




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


SCREAMING_SNAKE_CASE__			: List[Any]    =  get_tests_dir('fixtures/test_sentencepiece.model')


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

SCREAMING_SNAKE_CASE__			: Optional[int]    =  50003
SCREAMING_SNAKE_CASE__			: Union[str, Any]    =  50002




@require_sentencepiece
@require_tokenizers
class 						UpperCamelCase__      (_lowerCamelCase       ,							unittest.TestCase	):

    '''simple docstring'''



    lowerCamelCase_ :      Optional[Any]      	= PLBartTokenizer
    lowerCamelCase_ :      Union[str, Any]      	= None
    lowerCamelCase_ :      Dict      	= False







    def        _lowercase	(       self	)	-> Any:
           super().setUp()

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







    def        _lowercase	(       self	)	-> List[str]:
           lowerCamelCase  : int     					=   PLBartTokenizer(lowercase_	,    language_codes="base"	,    keep_accents=lowercase_	)

           lowerCamelCase  : Union[str, Any]     					=   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 [285, 46, 10, 170, 382]]	,    )

           lowerCamelCase  : List[Any]     					=   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",
                   ".",
               ]	,    )
           lowerCamelCase  : Tuple     					=   tokenizer.convert_tokens_to_ids(lowercase_	)
           self.assertListEqual(
               lowercase_	,    [
                   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  : Union[str, Any]     					=   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>",
                   ".",
               ]	,    )

           lowerCamelCase  : Dict     					=   tokenizer.vocab_size
           lowerCamelCase  : Optional[Any]     					=   [tokenizer.convert_ids_to_tokens(lowercase_	) for x in range(end - 4	,    lowercase_	)]

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

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







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

           lowerCamelCase  : List[Any]     					=   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 [285, 46, 10, 170, 382]]	,    )

           lowerCamelCase  : int     					=   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",
                   ".",
               ]	,    )
           lowerCamelCase  : int     					=   tokenizer.convert_tokens_to_ids(lowercase_	)
           self.assertListEqual(
               lowercase_	,    [
                   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  : Optional[Any]     					=   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>",
                   ".",
               ]	,    )
           lowerCamelCase  : str     					=   tokenizer.vocab_size
           lowerCamelCase  : List[Any]     					=   [tokenizer.convert_ids_to_tokens(lowercase_	) for x in range(end - 7	,    lowercase_	)]

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

    '''simple docstring'''



    lowerCamelCase_ :      Optional[Any]      	= """uclanlp/plbart-python-en_XX"""
    lowerCamelCase_ :      int      	= [
        """def maximum(a,b,c):NEW_LINE_INDENTreturn max([a,b,c])""",
        """def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])""",
    ]
    lowerCamelCase_ :      List[str]      	= [
        """Returns the maximum value of a b c.""",
        """Sums the values of a b c.""",
    ]
    lowerCamelCase_ :      List[Any]      	= [
        1_3_4,
        5_4_5_2,
        3_3_4_6_0,
        3_3_4_4_1,
        3_3_4_6_3,
        3_3_4_6_5,
        3_3_4_6_3,
        3_3_4_4_9,
        9_8_8,
        2_0,
        3_3_4_5_6,
        1_9,
        3_3_4_5_6,
        7_7_1,
        3_9,
        4_2_5_8,
        8_8_9,
        3_3_1_8,
        3_3_4_4_1,
        3_3_4_6_3,
        3_3_4_6_5,
        3_3_4_6_3,
        3_3_4_4_9,
        2_4_7_1,
        2,
        PYTHON_CODE,
    ]







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







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







    def        _lowercase	(       self	)	-> Dict:
           self.assertIn(lowercase_	,    self.tokenizer.all_special_ids	)
           lowerCamelCase  : int     					=   [EN_CODE, 9037, 3_3442, 57, 752, 153, 14, 56, 18, 9, 2]
           lowerCamelCase  : Any     					=   self.tokenizer.decode(lowercase_	,    skip_special_tokens=lowercase_	)
           lowerCamelCase  : List[str]     					=   self.tokenizer.decode(generated_ids[1:]	,    skip_special_tokens=lowercase_	)
           self.assertEqual(lowercase_	,    lowercase_	)
           self.assertNotIn(self.tokenizer.eos_token	,    lowercase_	)







    def        _lowercase	(       self	)	-> Tuple:
           lowerCamelCase  : Any     					=   ["def sum(a,b,c):NEW_LINE_INDENTreturn sum([a,b,c])" * 20]
           self.assertIsInstance(src_text[0]	,    lowercase_	)
           lowerCamelCase  : Union[str, Any]     					=   10
           lowerCamelCase  : str     					=   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        _lowercase	(       self	)	-> Union[str, Any]:
           self.assertListEqual(self.tokenizer.convert_tokens_to_ids(["<mask>", "__java__"]	)	,    [5_0004, 5_0001]	)







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







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












'''simple docstring'''

from numpy import exp, pi, sqrt


def 						__magic_name__       (      __UpperCAmelCase, __UpperCAmelCase = 0.0, __UpperCAmelCase = 1.0      )						->   int:

					'''simple docstring'''

					return 1 / sqrt(2 * pi * sigma**2      ) * exp(-((x - mu) ** 2) / (2 * sigma**2)      )


if __name__ == "__main__":
							import doctest

							doctest.testmod()

