code: 
  import io
  import json
  import subprocess
  
  
  snake_case				:	List[str]							   =						[
      ["en", "ru"],
      ["ru", "en"],
      ["en", "de"],
      ["de", "en"],
  ]
  
  snake_case				:	Any							   =						8
  
  
  
  
  
  
  def 						lowerCAmelCase_		(      _snake_case   :						int   ,     _snake_case   :						Tuple     )       ->	Optional[Any]:
  
  
  
  
  
  
  
  	'''simple docstring'''
  
  
  	__magic_name__	:	str			     =  {}
  	for src, tgt in pairs:
  		__magic_name__	:	Optional[Any]			     =  F'''{src}-{tgt}'''
  		__magic_name__	:	List[Any]			     =  F'''sacrebleu -t wmt19 -l {pair} --echo src'''.split()
  		__magic_name__	:	Tuple			     =  subprocess.run(_snake_case   ,     stdout=subprocess.PIPE     ).stdout.decode("utf-8"     ).splitlines()
  		__magic_name__	:	Optional[Any]			     =  F'''sacrebleu -t wmt19 -l {pair} --echo ref'''.split()
  		__magic_name__	:	List[str]			     =  subprocess.run(_snake_case   ,     stdout=subprocess.PIPE     ).stdout.decode("utf-8"     ).splitlines()
  		__magic_name__	:	str			     =  {"src": src_lines[:n_objs], "tgt": tgt_lines[:n_objs]}
  	return text
  
  
  snake_case				:	List[str]							   =						get_all_data(pairs, n_objs)
  snake_case				:	str							   =						"./fsmt_val_data.json"
  with io.open(filename, "w", encoding="utf-8") as f:
  				snake_case				:	Dict							   =						json.dump(text, f, indent=2, ensure_ascii=False)
  
style_context: 
  from typing import TYPE_CHECKING
  
  from ...utils import (
      OptionalDependencyNotAvailable,
      _LazyModule,
      is_torch_available,
      is_vision_available,
  )
  
  
  snake_case				:	Optional[int]							   =						{
      "configuration_mobilevitv2": [
          "MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP",
          "MobileViTV2Config",
          "MobileViTV2OnnxConfig",
      ],
  }
  
  
  try:
  				if not is_torch_available():
  								raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
  				pass
  else:
  				snake_case				:	Optional[int]							   =						[
  				    "MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST",
  				    "MobileViTV2ForImageClassification",
  				    "MobileViTV2ForSemanticSegmentation",
  				    "MobileViTV2Model",
  				    "MobileViTV2PreTrainedModel",
  				]
  
  if TYPE_CHECKING:
  				from .configuration_mobilevitva import (
  				    MOBILEVITV2_PRETRAINED_CONFIG_ARCHIVE_MAP,
  				    MobileViTVaConfig,
  				    MobileViTVaOnnxConfig,
  				)
  
  				try:
  								if not is_torch_available():
  												raise OptionalDependencyNotAvailable()
  				except OptionalDependencyNotAvailable:
  								pass
  				else:
  								from .modeling_mobilevitva import (
  								    MOBILEVITV2_PRETRAINED_MODEL_ARCHIVE_LIST,
  								    MobileViTVaForImageClassification,
  								    MobileViTVaForSemanticSegmentation,
  								    MobileViTVaModel,
  								    MobileViTVaPreTrainedModel,
  								)
  
  else:
  				import sys
  
  				snake_case				:	Tuple							   =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
  