**Purpose**: Verify proper resource management in Extractor implementations.

**Key Test Areas**:
- Resource closure on successful extraction (MS Office extractors)
- Resource closure on failed extraction
- Improved error messages with context
- Input validation using `validateInputStream()`

**Covered Extractors**:
- MsWordExtractor
- MsExcelExtractor
- MsPowerPointExtractor
- TextExtractor

**Test Count**: 8 tests

      render: java
    validations:
      required: true

  - type: textarea
    attributes:
      label: How do you want it to be improved?
    validations:
      required: true

  - type: textarea
    attributes:
      label: Why do we need it to be improved?
    validations:
      required: true

  - type: textarea
    attributes:
      label: Example
      description: >

    boolean[] octets = new boolean[maxChar + 1];
    for (char c : safeCharArray) {
      octets[c] = true;
    }
    return octets;
  }

  /*
   * Overridden for performance. For unescaped strings this improved the performance of the uri
   * escaper from ~760ns to ~400ns as measured by {@link CharEscapersBenchmark}.
   */
  @Override
  protected int nextEscapeIndex(CharSequence csq, int index, int end) {

import jakarta.annotation.PostConstruct;

/**
 * Helper class for managing popular words and suggestions.
 * Provides functionality to retrieve popular words based on search parameters
 * and manages caching for improved performance.
 */
public class PopularWordHelper {
    /** Logger instance for this class */
    private static final Logger logger = LogManager.getLogger(PopularWordHelper.class);

* **Proper nouns and quotes**: Names of organizations, products, or quoted text that use different conventions

## Status

ACCEPTED

## Consequences

### Positive Consequences

* **Improved consistency**: The codebase has a uniform language standard
* **Easier onboarding**: New contributors have clear guidance on which spelling to use
* **Better searchability**: Finding code and documentation becomes more predictable

import org.codelibs.fess.crawler.exception.CrawlerSystemException;
import org.codelibs.fess.crawler.exception.ExtractException;
import org.dbflute.utflute.core.PlainTestCase;

/**
 * Enhanced test class for TextExtractor covering improved error messages and edge cases.
 */
public class TextExtractorEnhancedTest extends PlainTestCase {

    private TextExtractor textExtractor;

    @Override
    protected void setUp() throws Exception {

/**
 * Extension methods for SmbFile to support directory leasing functionality.
 *
 * This utility class provides static methods that enhance SmbFile operations with
 * directory leasing capabilities for improved performance through caching when
 * SMB3 directory leasing is available and enabled.
 */
public class SmbFileDirectoryLeasingExtension {

    /**
     * Private constructor to prevent instantiation of this utility class

name: Label Approved

on:
  schedule:
    - cron: "0 12 * * *"
  workflow_dispatch:

permissions:
  pull-requests: write

env:
  UV_SYSTEM_PYTHON: 1

jobs:
  label-approved:
    if: github.repository_owner == 'fastapi'
    runs-on: ubuntu-latest
    steps:
    - name: Dump GitHub context
      env:
        GITHUB_CONTEXT: ${{ toJson(github) }}
      run: echo "$GITHUB_CONTEXT"
    - uses: actions/checkout@v6

from pydantic import BaseModel, SecretStr
from pydantic_settings import BaseSettings


class LabelSettings(BaseModel):
    await_label: str | None = None
    number: int


default_config = {"approved-2": LabelSettings(await_label="awaiting-review", number=2)}


class Settings(BaseSettings):
    github_repository: str
    token: SecretStr
    debug: bool | None = False

| token          | string     | Token from the AssumeRoleWithCustomToken call for external verification |

### Response

If the token is valid and access is approved, the plugin must return a `200` (OK) HTTP status code.

A `200 OK` Response should have `application/json` content-type and body with the following structure:

```json
{
    "user": <string>,