






"""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


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


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

_lowerCAmelCase            =	5_00_03
_lowerCAmelCase            =	5_00_02


@require_sentencepiece
@require_tokenizers
class      UpperCamelCase		(SCREAMING_SNAKE_CASE__						,						unittest.TestCase     ):
						_SCREAMING_SNAKE_CASE  : List[str]												=		PLBartTokenizer
						_SCREAMING_SNAKE_CASE  : List[str]												=		None
						_SCREAMING_SNAKE_CASE  : Optional[int]												=		False






						def      __snake_case      (		self  :List[str]				)      ->Optional[Any]:
										super().setUp()

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






						def      __snake_case      (		self  :Optional[Any]				)      ->List[str]:
										lowercase    :      Optional[int]       = PLBartTokenizer(__lowerCAmelCase			, language_codes="""base"""			, keep_accents=__lowerCAmelCase				)

										lowercase    :      Dict       = 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 [285, 46, 10, 170, 382]]			, )

										lowercase    :      Dict       = 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    :      List[str]       = tokenizer.convert_tokens_to_ids(__lowerCAmelCase				)
										self.assertListEqual(
										    __lowerCAmelCase			, [
										        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]
										    ]			, )

										lowercase    :      str       = 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    :      List[str]       = tokenizer.vocab_size
										lowercase    :      Optional[int]       = [tokenizer.convert_ids_to_tokens(__lowerCAmelCase				) for x in range(end - 4			, __lowerCAmelCase				)]

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

										lowercase    :      List[str]       = """java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
										lowercase    :      Dict       = tokenizer(__lowerCAmelCase				).input_ids
										self.assertEqual(
										    tokenizer.decode(__lowerCAmelCase			, skip_special_tokens=__lowerCAmelCase			, clean_up_tokenization_spaces=__lowerCAmelCase				)			, __lowerCAmelCase			, )






						def      __snake_case      (		self  :List[Any]				)      ->Dict:
										lowercase    :      Tuple       = PLBartTokenizer(__lowerCAmelCase			, language_codes="""multi"""			, keep_accents=__lowerCAmelCase				)

										lowercase    :      Tuple       = 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 [285, 46, 10, 170, 382]]			, )

										lowercase    :      Union[str, Any]       = 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    :      Union[str, Any]       = tokenizer.convert_tokens_to_ids(__lowerCAmelCase				)
										self.assertListEqual(
										    __lowerCAmelCase			, [
										        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]
										    ]			, )

										lowercase    :      List[str]       = 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    :      Optional[Any]       = tokenizer.vocab_size
										lowercase    :      str       = [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    :      Optional[Any]       = """java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
										lowercase    :      Optional[int]       = 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     ):
						_SCREAMING_SNAKE_CASE  : Any												=		'''uclanlp/plbart-python-en_XX'''
						_SCREAMING_SNAKE_CASE  : Tuple												=		[
						    '''def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])''',
						    '''def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])''',
						]
						_SCREAMING_SNAKE_CASE  : str												=		[
						    '''Returns the maximum value of a b c.''',
						    '''Sums the values of a b c.''',
						]
						_SCREAMING_SNAKE_CASE  : Any												=		[
						    134,
						    5_452,
						    33_460,
						    33_441,
						    33_463,
						    33_465,
						    33_463,
						    33_449,
						    988,
						    20,
						    33_456,
						    19,
						    33_456,
						    771,
						    39,
						    4_258,
						    889,
						    3_318,
						    33_441,
						    33_463,
						    33_465,
						    33_463,
						    33_449,
						    2_471,
						    2,
						    PYTHON_CODE,
						]






						@classmethod
						def      __snake_case      (		cls  :Dict				)      ->Dict:
										lowercase    :      PLBartTokenizer       = PLBartTokenizer.from_pretrained(
										    cls.checkpoint_name			, language_codes="""base"""			, src_lang="""python"""			, tgt_lang="""en_XX"""				)
										lowercase    :      Union[str, Any]       = 1
										return cls






						def      __snake_case      (		self  :Tuple				)      ->Union[str, Any]:
										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      __snake_case      (		self  :Tuple				)      ->Optional[Any]:
										lowercase    :      List[str]       = self.tokenizer.batch_encode_plus(self.src_text				).input_ids[0]
										self.assertListEqual(self.expected_src_tokens			, __lowerCAmelCase				)






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






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






						def      __snake_case      (		self  :Optional[Any]				)      ->Tuple:
										lowercase    :      List[str]       = tempfile.mkdtemp()
										lowercase    :      Dict       = self.tokenizer.fairseq_tokens_to_ids
										self.tokenizer.save_pretrained(__lowerCAmelCase				)
										lowercase    :      List[Any]       = PLBartTokenizer.from_pretrained(__lowerCAmelCase				)
										self.assertDictEqual(new_tok.fairseq_tokens_to_ids			, __lowerCAmelCase				)






						@require_torch
						def      __snake_case      (		self  :Dict				)      ->Dict:
										lowercase    :      Optional[int]       = self.tokenizer(self.src_text			, text_target=self.tgt_text			, padding=__lowerCAmelCase			, return_tensors="""pt"""				)
										lowercase    :      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]			, __lowerCAmelCase				)
										self.assertEqual(batch.decoder_input_ids[1][-1]			, 2				)
										self.assertEqual(batch.labels[1][-2:].tolist()			, [2, EN_CODE]				)






						@require_torch
						def      __snake_case      (		self  :Dict				)      ->List[Any]:
										lowercase    :      Tuple       = 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    :      List[str]       = 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    :      Tuple       = 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      __snake_case      (		self  :str				)      ->List[Any]:
										lowercase    :      Dict       = self.tokenizer(self.src_text			, padding=__lowerCAmelCase			, truncation=__lowerCAmelCase			, max_length=3			, return_tensors="""pt"""				)
										lowercase    :      Union[str, Any]       = self.tokenizer(
										    text_target=self.tgt_text			, padding=__lowerCAmelCase			, truncation=__lowerCAmelCase			, max_length=10			, return_tensors="""pt"""				)
										lowercase    :      List[str]       = targets["""input_ids"""]
										lowercase    :      Dict       = 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      __snake_case      (		self  :Optional[Any]				)      ->int:
										lowercase    :      Tuple       = 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""": [[150, 242, 2, 50_003]],
										        """attention_mask""": [[1, 1, 1, 1]],
										        # java
										        """forced_bos_token_id""": 50_001,
										    }			, )








'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCamelCase      					={
    "configuration_clap": [
        "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
        "ClapAudioConfig",
        "ClapConfig",
        "ClapTextConfig",
    ],
    "processing_clap": ["ClapProcessor"],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      UpperCamelCase      					=[
          "CLAP_PRETRAINED_MODEL_ARCHIVE_LIST",
          "ClapModel",
          "ClapPreTrainedModel",
          "ClapTextModel",
          "ClapTextModelWithProjection",
          "ClapAudioModel",
          "ClapAudioModelWithProjection",
      ]
      UpperCamelCase      					=["ClapFeatureExtractor"]

if TYPE_CHECKING:
      from .configuration_clap import (
          CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
          ClapAudioConfig,
          ClapConfig,
          ClapTextConfig,
      )
      from .processing_clap import ClapProcessor

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .feature_extraction_clap import ClapFeatureExtractor
            from .modeling_clap import (
                CLAP_PRETRAINED_MODEL_ARCHIVE_LIST,
                ClapAudioModel,
                ClapAudioModelWithProjection,
                ClapModel,
                ClapPreTrainedModel,
                ClapTextModel,
                ClapTextModelWithProjection,
            )


else:
      import sys

      UpperCamelCase      					=_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






