birth: 1990, 4. school: 'No.1 Middle School', 5. height: 1.70, 6. weight: 65, 7. score: null 8. }; JavaScript用一个 {…} 表示一个对象，键值对以 xxx: xxx 形式申明，用 , 隔开。注意，最 后一个键值对不需要在末尾加 , ，如果加了，有的浏览器（如低版本的IE）将报错。 birth: 1990, 4. school: 'No.1 Middle School', 5. height: 1.70, 6. weight: 65, 7. score: null 8. }; 2.5 对象 - 32 - 本文档使用 书栈(BookStack.CN) 构建 9. 'name' in xiaoming; // true 10. 'grade' lazy_sum() 时，每次调用都会返回一个新的函数，即使传入相同的参 数： 1. var f1 = lazy_sum([1, 2, 3, 4, 5]); 2. var f2 = lazy_sum([1, 2, 3, 4, 5]); 3. f1 === f2; // false f1() 和 f2() 的调用结果互不影响。 注意到返回的函数在其定义内部引用了局部变量 arr

type. "Fast" arrays like NumPy arrays that store elements in-place (i.e., dtype is np.float64, [('f1', np.uint64), ('f2', np.int32)], etc.) can be rep- resented by Array{T} where T is a concrete, immutable Musical Keyboard U+1F3BA \:trumpet: Trumpet U+1F3BB \:violin: Violin U+1F3BC \:musical_score: Musical Score U+1F3BD \:run- ning_shirt_with_sash: Running Shirt With Sash U+1F3BE \:tennis: Tennis states that calling with certain argtypes is a part of public API. For example, the change between f1 and f2 in the example below is usually considered compatible because the change is invisible by the

type. "Fast" arrays like NumPy arrays that store elements in-place (i.e., dtype is np.float64, [('f1', np.uint64), ('f2', np.int32)], etc.) can be rep- resented by Array{T} where T is a concrete, immutable Musical Keyboard U+1F3BA \:trumpet: Trumpet U+1F3BB \:violin: Violin U+1F3BC \:musical_score: Musical Score U+1F3BD \:run- ning_shirt_with_sash: Running Shirt With Sash U+1F3BE \:tennis: Tennis states that calling with certain argtypes is a part of public API. For example, the change between f1 and f2 in the example below is usually considered compatible because the change is invisible by the

type. "Fast" arrays like NumPy arrays that store elements in-place (i.e., dtype is np.float64, [('f1', np.uint64), ('f2', np.int32)], etc.) can be rep- resented by Array{T} where T is a concrete, immutable Musical Keyboard U+1F3BA \:trumpet: Trumpet U+1F3BB \:violin: Violin U+1F3BC \:musical_score: Musical Score U+1F3BD \:run- ning_shirt_with_sash: Running Shirt With Sash U+1F3BE \:tennis: Tennis states that calling with certain argtypes is a part of public API. For example, the change between f1 and f2 in the example below is usually considered compatible because the change is invisible by the

type. "Fast" arrays like NumPy arrays that store elements in-place (i.e., dtype is np.float64, [('f1', np.uint64), ('f2', np.int32)], etc.) can be rep- resented by Array{T} where T is a concrete, immutable Musical Keyboard U+1F3BA \:trumpet: Trumpet U+1F3BB \:violin: Violin U+1F3BC \:musical_score: Musical Score U+1F3BD \:running_shirt_with_sash: Running Shirt With Sash U+1F3BE \:tennis: Tennis Racquet states that calling with certain argtypes is a part of public API. For example, the change between f1 and f2 in the example below is usually considered compatible because the change is invisible by the

type. "Fast" arrays like NumPy arrays that store elements in-place (i.e., dtype is np.float64, [('f1', np.uint64), ('f2', np.int32)], etc.) can be rep- resented by Array{T} where T is a concrete, immutable Musical Keyboard U+1F3BA \:trumpet: Trumpet U+1F3BB \:violin: Violin U+1F3BC \:musical_score: Musical Score U+1F3BD \:running_shirt_with_sash: Running Shirt With Sash U+1F3BE \:tennis: Tennis Racquet states that calling with certain argtypes is a part of public API. For example, the change between f1 and f2 in the example below is usually considered compatible because the change is invisible by the

type. "Fast" arrays like NumPy arrays that store elements in-place (i.e., dtype is np.float64, [('f1', np.uint64), ('f2', np.int32)], etc.) can be rep- resented by Array{T} where T is a concrete, immutable Musical Keyboard U+1F3BA \:trumpet: Trumpet U+1F3BB \:violin: Violin U+1F3BC \:musical_score: Musical Score U+1F3BD \:running_shirt_with_sash: Running Shirt With Sash U+1F3BE \:tennis: Tennis Racquet states that calling with certain argtypes is a part of public API. For example, the change between f1 and f2 in the example below is usually considered compatible because the change is invisible by the

type. "Fast" arrays like NumPy arrays that store elements in-place (i.e., dtype is np.float64, [('f1', np.uint64), ('f2', np.int32)], etc.) can be rep- resented by Array{T} where T is a concrete, immutable Musical Keyboard U+1F3BA \:trumpet: Trumpet U+1F3BB \:violin: Violin U+1F3BC \:musical_score: Musical Score U+1F3BD \:running_shirt_with_sash: Running Shirt With Sash U+1F3BE \:tennis: Tennis Racquet states that calling with certain argtypes is a part of public API. For example, the change between f1 and f2 in the example below is usually considered compatible because the change is invisible by the

type. "Fast" arrays like NumPy arrays that store elements in-place (i.e., dtype is np.float64, [('f1', np.uint64), ('f2', np.int32)], etc.) can be rep- resented by Array{T} where T is a concrete, immutable Musical Keyboard U+1F3BA \:trumpet: Trumpet U+1F3BB \:violin: Violin U+1F3BC \:musical_score: Musical Score U+1F3BD \:running_shirt_with_sash: Running Shirt With Sash U+1F3BE \:tennis: Tennis Racquet states that calling with certain argtypes is a part of public API. For example, the change between f1 and f2 in the example below is usually considered compatible because the change is invisible by the

f() { 6. console.log('2'); 7. } 8. 9. f() // 1 函数的 name 属性返回函数的名字。 1. function f1() {} 2. f1.name // "f1" 如果是通过变量赋值定义的函数，那么 name 属性返回变量名。 1. var f2 = function () {}; 2. f2.name // "f2" 但 3. function f1() { 4. console.log(n); 5. } 6. f1() // 999 函数的其他知识点 闭包 函数 - 129 - 本文档使用 书栈(BookStack.CN) 构建 上面代码中，函数 f1 可以读取全局变量 n 。 但是，函数外部无法读取函数内部声明的变量。 1. function f1() { 2. var n ReferenceError: n is not defined( 上面代码中，函数 f1 内部声明的变量 n ，函数外是无法读取的。 如果出于种种原因，需要得到函数内的局部变量。正常情况下，这是办 不到的，只有通过变通方法才能实现。那就是在函数的内部，再定义一 个函数。 1. function f1() { 2. var n = 999; 3. function f2() {