



'''simple docstring'''





import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin


class      __lowerCAmelCase     (		_A							,     unittest.TestCase      ):
					"""simple docstring"""






					A__				:		Union[str, Any]			       =    CTRLTokenizer
					A__				:		List[str]			       =    False
					A__				:		Union[str, Any]			       =    False



					def     _a							(     self					:       List[str]					):






								"""simple docstring"""


								super().setUp()

								# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
								A__       =    ["adapt", "re@@", "a@@", "apt", "c@@", "t", "<unk>"]
								A__       =    dict(zip(_snake_case				,					range(len(_snake_case					)					)					)					)
								A__       =    ["#version: 0.2", "a p", "ap t</w>", "r e", "a d", "ad apt</w>", ""]
								A__       =    {"unk_token": "<unk>"}

								A__       =    os.path.join(self.tmpdirname				,					VOCAB_FILES_NAMES['vocab_file']					)
								A__       =    os.path.join(self.tmpdirname				,					VOCAB_FILES_NAMES['merges_file']					)
								with open(self.vocab_file				,					'w'				,					encoding='utf-8'					) as fp:
											fp.write(json.dumps(_snake_case					) + '\n'					)
								with open(self.merges_file				,					'w'				,					encoding='utf-8'					) as fp:
											fp.write('\n'.join(_snake_case					)					)



					def     _a							(     self					:       Any				,					**_snake_case					:       Optional[Any]					):






								"""simple docstring"""


								kwargs.update(self.special_tokens_map					)
								return CTRLTokenizer.from_pretrained(self.tmpdirname				,					**_snake_case					)



					def     _a							(     self					:       List[str]				,					_snake_case					:       str					):






								"""simple docstring"""


								A__       =    "adapt react readapt apt"
								A__       =    "adapt react readapt apt"
								return input_text, output_text



					def     _a							(     self					:       str					):






								"""simple docstring"""


								A__       =    CTRLTokenizer(self.vocab_file				,					self.merges_file				,					**self.special_tokens_map					)
								A__       =    "adapt react readapt apt"
								A__       =    "adapt re@@ a@@ c@@ t re@@ adapt apt".split()
								A__       =    tokenizer.tokenize(_snake_case					)
								self.assertListEqual(_snake_case				,					_snake_case					)

								A__       =    tokens + [tokenizer.unk_token]

								A__       =    [0, 1, 2, 4, 5, 1, 0, 3, 6]
								self.assertListEqual(tokenizer.convert_tokens_to_ids(_snake_case					)				,					_snake_case					)









import pytest

import datasets


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


def A						(       __UpperCamelCase ,	__UpperCamelCase					)						->      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 A						(       __UpperCamelCase					)						->      str:
			config.addinivalue_line('markers' ,	'torchaudio_latest: mark test to run with torchaudio>=0.12'					)


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


@pytest.fixture(autouse=__UpperCamelCase ,	scope='session'					)
def A						(       )						->      Union[str, Any]:
			datasets.disable_progress_bar()


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






@pytest.fixture
def A						(       __UpperCamelCase					)						->      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' ,	__UpperCamelCase					)




