






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	:							Any				=get_tests_dir('''fixtures/test_sentencepiece.model''')


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

lowerCamelCase	:							Dict				=50003
lowerCamelCase	:							str				=50002





@require_sentencepiece
@require_tokenizers
class 			__a  (    A__       ,   unittest.TestCase       ):
 _lowerCAmelCase       :       List[str]        = PLBartTokenizer
 _lowerCAmelCase       :       Union[str, Any]        = None
 _lowerCAmelCase       :       Optional[int]        = False







 def 					__lowercase					(		self					:   List[Any]						):


      '''simple docstring'''






      super().setUp()

      # We have a SentencePiece fixture for testing
      UpperCamelCase__			:   Optional[Any]       				=  PLBartTokenizer(SCREAMING_SNAKE_CASE							,   language_codes="base"							,   keep_accents=SCREAMING_SNAKE_CASE						)
      tokenizer.save_pretrained(self.tmpdirname						)







 def 					__lowercase					(		self					:   Any						):


      '''simple docstring'''






      UpperCamelCase__			:   List[str]       				=  PLBartTokenizer(SCREAMING_SNAKE_CASE							,   language_codes="base"							,   keep_accents=SCREAMING_SNAKE_CASE						)

      UpperCamelCase__			:   Dict       				=  tokenizer.tokenize("This is a test"						)
      self.assertListEqual(SCREAMING_SNAKE_CASE							,   ["▁This", "▁is", "▁a", "▁t", "est"]						)

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)							,   [value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]							,   )

      UpperCamelCase__			:   str       				=  tokenizer.tokenize("I was born in 92000, and this is falsé."						)
      self.assertListEqual(
          SCREAMING_SNAKE_CASE							,   [
              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",
              ".",
          ]							,   )
      UpperCamelCase__			:   List[Any]       				=  tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)
      self.assertListEqual(
          SCREAMING_SNAKE_CASE							,   [
              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]
          ]							,   )

      UpperCamelCase__			:   Union[str, Any]       				=  tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE						)
      self.assertListEqual(
          SCREAMING_SNAKE_CASE							,   [
              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>",
              ".",
          ]							,   )

      UpperCamelCase__			:   List[Any]       				=  tokenizer.vocab_size
      UpperCamelCase__			:   int       				=  [tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE						) for x in range(end - 4							,   SCREAMING_SNAKE_CASE						)]

      self.assertListEqual(SCREAMING_SNAKE_CASE							,   ["__java__", "__python__", "__en_XX__", "<mask>"]						)

      UpperCamelCase__			:   List[Any]       				=  "java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"
      UpperCamelCase__			:   Union[str, Any]       				=  tokenizer(SCREAMING_SNAKE_CASE						).input_ids
      self.assertEqual(
          tokenizer.decode(SCREAMING_SNAKE_CASE							,   skip_special_tokens=SCREAMING_SNAKE_CASE							,   clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE						)							,   SCREAMING_SNAKE_CASE							,   )







 def 					__lowercase					(		self					:   int						):


      '''simple docstring'''






      UpperCamelCase__			:   List[Any]       				=  PLBartTokenizer(SCREAMING_SNAKE_CASE							,   language_codes="multi"							,   keep_accents=SCREAMING_SNAKE_CASE						)

      UpperCamelCase__			:   int       				=  tokenizer.tokenize("This is a test"						)
      self.assertListEqual(SCREAMING_SNAKE_CASE							,   ["▁This", "▁is", "▁a", "▁t", "est"]						)

      self.assertListEqual(
          tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)							,   [value + tokenizer.fairseq_offset for value in [2_85, 46, 10, 1_70, 3_82]]							,   )

      UpperCamelCase__			:   str       				=  tokenizer.tokenize("I was born in 92000, and this is falsé."						)
      self.assertListEqual(
          SCREAMING_SNAKE_CASE							,   [
              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",
              ".",
          ]							,   )
      UpperCamelCase__			:   List[str]       				=  tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)
      self.assertListEqual(
          SCREAMING_SNAKE_CASE							,   [
              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]
          ]							,   )

      UpperCamelCase__			:   List[Any]       				=  tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE						)
      self.assertListEqual(
          SCREAMING_SNAKE_CASE							,   [
              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>",
              ".",
          ]							,   )
      UpperCamelCase__			:   Tuple       				=  tokenizer.vocab_size
      UpperCamelCase__			:   Dict       				=  [tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE						) for x in range(end - 7							,   SCREAMING_SNAKE_CASE						)]

      self.assertListEqual(
          SCREAMING_SNAKE_CASE							,   ["__java__", "__python__", "__en_XX__", "__javascript__", "__php__", "__ruby__", "__go__"]						)
      UpperCamelCase__			:   Tuple       				=  "java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"
      UpperCamelCase__			:   Union[str, Any]       				=  tokenizer(SCREAMING_SNAKE_CASE						).input_ids
      self.assertEqual(
          tokenizer.decode(SCREAMING_SNAKE_CASE							,   skip_special_tokens=SCREAMING_SNAKE_CASE							,   clean_up_tokenization_spaces=SCREAMING_SNAKE_CASE						)							,   SCREAMING_SNAKE_CASE							,   )







@require_torch
@require_sentencepiece
@require_tokenizers
class 			__a  (    unittest.TestCase       ):
 _lowerCAmelCase       :       Optional[Any]        = '''uclanlp/plbart-python-en_XX'''
 _lowerCAmelCase       :       Optional[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])''',
 ]
 _lowerCAmelCase       :       str        = [
     '''Returns the maximum value of a b c.''',
     '''Sums the values of a b c.''',
 ]
 _lowerCAmelCase       :       Optional[Any]        = [
     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 					__lowercase					(		cls					:   Any						):


      '''simple docstring'''






      UpperCamelCase__			:   PLBartTokenizer       				=  PLBartTokenizer.from_pretrained(
          cls.checkpoint_name							,   language_codes="base"							,   src_lang="python"							,   tgt_lang="en_XX"						)
      UpperCamelCase__			:   List[Any]       				=  1
      return cls







 def 					__lowercase					(		self					:   Dict						):


      '''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 					__lowercase					(		self					:   List[Any]						):


      '''simple docstring'''






      UpperCamelCase__			:   Optional[Any]       				=  self.tokenizer.batch_encode_plus(self.src_text						).input_ids[0]
      self.assertListEqual(self.expected_src_tokens							,   SCREAMING_SNAKE_CASE						)







 def 					__lowercase					(		self					:   str						):


      '''simple docstring'''






      self.assertIn(SCREAMING_SNAKE_CASE							,   self.tokenizer.all_special_ids						)
      UpperCamelCase__			:   Optional[int]       				=  [EN_CODE, 90_37, 3_34_42, 57, 7_52, 1_53, 14, 56, 18, 9, 2]
      UpperCamelCase__			:   Any       				=  self.tokenizer.decode(SCREAMING_SNAKE_CASE							,   skip_special_tokens=SCREAMING_SNAKE_CASE						)
      UpperCamelCase__			:   Dict       				=  self.tokenizer.decode(generated_ids[1:]							,   skip_special_tokens=SCREAMING_SNAKE_CASE						)
      self.assertEqual(SCREAMING_SNAKE_CASE							,   SCREAMING_SNAKE_CASE						)
      self.assertNotIn(self.tokenizer.eos_token							,   SCREAMING_SNAKE_CASE						)







 def 					__lowercase					(		self					:   Optional[Any]						):


      '''simple docstring'''






      UpperCamelCase__			:   Optional[Any]       				=  ["def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])" * 20]
      self.assertIsInstance(src_text[0]							,   SCREAMING_SNAKE_CASE						)
      UpperCamelCase__			:   Union[str, Any]       				=  10
      UpperCamelCase__			:   Tuple       				=  self.tokenizer(SCREAMING_SNAKE_CASE							,   max_length=SCREAMING_SNAKE_CASE							,   truncation=SCREAMING_SNAKE_CASE						).input_ids[0]
      self.assertEqual(ids[-2]							,   2						)
      self.assertEqual(ids[-1]							,   SCREAMING_SNAKE_CASE						)
      self.assertEqual(len(SCREAMING_SNAKE_CASE						)							,   SCREAMING_SNAKE_CASE						)







 def 					__lowercase					(		self					:   Dict						):


      '''simple docstring'''






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







 def 					__lowercase					(		self					:   List[Any]						):


      '''simple docstring'''






      UpperCamelCase__			:   List[str]       				=  tempfile.mkdtemp()
      UpperCamelCase__			:   Tuple       				=  self.tokenizer.fairseq_tokens_to_ids
      self.tokenizer.save_pretrained(SCREAMING_SNAKE_CASE						)
      UpperCamelCase__			:   int       				=  PLBartTokenizer.from_pretrained(SCREAMING_SNAKE_CASE						)
      self.assertDictEqual(new_tok.fairseq_tokens_to_ids							,   SCREAMING_SNAKE_CASE						)







 @require_torch
 def 					__lowercase					(		self					:   Optional[int]						):


      '''simple docstring'''






      UpperCamelCase__			:   Optional[int]       				=  self.tokenizer(self.src_text							,   text_target=self.tgt_text							,   padding=SCREAMING_SNAKE_CASE							,   return_tensors="pt"						)
      UpperCamelCase__			:   Union[str, Any]       				=  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]							,   SCREAMING_SNAKE_CASE						)
      self.assertEqual(batch.decoder_input_ids[1][-1]							,   2						)
      self.assertEqual(batch.labels[1][-2:].tolist()							,   [2, EN_CODE]						)







 @require_torch
 def 					__lowercase					(		self					:   List[Any]						):


      '''simple docstring'''






      UpperCamelCase__			:   Any       				=  self.tokenizer(
          self.src_text							,   text_target=self.tgt_text							,   padding=SCREAMING_SNAKE_CASE							,   truncation=SCREAMING_SNAKE_CASE							,   max_length=len(self.expected_src_tokens						)							,   return_tensors="pt"							,   )
      UpperCamelCase__			:   Any       				=  shift_tokens_right(batch["labels"]							,   self.tokenizer.pad_token_id						)

      self.assertIsInstance(SCREAMING_SNAKE_CASE							,   SCREAMING_SNAKE_CASE						)

      self.assertEqual((2, 26)							,   batch.input_ids.shape						)
      self.assertEqual((2, 26)							,   batch.attention_mask.shape						)
      UpperCamelCase__			:   Union[str, Any]       				=  batch.input_ids.tolist()[0]
      self.assertListEqual(self.expected_src_tokens							,   SCREAMING_SNAKE_CASE						)
      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 					__lowercase					(		self					:   Tuple						):


      '''simple docstring'''






      UpperCamelCase__			:   List[str]       				=  self.tokenizer(self.src_text							,   padding=SCREAMING_SNAKE_CASE							,   truncation=SCREAMING_SNAKE_CASE							,   max_length=3							,   return_tensors="pt"						)
      UpperCamelCase__			:   Tuple       				=  self.tokenizer(
          text_target=self.tgt_text							,   padding=SCREAMING_SNAKE_CASE							,   truncation=SCREAMING_SNAKE_CASE							,   max_length=10							,   return_tensors="pt"						)
      UpperCamelCase__			:   int       				=  targets["input_ids"]
      UpperCamelCase__			:   List[Any]       				=  shift_tokens_right(SCREAMING_SNAKE_CASE							,   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 					__lowercase					(		self					:   str						):


      '''simple docstring'''






      UpperCamelCase__			:   Dict       				=  self.tokenizer._build_translation_inputs(
          "A test"							,   return_tensors="pt"							,   src_lang="en_XX"							,   tgt_lang="java"						)

      self.assertEqual(
          nested_simplify(SCREAMING_SNAKE_CASE						)							,   {
              # 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,
          }							,   )







lowerCamelCase	:							List[Any]				=[
    (1000, '''M'''),
    (900, '''CM'''),
    (500, '''D'''),
    (400, '''CD'''),
    (100, '''C'''),
    (90, '''XC'''),
    (50, '''L'''),
    (40, '''XL'''),
    (10, '''X'''),
    (9, '''IX'''),
    (5, '''V'''),
    (4, '''IV'''),
    (1, '''I'''),
]







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	int:
     UpperCamelCase__			:   Optional[int]       				=  {"I": 1, "V": 5, "X": 10, "L": 50, "C": 100, "D": 500, "M": 1000}
     UpperCamelCase__			:   Any       				=  0
     UpperCamelCase__			:   Any       				=  0
     while place < len(__lowerCAmelCase			):
          if (place + 1 < len(__lowerCAmelCase			)) and (vals[roman[place]] < vals[roman[place + 1]]):
               total += vals[roman[place + 1]] - vals[roman[place]]
               place += 2
          else:
               total += vals[roman[place]]
               place += 1
     return total







def 		SCREAMING_SNAKE_CASE							(					__lowerCAmelCase			) ->	str:
     UpperCamelCase__			:   Optional[int]       				=  []
     for arabic, roman in ROMAN:
          ((UpperCamelCase__)				,     (UpperCamelCase__))			:   Optional[int]       				=  divmod(__lowerCAmelCase					,    __lowerCAmelCase			)
          result.append(roman * factor			)
          if number == 0:
               break
     return "".join(__lowerCAmelCase			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()