



from pathlib import Path

import fire
from tqdm import tqdm


def A						(       __UpperCamelCase="ro" ,	__UpperCamelCase="en" ,	__UpperCamelCase="wmt16" ,	__UpperCamelCase=None					)						->      None:
			try:
						import datasets
			except (ModuleNotFoundError, ImportError):
						raise ImportError('run pip install datasets'					)
			A__       =    f'''{src_lang}-{tgt_lang}'''
			print(f'''Converting {dataset}-{pair}'''					)
			A__       =    datasets.load_dataset(__UpperCamelCase ,	__UpperCamelCase					)
			if save_dir is None:
						A__       =    f'''{dataset}-{pair}'''
			A__       =    Path(__UpperCamelCase					)
			save_dir.mkdir(exist_ok=__UpperCamelCase					)

			for split in ds.keys():
						print(f'''Splitting {split} with {ds[split].num_rows} records'''					)

						# to save to val.source, val.target like summary datasets
						A__       =    'val' if split == 'validation' else split
						A__       =    save_dir.joinpath(f'''{fn}.source'''					)
						A__       =    save_dir.joinpath(f'''{fn}.target'''					)
						A__       =    src_path.open('w+'					)
						A__       =    tgt_path.open('w+'					)

						# reader is the bottleneck so writing one record at a time doesn't slow things down
						for x in tqdm(ds[split]					):
									A__       =    x['translation']
									src_fp.write(ex[src_lang] + '\n'					)
									tgt_fp.write(ex[tgt_lang] + '\n'					)

			print(f'''Saved {dataset} dataset to {save_dir}'''					)


if __name__ == "__main__":
		fire.Fire(download_wmt_dataset)









from typing import TYPE_CHECKING

from ..utils import _LazyModule


SCREAMING_SNAKE_CASE__       =      {
    '''config''': [
        '''EXTERNAL_DATA_FORMAT_SIZE_LIMIT''',
        '''OnnxConfig''',
        '''OnnxConfigWithPast''',
        '''OnnxSeq2SeqConfigWithPast''',
        '''PatchingSpec''',
    ],
    '''convert''': ['''export''', '''validate_model_outputs'''],
    '''features''': ['''FeaturesManager'''],
    '''utils''': ['''ParameterFormat''', '''compute_serialized_parameters_size'''],
}


if TYPE_CHECKING:
							from .config import (
							    EXTERNAL_DATA_FORMAT_SIZE_LIMIT,
							    OnnxConfig,
							    OnnxConfigWithPast,
							    OnnxSeqaSeqConfigWithPast,
							    PatchingSpec,
							)
							from .convert import export, validate_model_outputs
							from .features import FeaturesManager
							from .utils import ParameterFormat, compute_serialized_parameters_size

else:
							import sys

							SCREAMING_SNAKE_CASE__       =      _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




