
'''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


lowercase    :							str      =					get_tests_dir("fixtures/test_sentencepiece.model")


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

lowercase    :							str      =					5_0003
lowercase    :							Dict      =					5_0002


@require_sentencepiece
@require_tokenizers
class 						__UpperCAmelCase      (					_lowerCamelCase						,   unittest.TestCase						):
							__lowercase      		=       PLBartTokenizer
							__lowercase      		=       None
							__lowercase      		=       False


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								super().setUp()

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


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		PLBartTokenizer(lowerCAmelCase_    ,   language_codes='base'    ,   keep_accents=lowerCAmelCase_  )

								_snake_case   						=		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_85, 46, 10, 1_70, 3_82]]    ,   )

								_snake_case   						=		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',
								        '.',
								    ]    ,   )
								_snake_case   						=		tokenizer.convert_tokens_to_ids(lowerCAmelCase_  )
								self.assertListEqual(
								    lowerCAmelCase_    ,   [
								        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]
								    ]    ,   )

								_snake_case   						=		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>',
								        '.',
								    ]    ,   )

								_snake_case   						=		tokenizer.vocab_size
								_snake_case   						=		[tokenizer.convert_ids_to_tokens(lowerCAmelCase_  ) for x in range(end - 4    ,   lowerCAmelCase_  )]

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

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




							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		PLBartTokenizer(lowerCAmelCase_    ,   language_codes='multi'    ,   keep_accents=lowerCAmelCase_  )

								_snake_case   						=		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_85, 46, 10, 1_70, 3_82]]    ,   )

								_snake_case   						=		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',
								        '.',
								    ]    ,   )
								_snake_case   						=		tokenizer.convert_tokens_to_ids(lowerCAmelCase_  )
								self.assertListEqual(
								    lowerCAmelCase_    ,   [
								        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]
								    ]    ,   )

								_snake_case   						=		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>',
								        '.',
								    ]    ,   )
								_snake_case   						=		tokenizer.vocab_size
								_snake_case   						=		[tokenizer.convert_ids_to_tokens(lowerCAmelCase_  ) for x in range(end - 7    ,   lowerCAmelCase_  )]

								self.assertListEqual(
								    lowerCAmelCase_    ,   ['__java__', '__python__', '__en_XX__', '__javascript__', '__php__', '__ruby__', '__go__']  )
								_snake_case   						=		'java.lang.Exception, python.lang.Exception, javascript, php, ruby, go'
								_snake_case   						=		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						):
							__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  lowerCamelCase				(       cls  ):





								"""simple docstring"""






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


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer.batch_encode_plus(self.src_text  ).input_ids[0]
								self.assertListEqual(self.expected_src_tokens    ,   lowerCAmelCase_  )


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								self.assertIn(lowerCAmelCase_    ,   self.tokenizer.all_special_ids  )
								_snake_case   						=		[EN_CODE, 90_37, 3_34_42, 57, 7_52, 1_53, 14, 56, 18, 9, 2]
								_snake_case   						=		self.tokenizer.decode(lowerCAmelCase_    ,   skip_special_tokens=lowerCAmelCase_  )
								_snake_case   						=		self.tokenizer.decode(generated_ids[1:]    ,   skip_special_tokens=lowerCAmelCase_  )
								self.assertEqual(lowerCAmelCase_    ,   lowerCAmelCase_  )
								self.assertNotIn(self.tokenizer.eos_token    ,   lowerCAmelCase_  )


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		['def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])' * 20]
								self.assertIsInstance(src_text[0]    ,   lowerCAmelCase_  )
								_snake_case   						=		10
								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								self.assertListEqual(self.tokenizer.convert_tokens_to_ids(['<mask>', '__java__']  )    ,   [5_00_04, 5_00_01]  )


							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		tempfile.mkdtemp()
								_snake_case   						=		self.tokenizer.fairseq_tokens_to_ids
								self.tokenizer.save_pretrained(lowerCAmelCase_  )
								_snake_case   						=		PLBartTokenizer.from_pretrained(lowerCAmelCase_  )
								self.assertDictEqual(new_tok.fairseq_tokens_to_ids    ,   lowerCAmelCase_  )


							@require_torch
							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer(self.src_text    ,   text_target=self.tgt_text    ,   padding=lowerCAmelCase_    ,   return_tensors='pt'  )
								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer(
								    self.src_text    ,   text_target=self.tgt_text    ,   padding=lowerCAmelCase_    ,   truncation=lowerCAmelCase_    ,   max_length=len(self.expected_src_tokens  )    ,   return_tensors='pt'    ,   )
								_snake_case   						=		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  )
								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		self.tokenizer(self.src_text    ,   padding=lowerCAmelCase_    ,   truncation=lowerCAmelCase_    ,   max_length=3    ,   return_tensors='pt'  )
								_snake_case   						=		self.tokenizer(
								    text_target=self.tgt_text    ,   padding=lowerCAmelCase_    ,   truncation=lowerCAmelCase_    ,   max_length=10    ,   return_tensors='pt'  )
								_snake_case   						=		targets['input_ids']
								_snake_case   						=		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  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		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_50, 2_42, 2, 5_00_03]],
								        'attention_mask': [[1, 1, 1, 1]],
								        # java
								        'forced_bos_token_id': 5_00_01,
								    }    ,   )



'''simple docstring'''







import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_sentencepiece, require_tokenizers, require_torch, slow, torch_device


if is_torch_available():
					from transformers import AutoModelForSeqaSeqLM, AutoTokenizer


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


							@slow
							def  lowerCamelCase				(       self  ):





								"""simple docstring"""






								_snake_case   						=		AutoModelForSeqaSeqLM.from_pretrained('google/mt5-small'    ,   return_dict=lowerCAmelCase_  ).to(lowerCAmelCase_  )
								_snake_case   						=		AutoTokenizer.from_pretrained('google/mt5-small'  )

								_snake_case   						=		tokenizer('Hello there'    ,   return_tensors='pt'  ).input_ids
								_snake_case   						=		tokenizer('Hi I am'    ,   return_tensors='pt'  ).input_ids

								_snake_case   						=		model(input_ids.to(lowerCAmelCase_  )    ,   labels=labels.to(lowerCAmelCase_  )  ).loss
								_snake_case   						=		-(labels.shape[-1] * loss.item())

								_snake_case   						=		-84.9127
								self.assertTrue(abs(mtf_score - EXPECTED_SCORE  ) < 1E-4  )

