matthewfeickert

Small From Scratch Demo

This is a very brief demo to show how one could go from an environment with just a Python 3 runtime to pyhf installed and being useful.

Installation

To take advantage of the great tools that uproot provides us let's install pyhf with the xmlio options

pip3 install pyhf[xmlio]

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default: example

all: example key

example: example.mmd
	docker run --rm -v "${PWD}":/home/node/data matthewfeickert/mermaid-cli -i example.mmd -o example.svg
	docker run --rm -v "${PWD}":/home/node/data matthewfeickert/mermaid-cli -i example.mmd -o example.pdf
	docker run --rm -v "${PWD}":/home/node/data matthewfeickert/mermaid-cli -i example.mmd -o example.png

key: gantt_key.mmd

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Testing Python Docstrings with doctest and pydocstyle

Setup

Like any good project, we'll create a virtual environment for this example. You can use your virtual environment tool of choice, but I'm just going to show with Python's venv (and some help from venv-activate)

cd
mkdir venvs
cd venvs

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MG5aMC_PythonMEs Minimal Working Example

Kyle notified people over email and Twitter that Valentin Hirschi had gotten MadGraph to export matrix element codes for Feynman diagrams into a form that can be used by differentiable machine learning libraries (e.g., TensorFlow and PyTorch). The project is called MG5aMC_PythonMEs. This is a short walkthrough of doing the simplest possible thing: just running the code that MG5aMC_PythonMEs generates. As I don't have much experience with MadGraph5_aMC@NLO and its installation and use instructions are quite bad I threw together a Docker image that at leasts somewhat works. This walkthrough will use that.

To be clear, this is never how you would actually do anything with a Docker image. This is just throwing things against the wall at the moment.

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FROM python:3.8

MAINTAINER Matthew Feickert <matthewfeickert@users.noreply.github.com>

USER root
WORKDIR /root

SHELL [ "/bin/bash", "-c" ]

RUN apt-get -qq -y update && \

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# derived from Table 4 (page 58) of http://arxiv.org/pdf/1312.5353v3

imax     3   number of bins
jmax     2   number of samples minus one
kmax     *   number of nuisance parameters
--------------------------------------------------------
bin                             bin4e       bin2e2m         bin4m
observation                      4         13          8
--------------------------------------------------------
bin                             bin4e       bin2e2m         bin4m         bin4e       bin2e2m         bin4m         bin4e       bin2e2m         bin4m

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*.pdf
HistFactory/
validation.txt
.xml2json_output
roundtrip.json

matthewfeickert

Example of Python classes and the use of self

Click this button to run an example in Binder:

As you can see from requirements.txt I've added some fun Python libraries, that are available in the Binder instance so you can use them in this sandbox environment.

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cmake_minimum_required (VERSION 3.14 FATAL_ERROR)
set(CMAKE_CXX_STANDARD 14)
project(testing_frugal)

include(FetchContent)

FetchContent_Declare(
  nlohmann_json
  GIT_REPOSITORY https://github.com/nlohmann/json.git
  GIT_TAG        v3.8.0

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*.asetup.save
build/
submitDir/