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-rw-r--r--include/linux/min_heap.h134
1 files changed, 134 insertions, 0 deletions
diff --git a/include/linux/min_heap.h b/include/linux/min_heap.h
new file mode 100644
index 000000000000..44077837385f
--- /dev/null
+++ b/include/linux/min_heap.h
@@ -0,0 +1,134 @@
+/* SPDX-License-Identifier: GPL-2.0 */
+#ifndef _LINUX_MIN_HEAP_H
+#define _LINUX_MIN_HEAP_H
+
+#include <linux/bug.h>
+#include <linux/string.h>
+#include <linux/types.h>
+
+/**
+ * struct min_heap - Data structure to hold a min-heap.
+ * @data: Start of array holding the heap elements.
+ * @nr: Number of elements currently in the heap.
+ * @size: Maximum number of elements that can be held in current storage.
+ */
+struct min_heap {
+ void *data;
+ int nr;
+ int size;
+};
+
+/**
+ * struct min_heap_callbacks - Data/functions to customise the min_heap.
+ * @elem_size: The nr of each element in bytes.
+ * @less: Partial order function for this heap.
+ * @swp: Swap elements function.
+ */
+struct min_heap_callbacks {
+ int elem_size;
+ bool (*less)(const void *lhs, const void *rhs);
+ void (*swp)(void *lhs, void *rhs);
+};
+
+/* Sift the element at pos down the heap. */
+static __always_inline
+void min_heapify(struct min_heap *heap, int pos,
+ const struct min_heap_callbacks *func)
+{
+ void *left, *right, *parent, *smallest;
+ void *data = heap->data;
+
+ for (;;) {
+ if (pos * 2 + 1 >= heap->nr)
+ break;
+
+ left = data + ((pos * 2 + 1) * func->elem_size);
+ parent = data + (pos * func->elem_size);
+ smallest = parent;
+ if (func->less(left, smallest))
+ smallest = left;
+
+ if (pos * 2 + 2 < heap->nr) {
+ right = data + ((pos * 2 + 2) * func->elem_size);
+ if (func->less(right, smallest))
+ smallest = right;
+ }
+ if (smallest == parent)
+ break;
+ func->swp(smallest, parent);
+ if (smallest == left)
+ pos = (pos * 2) + 1;
+ else
+ pos = (pos * 2) + 2;
+ }
+}
+
+/* Floyd's approach to heapification that is O(nr). */
+static __always_inline
+void min_heapify_all(struct min_heap *heap,
+ const struct min_heap_callbacks *func)
+{
+ int i;
+
+ for (i = heap->nr / 2; i >= 0; i--)
+ min_heapify(heap, i, func);
+}
+
+/* Remove minimum element from the heap, O(log2(nr)). */
+static __always_inline
+void min_heap_pop(struct min_heap *heap,
+ const struct min_heap_callbacks *func)
+{
+ void *data = heap->data;
+
+ if (WARN_ONCE(heap->nr <= 0, "Popping an empty heap"))
+ return;
+
+ /* Place last element at the root (position 0) and then sift down. */
+ heap->nr--;
+ memcpy(data, data + (heap->nr * func->elem_size), func->elem_size);
+ min_heapify(heap, 0, func);
+}
+
+/*
+ * Remove the minimum element and then push the given element. The
+ * implementation performs 1 sift (O(log2(nr))) and is therefore more
+ * efficient than a pop followed by a push that does 2.
+ */
+static __always_inline
+void min_heap_pop_push(struct min_heap *heap,
+ const void *element,
+ const struct min_heap_callbacks *func)
+{
+ memcpy(heap->data, element, func->elem_size);
+ min_heapify(heap, 0, func);
+}
+
+/* Push an element on to the heap, O(log2(nr)). */
+static __always_inline
+void min_heap_push(struct min_heap *heap, const void *element,
+ const struct min_heap_callbacks *func)
+{
+ void *data = heap->data;
+ void *child, *parent;
+ int pos;
+
+ if (WARN_ONCE(heap->nr >= heap->size, "Pushing on a full heap"))
+ return;
+
+ /* Place at the end of data. */
+ pos = heap->nr;
+ memcpy(data + (pos * func->elem_size), element, func->elem_size);
+ heap->nr++;
+
+ /* Sift child at pos up. */
+ for (; pos > 0; pos = (pos - 1) / 2) {
+ child = data + (pos * func->elem_size);
+ parent = data + ((pos - 1) / 2) * func->elem_size;
+ if (func->less(parent, child))
+ break;
+ func->swp(parent, child);
+ }
+}
+
+#endif /* _LINUX_MIN_HEAP_H */