




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__					:  List[str]      							=				get_tests_dir('fixtures/test_sentencepiece.model')


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

lowerCamelCase__					:  int      							=				50_003
lowerCamelCase__					:  List[str]      							=				50_002





@require_sentencepiece
@require_tokenizers
class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE			,  unittest.TestCase   ):


 '''simple docstring'''







 lowercase_							       =       PLBartTokenizer
 lowercase_							       =       None
 lowercase_							       =       False



 def  lowerCAmelCase_    (				self    :						List[str]		):
       super().setUp()

       # We have a SentencePiece fixture for testing
       SCREAMING_SNAKE_CASE_      		=     PLBartTokenizer(_lowerCAmelCase							,							language_codes='base'							,							keep_accents=_lowerCAmelCase		)
       tokenizer.save_pretrained(self.tmpdirname		)



 def  lowerCAmelCase_    (				self    :						int		):
       SCREAMING_SNAKE_CASE_      		=     PLBartTokenizer(_lowerCAmelCase							,							language_codes='base'							,							keep_accents=_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_      		=     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]]							,							)

       SCREAMING_SNAKE_CASE_      		=     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',
               '.',
           ]							,							)
       SCREAMING_SNAKE_CASE_      		=     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]
           ]							,							)

       SCREAMING_SNAKE_CASE_      		=     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>',
               '.',
           ]							,							)

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

       self.assertListEqual(_lowerCAmelCase							,							['__java__', '__python__', '__en_XX__', '<mask>']		)

       SCREAMING_SNAKE_CASE_      		=     'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
       SCREAMING_SNAKE_CASE_      		=     tokenizer(_lowerCAmelCase		).input_ids
       self.assertEqual(
           tokenizer.decode(_lowerCAmelCase							,							skip_special_tokens=_lowerCAmelCase							,							clean_up_tokenization_spaces=_lowerCAmelCase		)							,							_lowerCAmelCase							,							)




 def  lowerCAmelCase_    (				self    :						int		):
       SCREAMING_SNAKE_CASE_      		=     PLBartTokenizer(_lowerCAmelCase							,							language_codes='multi'							,							keep_accents=_lowerCAmelCase		)

       SCREAMING_SNAKE_CASE_      		=     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]]							,							)

       SCREAMING_SNAKE_CASE_      		=     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',
               '.',
           ]							,							)
       SCREAMING_SNAKE_CASE_      		=     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]
           ]							,							)

       SCREAMING_SNAKE_CASE_      		=     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>',
               '.',
           ]							,							)
       SCREAMING_SNAKE_CASE_      		=     tokenizer.vocab_size
       SCREAMING_SNAKE_CASE_      		=     [tokenizer.convert_ids_to_tokens(_lowerCAmelCase		) for x in range(end - 7							,							_lowerCAmelCase		)]

       self.assertListEqual(
           _lowerCAmelCase							,							['__java__', '__python__', '__en_XX__', '__javascript__', '__php__', '__ruby__', '__go__']		)
       SCREAMING_SNAKE_CASE_      		=     'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
       SCREAMING_SNAKE_CASE_      		=     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   ):


 '''simple docstring'''







 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,
     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  lowerCAmelCase_    (				cls    :						Optional[int]		):
       SCREAMING_SNAKE_CASE_      		=     PLBartTokenizer.from_pretrained(
           cls.checkpoint_name							,							language_codes='base'							,							src_lang='python'							,							tgt_lang='en_XX'		)
       SCREAMING_SNAKE_CASE_      		=     1
       return cls



 def  lowerCAmelCase_    (				self    :						Union[str, Any]		):
       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  lowerCAmelCase_    (				self    :						Any		):
       SCREAMING_SNAKE_CASE_      		=     self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
       self.assertListEqual(self.expected_src_tokens							,							_lowerCAmelCase		)



 def  lowerCAmelCase_    (				self    :						Any		):
       self.assertIn(_lowerCAmelCase							,							self.tokenizer.all_special_ids		)
       SCREAMING_SNAKE_CASE_      		=     [EN_CODE, 9_037, 33_442, 57, 752, 153, 14, 56, 18, 9, 2]
       SCREAMING_SNAKE_CASE_      		=     self.tokenizer.decode(_lowerCAmelCase							,							skip_special_tokens=_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     self.tokenizer.decode(generated_ids[1:]							,							skip_special_tokens=_lowerCAmelCase		)
       self.assertEqual(_lowerCAmelCase							,							_lowerCAmelCase		)
       self.assertNotIn(self.tokenizer.eos_token							,							_lowerCAmelCase		)



 def  lowerCAmelCase_    (				self    :						Dict		):
       SCREAMING_SNAKE_CASE_      		=     ['def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])' * 20]
       self.assertIsInstance(src_text[0]							,							_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     10
       SCREAMING_SNAKE_CASE_      		=     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  lowerCAmelCase_    (				self    :						Union[str, Any]		):
       self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__']		)							,							[50_004, 50_001]		)



 def  lowerCAmelCase_    (				self    :						Union[str, Any]		):
       SCREAMING_SNAKE_CASE_      		=     tempfile.mkdtemp()
       SCREAMING_SNAKE_CASE_      		=     self.tokenizer.fairseq_tokens_to_ids
       self.tokenizer.save_pretrained(_lowerCAmelCase		)
       SCREAMING_SNAKE_CASE_      		=     PLBartTokenizer.from_pretrained(_lowerCAmelCase		)
       self.assertDictEqual(new_tok.fairseq_tokens_to_ids							,							_lowerCAmelCase		)



 @require_torch
 def  lowerCAmelCase_    (				self    :						Dict		):
       SCREAMING_SNAKE_CASE_      		=     self.tokenizer(self.src_text							,							text_target=self.tgt_text							,							padding=_lowerCAmelCase							,							return_tensors='pt'		)
       SCREAMING_SNAKE_CASE_      		=     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  lowerCAmelCase_    (				self    :						Any		):
       SCREAMING_SNAKE_CASE_      		=     self.tokenizer(
           self.src_text							,							text_target=self.tgt_text							,							padding=_lowerCAmelCase							,							truncation=_lowerCAmelCase							,							max_length=len(self.expected_src_tokens		)							,							return_tensors='pt'							,							)
       SCREAMING_SNAKE_CASE_      		=     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		)
       SCREAMING_SNAKE_CASE_      		=     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  lowerCAmelCase_    (				self    :						Any		):
       SCREAMING_SNAKE_CASE_      		=     self.tokenizer(self.src_text							,							padding=_lowerCAmelCase							,							truncation=_lowerCAmelCase							,							max_length=3							,							return_tensors='pt'		)
       SCREAMING_SNAKE_CASE_      		=     self.tokenizer(
           text_target=self.tgt_text							,							padding=_lowerCAmelCase							,							truncation=_lowerCAmelCase							,							max_length=10							,							return_tensors='pt'		)
       SCREAMING_SNAKE_CASE_      		=     targets['input_ids']
       SCREAMING_SNAKE_CASE_      		=     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  lowerCAmelCase_    (				self    :						List[str]		):
       SCREAMING_SNAKE_CASE_      		=     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,
           }							,							)





import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


lowerCamelCase__					:  Union[str, Any]      							=				logging.get_logger(__name__)





class 			lowerCamelCase_				( _SCREAMING_SNAKE_CASE   ):


 '''simple docstring'''







 def __init__(				self    :						Dict							,							*_lowerCAmelCase    :						Optional[Any]							,							**_lowerCAmelCase    :						Any		):
       warnings.warn(
           'The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
           ' Please use LayoutLMv2ImageProcessor instead.'							,							_lowerCAmelCase							,							)
       super().__init__(*_lowerCAmelCase							,							**_lowerCAmelCase		)