如果布尔向量全部为假，如何检查julia

我只是想知道是否有一些预先内置的

和（）

filter = [true,false,true,false]
length([i for i in filter if i]) > 0 # true

filter = [false,false,false]
length([i for i in filter if i]) > 0 # false

对不起，你说的全是谎言。然后：

julia> all(!, x)

或

对不起，你说的全是谎言。然后：

julia> all(!, x)

或

这不是对您问题的回答，但请注意，
filter
是一个现有函数，因此您可能不想覆盖它

julia> a = [true, false, true, false];
julia> filter(!, a)
 2-element Array{Bool,1}:
 false
 false
julia> filter(!!, a)
 2-element Array{Bool,1}:
 true
 true

这不是对您问题的回答，但请注意，
filter
是一个现有函数，因此您可能不想覆盖它

julia> a = [true, false, true, false];
julia> filter(!, a)
 2-element Array{Bool,1}:
 false
 false
julia> filter(!!, a)
 2-element Array{Bool,1}:
 true
 true

sum（）
实际上是最快的：

x = falses(1_000_000)

julia> @benchmark sum(x)
BenchmarkTools.Trial:
  memory estimate:  0 bytes
  allocs estimate:  0
  --------------
  minimum time:     2.834 μs (0.00% GC)
  median time:      2.905 μs (0.00% GC)
  mean time:        3.079 μs (0.00% GC)
  maximum time:     12.648 μs (0.00% GC)
  --------------
  samples:          10000
  evals/sample:     9

julia> @benchmark all(!, x)
BenchmarkTools.Trial:
  memory estimate:  0 bytes
  allocs estimate:  0
  --------------
  minimum time:     546.055 μs (0.00% GC)
  median time:      546.463 μs (0.00% GC)
  mean time:        558.960 μs (0.00% GC)
  maximum time:     1.709 ms (0.00% GC)
  --------------
  samples:          8928
  evals/sample:     1

@benchmark any(x)
BenchmarkTools.Trial:
  memory estimate:  0 bytes
  allocs estimate:  0
  --------------
  minimum time:     5.728 μs (0.00% GC)
  median time:      5.752 μs (0.00% GC)
  mean time:        6.044 μs (0.00% GC)
  maximum time:     28.300 μs (0.00% GC)
  --------------
  samples:          10000
  evals/sample:     6

sum（）
实际上是最快的：

x = falses(1_000_000)

julia> @benchmark sum(x)
BenchmarkTools.Trial:
  memory estimate:  0 bytes
  allocs estimate:  0
  --------------
  minimum time:     2.834 μs (0.00% GC)
  median time:      2.905 μs (0.00% GC)
  mean time:        3.079 μs (0.00% GC)
  maximum time:     12.648 μs (0.00% GC)
  --------------
  samples:          10000
  evals/sample:     9

julia> @benchmark all(!, x)
BenchmarkTools.Trial:
  memory estimate:  0 bytes
  allocs estimate:  0
  --------------
  minimum time:     546.055 μs (0.00% GC)
  median time:      546.463 μs (0.00% GC)
  mean time:        558.960 μs (0.00% GC)
  maximum time:     1.709 ms (0.00% GC)
  --------------
  samples:          8928
  evals/sample:     1

@benchmark any(x)
BenchmarkTools.Trial:
  memory estimate:  0 bytes
  allocs estimate:  0
  --------------
  minimum time:     5.728 μs (0.00% GC)
  median time:      5.752 μs (0.00% GC)
  mean time:        6.044 μs (0.00% GC)
  maximum time:     28.300 μs (0.00% GC)
  --------------
  samples:          10000
  evals/sample:     6

有函数
any
有函数
any