import os
from distutils.util import strtobool
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase		)						->    int:



      '''simple docstring'''

      for e in env_keys:
            _lowerCamelCase			    =				int(os.environ.get(__UpperCAmelCase ,						-1		)		)
            if val >= 0:
                  return val
      return default
def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase=False		)						->    Any:



      '''simple docstring'''

      _lowerCamelCase			    =				os.environ.get(__UpperCAmelCase ,						str(__UpperCAmelCase		)		)
      return strtobool(__UpperCAmelCase		) == 1  # As its name indicates `strtobool` actually returns an int...




def       __magic_name__(  __UpperCAmelCase ,						__UpperCAmelCase="no"		)						->    int:



      '''simple docstring'''

      _lowerCamelCase			    =				os.environ.get(__UpperCAmelCase ,						str(__UpperCAmelCase		)		)
      return value
from .data_collator import (
    DataCollatorForLanguageModeling,
    DataCollatorForPermutationLanguageModeling,
    DataCollatorForSeqaSeq,
    DataCollatorForSOP,
    DataCollatorForTokenClassification,
    DataCollatorForWholeWordMask,
    DataCollatorWithPadding,
    DefaultDataCollator,
    default_data_collator,
)
from .metrics import glue_compute_metrics, xnli_compute_metrics
from .processors import (
    DataProcessor,
    InputExample,
    InputFeatures,
    SingleSentenceClassificationProcessor,
    SquadExample,
    SquadFeatures,
    SquadVaProcessor,
    SquadVaProcessor,
    glue_convert_examples_to_features,
    glue_output_modes,
    glue_processors,
    glue_tasks_num_labels,
    squad_convert_examples_to_features,
    xnli_output_modes,
    xnli_processors,
    xnli_tasks_num_labels,
)