"""simple docstring"""






import tempfile
import unittest

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

from ...test_tokenization_common import TokenizerTesterMixin


__lowerCAmelCase    :       Union[str, Any]					     =get_tests_dir("""fixtures/test_sentencepiece.model""")


if is_torch_available():
       from transformers.models.plbart.modeling_plbart import shift_tokens_right

__lowerCAmelCase    :       List[str]					     =5_0_0_0_3
__lowerCAmelCase    :       Any					     =5_0_0_0_2





@require_sentencepiece
@require_tokenizers
class  _A						(       lowerCAmelCase  ,    unittest.TestCase	):
      snake_case__			:   Dict							  =	PLBartTokenizer
      snake_case__			:   int							  =	None
      snake_case__			:   Tuple							  =	False

      def 				A__       (						self						):







            """simple docstring"""



            super().setUp()

            # We have a SentencePiece fixture for testing
            lowercase														=	PLBartTokenizer(__lowerCAmelCase		,       language_codes="""base"""		,       keep_accents=__lowerCAmelCase						)
            tokenizer.save_pretrained(self.tmpdirname						)

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	PLBartTokenizer(__lowerCAmelCase		,       language_codes="""base"""		,       keep_accents=__lowerCAmelCase						)

            lowercase														=	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 [285, 46, 10, 170, 382]]		,       )

            lowercase														=	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""",
                    """.""",
                ]		,       )
            lowercase														=	tokenizer.convert_tokens_to_ids(__lowerCAmelCase						)
            self.assertListEqual(
                __lowerCAmelCase		,       [
                    value + tokenizer.fairseq_offset
                    for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
                ]		,       )

            lowercase														=	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>""",
                    """.""",
                ]		,       )

            lowercase														=	tokenizer.vocab_size
            lowercase														=	[tokenizer.convert_ids_to_tokens(__lowerCAmelCase						) for x in range(end - 4		,       __lowerCAmelCase						)]

            self.assertListEqual(__lowerCAmelCase		,       ["""__java__""", """__python__""", """__en_XX__""", """<mask>"""]						)

            lowercase														=	"""java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
            lowercase														=	tokenizer(__lowerCAmelCase						).input_ids
            self.assertEqual(
                tokenizer.decode(__lowerCAmelCase		,       skip_special_tokens=__lowerCAmelCase		,       clean_up_tokenization_spaces=__lowerCAmelCase						)		,       __lowerCAmelCase		,       )







      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	PLBartTokenizer(__lowerCAmelCase		,       language_codes="""multi"""		,       keep_accents=__lowerCAmelCase						)

            lowercase														=	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 [285, 46, 10, 170, 382]]		,       )

            lowercase														=	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""",
                    """.""",
                ]		,       )
            lowercase														=	tokenizer.convert_tokens_to_ids(__lowerCAmelCase						)
            self.assertListEqual(
                __lowerCAmelCase		,       [
                    value + tokenizer.fairseq_offset
                    for value in [8, 21, 84, 55, 24, 19, 7, 2, 602, 347, 347, 347, 3, 12, 66, 46, 72, 80, 6, 2, 4]
                ]		,       )

            lowercase														=	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>""",
                    """.""",
                ]		,       )
            lowercase														=	tokenizer.vocab_size
            lowercase														=	[tokenizer.convert_ids_to_tokens(__lowerCAmelCase						) for x in range(end - 7		,       __lowerCAmelCase						)]

            self.assertListEqual(
                __lowerCAmelCase		,       ["""__java__""", """__python__""", """__en_XX__""", """__javascript__""", """__php__""", """__ruby__""", """__go__"""]						)
            lowercase														=	"""java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
            lowercase														=	tokenizer(__lowerCAmelCase						).input_ids
            self.assertEqual(
                tokenizer.decode(__lowerCAmelCase		,       skip_special_tokens=__lowerCAmelCase		,       clean_up_tokenization_spaces=__lowerCAmelCase						)		,       __lowerCAmelCase		,       )






@require_torch
@require_sentencepiece
@require_tokenizers
class  _A						(       unittest.TestCase	):
      snake_case__			:   Union[str, Any]							  =	'uclanlp/plbart-python-en_XX'
      snake_case__			:   Dict							  =	[
          'def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])',
          'def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])',
      ]
      snake_case__			:   Union[str, Any]							  =	[
          'Returns the maximum value of a b c.',
          'Sums the values of a b c.',
      ]
      snake_case__			:   str							  =	[
          134,
          5452,
          3_3460,
          3_3441,
          3_3463,
          3_3465,
          3_3463,
          3_3449,
          988,
          20,
          3_3456,
          19,
          3_3456,
          771,
          39,
          4258,
          889,
          3318,
          3_3441,
          3_3463,
          3_3465,
          3_3463,
          3_3449,
          2471,
          2,
          PYTHON_CODE,
      ]

      @classmethod
      def 				A__       (						cls						):







            """simple docstring"""



            lowercase														=	PLBartTokenizer.from_pretrained(
                cls.checkpoint_name		,       language_codes="""base"""		,       src_lang="""python"""		,       tgt_lang="""en_XX"""						)
            lowercase														=	1
            return cls

      def 				A__       (						self						):







            """simple docstring"""



            self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__java__"""]		,       5_0001						)
            self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__python__"""]		,       5_0002						)
            self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__en_XX__"""]		,       5_0003						)

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
            self.assertListEqual(self.expected_src_tokens		,       __lowerCAmelCase						)

      def 				A__       (						self						):







            """simple docstring"""



            self.assertIn(__lowerCAmelCase		,       self.tokenizer.all_special_ids						)
            lowercase														=	[EN_CODE, 9037, 3_3442, 57, 752, 153, 14, 56, 18, 9, 2]
            lowercase														=	self.tokenizer.decode(__lowerCAmelCase		,       skip_special_tokens=__lowerCAmelCase						)
            lowercase														=	self.tokenizer.decode(generated_ids[1:]		,       skip_special_tokens=__lowerCAmelCase						)
            self.assertEqual(__lowerCAmelCase		,       __lowerCAmelCase						)
            self.assertNotIn(self.tokenizer.eos_token		,       __lowerCAmelCase						)

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	["""def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""" * 20]
            self.assertIsInstance(src_text[0]		,       __lowerCAmelCase						)
            lowercase														=	10
            lowercase														=	self.tokenizer(__lowerCAmelCase		,       max_length=__lowerCAmelCase		,       truncation=__lowerCAmelCase						).input_ids[0]
            self.assertEqual(ids[-2]		,       2						)
            self.assertEqual(ids[-1]		,       __lowerCAmelCase						)
            self.assertEqual(len(__lowerCAmelCase						)		,       __lowerCAmelCase						)

      def 				A__       (						self						):







            """simple docstring"""



            self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """__java__"""]						)		,       [5_0004, 5_0001]						)

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	tempfile.mkdtemp()
            lowercase														=	self.tokenizer.fairseq_tokens_to_ids
            self.tokenizer.save_pretrained(__lowerCAmelCase						)
            lowercase														=	PLBartTokenizer.from_pretrained(__lowerCAmelCase						)
            self.assertDictEqual(new_tok.fairseq_tokens_to_ids		,       __lowerCAmelCase						)

      @require_torch
      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.tokenizer(self.src_text		,       text_target=self.tgt_text		,       padding=__lowerCAmelCase		,       return_tensors="""pt"""						)
            lowercase														=	shift_tokens_right(batch["""labels"""]		,       self.tokenizer.pad_token_id						)

            # fairseq batch: https://gist.github.com/sshleifer/cba08bc2109361a74ac3760a7e30e4f4
            self.assertEqual(batch.input_ids[1][-2:].tolist()		,       [2, PYTHON_CODE]						)
            self.assertEqual(batch.decoder_input_ids[1][0]		,       __lowerCAmelCase						)
            self.assertEqual(batch.decoder_input_ids[1][-1]		,       2						)
            self.assertEqual(batch.labels[1][-2:].tolist()		,       [2, EN_CODE]						)

      @require_torch
      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.tokenizer(
                self.src_text		,       text_target=self.tgt_text		,       padding=__lowerCAmelCase		,       truncation=__lowerCAmelCase		,       max_length=len(self.expected_src_tokens						)		,       return_tensors="""pt"""		,       )
            lowercase														=	shift_tokens_right(batch["""labels"""]		,       self.tokenizer.pad_token_id						)

            self.assertIsInstance(__lowerCAmelCase		,       __lowerCAmelCase						)

            self.assertEqual((2, 26)		,       batch.input_ids.shape						)
            self.assertEqual((2, 26)		,       batch.attention_mask.shape						)
            lowercase														=	batch.input_ids.tolist()[0]
            self.assertListEqual(self.expected_src_tokens		,       __lowerCAmelCase						)
            self.assertEqual(2		,       batch.decoder_input_ids[0, -1]						)  # EOS
            # Test that special tokens are reset
            self.assertEqual(self.tokenizer.prefix_tokens		,       []						)
            self.assertEqual(self.tokenizer.suffix_tokens		,       [self.tokenizer.eos_token_id, PYTHON_CODE]						)

      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.tokenizer(self.src_text		,       padding=__lowerCAmelCase		,       truncation=__lowerCAmelCase		,       max_length=3		,       return_tensors="""pt"""						)
            lowercase														=	self.tokenizer(
                text_target=self.tgt_text		,       padding=__lowerCAmelCase		,       truncation=__lowerCAmelCase		,       max_length=10		,       return_tensors="""pt"""						)
            lowercase														=	targets["""input_ids"""]
            lowercase														=	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]		,       10						)







      @require_torch
      def 				A__       (						self						):







            """simple docstring"""



            lowercase														=	self.tokenizer._build_translation_inputs(
                """A test"""		,       return_tensors="""pt"""		,       src_lang="""en_XX"""		,       tgt_lang="""java"""						)

            self.assertEqual(
                nested_simplify(__lowerCAmelCase						)		,       {
                    # A, test, EOS, en_XX
                    """input_ids""": [[150, 242, 2, 5_0003]],
                    """attention_mask""": [[1, 1, 1, 1]],
                    # java
                    """forced_bos_token_id""": 5_0001,
                }		,       )




"""simple docstring"""






def 			UpperCAmelCase__       (				lowerCAmelCase__     :str					,		lowerCAmelCase__     :Optional[Any]		) ->    int:
      '''simple docstring'''


      lowercase														=	[0 for i in range(r + 1		)]
      # nc0 = 1
      lowercase														=	1
      for i in range(1					,		n + 1		):
            # to compute current row from previous row.
            lowercase														=	min(lowerCAmelCase__					,		lowerCAmelCase__		)
            while j > 0:
                  c[j] += c[j - 1]
                  j -= 1
      return c[r]






print(binomial_coefficient(n=1_0, r=5))



