),
    ] = None,
    discriminator: Annotated[
        Union[str, None],
        Doc(
            """
            Parameter field name for discriminating the type in a tagged union.
            """
        ),
    ] = None,
    strict: Annotated[
        Union[bool, None],
        Doc(
            """

            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "drawStyle": "line",
            "fillOpacity": 10,
            "gradientMode": "none",
            "hideFrom": {
              "legend": false,
              "tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",

      "gridPos": {
        "h": 6,
        "w": 3,
        "x": 0,
        "y": 0
      },
      "id": 1,
      "maxDataPoints": 100,
      "options": {
        "colorMode": "value",
        "graphMode": "none",
        "justifyMode": "auto",
        "orientation": "auto",
        "reduceOptions": {
          "calcs": [
            "mean"
          ],
          "fields": "",
          "values": false
        },

            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,
            "drawStyle": "line",
            "fillOpacity": 10,
            "gradientMode": "none",
            "hideFrom": {
              "legend": false,
              "tooltip": false,
              "viz": false
            },
            "insertNulls": false,
            "lineInterpolation": "linear",

		},
	}

	jsonData := []byte(`{"three":true,"two":"foo","one":-1}
{"three":false,"two":"bar","one":null}
{"three":true,"two":"baz","one":2.5}
`)

	for i, testCase := range testTable {
		t.Run(fmt.Sprint(i), func(t *testing.T) {
			s3Select, err := NewS3Select(bytes.NewReader(testCase.requestXML))

					if kv.Match(BatchJobKV{Key: k, Value: v}) {
						return true
					}
				}
			}

			// None of the provided metadata filters match skip the object.
			return false
		}

		// if one of source or target is non MinIO, just replicate the top most version like `mc mirror`

				CheckUser(t, models3[idx], user)
			})
		}
	}

	var none []User
	if err := DB.Where("name in (?)", []string{}).Find(&none).Error; err != nil || len(none) != 0 {
		t.Errorf("errors happened when query find with in clause and zero length parameter: %v, length: %v", err, len(none))
	}
}

func TestQueryWithAssociation(t *testing.T) {

				t.Fatalf("Lifecycle validation failed - %v", err)
			}
			rules := tc.lc.FilterRules(tc.opts)
			if tc.hasRules && len(rules) == 0 {
				t.Fatalf("%d: Expected at least one rule to match but none matched", i+1)
			}
			if !tc.hasRules && len(rules) > 0 {
				t.Fatalf("%d: Expected no rules to match but got matches %v", i+1, rules)
			}
		})
	}
}

    # copybara:comment_begin(OSS Windows only: DEF file for exported symbols)
    win_def_file = select({
        "//tensorflow:windows": ":tensorflow_filtered_def_file",
        "//conditions:default": None,
    }),
    # copybara:comment_end
    deps = [
        "//tensorflow/c:c_api",
        "//tensorflow/c:c_api_experimental",
        "//tensorflow/c:exported_symbols.lds",

        // present supplied by the user. The rule is that we only allow the execution of one ConfigurationProcessor.
        // If there is more than one then we execute the one supplied by the user, otherwise we execute the
        // default SettingsXmlConfigurationProcessor.
        //