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Clarify the behavior of rand/randn for complex types (#33002)
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antoine-levitt authored and ViralBShah committed Aug 21, 2019
1 parent 191f2ae commit fa641c6
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4 changes: 2 additions & 2 deletions stdlib/Random/src/Random.jl
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Expand Up @@ -306,8 +306,8 @@ Pick a random element or array of random elements from the set of values specifi
* an `AbstractDict` or `AbstractSet` object,
* a string (considered as a collection of characters), or
* a type: the set of values to pick from is then equivalent to `typemin(S):typemax(S)` for
integers (this is not applicable to [`BigInt`](@ref)), and to ``[0, 1)`` for floating
point numbers;
integers (this is not applicable to [`BigInt`](@ref)), to ``[0, 1)`` for floating
point numbers and to ``[0, 1)+i[0, 1)]`` for complex floating point numbers;
`S` defaults to [`Float64`](@ref).
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2 changes: 1 addition & 1 deletion stdlib/Random/src/normal.jl
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Expand Up @@ -18,7 +18,7 @@ Optionally generate an array of normally-distributed random numbers.
The `Base` module currently provides an implementation for the types
[`Float16`](@ref), [`Float32`](@ref), and [`Float64`](@ref) (the default), and their
[`Complex`](@ref) counterparts. When the type argument is complex, the values are drawn
from the circularly symmetric complex normal distribution.
from the circularly symmetric complex normal distribution of variance 1 (corresponding to real and imaginary part having independent normal distribution with mean zero and variance `1/2`).
# Examples
```jldoctest
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