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  /external/chromium_org/third_party/harfbuzz-ng/src/
hb-graphite2.cc 293 ALLOCATE_ARRAY (hb_graphite2_cluster_t, clusters, buffer->len);
296 memset (clusters, 0, sizeof (clusters[0]) * buffer->len);
305 while (clusters[ci].base_char > before && ci)
307 clusters[ci-1].num_chars += clusters[ci].num_chars;
308 clusters[ci-1].num_glyphs += clusters[ci].num_glyphs;
312 if (gr_slot_can_insert_before (is) && clusters[ci].num_chars && before >= clusters[ci].base_char + clusters[ci].num_chars
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hb-icu-le.cc 139 ALLOCATE_ARRAY (unsigned int, clusters, buffer->len);
144 clusters[i] = buffer->info[i].cluster;
190 info[j].cluster = clusters[indices[i]];
  /external/harfbuzz_ng/src/
hb-graphite2.cc 293 ALLOCATE_ARRAY (hb_graphite2_cluster_t, clusters, buffer->len);
296 memset (clusters, 0, sizeof (clusters[0]) * buffer->len);
305 while (clusters[ci].base_char > before && ci)
307 clusters[ci-1].num_chars += clusters[ci].num_chars;
308 clusters[ci-1].num_glyphs += clusters[ci].num_glyphs;
312 if (gr_slot_can_insert_before (is) && clusters[ci].num_chars && before >= clusters[ci].base_char + clusters[ci].num_chars
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hb-icu-le.cc 139 ALLOCATE_ARRAY (unsigned int, clusters, buffer->len);
144 clusters[i] = buffer->info[i].cluster;
190 info[j].cluster = clusters[indices[i]];
  /packages/providers/ContactsProvider/src/com/android/providers/contacts/aggregation/util/
CommonNicknameCache.java 101 String[] clusters = null; local
108 clusters = ref.get();
112 if (clusters == null) {
113 clusters = loadNicknameClusters(normalizedName);
114 ref = clusters == null ? null : new SoftReference<String[]>(clusters);
119 return clusters;
133 String[] clusters = null; local
140 clusters = new String[count];
143 clusters[i] = cursor.getString(NicknameLookupQuery.CLUSTER)
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  /external/harfbuzz_ng/util/
helper-cairo.hh 55 cairo_text_cluster_t *clusters; member in struct:helper_cairo_line_t
62 if (clusters)
63 cairo_text_cluster_free (clusters);
helper-cairo.cc 415 l->clusters = cairo_text_cluster_allocate (l->num_clusters);
420 (l->num_clusters && !l->clusters))
443 memset ((void *) l->clusters, 0, l->num_clusters * sizeof (l->clusters[0]));
448 l->clusters[cluster].num_glyphs++;
457 l->clusters[cluster].num_bytes = end - start;
461 l->clusters[cluster].num_glyphs++;
463 l->clusters[cluster].num_bytes = l->utf8 + text_len - start;
472 l->clusters[cluster].num_bytes = end - start;
476 l->clusters[cluster].num_glyphs++
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  /frameworks/ml/bordeaux/service/src/android/bordeaux/services/
ClusterManager.java 31 * ClusterManager incrementally indentify representitve clusters from the input location
32 * stream. Clusters are updated online using leader based clustering algorithm. The input
33 * locations initially are kept by the clusters. Periodially, a cluster consolidating
45 // Consoliate location clusters (and check for new semantic clusters)
122 ", number of clusters: " + mLocationClusters.size());
140 // if it is far away from all existing clusters, create a new cluster.
181 // merge clusters whose regions are overlapped. note that after merge
194 Log.v(TAG, mLocationClusters.size() + " location clusters after consolidate");
197 // clusters are foun
330 ArrayList<String> clusters = new ArrayList<String>(); local
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  /external/chromium_org/ui/gfx/
color_analysis.h 56 // This uses a KMean clustering algorithm to find clusters of pixel colors in
64 // RGB KMean Algorithm (N clusters, M iterations):
67 // just remove the cluster and continue with N = N-1 clusters (for an image
69 // centers of your N clusters.
77 // a) If this is the case for all N clusters than we have converged and
81 // 5.Once the clusters have converged or M iterations have been tried, sort
82 // the clusters by weight (where weight is the number of pixels that make up
84 // 6.Going through the sorted list of clusters, pick the first cluster with the
color_analysis.cc 159 // image with 4 clusters would be sampled like this:
222 std::vector<KMeanCluster> clusters; local
223 clusters.resize(kNumberOfClusters, KMeanCluster());
226 std::vector<KMeanCluster>::iterator cluster = clusters.begin();
227 while (cluster != clusters.end()) {
244 // Loop through the previous clusters and check to see if we have seen
248 cluster_check = clusters.begin();
266 cluster = clusters.erase(cluster);
275 // If all pixels in the image are transparent we will have no clusters.
276 if (clusters.empty()
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  /external/libvpx/libvpx/nestegg/
TODO 12 - Optionally build a Cue index as Clusters are parsed.
14 - Avoid building a list of Clusters as they are parsed and retain only the
  /tools/external/fat32lib/src/main/java/de/waldheinz/fs/fat/
ClusterChain.java 28 * A chain of clusters as stored in a {@link Fat}.
41 * Creates a new {@code ClusterChain} that contains no clusters.
85 * not contain any clusters
118 * {@code ClusterChain} can only contain full clusters, the new size
130 throw new IOException("too many clusters");
138 * Determines the length of this {@code ClusterChain} in clusters.
150 * Sets the length of this cluster chain in clusters.
152 * @param nrClusters the new number of clusters this chain should contain,
Fat.java 127 new IOException("too many data clusters");
130 new IOException("no data clusters");
139 "clusters but only " + entries.length + " FAT entries");
274 * @throws IOException if there are no free clusters
312 * Returns the number of clusters that are currently not in use by this FAT.
313 * This estimate does only account for clusters that are really available in
314 * the data portion of the file system, not for clusters that might only
342 * Allocate a series of clusters for a new file.
344 * @param nrClusters when number of clusters to allocate
346 * @throws IOException if there are no free clusters
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Fat16BootSector.java 45 * The maximum number of clusters for a FAT12 file system. This is actually
46 * the number of clusters where mkdosfs stop complaining about a FAT16
169 "too many clusters for FAT12/16: " + clusterCount);
FsInfoSector.java 98 * Sets the number of free clusters on the file system stored at
111 * Returns the number of free clusters on the file system as sepcified by
114 * @return the number of free clusters
  /external/fsck_msdos/
dosfs.h 64 cl_t FSFree; /* Number of free clusters acc. FSInfo */
85 u_int NumFree; /* # of free clusters */
86 u_int NumBad; /* # of bad clusters */
92 u_int32_t length; /* number of clusters on chain */
98 #define CLUST_RSRVD 0xfffffff6 /* start of reserved clusters */
check.c 186 pwarn("%d files, %d free (%d clusters), %d bad (%d clusters)\n",
191 pwarn("%d files, %d free (%d clusters)\n",
  /external/ceres-solver/internal/ceres/
visibility_based_preconditioner.h 92 // clusters. Thus in analogy with the Jacobi preconditioner we refer
96 // preconditioner by considering the interaction between clusters and
98 // by constructing a weighted graph on the clusters, with the weight
99 // on the edges connecting two clusters proportional to the number of
100 // 3D points visible to cameras in both the clusters. A degree-2
174 // Mapping from cameras to clusters.
visibility_based_preconditioner.cc 132 // preconditioner. It clusters cameras using their scene
133 // visibility. The clusters form the diagonal blocks of the
148 // preconditioner. It clusters cameras using using the scene
150 // clusters by constructing another graph with the clusters as
160 // Construct a weighted graph on the set of clusters, where the
162 // clusters at the ends of the edge. Return an approximate degree-2
213 // are part of the same cluster or if the the two clusters that they
378 // blocks correspond to the clusters. Then cluster pairs corresponding
512 // Construct a graph whose vertices are the clusters, and the edg
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  /packages/providers/ContactsProvider/src/com/android/providers/contacts/
NameLookupBuilder.java 88 * clusters, e.g. Leo could be Leonard or Leopold.
133 // Phase I: insert all variants not involving nickname clusters
299 * For all tokens that correspond to nickname clusters, substitutes each cluster key
305 String[] clusters = mNicknameClusters[i]; local
306 if (clusters != null) {
308 for (int j = 0; j < clusters.length; j++) {
309 mNames[i] = clusters[j];
314 // Repeat recursively for other nickname clusters
  /external/chromium_org/chrome/tools/
history-viz.py 118 clusters = {}
121 clusters[cluster] = clusters.get(cluster, [])
122 clusters[cluster].append(obj)
123 return clusters
184 # Output all the nodes within graph clusters.
  /external/expat/lib/
internal.h 42 the compiler cannot perform stack optimizations for call clusters.
  /external/chromium_org/third_party/WebKit/Source/core/platform/text/
TextBreakIterator.h 175 // Iterates over "extended grapheme clusters", as defined in UAX #29.
177 // version 4.0 only supports "legacy grapheme clusters".
232 // Counts the number of grapheme clusters. A surrogate pair or a sequence
  /external/qemu/block/
qcow2-refcount.c 211 * Note that allocating clusters here needs some special care:
219 * and doing the initial refcount increase. This means that some clusters
222 * as long as we don't overwrite it by freeing clusters.
457 /* XXX: cache several refcount block clusters ? */
686 /* TODO Remember the clusters to free them later and avoid leaking */
693 * free clusters according to its type: compressed or not
805 /* compressed clusters are never modified */
883 * Increases the refcount for a range of clusters in a given refcount table.
927 * Increases the refcount in the given refcount table for the all clusters
954 /* Compressed clusters don't have QCOW_OFLAG_COPIED *
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qcow2-cluster.c 430 * on entry, *num is the number of contiguous clusters we'd like to
433 * on exit, *num is the number of contiguous clusters we can read.
500 /* how many empty clusters ? */
503 /* how many allocated clusters ? */
630 /* compressed clusters never have the copied flag */
741 * contiguous clusters that have been allocated. This may be 0 if the request
771 /* We keep all QCOW_OFLAG_COPIED clusters */
784 /* for the moment, multiple compressed clusters are not managed */
789 /* how many available clusters ? */

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