





'''simple docstring'''

import io
import json
import subprocess


UpperCAmelCase       :		Dict		=				[
    ['en', 'ru'],
    ['ru', 'en'],
    ['en', 'de'],
    ['de', 'en'],
]

UpperCAmelCase       :		int		=				8




def  _a     (				lowerCAmelCase_      ,   lowerCAmelCase_						):





      """simple docstring"""



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


UpperCAmelCase       :		Tuple		=				get_all_data(pairs, n_objs)
UpperCAmelCase       :		Tuple		=				'./fsmt_val_data.json'
with io.open(filename, 'w', encoding='utf-8') as f:
   UpperCAmelCase       :		Any		=				json.dump(text, f, indent=2, ensure_ascii=False)









'''simple docstring'''

from typing import TYPE_CHECKING

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


UpperCAmelCase       :		Dict		=				{
    'configuration_marian': ['MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'MarianConfig', 'MarianOnnxConfig'],
}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase       :		Tuple		=				['MarianTokenizer']

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase       :		List[str]		=				[
       'MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST',
       'MarianForCausalLM',
       'MarianModel',
       'MarianMTModel',
       'MarianPreTrainedModel',
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase       :		Any		=				['TFMarianModel', 'TFMarianMTModel', 'TFMarianPreTrainedModel']

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase       :		Optional[Any]		=				['FlaxMarianModel', 'FlaxMarianMTModel', 'FlaxMarianPreTrainedModel']

if TYPE_CHECKING:
   from .configuration_marian import MARIAN_PRETRAINED_CONFIG_ARCHIVE_MAP, MarianConfig, MarianOnnxConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_marian import MarianTokenizer

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_marian import (
          MARIAN_PRETRAINED_MODEL_ARCHIVE_LIST,
          MarianForCausalLM,
          MarianModel,
          MarianMTModel,
          MarianPreTrainedModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_marian import TFMarianModel, TFMarianMTModel, TFMarianPreTrainedModel

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_marian import FlaxMarianModel, FlaxMarianMTModel, FlaxMarianPreTrainedModel

else:
   import sys

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


