GenericTimeStampedCache.java
/* Copyright 2002-2024 CS GROUP
* Licensed to CS GROUP (CS) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* CS licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.orekit.utils;
import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.atomic.AtomicInteger;
import java.util.concurrent.atomic.AtomicLong;
import java.util.concurrent.atomic.AtomicReference;
import java.util.concurrent.locks.ReadWriteLock;
import java.util.concurrent.locks.ReentrantReadWriteLock;
import java.util.stream.Stream;
import org.hipparchus.exception.LocalizedCoreFormats;
import org.hipparchus.util.FastMath;
import org.orekit.errors.OrekitException;
import org.orekit.errors.OrekitIllegalArgumentException;
import org.orekit.errors.OrekitIllegalStateException;
import org.orekit.errors.OrekitMessages;
import org.orekit.errors.TimeStampedCacheException;
import org.orekit.time.AbsoluteDate;
import org.orekit.time.TimeStamped;
/** Generic thread-safe cache for {@link TimeStamped time-stamped} data.
* @param <T> Type of the cached data.
* @author Luc Maisonobe
*/
public class GenericTimeStampedCache<T extends TimeStamped> implements TimeStampedCache<T> {
/** Default number of independent cached time slots. */
public static final int DEFAULT_CACHED_SLOTS_NUMBER = 10;
/** Quantum step. */
private static final double QUANTUM_STEP = 1.0e-6;
/** Reference date for indexing. */
private final AtomicReference<AbsoluteDate> reference;
/** Maximum number of independent cached time slots. */
private final int maxSlots;
/** Maximum duration span in seconds of one slot. */
private final double maxSpan;
/** Quantum gap above which a new slot is created instead of extending an existing one. */
private final long newSlotQuantumGap;
/** Generator to use for yet non-cached data. */
private final TimeStampedGenerator<T> generator;
/** Overriding mean step. */
private final double overridingMeanStep;
/** Maximum number of entries in a neighbors array. */
private final int maxNeighborsSize;
/** Independent time slots cached. */
private final List<Slot> slots;
/** Number of calls to the getNeighbors method. */
private final AtomicInteger getNeighborsCalls;
/** Number of calls to the generate method. */
private final AtomicInteger generateCalls;
/** Number of evictions. */
private final AtomicInteger evictions;
/** Global lock. */
private final ReadWriteLock lock;
/** Simple constructor.
* @param maxNeighborsSize maximum size of the arrays to be returned by {@link
* #getNeighbors(AbsoluteDate, int)}, must be at least 2
* @param maxSlots maximum number of independent cached time slots
* @param maxSpan maximum duration span in seconds of one slot
* (can be set to {@code Double.POSITIVE_INFINITY} if desired)
* @param newSlotInterval time interval above which a new slot is created
* instead of extending an existing one
* @param generator generator to use for yet non-existent data
*/
public GenericTimeStampedCache(final int maxNeighborsSize, final int maxSlots, final double maxSpan,
final double newSlotInterval, final TimeStampedGenerator<T> generator) {
this(maxNeighborsSize, maxSlots, maxSpan, newSlotInterval, generator, Double.NaN);
}
/** Simple constructor with overriding minimum step.
* @param maxNeighborsSize maximum size of the arrays to be returned by {@link
* #getNeighbors(AbsoluteDate, int)}, must be at least 2
* @param maxSlots maximum number of independent cached time slots
* @param maxSpan maximum duration span in seconds of one slot
* (can be set to {@code Double.POSITIVE_INFINITY} if desired)
* @param newSlotInterval time interval above which a new slot is created
* instead of extending an existing one
* @param generator generator to use for yet non-existent data
* @param overridingMeanStep overriding mean step designed for non-homogeneous tabulated values. To be used for example
* when caching monthly tabulated values. Use {@code Double.NaN} otherwise.
* @throws OrekitIllegalArgumentException if :
* <ul>
* <li>neighbors size < 2 </li>
* <li>maximum allowed number of slots < 1</li>
* <li>minimum step ≤ 0 </li>
* </ul>
*/
public GenericTimeStampedCache(final int maxNeighborsSize, final int maxSlots, final double maxSpan,
final double newSlotInterval, final TimeStampedGenerator<T> generator,
final double overridingMeanStep) {
// safety check
if (maxSlots < 1) {
throw new OrekitIllegalArgumentException(LocalizedCoreFormats.NUMBER_TOO_SMALL, maxSlots, 1);
}
if (overridingMeanStep <= 0) {
throw new OrekitIllegalArgumentException(LocalizedCoreFormats.NUMBER_TOO_SMALL_BOUND_EXCLUDED,
overridingMeanStep, 0);
}
if (maxNeighborsSize < 2) {
throw new OrekitIllegalArgumentException(OrekitMessages.NOT_ENOUGH_CACHED_NEIGHBORS, maxNeighborsSize, 2);
}
this.reference = new AtomicReference<>();
this.maxSlots = maxSlots;
this.maxSpan = maxSpan;
this.newSlotQuantumGap = FastMath.round(newSlotInterval / QUANTUM_STEP);
this.generator = generator;
this.overridingMeanStep = overridingMeanStep;
this.maxNeighborsSize = maxNeighborsSize;
this.slots = new ArrayList<>(maxSlots);
this.getNeighborsCalls = new AtomicInteger(0);
this.generateCalls = new AtomicInteger(0);
this.evictions = new AtomicInteger(0);
this.lock = new ReentrantReadWriteLock();
}
/** Get the generator.
* @return generator
*/
public TimeStampedGenerator<T> getGenerator() {
return generator;
}
/** Get the maximum number of independent cached time slots.
* @return maximum number of independent cached time slots
*/
public int getMaxSlots() {
return maxSlots;
}
/** Get the maximum duration span in seconds of one slot.
* @return maximum duration span in seconds of one slot
*/
public double getMaxSpan() {
return maxSpan;
}
/** Get quantum gap above which a new slot is created instead of extending an existing one.
* <p>
* The quantum gap is the {@code newSlotInterval} value provided at construction
* rounded to the nearest quantum step used internally by the cache.
* </p>
* @return quantum gap in seconds
*/
public double getNewSlotQuantumGap() {
return newSlotQuantumGap * QUANTUM_STEP;
}
/** Get the number of calls to the {@link #getNeighbors(AbsoluteDate)} method.
* <p>
* This number of calls is used as a reference to interpret {@link #getGenerateCalls()}.
* </p>
* @return number of calls to the {@link #getNeighbors(AbsoluteDate)} method
* @see #getGenerateCalls()
*/
public int getGetNeighborsCalls() {
return getNeighborsCalls.get();
}
/** Get the number of calls to the generate method.
* <p>
* This number of calls is related to the number of cache misses and may
* be used to tune the cache configuration. Each cache miss implies at
* least one call is performed, but may require several calls if the new
* date is far offset from the existing cache, depending on the number of
* elements and step between elements in the arrays returned by the generator.
* </p>
* @return number of calls to the generate method
* @see #getGetNeighborsCalls()
*/
public int getGenerateCalls() {
return generateCalls.get();
}
/** Get the number of slots evictions.
* <p>
* This number should remain small when the max number of slots is sufficient
* with respect to the number of concurrent requests to the cache. If it
* increases too much, then the cache configuration is probably bad and cache
* does not really improve things (in this case, the {@link #getGenerateCalls()
* number of calls to the generate method} will probably increase too.
* </p>
* @return number of slots evictions
*/
public int getSlotsEvictions() {
return evictions.get();
}
/** Get the number of slots in use.
* @return number of slots in use
*/
public int getSlots() {
lock.readLock().lock();
try {
return slots.size();
} finally {
lock.readLock().unlock();
}
}
/** Get the total number of entries cached.
* @return total number of entries cached
*/
public int getEntries() {
lock.readLock().lock();
try {
int entries = 0;
for (final Slot slot : slots) {
entries += slot.getEntries();
}
return entries;
} finally {
lock.readLock().unlock();
}
}
/** {@inheritDoc} */
@Override
public T getEarliest() throws IllegalStateException {
lock.readLock().lock();
try {
if (slots.isEmpty()) {
throw new OrekitIllegalStateException(OrekitMessages.NO_CACHED_ENTRIES);
}
return slots.get(0).getEarliest();
} finally {
lock.readLock().unlock();
}
}
/** {@inheritDoc} */
@Override
public T getLatest() throws IllegalStateException {
lock.readLock().lock();
try {
if (slots.isEmpty()) {
throw new OrekitIllegalStateException(OrekitMessages.NO_CACHED_ENTRIES);
}
return slots.get(slots.size() - 1).getLatest();
} finally {
lock.readLock().unlock();
}
}
/** {@inheritDoc} */
@Override
public int getMaxNeighborsSize() {
return maxNeighborsSize;
}
/** {@inheritDoc} */
@Override
public Stream<T> getNeighbors(final AbsoluteDate central, final int n) {
if (n > maxNeighborsSize) {
throw new OrekitException(OrekitMessages.NOT_ENOUGH_DATA, maxNeighborsSize);
}
lock.readLock().lock();
try {
getNeighborsCalls.incrementAndGet();
final long dateQuantum = quantum(central);
return selectSlot(central, dateQuantum).getNeighbors(central, dateQuantum, n);
} finally {
lock.readLock().unlock();
}
}
/** Convert a date to a rough global quantum.
* <p>
* We own a global read lock while calling this method.
* </p>
* @param date date to convert
* @return quantum corresponding to the date
*/
private long quantum(final AbsoluteDate date) {
reference.compareAndSet(null, date);
return FastMath.round(date.durationFrom(reference.get()) / QUANTUM_STEP);
}
/** Select a slot containing a date.
* <p>
* We own a global read lock while calling this method.
* </p>
* @param date target date
* @param dateQuantum global quantum of the date
* @return slot covering the date
*/
private Slot selectSlot(final AbsoluteDate date, final long dateQuantum) {
Slot selected = null;
int index = slots.isEmpty() ? 0 : slotIndex(dateQuantum);
if (slots.isEmpty() ||
slots.get(index).getEarliestQuantum() > dateQuantum + newSlotQuantumGap ||
slots.get(index).getLatestQuantum() < dateQuantum - newSlotQuantumGap) {
// no existing slot is suitable
// upgrade the read lock to a write lock so we can change the list of available slots
lock.readLock().unlock();
lock.writeLock().lock();
try {
// check slots again as another thread may have changed
// the list while we were waiting for the write lock
index = slots.isEmpty() ? 0 : slotIndex(dateQuantum);
if (slots.isEmpty() ||
slots.get(index).getEarliestQuantum() > dateQuantum + newSlotQuantumGap ||
slots.get(index).getLatestQuantum() < dateQuantum - newSlotQuantumGap) {
// we really need to create a new slot in the current thread
// (no other threads have created it while we were waiting for the lock)
if (!slots.isEmpty() &&
slots.get(index).getLatestQuantum() < dateQuantum - newSlotQuantumGap) {
++index;
}
if (slots.size() >= maxSlots) {
// we must prevent exceeding allowed max
// select the oldest accessed slot for eviction
int evict = 0;
for (int i = 0; i < slots.size(); ++i) {
if (slots.get(i).getLastAccess() < slots.get(evict).getLastAccess()) {
evict = i;
}
}
// evict the selected slot
evictions.incrementAndGet();
slots.remove(evict);
if (evict < index) {
// adjust index of created slot as it was shifted by the eviction
index--;
}
}
slots.add(index, new Slot(date));
}
} finally {
// downgrade back to a read lock
lock.readLock().lock();
lock.writeLock().unlock();
}
}
selected = slots.get(index);
return selected;
}
/** Get the index of the slot in which a date could be cached.
* <p>
* We own a global read lock while calling this method.
* </p>
* @param dateQuantum quantum of the date to search for
* @return the slot in which the date could be cached
*/
private int slotIndex(final long dateQuantum) {
int iInf = 0;
final long qInf = slots.get(iInf).getEarliestQuantum();
int iSup = slots.size() - 1;
final long qSup = slots.get(iSup).getLatestQuantum();
while (iSup - iInf > 0) {
final int iInterp = (int) ((iInf * (qSup - dateQuantum) + iSup * (dateQuantum - qInf)) / (qSup - qInf));
final int iMed = FastMath.max(iInf, FastMath.min(iInterp, iSup));
final Slot slot = slots.get(iMed);
if (dateQuantum < slot.getEarliestQuantum()) {
iSup = iMed - 1;
} else if (dateQuantum > slot.getLatestQuantum()) {
iInf = FastMath.min(iSup, iMed + 1);
} else {
return iMed;
}
}
return iInf;
}
/** Time slot. */
private final class Slot {
/** Cached time-stamped entries. */
private final List<Entry> cache;
/** Earliest quantum. */
private AtomicLong earliestQuantum;
/** Latest quantum. */
private AtomicLong latestQuantum;
/** Index from a previous recent call. */
private AtomicInteger guessedIndex;
/** Last access time. */
private AtomicLong lastAccess;
/** Simple constructor.
* @param date central date for initial entries to insert in the slot
*/
Slot(final AbsoluteDate date) {
// allocate cache
this.cache = new ArrayList<>();
// set up first entries
AbsoluteDate generationDate = date;
generateCalls.incrementAndGet();
for (final T entry : generateAndCheck(null, generationDate)) {
cache.add(new Entry(entry, quantum(entry.getDate())));
}
earliestQuantum = new AtomicLong(cache.get(0).getQuantum());
latestQuantum = new AtomicLong(cache.get(cache.size() - 1).getQuantum());
while (cache.size() < maxNeighborsSize) {
// we need to generate more entries
final AbsoluteDate entry0 = cache.get(0).getData().getDate();
final AbsoluteDate entryN = cache.get(cache.size() - 1).getData().getDate();
generateCalls.incrementAndGet();
final AbsoluteDate existingDate;
if (entryN.getDate().durationFrom(date) <= date.durationFrom(entry0.getDate())) {
// generate additional point at the end of the slot
existingDate = entryN;
generationDate = entryN.getDate().shiftedBy(getMeanStep() * (maxNeighborsSize - cache.size()));
appendAtEnd(generateAndCheck(existingDate, generationDate), date);
} else {
// generate additional point at the start of the slot
existingDate = entry0;
generationDate = entry0.getDate().shiftedBy(-getMeanStep() * (maxNeighborsSize - cache.size()));
insertAtStart(generateAndCheck(existingDate, generationDate), date);
}
}
guessedIndex = new AtomicInteger(cache.size() / 2);
lastAccess = new AtomicLong(System.currentTimeMillis());
}
/** Get the earliest entry contained in the slot.
* @return earliest entry contained in the slot
*/
public T getEarliest() {
return cache.get(0).getData();
}
/** Get the quantum of the earliest date contained in the slot.
* @return quantum of the earliest date contained in the slot
*/
public long getEarliestQuantum() {
return earliestQuantum.get();
}
/** Get the latest entry contained in the slot.
* @return latest entry contained in the slot
*/
public T getLatest() {
return cache.get(cache.size() - 1).getData();
}
/** Get the quantum of the latest date contained in the slot.
* @return quantum of the latest date contained in the slot
*/
public long getLatestQuantum() {
return latestQuantum.get();
}
/** Get the number of entries contained in the slot.
* @return number of entries contained in the slot
*/
public int getEntries() {
return cache.size();
}
/** Get the mean step between entries.
* <p>
* If an overriding mean step has been defined at construction, then it will be returned instead.
* @return mean step between entries (or an arbitrary non-null value
* if there are fewer than 2 entries)
*/
private double getMeanStep() {
if (cache.size() < 2) {
return 1.0;
} else {
if (!Double.isNaN(overridingMeanStep)) {
return overridingMeanStep;
} else {
final AbsoluteDate t0 = cache.get(0).getData().getDate();
final AbsoluteDate tn = cache.get(cache.size() - 1).getData().getDate();
return tn.durationFrom(t0) / (cache.size() - 1);
}
}
}
/** Get last access time of slot.
* @return last known access time
*/
public long getLastAccess() {
return lastAccess.get();
}
/** Get the entries surrounding a central date.
* <p>
* If the central date is well within covered slot, the returned array
* will be balanced with half the points before central date and half the
* points after it (depending on n parity, of course). If the central date
* is near slot boundary and the underlying {@link TimeStampedGenerator
* generator} cannot extend it (i.e. it returns null), then the returned
* array will be unbalanced and will contain only the n earliest (or latest)
* cached entries. A typical example of the later case is leap seconds cache,
* since the number of leap seconds cannot be arbitrarily increased.
* </p>
* @param central central date
* @param dateQuantum global quantum of the date
* @param n number of neighbors
* @return a new array containing date neighbors
*/
public Stream<T> getNeighbors(final AbsoluteDate central, final long dateQuantum, final int n) {
int index = entryIndex(central, dateQuantum);
int firstNeighbor = index - (n - 1) / 2;
if (firstNeighbor < 0 || firstNeighbor + n > cache.size()) {
// the cache is not balanced around the desired date, we can try to generate new data
// upgrade the read lock to a write lock so we can change the list of available slots
lock.readLock().unlock();
lock.writeLock().lock();
try {
// check entries again as another thread may have changed
// the list while we were waiting for the write lock
boolean loop = true;
while (loop) {
index = entryIndex(central, dateQuantum);
firstNeighbor = index - (n - 1) / 2;
if (firstNeighbor < 0 || firstNeighbor + n > cache.size()) {
// estimate which data we need to be generated
final double step = getMeanStep();
final AbsoluteDate existingDate;
final AbsoluteDate generationDate;
final boolean simplyRebalance;
if (firstNeighbor < 0) {
existingDate = cache.get(0).getData().getDate();
generationDate = existingDate.getDate().shiftedBy(step * firstNeighbor);
simplyRebalance = existingDate.getDate().compareTo(central) <= 0;
} else {
existingDate = cache.get(cache.size() - 1).getData().getDate();
generationDate = existingDate.getDate().shiftedBy(step * (firstNeighbor + n - cache.size()));
simplyRebalance = existingDate.getDate().compareTo(central) >= 0;
}
generateCalls.incrementAndGet();
// generated data and add it to the slot
try {
if (firstNeighbor < 0) {
insertAtStart(generateAndCheck(existingDate, generationDate), central);
} else {
appendAtEnd(generateAndCheck(existingDate, generationDate), central);
}
} catch (TimeStampedCacheException tce) {
if (simplyRebalance) {
// we were simply trying to rebalance an unbalanced interval near slot end
// we failed, but the central date is already covered by the existing (unbalanced) data
// so we ignore the exception and stop the loop, we will continue with what we have
loop = false;
} else {
throw tce;
}
}
} else {
loop = false;
}
}
} finally {
// downgrade back to a read lock
lock.readLock().lock();
lock.writeLock().unlock();
}
}
if (firstNeighbor + n > cache.size()) {
// we end up with a non-balanced neighborhood,
// adjust the start point to fit within the cache
firstNeighbor = cache.size() - n;
}
if (firstNeighbor < 0) {
firstNeighbor = 0;
}
final Stream.Builder<T> builder = Stream.builder();
for (int i = 0; i < n; ++i) {
builder.accept(cache.get(firstNeighbor + i).getData());
}
return builder.build();
}
/** Get the index of the entry corresponding to a date.
* <p>
* We own a local read lock while calling this method.
* </p>
* @param date date
* @param dateQuantum global quantum of the date
* @return index in the array such that entry[index] is before
* date and entry[index + 1] is after date (or they are at array boundaries)
*/
private int entryIndex(final AbsoluteDate date, final long dateQuantum) {
// first quick guesses, assuming a recent search was close enough
final int guess = guessedIndex.get();
if (guess > 0 && guess < cache.size()) {
if (cache.get(guess).getQuantum() <= dateQuantum) {
if (guess + 1 < cache.size() && cache.get(guess + 1).getQuantum() > dateQuantum) {
// good guess!
return guess;
} else {
// perhaps we have simply shifted just one point forward ?
if (guess + 2 < cache.size() && cache.get(guess + 2).getQuantum() > dateQuantum) {
guessedIndex.set(guess + 1);
return guess + 1;
}
}
} else {
// perhaps we have simply shifted just one point backward ?
if (guess > 1 && cache.get(guess - 1).getQuantum() <= dateQuantum) {
guessedIndex.set(guess - 1);
return guess - 1;
}
}
}
// quick guesses have failed, we need to perform a full blown search
if (dateQuantum < getEarliestQuantum()) {
// date if before the first entry
return -1;
} else if (dateQuantum > getLatestQuantum()) {
// date is after the last entry
return cache.size();
} else {
// try to get an existing entry
int iInf = 0;
final long qInf = cache.get(iInf).getQuantum();
int iSup = cache.size() - 1;
final long qSup = cache.get(iSup).getQuantum();
while (iSup - iInf > 0) {
// within a continuous slot, entries are expected to be roughly linear
final int iInterp = (int) ((iInf * (qSup - dateQuantum) + iSup * (dateQuantum - qInf)) / (qSup - qInf));
final int iMed = FastMath.max(iInf + 1, FastMath.min(iInterp, iSup));
final Entry entry = cache.get(iMed);
if (dateQuantum < entry.getQuantum()) {
iSup = iMed - 1;
} else if (dateQuantum > entry.getQuantum()) {
iInf = iMed;
} else {
guessedIndex.set(iMed);
return iMed;
}
}
guessedIndex.set(iInf);
return iInf;
}
}
/** Insert data at slot start.
* @param data data to insert
* @param requestedDate use for the error message.
*/
private void insertAtStart(final List<T> data, final AbsoluteDate requestedDate) {
// insert data at start
boolean inserted = false;
final long q0 = earliestQuantum.get();
for (int i = 0; i < data.size(); ++i) {
final long quantum = quantum(data.get(i).getDate());
if (quantum < q0) {
cache.add(i, new Entry(data.get(i), quantum));
inserted = true;
} else {
break;
}
}
if (!inserted) {
final AbsoluteDate earliest = cache.get(0).getData().getDate();
throw new TimeStampedCacheException(
OrekitMessages.UNABLE_TO_GENERATE_NEW_DATA_BEFORE,
earliest, requestedDate, earliest.durationFrom(requestedDate));
}
// evict excess data at end
final AbsoluteDate t0 = cache.get(0).getData().getDate();
while (cache.size() > maxNeighborsSize &&
cache.get(cache.size() - 1).getData().getDate().durationFrom(t0) > maxSpan) {
cache.remove(cache.size() - 1);
}
// update boundaries
earliestQuantum.set(cache.get(0).getQuantum());
latestQuantum.set(cache.get(cache.size() - 1).getQuantum());
}
/** Append data at slot end.
* @param data data to append
* @param requestedDate use for error message.
*/
private void appendAtEnd(final List<T> data, final AbsoluteDate requestedDate) {
// append data at end
boolean appended = false;
final long qn = latestQuantum.get();
final int n = cache.size();
for (int i = data.size() - 1; i >= 0; --i) {
final long quantum = quantum(data.get(i).getDate());
if (quantum > qn) {
cache.add(n, new Entry(data.get(i), quantum));
appended = true;
} else {
break;
}
}
if (!appended) {
final AbsoluteDate latest = cache.get(cache.size() - 1).getData().getDate();
throw new TimeStampedCacheException(
OrekitMessages.UNABLE_TO_GENERATE_NEW_DATA_AFTER,
latest, requestedDate, requestedDate.durationFrom(latest));
}
// evict excess data at start
final AbsoluteDate tn = cache.get(cache.size() - 1).getData().getDate();
while (cache.size() > maxNeighborsSize &&
tn.durationFrom(cache.get(0).getData().getDate()) > maxSpan) {
cache.remove(0);
}
// update boundaries
earliestQuantum.set(cache.get(0).getQuantum());
latestQuantum.set(cache.get(cache.size() - 1).getQuantum());
}
/** Generate entries and check ordering.
* @param existingDate date of the closest already existing entry (may be null)
* @param date date that must be covered by the range of the generated array
* (guaranteed to lie between {@link #getEarliest()} and {@link #getLatest()})
* @return chronologically sorted list of generated entries
*/
private List<T> generateAndCheck(final AbsoluteDate existingDate, final AbsoluteDate date) {
final List<T> entries = generator.generate(existingDate, date);
if (entries.isEmpty()) {
throw new TimeStampedCacheException(OrekitMessages.NO_DATA_GENERATED, date);
}
for (int i = 1; i < entries.size(); ++i) {
final AbsoluteDate previous = entries.get(i - 1).getDate();
final AbsoluteDate current = entries.get(i).getDate();
if (current.compareTo(previous) < 0) {
throw new TimeStampedCacheException(OrekitMessages.NON_CHRONOLOGICALLY_SORTED_ENTRIES,
previous, current, previous.durationFrom(current));
}
}
return entries;
}
/** Container for entries. */
private class Entry {
/** Entry data. */
private final T data;
/** Global quantum of the entry. */
private final long quantum;
/** Simple constructor.
* @param data entry data
* @param quantum entry quantum
*/
Entry(final T data, final long quantum) {
this.quantum = quantum;
this.data = data;
}
/** Get the quantum.
* @return quantum
*/
public long getQuantum() {
return quantum;
}
/** Get the data.
* @return data
*/
public T getData() {
return data;
}
}
}
}