






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         =	50003
lowerCamelCase			:					Tuple         =	50002



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


      def  __UpperCAmelCase		(	self	)->	Tuple:
           super().setUp()

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


      def  __UpperCAmelCase		(	self	)->	List[Any]:
           __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 [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]					,						)

           __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, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 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  __UpperCAmelCase		(	self	)->	int:
           __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 [2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]]					,						)

           __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, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 2, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 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			):
      snake_case_  =							'''uclanlp/plbart-python-en_XX'''
      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])''',
      ]
      snake_case_  =							[
          '''Returns the maximum value of a b c.''',
          '''Sums the values of a b c.''',
      ]
      snake_case_  =							[
          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	)->	int:
           __lowerCAmelCase								=					PLBartTokenizer.from_pretrained(
               cls.checkpoint_name					,						language_codes="base"					,						src_lang="python"					,						tgt_lang="en_XX"	)
           __lowerCAmelCase								=					1
           return cls


      def  __UpperCAmelCase		(	self	)->	Tuple:
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["__java__"]					,						5_0_0_0_1	)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["__python__"]					,						5_0_0_0_2	)
           self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["__en_XX__"]					,						5_0_0_0_3	)


      def  __UpperCAmelCase		(	self	)->	List[Any]:
           __lowerCAmelCase								=					self.tokenizer.batch_encode_plus(self.src_text	).input_ids[0]
           self.assertListEqual(self.expected_src_tokens					,						lowerCAmelCase_	)


      def  __UpperCAmelCase		(	self	)->	str:
           self.assertIn(lowerCAmelCase_					,						self.tokenizer.all_special_ids	)
           __lowerCAmelCase								=					[EN_CODE, 9_0_3_7, 3_3_4_4_2, 5_7, 7_5_2, 1_5_3, 1_4, 5_6, 1_8, 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  __UpperCAmelCase		(	self	)->	Union[str, Any]:
           __lowerCAmelCase								=					["def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])" * 2_0]
           self.assertIsInstance(src_text[0]					,						lowerCAmelCase_	)
           __lowerCAmelCase								=					1_0
           __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  __UpperCAmelCase		(	self	)->	Optional[int]:
           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "__java__"]	)					,						[5_0_0_0_4, 5_0_0_0_1]	)


      def  __UpperCAmelCase		(	self	)->	Any:
           __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  __UpperCAmelCase		(	self	)->	str:
           __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  __UpperCAmelCase		(	self	)->	Dict:
           __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, 2_6)					,						batch.input_ids.shape	)
           self.assertEqual((2, 2_6)					,						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  __UpperCAmelCase		(	self	)->	Dict:
           __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=1_0					,						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]					,						1_0	)


      @require_torch
      def  __UpperCAmelCase		(	self	)->	List[Any]:
           __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": [[1_5_0, 2_4_2, 2, 5_0_0_0_3]],
                   "attention_mask": [[1, 1, 1, 1]],
                   # java
                   "forced_bos_token_id": 5_0_0_0_1,
               }					,						)







def       __lowerCAmelCase      (						__snake_case					, __snake_case       ):
     if not isinstance(__snake_case					, __snake_case       ):
          raise ValueError("iterations must be defined as integers"       )
     if not isinstance(__snake_case					, __snake_case       ) or not number >= 1:
          raise ValueError(
              "starting number must be\n                         and integer and be more than 0"       )
     if not iterations >= 1:
          raise ValueError("Iterations must be done more than 0 times to play FizzBuzz"       )

     __lowerCAmelCase								=					""
     while number <= iterations:
          if number % 3 == 0:
               out += "Fizz"
          if number % 5 == 0:
               out += "Buzz"
          if 0 not in (number % 3, number % 5):
               out += str(__snake_case       )

          # print(out)
          number += 1
          out += " "
     return out


if __name__ == "__main__":
 import doctest

 doctest.testmod()






