add some generic datatypes

aman/types/Waypoint.py

@@ -0,0 +1,33 @@
+#!/usr/bin/env python
+
+from sklearn.metrics.pairwise import haversine_distances
+import numpy as np
+
+class Waypoint:
+    def dms2dd(coordinate : str):
+        split = coordinate.split('.')
+        if 4 != len(split):
+            return 0.0
+
+        direction = split[0][1]
+        degrees = float(split[0][1:])
+        minutes = float(split[1])
+        seconds = float(split[2]) * (float(split[3]) / 1000.0)
+
+        dd = degrees + minutes / 60.0 + seconds / (60 * 60)
+        if 'E' == direction or 'S' == direction:
+            dd *= -1.0
+
+        return dd
+
+    def __init__(self, name : str, latitude : float, longitude : float):
+        self.name = name
+        self.coordinate = np.array([ latitude, longitude ])
+
+    def __str__(self):
+        return 'Name: ' + self.name + ', Lat: ' + str(self.coordinate[0]) + ', Lon: ' + str(self.coordinate[1])
+
+    def haversine(self, other):
+        self_radians = [np.radians(_) for _ in self.coordinate]
+        other_radians = [np.radians(_) for _ in other.coordinate]
+        return 6371.0 * haversine_distances([self_radians, other_radians])[0][1]