

"""simple docstring"""

import pytest

import datasets


# Import fixture modules as plugins
_UpperCamelCase		     =    ["""tests.fixtures.files""", """tests.fixtures.hub""", """tests.fixtures.fsspec"""]



def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						Optional[int]:
 # Mark tests as "unit" by default if not marked as "integration" (or already marked as "unit")
 for item in items:
  if any(marker in item.keywords for marker in ["integration", "unit"]   ):
   continue
  item.add_marker(pytest.mark.unit   )



def       SCREAMING_SNAKE_CASE							( lowercase__   )			->						Any:
 config.addinivalue_line("markers"					,					"torchaudio_latest: mark test to run with torchaudio>=0.12"   )



@pytest.fixture(autouse=lowercase__   )
def       SCREAMING_SNAKE_CASE							( lowercase__					,					lowercase__   )			->						int:
 # test_hf_cache_home = tmp_path_factory.mktemp("cache")  # TODO: why a cache dir per test function does not work?
 lowerCAmelCase__   :				Optional[int] 			=				tmp_path_factory.getbasetemp() / "cache"
 lowerCAmelCase__   :				Optional[int] 			=				test_hf_cache_home / "datasets"
 lowerCAmelCase__   :				Optional[Any] 			=				test_hf_cache_home / "metrics"
 lowerCAmelCase__   :				Dict 			=				test_hf_cache_home / "modules"
 monkeypatch.setattr("datasets.config.HF_DATASETS_CACHE"					,					str(lowercase__   )   )
 monkeypatch.setattr("datasets.config.HF_METRICS_CACHE"					,					str(lowercase__   )   )
 monkeypatch.setattr("datasets.config.HF_MODULES_CACHE"					,					str(lowercase__   )   )
 lowerCAmelCase__   :				List[Any] 			=				test_hf_datasets_cache / "downloads"
 monkeypatch.setattr("datasets.config.DOWNLOADED_DATASETS_PATH"					,					str(lowercase__   )   )
 lowerCAmelCase__   :				Any 			=				test_hf_datasets_cache / "downloads" / "extracted"
 monkeypatch.setattr("datasets.config.EXTRACTED_DATASETS_PATH"					,					str(lowercase__   )   )



@pytest.fixture(autouse=lowercase__					,					scope="session"   )
def       SCREAMING_SNAKE_CASE							( )			->						Tuple:
 datasets.disable_progress_bar()



@pytest.fixture(autouse=lowercase__   )
def       SCREAMING_SNAKE_CASE							( lowercase__   )			->						str:
 # don't take tests into account when counting downloads
 monkeypatch.setattr("datasets.config.HF_UPDATE_DOWNLOAD_COUNTS"					,					lowercase__   )






@pytest.fixture
def       SCREAMING_SNAKE_CASE							( lowercase__   )			->						Any:
 # Required to suppress RemovedIn20Warning when feature(s) are not compatible with SQLAlchemy 2.0
 # To be removed once SQLAlchemy 2.0 supported
 monkeypatch.setattr("sqlalchemy.util.deprecations.SILENCE_UBER_WARNING"					,					lowercase__   )









"""simple docstring"""

import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 			__a					(						__magic_name__       ,	unittest.TestCase       ):





       """simple docstring"""


       __UpperCamelCase					:      Optional[Any]    =						LxmertTokenizer
       __UpperCamelCase					:      Optional[Any]    =						LxmertTokenizerFast
       __UpperCamelCase					:      str    =						True
       __UpperCamelCase					:      Any    =						True






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        super().setUp()

        lowerCAmelCase__   :				Tuple 			=				[
            "[UNK]",
            "[CLS]",
            "[SEP]",
            "want",
            "##want",
            "##ed",
            "wa",
            "un",
            "runn",
            "##ing",
            ",",
            "low",
            "lowest",
        ]
        lowerCAmelCase__   :				Dict 			=				os.path.join(self.tmpdirname			,					VOCAB_FILES_NAMES["vocab_file"]   )
        with open(self.vocab_file			,					"w"			,					encoding="utf-8"   ) as vocab_writer:
         vocab_writer.write("".join([x + "\n" for x in vocab_tokens]   )   )






       def 			SCREAMING_SNAKE_CASE_	(   self			,					snake_case   ):





        """simple docstring"""

        lowerCAmelCase__   :				List[Any] 			=				"UNwant\u00E9d,running"
        lowerCAmelCase__   :				Union[str, Any] 			=				"unwanted, running"
        return input_text, output_text






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        lowerCAmelCase__   :				str 			=				self.tokenizer_class(self.vocab_file   )

        lowerCAmelCase__   :				List[Any] 			=				tokenizer.tokenize("UNwant\u00E9d,running"   )
        self.assertListEqual(snake_case			,					["un", "##want", "##ed", ",", "runn", "##ing"]   )
        self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case   )			,					[7, 4, 5, 10, 8, 9]   )






       def 			SCREAMING_SNAKE_CASE_	(   self   ):





        """simple docstring"""

        if not self.test_rust_tokenizer:
         return

        lowerCAmelCase__   :				int 			=				self.get_tokenizer()
        lowerCAmelCase__   :				List[str] 			=				self.get_rust_tokenizer()

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

        lowerCAmelCase__   :				int 			=				tokenizer.tokenize(snake_case   )
        lowerCAmelCase__   :				int 			=				rust_tokenizer.tokenize(snake_case   )
        self.assertListEqual(snake_case			,					snake_case   )

        lowerCAmelCase__   :				str 			=				tokenizer.encode(snake_case			,					add_special_tokens=snake_case   )
        lowerCAmelCase__   :				List[str] 			=				rust_tokenizer.encode(snake_case			,					add_special_tokens=snake_case   )
        self.assertListEqual(snake_case			,					snake_case   )

        lowerCAmelCase__   :				Tuple 			=				self.get_rust_tokenizer()
        lowerCAmelCase__   :				Tuple 			=				tokenizer.encode(snake_case   )
        lowerCAmelCase__   :				List[Any] 			=				rust_tokenizer.encode(snake_case   )
        self.assertListEqual(snake_case			,					snake_case   )






