



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_									=							get_tests_dir("fixtures/test_sentencepiece.model")


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

UpperCAmelCase_									=							5_0_0_0_3
UpperCAmelCase_									=							5_0_0_0_2





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





   def 	__lowerCAmelCase							(	self			):
         super().setUp()

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





   def 	__lowerCAmelCase							(	self			):
         _lowerCAmelCase 			=  PLBartTokenizer(_lowerCAmelCase       ,     language_codes='''base'''       ,     keep_accents=_lowerCAmelCase			)

         _lowerCAmelCase 			=  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]]       ,     )

         _lowerCAmelCase 			=  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''',
                 '''.''',
             ]       ,     )
         _lowerCAmelCase 			=  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]
             ]       ,     )

         _lowerCAmelCase 			=  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>''',
                 '''.''',
             ]       ,     )

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

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

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





   def 	__lowerCAmelCase							(	self			):
         _lowerCAmelCase 			=  PLBartTokenizer(_lowerCAmelCase       ,     language_codes='''multi'''       ,     keep_accents=_lowerCAmelCase			)

         _lowerCAmelCase 			=  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]]       ,     )

         _lowerCAmelCase 			=  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''',
                 '''.''',
             ]       ,     )
         _lowerCAmelCase 			=  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]
             ]       ,     )

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

         self.assertListEqual(
             _lowerCAmelCase       ,     ['''__java__''', '''__python__''', '''__en_XX__''', '''__javascript__''', '''__php__''', '''__ruby__''', '''__go__''']			)
         _lowerCAmelCase 			=  '''java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'''
         _lowerCAmelCase 			=  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 		UpperCAmelCase						(						unittest.TestCase				):
   SCREAMING_SNAKE_CASE__							=     '''uclanlp/plbart-python-en_XX'''
   SCREAMING_SNAKE_CASE__							=     [
       '''def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])''',
       '''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''',
   ]
   SCREAMING_SNAKE_CASE__							=     [
       '''Returns the maximum value of a b c.''',
       '''Sums the values of a b c.''',
   ]
   SCREAMING_SNAKE_CASE__							=     [
       1_3_4,
       5_4_5_2,
       3_3_4_6_0,
       3_3_4_4_1,
       3_3_4_6_3,
       3_3_4_6_5,
       3_3_4_6_3,
       3_3_4_4_9,
       9_8_8,
       2_0,
       3_3_4_5_6,
       1_9,
       3_3_4_5_6,
       7_7_1,
       3_9,
       4_2_5_8,
       8_8_9,
       3_3_1_8,
       3_3_4_4_1,
       3_3_4_6_3,
       3_3_4_6_5,
       3_3_4_6_3,
       3_3_4_4_9,
       2_4_7_1,
       2,
       PYTHON_CODE,
   ]





   @classmethod
   def 	__lowerCAmelCase							(	cls			):
         _lowerCAmelCase 			=  PLBartTokenizer.from_pretrained(
             cls.checkpoint_name       ,     language_codes='''base'''       ,     src_lang='''python'''       ,     tgt_lang='''en_XX'''			)
         _lowerCAmelCase 			=  1
         return cls





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





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





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





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





   @require_torch
   def 	__lowerCAmelCase							(	self			):
         _lowerCAmelCase 			=  self.tokenizer(self.src_text       ,     text_target=self.tgt_text       ,     padding=_lowerCAmelCase       ,     return_tensors='''pt'''			)
         _lowerCAmelCase 			=  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			):
         _lowerCAmelCase 			=  self.tokenizer(
             self.src_text       ,     text_target=self.tgt_text       ,     padding=_lowerCAmelCase       ,     truncation=_lowerCAmelCase       ,     max_length=len(self.expected_src_tokens			)       ,     return_tensors='''pt'''       ,     )
         _lowerCAmelCase 			=  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			)
         _lowerCAmelCase 			=  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			):
         _lowerCAmelCase 			=  self.tokenizer(self.src_text       ,     padding=_lowerCAmelCase       ,     truncation=_lowerCAmelCase       ,     max_length=3       ,     return_tensors='''pt'''			)
         _lowerCAmelCase 			=  self.tokenizer(
             text_target=self.tgt_text       ,     padding=_lowerCAmelCase       ,     truncation=_lowerCAmelCase       ,     max_length=10       ,     return_tensors='''pt'''			)
         _lowerCAmelCase 			=  targets['''input_ids''']
         _lowerCAmelCase 			=  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			):
         _lowerCAmelCase 			=  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_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCAmelCase_									=							{"processing_layoutxlm": ["LayoutXLMProcessor"]}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_									=							["LayoutXLMTokenizer"]

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCAmelCase_									=							["LayoutXLMTokenizerFast"]

if TYPE_CHECKING:
    from .processing_layoutxlm import LayoutXLMProcessor

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_layoutxlm import LayoutXLMTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
    import sys

    UpperCAmelCase_									=							_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)