'''simple docstring'''
from argparse import ArgumentParser

from ..pipelines import Pipeline, PipelineDataFormat, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand


lowercase__  :      Optional[int]        =					logging.get_logger(__name__)  # pylint: disable=invalid-name



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      if not path:
            return "pipe"

      for ext in PipelineDataFormat.SUPPORTED_FORMATS:
            if path.endswith(_UpperCamelCase					):
                  return ext

      raise Exception(
          F"""Unable to determine file format from file extension {path}. """
          F"""Please provide the format through --format {PipelineDataFormat.SUPPORTED_FORMATS}"""					)



def  __lowerCamelCase       (      _UpperCamelCase  :  int					):


      '''simple docstring'''


      UpperCAmelCase_            =  pipeline(
          task=args.task							,    model=args.model if args.model else None							,    config=args.config							,    tokenizer=args.tokenizer							,    device=args.device							,    )
      UpperCAmelCase_            =  try_infer_format_from_ext(args.input					) if args.format == '''infer''' else args.format
      UpperCAmelCase_            =  PipelineDataFormat.from_str(
          format=_UpperCamelCase							,    output_path=args.output							,    input_path=args.input							,    column=args.column if args.column else nlp.default_input_names							,    overwrite=args.overwrite							,    )
      return RunCommand(_UpperCamelCase							,    _UpperCamelCase					)







class lowerCamelCase							(	lowerCamelCase					):




  '''simple docstring'''



  def __init__(      self			:       Any  ,							UpperCAmelCase__			:       Pipeline  ,							UpperCAmelCase__			:       PipelineDataFormat  )				->str:
        UpperCAmelCase_            =  nlp
        UpperCAmelCase_            =  reader






  @staticmethod
  def  lowerCAmelCase__ (      UpperCAmelCase__			:       ArgumentParser  )				->Optional[Any]:
        UpperCAmelCase_            =  parser.add_parser('''run'''  ,							help='''Run a pipeline through the CLI'''  )
        run_parser.add_argument('''--task'''  ,							choices=get_supported_tasks()  ,							help='''Task to run'''  )
        run_parser.add_argument('''--input'''  ,							type=UpperCAmelCase__  ,							help='''Path to the file to use for inference'''  )
        run_parser.add_argument('''--output'''  ,							type=UpperCAmelCase__  ,							help='''Path to the file that will be used post to write results.'''  )
        run_parser.add_argument('''--model'''  ,							type=UpperCAmelCase__  ,							help='''Name or path to the model to instantiate.'''  )
        run_parser.add_argument('''--config'''  ,							type=UpperCAmelCase__  ,							help='''Name or path to the model\'s config to instantiate.'''  )
        run_parser.add_argument(
            '''--tokenizer'''  ,							type=UpperCAmelCase__  ,							help='''Name of the tokenizer to use. (default: same as the model name)'''  )
        run_parser.add_argument(
            '''--column'''  ,							type=UpperCAmelCase__  ,							help='''Name of the column to use as input. (For multi columns input as QA use column1,columns2)'''  ,							)
        run_parser.add_argument(
            '''--format'''  ,							type=UpperCAmelCase__  ,							default='''infer'''  ,							choices=PipelineDataFormat.SUPPORTED_FORMATS  ,							help='''Input format to read from'''  ,							)
        run_parser.add_argument(
            '''--device'''  ,							type=UpperCAmelCase__  ,							default=-1  ,							help='''Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)'''  ,							)
        run_parser.add_argument('''--overwrite'''  ,							action='''store_true'''  ,							help='''Allow overwriting the output file.'''  )
        run_parser.set_defaults(func=UpperCAmelCase__  )






  def  lowerCAmelCase__ (      self			:       str  )				->Dict:
        UpperCAmelCase_      ,		UpperCAmelCase_            =  self._nlp, []

        for entry in self._reader:
              UpperCAmelCase_            =  nlp(**UpperCAmelCase__  ) if self._reader.is_multi_columns else nlp(UpperCAmelCase__  )
              if isinstance(UpperCAmelCase__  ,							UpperCAmelCase__  ):
                    outputs.append(UpperCAmelCase__  )
              else:
                    outputs += output

        # Saving data
        if self._nlp.binary_output:
              UpperCAmelCase_            =  self._reader.save_binary(UpperCAmelCase__  )
              logger.warning(f"""Current pipeline requires output to be in binary format, saving at {binary_path}"""  )
        else:
              self._reader.save(UpperCAmelCase__  )






'''simple docstring'''
import re



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      return [char.split() for char in re.split(R'''[^ a-z A-Z 0-9 \s]'''							,    str_					)]



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      UpperCAmelCase_            =  split_input(str_					)
      return "".join(
          [''''''.join([char.capitalize() for char in sub_str]					) for sub_str in string_split]					)



def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  bool							,    _UpperCamelCase  :  str					):


      '''simple docstring'''


      try:
            UpperCAmelCase_            =  split_input(_UpperCamelCase					)
            if upper:
                  UpperCAmelCase_            =  ''''''.join(
                      [
                          separator.join([char.upper() for char in sub_str]					)
                          for sub_str in string_split
                      ]					)
            else:
                  UpperCAmelCase_            =  ''''''.join(
                      [
                          separator.join([char.lower() for char in sub_str]					)
                          for sub_str in string_split
                      ]					)
            return res_str
      except IndexError:
            return "not valid string"



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      return to_simple_case(_UpperCamelCase					)



def  __lowerCamelCase       (      _UpperCamelCase  :  str					):


      '''simple docstring'''


      try:
            UpperCAmelCase_            =  to_simple_case(_UpperCamelCase					)
            return res_str[0].lower() + res_str[1:]
      except IndexError:
            return "not valid string"



def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  bool					):


      '''simple docstring'''


      return to_complex_case(_UpperCamelCase							,    _UpperCamelCase							,    '''_'''					)



def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  bool					):


      '''simple docstring'''


      return to_complex_case(_UpperCamelCase							,    _UpperCamelCase							,    '''-'''					)


if __name__ == "__main__":
      __import__("doctest").testmod()





