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// code for https://root-forum.cern.ch/t/makecsvdataframe-to-convert-from-csv-to-root-file/49692
package main

import (
	"bufio"
	"encoding/csv"
	"errors"
	"flag"
	"fmt"
	"io"

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/*
 * This file is auto-generated by makecpool.
 *   web2c/makecpool xetex
 */

#define EXTERN extern
#include "xetexd.h"
#include <stdio.h>
#include <string.h>

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daq-pmon results

• ran daq-boot on daq0
• run 254 eda(50,3,2)
• run 255 eda(50,3,2)

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import numpy as np
import pyarrow as pa

schema = pa.schema([
    pa.field("bools",  "bool", True),
    pa.field("int8s",  "i1", True),
    pa.field("int16s", "i2", True),
    pa.field("int32s", "i4", True),
    pa.field("int64s", "i8", True),
    pa.field("uint8s",  "u1", True),

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package main

import (
	"fmt"
	"log"
	"math"
	"os"
	"strconv"
)

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ML4G #1 (with Gonum/optimize)

here is a re-run of JustForFunc-38 but using gonum/optimize.Minimize to find the best set of parameters fitting the dataset.

The linearRegression function is replaced with:

func minimize(xys plotter.XYs) (m, c float64) {
	xs := make([]float64, len(xys))
	ys := make([]float64, len(xys))

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$> ssh  lxplus-cloud.cern.ch

$> source ~recast/public/setup.sh
(venv) $> recast catalogue ls
Traceback (most recent call last):
  File "/afs/cern.ch/user/r/recast/public/yadage/venv/bin/recast", line 11, in <module>
    load_entry_point('recast-atlas', 'console_scripts', 'recast')()
  File "/afs/cern.ch/user/r/recast/public/yadage/venv/lib/python3.6/site-packages/click/core.py", line 722, in __call__

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Fer latencies

Simple study of the following pipeline (over localhost-TCP):

  [sampler] -> [processor] -> [sink]

where the data being transferred is:

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Reading ROOT data benchmarks

• write a benchmark for reading ROOT files (with the Scanner types)
• input file generated with the attached C++ program
  • /data/f64s-scalar.root on clrmastergo

ROOT I/O main classes

• TFile:
• https://github.com/root-project/root/blob/v6-12-00-patches/io/io/inc/TFile.h

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package main

import (
	"fmt"
	"log"
)

func main() {
	log.SetFlags(0)
	log.SetPrefix("")