arianvp

Native Secure Enclave backed ssh keys on MacOS

It turns out that MacOS Tahoe can generate and use secure-enclave backed SSH keys! This replaces projects like https://github.com/maxgoedjen/secretive

There is a shared library /usr/lib/ssh-keychain.dylib that traditionally has been used to add smartcard support to ssh by implementing PKCS11Provider interface. However since recently it also implements SecurityKeyProivder which supports loading keys directly from the secure enclave! SecurityKeyProvider is what is normally used to talk to FIDO2 devices (e.g. libfido2 can be used to talk to your Yubikey). However you can now use it to talk to your Secure Enclave instead!

arogozhnikov

Notes on edgedb

I’ve made a test evaluation of edgedb for the purposes of a small company.

My order of priorities (starting from most important):

1. correctness of results (data and code)
2. developer convenience
3. minimal maintenance
4. efficiency/scalability

geerlingguy

# Download the pivariety driver install script and make it executable
wget -O install_pivariety_pkgs.sh https://github.com/ArduCAM/Arducam-Pivariety-V4L2-Driver/releases/download/install_script/install_pivariety_pkgs.sh
chmod +x install_pivariety_pkgs.sh

# Install libcamera dev and apps
./install_pivariety_pkgs.sh -p libcamera_dev
./install_pivariety_pkgs.sh -p libcamera_apps

# Install the Hawk-Eye kernel driver
./install_pivariety_pkgs.sh -p 64mp_pi_hawk_eye_kernel_driver

going-digital

;; Native implementations of sin, log and exp functions.
;; sintau: 41 bytes code, 34 bytes shared code, 24 bytes data
;; exp2: 25 bytes code, 34 bytes shared code, 20 bytes data
;; log2: 37 bytes code, 34 bytes shared code, 24 bytes data
;; Total 137 bytes code, 68 bytes data

;; Wasm-opt -Oz tries to optimise out $half by converting to f32.consts, but that actually takes up more space, not less.

;; Polynomial coefficients calculated by accompanying python script.
;; call $evalpoly parameters will need to be manually changed for different length polynomials.

jitran

#!/usr/bin/env python3

from aws_cdk import core

from my_python_sample.my_python_sample_stack import MyPythonSampleStack


app = core.App()
MyPythonSampleStack(app, 'my-python-sample', env={'region': 'ap-southeast-2'})

yang-song

import tensorflow as tf


def gradients(f, x, grad_ys=None):
    '''
    An easier way of computing gradients in tensorflow. The difference from tf.gradients is
        * If f is not connected with x in the graph, it will output 0s instead of Nones. This will be more meaningful
            for computing higher-order gradients.

        * The output will have the same shape and type as x. If x is a list, it will be a list. If x is a Tensor, it

crazyhottommy

An error

I was using TEQC to do quality control of my WES bam files aligned by bwa-mem. My data are paired end, so a function reads2pairs is called to make the paired-end reads to be a single fragment. I then get this error:

> readpairs <- reads2pairs(reads)
Error in reads2pairs(reads) : read pair IDs do not seem to be unique

I asked in the bioconductor support site and went to the source code of that function.

marten-cz

# Run command with the same user ID as current user
# -v $(pwd):/tmp/mount - mount current directory to /tmp/mount/
# --env HOME="/tmp/" - some commands may need to be able to write to your home, se it to temporary folder
docker run -ti --rm -v $(pwd):/tmp/mount —user=$(id -u) --env HOME="/tmp/" debian:jessie

# Mount current users and group and be able to use them
# mount /etc/group and /etc/passwd read only
# set user from $USER
docker run -ti --rm -v $(pwd):/tmp/mount -w /tmp/hx -v /etc/group:/etc/group:ro -v /etc/passwd:/etc/passwd:ro —user=$USER debian:jessie

arogozhnikov

mstaflex

# executing a script for user 'pi' with std. shell

su -c "./home/pi/run_robbi_demo.sh" -s /bin/sh pi