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Ed Schmerling schmrlng

  • Stanford Autonomous Systems Laboratory
  • Stanford, CA
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View StaticArrays.jl#424.md
julia> versioninfo()
Julia Version 0.6.2
Commit d386e40c17* (2017-12-13 18:08 UTC)
Platform Info:
  OS: Linux (x86_64-linux-gnu)
  CPU: AMD Ryzen 7 1800X Eight-Core Processor
  WORD_SIZE: 64
  BLAS: libopenblas (USE64BITINT DYNAMIC_ARCH NO_AFFINITY Barcelona)
  LAPACK: libopenblas64_
View NearestNeighbors.jl#56.md

Comparison (PR#56 vs master)

A ratio greater than 1.0 denotes a possible regression (marked with ), while a ratio less than 1.0 denotes a possible improvement (marked with ). Only significant results - results that indicate possible regressions or improvements - are shown below (thus, an empty table means that all benchmark results remained invariant between builds).

ID time ratio memory ratio
["inrange", "NearestNeighbors.KDTree 3 × 1000, ls = 1, input_size = 1000, r = 1.91e-01"] 0.92 (5%) 1.00 (1%)
@schmrlng
schmrlng / fcl_continuous_collision_test.cpp
Last active Mar 7, 2019
FCL motion and continuous collision checking
View fcl_continuous_collision_test.cpp
#include <iostream>
#include <fcl/shape/geometric_shapes.h>
#include <fcl/collision.h>
#include <fcl/continuous_collision.h>
#include <fcl/ccd/motion.h>
using namespace std;
using namespace fcl;
int main(int argc, char** argv)
View Cxx 0.4 build error
_
_ _ _(_)_ | A fresh approach to technical computing
(_) | (_) (_) | Documentation: http://docs.julialang.org
_ _ _| |_ __ _ | Type "?help" for help.
| | | | | | |/ _` | |
| | |_| | | | (_| | | Version 0.4.6-pre+7 (2016-03-28 14:46 UTC)
_/ |\__'_|_|_|\__'_| | Commit 273b487* (0 days old release-0.4)
|__/ | x86_64-linux-gnu
julia> Pkg.build("Cxx")
View SecureCRT Solarized
With SecureCRT closed, edit your Global.ini which lives by default in %appdata%\VanDyke\Config\Global.ini,
find the three lines the start with B:"ANSI Color RGB" and replace it and the two lines of hex below it with:
B:"ANSI Color RGB"=00000040
00 2b 38 00 dc 32 2f 00 85 99 00 00 b5 89 00 00 26 8b d2 00 d3 36 82 00 2a a1 98 00 ee e8 d5 00
07 36 42 00 cb 4b 16 00 58 6e 75 00 65 7b 83 00 83 94 96 00 6c 71 c4 00 93 a1 a1 00 fd f6 e3 00
(from https://web.archive.org/web/20140117045940/http://jessicalitwin.com/index.php/2013/02/solarized-for-securecrt/)
@schmrlng
schmrlng / cumstats.jl
Created Apr 9, 2015
O(n) functions for computing cumulative estimates of some basic statistics (useful e.g. for plotting how these estimates evolve).
View cumstats.jl
cummean(x) = cumsum(x) ./ [1:length(x)]
cumvar(x, m = cummean(x)) = cumsum((1 - 1 ./ [1:length(x)]).*(x - [0, m[1:end-1]]).^2) ./ [1:length(x)]
cumcov(x, y, mx = cummean(x), my = cummean(y)) = cumsum((1 - 1 ./ [1:length(x)]).*(x - [0, mx[1:end-1]]).*(y - [0, my[1:end-1]])) ./ [1:length(x)]
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