

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


lowercase_   							=  get_tests_dir('fixtures/test_sentencepiece.model')


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

lowercase_   							=  5_0_0_0_3
lowercase_   							=  5_0_0_0_2





@require_sentencepiece
@require_tokenizers
class 					__lowerCAmelCase	(   SCREAMING_SNAKE_CASE     ,     unittest.TestCase				):
  _a		     =    PLBartTokenizer
  _a		     =    None
  _a		     =    False




  def     A__	(							self   )    ->					Optional[Any]:
        '''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   )    ->					Optional[Any]:
        '''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   )    ->					Dict:
        '''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 					__lowerCAmelCase	(   unittest.TestCase				):
  _a		     =    """uclanlp/plbart-python-en_XX"""
  _a		     =    [
      """def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])""",
      """def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""",
  ]
  _a		     =    [
      """Returns the maximum value of a b c.""",
      """Sums the values of a b c.""",
  ]
  _a		     =    [
      134,
      5_452,
      33_460,
      33_441,
      33_463,
      33_465,
      33_463,
      33_449,
      988,
      20,
      33_456,
      19,
      33_456,
      771,
      39,
      4_258,
      889,
      3_318,
      33_441,
      33_463,
      33_465,
      33_463,
      33_449,
      2_471,
      2,
      PYTHON_CODE,
  ]




  @classmethod
  def     A__	(							cls   )    ->					Tuple:
        '''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   )    ->					Optional[Any]:
        '''simple docstring'''






        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__java__']				,  50_001   )
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__python__']				,  50_002   )
        self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__en_XX__']				,  50_003   )




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






        _lowercase      			=self.tokenizer.batch_encode_plus(self.src_text   ).input_ids[0]
        self.assertListEqual(self.expected_src_tokens				,  lowerCAmelCase   )




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






        self.assertIn(lowerCAmelCase				,  self.tokenizer.all_special_ids   )
        _lowercase      			=[EN_CODE, 9_037, 33_442, 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   )    ->					Dict:
        '''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   )    ->					Any:
        '''simple docstring'''






        self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__']   )				,  [50_004, 50_001]   )




  def     A__	(							self   )    ->					List[str]:
        '''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   )    ->					int:
        '''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   )    ->					List[Any]:
        '''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   )    ->					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=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   )    ->					Union[str, Any]:
        '''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, 50_003]],
                'attention_mask': [[1, 1, 1, 1]],
                # java
                'forced_bos_token_id': 50_001,
            }				,  )





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase_   							=  {
    'configuration_timesformer': ['TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TimesformerConfig'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  lowercase_   							=  [
      'TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
      'TimesformerModel',
      'TimesformerForVideoClassification',
      'TimesformerPreTrainedModel',
  ]

if TYPE_CHECKING:
  from .configuration_timesformer import TIMESFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, TimesformerConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_timesformer import (
        TIMESFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        TimesformerForVideoClassification,
        TimesformerModel,
        TimesformerPreTrainedModel,
    )

else:
  import sys

  lowercase_   							=  _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


