class_docstr: Build a new configuration for the experiment based on parent config.
  
  Parameters
  ----------
  conflicts: Conflicts
      Object representing a group of conflicts
  manual_resolution: bool, optional
      Starts the prompt to resolve manually the conflicts. Use system's default if not provided.
  branch_from: str, optional
      Name of the experiment to branch from.
  algorithm_change: bool, optional
      Whether to automatically solve the algorithm conflict (change of algo config).
      Defaults to True.
  code_change_type: str, optional
      How to resolve code change automatically. Must be one of 'noeffect', 'unsure' or
      'break'.  Defaults to 'break'.
  cli_change_type: str, optional
      How to resolve cli change automatically. Must be one of 'noeffect', 'unsure' or 'break'.
      Defaults to 'break'.
  config_change_type: str, optional
      How to resolve config change automatically. Must be one of 'noeffect', 'unsure' or
      'break'.  Defaults to 'break'.
docstr: Return True if all the current conflicts have been resolved
docstr_tok: ["Return","True","if","all","the","current","conflicts","have","been","resolved"]
code: def is_resolved(self):
      """Return True if all the current conflicts have been resolved"""
      return self.conflicts.are_resolved
  
imports: import logging
  import orion.core
  from orion.algo.space import Dimension
  from orion.core.evc import conflicts
  from orion.core.evc.adapters import CompositeAdapter
label_desc: Use image node_id 5 for calling the ExperimentBranchBuilder obj's underlying member method code with example usage: obj.is_resolved() and returns: self