original_docstring: Calculates the Crispness Index, which is used to quantify how crisp (or conversely how fuzzy) a probability image is.
  
          Keyword arguments:
  
          i -- Input raster file. 
          output -- Optional output html file (default name will be based on input file if unspecified). 
          callback -- Custom functon for handling tool text outputs.
          
docstring: Calculates the Crispness Index, which is used to quantify how crisp (or conversely how fuzzy) a probability image is.
  Keyword arguments.
  
  - Input raster file.
  output -- Optional output html file (default name will be based on input file if unspecified).
  callback -- Custom functon for handling tool text outputs.
docstring_tokens: Calculates the Crispness Index which is used to quantify how crisp ( or conversely how fuzzy ) a probability image is . Keyword arguments . - Input raster file . output -- Optional output html file ( default name will be based on input file if unspecified ) . callback -- Custom functon for handling tool text outputs .
code: def crispness_index(self, i, output=None, callback=default_callback):
          """Calculates the Crispness Index, which is used to quantify how crisp (or conversely how fuzzy) a probability image is.
  
          Keyword arguments:
  
          i -- Input raster file. 
          output -- Optional output html file (default name will be based on input file if unspecified). 
          callback -- Custom functon for handling tool text outputs.
          """
          args = []
          args.append("--input='{}'".format(i))
          if output is not None: args.append("--output='{}'".format(output))
          return self.run_tool('crispness_index', args, callback)
code_tokens: def crispness_index ( self , i , output = None , callback = default_callback ) : args = [ ] args . append ( "--input='{}'" . format ( i ) ) if output is not None : args . append ( "--output='{}'" . format ( output ) ) return self . run_tool ( 'crispness_index' , args , callback )
short_docstring: Calculates the Crispness Index, which is used to quantify how crisp (or conversely how fuzzy) a probability image is.
short_docstring_tokens: Calculates the Crispness Index which is used to quantify how crisp ( or conversely how fuzzy ) a probability image is .
comment: """Calculates the Crispness Index, which is used to quantify how crisp (or conversely how fuzzy) a probability image is.
  
          Keyword arguments:
  
          i -- Input raster file. 
          output -- Optional output html file (default name will be based on input file if unspecified). 
          callback -- Custom functon for handling tool text outputs.
          """