jyapayne/Nim
1
0
Fork 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

[backport] run nimpretty on numbers stuff

Browse source
This commit is contained in:
narimiran 2019-09-27 10:55:18 +02:00
commit 6c994b2498
6 changed files with 183 additions and 167 deletions
Download patch file Download diff file Expand all files Collapse all files

34
lib/pure/random.nim
View file

@ -78,10 +78,10 @@
## <lib.html#pure-libraries-cryptography-and-hashing>`_
## in the standard library
import algorithm #For upperBound
import algorithm #For upperBound
include "system/inclrtl"
{.push debugger:off.}
{.push debugger: off.}
when defined(JS):
type ui = uint32
@ -94,18 +94,18 @@ else:
type
Rand* = object ## State of a random number generator.
##
## Create a new Rand state using the `initRand proc<#initRand,int64>`_.
##
## The module contains a default Rand state for convenience.
## It corresponds to the default random number generator's state.
## The default Rand state always starts with the same values, but the
## `randomize proc<#randomize>`_ can be used to seed the default generator
## with a value based on the current time.
##
## Many procs have two variations: one that takes in a Rand parameter and
## another that uses the default generator. The procs that use the default
## generator are **not** thread-safe!
##
## Create a new Rand state using the `initRand proc<#initRand,int64>`_.
##
## The module contains a default Rand state for convenience.
## It corresponds to the default random number generator's state.
## The default Rand state always starts with the same values, but the
## `randomize proc<#randomize>`_ can be used to seed the default generator
## with a value based on the current time.
##
## Many procs have two variations: one that takes in a Rand parameter and
## another that uses the default generator. The procs that use the default
## generator are **not** thread-safe!
a0, a1: ui
when defined(JS):
@ -481,7 +481,7 @@ proc sample*[T](a: openArray[T]): T =
doAssert sample(marbles) == "red"
result = a[rand(a.low..a.high)]
proc sample*[T, U](r: var Rand; a: openArray[T], cdf: openArray[U]): T =
proc sample*[T, U](r: var Rand; a: openArray[T]; cdf: openArray[U]): T =
## Returns an element from ``a`` using a cumulative distribution function
## (CDF) and the given state.
##
@ -509,14 +509,14 @@ proc sample*[T, U](r: var Rand; a: openArray[T], cdf: openArray[U]): T =
doAssert r.sample(marbles, cdf) == "red"
doAssert r.sample(marbles, cdf) == "green"
doAssert r.sample(marbles, cdf) == "blue"
assert(cdf.len == a.len) # Two basic sanity checks.
assert(cdf.len == a.len) # Two basic sanity checks.
assert(float(cdf[^1]) > 0.0)
#While we could check cdf[i-1] <= cdf[i] for i in 1..cdf.len, that could get
#awfully expensive even in debugging modes.
let u = r.rand(float(cdf[^1]))
a[cdf.upperBound(U(u))]
proc sample*[T, U](a: openArray[T], cdf: openArray[U]): T =
proc sample*[T, U](a: openArray[T]; cdf: openArray[U]): T =
## Returns an element from ``a`` using a cumulative distribution function
## (CDF).
##