class_docstr: Provides request headers indicating the type of Databricks environment from which a request
  was made.
class_docstr_tok: ["Provides","request","headers","indicating","the","type","of","Databricks","environment","from","which","a","request","was","made","."]
code: def in_context(self):
      return (
          databricks_utils.is_in_cluster()
          or databricks_utils.is_in_databricks_notebook()
          or databricks_utils.is_in_databricks_job()
      )
  
imports: from mlflow.tracking.request_header.abstract_request_header_provider import RequestHeaderProvider
  from mlflow.utils import databricks_utils
label_desc: Use image node_id 1 for calling the DatabricksRequestHeaderProvider obj's underlying member method code with example usage: obj.in_context() and returns: unknown