matsueushi

GPGキーを作ってみよう

GPGキーを使ってGitHubにSSHで疎通確認、その後GPGキーを使った署名付きコミットをするまでのログです。

GPGってなに？

GnuPG is a complete and free implementation of the OpenPGP standard as defined by RFC4880 (also known as PGP). GnuPG allows you to encrypt and sign your data and communications; it features a versatile key management system, along with access modules for all kinds of public key directories. GnuPG, also known as GPG, is a command line tool with features for easy integration with other applications. A wealth of frontend applications and libraries are available. GnuPG also provides support for S/MIME and Secure Shell (ssh).

— The GNU Privacy Guard

matsueushi

1. "Saint John": what is writing to this log file?

ファイルをオープンしているコマンドは lsof コマンドで調べられる。

ubuntu@ip-172-31-32-108:/$ lsof /var/log/bad.log
COMMAND   PID   USER   FD   TYPE DEVICE SIZE/OFF  NODE NAME
badlog.py 637 ubuntu    3w   REG  259,1    25744 67701 /var/log/bad.log

kill でコマンドを止める。

matsueushi

function solve(n, m, ts, xss, ss)
    mat = BitArray(undef, n, m)
    for i in 1:n
        for j in 1:ts[i]
            mat[i, xss[i][j]] = 1
        end
    end
    println(mat)
    s = BitArray(ss)
    c = 1

matsueushi

└ @ Pkg.Operations /Users/julia/buildbot/worker/package_macos64/build/usr/share/julia/stdlib/v1.4/Pkg/src/Operations.jl:1365
ERROR: Unsatisfiable requirements detected for package Polynomials [f27b6e38]:
 Polynomials [f27b6e38] log:
 ├─possible versions are: [0.5.0-0.5.3, 0.6.0-0.6.1, 0.7.0] or uninstalled
 ├─restricted to versions 0.6 by an explicit requirement, leaving only versions 0.6.0-0.6.1
 └─restricted by compatibility requirements with RecipesBase [3cdcf5f2] to versions: [0.5.0-0.5.3, 0.7.0] or uninstalled — no versions left
   └─RecipesBase [3cdcf5f2] log:
     ├─possible versions are: [0.4.0, 0.5.0, 0.6.0, 0.7.0, 0.8.0, 1.0.0] or uninstalled
     └─restricted to versions 1 by IntervalArithmetic [d1acc4aa], leaving only versions 1.0.0
       └─IntervalArithmetic [d1acc4aa] log:

matsueushi

https://github.com/MikeInnes/MacroTools.jl

julia> using MacroTools

julia> ex = :(f(x) = x^2 + 3x + 4)
:(f(x) = begin
          #= REPL[2]:1 =#
          x ^ 2 + 3x + 4
      end)

matsueushi

using CuArrays, NNlib, Test

ACTIVATION_FUNCTIONS = [σ, logσ, hardσ, hardtanh, relu, leakyrelu, relu6, rrelu, 
                          elu, gelu, celu, swish, lisht, selu, trelu, softplus, 
                          softsign, logcosh, mish, tanhshrink, softshrink];

x = randn(Float32, (5, 5))
for f in filter(x -> x != rrelu, ACTIVATION_FUNCTIONS)
 @testset "$(f)" begin

matsueushi

ARG CUDA=10.0
ARG UBUNTU_VERSION=18.04

FROM nvidia/cuda:${CUDA}-cudnn7-devel-ubuntu${UBUNTU_VERSION}

ENV JULIA_PATH=/usr/local/julia
ENV PATH=$JULIA_PATH/bin:$PATH

ENV JULIA_TAR_ARCH=x86_64
ENV JULIA_DIR_ARCH=x64

matsueushi

matsueushi

using Adapt
using CuArrays
using Flux
using InteractiveUtils

function f1(x)
    fill(1f0, size(x)) |> gpu
end

function f2(x)

matsueushi

function rolling(fun::Function, x::AbstractArray{T}, window::Int) where {T <: Real}
    [fun(view(x, i:i + window - 1)) for i = 1:length(x) - window + 1]
end

println(rolling(sum, [1, 2, 3, 4, 5], 2)) # [3, 5, 7, 9]
println(rolling(sum, [1, 2, 3, 4, 5], 3)) # [6, 9, 12]
println(rolling(prod, [1, 2, 3, 4, 5], 3)) # [6, 24, 60]