowercase  	=   GPTaTokenizer
  lowercase  	=   GPTaTokenizerFast
  lowercase  	=   True
  lowercase  	=   {"""add_prefix_space""": True}
  lowercase  	=   False

  def 						A__		(   self   )						->   str:



        """simple docstring"""






        super().setUp()

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

        UpperCamelCase       						=      os.path.join(self.tmpdirname    ,	VOCAB_FILES_NAMES["""vocab_file"""]   )
        UpperCamelCase       						=      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(_SCREAMING_SNAKE_CASE   ) + """\n"""   )
        with open(self.merges_file    ,	"""w"""    ,	encoding="""utf-8"""   ) as fp:
              fp.write("""\n""".join(_SCREAMING_SNAKE_CASE   )   )

  def 						A__		(   self    ,	**_SCREAMING_SNAKE_CASE   )						->   List[Any]:



        """simple docstring"""






        kwargs.update(self.special_tokens_map   )
        return GPTaTokenizer.from_pretrained(self.tmpdirname    ,	**_SCREAMING_SNAKE_CASE   )

  def 						A__		(   self    ,	**_SCREAMING_SNAKE_CASE   )						->   str:



        """simple docstring"""






        kwargs.update(self.special_tokens_map   )
        return GPTaTokenizerFast.from_pretrained(self.tmpdirname    ,	**_SCREAMING_SNAKE_CASE   )

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE   )						->   Dict:



        """simple docstring"""






        UpperCamelCase       						=      """lower newer"""
        UpperCamelCase       						=      """lower newer"""
        return input_text, output_text

  def 						A__		(   self   )						->   List[Any]:



        """simple docstring"""






        UpperCamelCase       						=      GPTaTokenizer(self.vocab_file    ,	self.merges_file    ,	**self.special_tokens_map   )
        UpperCamelCase       						=      """lower newer"""
        UpperCamelCase       						=      ["""\u0120low""", """er""", """\u0120""", """n""", """e""", """w""", """er"""]
        UpperCamelCase       						=      tokenizer.tokenize(_SCREAMING_SNAKE_CASE    ,	add_prefix_space=_SCREAMING_SNAKE_CASE   )
        self.assertListEqual(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   )

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

  def 						A__		(   self   )						->   Tuple:



        """simple docstring"""






        if not self.test_rust_tokenizer:
              return

        UpperCamelCase       						=      self.get_tokenizer()
        UpperCamelCase       						=      self.get_rust_tokenizer(add_prefix_space=_SCREAMING_SNAKE_CASE   )

        UpperCamelCase       						=      """lower newer"""

        # Testing tokenization
        UpperCamelCase       						=      tokenizer.tokenize(_SCREAMING_SNAKE_CASE    ,	add_prefix_space=_SCREAMING_SNAKE_CASE   )
        UpperCamelCase       						=      rust_tokenizer.tokenize(_SCREAMING_SNAKE_CASE   )
        self.assertListEqual(_SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE   )

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

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

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

  def 						A__		(   self    ,	*_SCREAMING_SNAKE_CASE    ,	**_SCREAMING_SNAKE_CASE   )						->   int:



        """simple docstring"""






        pass

  def 						A__		(   self    ,	_SCREAMING_SNAKE_CASE=15   )						->   str:



        """simple docstring"""






        for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(F"{tokenizer.__class__.__name__} ({pretrained_name})"   ):
                    UpperCamelCase       						=      self.rust_tokenizer_class.from_pretrained(_SCREAMING_SNAKE_CASE    ,	**_SCREAMING_SNAKE_CASE   )

                    # Simple input
                    UpperCamelCase       						=      """This is a simple input"""
                    UpperCamelCase       						=      ["""This is a simple input 1""", """This is a simple input 2"""]
                    UpperCamelCase       						=      ("""This is a simple input""", """This is a pair""")
                    UpperCamelCase       						=      [
                        ("""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(_SCREAMING_SNAKE_CASE    ,	tokenizer_r.encode    ,	_SCREAMING_SNAKE_CASE    ,	max_length=_SCREAMING_SNAKE_CASE    ,	padding="""max_length"""   )

                    # Simple input
                    self.assertRaises(_SCREAMING_SNAKE_CASE    ,	tokenizer_r.encode_plus    ,	_SCREAMING_SNAKE_CASE    ,	max_length=_SCREAMING_SNAKE_CASE    ,	padding="""max_length"""   )

                    # Simple input
                    self.assertRaises(
                        _SCREAMING_SNAKE_CASE    ,	tokenizer_r.batch_encode_plus    ,	_SCREAMING_SNAKE_CASE    ,	max_length=_SCREAMING_SNAKE_CASE    ,	padding="""max_length"""    ,	)

                    # Pair input
                    self.assertRaises(_SCREAMING_SNAKE_CASE    ,	tokenizer_r.encode    ,	_SCREAMING_SNAKE_CASE    ,	max_length=_SCREAMING_SNAKE_CASE    ,	padding="""max_length"""   )

                    # Pair input
                    self.assertRaises(_SCREAMING_SNAKE_CASE    ,	tokenizer_r.encode_plus    ,	_SCREAMING_SNAKE_CASE    ,	max_length=_SCREAMING_SNAKE_CASE    ,	padding="""max_length"""   )

                    # Pair input
                    self.assertRaises(
                        _SCREAMING_SNAKE_CASE    ,	tokenizer_r.batch_encode_plus    ,	_SCREAMING_SNAKE_CASE    ,	max_length=_SCREAMING_SNAKE_CASE    ,	padding="""max_length"""    ,	)

  def 						A__		(   self   )						->   Tuple:



        """simple docstring"""






        UpperCamelCase       						=      GPTaTokenizer.from_pretrained(self.tmpdirname    ,	pad_token="""<pad>"""   )

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

        UpperCamelCase       						=      tokenizer.pad_token_id

        UpperCamelCase       						=      tokenizer(_SCREAMING_SNAKE_CASE    ,	padding="""max_length"""    ,	max_length=30    ,	return_tensors="""np"""   )
        UpperCamelCase       						=      tokenizer(_SCREAMING_SNAKE_CASE    ,	padding=_SCREAMING_SNAKE_CASE    ,	truncate=_SCREAMING_SNAKE_CASE    ,	return_tensors="""np"""   )
        UpperCamelCase       						=      tokenizer(*_SCREAMING_SNAKE_CASE    ,	padding="""max_length"""    ,	max_length=60    ,	return_tensors="""np"""   )
        UpperCamelCase       						=      tokenizer(_SCREAMING_SNAKE_CASE    ,	padding=_SCREAMING_SNAKE_CASE    ,	truncate=_SCREAMING_SNAKE_CASE    ,	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 						A__		(   self   )						->   Tuple:



        """simple docstring"""






        UpperCamelCase       						=      """$$$"""
        UpperCamelCase       						=      GPTaTokenizer.from_pretrained(self.tmpdirname    ,	bos_token=_SCREAMING_SNAKE_CASE    ,	add_bos_token=_SCREAMING_SNAKE_CASE   )

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

        UpperCamelCase       						=      tokenizer.bos_token_id

        UpperCamelCase       						=      tokenizer(_SCREAMING_SNAKE_CASE   )
        UpperCamelCase       						=      tokenizer(_SCREAMING_SNAKE_CASE   )

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

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

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

  def 						A__		(   self   )						->   Optional[Any]:



        """simple docstring"""






        pass


  def 						A__		(   self   )						->   Any:



        """simple docstring"""






        UpperCamelCase       						=      [self.get_tokenizer(do_lower_case=_SCREAMING_SNAKE_CASE    ,	add_bos_token=_SCREAMING_SNAKE_CASE   )]
        for tokenizer in tokenizers:
              with self.subTest(F"{tokenizer.__class__.__name__}"   ):
                    UpperCamelCase       						=      """Encode this."""
                    UpperCamelCase       						=      """This one too please."""
                    UpperCamelCase       						=      tokenizer.encode(_SCREAMING_SNAKE_CASE    ,	add_special_tokens=_SCREAMING_SNAKE_CASE   )
                    encoded_sequence += tokenizer.encode(_SCREAMING_SNAKE_CASE    ,	add_special_tokens=_SCREAMING_SNAKE_CASE   )
                    UpperCamelCase       						=      tokenizer.encode_plus(
                        _SCREAMING_SNAKE_CASE    ,	_SCREAMING_SNAKE_CASE    ,	add_special_tokens=_SCREAMING_SNAKE_CASE    ,	return_special_tokens_mask=_SCREAMING_SNAKE_CASE    ,	)
                    UpperCamelCase       						=      encoded_sequence_dict["""input_ids"""]
                    UpperCamelCase       						=      encoded_sequence_dict["""special_tokens_mask"""]
                    self.assertEqual(len(_SCREAMING_SNAKE_CASE   )    ,	len(_SCREAMING_SNAKE_CASE   )   )

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






@require_tokenizers
class        a_		(    unittest.TestCase       ):

  def 						A__		(   self   )						->   Optional[Any]:



        """simple docstring"""






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

        UpperCamelCase       						=      tokenizer.encode(
            _SCREAMING_SNAKE_CASE    ,	)
        self.assertEqual(_SCREAMING_SNAKE_CASE    ,	[2, 250, 1345, 9, 10, 4758]   )
        tokenizer.save_pretrained("""test_opt"""   )

        UpperCamelCase       						=      AutoTokenizer.from_pretrained("""./test_opt"""   )
        UpperCamelCase       						=      tokenizer.encode(
            _SCREAMING_SNAKE_CASE    ,	)
        self.assertEqual(_SCREAMING_SNAKE_CASE    ,	[2, 250, 1345, 9, 10, 4758]   )

  def 						A__		(   self   )						->   Optional[Any]:



        """simple docstring"""






        UpperCamelCase       						=      AutoTokenizer.from_pretrained("""facebook/opt-350m"""    ,	use_slow=_SCREAMING_SNAKE_CASE   )
        UpperCamelCase       						=      """A photo of a cat"""

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


  @unittest.skip("""This test is failing because of a bug in the fast tokenizer"""   )
  def 						A__		(   self   )						->   Union[str, Any]:



        """simple docstring"""






        UpperCamelCase       						=      AutoTokenizer.from_pretrained("""facebook/opt-350m"""    ,	from_slow=_SCREAMING_SNAKE_CASE   )

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

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








'''simple docstring'''

import fire

from utils import calculate_rouge, save_json







def 					lowercase__				(   __UpperCamelCase	,		__UpperCamelCase	,		__UpperCamelCase=None	,		**__UpperCamelCase					)->				int:
      UpperCamelCase       						=      [x.strip() for x in open(__UpperCamelCase					).readlines()]
      UpperCamelCase       						=      [x.strip() for x in open(__UpperCamelCase					).readlines()][: len(__UpperCamelCase					)]
      UpperCamelCase       						=      calculate_rouge(__UpperCamelCase	,		__UpperCamelCase	,		**__UpperCamelCase					)
      if save_path is not None:
            save_json(__UpperCamelCase	,		__UpperCamelCase	,		indent=__UpperCamelCase					)
      return metrics  # these print nicely


if __name__ == "__main__":
     fire.Fire(calculate_rouge_path)
