APN-Pucky

import matplotlib.pyplot as plt
from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg
import tkinter as tk

# Sample data: dictionary mapping names to image paths
image_data = {
    'Image 1': 'image1.jpg',
    'Image 2': 'image2.jpg',
    'Image 3': 'image3.jpg'
}

APN-Pucky

$ equery g --depth=5 jupyter 
 * Searching for jupyter ...

 * dependency graph for dev-python/jupyter-1.0.0-r4
 `--  dev-python/jupyter-1.0.0-r4  amd64 
   `--  dev-python/jupyter-core-5.4.0  (>=dev-python/jupyter-core-4.2.0) amd64  [python_targets_python3_10(-)? python_targets_python3_11(-)? python_targets_python3_12(-)?]
    `--  dev-python/platformdirs-3.11.0  (>=dev-python/platformdirs-2.5) amd64  [python_targets_python3_10(-)? python_targets_python3_11(-)? python_targets_python3_12(-)?]
     `--  dev-python/pypy3-7.3.13  (dev-python/pypy3) amd64 
      `--  dev-python/pypy3_10-7.3.13_p1  (=dev-python/pypy3_10-7.3.13*) amd64  [gdbm? ncurses? sqlite? tk?]
       `--  dev-python/pypy3_10-exe-7.3.13  (>=dev-python/pypy3_10-exe-7.3.13) amd64  [bzip2(+) ncurses?]

APN-Pucky

\s*TopologyList\[(.*)\]\[(\s*Topology\[(\d+)\]\[(\s*Propagator\[(Incoming|Outgoing|Internal)\]\[(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Field\[(\d+)\]\s*)\]\s*),?(\s*Propagator\[(Incoming|Outgoing|Internal)\]\[(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Field\[(\d+)\]\s*)\]\s*)?,?(\s*Propagator\[(Incoming|Outgoing|Internal)\]\[(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Field\[(\d+)\]\s*)\]\s*)?,?(\s*Propagator\[(Incoming|Outgoing|Internal)\]\[(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Field\[(\d+)\]\s*)\]\s*)?,?(\s*Propagator\[(Incoming|Outgoing|Internal)\]\[(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Field\[(\d+)\]\s*)\]\s*)?,?(\s*Propagator\[(Incoming|Outgoing|Internal)\]\[(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Field\[(\d+)\]\s*)\]\s*)?,?(\s*Propagator\[(Incoming|Outgoing|Internal)\]\[(\s*Vertex\[(\d+)\]\[(\d+)\]\s*),(\s*Vertex\[(\d+)\]\[(\d+)

APN-Pucky

APN-Pucky

import json
import sys 

def recursive_for_replace(data):
    if "xsec_pb" in data and "unc_pb" in data:
        data["unc_pb"] = data["unc_pb"] * data["xsec_pb"]
        return
    for k in data:
        recursive_for_replace(data[k])

APN-Pucky

import json
import sys 

def myhook(pairs):
    d = {}
    for k, v in pairs:
        if k not in d:
          d[k] = v
        else:
          d[k] = {**d[k],**v} 

APN-Pucky

sed -i "s/static_cast<long double>//g" *.cc *.h

sed -i "s/long double/double/g" *.cc *.h

sed -i "s/\([0-9]*\.[0-9]*\)L/\1/g" *.cc *.h

sed -i "s/\([0-9][0-9]*\.[0-9]*\)L/\1/g" *.cc *.h
sed -i "s/\([0-9][0-9]*\.[0-9][0-9]*\)L/\1/g" *.cc *.h

APN-Pucky

from multiprocessing import Process,Queue
import time
def queued(q,f,*args,**kwargs):
    q.put(f(*args,**kwargs))
def res(a):
    return next(a)
def gen(f,*args,**kwargs):
    q = Queue()
    p = Process(target=queued,args=(q,f,*args),kwargs=kwargs)
    yield p.start()

APN-Pucky

from scipy.odr import *

def fit_curve(datax,datay,function,p0=None,yerr=None,xerr=None):
    model = Model(lambda p,x : function(x,*p))
    realdata = RealData(datax,datay,sx=xerr,sy=yerr)
    odr = ODR(realdata,model,beta0=p0)
    out = odr.run()
    return unp.uarray(out.beta,out.sd_beta)