Quoted   *QuotedIdentifier `parser:"| @QuotIdent"`
}

var (
	sqlLexer = lexer.Must(lexer.Regexp(`(\s+)` +
		`|(?P<Timeword>(?i)\b(?:YEAR|MONTH|DAY|HOUR|MINUTE|SECOND|TIMEZONE_HOUR|TIMEZONE_MINUTE)\b)` +

关键因素是依赖项应该是 "可调用对象"。

Python 中的 "**可调用对象**" 是指任何 Python 可以像函数一样 "调用" 的对象。

所以，如果你有一个对象 `something` (可能*不是*一个函数)，你可以 "调用" 它(执行它)，就像：

```Python
something()
```

或者

```Python
something(some_argument, some_keyword_argument="foo")
```

这就是 "可调用对象"。

## 类作为依赖项

您可能会注意到，要创建一个 Python 类的实例，您可以使用相同的语法。

举个例子:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name

        val ctMethod = method.newMethod.get()
        ktFile.kotlinDeclarationSatisfies(ctMethod.declaringClass, ctMethod) { ktMember ->
            ktMember.hasModifier(KtTokens.OVERRIDE_KEYWORD)
        }
    }

    fun isSince(version: String, member: JApiCompatibility): (KtFile) -> Boolean = { ktFile ->
        val ctMember = member.newCtMember
        val ctDeclaringClass = ctMember.declaringClass

So, we get a Pydantic model from the data in another Pydantic model.

#### Unwrapping a `dict` and extra keywords

And then adding the extra keyword argument `hashed_password=hashed_password`, like in:

```Python
UserInDB(**user_in.dict(), hashed_password=hashed_password)
```

...ends up being like:

```Python
UserInDB(

"**🇧🇲**" 🐍 🕳 👈 🐍 💪 "🤙" 💖 🔢.

, 🚥 👆 ✔️ 🎚 `something` (👈 💪 _🚫_ 🔢) & 👆 💪 "🤙" ⚫️ (🛠️ ⚫️) 💖:

```Python
something()
```

⚖️

```Python
something(some_argument, some_keyword_argument="foo")
```

⤴️ ⚫️ "🇧🇲".

## 🎓 🔗

👆 5️⃣📆 👀 👈 ✍ 👐 🐍 🎓, 👆 ⚙️ 👈 🎏 ❕.

🖼:

```Python
class Cat:
    def __init__(self, name: str):
        self.name = name

!!! tip
    Instead of passing each of the keyword arguments to `Item` and reading each one of them from the Pydantic *model*, we are generating a `dict` with the Pydantic *model*'s data with:

    `item.dict()`

    and then we are passing the `dict`'s key-value pairs as the keyword arguments to the SQLAlchemy `Item`, with:

    `Item(**item.dict())`

        }

        val parameterCount = declaration.valueParameters.size + (if (declaration.isExtensionDeclaration()) 1 else 0)

        val function = when {
            declaration.hasModifier(KtTokens.SUSPEND_KEYWORD) -> analysisContext.builtIns.getSuspendFunction(parameterCount)
            else -> analysisContext.builtIns.getFunction(parameterCount)
        }

It will take the `dict` at `result.value`, and take each of its keys and values and pass them as key-values to `UserInDB` as keyword arguments.

So, if the `dict` contains:

```Python
{
    "username": "johndoe",
    "hashed_password": "some_hash",
}
```

It will be passed to `UserInDB` as:

```Python

	Xattrs map[string]string

	// PAXRecords is a map of PAX extended header records.
	//
	// User-defined records should have keys of the following form:
	//	VENDOR.keyword
	// Where VENDOR is some namespace in all uppercase, and keyword may
	// not contain the '=' character (e.g., "GOLANG.pkg.version").
	// The key and value should be non-empty UTF-8 strings.
	//

...Python has a little special syntax for that.

Pass `*`, as the first parameter of the function.

Python won't do anything with that `*`, but it will know that all the following parameters should be called as keyword arguments (key-value pairs), also known as <abbr title="From: K-ey W-ord Arg-uments"><code>kwargs</code></abbr>. Even if they don't have a default value.

```Python hl_lines="7"