});
                    final List<String> labelIdList = new ArrayList<>();
                    for (final ElevateWordToLabel mapping : mappingList) {
                        labelIdList.add(mapping.getLabelTypeId());
                    }
                    final LabelTypeBhv labelTypeBhv = ComponentUtil.getComponent(LabelTypeBhv.class);

        def __get_pydantic_json_schema__(
            cls, core_schema: Mapping[str, Any], handler: GetJsonSchemaHandler
        ) -> dict[str, Any]:
            return {"type": "string", "format": "email"}

        @classmethod
        def __get_pydantic_core_schema__(
            cls, source: type[Any], handler: Callable[[Any], Mapping[str, Any]]
        ) -> Mapping[str, Any]:
            return with_info_plain_validator_function(cls._validate)

                .collect(Collectors.groupingBy(Pair::getFirst, Collectors.mapping(Pair::getSecond, Collectors.toList())));
        sourceMap.put("searchField", searchFieldMap);
        final Map<String, List<String>> headerMap = headerList.stream()
                .collect(Collectors.groupingBy(Pair::getFirst, Collectors.mapping(Pair::getSecond, Collectors.toList())));
        sourceMap.put("headers", headerMap);

{
  "dynamic_templates": [
    {
      "strings": {
        "mapping": {
          "type": "keyword"
        },
        "match": "*",
        "match_mapping_type": "string"
      }
    }
  ],
  "properties": {
    "@timestamp": {
      "type": "date",
      "format": "epoch_millis"
    },
    "docFreq": {
      "type": "long"
    },
    "fields": {
      "type": "keyword"
    },
    "kinds": {

labels.purge_by_bots=Bot names to delete logs
labels.log_level=Log Level
labels.csv_file_encoding=CSV File Encoding
labels.notification_to=Notification Mail
labels.pathmap_configuration=Path Mapping
labels.pathmap_title_details=Path Mapping
labels.disabled=Disabled
labels.pathmap_pt_crawling=Crawling
labels.pathmap_pt_displaying=Displaying
labels.pathmap_pt_both=Crawling/Displaying
labels.pathmap_pt_stored=Extracted URL Conversion

 * character encodings according to configured mapping rules.
 *
 * <p>The filter intercepts requests matching configured path patterns and
 * redirects them with proper character encoding applied to parameters.</p>
 */
public class EncodingFilter implements Filter {
    /** Configuration key for encoding rules mapping */
    public static final String ENCODING_MAP = "encodingRules";

  integrity sha512-dBVuXR082gk3jsFp7Rd/JI4kytwGHecnCoTtXFb7DB6CNHp4rg5k1bhg0nWdLGLnOV71lmDzGQaLMy8iPLY0pw==

"@jridgewell/gen-mapping@^0.3.0":
  version "0.3.1"
  resolved "https://registry.yarnpkg.com/@jridgewell/gen-mapping/-/gen-mapping-0.3.1.tgz#cf92a983c83466b8c0ce9124fadeaf09f7c66ea9"
  integrity sha512-GcHwniMlA2z+WFPWuY8lp3fsza0I8xPFMWL5+n8LYyP6PSvPrXf4+n8stDHZY2DM0zy9sVkRDy1jDI4XGzYVqg==
  dependencies:

import java.util.Arrays;
import java.util.Collections;
import java.util.HashMap;
import java.util.LinkedHashMap;

import org.apache.maven.lifecycle.Lifecycle;
import org.apache.maven.lifecycle.mapping.LifecyclePhase;

/**
 * Base lifecycle provider.
 */
public abstract class AbstractLifecycleProvider implements Provider<Lifecycle> {
    private final Lifecycle lifecycle;

import sys
import types
import typing
import warnings
from collections import deque
from collections.abc import Mapping, Sequence
from dataclasses import is_dataclass
from typing import (
    Annotated,
    Any,
    Union,
)

from fastapi.types import UnionType
from pydantic import BaseModel
from pydantic.version import VERSION as PYDANTIC_VERSION
from starlette.datastructures import UploadFile

    this.columnMap = columnBuilder.buildOrThrow();
  }

  @Override
  public ImmutableMap<C, Map<R, V>> columnMap() {
    // Casts without copying.
    return ImmutableMap.copyOf(columnMap);
  }

  @Override
  public ImmutableMap<R, Map<C, V>> rowMap() {
    // Casts without copying.
    return ImmutableMap.copyOf(rowMap);
  }

  @Override
  public int size() {
    return cellRowIndices.length;
  }