#!/usr/bin/env python3
from random import random
with open("./00-sample-latlon.csv", "w") as f:
    f.write("lat,lon\n")
    seen_coords = set()

    # Normalized
    for i in range(10000):
        lat = (random() - .5) * 2 * 90
        lon = (random() - .5) * 2 * 180
        s = f"{lat},{lon}\n"
        if s not in seen_coords:
            seen_coords.add(s)
            f.write(s)

    # Edge cases
    # Do both positive and negative
    for neg in (1, -1):
        # Add a little bit of variation
        for dec in (0, .1, .5, .05, .9999):
            # Possibly strange latitudes
            for lat_i in (0, 1, 90):
                # Possibly strong longitudes
                for lon_i in (0, 1, 90, 180):
                    lat = neg * (lat_i - dec)
                    lon = neg * (lon_i - dec)

                    s = f"{lat:f},{lon:f}\n"
                    if s not in seen_coords:
                        seen_coords.add(s)
                        f.write(s)

    # Non-normalized
    for i in range(10000):
        lat = (random() - .5) * 2 * 1000
        lon = (random() - .5) * 2 * 1000
        s = f"{lat},{lon}\n"
        if s not in seen_coords:
            seen_coords.add(s)
            f.write(s)