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161 lines
5.8 KiB
161 lines
5.8 KiB
8 years ago
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/**
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* A thread-safe tree which caches inverted matrices.
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*
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* Copyright 2016, Peter Collins
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*/
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package reedsolomon
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import (
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"errors"
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"sync"
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)
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// The tree uses a Reader-Writer mutex to make it thread-safe
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// when accessing cached matrices and inserting new ones.
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type inversionTree struct {
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mutex *sync.RWMutex
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root inversionNode
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}
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type inversionNode struct {
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matrix matrix
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children []*inversionNode
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}
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// newInversionTree initializes a tree for storing inverted matrices.
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// Note that the root node is the identity matrix as it implies
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// there were no errors with the original data.
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func newInversionTree(dataShards, parityShards int) inversionTree {
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identity, _ := identityMatrix(dataShards)
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root := inversionNode{
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matrix: identity,
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children: make([]*inversionNode, dataShards+parityShards),
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}
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return inversionTree{
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mutex: &sync.RWMutex{},
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root: root,
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}
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}
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// GetInvertedMatrix returns the cached inverted matrix or nil if it
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// is not found in the tree keyed on the indices of invalid rows.
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func (t inversionTree) GetInvertedMatrix(invalidIndices []int) matrix {
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// Lock the tree for reading before accessing the tree.
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t.mutex.RLock()
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defer t.mutex.RUnlock()
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// If no invalid indices were give we should return the root
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// identity matrix.
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if len(invalidIndices) == 0 {
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return t.root.matrix
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}
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// Recursively search for the inverted matrix in the tree, passing in
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// 0 as the parent index as we start at the root of the tree.
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return t.root.getInvertedMatrix(invalidIndices, 0)
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}
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// errAlreadySet is returned if the root node matrix is overwritten
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var errAlreadySet = errors.New("the root node identity matrix is already set")
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// InsertInvertedMatrix inserts a new inverted matrix into the tree
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// keyed by the indices of invalid rows. The total number of shards
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// is required for creating the proper length lists of child nodes for
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// each node.
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func (t inversionTree) InsertInvertedMatrix(invalidIndices []int, matrix matrix, shards int) error {
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// If no invalid indices were given then we are done because the
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// root node is already set with the identity matrix.
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if len(invalidIndices) == 0 {
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return errAlreadySet
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}
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if !matrix.IsSquare() {
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return errNotSquare
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}
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// Lock the tree for writing and reading before accessing the tree.
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t.mutex.Lock()
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defer t.mutex.Unlock()
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// Recursively create nodes for the inverted matrix in the tree until
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// we reach the node to insert the matrix to. We start by passing in
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// 0 as the parent index as we start at the root of the tree.
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t.root.insertInvertedMatrix(invalidIndices, matrix, shards, 0)
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return nil
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}
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func (n inversionNode) getInvertedMatrix(invalidIndices []int, parent int) matrix {
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// Get the child node to search next from the list of children. The
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// list of children starts relative to the parent index passed in
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// because the indices of invalid rows is sorted (by default). As we
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// search recursively, the first invalid index gets popped off the list,
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// so when searching through the list of children, use that first invalid
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// index to find the child node.
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firstIndex := invalidIndices[0]
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node := n.children[firstIndex-parent]
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// If the child node doesn't exist in the list yet, fail fast by
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// returning, so we can construct and insert the proper inverted matrix.
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if node == nil {
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return nil
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}
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// If there's more than one invalid index left in the list we should
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// keep searching recursively.
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if len(invalidIndices) > 1 {
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// Search recursively on the child node by passing in the invalid indices
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// with the first index popped off the front. Also the parent index to
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// pass down is the first index plus one.
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return node.getInvertedMatrix(invalidIndices[1:], firstIndex+1)
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}
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// If there aren't any more invalid indices to search, we've found our
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// node. Return it, however keep in mind that the matrix could still be
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// nil because intermediary nodes in the tree are created sometimes with
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// their inversion matrices uninitialized.
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return node.matrix
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}
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func (n inversionNode) insertInvertedMatrix(invalidIndices []int, matrix matrix, shards, parent int) {
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// As above, get the child node to search next from the list of children.
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// The list of children starts relative to the parent index passed in
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// because the indices of invalid rows is sorted (by default). As we
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// search recursively, the first invalid index gets popped off the list,
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// so when searching through the list of children, use that first invalid
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// index to find the child node.
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firstIndex := invalidIndices[0]
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node := n.children[firstIndex-parent]
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// If the child node doesn't exist in the list yet, create a new
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// node because we have the writer lock and add it to the list
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// of children.
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if node == nil {
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// Make the length of the list of children equal to the number
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// of shards minus the first invalid index because the list of
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// invalid indices is sorted, so only this length of errors
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// are possible in the tree.
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node = &inversionNode{
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children: make([]*inversionNode, shards-firstIndex),
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}
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// Insert the new node into the tree at the first index relative
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// to the parent index that was given in this recursive call.
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n.children[firstIndex-parent] = node
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}
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// If there's more than one invalid index left in the list we should
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// keep searching recursively in order to find the node to add our
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// matrix.
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if len(invalidIndices) > 1 {
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// As above, search recursively on the child node by passing in
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// the invalid indices with the first index popped off the front.
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// Also the total number of shards and parent index are passed down
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// which is equal to the first index plus one.
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node.insertInvertedMatrix(invalidIndices[1:], matrix, shards, firstIndex+1)
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} else {
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// If there aren't any more invalid indices to search, we've found our
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// node. Cache the inverted matrix in this node.
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node.matrix = matrix
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}
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}
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