print(user_dict)
```

we would get a Python `dict` with:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Unpacking a `dict` { #unpacking-a-dict }

If we take a `dict` like `user_dict` and pass it to a function (or class) with `**user_dict`, Python will "unpack" it. It will pass the keys and values of the `user_dict` directly as key-value arguments.

            assertOutputContains(firstResult.output, "Unpacking $expectedArchiveName using $transformType")
            // run against up-to-date transformations
            gradleRunner('clean', 'getJdk', '-i', '--warning-mode', 'all', '-g', commonGradleUserHome).build()
        }

        then:
        result.output.contains("Unpacking $expectedArchiveName using $transformType") == false

        where:

print(user_dict)
```

我們會得到一個 Python `dict`：

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### 解包 `dict` { #unpacking-a-dict }

若將像 `user_dict` 這樣的 `dict` 以 `**user_dict` 傳給函式（或類別），Python 會將其「解包」，把 `user_dict` 的鍵和值直接當作具名引數傳入。

因此，延續上面的 `user_dict`，寫成：

```Python
UserInDB(**user_dict)
```

效果等同於：

```Python

  # "Tag: <new whl tag>"
  sed -i "s/^Tag:.*/Tag: ${whl_tag}/g" "${pkg_name}"/"${pkg_name}".dist-info/WHEEL

  # Repack the wheel. When repacking, the wheel would be automatically tagged
  # with the new tag we provided in ${whl_tag}. Repacking also regnerates the
  # RECORD file which contains hashes of all included files.
  python3 -m wheel pack "${pkg_name}"
done

You might want to have some predefined responses that apply to many *path operations*, but you want to combine them with custom responses needed by each *path operation*.

For those cases, you can use the Python technique of "unpacking" a `dict` with `**dict_to_unpack`:

```Python
old_dict = {
    "old key": "old value",
    "second old key": "second old value",
}
new_dict = {**old_dict, "new key": "new value"}
```

	AmzObjectLockBypassGovernance = "X-Amz-Bypass-Governance-Retention"
	AmzBucketReplicationStatus    = "X-Amz-Replication-Status"

	// AmzSnowballExtract will trigger unpacking of an archive content
	AmzSnowballExtract = "X-Amz-Meta-Snowball-Auto-Extract"
	// MinIOSnowballIgnoreDirs will skip creating empty directory objects.
	MinIOSnowballIgnoreDirs = "X-Amz-Meta-Minio-Snowball-Ignore-Dirs"

import org.jspecify.annotations.Nullable;

/**
 * A hash function is a collision-averse pure function that maps an arbitrary block of data to a
 * number called a <i>hash code</i>.
 *
 * <h3>Definition</h3>
 *
 * <p>Unpacking this definition:
 *
 * <ul>
 *   <li><b>block of data:</b> the input for a hash function is always, in concept, an ordered byte
 *       array. This hashing API accepts an arbitrary sequence of byte and multibyte values (via

      if (casValue(this, null, valueToSet)) {
        // the listener is responsible for calling completeWithFuture, directExecutor is appropriate
        // since all we are doing is unpacking a completed future which should be fast.
        try {
          future.addListener(valueToSet, DirectExecutor.INSTANCE);
        } catch (Throwable t) {

```

ми отримаємо Python `dict` з:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Розпакування `dict` { #unpacking-a-dict }

Якщо взяти `dict`, наприклад `user_dict`, і передати його у функцію (або клас) як `**user_dict`, Python «розпакує» його. Ключі та значення `user_dict` будуть передані безпосередньо як іменовані аргументи.

in accord with this section must be in a format that is publicly
documented (and with an implementation available to the public in
source code form), and must require no special password or key for
unpacking, reading or copying.

  7. Additional Terms.

  "Additional permissions" are terms that supplement the terms of this
License by making exceptions from one or more of its conditions.