riga

#!/usr/bin/env bash

action() {
    export SCRAM_ARCH="slc7_amd64_gcc820"
    export CMSSW_VERSION="CMSSW_11_0_0_pre9"

    if [ ! -d "$CMSSW_VERSION" ]; then
        scramv1 project CMSSW "$CMSSW_VERSION"

        cd "$CMSSW_VERSION/src"

riga

#!/usr/bin/env bash

# install docker
yum remove -y docker docker-client docker-client-latest docker-common docker-latest docker-latest-logrotate docker-logrotate docker-engine
yum install -y yum-utils device-mapper-persistent-data lvm2
yum-config-manager --add-repo https://download.docker.com/linux/centos/docker-ce.repo
yum install -y docker-ce docker-ce-cli containerd.io
systemctl start docker

# enable autocompletion

riga

# coding: utf-8

"""
Test evaluation script for the DeepJet tagger.

Input dimensions and names from
https://github.com/cms-sw/cmssw/blob/02d4198c0b6615287fd88e9a8ff650aea994412e/RecoBTag/TensorFlow/plugins/DeepFlavourTFJetTagsProducer.cc
"""

import os

riga

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
HipChat integration that parses the thecodinglove.com feed and sends
new posts to a HipChat room.

Dependencies:
requests, https://pypi.python.org/pypi/requests
feedparser, https://pypi.python.org/pypi/feedparser

riga

import theano
from pylearn2.models import mlp
from pylearn2.training_algorithms import sgd
from pylearn2.termination_criteria import EpochCounter
from pylearn2.datasets.dense_design_matrix import DenseDesignMatrix
import numpy as np
from random import randint


class XOR(DenseDesignMatrix):