



"""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


snake_case_    					=	get_tests_dir("""fixtures/test_sentencepiece.model""")


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

snake_case_    					=	5_0003
snake_case_    					=	5_0002







@require_sentencepiece
@require_tokenizers
class 				A_      (					SCREAMING_SNAKE_CASE_     ,       unittest.TestCase    ):



      """simple docstring"""
      __UpperCamelCase		    =							PLBartTokenizer
      __UpperCamelCase		    =							None
      __UpperCamelCase		    =							False






      def      UpperCAmelCase__					( self			:Any )    ->      List[Any]:
            super().setUp()

            # We have a SentencePiece fixture for testing
            UpperCAmelCase					=			PLBartTokenizer(lowercase_       ,  language_codes='base'       ,  keep_accents=lowercase_ )
            tokenizer.save_pretrained(self.tmpdirname )






      def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      Dict:
            UpperCAmelCase					=			PLBartTokenizer(lowercase_       ,  language_codes='base'       ,  keep_accents=lowercase_ )

            UpperCAmelCase					=			tokenizer.tokenize('This is a test' )
            self.assertListEqual(lowercase_       ,  ['▁This', '▁is', '▁a', '▁t', 'est'] )

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

            UpperCAmelCase					=			tokenizer.tokenize('I was born in 92000, and this is falsé.' )
            self.assertListEqual(
                lowercase_       ,  [
                    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					=			tokenizer.convert_tokens_to_ids(lowercase_ )
            self.assertListEqual(
                lowercase_       ,  [
                    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					=			tokenizer.convert_ids_to_tokens(lowercase_ )
            self.assertListEqual(
                lowercase_       ,  [
                    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					=			tokenizer.vocab_size
            UpperCAmelCase					=			[tokenizer.convert_ids_to_tokens(lowercase_ ) for x in range(end - 4       ,  lowercase_ )]

            self.assertListEqual(lowercase_       ,  ['__java__', '__python__', '__en_XX__', '<mask>'] )

            UpperCAmelCase					=			'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
            UpperCAmelCase					=			tokenizer(lowercase_ ).input_ids
            self.assertEqual(
                tokenizer.decode(lowercase_       ,  skip_special_tokens=lowercase_       ,  clean_up_tokenization_spaces=lowercase_ )       ,  lowercase_       ,  )






      def      UpperCAmelCase__					( self			:Tuple )    ->      int:
            UpperCAmelCase					=			PLBartTokenizer(lowercase_       ,  language_codes='multi'       ,  keep_accents=lowercase_ )

            UpperCAmelCase					=			tokenizer.tokenize('This is a test' )
            self.assertListEqual(lowercase_       ,  ['▁This', '▁is', '▁a', '▁t', 'est'] )

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

            UpperCAmelCase					=			tokenizer.tokenize('I was born in 92000, and this is falsé.' )
            self.assertListEqual(
                lowercase_       ,  [
                    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					=			tokenizer.convert_tokens_to_ids(lowercase_ )
            self.assertListEqual(
                lowercase_       ,  [
                    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					=			tokenizer.convert_ids_to_tokens(lowercase_ )
            self.assertListEqual(
                lowercase_       ,  [
                    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					=			tokenizer.vocab_size
            UpperCAmelCase					=			[tokenizer.convert_ids_to_tokens(lowercase_ ) for x in range(end - 7       ,  lowercase_ )]

            self.assertListEqual(
                lowercase_       ,  ['__java__', '__python__', '__en_XX__', '__javascript__', '__php__', '__ruby__', '__go__'] )
            UpperCAmelCase					=			'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
            UpperCAmelCase					=			tokenizer(lowercase_ ).input_ids
            self.assertEqual(
                tokenizer.decode(lowercase_       ,  skip_special_tokens=lowercase_       ,  clean_up_tokenization_spaces=lowercase_ )       ,  lowercase_       ,  )







@require_torch
@require_sentencepiece
@require_tokenizers
class 				A_      (					unittest.TestCase    ):



      """simple docstring"""
      __UpperCamelCase		    =							"""uclanlp/plbart-python-en_XX"""
      __UpperCamelCase		    =							[
          """def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])""",
          """def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""",
      ]
      __UpperCamelCase		    =							[
          """Returns the maximum value of a b c.""",
          """Sums the values of a b c.""",
      ]
      __UpperCamelCase		    =							[
          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			:Any )    ->      Tuple:
            UpperCAmelCase					=			PLBartTokenizer.from_pretrained(
                cls.checkpoint_name       ,  language_codes='base'       ,  src_lang='python'       ,  tgt_lang='en_XX' )
            UpperCAmelCase					=			1
            return cls






      def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      List[Any]:
            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      UpperCAmelCase__					( self			:Any )    ->      Dict:
            UpperCAmelCase					=			self.tokenizer.batch_encode_plus(self.src_text ).input_ids[0]
            self.assertListEqual(self.expected_src_tokens       ,  lowercase_ )






      def      UpperCAmelCase__					( self			:int )    ->      Dict:
            self.assertIn(lowercase_       ,  self.tokenizer.all_special_ids )
            UpperCAmelCase					=			[EN_CODE, 90_37, 3_34_42, 57, 7_52, 1_53, 14, 56, 18, 9, 2]
            UpperCAmelCase					=			self.tokenizer.decode(lowercase_       ,  skip_special_tokens=lowercase_ )
            UpperCAmelCase					=			self.tokenizer.decode(generated_ids[1:]       ,  skip_special_tokens=lowercase_ )
            self.assertEqual(lowercase_       ,  lowercase_ )
            self.assertNotIn(self.tokenizer.eos_token       ,  lowercase_ )






      def      UpperCAmelCase__					( self			:Tuple )    ->      Any:
            UpperCAmelCase					=			['def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])' * 20]
            self.assertIsInstance(src_text[0]       ,  lowercase_ )
            UpperCAmelCase					=			10
            UpperCAmelCase					=			self.tokenizer(lowercase_       ,  max_length=lowercase_       ,  truncation=lowercase_ ).input_ids[0]
            self.assertEqual(ids[-2]       ,  2 )
            self.assertEqual(ids[-1]       ,  lowercase_ )
            self.assertEqual(len(lowercase_ )       ,  lowercase_ )






      def      UpperCAmelCase__					( self			:int )    ->      int:
            self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__'] )       ,  [5_00_04, 5_00_01] )






      def      UpperCAmelCase__					( self			:Union[str, Any] )    ->      Tuple:
            UpperCAmelCase					=			tempfile.mkdtemp()
            UpperCAmelCase					=			self.tokenizer.fairseq_tokens_to_ids
            self.tokenizer.save_pretrained(lowercase_ )
            UpperCAmelCase					=			PLBartTokenizer.from_pretrained(lowercase_ )
            self.assertDictEqual(new_tok.fairseq_tokens_to_ids       ,  lowercase_ )






      @require_torch
      def      UpperCAmelCase__					( self			:int )    ->      List[Any]:
            UpperCAmelCase					=			self.tokenizer(self.src_text       ,  text_target=self.tgt_text       ,  padding=lowercase_       ,  return_tensors='pt' )
            UpperCAmelCase					=			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]       ,  lowercase_ )
            self.assertEqual(batch.decoder_input_ids[1][-1]       ,  2 )
            self.assertEqual(batch.labels[1][-2:].tolist()       ,  [2, EN_CODE] )






      @require_torch
      def      UpperCAmelCase__					( self			:str )    ->      int:
            UpperCAmelCase					=			self.tokenizer(
                self.src_text       ,  text_target=self.tgt_text       ,  padding=lowercase_       ,  truncation=lowercase_       ,  max_length=len(self.expected_src_tokens )       ,  return_tensors='pt'       ,  )
            UpperCAmelCase					=			shift_tokens_right(batch['labels']       ,  self.tokenizer.pad_token_id )

            self.assertIsInstance(lowercase_       ,  lowercase_ )

            self.assertEqual((2, 26)       ,  batch.input_ids.shape )
            self.assertEqual((2, 26)       ,  batch.attention_mask.shape )
            UpperCAmelCase					=			batch.input_ids.tolist()[0]
            self.assertListEqual(self.expected_src_tokens       ,  lowercase_ )
            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			:int )    ->      List[Any]:
            UpperCAmelCase					=			self.tokenizer(self.src_text       ,  padding=lowercase_       ,  truncation=lowercase_       ,  max_length=3       ,  return_tensors='pt' )
            UpperCAmelCase					=			self.tokenizer(
                text_target=self.tgt_text       ,  padding=lowercase_       ,  truncation=lowercase_       ,  max_length=10       ,  return_tensors='pt' )
            UpperCAmelCase					=			targets['input_ids']
            UpperCAmelCase					=			shift_tokens_right(lowercase_       ,  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			:Union[str, Any] )    ->      List[Any]:
            UpperCAmelCase					=			self.tokenizer._build_translation_inputs(
                'A test'       ,  return_tensors='pt'       ,  src_lang='en_XX'       ,  tgt_lang='java' )

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










"""simple docstring"""


import importlib
import json
import os
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
import transformers.models.auto
from transformers.models.auto.configuration_auto import CONFIG_MAPPING, AutoConfig
from transformers.models.bert.configuration_bert import BertConfig
from transformers.models.roberta.configuration_roberta import RobertaConfig
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER, get_tests_dir


sys.path.append(str(Path(__file__).parent.parent.parent.parent / """utils"""))

from test_module.custom_configuration import CustomConfig  # noqa E402


snake_case_    					=	get_tests_dir("""fixtures/dummy-config.json""")







class 				A_      (					unittest.TestCase    ):



						"""simple docstring"""






						def      UpperCAmelCase__					( self			:int )    ->      Optional[Any]:
												UpperCAmelCase					=			0






						def      UpperCAmelCase__					( self			:List[str] )    ->      str:
												self.assertIsNotNone(transformers.models.auto.__spec__ )
												self.assertIsNotNone(importlib.util.find_spec('transformers.models.auto' ) )






						def      UpperCAmelCase__					( self			:List[Any] )    ->      List[str]:
												UpperCAmelCase					=			AutoConfig.from_pretrained('bert-base-uncased' )
												self.assertIsInstance(lowercase_       ,  lowercase_ )






						def      UpperCAmelCase__					( self			:Optional[int] )    ->      int:
												UpperCAmelCase					=			AutoConfig.from_pretrained(lowercase_ )
												self.assertIsInstance(lowercase_       ,  lowercase_ )






						def      UpperCAmelCase__					( self			:int )    ->      Any:
												UpperCAmelCase					=			AutoConfig.from_pretrained(lowercase_ )
												self.assertIsInstance(lowercase_       ,  lowercase_ )






						def      UpperCAmelCase__					( self			:Optional[Any] )    ->      List[str]:
												UpperCAmelCase					=			AutoConfig.for_model('roberta' )
												self.assertIsInstance(lowercase_       ,  lowercase_ )






						def      UpperCAmelCase__					( self			:str )    ->      List[str]:
												with tempfile.TemporaryDirectory() as tmp_dir:
																		# This model name contains bert and roberta, but roberta ends up being picked.
																		UpperCAmelCase					=			os.path.join(lowercase_       ,  'fake-roberta' )
																		os.makedirs(lowercase_       ,  exist_ok=lowercase_ )
																		with open(os.path.join(lowercase_       ,  'config.json' )       ,  'w' ) as f:
																								f.write(json.dumps({} ) )
																		UpperCAmelCase					=			AutoConfig.from_pretrained(lowercase_ )
																		self.assertEqual(type(lowercase_ )       ,  lowercase_ )






						def      UpperCAmelCase__					( self			:int )    ->      Union[str, Any]:
												try:
																		AutoConfig.register('custom'       ,  lowercase_ )
																		# Wrong model type will raise an error
																		with self.assertRaises(lowercase_ ):
																								AutoConfig.register('model'       ,  lowercase_ )
																		# Trying to register something existing in the Transformers library will raise an error
																		with self.assertRaises(lowercase_ ):
																								AutoConfig.register('bert'       ,  lowercase_ )

																		# Now that the config is registered, it can be used as any other config with the auto-API
																		UpperCAmelCase					=			CustomConfig()
																		with tempfile.TemporaryDirectory() as tmp_dir:
																								config.save_pretrained(lowercase_ )
																								UpperCAmelCase					=			AutoConfig.from_pretrained(lowercase_ )
																								self.assertIsInstance(lowercase_       ,  lowercase_ )

												finally:
																		if "custom" in CONFIG_MAPPING._extra_content:
																								del CONFIG_MAPPING._extra_content["custom"]






						def      UpperCAmelCase__					( self			:str )    ->      Dict:
												with self.assertRaisesRegex(
												    lowercase_       ,  'bert-base is not a local folder and is not a valid model identifier' ):
																		UpperCAmelCase					=			AutoConfig.from_pretrained('bert-base' )






						def      UpperCAmelCase__					( self			:List[Any] )    ->      Optional[int]:
												with self.assertRaisesRegex(
												    lowercase_       ,  R'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)' ):
																		UpperCAmelCase					=			AutoConfig.from_pretrained(lowercase_       ,  revision='aaaaaa' )






						def      UpperCAmelCase__					( self			:List[str] )    ->      str:
												with self.assertRaisesRegex(
												    lowercase_       ,  'hf-internal-testing/no-config-test-repo does not appear to have a file named config.json.'       ,  ):
																		UpperCAmelCase					=			AutoConfig.from_pretrained('hf-internal-testing/no-config-test-repo' )






						def      UpperCAmelCase__					( self			:str )    ->      int:
												# If remote code is not set, we will time out when asking whether to load the model.
												with self.assertRaises(lowercase_ ):
																		UpperCAmelCase					=			AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model' )
												# If remote code is disabled, we can't load this config.
												with self.assertRaises(lowercase_ ):
																		UpperCAmelCase					=			AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'       ,  trust_remote_code=lowercase_ )

												UpperCAmelCase					=			AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'       ,  trust_remote_code=lowercase_ )
												self.assertEqual(config.__class__.__name__       ,  'NewModelConfig' )

												# Test config can be reloaded.
												with tempfile.TemporaryDirectory() as tmp_dir:
																		config.save_pretrained(lowercase_ )
																		UpperCAmelCase					=			AutoConfig.from_pretrained(lowercase_       ,  trust_remote_code=lowercase_ )
												self.assertEqual(reloaded_config.__class__.__name__       ,  'NewModelConfig' )






						def      UpperCAmelCase__					( self			:List[Any] )    ->      Optional[int]:







												class 				A_      (					SCREAMING_SNAKE_CASE_    ):



																		"""simple docstring"""
																		__UpperCamelCase		    =							"""new-model"""

												try:
																		AutoConfig.register('new-model'       ,  lowercase_ )
																		# If remote code is not set, the default is to use local
																		UpperCAmelCase					=			AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model' )
																		self.assertEqual(config.__class__.__name__       ,  'NewModelConfigLocal' )

																		# If remote code is disabled, we load the local one.
																		UpperCAmelCase					=			AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'       ,  trust_remote_code=lowercase_ )
																		self.assertEqual(config.__class__.__name__       ,  'NewModelConfigLocal' )

																		# If remote is enabled, we load from the Hub
																		UpperCAmelCase					=			AutoConfig.from_pretrained('hf-internal-testing/test_dynamic_model'       ,  trust_remote_code=lowercase_ )
																		self.assertEqual(config.__class__.__name__       ,  'NewModelConfig' )

												finally:
																		if "new-model" in CONFIG_MAPPING._extra_content:
																								del CONFIG_MAPPING._extra_content["new-model"]





