


'''simple docstring'''



import pickle
import shutil
import tempfile
import unittest

from transformers import SPIECE_UNDERLINE, XGLMTokenizer, XGLMTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


A__		:					Union[str, Any]												=  get_tests_dir("""fixtures/test_sentencepiece.model""")





@require_sentencepiece
@require_tokenizers
class    UpperCAmelCase_  (_UpperCAmelCase					,		unittest.TestCase  ):





    """simple docstring"""






    lowerCamelCase  :					Tuple							     =			XGLMTokenizer
    lowerCamelCase  :					List[Any]							     =			XGLMTokenizerFast
    lowerCamelCase  :					Any							     =			True
    lowerCamelCase  :					Any							     =			True







    def       lowercase_				(							self	)				->     List[str]:
         super().setUp()

         # We have a SentencePiece fixture for testing
         __lowerCamelCase   :	Optional[Any]								=		XGLMTokenizer(SCREAMING_SNAKE_CASE_			,     keep_accents=SCREAMING_SNAKE_CASE_	)
         tokenizer.save_pretrained(self.tmpdirname	)







    def       lowercase_				(							self	)				->     Dict:
         __lowerCamelCase   :	Any								=		'<pad>'
         __lowerCamelCase   :	int								=		1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(SCREAMING_SNAKE_CASE_	)			,     SCREAMING_SNAKE_CASE_	)
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(SCREAMING_SNAKE_CASE_	)			,     SCREAMING_SNAKE_CASE_	)







    def       lowercase_				(							self	)				->     Union[str, Any]:
         __lowerCamelCase   :	int								=		list(self.get_tokenizer().get_vocab().keys()	)

         self.assertEqual(vocab_keys[0]			,     '<s>'	)
         self.assertEqual(vocab_keys[1]			,     '<pad>'	)
         self.assertEqual(len(SCREAMING_SNAKE_CASE_	)			,     10_08	)







    def       lowercase_				(							self	)				->     Tuple:
         self.assertEqual(self.get_tokenizer().vocab_size			,     10_08	)







    def       lowercase_				(							self	)				->     Any:
         __lowerCamelCase   :	List[str]								=		XGLMTokenizer(SCREAMING_SNAKE_CASE_			,     keep_accents=SCREAMING_SNAKE_CASE_	)

         __lowerCamelCase   :	Tuple								=		tokenizer.tokenize('This is a test'	)
         self.assertListEqual(SCREAMING_SNAKE_CASE_			,     ['▁This', '▁is', '▁a', '▁t', 'est']	)

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

         __lowerCamelCase   :	str								=		tokenizer.tokenize('I was born in 92000, and this is falsé.'	)
         self.assertListEqual(
             SCREAMING_SNAKE_CASE_			,     [
                 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   :	Dict								=		tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE_	)
         self.assertListEqual(
             SCREAMING_SNAKE_CASE_			,     [
                 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]
             ]			,     )

         __lowerCamelCase   :	int								=		tokenizer.convert_ids_to_tokens(SCREAMING_SNAKE_CASE_	)
         self.assertListEqual(
             SCREAMING_SNAKE_CASE_			,     [
                 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>',
                 '.',
             ]			,     )







    @cached_property
    def       lowercase_				(							self	)				->     str:
         return XGLMTokenizer.from_pretrained('facebook/xglm-564M'	)







    def       lowercase_				(							self	)				->     str:
         with tempfile.NamedTemporaryFile() as f:
              shutil.copyfile(SCREAMING_SNAKE_CASE_			,     f.name	)
              __lowerCamelCase   :	str								=		XGLMTokenizer(f.name			,     keep_accents=SCREAMING_SNAKE_CASE_	)
              __lowerCamelCase   :	Any								=		pickle.dumps(SCREAMING_SNAKE_CASE_	)
         pickle.loads(SCREAMING_SNAKE_CASE_	)







    def       lowercase_				(							self	)				->     Optional[Any]:
         if not self.test_rust_tokenizer:
              return

         __lowerCamelCase   :	List[Any]								=		self.get_tokenizer()
         __lowerCamelCase   :	str								=		self.get_rust_tokenizer()

         __lowerCamelCase   :	Optional[Any]								=		'I was born in 92000, and this is falsé.'

         __lowerCamelCase   :	List[Any]								=		tokenizer.tokenize(SCREAMING_SNAKE_CASE_	)
         __lowerCamelCase   :	Optional[int]								=		rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE_	)
         self.assertListEqual(SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	)

         __lowerCamelCase   :	List[str]								=		tokenizer.encode(SCREAMING_SNAKE_CASE_			,     add_special_tokens=SCREAMING_SNAKE_CASE_	)
         __lowerCamelCase   :	List[Any]								=		rust_tokenizer.encode(SCREAMING_SNAKE_CASE_			,     add_special_tokens=SCREAMING_SNAKE_CASE_	)
         self.assertListEqual(SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	)

         __lowerCamelCase   :	str								=		self.get_rust_tokenizer()
         __lowerCamelCase   :	str								=		tokenizer.encode(SCREAMING_SNAKE_CASE_	)
         __lowerCamelCase   :	List[Any]								=		rust_tokenizer.encode(SCREAMING_SNAKE_CASE_	)
         self.assertListEqual(SCREAMING_SNAKE_CASE_			,     SCREAMING_SNAKE_CASE_	)







    @slow
    def       lowercase_				(							self	)				->     int:
         __lowerCamelCase   :	int								=		'Hello World!'
         __lowerCamelCase   :	Any								=		[2, 3_12_27, 44_47, 35]

         self.assertListEqual(SCREAMING_SNAKE_CASE_			,     self.big_tokenizer.encode(SCREAMING_SNAKE_CASE_	)	)







    @slow
    def       lowercase_				(							self	)				->     Tuple:
         __lowerCamelCase   :	Any								=		(
             'This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) " [ ] ! : - . Also we will'
             ' add words that should not exsist and be tokenized to unk, such as saoneuhaoesuth'
         )
         # fmt: off
         __lowerCamelCase   :	Optional[Any]								=		[2, 10_18, 67, 11, 19_88, 26_17, 56_31, 2_78, 11, 34_07, 48, 7_16_30, 2_80_85, 4, 32_34, 1_57, 13, 6, 5, 6, 4, 35_26, 7_68, 15, 6_59, 57, 2_98, 39_83, 8_64, 1_29, 21, 6, 5, 1_36_75, 3_77, 6_52, 75_80, 1_03_41, 1_55, 28_17, 4_22, 16_66, 7, 16_74, 53, 1_13, 20_22_77, 1_78_92, 33, 60, 87, 4, 32_34, 1_57, 61, 26_67, 5_23_76, 19, 88, 23, 7_35]
         # fmt: on

         self.assertListEqual(SCREAMING_SNAKE_CASE_			,     self.big_tokenizer.encode(SCREAMING_SNAKE_CASE_	)	)







    @slow
    def       lowercase_				(							self	)				->     Any:
         # fmt: off
         __lowerCamelCase   :	Optional[Any]								=		{
             'input_ids': [[2, 10_88_25, 11_63, 15, 8_80_10, 4_73, 1_58_98, 1_57, 1_36_72, 18_57, 3_12, 8, 23_80_21, 11_63, 53, 1_36_72, 18_57, 3_12, 8, 5_32_83, 18_23_96, 8, 1_85_66, 16, 3_67_33, 41_01, 8, 2_30, 24_40_17, 12_25_53, 7, 15, 13_25_97, 4, 2_93, 1_25_11, 76_10, 4, 34_14, 13_25_97, 9, 4, 3_23_61, 3_62, 4, 7_34, 2_85_12, 3_25_69, 18, 4, 3_23_61, 2_60_96, 1_49_82, 73, 1_87_15, 2_14_33, 23_52_61, 15, 4_92, 1_24_27, 16, 53, 1_87_15, 2_14_33, 6_54_54, 15, 2_36_59, 5_63, 16, 2_78, 5_97, 28_43, 5_95, 79_31, 18_23_96, 6_41_86, 22, 8_86, 5_95, 13_29_81, 53, 2_55_40, 34_49, 4_39_82, 3_99_01, 59_51, 8_78, 3_30, 4, 2_76_94, 8_02_69, 3_12, 53, 65_17, 1_17_80, 6_11, 2_04_08, 5], [2, 6, 13_25_97, 67, 4_28_97, 33, 5_92, 8, 16_37_29, 2_55_40, 3_61, 13_69_97, 10_95_14, 17_32_30, 7, 5_01, 60, 10_29_13, 1_96, 56_31, 2_35, 6_32_43, 4_73, 6, 23_17_57, 74, 52_77, 79_05, 53, 30_95, 3_73_17, 22, 4_54, 18_38_74, 5], [2, 2_68, 3_12_98, 4_65_30, 6, 13_29_35, 4_38_31, 7, 5_97, 32, 24, 36_88, 98_65, 5]],
             'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]
         }  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=SCREAMING_SNAKE_CASE_			,     model_name='facebook/xglm-564M'			,     padding=SCREAMING_SNAKE_CASE_			,     )










'''simple docstring'''



from numpy import exp, pi, sqrt



def 			UpperCAmelCase__					(	UpperCAmelCase_    :				Optional[int]      ,    UpperCAmelCase_    :				float = 0.0      ,    UpperCAmelCase_    :				float = 1.0							)     ->		int:
     return 1 / sqrt(2 * pi * sigma**2							) * exp(-((x - mu) ** 2) / (2 * sigma**2)							)


if __name__ == "__main__":
      import doctest

      doctest.testmod()






