Mohamed Elashri MohamedElashri

Lets say that we have a two fits that we are trying to implement. I will assume that you have this version of double gaussian and exp class.

You really should use this one instead. It includes more sanity checks and allows you to pass iminuit limits as optional. This means that you don't have to always put (-np.inf, np.inf) for each limit anymore.

class DoubleGaussian_plus_Exp:
    def __init__(self, bins, nC, minuit_limits=None):
        self.xMin, self.xMax, self.bin_width, self.x_vals, self.y_vals, self.y_errs = self.Fit_Setup(nC, bins)

Both are designed to integrate changes from one branch into another; however, they do this in very different manners and with different end results

Merge

The merge command is a way to take the contents of one branch and integrate them into another. It does this by creating a new commit that incorporates changes from other commits.

When we issue a git merge, Git will create a new commit that has pointers to both the branches we're merging. This is referred to as a merge commit, and it is a clear way to see when a file history was altered due to a merge.

Merge Example

Add this cell code at the beginning and run it

%%shell
set -e

#---------------------------------------------------#
JULIA_VERSION="1.6.0" # any version ≥ 0.7.0
JULIA_PACKAGES="IJulia BenchmarkTools Plots" # add julia package you want to use here

	// ==UserScript==
	// @name Auto Continue for ChatGPT
	// @namespace http://melashri.net
	// @version 0.1
	// @description Automatically clicks "Continue generating" button on OpenAI's ChatGPT website.
	// @author Mohamed Elashri
	// @match https://chat.openai.com/*
	// @grant none
	// ==/UserScript==

	#include <stdio.h>
	#include <string.h> // For strncmp

	#define SIGNATURE_SIZE 8
	#define MAX_OFFSET 2048

	int main() {
	FILE* file = fopen("data.h5", "rb");
	if (!file) {
	printf("Unable to open file!\n");

	pip uninstall torch
	pip cache purge
	pip install torch torchvision --pre -f https://download.pytorch.org/whl/nightly/cu121/torch_nightly.html
	pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu117

	from ROOT import RooFit

	# Observable
	mes = ROOT.RooRealVar("mes", "m_{ES} (GeV)", 5.20, 5.30)

	# Parameters
	sigmean = ROOT.RooRealVar("sigmean", "B^{#pm} mass", 5.28, 5.20, 5.30)
	sigwidth = ROOT.RooRealVar("sigwidth", "B^{#pm} width", 0.0027, 0.001, 1.)

	# Build a Gaussian PDF

	#!/bin/bash

	# json file can be found here
	wget https://gist.githubusercontent.com/ssskip/5a94bfcd2835bf1dea52/raw/3b2e5355eb49336f0c6bc0060c05d927c2d1e004/ISO3166-1.alpha2.json

	# Help message
	read -r -d '' HELP << EOM
	Usage: ./script.sh [action] [country codes]

	Actions:

	echo '--- Disable Homebrew user behavior analytics'
	command='export HOMEBREW_NO_ANALYTICS=1'
	declare -a profile_files=("$HOME/.bash_profile" "$HOME/.zprofile")
	for profile_file in "${profile_files[@]}"
	do
	touch "$profile_file"
	if ! grep -q "$command" "${profile_file}"; then
	echo "$command" >> "$profile_file"
	echo "[$profile_file] Configured"
	else