class_docstr: Interface to the Stanford Parser
class_docstr_tok: ["Interface","to","the","Stanford","Parser"]
code: def _execute(self, cmd, input_, verbose=False):
      encoding = self._encoding
      cmd.extend(["-encoding", encoding])
      if self.corenlp_options:
          cmd.extend(self.corenlp_options.split())
  
      default_options = " ".join(_java_options)
  
      # Configure java.
      config_java(options=self.java_options, verbose=verbose)
  
      # Windows is incompatible with NamedTemporaryFile() without passing in delete=False.
      with tempfile.NamedTemporaryFile(
          mode="wb", delete=False
      ) as input_file:
          # Write the actual sentences to the temporary input file
          if isinstance(input_, str) and encoding:
              input_ = input_.encode(encoding)
          input_file.write(input_)
          input_file.flush()
  
          # Run the tagger and get the output.
          if self._USE_STDIN:
              input_file.seek(0)
              stdout, stderr = java(
                  cmd,
                  classpath=self._classpath,
                  stdin=input_file,
                  stdout=PIPE,
                  stderr=PIPE,
              )
          else:
              cmd.append(input_file.name)
              stdout, stderr = java(
                  cmd,
                  classpath=self._classpath,
                  stdout=PIPE,
                  stderr=PIPE,
              )
  
          stdout = stdout.replace(b"\xc2\xa0", b" ")
          stdout = stdout.replace(b"\x00\xa0", b" ")
          stdout = stdout.decode(encoding)
  
      os.unlink(input_file.name)
  
      # Return java configurations to their default values.
      config_java(options=default_options, verbose=False)
  
      return stdout
  
imports: import os
  import tempfile
  import warnings
  from subprocess import PIPE
  from nltk.internals import _java_options, config_java, find_jar_iter, find_jars_within_path, java
  from nltk.parse.api import ParserI
  from nltk.parse.dependencygraph import DependencyGraph
  from nltk.tree import Tree
label_desc: Use image node_id 8 for calling the GenericStanfordParser obj's underlying member method code with example usage: obj._execute(cmd, input_, verbose) and returns: stdout