



"""simple docstring"""
import os
import re
import warnings
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
       from .tokenization_ta import TaTokenizer
else:
       UpperCAmelCase						:		int			= None


UpperCAmelCase						:		List[Any]			= logging.get_logger(__name__)

UpperCAmelCase						:		Any			= {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

UpperCAmelCase						:		Tuple			= {
    "vocab_file": {
        "t5-small": "https://huggingface.co/t5-small/resolve/main/spiece.model",
        "t5-base": "https://huggingface.co/t5-base/resolve/main/spiece.model",
        "t5-large": "https://huggingface.co/t5-large/resolve/main/spiece.model",
        "t5-3b": "https://huggingface.co/t5-3b/resolve/main/spiece.model",
        "t5-11b": "https://huggingface.co/t5-11b/resolve/main/spiece.model",
    },
    "tokenizer_file": {
        "t5-small": "https://huggingface.co/t5-small/resolve/main/tokenizer.json",
        "t5-base": "https://huggingface.co/t5-base/resolve/main/tokenizer.json",
        "t5-large": "https://huggingface.co/t5-large/resolve/main/tokenizer.json",
        "t5-3b": "https://huggingface.co/t5-3b/resolve/main/tokenizer.json",
        "t5-11b": "https://huggingface.co/t5-11b/resolve/main/tokenizer.json",
    },
}


# TODO(PVP) - this should be removed in Transformers v5
UpperCAmelCase						:		Dict			= {
    "t5-small": 512,
    "t5-base": 512,
    "t5-large": 512,
    "t5-3b": 512,
    "t5-11b": 512,
}


class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase   ):
    lowercase__      =   VOCAB_FILES_NAMES
    lowercase__      =   PRETRAINED_VOCAB_FILES_MAP
    lowercase__      =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowercase__      =   ["input_ids", "attention_mask"]
    lowercase__      =   TaTokenizer

    lowercase__      =   []

    def __init__(				self			:				str ,  lowerCAmelCase_			:				Any=None ,  lowerCAmelCase_			:				List[Any]=None ,  lowerCAmelCase_			:				str="</s>" ,  lowerCAmelCase_			:				List[str]="<unk>" ,  lowerCAmelCase_			:				int="<pad>" ,  lowerCAmelCase_			:				Optional[int]=1_0_0 ,  lowerCAmelCase_			:				Any=None ,  **lowerCAmelCase_			:				Any ,  ):







      """simple docstring"""







      if extra_ids > 0 and additional_special_tokens is None:
        lowercase_								= [F'''<extra_id_{i}>''' for i in range(lowerCAmelCase_)]
      elif extra_ids > 0 and additional_special_tokens is not None:
        # Check that we have the right number of extra special tokens
        lowercase_								= len(set(filter(lambda lowerCAmelCase_: bool("""extra_id_""" in str(lowerCAmelCase_)) ,  lowerCAmelCase_)))
        if extra_tokens != extra_ids:
          raise ValueError(
              F'''Both extra_ids ({extra_ids}) and additional_special_tokens ({additional_special_tokens}) are'''
              """ provided to T5Tokenizer. In this case the additional_special_tokens must include the extra_ids"""
              """ tokens""")

      super().__init__(
          lowerCAmelCase_ ,  tokenizer_file=lowerCAmelCase_ ,  eos_token=lowerCAmelCase_ ,  unk_token=lowerCAmelCase_ ,  pad_token=lowerCAmelCase_ ,  extra_ids=lowerCAmelCase_ ,  additional_special_tokens=lowerCAmelCase_ ,  **lowerCAmelCase_ ,  )

      lowercase_								= vocab_file
      lowercase_								= False if not self.vocab_file else True
      lowercase_								= extra_ids

    @staticmethod
    def 					_UpperCAmelCase	(				lowerCAmelCase_			:				Dict ,  lowerCAmelCase_			:				Optional[int] ,  lowerCAmelCase_			:				List[str]):







      """simple docstring"""







      if pretrained_model_name_or_path in TaTokenizerFast.max_model_input_sizes:
        lowercase_								= TaTokenizerFast.max_model_input_sizes[pretrained_model_name_or_path]
        if init_max_model_length is not None and init_max_model_length != max_model_length:
          return init_max_model_length
        elif init_max_model_length is None:
          warnings.warn(
              """This tokenizer was incorrectly instantiated with a model max length of"""
              F''' {deprecated_max_model_length} which will be corrected in Transformers v5.\nFor now, this'''
              """ behavior is kept to avoid breaking backwards compatibility when padding/encoding with"""
              """ `truncation is True`.\n- Be aware that you SHOULD NOT rely on"""
              F''' {pretrained_model_name_or_path} automatically truncating your input to'''
              F''' {deprecated_max_model_length} when padding/encoding.\n- If you want to encode/pad to sequences'''
              F''' longer than {deprecated_max_model_length} you can either instantiate this tokenizer with'''
              """ `model_max_length` or pass `max_length` when encoding/padding.\n- To avoid this warning, please"""
              """ instantiate this tokenizer with `model_max_length` set to your preferred value.""" ,  lowerCAmelCase_ ,  )

      return max_model_length

    def 					_UpperCAmelCase	(				self			:				Optional[int] ,  lowerCAmelCase_			:				str ,  lowerCAmelCase_			:				Optional[str] = None):







      """simple docstring"""







      if not self.can_save_slow_tokenizer:
        raise ValueError(
            """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
            """tokenizer.""")

      if not os.path.isdir(lowerCAmelCase_):
        logger.error(F'''Vocabulary path ({save_directory}) should be a directory''')
        return
      lowercase_								= os.path.join(
          lowerCAmelCase_ ,  (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""])

      if os.path.abspath(self.vocab_file) != os.path.abspath(lowerCAmelCase_):
        copyfile(self.vocab_file ,  lowerCAmelCase_)
        logger.info(F'''Copy vocab file to {out_vocab_file}''')

      return (out_vocab_file,)

    def 					_UpperCAmelCase	(				self			:				int ,  lowerCAmelCase_			:				List[int] ,  lowerCAmelCase_			:				Optional[List[int]] = None):







      """simple docstring"""







      lowercase_								= token_ids_a + [self.eos_token_id]
      if token_ids_a is None:
        return self.prefix_tokens + token_ids_a
      else:
        lowercase_								= token_ids_a + [self.eos_token_id]
        return self.prefix_tokens + token_ids_a + token_ids_a

    def 					_UpperCAmelCase	(				self			:				Tuple ,  lowerCAmelCase_			:				List[int] ,  lowerCAmelCase_			:				Optional[List[int]] = None):







      """simple docstring"""







      lowercase_								= [self.eos_token_id]

      if token_ids_a is None:
        return len(token_ids_a + eos) * [0]
      return len(token_ids_a + eos + token_ids_a + eos) * [0]

    def 					_UpperCAmelCase	(				self			:				Any):







      """simple docstring"""







      return list(
          set(filter(lambda lowerCAmelCase_: bool(re.search(r"""<extra_id_\d+>""" ,  lowerCAmelCase_)) is not None ,  self.additional_special_tokens)))




    def 					_UpperCAmelCase	(				self			:				Tuple):







      """simple docstring"""







      return [self.convert_tokens_to_ids(lowerCAmelCase_) for token in self.get_sentinel_tokens()]






"""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


UpperCAmelCase						:		str			= get_tests_dir("fixtures/test_sentencepiece.model")


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

UpperCAmelCase						:		int			= 5_0003
UpperCAmelCase						:		Optional[Any]			= 5_0002


@require_sentencepiece
@require_tokenizers
class    SCREAMING_SNAKE_CASE__ (							__UpperCAmelCase      ,  unittest.TestCase   ):
    lowercase__      =   PLBartTokenizer
    lowercase__      =   None
    lowercase__      =   False

    def 					_UpperCAmelCase	(				self			:				Dict):







      """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 					_UpperCAmelCase	(				self			:				List[str]):







      """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 [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]] ,  )

      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, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 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 					_UpperCAmelCase	(				self			:				Optional[Any]):







      """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 [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]] ,  )

      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, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 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    SCREAMING_SNAKE_CASE__ (							unittest.TestCase   ):
    lowercase__      =   "uclanlp/plbart-python-en_XX"
    lowercase__      =   [
        "def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])",
        "def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])",
    ]
    lowercase__      =   [
        "Returns the maximum value of a b c.",
        "Sums the values of a b c.",
    ]
    lowercase__      =   [
        134,
        5452,
        33460,
        33441,
        33463,
        33465,
        33463,
        33449,
        988,
        20,
        33456,
        19,
        33456,
        771,
        39,
        4258,
        889,
        3318,
        33441,
        33463,
        33465,
        33463,
        33449,
        2471,
        2,
        PYTHON_CODE,
    ]

    @classmethod
    def 					_UpperCAmelCase	(				cls			:				List[Any]):







      """simple docstring"""







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

    def 					_UpperCAmelCase	(				self			:				int):







      """simple docstring"""







      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__java__"""] ,  5_0_0_0_1)
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__python__"""] ,  5_0_0_0_2)
      self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__en_XX__"""] ,  5_0_0_0_3)

    def 					_UpperCAmelCase	(				self			:				Optional[Any]):







      """simple docstring"""







      lowercase_								= self.tokenizer.batch_encode_plus(self.src_text).input_ids[0]
      self.assertListEqual(self.expected_src_tokens ,  lowerCAmelCase_)

    def 					_UpperCAmelCase	(				self			:				List[str]):







      """simple docstring"""







      self.assertIn(lowerCAmelCase_ ,  self.tokenizer.all_special_ids)
      lowercase_								= [EN_CODE, 9_0_3_7, 3_3_4_4_2, 5_7, 7_5_2, 1_5_3, 1_4, 5_6, 1_8, 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 					_UpperCAmelCase	(				self			:				str):







      """simple docstring"""







      lowercase_								= ["""def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""" * 2_0]
      self.assertIsInstance(src_text[0] ,  lowerCAmelCase_)
      lowercase_								= 1_0
      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 					_UpperCAmelCase	(				self			:				Optional[Any]):







      """simple docstring"""







      self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """__java__"""]) ,  [5_0_0_0_4, 5_0_0_0_1])

    def 					_UpperCAmelCase	(				self			:				Union[str, Any]):







      """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 					_UpperCAmelCase	(				self			:				Dict):







      """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 					_UpperCAmelCase	(				self			:				int):







      """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, 2_6) ,  batch.input_ids.shape)
      self.assertEqual((2, 2_6) ,  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 					_UpperCAmelCase	(				self			:				Dict):







      """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=1_0 ,  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] ,  1_0)




    @require_torch
    def 					_UpperCAmelCase	(				self			:				Dict):







      """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""": [[1_5_0, 2_4_2, 2, 5_0_0_0_3]],
              """attention_mask""": [[1, 1, 1, 1]],
              # java
              """forced_bos_token_id""": 5_0_0_0_1,
          } ,  )

