




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


__UpperCamelCase   :			List[Any]          = get_tests_dir("fixtures/test_sentencepiece.model")


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

__UpperCamelCase   :			Union[str, Any]          = 50_003
__UpperCamelCase   :			List[Any]          = 50_002

@require_sentencepiece
@require_tokenizers
class 						__lowerCAmelCase      (      __magic_name__ ,			unittest.TestCase					):
							UpperCamelCase__   	=    PLBartTokenizer
							UpperCamelCase__   	=    None
							UpperCamelCase__   	=    False
							def  lowerCamelCase__				(		self		:Union[str, Any]							):







								'''simple docstring'''







								super().setUp()

								# We have a SentencePiece fixture for testing
								a									=				PLBartTokenizer(__magic_name__						, language_codes="""base"""						, keep_accents=__magic_name__							)
								tokenizer.save_pretrained(self.tmpdirname							)
							def  lowerCamelCase__				(		self		:Dict							):







								'''simple docstring'''







								a									=				PLBartTokenizer(__magic_name__						, language_codes="""base"""						, keep_accents=__magic_name__							)

								a									=				tokenizer.tokenize("""This is a test"""							)
								self.assertListEqual(__magic_name__						, ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]							)

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(__magic_name__							)						, [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]						, )

								a									=				tokenizer.tokenize("""I was born in 92000, and this is falsé."""							)
								self.assertListEqual(
								    __magic_name__						, [
								        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""",
								        """.""",
								    ]						, )
								a									=				tokenizer.convert_tokens_to_ids(__magic_name__							)
								self.assertListEqual(
								    __magic_name__						, [
								        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]
								    ]						, )

								a									=				tokenizer.convert_ids_to_tokens(__magic_name__							)
								self.assertListEqual(
								    __magic_name__						, [
								        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>""",
								        """.""",
								    ]						, )

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

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

								a									=				"""java.lang.Exception, python.lang.Exception, javascript, php, ruby, go"""
								a									=				tokenizer(__magic_name__							).input_ids
								self.assertEqual(
								    tokenizer.decode(__magic_name__						, skip_special_tokens=__magic_name__						, clean_up_tokenization_spaces=__magic_name__							)						, __magic_name__						, )





							def  lowerCamelCase__				(		self		:List[str]							):







								'''simple docstring'''







								a									=				PLBartTokenizer(__magic_name__						, language_codes="""multi"""						, keep_accents=__magic_name__							)

								a									=				tokenizer.tokenize("""This is a test"""							)
								self.assertListEqual(__magic_name__						, ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]							)

								self.assertListEqual(
								    tokenizer.convert_tokens_to_ids(__magic_name__							)						, [value + tokenizer.fairseq_offset for value in [285, 46, 10, 170, 382]]						, )

								a									=				tokenizer.tokenize("""I was born in 92000, and this is falsé."""							)
								self.assertListEqual(
								    __magic_name__						, [
								        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""",
								        """.""",
								    ]						, )
								a									=				tokenizer.convert_tokens_to_ids(__magic_name__							)
								self.assertListEqual(
								    __magic_name__						, [
								        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]
								    ]						, )

								a									=				tokenizer.convert_ids_to_tokens(__magic_name__							)
								self.assertListEqual(
								    __magic_name__						, [
								        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>""",
								        """.""",
								    ]						, )
								a									=				tokenizer.vocab_size
								a									=				[tokenizer.convert_ids_to_tokens(__magic_name__							) for x in range(end - 7						, __magic_name__							)]

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







@require_torch
@require_sentencepiece
@require_tokenizers
class 						__lowerCAmelCase      (      unittest.TestCase					):
							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__   	=    [
							    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  lowerCamelCase__				(		cls		:List[str]							):







								'''simple docstring'''







								a									=				PLBartTokenizer.from_pretrained(
								    cls.checkpoint_name						, language_codes="""base"""						, src_lang="""python"""						, tgt_lang="""en_XX"""							)
								a									=				1
								return cls
							def  lowerCamelCase__				(		self		:str							):







								'''simple docstring'''







								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__java__"""]						, 5_0001							)
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__python__"""]						, 5_0002							)
								self.assertEqual(self.tokenizer.fairseq_tokens_to_ids["""__en_XX__"""]						, 5_0003							)
							def  lowerCamelCase__				(		self		:int							):







								'''simple docstring'''







								a									=				self.tokenizer.batch_encode_plus(self.src_text							).input_ids[0]
								self.assertListEqual(self.expected_src_tokens						, __magic_name__							)
							def  lowerCamelCase__				(		self		:List[str]							):







								'''simple docstring'''







								self.assertIn(__magic_name__						, self.tokenizer.all_special_ids							)
								a									=				[EN_CODE, 9037, 3_3442, 57, 752, 153, 14, 56, 18, 9, 2]
								a									=				self.tokenizer.decode(__magic_name__						, skip_special_tokens=__magic_name__							)
								a									=				self.tokenizer.decode(generated_ids[1:]						, skip_special_tokens=__magic_name__							)
								self.assertEqual(__magic_name__						, __magic_name__							)
								self.assertNotIn(self.tokenizer.eos_token						, __magic_name__							)
							def  lowerCamelCase__				(		self		:str							):







								'''simple docstring'''







								a									=				["""def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""" * 20]
								self.assertIsInstance(src_text[0]						, __magic_name__							)
								a									=				10
								a									=				self.tokenizer(__magic_name__						, max_length=__magic_name__						, truncation=__magic_name__							).input_ids[0]
								self.assertEqual(ids[-2]						, 2							)
								self.assertEqual(ids[-1]						, __magic_name__							)
								self.assertEqual(len(__magic_name__							)						, __magic_name__							)
							def  lowerCamelCase__				(		self		:Dict							):







								'''simple docstring'''







								self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["""<mask>""", """__java__"""]							)						, [5_0004, 5_0001]							)
							def  lowerCamelCase__				(		self		:Tuple							):







								'''simple docstring'''







								a									=				tempfile.mkdtemp()
								a									=				self.tokenizer.fairseq_tokens_to_ids
								self.tokenizer.save_pretrained(__magic_name__							)
								a									=				PLBartTokenizer.from_pretrained(__magic_name__							)
								self.assertDictEqual(new_tok.fairseq_tokens_to_ids						, __magic_name__							)
							@require_torch
							def  lowerCamelCase__				(		self		:Optional[Any]							):







								'''simple docstring'''







								a									=				self.tokenizer(self.src_text						, text_target=self.tgt_text						, padding=__magic_name__						, return_tensors="""pt"""							)
								a									=				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]						, __magic_name__							)
								self.assertEqual(batch.decoder_input_ids[1][-1]						, 2							)
								self.assertEqual(batch.labels[1][-2:].tolist()						, [2, EN_CODE]							)
							@require_torch
							def  lowerCamelCase__				(		self		:List[str]							):







								'''simple docstring'''







								a									=				self.tokenizer(
								    self.src_text						, text_target=self.tgt_text						, padding=__magic_name__						, truncation=__magic_name__						, max_length=len(self.expected_src_tokens							)						, return_tensors="""pt"""						, )
								a									=				shift_tokens_right(batch["""labels"""]						, self.tokenizer.pad_token_id							)

								self.assertIsInstance(__magic_name__						, __magic_name__							)

								self.assertEqual((2, 26)						, batch.input_ids.shape							)
								self.assertEqual((2, 26)						, batch.attention_mask.shape							)
								a									=				batch.input_ids.tolist()[0]
								self.assertListEqual(self.expected_src_tokens						, __magic_name__							)
								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		:Union[str, Any]							):







								'''simple docstring'''







								a									=				self.tokenizer(self.src_text						, padding=__magic_name__						, truncation=__magic_name__						, max_length=3						, return_tensors="""pt"""							)
								a									=				self.tokenizer(
								    text_target=self.tgt_text						, padding=__magic_name__						, truncation=__magic_name__						, max_length=10						, return_tensors="""pt"""							)
								a									=				targets["""input_ids"""]
								a									=				shift_tokens_right(__magic_name__						, 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		:List[str]							):







								'''simple docstring'''







								a									=				self.tokenizer._build_translation_inputs(
								    """A test"""						, return_tensors="""pt"""						, src_lang="""en_XX"""						, tgt_lang="""java"""							)

								self.assertEqual(
								    nested_simplify(__magic_name__							)						, {
								        # A, test, EOS, en_XX
								        """input_ids""": [[150, 242, 2, 5_0003]],
								        """attention_mask""": [[1, 1, 1, 1]],
								        # java
								        """forced_bos_token_id""": 5_0001,
								    }						, )







import os





def 						__A						(      ) ->			Dict:
	with open(os.path.dirname(__lowerCamelCase       ) + """/p022_names.txt"""       ) as file:
		a									=				str(file.readlines()[0]       )
		a									=				names.replace("""\""""				,     """"""       ).split(""","""       )

	names.sort()

	a									=				0
	a									=				0

	for i, name in enumerate(__lowerCamelCase       ):
		for letter in name:
			name_score += ord(__lowerCamelCase       ) - 64

		total_score += (i + 1) * name_score
		a									=				0
	return total_score


if __name__ == "__main__":
		print(solution())

