Add a script to generate stats on crossroads

src/stats-intersection-info.py

+#!/usr/bin/env python3
+# coding: utf-8
+
+import argparse
+import json
+
+def is_evaluated(entry):
+    for el in entry:
+        if el["type"] == "evaluation":
+            return True
+    return False
+
+def is_single_node(entry):
+    for el in entry:
+        if el["type"] == "crossroad":
+            return len(el["nodes"]["inner"]) + len(el["nodes"]["border"]) == 1
+    # should never append
+    return 0
+
+def get_nb_complex(entry):
+    d = {}
+    for el in entry:
+        if el["type"] in ["crossroad", "branch"]:
+            for l in ["inner", "border"]:
+                for n in el["nodes"][l]:
+                    if n in d:
+                        d[n] += 1
+                    else:
+                        d[n] = 1
+    
+    nb = 0
+    for e in d:
+        if d[e] > 2:
+            nb += 1
+    
+    return nb
+
+
+def get_stats(entries, latex):
+    nb_intersections=len(entries)
+
+    nb_single = len([e for e in entries if is_single_node(e)])
+    complexity = [get_nb_complex(e) for e in entries]
+    nb_complex = len([e for e in complexity if e > 1])
+    nb_intermediate = nb_intersections - nb_complex - nb_single
+
+    if latex:
+        print(' & '.join(map(str, [nb_intersections, nb_single, nb_intermediate, nb_complex])) + "\\\\")
+    else:    
+        print(" Nb: ", nb_intersections)
+        print(" 1 node:", nb_single, "(", f'{(nb_single / nb_intersections * 100):.1f}', "%)")
+        print(" n nodes, 1 complex node:", nb_intermediate, "(", f'{(nb_intermediate / nb_intersections * 100):.1f}', "%)")
+        print(" n complex nodes:", nb_complex, "(", f'{(nb_complex / nb_intersections * 100):.1f}', "%)")
+
+
+
+parser = argparse.ArgumentParser(description="Print statistics from a set of crossroads (intersections) contained in a json file.")
+parser.add_argument('-i', '--input', help='Input json file', type=argparse.FileType('r'), required=True)
+parser.add_argument('-l', '--latex', help='LaTeX output', action='store_true')
+args = parser.parse_args()
+
+# load data
+all = json.load(args.input)
+evaluated = [e for e in all if is_evaluated(e)]
+
+if args.latex:
+    print("% stats", args.input.name)
+    get_stats(all, True)
+    print("% stats on evaluated")
+    get_stats(evaluated, True)
+else:
+    print("Stats:")
+    get_stats(all)
+    print("")
+
+    print("Stats on evaluated:")
+    get_stats(evaluated)
+