



"""simple docstring"""

from pathlib import Path

import fire
from tqdm import tqdm
def  __snake_case							(	__A      :						Dict="ro"							,		__A      :						Optional[Any]="en"							,		__A      :						Dict="wmt16"							,		__A      :						Union[str, Any]=None     )     ->       None:






				'''simple docstring'''
				try:
								import datasets
				except (ModuleNotFoundError, ImportError):
								raise ImportError('run pip install datasets'     )
				SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     F"""{src_lang}-{tgt_lang}"""
				print(F"""Converting {dataset}-{pair}"""     )
				SCREAMING_SNAKE_CASE						:							List[Any]							=     datasets.load_dataset(__A							,		__A     )
				if save_dir is None:
								SCREAMING_SNAKE_CASE						:							Optional[int]							=     F"""{dataset}-{pair}"""
				SCREAMING_SNAKE_CASE						:							str							=     Path(__A     )
				save_dir.mkdir(exist_ok=__A     )

				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
								SCREAMING_SNAKE_CASE						:							Optional[int]							=     'val' if split == 'validation' else split
								SCREAMING_SNAKE_CASE						:							Any							=     save_dir.joinpath(F"""{fn}.source"""     )
								SCREAMING_SNAKE_CASE						:							str							=     save_dir.joinpath(F"""{fn}.target"""     )
								SCREAMING_SNAKE_CASE						:							Union[str, Any]							=     src_path.open('w+'     )
								SCREAMING_SNAKE_CASE						:							Tuple							=     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]     ):
												SCREAMING_SNAKE_CASE						:							List[str]							=     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)










"""simple docstring"""

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


A_						:    str				=      {'configuration_unispeech': ['UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP', 'UniSpeechConfig']}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A_						:    Optional[int]				=      [
							    'UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'UniSpeechForCTC',
							    'UniSpeechForPreTraining',
							    'UniSpeechForSequenceClassification',
							    'UniSpeechModel',
							    'UniSpeechPreTrainedModel',
							]

if TYPE_CHECKING:
							from .configuration_unispeech import UNISPEECH_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_unispeech import (
														    UNISPEECH_PRETRAINED_MODEL_ARCHIVE_LIST,
														    UniSpeechForCTC,
														    UniSpeechForPreTraining,
														    UniSpeechForSequenceClassification,
														    UniSpeechModel,
														    UniSpeechPreTrainedModel,
														)

else:
							import sys

							A_						:    int				=      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)





