errorCounts := make(map[error]int)
	for _, err := range errs {
		if IsErrIgnored(err, ignoredErrs...) {
			continue
		}
		// Errors due to context cancellation may be wrapped - group them by context.Canceled.
		if errors.Is(err, context.Canceled) {
			errorCounts[context.Canceled]++
			continue
		}
		errorCounts[err]++
	}

	maxCnt := 0

    }

    public void setErrorCount_Avg(ConditionOptionCall<AvgAggregationBuilder> opLambda) {
        setErrorCount_Avg("errorCount", opLambda);
    }

    public void setErrorCount_Avg(String name, ConditionOptionCall<AvgAggregationBuilder> opLambda) {
        AvgAggregationBuilder builder = regAvgA(name, "errorCount");
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

                            // Verify consistency
                            if (!"concurrentRule".equals(ruleId)) {
                                errorCount.incrementAndGet();
                            }
                            if (proc != processor) {
                                errorCount.incrementAndGet();
                            }

                            // Occasionally update (half the threads)

            false, "keyword", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnErrorCount = cci("errorCount", "errorCount", null, null, Integer.class, "errorCount", null, false,
            false, false, "Integer", 0, 0, null, null, false, null, null, null, null, null, false);

                    // reset count
                    errorCount = 0;
                } catch (final Exception e) {
                    if (errorCount > maxErrorCount) {
                        throw e;
                    }
                    errorCount++;
                    logger.warn("Failed to access AccessResult data. Retrying... (attempt={}/{})", errorCount, maxErrorCount, e);
                } finally {

                        errorCount.incrementAndGet();
                    } finally {
                        endLatch.countDown();
                    }
                }
            });
        }

        startLatch.countDown();
        endLatch.await(10, TimeUnit.SECONDS);
        executor.shutdown();

        assertEquals(0, errorCount.get());

                                        <tr>
                                            <th><la:message key="labels.failure_url_error_count"/></th>
                                            <td>${f:h(errorCount)}<la:hidden property="errorCount"/></td>
                                        </tr>
                                        <tr>
                                            <th><la:message

            // Should have errors (not just warnings)
            assertTrue(result.errorCount() > 0, "Downgrade should result in errors");
            assertFalse(result.success(), "Downgrade should not be successful");
            assertEquals(1, result.errorCount(), "Should have exactly one error");
        }

        @Test

labels.configParameter=Config Parameter
labels.content=Content
labels.csvFileEncoding=CSV Encoding
labels.defaultLabelValue=Default Label
labels.designFileName=File Name
labels.incrementalCrawling=Check Last Modified
labels.errorCount=Error Count
labels.errorLog=Error Log
labels.errorName=Error Name
labels.expiredTime=Expired Time
labels.expires=Expires
labels.failureCountThreshold=Failure Count
labels.fileConfigName=File Crawl Config Name

labels.configId=配置ID
labels.configParameter=配置參數
labels.content=內容
labels.csvFileEncoding=CSV編碼
labels.defaultLabelValue=預設標籤
labels.designFileName=檔案名稱
labels.incrementalCrawling=檢查上次修改時間
labels.errorCount=錯誤數
labels.errorLog=錯誤日誌
labels.errorName=錯誤名稱
labels.expiredTime=有效期
labels.expires=過期
labels.failureCountThreshold=失敗次數
labels.fileConfigName=檔案爬網配置名稱
labels.fileName=檔案名稱
labels.handlerName=處理程式名稱