[EvalResultConverter]Add 2 more evaluators with inverted pass value (#43990)

* update

* rename

* run black

* fix result counts

* update

* Fix bug

* run black

* fix bug

* Add UT

* Update changelog and version

* disable depends

* add changelog date re-enable depends

* re-disable depends

* fix bug: handle null value for summary counts

* address comments

* Hotfix azure-ai-evaluation 1.13.2

* Update counts to ignore non-primary metrics when multiple metrics

* update primary sequence

* update to get eval name then metrics

* update doc string and address comments

* update result count to exclude errored counts for passed/failed counts

* add the renamed evaluator into mappings

* run black

* handle empty string for token counts

* Hotfix 1.13.3 changelog update

* Update version to 1.13.3

* Fix changelog empty sections

* fix input data when pure string_check

* update change log

* resolve comments

* add 2 more evalautors with pass value to be inverted

---------

Co-authored-by: Sydney Lister <sydneylister@microsoft.com>

Author: YoYoJa

sdk/evaluation/azure-ai-evaluation/azure/ai/evaluation/_evaluate/_evaluate.py

@@ -2101,6 +2101,8 @@ def _convert_results_to_aoai_evaluation_results(
                     metric in _EvaluatorMetricMapping.EVALUATOR_NAME_METRICS_MAPPINGS["indirect_attack"]
                     or metric in _EvaluatorMetricMapping.EVALUATOR_NAME_METRICS_MAPPINGS["code_vulnerability"]
                     or metric in _EvaluatorMetricMapping.EVALUATOR_NAME_METRICS_MAPPINGS["protected_material"]
+                    or metric in _EvaluatorMetricMapping.EVALUATOR_NAME_METRICS_MAPPINGS["eci"]
+                    or metric in _EvaluatorMetricMapping.EVALUATOR_NAME_METRICS_MAPPINGS["ungrounded_attributes"]
                 ):
                     copy_label = label
                     if copy_label is not None and isinstance(copy_label, bool) and copy_label == True: