solidiquis

type TimeSeries = list[tuple[float, float]]

def normalize_time_series(time_series: TimeSeries, T_min: float, T_max: float) -> TimeSeries:
    min_time = time_series[0][0]
    max_time = time_series[-1][0]

    return [
        (normalize_time(t, min_time, max_time, T_min, T_max), v) for (t, v) in time_series
    ]

solidiquis

# quick and dirty demo
class Foo
  include(Module.new do
    def self.included(including_class)
      including_class.extend(StaticMethods)
      including_class.prepend(Hooks)
    end

    module Hooks; end

solidiquis

    // Highly condensed version of my code with only the relevant bits.
    // Vertices are ending up outside of clip space after transforming with MVP
    // matrices despite using the same numbers and glm functions as
    // https://learnopengl.com/Getting-started/Coordinate-Systems

    // Libs used: glium/glutin and nalgebra_glm as glm;

    let cube: [Vertex; 4] = [
        // Front face:
        Vertex { coord: [0.5, 0.5, 0.0], rgba: [1.0, 1.0, 1.0, 1.0] },

solidiquis

#!/usr/bin/env python3

from prioritize import MaxHeapq
import code

class Task:

    tasks = []

    def __init__(self, *args, **kwargs):

solidiquis

#!/usr/bin/env python3

from prioritize import MaxHeapq
import code

class Task:

    tasks = []

    def __init__(self, *args, **kwargs):

solidiquis

#!/usr/bin/env python3

from prioritize import MaxHeapq
import code

class Task:

    tasks = []

    def __init__(self, *args, **kwargs):