* This is especially useful if you run `await myfile.read()` once and then need to read the contents again.
* `close()`: Closes the file.

As all these methods are `async` methods, you need to "await" them.

For example, inside of an `async` *path operation function* you can get the contents with:

```Python
contents = await myfile.read()
```

			content.StorageClass = filterStorageClass(ctx, object.StorageClass)
		} else {
			content.StorageClass = globalMinioDefaultStorageClass
		}
		content.Owner = owner
		contents = append(contents, content)
	}
	data.Name = bucket
	data.Contents = contents

	data.EncodingType = encodingType
	data.Prefix = s3EncodeName(prefix, encodingType)
	data.Marker = s3EncodeName(marker, encodingType)

    builder.add(-1);
    Object[] prevArray = null;
    for (int i = 0; i < 10; i++) {
      builder.add(i);
      assertNotSame(builder.contents, prevArray);
      prevArray = builder.contents;
      ImmutableSet<Integer> unused = builder.build();
    }
  }

  @GwtIncompatible("Builder impl")
  public void testPresizedBuilderDedups() {

name: "Validate Gradle Wrapper"
on: [push, pull_request]

permissions:
  contents: read

jobs:
  validation:
    name: "Validation"
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@11bd71901bbe5b1630ceea73d27597364c9af683 # v4.2.2

name: CI

on:
  push:
    branches:
      - master
  pull_request:
    branches:
      - master

permissions:
  contents: read

jobs:
  test:
    permissions:
      actions: write  # for styfle/cancel-workflow-action to cancel/stop running workflows
      contents: read  # for actions/checkout to fetch code
    name: "${{ matrix.root-pom }} on JDK ${{ matrix.java }} on ${{ matrix.os }}"
    strategy:
      matrix:

import java.util.HashMap;
import java.util.Map;

import org.codelibs.fess.es.config.allcommon.EsAbstractEntity;
import org.codelibs.fess.es.config.bsentity.dbmeta.PathMappingDbm;

/**
 * ${table.comment}
 * @author ESFlute (using FreeGen)
 */
public class BsPathMapping extends EsAbstractEntity {

    // ===================================================================================

	} DfsEnumArray1;

	typedef struct {
		uint32_t state;
		[string] wchar_t *server_name;
		[string] wchar_t *share_name;
	} DfsStorageInfo;

	typedef struct {
		[string] wchar_t *path;
		[string] wchar_t *comment;
		uint32_t state;
		uint32_t num_stores;
		[size_is(num_stores)] DfsStorageInfo *stores;
	} DfsInfo3;

	typedef struct {
		uint32_t count;
		[size_is(count)] DfsInfo3 *s;
	} DfsEnumArray3;

It won't do any data conversion with Pydantic models, it won't convert the contents to any type, etc.

This gives you a lot of flexibility. You can return any data type, override any data declaration or validation, etc.

## Using the `jsonable_encoder` in a `Response`

Because **FastAPI** doesn't make any changes to a `Response` you return, you have to make sure its contents are ready for it.

 */
package org.codelibs.fess.timer;

import java.io.IOException;
import java.io.PrintWriter;
import java.util.Arrays;
import java.util.function.Supplier;

import org.apache.commons.io.output.ByteArrayOutputStream;
import org.apache.commons.text.StringEscapeUtils;
import org.codelibs.core.timer.TimeoutTarget;
import org.codelibs.fess.Constants;
import org.codelibs.fess.helper.SystemHelper;

  workflow_dispatch: # Allows manual triggering of the action
  schedule: # Runs the action on the first day of every month at 3:42 UTC
    - cron: '42 3 1 * *'

permissions:
  contents: write
  pull-requests: write

jobs:
  update-jdks:
    permissions:
      contents: write
      pull-requests: write
    runs-on: ubuntu-latest
    steps:
      - name: Checkout repository
        uses: actions/checkout@v3
        with: