






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


a__      :				Dict   	=			get_tests_dir("fixtures/test_sentencepiece.model")


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

a__      :				int   	=			5_00_03
a__      :				Dict   	=			5_00_02



@require_sentencepiece
@require_tokenizers
class       UpperCAmelCase__(							lowerCamelCase     ,							unittest.TestCase	):

   '''simple docstring'''




   A    :  Any       				=    PLBartTokenizer
   A    :  str       				=    None
   A    :  str       				=    False


   def 			UpperCAmelCase		(						self  :			Union[str, Any])	->				Tuple:




         """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  :			Optional[Any])	->				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 [2_85, 46, 10, 1_70, 3_82]]			,				)

         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, 6_02, 3_47, 3_47, 3_47, 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 			UpperCAmelCase		(						self  :			Any)	->				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_85, 46, 10, 1_70, 3_82]]			,				)

         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, 6_02, 3_47, 3_47, 3_47, 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       UpperCAmelCase__(							unittest.TestCase	):

   '''simple docstring'''




   A    :  List[Any]       				=    "uclanlp/plbart-python-en_XX"
   A    :  List[Any]       				=    [
       "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    :  Any       				=    [
       "Returns the maximum value of a b c.",
       "Sums the values of a b c.",
   ]
   A    :  str       				=    [
       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  :			Any)	->				str:




         """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  :			str)	->				List[str]:




         """simple docstring"""

         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__java__']			,				5_00_01)
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__python__']			,				5_00_02)
         self.assertEqual(self.tokenizer.fairseq_tokens_to_ids['__en_XX__']			,				5_00_03)


   def 			UpperCAmelCase		(						self  :			Union[str, Any])	->				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  :			Dict)	->				Dict:




         """simple docstring"""

         self.assertIn(lowerCAmelCase			,				self.tokenizer.all_special_ids)
         lowercase__     =  [EN_CODE, 90_37, 3_34_42, 57, 7_52, 1_53, 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 			UpperCAmelCase		(						self  :			Any)	->				int:




         """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 			UpperCAmelCase		(						self  :			Dict)	->				Optional[Any]:




         """simple docstring"""

         self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__'])			,				[5_00_04, 5_00_01])


   def 			UpperCAmelCase		(						self  :			Optional[Any])	->				Tuple:




         """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  :			Any)	->				Optional[Any]:




         """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  :			Dict)	->				str:




         """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 			UpperCAmelCase		(						self  :			int)	->				str:




         """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 			UpperCAmelCase		(						self  :			str)	->				Tuple:




         """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_50, 2_42, 2, 5_00_03]],
                 'attention_mask': [[1, 1, 1, 1]],
                 # java
                 'forced_bos_token_id': 5_00_01,
             }			,				)





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
)


a__      :				Any   	=			{"configuration_reformer": ["REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "ReformerConfig"]}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a__      :				Optional[int]   	=			["ReformerTokenizer"]

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a__      :				Union[str, Any]   	=			["ReformerTokenizerFast"]

try:
       if not is_torch_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       a__      :				Any   	=			[
           "REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
           "ReformerAttention",
           "ReformerForMaskedLM",
           "ReformerForQuestionAnswering",
           "ReformerForSequenceClassification",
           "ReformerLayer",
           "ReformerModel",
           "ReformerModelWithLMHead",
           "ReformerPreTrainedModel",
       ]


if TYPE_CHECKING:
       from .configuration_reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_reformer import ReformerTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_reformer_fast import ReformerTokenizerFast

       try:
              if not is_torch_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .modeling_reformer import (
                  REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
                  ReformerAttention,
                  ReformerForMaskedLM,
                  ReformerForQuestionAnswering,
                  ReformerForSequenceClassification,
                  ReformerLayer,
                  ReformerModel,
                  ReformerModelWithLMHead,
                  ReformerPreTrainedModel,
              )

else:
       import sys

       a__      :				Tuple   	=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
