

import inspect
import json
import os
import tempfile
import unittest

from transformers.models.speech_to_text_a import SpeechaTextaTokenizer
from transformers.models.speech_to_text_a.tokenization_speech_to_text_a import VOCAB_FILES_NAMES

from ...test_tokenization_common import TokenizerTesterMixin

class 					__UpperCamelCase					(       SCREAMING_SNAKE_CASE	,    unittest.TestCase      ):
	_lowercase	: Optional[Any]												=	SpeechaTextaTokenizer
	_lowercase	: str												=	False







	def 						_SCREAMING_SNAKE_CASE				( self:			List[Any]   ):

						'''simple docstring'''





						super().setUp()

						__magic_name__				=     '<s> <pad> </s> <unk> here@@ a couple of@@ words for the he@@ re@@ vocab'.split(' '   )
						__magic_name__				=     ['he re</w> 123', 'here a 1456']
						__magic_name__				=     dict(zip(__UpperCamelCase	,			range(len(__UpperCamelCase   )   )   )   )

						__magic_name__				=     {'pad_token': '<pad>', 'unk_token': '<unk>', 'bos_token': '<s>', 'eos_token': '</s>'}

						__magic_name__				=     tempfile.mkdtemp()
						__magic_name__				=     os.path.join(self.tmpdirname	,			VOCAB_FILES_NAMES['vocab_file']   )
						__magic_name__				=     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(__UpperCamelCase   ) + '\n'   )

						with open(self.merges_file	,			'w'   ) as fp:
											fp.write('\n'.join(__UpperCamelCase   )   )







	def 						_SCREAMING_SNAKE_CASE				( self:			str   ):

						'''simple docstring'''





						__magic_name__				=     list(self.get_tokenizer().get_vocab().keys()   )

						self.assertEqual(vocab_keys[0]	,			'<s>'   )
						self.assertEqual(vocab_keys[1]	,			'<pad>'   )
						self.assertEqual(vocab_keys[-1]	,			'vocab'   )
						self.assertEqual(len(__UpperCamelCase   )	,			14   )







	def 						_SCREAMING_SNAKE_CASE				( self:			List[str]   ):

						'''simple docstring'''





						self.assertEqual(self.get_tokenizer().vocab_size	,			14   )







	def 						_SCREAMING_SNAKE_CASE				( self:			Tuple   ):

						'''simple docstring'''





						__magic_name__				=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname   )

						# make sure @@ is correctly concatenated
						__magic_name__				=     [4, 6, 8, 7, 10]  # ["here@@", "couple", "words", "of@@", "the"]
						__magic_name__				=     tokenizer.decode(__UpperCamelCase   )

						self.assertTrue(output_string == 'herecouple words ofthe'   )







	def 						_SCREAMING_SNAKE_CASE				( self:			Optional[Any]   ):

						'''simple docstring'''





						__magic_name__				=     SpeechaTextaTokenizer.from_pretrained(self.tmpdirname   )

						with tempfile.TemporaryDirectory() as tmp_dirname:
											tokenizer.save_pretrained(__UpperCamelCase   )
											os.remove(os.path.join(__UpperCamelCase	,			'merges.txt'   )   )

											# load tokenizer without merges file should not throw an error
											__magic_name__				=     SpeechaTextaTokenizer.from_pretrained(__UpperCamelCase   )

						with tempfile.TemporaryDirectory() as tmp_dirname:
											# save tokenizer and load again
											tokenizer.save_pretrained(__UpperCamelCase   )
											__magic_name__				=     SpeechaTextaTokenizer.from_pretrained(__UpperCamelCase   )

						self.assertIsNotNone(__UpperCamelCase   )







	def 						_SCREAMING_SNAKE_CASE				( self:			int   ):

						'''simple docstring'''





						if not self.test_slow_tokenizer:
											return

						__magic_name__				=     inspect.signature(self.tokenizer_class.__init__   )
						__magic_name__				=     self.get_tokenizer()

						for parameter_name, parameter in signature.parameters.items():
											if parameter.default != inspect.Parameter.empty and parameter_name != "merges_file":
																self.assertIn(__UpperCamelCase	,			tokenizer.init_kwargs   )







import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator

import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.filelock import logger as fl_logger
from datasets.utils.info_utils import VerificationMode
from datasets.utils.logging import ERROR, get_logger


A__							=				get_logger(__name__)




def        _lowercase  (					a_					:       int					)					->						Optional[int]:




					'''simple docstring'''







					return TestCommand(
					    args.dataset       ,args.name       ,args.cache_dir       ,args.data_dir       ,args.all_configs       ,args.save_info or args.save_infos       ,args.ignore_verifications       ,args.force_redownload       ,args.clear_cache       ,)


class 					__UpperCamelCase					(       SCREAMING_SNAKE_CASE      ):
	_lowercase	: List[Any]												=	False  # to tell pytest it's not a test class







	@staticmethod
	def 						_SCREAMING_SNAKE_CASE				( __UpperCamelCase:			ArgumentParser   ):

						'''simple docstring'''





						__magic_name__				=     parser.add_parser('test'	,			help='Test dataset implementation.'   )
						test_parser.add_argument('--name'	,			type=__UpperCamelCase	,			default=__UpperCamelCase	,			help='Dataset processing name'   )
						test_parser.add_argument(
						    '--cache_dir'	,			type=__UpperCamelCase	,			default=__UpperCamelCase	,			help='Cache directory where the datasets are stored.'	,			)
						test_parser.add_argument(
						    '--data_dir'	,			type=__UpperCamelCase	,			default=__UpperCamelCase	,			help='Can be used to specify a manual directory to get the files from.'	,			)
						test_parser.add_argument('--all_configs'	,			action='store_true'	,			help='Test all dataset configurations'   )
						test_parser.add_argument(
						    '--save_info'	,			action='store_true'	,			help='Save the dataset infos in the dataset card (README.md)'   )
						test_parser.add_argument(
						    '--ignore_verifications'	,			action='store_true'	,			help='Run the test without checksums and splits checks.'	,			)
						test_parser.add_argument('--force_redownload'	,			action='store_true'	,			help='Force dataset redownload'   )
						test_parser.add_argument(
						    '--clear_cache'	,			action='store_true'	,			help='Remove downloaded files and cached datasets after each config test'	,			)
						# aliases
						test_parser.add_argument('--save_infos'	,			action='store_true'	,			help='alias to save_info'   )
						test_parser.add_argument('dataset'	,			type=__UpperCamelCase	,			help='Name of the dataset to download'   )
						test_parser.set_defaults(func=_test_command_factory   )







	def __init__( self:			List[str]	,			__UpperCamelCase:			str	,			__UpperCamelCase:			str	,			__UpperCamelCase:			str	,			__UpperCamelCase:			str	,			__UpperCamelCase:			bool	,			__UpperCamelCase:			bool	,			__UpperCamelCase:			bool	,			__UpperCamelCase:			bool	,			__UpperCamelCase:			bool	,			):

						'''simple docstring'''





						__magic_name__				=     dataset
						__magic_name__				=     name
						__magic_name__				=     cache_dir
						__magic_name__				=     data_dir
						__magic_name__				=     all_configs
						__magic_name__				=     save_infos
						__magic_name__				=     ignore_verifications
						__magic_name__				=     force_redownload
						__magic_name__				=     clear_cache
						if clear_cache and not cache_dir:
											print(
											    'When --clear_cache is used, specifying a cache directory is mandatory.\n'
											    'The \'download\' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n'
											    'Please provide a --cache_dir that will be used to test the dataset script.'   )
											exit(1   )
						if save_infos:
											__magic_name__				=     True







	def 						_SCREAMING_SNAKE_CASE				( self:			Dict   ):

						'''simple docstring'''





						fl_logger().setLevel(__UpperCamelCase   )
						if self._name is not None and self._all_configs:
											print('Both parameters `config` and `all_configs` can\'t be used at once.'   )
											exit(1   )
						__magic_name__,						__magic_name__				=     self._dataset, self._name
						__magic_name__				=     dataset_module_factory(__UpperCamelCase   )
						__magic_name__				=     import_main_class(module.module_path   )
						__magic_name__				=     len(builder_cls.BUILDER_CONFIGS   ) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1

						def get_builders() -> Generator[DatasetBuilder, None, None]:
											if self._all_configs and builder_cls.BUILDER_CONFIGS:
																for i, config in enumerate(builder_cls.BUILDER_CONFIGS   ):
																					if "config_name" in module.builder_kwargs:
																										yield builder_cls(
																										    cache_dir=self._cache_dir	,			data_dir=self._data_dir	,			**module.builder_kwargs	,			)
																					else:
																										yield builder_cls(
																										    config_name=config.name	,			cache_dir=self._cache_dir	,			data_dir=self._data_dir	,			**module.builder_kwargs	,			)
											else:
																if "config_name" in module.builder_kwargs:
																					yield builder_cls(cache_dir=self._cache_dir	,			data_dir=self._data_dir	,			**module.builder_kwargs   )
																else:
																					yield builder_cls(
																					    config_name=__UpperCamelCase	,			cache_dir=self._cache_dir	,			data_dir=self._data_dir	,			**module.builder_kwargs	,			)

						for j, builder in enumerate(get_builders()   ):
											print(F'Testing builder \'{builder.config.name}\' ({j + 1}/{n_builders})'   )
											__magic_name__				=     os.path.exists(
											    os.path.join(builder.get_imported_module_dir()	,			datasets.config.DATASETDICT_INFOS_FILENAME   )   )  # record checksums only if we need to update a (deprecated) dataset_infos.json
											builder.download_and_prepare(
											    download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
											    if not self._force_redownload
											    else DownloadMode.FORCE_REDOWNLOAD	,			verification_mode=VerificationMode.NO_CHECKS
											    if self._ignore_verifications
											    else VerificationMode.ALL_CHECKS	,			try_from_hf_gcs=__UpperCamelCase	,			)
											builder.as_dataset()
											if self._save_infos:
																builder._save_infos()

											# If save_infos=True, the dataset card (README.md) is created next to the loaded module file.
											# The dataset_infos are saved in the YAML part of the README.md

											# Let's move it to the original directory of the dataset script, to allow the user to
											# upload them on S3 at the same time afterwards.
											if self._save_infos:
																__magic_name__				=     os.path.join(builder_cls.get_imported_module_dir()	,			'README.md'   )
																__magic_name__				=     Path(__UpperCamelCase   ).name + '.py'
																__magic_name__				=     os.path.join(__UpperCamelCase	,			__UpperCamelCase   )
																if os.path.isfile(__UpperCamelCase   ):
																					__magic_name__				=     os.path.dirname(__UpperCamelCase   )
																elif os.path.isfile(__UpperCamelCase   ):
																					__magic_name__				=     path
																elif os.path.isdir(__UpperCamelCase   ):  # for local directories containing only data files
																					__magic_name__				=     path
																else:  # in case of a remote dataset
																					__magic_name__				=     None
																					print(F'Dataset card saved at {dataset_readme_path}'   )

																# Move dataset_info back to the user
																if dataset_dir is not None:
																					__magic_name__				=     os.path.join(__UpperCamelCase	,			'README.md'   )
																					copyfile(__UpperCamelCase	,			__UpperCamelCase   )
																					print(F'Dataset card saved at {user_dataset_readme_path}'   )

            # If clear_cache=True, the download folder and the dataset builder cache directory are deleted
											if self._clear_cache:
																if os.path.isdir(builder._cache_dir   ):
																					logger.warning(F'Clearing cache at {builder._cache_dir}'   )
																					rmtree(builder._cache_dir   )
																__magic_name__				=     os.path.join(self._cache_dir	,			datasets.config.DOWNLOADED_DATASETS_DIR   )
																if os.path.isdir(__UpperCamelCase   ):
																					logger.warning(F'Clearing cache at {download_dir}'   )
																					rmtree(__UpperCamelCase   )

						print('Test successful.'   )




