// disk since the name of this latter is randomly generated.
type profilerWrapper struct {
	// Profile recorded at start of benchmark.
	records map[string][]byte
	stopFn  func() ([]byte, error)
	ext     string
}

// record will record the profile and store it as the base.
func (p *profilerWrapper) record(profileType string, debug int, recordName string) {
	var buf bytes.Buffer
	if p.records == nil {

                    patternLayout {
                        artifact("[revision]/[artifact]-[revision]-[ext]")
                    }
                    metadataSources { artifact() }
                    content {
                        includeGroup("android-studio")
                    }
                }
            }

def non_operation():
    return {"message": "Hello World"}


def non_decorated_route():
    return {"message": "Hello World"}


app.add_api_route("/non_decorated_route", non_decorated_route)


@app.get("/text")
def get_text():
    return "Hello World"


@app.get("/path/{item_id}")
def get_id(item_id):
    return item_id


@app.get("/path/str/{item_id}")
def get_str_id(item_id: str):
    return item_id

        }
        return table
    }

    private Element getSection(String title) {
        def sections = classSection.section.findAll {
            it.title[0] && it.title[0].text().trim() == title
        }
        if (sections.size() < 1) {
            throw new RuntimeException("Docbook content for $className does not contain a '$title' section.")
        }
        return sections[0]
    }

 */
package org.apache.maven.eventspy;

import java.util.Map;

/**
 * A core extension to monitor Maven's execution. Typically, such an extension gets loaded into Maven by specifying the
 * property {@code maven.ext.class.path} on the command line. As soon as dependency injection is set up, Maven
 * looks up all implementers of this interface and calls their {@link #init(Context)} method. Note:

        params {
            password(
                "env.DEVELOCITY_ACCESS_KEY",
                "%ge.gradle.org.access.key%;%develocity.grdev.net.access.key%;%develocity-ext-hetzner.grdev.net.access.key%",
            )
            password("env.ORG_GRADLE_PROJECT_botGradleGitHubToken", "%github.bot-gradle.token%")
        }

        features {

        findLatest("guava", "com.google.guava:guava:[20,)", versionProperties)
        findLatest("commons-math", "org.apache.commons:commons-math3:latest.release", versionProperties)
        findLatest("commons-text", "org.apache.commons:commons-text:latest.release", versionProperties)
        findLatest("kotlin", "org.jetbrains.kotlin:kotlin-gradle-plugin:[1.4,)", versionProperties)

        store(versionProperties)
    }

### **4.2 WordCount**

WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.

The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.

- Login as user **‘spark’**.

package disk

import (
	"errors"
	"fmt"
	"strconv"
	"syscall"
)

// fsType2StringMap - list of filesystems supported on linux
var fsType2StringMap = map[string]string{
	"1021994":  "TMPFS",
	"137d":     "EXT",
	"4244":     "HFS",
	"4d44":     "MSDOS",
	"52654973": "REISERFS",
	"5346544e": "NTFS",
	"58465342": "XFS",
	"61756673": "AUFS",
	"6969":     "NFS",
	"ef51":     "EXT2OLD",
	"ef53":     "EXT4",

// to accumulate the text of a file.
func readLines(b *Reader) string {
	s := ""
	for {
		s1, err := b.ReadString('\n')
		if err == io.EOF {
			break
		}
		if err != nil && err != iotest.ErrTimeout {
			panic("GetLines: " + err.Error())
		}
		s += s1
	}
	return s
}

// Call Read to accumulate the text of a file
func reads(buf *Reader, m int) string {