cache-from: type=registry,ref=tensorflow/build:${{ steps.vars.outputs.REF }}-${{ matrix.python-version }}
          cache-to: type=inline
      -
        name: Image digest

cUrl-like Java Client
[![Java CI with Maven](https://github.com/codelibs/curl4j/actions/workflows/maven.yml/badge.svg)](https://github.com/codelibs/curl4j/actions/workflows/maven.yml)
=====================

curl4j is a simple cUrl-like Java client.

## Version

[Versions in Maven Repository](https://repo1.maven.org/maven2/org/codelibs/curl4j/)

## Using Maven

Put the following block into pom.xml if using Maven:

    <dependency>

# JSON Compatible Encoder

There are some cases where you might need to convert a data type (like a Pydantic model) to something compatible with JSON (like a `dict`, `list`, etc).

For example, if you need to store it in a database.

For that, **FastAPI** provides a `jsonable_encoder()` function.

## Using the `jsonable_encoder`

Let's imagine that you have a database `fake_db` that only receives JSON compatible data.

	QueueStats       ReplicationQueueStats  `json:"queueStats"` // replication queue stats
	ProxyStats       ProxyMetric            `json:"proxyStats"`
}

// BucketReplicationStats represents inline replication statistics
// such as pending, failed and completed bytes in total for a bucket
type BucketReplicationStats struct {
	Stats map[string]*BucketReplicationStat `json:",omitempty"`
	// Completed size in bytes

					onlineDisks[index] = disks[index]
				} else {
					onlineDisks[index] = nil
				}
			}
			return onlineDisks, modTime, etag
		}
	}

	// Create a new online disks slice, which have common uuid.
	for index, t := range modTimes {
		if partsMetadata[index].IsValid() && t.Equal(modTime) {
			onlineDisks[index] = disks[index]
		} else {
			onlineDisks[index] = nil
		}

	}

	if name != "groupby" || total != 60 {
		t.Errorf("name should be groupby, but got %v, total should be 60, but got %v", name, total)
	}

	if err := DB.Model(&User{}).Select("name, sum(age) as total").Where("name LIKE ?", "groupby%").Group("name").Having("name = ?", "groupby1").Row().Scan(&name, &total); err != nil {
		t.Errorf("no error should happen, but got %v", err)
	}

	if name != "groupby1" || total != 660 {

### Project file structure

Let's say your project file structure looks like this:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
```

Now create a directory to store those static files.

Your new file structure could look like this:

```
.
├── app
│   ├── __init__.py
│   ├── main.py
└── static/
```

### Download the files

	// Returns underlying endpoint of this lock client instance.
	String() string

	// Close closes any underlying connection to the service endpoint
	Close() error

	// Is the underlying connection online? (is always true for any local lockers)
	IsOnline() bool

	// Is the underlying locker local to this server?
	IsLocal() bool

                                            <la:form action="/admin/backup/upload/" enctype="multipart/form-data"
                                                     styleClass="form-inline">
                                                <label for="bulkFile" class="mb-2 mr-2"><la:message
                                                        key="labels.backup_bulk_file"/></label>

			errs, bucket, object, versionID), err
	}

	cleanFileInfo := func(fi FileInfo) FileInfo {
		// Returns a copy of the 'fi' with erasure index, checksums and inline data niled.
		nfi := fi
		if !nfi.IsRemote() {
			nfi.Data = nil
			nfi.Erasure.Index = 0
			nfi.Erasure.Checksums = nil
		}
		return nfi
	}