{
    "title": "Murder on the Orient Express",
    "authorInfo": {
        "name": "Agatha Christie",
        "yearRange": [1890, 1976],
        "penName": "Mary Westmacott"
    },
    "genre": "Crime novel",
    "publicationHistory": [
        {
            "year": 1934,
            "publisher": "Collins Crime Club (London)",
            "type": "Hardcover",
            "pages": 256
        },
        {
            "year": 1934,

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

`**second_user_data` means:

Pass the keys and values of the `second_user_data` dict directly as key-value arguments, equivalent to: `User(id=4, name="Mary", joined="2018-11-30")`

///

### Editor support

my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

`**second_user_data` ⛓:

🚶‍♀️ 🔑 & 💲 `second_user_data` #️⃣ 🔗 🔑-💲 ❌, 🌓: `User(id=4, name="Mary", joined="2018-11-30")`

///

### 👨‍🎨 🐕‍🦺

my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```


/// info

`**second_user_data` 意思是:

直接将`second_user_data`字典的键和值直接作为key-value参数传递，等同于：`User(id=4, name="Mary", joined="2018-11-30")`

///

### 编辑器支持

整个框架都被设计得易于使用且直观，所有的决定都在开发之前就在多个编辑器上进行了测试，来确保最佳的开发体验。

Some of the tasks they can perform include:

* Adding labels to PRs.
* Editing PR titles.
* Adding commits on top of PRs to tweak them.
* Mark answers in GitHub Discussions questions, etc.
* Merge some specific types of PRs.

You can see the current team members in [FastAPI People - Team](./fastapi-people.md#team){.internal-link target=_blank}.

 */

package com.google.common.math;

import java.math.BigInteger;
import java.util.Random;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *

-A PREROUTING -p tcp -m mark --mark 1337 -j CONNMARK --save-mark
-A OUTPUT -p tcp -o lo -m mark --mark 1337 -j RETURN
-A OUTPUT ! -d 127.0.0.1/32 -p tcp -o lo -m owner --uid-owner 1337 -j MARK --set-mark 1338
-A OUTPUT ! -d 127.0.0.1/32 -p tcp -o lo -m owner --gid-owner 1337 -j MARK --set-mark 1338
-A OUTPUT -p tcp -m connmark --mark 1337 -j CONNMARK --restore-mark
-I ISTIO_INBOUND 1 -p tcp -m mark --mark 1337 -j RETURN

-A PREROUTING -p tcp -m mark --mark 1337 -j CONNMARK --save-mark
-A OUTPUT -p tcp -o lo -m mark --mark 1337 -j RETURN
-A OUTPUT ! -d 127.0.0.1/32 -p tcp -o lo -m owner --uid-owner 1000670000 -j MARK --set-mark 1338
-A OUTPUT ! -d 127.0.0.1/32 -p tcp -o lo -m owner --gid-owner 1000670001 -j MARK --set-mark 1338
-A OUTPUT -p tcp -m connmark --mark 1337 -j CONNMARK --restore-mark
-I ISTIO_INBOUND 1 -p tcp -m mark --mark 1337 -j RETURN

-A PREROUTING -j ISTIO_PRERT
-A OUTPUT -j ISTIO_OUTPUT
-A ISTIO_OUTPUT -m connmark --mark 0x111/0xfff -j CONNMARK --restore-mark --nfmask 0xffffffff --ctmask 0xffffffff
COMMIT
* nat
-N ISTIO_OUTPUT
-N ISTIO_PRERT
-A OUTPUT -j ISTIO_OUTPUT
-A PREROUTING -j ISTIO_PRERT
-A ISTIO_OUTPUT -d 169.254.7.127 -p tcp -m tcp -j ACCEPT
-A ISTIO_OUTPUT -p tcp -m mark --mark 0x111/0xfff -j ACCEPT
-A ISTIO_OUTPUT ! -d 127.0.0.1/32 -o lo -j ACCEPT

import (
	"database/sql"
	"time"

	"gorm.io/gorm"
)

// User has one `Account` (has one), many `Pets` (has many) and `Toys` (has many - polymorphic)
// He works in a Company (belongs to), he has a Manager (belongs to - single-table), and also managed a Team (has many - single-table)
// He speaks many languages (many to many) and has many friends (many to many - single-table)
// His pet also has one Toy (has one - polymorphic)