}

	for i, testCase := range testCases {
		// creating an input HTTP request.
		// Only the headers are relevant for this particular test.
		inputReq, err := http.NewRequest(http.MethodGet, "http://example.com", nil)
		if err != nil {
			t.Fatalf("Error initializing input HTTP request: %v", err)
		}
		if testCase.inputQueryKey != "" {
			q := inputReq.URL.Query()

   * input element is mapped to one cell in the returned table, with the rows, columns, and values
   * generated by applying the specified functions.
   *
   * <p>The returned {@code Collector} will throw a {@code NullPointerException} at collection time
   * if the row, column, or value functions return null on any input.
   *
   * @since 33.2.0 (available since 21.0 in guava-jre)
   */

    /**
     * Calculates the effective repositories for the given input repositories which are assumed to be already mirrored
     * (if applicable). This process will essentially remove duplicate repositories by merging them into one equivalent
     * repository. It is worth to point out that merging does not simply choose one of the input repositories and
     * discards the others but actually combines their possibly different policies.

        }

        for (final Pattern pattern : includedDocUrlPatterns) {
            if (pattern.matcher(input).matches()) {
                return Constants.TRUE;
            }
        }

        for (final Pattern pattern : excludedDocUrlPatterns) {
            if (pattern.matcher(input).matches()) {
                return Constants.FALSE;
            }
        }

        return Constants.TRUE;
    }

		}
	}
	return nil
}

// Empty indicates if kv is not set
func (kv BatchJobKV) Empty() bool {
	return kv.Key == "" && kv.Value == ""
}

// Match matches input kv with kv, value will be wildcard matched depending on the user input
func (kv BatchJobKV) Match(ikv BatchJobKV) bool {
	if kv.Empty() {
		return true
	}
	if strings.EqualFold(kv.Key, ikv.Key) {
		return wildcard.Match(kv.Value, ikv.Value)
	}

    /**
     * Opens an input stream reading the file (read only)
     * 
     * @param flags
     *            open flags
     * @param access
     *            desired access flags
     * @param sharing
     *            flags indicating for which operations others may open the file (FILE_SHARING_*)
     * @return input stream, needs to be closed when finished
     * @throws CIFSException

        {
            "detail": [
                {
                    "type": "greater_than",
                    "loc": ["body", "item", "price"],
                    "msg": "Input should be greater than 0",
                    "input": -3.0,
                    "ctx": {"gt": 0.0},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {

import (
	"testing"
)

func TestEvalSQLLike(t *testing.T) {
	dropCases := []struct {
		input, resultExpected string
		matchExpected         bool
	}{
		{"", "", false},
		{"a", "", true},
		{"ab", "b", true},
		{"தமிழ்", "மிழ்", true},
	}

	for i, tc := range dropCases {
		res, ok := dropRune(tc.input)
		if res != tc.resultExpected || ok != tc.matchExpected {
			t.Errorf("DropRune Case %d failed", i)
		}

    validations:
      required: true
  - type: input
    id: gradle-version
    attributes:
      label: Gradle version
      description: What version of Gradle are you running?
    validations:
      required: true
  - type: input
    id: build-scan-url
    attributes:
      label: Build scan URL (optional)
      description: |

  }
};

// An abstract operation describes an operation by its type, name, and
// attributes. It can be "executed" by the context with some input tensors.
// It is allowed to reusing the same abstract operation for multiple execution
// on a given context, with the same or different input tensors.
class TracingOperation : public AbstractOperation {
 protected:
  explicit TracingOperation(AbstractOperationKind kind)