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/// https://play.rust-lang.org/?version=stable&mode=debug&edition=2021&gist=35d62d49d15756d1116d620099f324ae
/// Example of a container using enum.

use std::collections::HashMap;
use serde::Serialize;

#[derive(Debug, Serialize)]
struct PlantA {
    id: String,
}

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#[derive(Clone)]
struct S;

fn main() {
   let s
       // Uncomment this line to provoke an "trait is not object safe" error
        : Box<dyn Clone> 
       = Box::new(S);
   let _ = s.clone();
}

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use itertools::put_back;
use itertools::Itertools;

fn main() {
    let qp_it = put_back([(1, 2), (2, 2), (3, 2), (4, 3), (5, 2)].into_iter());
    let acc_qp_it = qp_it.batching(|it| {
        let mut q_acc = 0;
        let mut qp_acc = 0;
        while q_acc < 5 {
            match it.next() {

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// See https://stackoverflow.com/questions/67727239/how-to-combine-including-nested-array-values-two-serde-yamlvalue-objects
// Note this is not https://docs.rs/serde_yaml/latest/serde_yaml/value/enum.Value.html#method.apply_merge

use serde::{Serialize, Deserialize};
use serde_yaml::Value;

fn merge_yaml(a: &mut serde_yaml::Value, b: serde_yaml::Value) {
    match (a, b) {
        (a @ &mut serde_yaml::Value::Mapping(_), serde_yaml::Value::Mapping(b)) => {
            let a = a.as_mapping_mut().unwrap();

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# Please read https://blog.ganssle.io/tag/pytz.html

import datetime


# The Good

try:
    import zoneinfo
except ImportError:

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"""
So you are doing Python on MS Windows. Maybe even deploying your stuff on a Windows Server.
By now you know that virtual environments are HEAVY on Windows, and you have many projects or application with the same
copy of numpy (60MB each) over and over again.

No more. Install a package by unpacking wheels (not pip install) to the corresponding versioned folder:

  __pypackages__
    └── numpy-1.21.0
        └── numpy

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"""
So you want your stdout, stderr and logs in a file, but you only know the final log file name somewhere down the road?
"""
import io
import sys
import threading
from pathlib import Path
from typing import IO, cast

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What is a Python Application

A Python Application describes required packages, entry point and constraints for the operation and development process.

Operation

1. An entry point, e.g. my_app.my_module:App
2. Constraints for required packages AppR, e.g. {my_app=1.2.3, my_util=0.1.2, pandas=1.2.5, ...}

Development

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This a Chrome extension to make yammer feed pages more user friendly. As I personally do not trust extensions from the Chrome Web Store, this extension is only offered through this gist and must be installed in Developer Mode.

Setup

1. Download this gist to some folder my_yammer_extension_folder
2. Add this Chrome Extension according to Getting started - Chrome Developers:
   1. Open the Extension Management page by navigating to chrome://extensions.
   2. Enable Developer Mode by clicking the toggle switch next to Developer mode.
3. Click the LOAD UNPACKED button and select the my_yammer_extension_folder

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import numpy as np


class Plant:
    """
    KISS implementation of a time series data class with a ndarray backing.
    Think of Pandas with typing.
    Properties can be also set by scalar values.
    """
    def __init__(self, dim: int):