Suppose you're opening an issue and there's a lot noisey logs that may be useful.
Rather than wrecking readability, wrap it in a <details>
tag!
<details>
Summary Goes Here
# Copyright 2019 Google LLC. | |
# SPDX-License-Identifier: Apache-2.0 | |
# Author: Anton Mikhailov | |
turbo_colormap_data = [[0.18995,0.07176,0.23217],[0.19483,0.08339,0.26149],[0.19956,0.09498,0.29024],[0.20415,0.10652,0.31844],[0.20860,0.11802,0.34607],[0.21291,0.12947,0.37314],[0.21708,0.14087,0.39964],[0.22111,0.15223,0.42558],[0.22500,0.16354,0.45096],[0.22875,0.17481,0.47578],[0.23236,0.18603,0.50004],[0.23582,0.19720,0.52373],[0.23915,0.20833,0.54686],[0.24234,0.21941,0.56942],[0.24539,0.23044,0.59142],[0.24830,0.24143,0.61286],[0.25107,0.25237,0.63374],[0.25369,0.26327,0.65406],[0.25618,0.27412,0.67381],[0.25853,0.28492,0.69300],[0.26074,0.29568,0.71162],[0.26280,0.30639,0.72968],[0.26473,0.31706,0.74718],[0.26652,0.32768,0.76412],[0.26816,0.33825,0.78050],[0.26967,0.34878,0.79631],[0.27103,0.35926,0.81156],[0.27226,0.36970,0.82624],[0.27334,0.38008,0.84037],[0.27429,0.39043,0.85393],[0.27509,0.40072,0.86692],[0.27576,0.41097,0.87936],[0.27628,0.42118,0.89123],[0.27667,0.43134,0.90254],[0.27691,0.44145,0.913 |
# Place this in a file at '~/.Rprofile' to ensure it's sourced on startup | |
.First <- function() { | |
# RStudio-specific startup | |
if (!is.na(Sys.getenv("RSTUDIO", unset = NA)) && | |
Sys.info()[["sysname"]] == "Windows") | |
{ | |
# work around mis-encoded environment variables | |
USERPROFILE <- Sys.getenv("USERPROFILE") | |
HOME <- file.path(USERPROFILE, "Documents", fsep = "\\") | |
R_USER <- HOME |
m1 <- lm(mpg ~ hp, data = mtcars) | |
m2 <- lm(mpg ~ hp + drat, data = mtcars) | |
m3 <- lm(mpg ~ hp + drat + factor(gear), data = mtcars) | |
library(pander); library(memisc) | |
panderOptions('table.alignment.rownames', 'left') | |
pander(relabel( | |
mtable(m1, m2, m3, | |
summary.stats=c('N', 'R-squared', 'F')), | |
'(Intercept)' = 'Constant', |
# Context manager to generate batches in the background via a process pool | |
# Usage: | |
# | |
# def batch(seed): | |
# .... # generate minibatch | |
# return minibatch | |
# | |
# with BatchGenCM(batch) as bg: | |
# minibatch = next(bg) | |
# .... # do something with minibatch |
# Detect operating system in Makefile. | |
# Author: He Tao | |
# Date: 2015-05-30 | |
OSFLAG := | |
ifeq ($(OS),Windows_NT) | |
OSFLAG += -D WIN32 | |
ifeq ($(PROCESSOR_ARCHITECTURE),AMD64) | |
OSFLAG += -D AMD64 | |
endif |
[General] | |
IniMode=true | |
[formats] | |
data\align-ampersand\bold=true | |
data\align-ampersand\fontFamily=<default> | |
data\align-ampersand\foreground=#dc322f | |
data\align-ampersand\italic=false | |
data\align-ampersand\overline=false | |
data\align-ampersand\pointSize=0 |
Some things takes much less time and stress once you know the right tool. Below, there is a community edited list of software for scientists.
in General purpose text/code editors. It may be better to have a good editor for everything, than different ones for different languages, scripts, notes.
bigcorPar <- function(x, nblocks = 10, verbose = TRUE, ncore="all", ...){ | |
library(ff, quietly = TRUE) | |
require(doMC) | |
if(ncore=="all"){ | |
ncore = multicore:::detectCores() | |
registerDoMC(cores = ncore) | |
} else{ | |
registerDoMC(cores = ncore) | |
} |
create different ssh key according the article Mac Set-Up Git
$ ssh-keygen -t rsa -C "your_email@youremail.com"