routeSelector.next()
    }
  }

  @Test fun singleRouteReturnsFailedRoute() {
    val address = factory.newAddress()
    var routeSelector = newRouteSelector(address)
    assertThat(routeSelector.hasNext()).isTrue()
    dns[uriHost] = dns.allocate(1)
    var selection = routeSelector.next()
    val route = selection.next()
    routeDatabase.failed(route)
    routeSelector = newRouteSelector(address)

///

### Create the `Settings` object { #create-the-settings-object }

Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.

The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.

```plaintext
C:\Program Files\Python312\Scripts;C:\Program Files\Python312;C:\Windows\System32;C:\opt\custompython\bin
```

Như vậy, khi bạn gõ `python` trong terminal, hệ thống sẽ tìm thấy chương trình Python trong `C:\opt\custompython\bin` (thư mục cuối) và sử dụng nó.

////

Vậy, nếu bạn gõ:

<div class="termy">

```console
$ python
```

</div>

//// tab | Linux, macOS

	"gorm.io/gorm/clause"
)

func TestLimit(t *testing.T) {
	limit0 := 0
	limit10 := 10
	limit50 := 50
	limitNeg10 := -10
	results := []struct {
		Clauses []clause.Interface
		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{clause.Select{}, clause.From{}, clause.Limit{
				Limit:  &limit10,
				Offset: 20,
			}},
			"SELECT * FROM `users` LIMIT ? OFFSET ?",
			[]interface{}{limit10, 20},

package clause_test

import (
	"fmt"
	"testing"

	"gorm.io/gorm/clause"
)

func TestFrom(t *testing.T) {
	results := []struct {
		Clauses []clause.Interface
		Result  string
		Vars    []interface{}
	}{
		{
			[]clause.Interface{clause.Select{}, clause.From{}},
			"SELECT * FROM `users`", nil,
		},
		{
			[]clause.Interface{
				clause.Select{}, clause.From{
					Tables: []clause.Table{{Name: "users"}},

		}
		shiftDelimiter++
	}

	if continuousBacktick > 0 && !selfQuoted {
		writer.WriteString("``")
	}
	writer.WriteByte('`')
}

func (DummyDialector) Explain(sql string, vars ...interface{}) string {
	return logger.ExplainSQL(sql, nil, `"`, vars...)
}

func (DummyDialector) DataTypeOf(*schema.Field) string {
	return ""
}

func (d DummyDialector) Translate(err error) error {
	return d.TranslatedErr

  override fun close() = source().closeQuietly()

  internal class BomAwareReader(
    private val source: BufferedSource,
    private val charset: Charset,
  ) : Reader() {
    private var closed: Boolean = false
    private var delegate: Reader? = null

    @Throws(IOException::class)
    override fun read(
      cbuf: CharArray,
      off: Int,
      len: Int,
    ): Int {

That should make more sense now. ✨

All that is what powers FastAPI (through Starlette) and what makes it have such an impressive performance.

## Very Technical Details { #very-technical-details }

/// warning

You can probably skip this.

These are very technical details of how **FastAPI** works underneath.

They are, more or less, at opposite ends, complementing each other.

Requests has a very simple and intuitive design, it's very easy to use, with sensible defaults. But at the same time, it's very powerful and customizable.

That's why, as said in the official website:

> Requests is one of the most downloaded Python packages of all time

The way you use it is very simple. For example, to do a `GET` request, you would write:

```Python

Package: fess
Version: [[version]]
Architecture: all
Maintainer: Fess Team
Depends: libc6, adduser
Section: web
Priority: optional
Homepage: https://github.com/codelibs/fess
Description: Enterprise Search Server: Fess