AStupidBear

#!/usr/bin/env python
try:
    from pydocker import DockerFile
except ImportError:
    try:
        from urllib.request import urlopen
    except ImportError:
        from urllib import urlopen
    exec(urlopen('https://raw.githubusercontent.com/AStupidBear/pydocker/master/pydocker.py').read())

AStupidBear

import numpy as np
import onnx
import sys
from onnx import helper, numpy_helper, shape_inference
import sympy

from packaging import version
assert version.parse(onnx.__version__) >= version.parse("1.5.0")

AStupidBear

#!/bin/bash
args=("$@")
src=${args[$(($#-2))]}
dst=${args[$(($#-1))]}
rsyncopt=${@:1:$#-2}
if [[ ! $dst == *:* ]]; then
    mkdir -p $dst
fi
find $src -mindepth 1 -maxdepth 1 | sort -nr | xargs -n 1 -P 10 -I {} bash -c """
name=\$(basename {})

AStupidBear

#!/bin/bash
iface=$(ip addr show | awk '/inet.*brd/{print $NF; exit}')
hostip=$(ip addr show $iface | grep 'inet ' | awk '{print $2}' | cut -f1 -d'/')
user=${1-$USER}
pass=${2-abc1234}
root=${3-/BIGDATA1}

cat |sudo tee -a /etc/exports << EOF
$root *(rw,sync,no_root_squash,no_subtree_check)
EOF

AStupidBear

using Flux, Random, Statistics

Random.seed!(1234)

x = randn(Float32, 10, 1, 100)
y = mean(x, dims = 1)

model = Chain(LSTM(10, 100), LSTM(100, 1))

function loss(x, y)

AStupidBear

#!/usr/bin/env julia
using Pkg

if !haskey(Pkg.installed(), "PkgTemplates")
    pkg"add https://github.com/invenia/PkgTemplates.jl#master"
end

using PkgTemplates

t = Template(

AStupidBear

#!/bin/bash
iface=$(ip addr show | awk '/inet.*brd/{print $NF; exit}')
gateway=$(route -n | grep 'UG[ \t]' | awk '{print $2}')
address=$(ip addr show | awk '/inet.*brd/{print $2; exit}')
if which netplan &> /dev/null; then
    yaml=$(ls /etc/netplan/*.yaml | head -n 1)
    sudo cp $yaml $yaml.bak
    sudo tee $yaml << EOF
network:
  version: 2