dantrim

import numpy as np

# create dummy two-dimensional (3x3) data that represents
# per-pixel measured quantities taken at various "time steps"
# (say, 4 of such steps):
pixel_maps = np.asarray([
    [
        [0, 0, 0],
        [2, 2, 2],
        [3, 3, 3],

dantrim

//std/stl
#include <string>
#include <memory>
#include <stdint.h>
#include <map>

// arrow/parquet
#include <arrow/api.h>
#include <arrow/io/api.h>
#include <parquet/arrow/reader.h>

dantrim

#!/usr/bin/env python

import matplotlib.pyplot as plt
import numpy as np
from scipy.interpolate import griddata
import json

##
## YARR histogram data output file
##

dantrim

#!/bin/bash

# This is an example showing how to update a value of a specified key
# (that is potentially nested) in a JSON file using shell variables 
# in some shell script. For example, some utility for updatiing in-place
# a common set of fields in a JSON configuration file.
# In the snippet below, we assume that the input is a key ("register_name")
# in some nested JSON object whose path is "RD53B.GlobalConfig".

filename=${1}

dantrim

#!/usr/bin/env python

import pytest
import some_lib

@pytest.fixture
def not_a_day_over():
     return 29

def test_current_age(not_a_day_over):