solvingj

Updating makefiles....
 Considering target file 'Makefile'.
  Looking for an implicit rule for 'Makefile'.
  Trying pattern rule with stem 'Makefile'.
  Trying implicit prerequisite 'Makefile.o'.
  Trying pattern rule with stem 'Makefile'.
  Trying implicit prerequisite 'Makefile.c'.
  Trying pattern rule with stem 'Makefile'.
  Trying implicit prerequisite 'Makefile.cc'.
  Trying pattern rule with stem 'Makefile'.

solvingj

user@user-laptop:~/tmp$ ls -l
total 32300
-rwxrwxrwx 1 user user    58312 May  2 14:21 _asyncio.cpython-36-x86_64-linux-gnu.so
-rwxrwxrwx 1 user user    12648 May  2 14:21 _bisect.cpython-36-x86_64-linux-gnu.so
-rwxrwxrwx 1 user user    46528 May  2 14:21 _blake2.cpython-36-x86_64-linux-gnu.so
-rwxrwxrwx 1 user user   149880 May  2 14:21 _codecs_cn.cpython-36-x86_64-linux-gnu.so
-rwxrwxrwx 1 user user   158104 May  2 14:21 _codecs_hk.cpython-36-x86_64-linux-gnu.so
-rwxrwxrwx 1 user user    27000 May  2 14:21 _codecs_iso2022.cpython-36-x86_64-linux-gnu.so
-rwxrwxrwx 1 user user   264568 May  2 14:21 _codecs_jp.cpython-36-x86_64-linux-gnu.so
-rwxrwxrwx 1 user user   137592 May  2 14:21 _codecs_kr.cpython-36-x86_64-linux-gnu.so

solvingj

Preface
DAG stands for Directed Acyclic Graph . This term is commonly used in software development when discussing dependency trees. In the context of Jenkins, "DAG Build" provides the necessary logic to calculate a DAG out of the existing Jenkins Dependency Graph defined in Jenkins projects for each build.

DAG Build Feature Summary
The DAG Build plugin builds adds automatic enforcement of a correct, coherent, ordered, and linear execution of a dependency graph, with support for complex fork and join scenarios. Notably, it works with both "Upstream" and "Downstream" build triggers. Historically, other strategies and mechanisms have enforced this type of deliberate, coordinated build logic within Jenkins, however they all have dramatically different designs, and thus have different characteristics.

Motivation
This plugin is particularly relevant for Jenkins deployments with complex build dependency graphs featuring "diamond dependency" scenarios. Abstractly, a diamond dependency is one

solvingj

pipeline{
    stages {
        stage('Checkout') {
            steps {
                checkout([
                    $class: '<repo_scm_type>', 
                    locations: [[
                        credentialsId: '<repo_credentials>', 
                        local: '.', 
                        remote: '<repo_url>']], 

solvingj

def call(String name, Closure body) {
    echo "Hello, ${name} first."
    body(test)
}

solvingj

AT_REVISION = ""
pipeline {
    agent {
        label 'agent2'
    }
    stages {
        stage('build_image_locally') {
            steps {
                script {
                    AT_REVISION="1234"

solvingj

pipeline {
    agent { label 'agent4'}
    stages {
        stage('hello_world'){
            agent {
                docker {
                    image 'myartifactory.com/docker/linux-build-current'
                    args  '-m 2gb'
                }
            }

solvingj

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

from conans import ConanFile, tools
import os


class BoostBaseConan(ConanFile):
    name = "boost_base"
    version = "1.67.0"

solvingj

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

from conans import python_requires, tools
import os
    

base = python_requires("boost_base/1.67.0@bincrafters/testing")

class BoostContextConan(base.BoostBaseConan):

solvingj

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

from conans import ConanFile, tools
from conans import python_requires


base = python_requires("boost_base/1.67.0@bincrafters/testing")

class BoostContextConan(base.BoostBaseConan):