A template for jupyter-notebook
%load_ext autoreload
%autoreload 2
import numpy
from PIL import Image
from IPython.display import display
<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<title>Speech-to-Text</title> | |
<script> | |
function echo(text) { | |
var style = 'color: #884488; font-weight: bold; font-size: 20px; \ | |
text-shadow: #dddddd 2px 0px, #dddddd -2px 0px, #dddddd 0px -2px, \ |
extern crate tch; // https://github.com/LaurentMazare/tch-rs | |
use tch::{Tensor, no_grad}; | |
fn sqrt(v: f64) -> f64 { | |
let mut x = Tensor::from(v / 2.0).set_requires_grad(true); | |
let lambda = 0.01; | |
for _ in 0..100 { | |
let y = &x * &x - v; | |
let loss = &y * &y; | |
x.zero_grad(); |
#!/bin/bash | |
URL=http://s.cympfh.cc/cympfh/sleep | |
OUT=./neoki.png | |
last_status=NONE | |
datfile=$(mktemp) | |
curl -s $URL | while read t status; do | |
date_ymd=$(date -d "$t" "+%Y%m%d") |
#!/bin/bash | |
HEADER=$(mktemp) | |
BODY=$(mktemp) | |
REQ=$(mktemp) | |
FIFO=/tmp/fifo.$$ | |
mkfifo $FIFO | |
trap "rm -f $HEADER $BODY $REQ $FIFO; exit" INT |
function iota(n, begin=0, step=1) { | |
var xs = []; | |
while (xs.length < n) { | |
if (xs.length == 0) { | |
xs.push(begin); | |
} else { | |
xs.push(xs[xs.length - 1] + step); | |
} | |
} | |
return xs |
pyenv-init() { | |
if [ -d ~/.pyenv ]; then | |
export PYENV_ROOT="$HOME/.pyenv" | |
export PATH="$HOME/.pyenv/bin:$PATH" | |
[ -d $PYENV_ROOT ] && eval "$(pyenv init -)" | |
fi | |
} | |
python() { | |
unfunction python | |
unfunction pip |
https://tabelog.com/tokyo/A1301/A130101/13002260/ | |
https://tabelog.com/tokyo/A1301/A130101/13002322/ | |
https://tabelog.com/tokyo/A1301/A130101/13002374/ | |
https://tabelog.com/tokyo/A1301/A130101/13002573/ | |
https://tabelog.com/tokyo/A1301/A130101/13004993/ | |
https://tabelog.com/tokyo/A1301/A130101/13005014/ | |
https://tabelog.com/tokyo/A1301/A130101/13005683/ | |
https://tabelog.com/tokyo/A1301/A130101/13007587/ | |
https://tabelog.com/tokyo/A1301/A130101/13009543/ | |
https://tabelog.com/tokyo/A1301/A130101/13010470/ |
#!/bin/bash | |
DAT=/tmp/kintai.jsonl | |
DAT1=/tmp/kintai.jsonl.1 | |
DAT2=/tmp/kintai.jsonl.2 | |
PNG=/tmp/kintai.png | |
curl -s "http://s.cympfh.cc/cympfh/kintai" | cut -d ' ' -f2 > $DAT | |
grep shussha $DAT | jq -r .datetime > $DAT1 | |
grep taisha $DAT | jq -r .datetime > $DAT2 |
A template for jupyter-notebook
%load_ext autoreload
%autoreload 2
import numpy
from PIL import Image
from IPython.display import display
#!/bin/bash | |
for i in $(seq 0 15); do | |
for j in $(seq 0 15); do | |
C=$(( i * 16 + j )) | |
printf "\e[48;5;${C}m %03x " "${C}" | |
done | |
printf "\e[0m\n" # reset & newline | |
done |