
'''simple docstring'''






import unittest

from transformers import GPTSwaTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


UpperCAmelCase_       :   str   =       get_tests_dir('fixtures/test_sentencepiece_with_bytefallback.model')

@require_sentencepiece
@require_tokenizers
class  UpperCAmelCase__						(       A						,	unittest.TestCase ):
    lowerCAmelCase_				    =		GPTSwaTokenizer
    lowerCAmelCase_				    =		False
    lowerCAmelCase_				    =		True
    lowerCAmelCase_				    =		False



    def   lowerCamelCase_  (	self      :       int     ):
          super().setUp()

          # We have a SentencePiece fixture for testing
          _lowerCamelCase				:   int								=   GPTSwaTokenizer(__A,eos_token="<unk>",bos_token="<unk>",pad_token="<unk>"     )

          tokenizer.save_pretrained(self.tmpdirname     )



    def   lowerCamelCase_  (	self      :       List[Any],__A      :       Optional[int]     ):
          _lowerCamelCase				:   Tuple								=   "This is a test"
          _lowerCamelCase				:   Any								=   "This is a test"
          return input_text, output_text



    def   lowerCamelCase_  (	self      :       Optional[int]     ):
          _lowerCamelCase				:   int								=   "<s>"
          _lowerCamelCase				:   Any								=   1

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



    def   lowerCamelCase_  (	self      :       Any     ):
          _lowerCamelCase				:   Optional[Any]								=   list(self.get_tokenizer().get_vocab().keys()     )

          self.assertEqual(vocab_keys[0],"<unk>"     )
          self.assertEqual(vocab_keys[1],"<s>"     )
          self.assertEqual(vocab_keys[-1],"j"     )
          self.assertEqual(len(__A     ),2_0_0_0     )



    def   lowerCamelCase_  (	self      :       Tuple     ):
          self.assertEqual(self.get_tokenizer().vocab_size,2_0_0_0     )



    def   lowerCamelCase_  (	self      :       Optional[int]     ):
          _lowerCamelCase				:   Optional[int]								=   GPTSwaTokenizer(__A     )

          _lowerCamelCase				:   Optional[int]								=   tokenizer.tokenize("This is a test"     )
          self.assertListEqual(__A,["▁This", "▁is", "▁a", "▁t", "est"]     )

          self.assertListEqual(tokenizer.convert_tokens_to_ids(__A     ),[4_6_5, 2_8_7, 2_6_5, 6_3_1, 8_4_2]     )

          _lowerCamelCase				:   Dict								=   tokenizer.tokenize("I was born in 92000, and this is falsé."     )
          # fmt: off
          self.assertListEqual(
              __A,["▁I", "▁was", "▁bor", "n", "▁in", "▁", "<0x39>", "2", "0", "0", "0", ",", "▁and", "▁this", "▁is", "▁f", "al", "s", "<0xC3>", "<0xA9>", "."],)
          # fmt: on

          _lowerCamelCase				:   List[Any]								=   tokenizer.convert_tokens_to_ids(__A     )
          self.assertListEqual(
              __A,[2_6_2, 2_7_2, 1_5_2_5, 2_8_6, 2_7_1, 2_6_8, 6_0, 9_1_6, 6_3_3, 6_3_3, 6_3_3, 2_5_9, 2_6_6, 3_0_1, 2_8_7, 3_8_4, 3_6_7, 2_6_3, 1_9_8, 1_7_2, 2_6_0],)

          _lowerCamelCase				:   int								=   tokenizer.convert_ids_to_tokens(__A     )
          # fmt: off
          self.assertListEqual(
              __A,["▁I", "▁was", "▁bor", "n", "▁in", "▁", "<0x39>", "2", "0", "0", "0", ",", "▁and", "▁this", "▁is", "▁f", "al", "s", "<0xC3>", "<0xA9>", "."]     )
          # fmt: on



    def   lowerCamelCase_  (	self      :       Optional[Any]     ):
          _lowerCamelCase				:   Optional[int]								=   GPTSwaTokenizer(__A     )
          _lowerCamelCase				:   str								=   ["This is a test", "I was born in 92000, and this is falsé."]
          _lowerCamelCase				:   Tuple								=   [
              [4_6_5, 2_8_7, 2_6_5, 6_3_1, 8_4_2],
              [2_6_2, 2_7_2, 1_5_2_5, 2_8_6, 2_7_1, 2_6_8, 6_0, 9_1_6, 6_3_3, 6_3_3, 6_3_3, 2_5_9, 2_6_6, 3_0_1, 2_8_7, 3_8_4, 3_6_7, 2_6_3, 1_9_8, 1_7_2, 2_6_0],
          ]

          # Test that encode_fast returns the same as tokenize + convert_tokens_to_ids
          for text, expected_ids in zip(__A,__A     ):
                self.assertListEqual(tokenizer.encode_fast(__A     ),__A     )

          # Test that decode_fast returns the input text
          for text, token_ids in zip(__A,__A     ):
                self.assertEqual(tokenizer.decode_fast(__A     ),__A     )



    @slow
    def   lowerCamelCase_  (	self      :       Tuple     ):
          _lowerCamelCase				:   Optional[int]								=   [
              "<|python|>def fibonacci(n)\n    if n < 0:\n        print('Incorrect input')",
              "Hey there, how are you doing this fine day?",
              "This is a text with a trailing spaces followed by a dot     .",
              "Häj sväjs lillebrör! =)",
              "Det är inget fel på Mr. Cool",
          ]

          # fmt: off
          _lowerCamelCase				:   List[Any]								=   {"input_ids": [[6_3_4_2_3, 5, 6_8_1_1, 1_4_9_5_4, 2_8_2, 8_1_6, 3_8_2_1, 6_3_4_6_6, 6_3_4_2_5, 6_3_4_6_2, 1_8, 6_3_9_7_8, 6_7_8, 3_0_1, 1_3_2_0, 6_3_4_2_3, 6_3_4_5_5, 6_3_4_5_8, 1_8, 6_3_9_8_2, 4_2_4_6, 3_9_4_0, 1_9_0_1, 4_7_7_8_9, 5_5_4_7, 1_8_9_9_4], [1_9_6_3_0, 1_1_0_0, 6_3_4_4_6, 1_3_4_2, 6_3_3, 5_4_4, 4_4_8_8, 5_9_3, 5_1_0_2, 2_4_1_6, 6_3_4_9_5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1_6_5_2, 4_2_8, 2_6_8, 1_9_3_6, 5_1_5, 2_6_8, 5_8_5_9_3, 2_2_4_1_3, 9_1_0_6, 5_4_6, 2_6_8, 3_3_2_1_3, 6_3_9_7_9, 6_9_8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_5_1_3_0, 6_3_4_5_0, 9_2_4, 6_3_4_4_9, 2_2_4_9, 4_0_6_2, 1_5_5_8, 3_1_8, 6_3_5_0_4, 2_1_4_9_8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5_0_9, 3_7_7, 2_8_2_7, 2_5_5_9, 3_3_2, 6_5_7_5, 6_3_4_4_3, 2_6_8_0_1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "token_type_ids": [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], "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, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}
          # fmt: on
          self.tokenizer_integration_test_util(
              expected_encoding=__A,model_name="AI-Sweden/gpt-sw3-126m",sequences=__A,)

'''simple docstring'''






from typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCAmelCase_       :   Tuple   =       {'tokenization_wav2vec2_phoneme': ['Wav2Vec2PhonemeCTCTokenizer']}


if TYPE_CHECKING:
 from .tokenization_wavaveca_phoneme import WavaVecaPhonemeCTCTokenizer
else:
 import sys

 UpperCAmelCase_       :   Tuple   =       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)