/**
     * Validates a list of remote repositories to ensure data integrity.
     *
     * <p>This method performs the following validations:
     * <ul>
     *   <li>Allows null input (returns null)</li>
     *   <li>Ensures no duplicate repositories exist in the list</li>
     *   <li>Ensures no null repository entries exist in the list</li>
     * </ul>
     *

import org.gradle.api.file.ProjectLayout
import org.gradle.api.file.RegularFileProperty
import org.gradle.api.provider.Property
import org.gradle.api.tasks.CacheableTask
import org.gradle.api.tasks.Input
import org.gradle.api.tasks.InputFile
import org.gradle.api.tasks.InputFiles
import org.gradle.api.tasks.OutputFile
import org.gradle.api.tasks.PathSensitive
import org.gradle.api.tasks.PathSensitivity

     * This method filters the input URL list to return only those URLs that the specified user
     * has marked as favorites.
     *
     * @param userCode the unique code identifying the user
     * @param urlList the list of URLs to check against the user's favorites

                                                key="labels.dict_stemmeroverride_source"/></th>
                                        <td>${f:br(f:h(input))}<la:hidden property="input"/></td>
                                    </tr>
                                    <tr>
                                        <th><la:message key="labels.dict_stemmeroverride_target"/></th>

    return RESULT_DATA;
  }

  private class ChainingFunction implements AsyncFunction<Integer, String> {
    @Override
    public ListenableFuture<String> apply(Integer input) throws Exception {
      switch (input) {
        case VALID_INPUT_DATA:
          outputFuture.set(RESULT_DATA);
          break;
        case SLOW_OUTPUT_VALID_INPUT_DATA:
          break; // do nothing to the result

    return RESULT_DATA;
  }

  private class ChainingFunction implements AsyncFunction<Integer, String> {
    @Override
    public ListenableFuture<String> apply(Integer input) throws Exception {
      switch (input) {
        case VALID_INPUT_DATA:
          outputFuture.set(RESULT_DATA);
          break;
        case SLOW_OUTPUT_VALID_INPUT_DATA:
          break; // do nothing to the result

            "msg": "Field required",
            "type": "missing",
            "input": None,
        }
    ]
}
foo_is_short = {
    "detail": [
        {
            "ctx": {"min_length": 1},
            "loc": ["query", "foo"],
            "msg": "String should have at least 1 character",
            "type": "string_too_short",
            "input": "",
        }
    ]
}


@pytest.mark.parametrize(

1. Install and launch kibana.
1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.

package jstream

import (
	"fmt"
	"strconv"
)

// Predefined errors
var (
	ErrSyntax        = DecoderError{msg: "invalid character"}
	ErrUnexpectedEOF = DecoderError{msg: "unexpected end of JSON input"}
	ErrMaxDepth      = DecoderError{msg: "maximum recursion depth exceeded"}
)

type errPos [2]int // line number, byte offset where error occurred

// DecoderError contains a detailed decoding error.
type DecoderError struct {

     */
    protected EditBody createEditBody(final CharMappingItem entity, final String dictId) {
        final EditBody body = new EditBody();
        body.id = entity.getId();
        body.dictId = dictId;
        body.inputs = entity.getInputsValue();
        body.output = entity.getOutput();
        return body;
    }