

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

@require_sentencepiece
@require_tokenizers
class   _a					(			snake_case_     ,				unittest.TestCase				):




      """simple docstring"""

      _lowerCamelCase       :			int      		=       XGLMTokenizer
      _lowerCamelCase       :			Union[str, Any]      		=       XGLMTokenizerFast
      _lowerCamelCase       :			Dict      		=       True
      _lowerCamelCase       :			Optional[Any]      		=       True





      def 		__A	(   self							:				Tuple	):
            super().setUp()

            # We have a SentencePiece fixture for testing
            A_						  =				XGLMTokenizer(UpperCAmelCase						,			keep_accents=UpperCAmelCase	)
            tokenizer.save_pretrained(self.tmpdirname	)





      def 		__A	(   self							:				Dict	):
            A_						  =				"<pad>"
            A_						  =				1

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





      def 		__A	(   self							:				Optional[int]	):
            A_						  =				list(self.get_tokenizer().get_vocab().keys()	)

            self.assertEqual(vocab_keys[0]						,			"<s>"	)
            self.assertEqual(vocab_keys[1]						,			"<pad>"	)
            self.assertEqual(len(UpperCAmelCase	)						,			1008	)





      def 		__A	(   self							:				int	):
            self.assertEqual(self.get_tokenizer().vocab_size						,			1008	)





      def 		__A	(   self							:				Dict	):
            A_						  =				XGLMTokenizer(UpperCAmelCase						,			keep_accents=UpperCAmelCase	)

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

            self.assertListEqual(
                tokenizer.convert_tokens_to_ids(UpperCAmelCase	)						,			[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(
                UpperCAmelCase						,			[
                    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(UpperCAmelCase	)
            self.assertListEqual(
                UpperCAmelCase						,			[
                    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(UpperCAmelCase	)
            self.assertListEqual(
                UpperCAmelCase						,			[
                    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 		__A	(   self							:				List[Any]	):
            return XGLMTokenizer.from_pretrained("facebook/xglm-564M"	)





      def 		__A	(   self							:				Union[str, Any]	):
            with tempfile.NamedTemporaryFile() as f:
                  shutil.copyfile(UpperCAmelCase						,			f.name	)
                  A_						  =				XGLMTokenizer(f.name						,			keep_accents=UpperCAmelCase	)
                  A_						  =				pickle.dumps(UpperCAmelCase	)
            pickle.loads(UpperCAmelCase	)





      def 		__A	(   self							:				str	):
            if not self.test_rust_tokenizer:
                  return

            A_						  =				self.get_tokenizer()
            A_						  =				self.get_rust_tokenizer()

            A_						  =				"I was born in 92000, and this is falsé."

            A_						  =				tokenizer.tokenize(UpperCAmelCase	)
            A_						  =				rust_tokenizer.tokenize(UpperCAmelCase	)
            self.assertListEqual(UpperCAmelCase						,			UpperCAmelCase	)

            A_						  =				tokenizer.encode(UpperCAmelCase						,			add_special_tokens=UpperCAmelCase	)
            A_						  =				rust_tokenizer.encode(UpperCAmelCase						,			add_special_tokens=UpperCAmelCase	)
            self.assertListEqual(UpperCAmelCase						,			UpperCAmelCase	)

            A_						  =				self.get_rust_tokenizer()
            A_						  =				tokenizer.encode(UpperCAmelCase	)
            A_						  =				rust_tokenizer.encode(UpperCAmelCase	)
            self.assertListEqual(UpperCAmelCase						,			UpperCAmelCase	)





      @slow
      def 		__A	(   self							:				Optional[int]	):
            A_						  =				"Hello World!"
            A_						  =				[2, 31227, 4447, 35]

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





      @slow
      def 		__A	(   self							:				Any	):
            A_						  =				(
                "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
            A_						  =				[2, 1018, 67, 11, 1988, 2617, 5631, 278, 11, 3407, 48, 71630, 28085, 4, 3234, 157, 13, 6, 5, 6, 4, 3526, 768, 15, 659, 57, 298, 3983, 864, 129, 21, 6, 5, 13675, 377, 652, 7580, 10341, 155, 2817, 422, 1666, 7, 1674, 53, 113, 202277, 17892, 33, 60, 87, 4, 3234, 157, 61, 2667, 52376, 19, 88, 23, 735]
            # fmt: on

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







      @slow
      def 		__A	(   self							:				Any	):
            # fmt: off
            A_						  =				{
                "input_ids": [[2, 108825, 1163, 15, 88010, 473, 15898, 157, 13672, 1857, 312, 8, 238021, 1163, 53, 13672, 1857, 312, 8, 53283, 182396, 8, 18566, 16, 36733, 4101, 8, 230, 244017, 122553, 7, 15, 132597, 4, 293, 12511, 7610, 4, 3414, 132597, 9, 4, 32361, 362, 4, 734, 28512, 32569, 18, 4, 32361, 26096, 14982, 73, 18715, 21433, 235261, 15, 492, 12427, 16, 53, 18715, 21433, 65454, 15, 23659, 563, 16, 278, 597, 2843, 595, 7931, 182396, 64186, 22, 886, 595, 132981, 53, 25540, 3449, 43982, 39901, 5951, 878, 330, 4, 27694, 80269, 312, 53, 6517, 11780, 611, 20408, 5], [2, 6, 132597, 67, 42897, 33, 592, 8, 163729, 25540, 361, 136997, 109514, 173230, 7, 501, 60, 102913, 196, 5631, 235, 63243, 473, 6, 231757, 74, 5277, 7905, 53, 3095, 37317, 22, 454, 183874, 5], [2, 268, 31298, 46530, 6, 132935, 43831, 7, 597, 32, 24, 3688, 9865, 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=UpperCAmelCase						,			model_name="facebook/xglm-564M"						,			padding=UpperCAmelCase						,			)




import re



def 		lowerCAmelCase__     (       UpperCamelCase_					:							str						)->	str:

    if len(re.findall('''[ATCG]'''			,							UpperCamelCase_						)						) != len(UpperCamelCase_						):
        raise ValueError('''Invalid Strand'''						)

    return dna.translate(dna.maketrans('''ATCG'''			,							'''TAGC'''						)						)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
