


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      :str	    =		50_003
__lowerCamelCase      :int	    =		50_002


@require_sentencepiece
@require_tokenizers
class 			A__	(						__lowercase ,     unittest.TestCase):


     """simple docstring"""
     snake_case__	:					List[str]													=PLBartTokenizer
     snake_case__	:					Any													=None
     snake_case__	:					Dict													=False

     def 		a__						(	self:						int	)->    Tuple:
           super().setUp()

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

     def 		a__						(	self:						int	)->    str:
           lowerCamelCase					:					Optional[Any]        =	PLBartTokenizer(__a     ,		language_codes="""base"""     ,		keep_accents=__a	)

           lowerCamelCase					:					List[str]        =	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]]     ,		)

           lowerCamelCase					:					Optional[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""",
                   """.""",
               ]     ,		)
           lowerCamelCase					:					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]
               ]     ,		)

           lowerCamelCase					:					Dict        =	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>""",
                   """.""",
               ]     ,		)

           lowerCamelCase					:					List[Any]        =	tokenizer.vocab_size
           lowerCamelCase					:					str        =	[tokenizer.convert_ids_to_tokens(__a	) for x in range(end - 4     ,		__a	)]

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

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







     def 		a__						(	self:						Optional[int]	)->    Optional[int]:
           lowerCamelCase					:					Optional[Any]        =	PLBartTokenizer(__a     ,		language_codes="""multi"""     ,		keep_accents=__a	)

           lowerCamelCase					:					Optional[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]]     ,		)

           lowerCamelCase					:					int        =	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""",
                   """.""",
               ]     ,		)
           lowerCamelCase					:					Optional[Any]        =	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]
               ]     ,		)

           lowerCamelCase					:					str        =	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>""",
                   """.""",
               ]     ,		)
           lowerCamelCase					:					Tuple        =	tokenizer.vocab_size
           lowerCamelCase					:					int        =	[tokenizer.convert_ids_to_tokens(__a	) for x in range(end - 7     ,		__a	)]

           self.assertListEqual(
               __a     ,		["""__java__""", """__python__""", """__en_XX__""", """__javascript__""", """__php__""", """__ruby__""", """__go__"""]	)
           lowerCamelCase					:					Tuple        =	"""java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
           lowerCamelCase					:					List[Any]        =	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 			A__	(						unittest.TestCase):


     """simple docstring"""
     snake_case__	:					Optional[int]													='''uclanlp/plbart-python-en_XX'''
     snake_case__	:					str													=[
         '''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__	:					Dict													=[
         '''Returns the maximum value of a b c.''',
         '''Sums the values of a b c.''',
     ]
     snake_case__	:					Tuple													=[
         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 		a__						(	cls:						Any	)->    Optional[Any]:
           lowerCamelCase					:					PLBartTokenizer        =	PLBartTokenizer.from_pretrained(
               cls.checkpoint_name     ,		language_codes="""base"""     ,		src_lang="""python"""     ,		tgt_lang="""en_XX"""	)
           lowerCamelCase					:					int        =	1
           return cls

     def 		a__						(	self:						Tuple	)->    str:
           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 		a__						(	self:						List[str]	)->    Tuple:
           lowerCamelCase					:					Any        =	self.tokenizer.batch_encode_plus(self.src_text	).input_ids[0]
           self.assertListEqual(self.expected_src_tokens     ,		__a	)

     def 		a__						(	self:						Optional[int]	)->    Tuple:
           self.assertIn(__a     ,		self.tokenizer.all_special_ids	)
           lowerCamelCase					:					List[str]        =	[EN_CODE, 9_037, 33_442, 57, 752, 153, 14, 56, 18, 9, 2]
           lowerCamelCase					:					int        =	self.tokenizer.decode(__a     ,		skip_special_tokens=__a	)
           lowerCamelCase					:					List[str]        =	self.tokenizer.decode(generated_ids[1:]     ,		skip_special_tokens=__a	)
           self.assertEqual(__a     ,		__a	)
           self.assertNotIn(self.tokenizer.eos_token     ,		__a	)

     def 		a__						(	self:						Union[str, Any]	)->    Tuple:
           lowerCamelCase					:					List[Any]        =	["""def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""" * 20]
           self.assertIsInstance(src_text[0]     ,		__a	)
           lowerCamelCase					:					Dict        =	10
           lowerCamelCase					:					str        =	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 		a__						(	self:						Optional[Any]	)->    int:
           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """__java__"""]	)     ,		[50_004, 50_001]	)

     def 		a__						(	self:						int	)->    Dict:
           lowerCamelCase					:					Optional[Any]        =	tempfile.mkdtemp()
           lowerCamelCase					:					Optional[Any]        =	self.tokenizer.fairseq_tokens_to_ids
           self.tokenizer.save_pretrained(__a	)
           lowerCamelCase					:					str        =	PLBartTokenizer.from_pretrained(__a	)
           self.assertDictEqual(new_tok.fairseq_tokens_to_ids     ,		__a	)

     @require_torch
     def 		a__						(	self:						Optional[Any]	)->    Optional[Any]:
           lowerCamelCase					:					Optional[int]        =	self.tokenizer(self.src_text     ,		text_target=self.tgt_text     ,		padding=__a     ,		return_tensors="""pt"""	)
           lowerCamelCase					:					int        =	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 		a__						(	self:						Optional[int]	)->    List[str]:
           lowerCamelCase					:					Tuple        =	self.tokenizer(
               self.src_text     ,		text_target=self.tgt_text     ,		padding=__a     ,		truncation=__a     ,		max_length=len(self.expected_src_tokens	)     ,		return_tensors="""pt"""     ,		)
           lowerCamelCase					:					Tuple        =	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	)
           lowerCamelCase					:					List[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 		a__						(	self:						Optional[int]	)->    List[str]:
           lowerCamelCase					:					Dict        =	self.tokenizer(self.src_text     ,		padding=__a     ,		truncation=__a     ,		max_length=3     ,		return_tensors="""pt"""	)
           lowerCamelCase					:					List[str]        =	self.tokenizer(
               text_target=self.tgt_text     ,		padding=__a     ,		truncation=__a     ,		max_length=10     ,		return_tensors="""pt"""	)
           lowerCamelCase					:					Optional[int]        =	targets["""input_ids"""]
           lowerCamelCase					:					int        =	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 		a__						(	self:						List[Any]	)->    Any:
           lowerCamelCase					:					List[str]        =	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"""


__lowerCamelCase      :List[Any]	    =		{0: [2, 3], 1: [0], 2: [1], 3: [4], 4: []}

__lowerCamelCase      :Union[str, Any]	    =		{0: [1, 2, 3], 1: [2], 2: [0], 3: [4], 4: [5], 5: [3]}




def   snake_case		(     UpperCamelCase__       :						dict[int, list[int]]			,				UpperCamelCase__       :						int			,				UpperCamelCase__       :						list[bool]    )   ->      list[int]:
      lowerCamelCase					:					Tuple        =	True
      lowerCamelCase					:					Any        =	[]

      for neighbour in graph[vert]:
            if not visited[neighbour]:
                  order += topology_sort(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )

      order.append(UpperCamelCase__    )

      return order




def   snake_case		(     UpperCamelCase__       :						dict[int, list[int]]			,				UpperCamelCase__       :						int			,				UpperCamelCase__       :						list[bool]    )   ->      list[int]:
      lowerCamelCase					:					List[Any]        =	True
      lowerCamelCase					:					int        =	[vert]

      for neighbour in reversed_graph[vert]:
            if not visited[neighbour]:
                  component += find_components(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )

      return component






def   snake_case		(     UpperCamelCase__       :						dict[int, list[int]]    )   ->      list[list[int]]:
      lowerCamelCase					:					int        =	len(UpperCamelCase__    ) * [False]
      lowerCamelCase					:					dict[int, list[int]]        =	{vert: [] for vert in range(len(UpperCamelCase__    )    )}

      for vert, neighbours in graph.items():
            for neighbour in neighbours:
                  reversed_graph[neighbour].append(UpperCamelCase__    )

      lowerCamelCase					:					int        =	[]
      for i, was_visited in enumerate(UpperCamelCase__    ):
            if not was_visited:
                  order += topology_sort(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )

      lowerCamelCase					:					Tuple        =	[]
      lowerCamelCase					:					str        =	len(UpperCamelCase__    ) * [False]

      for i in range(len(UpperCamelCase__    )    ):
            lowerCamelCase					:					Any        =	order[len(UpperCamelCase__    ) - i - 1]
            if not visited[vert]:
                  lowerCamelCase					:					List[str]        =	find_components(UpperCamelCase__			,				UpperCamelCase__			,				UpperCamelCase__    )
                  components_list.append(UpperCamelCase__    )

      return components_list




