RemDelaporteMathurin

import numpy as np


def coinc_2(Ch1_TIME, Ch2_TIME, Ch1_AMPL, Ch2_AMPL, t_window):
    Ch1_TIME = np.asarray(Ch1_TIME)
    Ch2_TIME = np.asarray(Ch2_TIME)
    Ch1_AMPL = np.asarray(Ch1_AMPL)
    Ch2_AMPL = np.asarray(Ch2_AMPL)

    # For each Ch1 time, find window in Ch2 where match is possible

RemDelaporteMathurin

import pyvista as pv
import numpy as np
import ufl
import basix
from dolfinx.mesh import create_mesh
from mpi4py import MPI
import dolfinx

# Define the points
points = [

RemDelaporteMathurin

import numpy as np
import dolfinx
import pyvista as pv
import basix
import ufl
from dolfinx.mesh import create_mesh
from mpi4py import MPI

xrng = np.arange(0, 20, 5, dtype=np.float32)
yrng = np.arange(0, 20, 5, dtype=np.float32)

RemDelaporteMathurin

import pycountry_convert as pc
import pandas as pd
import plotly.express as px
from pypalettes import load_cmap
import matplotlib.colors as mcolors


cmap = load_cmap("blaziken")

# read registrations.csv

RemDelaporteMathurin

import matplotlib.pyplot as plt
import squarify
import pandas as pd
from pypalettes import load_cmap
from highlight_text import fig_text


dark_mode = True

cmap = load_cmap("Acadia")

RemDelaporteMathurin

from libra_toolbox.tritium.model import Model, ureg

import numpy as np

baby_diameter = 14 * ureg.cm  # TODO confirm with CAD
baby_radius = 0.5 * baby_diameter
baby_volume = 1 * ureg.L
baby_cross_section = np.pi * baby_radius**2
baby_height = baby_volume / baby_cross_section

RemDelaporteMathurin

import os
import shutil
from datetime import datetime
from PIL import Image
from PIL.ExifTags import TAGS
import sys


def get_exif_data(image_path: str):
    image = Image.open(image_path)