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authorVincent Ambo <mail@tazj.in>2021-12-13T22·51+0300
committerVincent Ambo <mail@tazj.in>2021-12-13T23·15+0300
commit019f8fd2113df4c5247c3969c60fd4f0e08f91f7 (patch)
tree76a857f61aa88f62a30e854651e8439db77fd0ea /users/wpcarro/scratch/facebook/topo-sort.py
parent464bbcb15c09813172c79820bcf526bb10cf4208 (diff)
parent6123e976928ca3d8d93f0b2006b10b5f659eb74d (diff)
subtree(users/wpcarro): docking briefcase at '24f5a642' r/3226
git-subtree-dir: users/wpcarro
git-subtree-mainline: 464bbcb15c09813172c79820bcf526bb10cf4208
git-subtree-split: 24f5a642af3aa1627bbff977f0a101907a02c69f
Change-Id: I6105b3762b79126b3488359c95978cadb3efa789
Diffstat (limited to 'users/wpcarro/scratch/facebook/topo-sort.py')
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diff --git a/users/wpcarro/scratch/facebook/topo-sort.py b/users/wpcarro/scratch/facebook/topo-sort.py
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+import random
+from heapq import heappush, heappop
+from collections import deque
+
+# A topological sort returns the vertices of a graph sorted in an ascending
+# order by the number of incoming edges each vertex has.
+#
+# A few algorithms for solving this exist, and at the time of this writing, I
+# know none. I'm going to focus on two:
+#   1. Kahn's
+#   2. DFS (TODO)
+
+def count_in_edges(graph):
+    result = {k: 0 for k in graph.keys()}
+    for xs in graph.values():
+        for x in xs:
+            result[x] += 1
+    return result
+
+# Kahn's algorithm for returning a topological sorting of the vertices in
+# `graph`.
+def kahns_sort(graph):
+    result = []
+    q = deque()
+    in_edges = count_in_edges(graph)
+    for x in [k for k, v in in_edges.items() if v == 0]:
+        q.append(x)
+    while q:
+        x = q.popleft()
+        result.append(x)
+        for c in graph[x]:
+            in_edges[c] -= 1
+            if in_edges[c] == 0:
+                q.append(c)
+    return result
+
+graphs = [
+    {
+        0: [],
+        1: [],
+        2: [3],
+        3: [1],
+        4: [0, 1],
+        5: [0, 2],
+    },
+    {
+        'A': ['C', 'D'],
+        'B': ['D', 'E'],
+        'C': [],
+        'D': ['F', 'G'],
+        'E': [],
+        'F': [],
+        'G': ['I'],
+        'H': ['I'],
+        'I': [],
+    }
+]
+
+print("--- Kahn's --- ")
+for graph in graphs:
+    print(kahns_sort(graph))