





from typing import TYPE_CHECKING

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


_A				:							Union[str, Any]							= {
    """configuration_unispeech_sat""": ["""UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """UniSpeechSatConfig"""],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _A				:							List[Any]							= [
      """UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """UniSpeechSatForAudioFrameClassification""",
      """UniSpeechSatForCTC""",
      """UniSpeechSatForPreTraining""",
      """UniSpeechSatForSequenceClassification""",
      """UniSpeechSatForXVector""",
      """UniSpeechSatModel""",
      """UniSpeechSatPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_unispeech_sat import UNISPEECH_SAT_PRETRAINED_CONFIG_ARCHIVE_MAP, UniSpeechSatConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_unispeech_sat import (
        UNISPEECH_SAT_PRETRAINED_MODEL_ARCHIVE_LIST,
        UniSpeechSatForAudioFrameClassification,
        UniSpeechSatForCTC,
        UniSpeechSatForPreTraining,
        UniSpeechSatForSequenceClassification,
        UniSpeechSatForXVector,
        UniSpeechSatModel,
        UniSpeechSatPreTrainedModel,
    )

else:
  import sys

  _A				:							List[Any]							= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)







import io
import json
import subprocess


_A				:							str							= [
    ["""en""", """ru"""],
    ["""ru""", """en"""],
    ["""en""", """de"""],
    ["""de""", """en"""],
]

_A				:							int							= 8


def        __snake_case       (						lowerCAmelCase_   ,       lowerCAmelCase_  )							->	Optional[Any]:
    SCREAMING_SNAKE_CASE__       							= {}
    for src, tgt in pairs:
        SCREAMING_SNAKE_CASE__       							= f'''{src}-{tgt}'''
        SCREAMING_SNAKE_CASE__       							= f'''sacrebleu -t wmt19 -l {pair} --echo src'''.split()
        SCREAMING_SNAKE_CASE__       							= subprocess.run(lowerCAmelCase_   ,       stdout=subprocess.PIPE  ).stdout.decode('''utf-8'''  ).splitlines()
        SCREAMING_SNAKE_CASE__       							= f'''sacrebleu -t wmt19 -l {pair} --echo ref'''.split()
        SCREAMING_SNAKE_CASE__       							= subprocess.run(lowerCAmelCase_   ,       stdout=subprocess.PIPE  ).stdout.decode('''utf-8'''  ).splitlines()
        SCREAMING_SNAKE_CASE__       							= {'''src''': src_lines[:n_objs], '''tgt''': tgt_lines[:n_objs]}
    return text


_A				:							Optional[Any]							= get_all_data(pairs, n_objs)
_A				:							Optional[Any]							= """./fsmt_val_data.json"""
with io.open(filename, """w""", encoding="""utf-8""") as f:
  _A				:							int							= json.dump(text, f, indent=2, ensure_ascii=False)
