


'''simple docstring'''





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


__lowerCamelCase       				=	get_logger(__name__)


def 					a__    (				UpperCamelCase_	:			int	):
   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 ( _snake_case	):
 UpperCAmelCase				=				False  # to tell pytest it's not a test class


 @staticmethod
 def 					__SCREAMING_SNAKE_CASE				(			__lowerCamelCase       :  ArgumentParser   ):
    UpperCAmelCase__  :Tuple            =			parser.add_parser('''test''' ,					help='''Test dataset implementation.'''   )
    test_parser.add_argument('''--name''' ,					type=__lowerCamelCase ,					default=__lowerCamelCase ,					help='''Dataset processing name'''   )
    test_parser.add_argument(
        '''--cache_dir''' ,					type=__lowerCamelCase ,					default=__lowerCamelCase ,					help='''Cache directory where the datasets are stored.''' ,					)
    test_parser.add_argument(
        '''--data_dir''' ,					type=__lowerCamelCase ,					default=__lowerCamelCase ,					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=__lowerCamelCase ,					help='''Name of the dataset to download'''   )
    test_parser.set_defaults(func=_test_command_factory   )


 def __init__(			self       :  List[str] ,					__lowerCamelCase       :  str ,					__lowerCamelCase       :  str ,					__lowerCamelCase       :  str ,					__lowerCamelCase       :  str ,					__lowerCamelCase       :  bool ,					__lowerCamelCase       :  bool ,					__lowerCamelCase       :  bool ,					__lowerCamelCase       :  bool ,					__lowerCamelCase       :  bool ,					):
    UpperCAmelCase__  :Tuple            =			dataset
    UpperCAmelCase__  :Any            =			name
    UpperCAmelCase__  :Union[str, Any]            =			cache_dir
    UpperCAmelCase__  :Optional[int]            =			data_dir
    UpperCAmelCase__  :int            =			all_configs
    UpperCAmelCase__  :Optional[int]            =			save_infos
    UpperCAmelCase__  :int            =			ignore_verifications
    UpperCAmelCase__  :List[str]            =			force_redownload
    UpperCAmelCase__  :Tuple            =			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:
       UpperCAmelCase__  :Any            =			True





 def 					__SCREAMING_SNAKE_CASE				(			self       :  Optional[Any]   ):
    fl_logger().setLevel(__lowerCamelCase   )
    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   )
    UpperCAmelCase__      ,	UpperCAmelCase__  :int            =			self._dataset, self._name
    UpperCAmelCase__  :Any            =			dataset_module_factory(__lowerCamelCase   )
    UpperCAmelCase__  :int            =			import_main_class(module.module_path   )
    UpperCAmelCase__  :Optional[Any]            =			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=__lowerCamelCase ,					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})'''   )
       UpperCAmelCase__  :Any            =			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=__lowerCamelCase ,					)
       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:
          UpperCAmelCase__  :List[str]            =			os.path.join(builder_cls.get_imported_module_dir() ,					'''README.md'''   )
          UpperCAmelCase__  :Union[str, Any]            =			Path(__lowerCamelCase   ).name + '''.py'''
          UpperCAmelCase__  :Tuple            =			os.path.join(__lowerCamelCase ,					__lowerCamelCase   )
          if os.path.isfile(__lowerCamelCase   ):
             UpperCAmelCase__  :Optional[int]            =			os.path.dirname(__lowerCamelCase   )
          elif os.path.isfile(__lowerCamelCase   ):
             UpperCAmelCase__  :Any            =			path
          elif os.path.isdir(__lowerCamelCase   ):  # for local directories containing only data files
             UpperCAmelCase__  :Optional[Any]            =			path
          else:  # in case of a remote dataset
             UpperCAmelCase__  :str            =			None
             print(f'''Dataset card saved at {dataset_readme_path}'''   )

          # Move dataset_info back to the user
          if dataset_dir is not None:
             UpperCAmelCase__  :Dict            =			os.path.join(__lowerCamelCase ,					'''README.md'''   )
             copyfile(__lowerCamelCase ,					__lowerCamelCase   )
             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   )
          UpperCAmelCase__  :List[Any]            =			os.path.join(self._cache_dir ,					datasets.config.DOWNLOADED_DATASETS_DIR   )
          if os.path.isdir(__lowerCamelCase   ):
             logger.warning(f'''Clearing cache at {download_dir}'''   )
             rmtree(__lowerCamelCase   )

    print('''Test successful.'''   )







'''simple docstring'''





import json
import os
import unittest

from transformers.models.fsmt.tokenization_fsmt import VOCAB_FILES_NAMES, FSMTTokenizer
from transformers.testing_utils import slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


# using a different tiny model than the one used for default params defined in init to ensure proper testing
__lowerCamelCase       				=	'''stas/tiny-wmt19-en-ru'''




class 							UpperCAmelCase ( _snake_case	,   unittest.TestCase	):
 UpperCAmelCase				=				FSMTTokenizer
 UpperCAmelCase				=				False


 def 					__SCREAMING_SNAKE_CASE				(			self       :  Union[str, Any]   ):
    super().setUp()

    # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
    UpperCAmelCase__  :Any            =			[
        '''l''',
        '''o''',
        '''w''',
        '''e''',
        '''r''',
        '''s''',
        '''t''',
        '''i''',
        '''d''',
        '''n''',
        '''w</w>''',
        '''r</w>''',
        '''t</w>''',
        '''lo''',
        '''low''',
        '''er</w>''',
        '''low</w>''',
        '''lowest</w>''',
        '''newer</w>''',
        '''wider</w>''',
        '''<unk>''',
    ]
    UpperCAmelCase__  :Dict            =			dict(zip(__lowerCamelCase ,					range(len(__lowerCamelCase   )   )   )   )
    UpperCAmelCase__  :Dict            =			['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

    UpperCAmelCase__  :Dict            =			['''en''', '''ru''']
    UpperCAmelCase__  :Tuple            =			{
        '''langs''': self.langs,
        '''src_vocab_size''': 1_0,
        '''tgt_vocab_size''': 2_0,
    }

    UpperCAmelCase__  :Any            =			os.path.join(self.tmpdirname ,					VOCAB_FILES_NAMES['''src_vocab_file''']   )
    UpperCAmelCase__  :Any            =			os.path.join(self.tmpdirname ,					VOCAB_FILES_NAMES['''tgt_vocab_file''']   )
    UpperCAmelCase__  :Dict            =			os.path.join(self.tmpdirname ,					'''tokenizer_config.json'''   )
    UpperCAmelCase__  :Union[str, Any]            =			os.path.join(self.tmpdirname ,					VOCAB_FILES_NAMES['''merges_file''']   )
    with open(self.src_vocab_file ,					'''w'''   ) as fp:
       fp.write(json.dumps(__lowerCamelCase   )   )
    with open(self.tgt_vocab_file ,					'''w'''   ) as fp:
       fp.write(json.dumps(__lowerCamelCase   )   )
    with open(self.merges_file ,					'''w'''   ) as fp:
       fp.write('''\n'''.join(__lowerCamelCase   )   )
    with open(__lowerCamelCase ,					'''w'''   ) as fp:
       fp.write(json.dumps(__lowerCamelCase   )   )


 @cached_property
 def 					__SCREAMING_SNAKE_CASE				(			self       :  List[Any]   ):
    return FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en'''   )


 @cached_property
 def 					__SCREAMING_SNAKE_CASE				(			self       :  Tuple   ):
    return FSMTTokenizer.from_pretrained('''facebook/wmt19-en-ru'''   )


 def 					__SCREAMING_SNAKE_CASE				(			self       :  Optional[Any]   ):
    UpperCAmelCase__  :int            =			FSMTTokenizer.from_pretrained(__lowerCamelCase   )
    self.assertListEqual([tokenizer.src_lang, tokenizer.tgt_lang] ,					['''en''', '''ru''']   )
    self.assertEqual(tokenizer.src_vocab_size ,					2_1   )
    self.assertEqual(tokenizer.tgt_vocab_size ,					2_1   )


 def 					__SCREAMING_SNAKE_CASE				(			self       :  Optional[int]   ):
    UpperCAmelCase__  :Tuple            =			FSMTTokenizer(self.langs ,					self.src_vocab_file ,					self.tgt_vocab_file ,					self.merges_file   )

    UpperCAmelCase__  :Any            =			'''lower'''
    UpperCAmelCase__  :List[Any]            =			['''low''', '''er</w>''']
    UpperCAmelCase__  :Union[str, Any]            =			tokenizer.tokenize(__lowerCamelCase   )
    self.assertListEqual(__lowerCamelCase ,					__lowerCamelCase   )

    UpperCAmelCase__  :Dict            =			tokens + ['''<unk>''']
    UpperCAmelCase__  :Union[str, Any]            =			[1_4, 1_5, 2_0]
    self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase   ) ,					__lowerCamelCase   )


 @slow
 def 					__SCREAMING_SNAKE_CASE				(			self       :  Any   ):
    UpperCAmelCase__  :str            =			self.tokenizer_ru_en

    UpperCAmelCase__  :Union[str, Any]            =			tokenizer.encode('''sequence builders''' ,					add_special_tokens=__lowerCamelCase   )
    UpperCAmelCase__  :Dict            =			tokenizer.encode('''multi-sequence build''' ,					add_special_tokens=__lowerCamelCase   )

    UpperCAmelCase__  :Any            =			tokenizer.build_inputs_with_special_tokens(__lowerCamelCase   )
    UpperCAmelCase__  :Union[str, Any]            =			tokenizer.build_inputs_with_special_tokens(__lowerCamelCase ,					__lowerCamelCase   )

    assert encoded_sentence == text + [2]
    assert encoded_pair == text + [2] + text_a + [2]


 @slow
 def 					__SCREAMING_SNAKE_CASE				(			self       :  Union[str, Any]   ):
    UpperCAmelCase__  :List[str]            =			self.tokenizer_en_ru
    UpperCAmelCase__  :Union[str, Any]            =			self.tokenizer_ru_en

    UpperCAmelCase__  :Any            =			[
        [
            '''Here\'s a little song I wrote. Don\'t worry, be happy.''',
            [2_4_7_0, 3_9, 1_1, 2_3_4_9, 7_2_2_2, 7_0, 5_9_7_9, 7, 8_4_5_0, 1_0_5_0, 1_3_1_6_0, 5, 2_6, 6_4_4_5, 7, 2],
        ],
        ['''This is it. No more. I\'m done!''', [1_3_2, 2_1, 3_7, 7, 1_4_3_4, 8_6, 7, 7_0, 6_4_7_6, 1_3_0_5, 4_2_7, 2]],
    ]

    # if data needs to be recreated or added, run:
    # import torch
    # model = torch.hub.load("pytorch/fairseq", "transformer.wmt19.en-ru", checkpoint_file="model4.pt", tokenizer="moses", bpe="fastbpe")
    # for src_text, _ in targets: print(f"""[\n"{src_text}",\n {model.encode(src_text).tolist()}\n],""")

    for src_text, tgt_input_ids in targets:
       UpperCAmelCase__  :List[Any]            =			tokenizer_enc.encode(__lowerCamelCase ,					return_tensors=__lowerCamelCase   )
       self.assertListEqual(__lowerCamelCase ,					__lowerCamelCase   )

       # and decode backward, using the reversed languages model
       UpperCAmelCase__  :str            =			tokenizer_dec.decode(__lowerCamelCase ,					skip_special_tokens=__lowerCamelCase   )
       self.assertEqual(__lowerCamelCase ,					__lowerCamelCase   )


 @slow
 def 					__SCREAMING_SNAKE_CASE				(			self       :  Union[str, Any]   ):
    UpperCAmelCase__  :Optional[Any]            =			FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en''' ,					do_lower_case=__lowerCamelCase   )
    UpperCAmelCase__  :str            =			tokenizer.tokenize('''USA is United States of America'''   )
    UpperCAmelCase__  :str            =			['''us''', '''a</w>''', '''is</w>''', '''un''', '''i''', '''ted</w>''', '''st''', '''ates</w>''', '''of</w>''', '''am''', '''er''', '''ica</w>''']
    self.assertListEqual(__lowerCamelCase ,					__lowerCamelCase   )


 @unittest.skip('''FSMTConfig.__init__  requires non-optional args'''   )
 def 					__SCREAMING_SNAKE_CASE				(			self       :  List[str]   ):
    pass





 @unittest.skip('''FSMTConfig.__init__  requires non-optional args'''   )
 def 					__SCREAMING_SNAKE_CASE				(			self       :  Dict   ):
    pass



