class_docstr: StudioML policy for adjusting experiment dependencies
  to specific execution environment and required resources.
code: def _needs_gpu(self, resources_needed):
      return (
          resources_needed is not None
          and int(resources_needed.get("gpus")) > 0
      )
  
imports: import re
  from studio.dependencies_policies.dependencies_policy import DependencyPolicy
label_desc: Use image node_id 3 for calling the StudioDependencyPolicy obj's underlying member method code with example usage: obj._needs_gpu(resources_needed) and returns: unknown