




"""simple docstring"""


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


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

A_      =    5_00_03
A_      =    5_00_02






@require_sentencepiece
@require_tokenizers
class  lowercase(					__a	,      unittest.TestCase			):







 '''simple docstring'''





 lowercase__			 = PLBartTokenizer
 lowercase__			 = None
 lowercase__			 = False


 def 			UpperCamelCase_       (    self:		Union[str, Any]		):




   '''simple docstring'''



   super().setUp()

   # We have a SentencePiece fixture for testing
   _snake_case							:		Any								=  PLBartTokenizer(a_,				language_codes="""base""",				keep_accents=a_		)
   tokenizer.save_pretrained(self.tmpdirname		)


 def 			UpperCamelCase_       (    self:		Optional[int]		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  PLBartTokenizer(a_,				language_codes="""base""",				keep_accents=a_		)

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

   self.assertListEqual(
       tokenizer.convert_tokens_to_ids(a_		),				[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]],				)

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

   _snake_case							:		int								=  tokenizer.convert_ids_to_tokens(a_		)
   self.assertListEqual(
       a_,				[
           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>""",
           """.""",
       ],				)

   _snake_case							:		Tuple								=  tokenizer.vocab_size
   _snake_case							:		Dict								=  [tokenizer.convert_ids_to_tokens(a_		) for x in range(end - 4,				a_		)]

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

   _snake_case							:		List[Any]								=  """java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
   _snake_case							:		Optional[int]								=  tokenizer(a_		).input_ids
   self.assertEqual(
       tokenizer.decode(a_,				skip_special_tokens=a_,				clean_up_tokenization_spaces=a_		),				a_,				)


 def 			UpperCamelCase_       (    self:		Optional[int]		):




   '''simple docstring'''



   _snake_case							:		int								=  PLBartTokenizer(a_,				language_codes="""multi""",				keep_accents=a_		)

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

   self.assertListEqual(
       tokenizer.convert_tokens_to_ids(a_		),				[value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]],				)

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

   _snake_case							:		int								=  tokenizer.convert_ids_to_tokens(a_		)
   self.assertListEqual(
       a_,				[
           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>""",
           """.""",
       ],				)
   _snake_case							:		Optional[int]								=  tokenizer.vocab_size
   _snake_case							:		Tuple								=  [tokenizer.convert_ids_to_tokens(a_		) for x in range(end - 7,				a_		)]

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







@require_torch
@require_sentencepiece
@require_tokenizers
class  lowercase(					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__			 = [
     1_34,
     54_52,
     3_34_60,
     3_34_41,
     3_34_63,
     3_34_65,
     3_34_63,
     3_34_49,
     9_88,
     20,
     3_34_56,
     19,
     3_34_56,
     7_71,
     39,
     42_58,
     8_89,
     33_18,
     3_34_41,
     3_34_63,
     3_34_65,
     3_34_63,
     3_34_49,
     24_71,
     2,
     PYTHON_CODE,
 ]


 @classmethod
 def 			UpperCamelCase_       (    cls:		List[str]		):




   '''simple docstring'''



   _snake_case							:		PLBartTokenizer								=  PLBartTokenizer.from_pretrained(
       cls.checkpoint_name,				language_codes="""base""",				src_lang="""python""",				tgt_lang="""en_XX"""		)
   _snake_case							:		Tuple								=  1
   return cls


 def 			UpperCamelCase_       (    self:		List[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 			UpperCamelCase_       (    self:		Optional[Any]		):




   '''simple docstring'''



   _snake_case							:		List[str]								=  self.tokenizer.batch_encode_plus(self.src_text		).input_ids[0]
   self.assertListEqual(self.expected_src_tokens,				a_		)


 def 			UpperCamelCase_       (    self:		Tuple		):




   '''simple docstring'''



   self.assertIn(a_,				self.tokenizer.all_special_ids		)
   _snake_case							:		Optional[int]								=  [EN_CODE, 9_037, 33_442, 57, 752, 153, 14, 56, 18, 9, 2]
   _snake_case							:		Optional[Any]								=  self.tokenizer.decode(a_,				skip_special_tokens=a_		)
   _snake_case							:		Dict								=  self.tokenizer.decode(generated_ids[1:],				skip_special_tokens=a_		)
   self.assertEqual(a_,				a_		)
   self.assertNotIn(self.tokenizer.eos_token,				a_		)


 def 			UpperCamelCase_       (    self:		List[str]		):




   '''simple docstring'''



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


 def 			UpperCamelCase_       (    self:		Tuple		):




   '''simple docstring'''



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


 def 			UpperCamelCase_       (    self:		Tuple		):




   '''simple docstring'''



   _snake_case							:		Union[str, Any]								=  tempfile.mkdtemp()
   _snake_case							:		Union[str, Any]								=  self.tokenizer.fairseq_tokens_to_ids
   self.tokenizer.save_pretrained(a_		)
   _snake_case							:		Dict								=  PLBartTokenizer.from_pretrained(a_		)
   self.assertDictEqual(new_tok.fairseq_tokens_to_ids,				a_		)


 @require_torch
 def 			UpperCamelCase_       (    self:		Dict		):




   '''simple docstring'''



   _snake_case							:		List[Any]								=  self.tokenizer(self.src_text,				text_target=self.tgt_text,				padding=a_,				return_tensors="""pt"""		)
   _snake_case							:		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],				a_		)
   self.assertEqual(batch.decoder_input_ids[1][-1],				2		)
   self.assertEqual(batch.labels[1][-2:].tolist(),				[2, EN_CODE]		)


 @require_torch
 def 			UpperCamelCase_       (    self:		Optional[Any]		):




   '''simple docstring'''



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

   self.assertIsInstance(a_,				a_		)

   self.assertEqual((2, 26),				batch.input_ids.shape		)
   self.assertEqual((2, 26),				batch.attention_mask.shape		)
   _snake_case							:		Union[str, Any]								=  batch.input_ids.tolist()[0]
   self.assertListEqual(self.expected_src_tokens,				a_		)
   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:		Any		):




   '''simple docstring'''



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




   '''simple docstring'''



   _snake_case							:		List[Any]								=  self.tokenizer._build_translation_inputs(
       """A test""",				return_tensors="""pt""",				src_lang="""en_XX""",				tgt_lang="""java"""		)

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








"""simple docstring"""


def  UpperCAmelCase__	(snake_case__							: int = 1_00_00_00   ):
  """simple docstring"""

  _snake_case							:		Dict								=  [i - 1 for i in range(limit + 1   )]

  for i in range(2		,       limit + 1   ):
    if phi[i] == i - 1:
      for j in range(2 * i		,       limit + 1		,       snake_case__   ):
        phi[j] -= phi[j] // i

  return sum(phi[2 : limit + 1]   )


if __name__ == "__main__":
     print(solution())


