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730 lines
19 KiB
Markdown
730 lines
19 KiB
Markdown
---
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language: julia
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filename: learn-julia-zh.jl
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contributors:
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- ["Jichao Ouyang", "http://oyanglul.us"]
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translators:
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- ["Jichao Ouyang"]
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lang: zh-cn
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---
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```julia
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# 单行注释只需要一个井号
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#= 多行注释
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只需要以 '#=' 开始 '=#' 结束
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还可以嵌套.
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=#
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####################################################
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## 1. 原始类型与操作符
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####################################################
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# Julia 中一切皆是表达式。
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# 这是一些基本数字类型.
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3 # => 3 (Int64)
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3.2 # => 3.2 (Float64)
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2 + 1im # => 2 + 1im (Complex{Int64})
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2//3 # => 2//3 (Rational{Int64})
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# 支持所有的普通中缀操作符。
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1 + 1 # => 2
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8 - 1 # => 7
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10 * 2 # => 20
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35 / 5 # => 7.0
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5 / 2 # => 2.5 # 用 Int 除 Int 永远返回 Float
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div(5, 2) # => 2 # 使用 div 截断小数点
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5 \ 35 # => 7.0
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2 ^ 2 # => 4 # 次方, 不是二进制 xor
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12 % 10 # => 2
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# 用括号提高优先级
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(1 + 3) * 2 # => 8
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# 二进制操作符
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~2 # => -3 # 非
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3 & 5 # => 1 # 与
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2 | 4 # => 6 # 或
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2 $ 4 # => 6 # 异或
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2 >>> 1 # => 1 # 逻辑右移
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2 >> 1 # => 1 # 算术右移
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2 << 1 # => 4 # 逻辑/算术 右移
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# 可以用函数 bits 查看二进制数。
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bits(12345)
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# => "0000000000000000000000000000000000000000000000000011000000111001"
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bits(12345.0)
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# => "0100000011001000000111001000000000000000000000000000000000000000"
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# 布尔值是原始类型
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true
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false
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# 布尔操作符
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!true # => false
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!false # => true
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1 == 1 # => true
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2 == 1 # => false
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1 != 1 # => false
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2 != 1 # => true
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1 < 10 # => true
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1 > 10 # => false
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2 <= 2 # => true
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2 >= 2 # => true
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# 比较可以串联
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1 < 2 < 3 # => true
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2 < 3 < 2 # => false
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# 字符串可以由 " 创建
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"This is a string."
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# 字符字面量可用 ' 创建
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'a'
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# 可以像取数组取值一样用 index 取出对应字符
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"This is a string"[1] # => 'T' # Julia 的 index 从 1 开始 :(
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# 但是对 UTF-8 无效,
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# 因此建议使用遍历器 (map, for loops, 等).
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# $ 可用于字符插值:
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"2 + 2 = $(2 + 2)" # => "2 + 2 = 4"
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# 可以将任何 Julia 表达式放入括号。
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# 另一种格式化字符串的方式是 printf 宏.
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@printf "%d is less than %f" 4.5 5.3 # 5 is less than 5.300000
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# 打印字符串很容易
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println("I'm Julia. Nice to meet you!")
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####################################################
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## 2. 变量与集合
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####################################################
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# 给变量赋值就是声明变量
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some_var = 5 # => 5
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some_var # => 5
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# 访问未声明变量会抛出异常
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try
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some_other_var # => ERROR: some_other_var not defined
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catch e
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println(e)
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end
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# 变量名需要以字母开头.
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# 之后任何字母,数字,下划线,叹号都是合法的。
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SomeOtherVar123! = 6 # => 6
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# 甚至可以用 unicode 字符
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☃ = 8 # => 8
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# 用数学符号非常方便
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2 * π # => 6.283185307179586
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# 注意 Julia 的命名规约:
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#
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# * 变量名为小写,单词之间以下划线连接('\_')。
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#
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# * 类型名以大写字母开头,单词以 CamelCase 方式连接。
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#
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# * 函数与宏的名字小写,无下划线。
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#
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# * 会改变输入的函数名末位为 !。
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# 这类函数有时被称为 mutating functions 或 in-place functions.
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# 数组存储一列值,index 从 1 开始。
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a = Int64[] # => 0-element Int64 Array
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# 一维数组可以以逗号分隔值的方式声明。
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b = [4, 5, 6] # => 包含 3 个 Int64 类型元素的数组: [4, 5, 6]
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b[1] # => 4
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b[end] # => 6
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# 二维数组以分号分隔维度。
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matrix = [1 2; 3 4] # => 2x2 Int64 数组: [1 2; 3 4]
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# 使用 push! 和 append! 往数组末尾添加元素
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push!(a,1) # => [1]
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push!(a,2) # => [1,2]
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push!(a,4) # => [1,2,4]
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push!(a,3) # => [1,2,4,3]
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append!(a,b) # => [1,2,4,3,4,5,6]
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# 用 pop 弹出末尾元素
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pop!(b) # => 6 and b is now [4,5]
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# 可以再放回去
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push!(b,6) # b 又变成了 [4,5,6].
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a[1] # => 1 # 永远记住 Julia 的 index 从 1 开始!
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# 用 end 可以直接取到最后索引. 可用作任何索引表达式
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a[end] # => 6
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# 还支持 shift 和 unshift
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shift!(a) # => 返回 1,而 a 现在时 [2,4,3,4,5,6]
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unshift!(a,7) # => [7,2,4,3,4,5,6]
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# 以叹号结尾的函数名表示它会改变参数的值
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arr = [5,4,6] # => 包含三个 Int64 元素的数组: [5,4,6]
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sort(arr) # => [4,5,6]; arr 还是 [5,4,6]
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sort!(arr) # => [4,5,6]; arr 现在是 [4,5,6]
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# 越界会抛出 BoundsError 异常
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try
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a[0] # => ERROR: BoundsError() in getindex at array.jl:270
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a[end+1] # => ERROR: BoundsError() in getindex at array.jl:270
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catch e
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println(e)
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end
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# 错误会指出发生的行号,包括标准库
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# 如果你有 Julia 源代码,你可以找到这些地方
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# 可以用 range 初始化数组
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a = [1:5] # => 5-element Int64 Array: [1,2,3,4,5]
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# 可以切割数组
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a[1:3] # => [1, 2, 3]
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a[2:end] # => [2, 3, 4, 5]
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# 用 splice! 切割原数组
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arr = [3,4,5]
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splice!(arr,2) # => 4 ; arr 变成了 [3,5]
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# 用 append! 连接数组
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b = [1,2,3]
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append!(a,b) # a 变成了 [1, 2, 3, 4, 5, 1, 2, 3]
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# 检查元素是否在数组中
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in(1, a) # => true
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# 用 length 获得数组长度
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length(a) # => 8
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# Tuples 是 immutable 的
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tup = (1, 2, 3) # => (1,2,3) # an (Int64,Int64,Int64) tuple.
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tup[1] # => 1
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try:
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tup[1] = 3 # => ERROR: no method setindex!((Int64,Int64,Int64),Int64,Int64)
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catch e
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println(e)
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end
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# 大多数组的函数同样支持 tuples
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length(tup) # => 3
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tup[1:2] # => (1,2)
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in(2, tup) # => true
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# 可以将 tuples 元素分别赋给变量
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a, b, c = (1, 2, 3) # => (1,2,3) # a is now 1, b is now 2 and c is now 3
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# 不用括号也可以
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d, e, f = 4, 5, 6 # => (4,5,6)
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# 单元素 tuple 不等于其元素值
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(1,) == 1 # => false
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(1) == 1 # => true
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# 交换值
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e, d = d, e # => (5,4) # d is now 5 and e is now 4
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# 字典Dictionaries store mappings
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empty_dict = Dict() # => Dict{Any,Any}()
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# 也可以用字面量创建字典
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filled_dict = ["one"=> 1, "two"=> 2, "three"=> 3]
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# => Dict{ASCIIString,Int64}
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# 用 [] 获得键值
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filled_dict["one"] # => 1
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# 获得所有键
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keys(filled_dict)
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# => KeyIterator{Dict{ASCIIString,Int64}}(["three"=>3,"one"=>1,"two"=>2])
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# 注意,键的顺序不是插入时的顺序
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# 获得所有值
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values(filled_dict)
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# => ValueIterator{Dict{ASCIIString,Int64}}(["three"=>3,"one"=>1,"two"=>2])
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# 注意,值的顺序也一样
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# 用 in 检查键值是否已存在,用 haskey 检查键是否存在
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in(("one", 1), filled_dict) # => true
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in(("two", 3), filled_dict) # => false
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haskey(filled_dict, "one") # => true
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haskey(filled_dict, 1) # => false
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# 获取不存在的键的值会抛出异常
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try
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filled_dict["four"] # => ERROR: key not found: four in getindex at dict.jl:489
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catch e
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println(e)
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end
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# 使用 get 可以提供默认值来避免异常
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# get(dictionary,key,default_value)
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get(filled_dict,"one",4) # => 1
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get(filled_dict,"four",4) # => 4
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# 用 Sets 表示无序不可重复的值的集合
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empty_set = Set() # => Set{Any}()
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# 初始化一个 Set 并定义其值
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filled_set = Set(1,2,2,3,4) # => Set{Int64}(1,2,3,4)
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# 添加值
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push!(filled_set,5) # => Set{Int64}(5,4,2,3,1)
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# 检查是否存在某值
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in(2, filled_set) # => true
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in(10, filled_set) # => false
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# 交集,并集,差集
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other_set = Set(3, 4, 5, 6) # => Set{Int64}(6,4,5,3)
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intersect(filled_set, other_set) # => Set{Int64}(3,4,5)
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union(filled_set, other_set) # => Set{Int64}(1,2,3,4,5,6)
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setdiff(Set(1,2,3,4),Set(2,3,5)) # => Set{Int64}(1,4)
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####################################################
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## 3. 控制流
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####################################################
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# 声明一个变量
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some_var = 5
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# 这是一个 if 语句,缩进不是必要的
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if some_var > 10
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println("some_var is totally bigger than 10.")
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elseif some_var < 10 # elseif 是可选的.
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println("some_var is smaller than 10.")
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else # else 也是可选的.
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println("some_var is indeed 10.")
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end
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# => prints "some var is smaller than 10"
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# For 循环遍历
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# Iterable 类型包括 Range, Array, Set, Dict, 以及 String.
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for animal=["dog", "cat", "mouse"]
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println("$animal is a mammal")
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# 可用 $ 将 variables 或 expression 转换为字符串into strings
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end
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# prints:
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# dog is a mammal
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# cat is a mammal
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# mouse is a mammal
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# You can use 'in' instead of '='.
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for animal in ["dog", "cat", "mouse"]
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println("$animal is a mammal")
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end
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# prints:
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# dog is a mammal
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# cat is a mammal
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# mouse is a mammal
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for a in ["dog"=>"mammal","cat"=>"mammal","mouse"=>"mammal"]
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println("$(a[1]) is a $(a[2])")
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end
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# prints:
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# dog is a mammal
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# cat is a mammal
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# mouse is a mammal
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for (k,v) in ["dog"=>"mammal","cat"=>"mammal","mouse"=>"mammal"]
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println("$k is a $v")
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end
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# prints:
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# dog is a mammal
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# cat is a mammal
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# mouse is a mammal
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# While 循环
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x = 0
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while x < 4
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println(x)
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x += 1 # x = x + 1
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end
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# prints:
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# 0
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# 1
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# 2
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# 3
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# 用 try/catch 处理异常
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try
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error("help")
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catch e
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println("caught it $e")
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end
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# => caught it ErrorException("help")
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####################################################
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## 4. 函数
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####################################################
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# 用关键字 'function' 可创建一个新函数
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#function name(arglist)
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# body...
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#end
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function add(x, y)
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println("x is $x and y is $y")
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# 最后一行语句的值为返回
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x + y
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end
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add(5, 6) # => 在 "x is 5 and y is 6" 后会打印 11
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# 还可以定义接收可变长参数的函数
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function varargs(args...)
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return args
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# 关键字 return 可在函数内部任何地方返回
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end
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# => varargs (generic function with 1 method)
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varargs(1,2,3) # => (1,2,3)
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# 省略号 ... 被称为 splat.
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# 刚刚用在了函数定义中
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# 还可以用在函数的调用
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# Array 或者 Tuple 的内容会变成参数列表
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Set([1,2,3]) # => Set{Array{Int64,1}}([1,2,3]) # 获得一个 Array 的 Set
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Set([1,2,3]...) # => Set{Int64}(1,2,3) # 相当于 Set(1,2,3)
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x = (1,2,3) # => (1,2,3)
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Set(x) # => Set{(Int64,Int64,Int64)}((1,2,3)) # 一个 Tuple 的 Set
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Set(x...) # => Set{Int64}(2,3,1)
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# 可定义可选参数的函数
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function defaults(a,b,x=5,y=6)
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return "$a $b and $x $y"
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end
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defaults('h','g') # => "h g and 5 6"
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defaults('h','g','j') # => "h g and j 6"
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defaults('h','g','j','k') # => "h g and j k"
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try
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defaults('h') # => ERROR: no method defaults(Char,)
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defaults() # => ERROR: no methods defaults()
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catch e
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println(e)
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end
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# 还可以定义键值对的参数
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function keyword_args(;k1=4,name2="hello") # note the ;
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return ["k1"=>k1,"name2"=>name2]
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end
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keyword_args(name2="ness") # => ["name2"=>"ness","k1"=>4]
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keyword_args(k1="mine") # => ["k1"=>"mine","name2"=>"hello"]
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keyword_args() # => ["name2"=>"hello","k1"=>4]
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# 可以组合各种类型的参数在同一个函数的参数列表中
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function all_the_args(normal_arg, optional_positional_arg=2; keyword_arg="foo")
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println("normal arg: $normal_arg")
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println("optional arg: $optional_positional_arg")
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println("keyword arg: $keyword_arg")
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end
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all_the_args(1, 3, keyword_arg=4)
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# prints:
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# normal arg: 1
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# optional arg: 3
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# keyword arg: 4
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# Julia 有一等函数
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function create_adder(x)
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adder = function (y)
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return x + y
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end
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return adder
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end
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# 这是用 "stabby lambda syntax" 创建的匿名函数
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(x -> x > 2)(3) # => true
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# 这个函数和上面的 create_adder 一模一样
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function create_adder(x)
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y -> x + y
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end
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# 你也可以给内部函数起个名字
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function create_adder(x)
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function adder(y)
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x + y
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end
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adder
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end
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add_10 = create_adder(10)
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add_10(3) # => 13
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# 内置的高阶函数有
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map(add_10, [1,2,3]) # => [11, 12, 13]
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filter(x -> x > 5, [3, 4, 5, 6, 7]) # => [6, 7]
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# 还可以使用 list comprehensions 替代 map
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[add_10(i) for i=[1, 2, 3]] # => [11, 12, 13]
|
||
[add_10(i) for i in [1, 2, 3]] # => [11, 12, 13]
|
||
|
||
####################################################
|
||
## 5. 类型
|
||
####################################################
|
||
|
||
# Julia 有类型系统
|
||
# 所有的值都有类型;但变量本身没有类型
|
||
# 你可以用 `typeof` 函数获得值的类型
|
||
typeof(5) # => Int64
|
||
|
||
# 类型是一等值
|
||
typeof(Int64) # => DataType
|
||
typeof(DataType) # => DataType
|
||
# DataType 是代表类型的类型,也代表他自己的类型
|
||
|
||
# 类型可用作文档化,优化,以及调度
|
||
# 并不是静态检查类型
|
||
|
||
# 用户还可以自定义类型
|
||
# 跟其他语言的 records 或 structs 一样
|
||
# 用 `type` 关键字定义新的类型
|
||
|
||
# type Name
|
||
# field::OptionalType
|
||
# ...
|
||
# end
|
||
type Tiger
|
||
taillength::Float64
|
||
coatcolor # 不附带类型标注的相当于 `::Any`
|
||
end
|
||
|
||
# 构造函数参数是类型的属性
|
||
tigger = Tiger(3.5,"orange") # => Tiger(3.5,"orange")
|
||
|
||
# 用新类型作为构造函数还会创建一个类型
|
||
sherekhan = typeof(tigger)(5.6,"fire") # => Tiger(5.6,"fire")
|
||
|
||
# struct 类似的类型被称为具体类型
|
||
# 他们可被实例化但不能有子类型
|
||
# 另一种类型是抽象类型
|
||
|
||
# abstract Name
|
||
abstract Cat # just a name and point in the type hierarchy
|
||
|
||
# 抽象类型不能被实例化,但是可以有子类型
|
||
# 例如,Number 就是抽象类型
|
||
subtypes(Number) # => 6-element Array{Any,1}:
|
||
# Complex{Float16}
|
||
# Complex{Float32}
|
||
# Complex{Float64}
|
||
# Complex{T<:Real}
|
||
# ImaginaryUnit
|
||
# Real
|
||
subtypes(Cat) # => 0-element Array{Any,1}
|
||
|
||
# 所有的类型都有父类型; 可以用函数 `super` 得到父类型.
|
||
typeof(5) # => Int64
|
||
super(Int64) # => Signed
|
||
super(Signed) # => Real
|
||
super(Real) # => Number
|
||
super(Number) # => Any
|
||
super(super(Signed)) # => Number
|
||
super(Any) # => Any
|
||
# 所有这些类型,除了 Int64, 都是抽象类型.
|
||
|
||
# <: 是类型集成操作符
|
||
type Lion <: Cat # Lion 是 Cat 的子类型
|
||
mane_color
|
||
roar::String
|
||
end
|
||
|
||
# 可以继续为你的类型定义构造函数
|
||
# 只需要定义一个同名的函数
|
||
# 并调用已有的构造函数设置一个固定参数
|
||
Lion(roar::String) = Lion("green",roar)
|
||
# 这是一个外部构造函数,因为他再类型定义之外
|
||
|
||
type Panther <: Cat # Panther 也是 Cat 的子类型
|
||
eye_color
|
||
Panther() = new("green")
|
||
# Panthers 只有这个构造函数,没有默认构造函数
|
||
end
|
||
# 使用内置构造函数,如 Panther,可以让你控制
|
||
# 如何构造类型的值
|
||
# 应该尽可能使用外部构造函数而不是内部构造函数
|
||
|
||
####################################################
|
||
## 6. 多分派
|
||
####################################################
|
||
|
||
# 在Julia中, 所有的具名函数都是类属函数
|
||
# 这意味着他们都是有很大小方法组成的
|
||
# 每个 Lion 的构造函数都是类属函数 Lion 的方法
|
||
|
||
# 我们来看一个非构造函数的例子
|
||
|
||
# Lion, Panther, Tiger 的 meow 定义为
|
||
function meow(animal::Lion)
|
||
animal.roar # 使用点符号访问属性
|
||
end
|
||
|
||
function meow(animal::Panther)
|
||
"grrr"
|
||
end
|
||
|
||
function meow(animal::Tiger)
|
||
"rawwwr"
|
||
end
|
||
|
||
# 试试 meow 函数
|
||
meow(tigger) # => "rawwr"
|
||
meow(Lion("brown","ROAAR")) # => "ROAAR"
|
||
meow(Panther()) # => "grrr"
|
||
|
||
# 再看看层次结构
|
||
issubtype(Tiger,Cat) # => false
|
||
issubtype(Lion,Cat) # => true
|
||
issubtype(Panther,Cat) # => true
|
||
|
||
# 定义一个接收 Cats 的函数
|
||
function pet_cat(cat::Cat)
|
||
println("The cat says $(meow(cat))")
|
||
end
|
||
|
||
pet_cat(Lion("42")) # => prints "The cat says 42"
|
||
try
|
||
pet_cat(tigger) # => ERROR: no method pet_cat(Tiger,)
|
||
catch e
|
||
println(e)
|
||
end
|
||
|
||
# 在面向对象语言中,通常都是单分派
|
||
# 这意味着分派方法是通过第一个参数的类型决定的
|
||
# 在Julia中, 所有参数类型都会被考虑到
|
||
|
||
# 让我们定义有多个参数的函数,好看看区别
|
||
function fight(t::Tiger,c::Cat)
|
||
println("The $(t.coatcolor) tiger wins!")
|
||
end
|
||
# => fight (generic function with 1 method)
|
||
|
||
fight(tigger,Panther()) # => prints The orange tiger wins!
|
||
fight(tigger,Lion("ROAR")) # => prints The orange tiger wins!
|
||
|
||
# 让我们修改一下传入具体为 Lion 类型时的行为
|
||
fight(t::Tiger,l::Lion) = println("The $(l.mane_color)-maned lion wins!")
|
||
# => fight (generic function with 2 methods)
|
||
|
||
fight(tigger,Panther()) # => prints The orange tiger wins!
|
||
fight(tigger,Lion("ROAR")) # => prints The green-maned lion wins!
|
||
|
||
# 把 Tiger 去掉
|
||
fight(l::Lion,c::Cat) = println("The victorious cat says $(meow(c))")
|
||
# => fight (generic function with 3 methods)
|
||
|
||
fight(Lion("balooga!"),Panther()) # => prints The victorious cat says grrr
|
||
try
|
||
fight(Panther(),Lion("RAWR")) # => ERROR: no method fight(Panther,Lion)
|
||
catch
|
||
end
|
||
|
||
# 在试试让 Cat 在前面
|
||
fight(c::Cat,l::Lion) = println("The cat beats the Lion")
|
||
# => Warning: New definition
|
||
# fight(Cat,Lion) at none:1
|
||
# is ambiguous with
|
||
# fight(Lion,Cat) at none:2.
|
||
# Make sure
|
||
# fight(Lion,Lion)
|
||
# is defined first.
|
||
#fight (generic function with 4 methods)
|
||
|
||
# 警告说明了无法判断使用哪个 fight 方法
|
||
fight(Lion("RAR"),Lion("brown","rarrr")) # => prints The victorious cat says rarrr
|
||
# 结果在老版本 Julia 中可能会不一样
|
||
|
||
fight(l::Lion,l2::Lion) = println("The lions come to a tie")
|
||
fight(Lion("RAR"),Lion("brown","rarrr")) # => prints The lions come to a tie
|
||
|
||
|
||
# Under the hood
|
||
# 你还可以看看 llvm 以及生成的汇编代码
|
||
|
||
square_area(l) = l * l # square_area (generic function with 1 method)
|
||
|
||
square_area(5) #25
|
||
|
||
# 给 square_area 一个整形时发生什么
|
||
code_native(square_area, (Int32,))
|
||
# .section __TEXT,__text,regular,pure_instructions
|
||
# Filename: none
|
||
# Source line: 1 # Prologue
|
||
# push RBP
|
||
# mov RBP, RSP
|
||
# Source line: 1
|
||
# movsxd RAX, EDI # Fetch l from memory?
|
||
# imul RAX, RAX # Square l and store the result in RAX
|
||
# pop RBP # Restore old base pointer
|
||
# ret # Result will still be in RAX
|
||
|
||
code_native(square_area, (Float32,))
|
||
# .section __TEXT,__text,regular,pure_instructions
|
||
# Filename: none
|
||
# Source line: 1
|
||
# push RBP
|
||
# mov RBP, RSP
|
||
# Source line: 1
|
||
# vmulss XMM0, XMM0, XMM0 # Scalar single precision multiply (AVX)
|
||
# pop RBP
|
||
# ret
|
||
|
||
code_native(square_area, (Float64,))
|
||
# .section __TEXT,__text,regular,pure_instructions
|
||
# Filename: none
|
||
# Source line: 1
|
||
# push RBP
|
||
# mov RBP, RSP
|
||
# Source line: 1
|
||
# vmulsd XMM0, XMM0, XMM0 # Scalar double precision multiply (AVX)
|
||
# pop RBP
|
||
# ret
|
||
#
|
||
# 注意 只要参数中又浮点类型,Julia 就使用浮点指令
|
||
# 让我们计算一下圆的面积
|
||
circle_area(r) = pi * r * r # circle_area (generic function with 1 method)
|
||
circle_area(5) # 78.53981633974483
|
||
|
||
code_native(circle_area, (Int32,))
|
||
# .section __TEXT,__text,regular,pure_instructions
|
||
# Filename: none
|
||
# Source line: 1
|
||
# push RBP
|
||
# mov RBP, RSP
|
||
# Source line: 1
|
||
# vcvtsi2sd XMM0, XMM0, EDI # Load integer (r) from memory
|
||
# movabs RAX, 4593140240 # Load pi
|
||
# vmulsd XMM1, XMM0, QWORD PTR [RAX] # pi * r
|
||
# vmulsd XMM0, XMM0, XMM1 # (pi * r) * r
|
||
# pop RBP
|
||
# ret
|
||
#
|
||
|
||
code_native(circle_area, (Float64,))
|
||
# .section __TEXT,__text,regular,pure_instructions
|
||
# Filename: none
|
||
# Source line: 1
|
||
# push RBP
|
||
# mov RBP, RSP
|
||
# movabs RAX, 4593140496
|
||
# Source line: 1
|
||
# vmulsd XMM1, XMM0, QWORD PTR [RAX]
|
||
# vmulsd XMM0, XMM1, XMM0
|
||
# pop RBP
|
||
# ret
|
||
#
|
||
```
|