Có nghĩa là: "biến `items` là một `list`, và mỗi phần tử trong danh sách này là một `str`".

!!! tip
    Nếu bạn sử dụng Python 3.9 hoặc lớn hơn, bạn không phải import `List` từ `typing`, bạn có thể sử dụng `list` để thay thế.

Bằng cách này, trình soạn thảo của bạn có thể hỗ trợ trong khi xử lí các phần tử trong danh sách:

<img src="/img/python-types/image05.png">

tasks.register("visitZip") {
    doLast {
        visitIterations.each {
            zipTree(file("archive.zip")).each {
                logger.info it.path
            }
        }
    }
}

tasks.register("visitTar") {
    doLast {
        visitIterations.each {
            tarTree(file("archive.tar")).each {
                logger.info it.path
            }
        }
    }
}

    + row.withPanels([
      panels.timeSeries.simple('Pilot Versions', queries.istioBuild, 'Version number of each running instance'),
    ]),
  ], panelHeight=5)
  + grid.makeGrid([
    row.new('Resource Usage')
    + row.withPanels([
      panels.timeSeries.bytes('Memory Usage', queries.goMemoryUsage, 'Memory usage of each running instance'),

## Build state model

As Gradle executes, it acts on various pieces of the build definition, such as each project in the build.
Gradle tracks the state of each piece and transitions each piece through its lifecycle as the build runs.

A central part of the Gradle architecture is the "build state model", which holds the state for each piece and coordinates state transitions and other mutations. 

    + row.withPanels([
      panels.timeSeries.base('Ztunnel Versions', queries.istioBuild, 'Version number of each running instance'),
      panels.timeSeries.bytes('Memory Usage', queries.memUsage, 'Memory usage of each running instance'),
      panels.timeSeries.base('CPU Usage', queries.cpuUsage, 'CPU usage of each running instance'),
    ]),
    row.new('Network')
    + row.withPanels([

    
```

These are all Java processes. Each process has a corresponding "runtime".
All source code in Gradle is written to target one or more of these runtimes.
Most source code targets the daemon and the remaining code either targets a single runtime, for example the Gradle client, or is shared across multiple runtimes.

## Composition by architecture modules

		if err != nil {
			return nil, fmt.Errorf("error reading Mach-O file %s: %v", name, err)
		}
		return f, nil
	}
	if machoMagicLittle == macho.MagicFat || machoMagicBig == macho.MagicFat {
		f, err := b.openFatMachO(name, start, limit, offset)
		if err != nil {
			return nil, fmt.Errorf("error reading fat Mach-O file %s: %v", name, err)
		}
		return f, nil
	}

2. <<nameddomainobjectset,`NamedDomainObjectSet<T>`>>: A specialization of `DomainObjectSet` where each object has a unique name associated with it. This is often used for collections where each element needs to be uniquely identified by a name.

	BIND_SUBOPCODE_THREADED_SET_BIND_ORDINAL_TABLE_SIZE_ULEB = 0x00
	BIND_SUBOPCODE_THREADED_APPLY                            = 0x01
)

const machoHeaderSize64 = 8 * 4 // size of 64-bit Mach-O header

// Mach-O file writing
// https://developer.apple.com/mac/library/DOCUMENTATION/DeveloperTools/Conceptual/MachORuntime/Reference/reference.html

var machohdr MachoHdr

var load []MachoLoad

            server.expectConcurrent(it)
        }
        configurationCacheRun ":finalized:task", "--parallel"
        configurationCache.assertStateStored()

        and: "unrequested finalizer dependencies not to run in parallel when loading the graph"
        [":finalized:dep", ":finalized:task", ":finalizer:dep", ":finalizer:task"].each {
            server.expectConcurrent(it)