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https://github.com/UpsilonNumworks/Upsilon.git
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200 lines
7.8 KiB
C++
200 lines
7.8 KiB
C++
#include "cartesian_function.h"
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#include "expression_model_store.h"
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#include "poincare_helpers.h"
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#include <poincare/derivative.h>
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#include <poincare/serialization_helper.h>
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#include <escher/palette.h>
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#include <ion/unicode/utf8_decoder.h>
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#include <float.h>
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#include <cmath>
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using namespace Poincare;
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namespace Shared {
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void CartesianFunction::DefaultName(char buffer[], size_t bufferSize) {
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constexpr int k_maxNumberOfDefaultLetterNames = 4;
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static constexpr const char k_defaultLetterNames[k_maxNumberOfDefaultLetterNames] = {
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'f', 'g', 'h', 'p'
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};
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/* First default names are f, g, h, p and then f0, f1... ie, "f[number]",
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* for instance "f12", that does not exist yet in the storage. */
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size_t constantNameLength = 1; // 'f', no null-terminating char
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assert(bufferSize > constantNameLength+1);
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// Find the next available name
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int currentNumber = -k_maxNumberOfDefaultLetterNames;
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int currentNumberLength = 0;
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int availableBufferSize = bufferSize - constantNameLength;
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while (currentNumberLength < availableBufferSize) {
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// Choose letter
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buffer[0] = currentNumber < 0 ? k_defaultLetterNames[k_maxNumberOfDefaultLetterNames+currentNumber] : k_defaultLetterNames[0];
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// Choose number if required
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if (currentNumber >= 0) {
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currentNumberLength = Poincare::Integer(currentNumber).serialize(&buffer[1], availableBufferSize);
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} else {
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buffer[1] = 0;
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}
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if (GlobalContext::SymbolAbstractNameIsFree(buffer)) {
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// Name found
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break;
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}
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currentNumber++;
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}
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assert(currentNumberLength >= 0 && currentNumberLength < availableBufferSize);
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}
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CartesianFunction CartesianFunction::NewModel(Ion::Storage::Record::ErrorStatus * error, const char * baseName) {
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static int s_colorIndex = 0;
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// Create the record
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char nameBuffer[SymbolAbstract::k_maxNameSize];
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int numberOfColors = sizeof(Palette::DataColor)/sizeof(KDColor);
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CartesianFunctionRecordDataBuffer data(Palette::DataColor[s_colorIndex++ % numberOfColors]);
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if (baseName == nullptr) {
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DefaultName(nameBuffer, SymbolAbstract::k_maxNameSize);
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baseName = nameBuffer;
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}
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*error = Ion::Storage::sharedStorage()->createRecordWithExtension(baseName, Ion::Storage::funcExtension, &data, sizeof(data));
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// Return if error
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if (*error != Ion::Storage::Record::ErrorStatus::None) {
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return CartesianFunction();
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}
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// Return the CartesianFunction withthe new record
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return CartesianFunction(Ion::Storage::sharedStorage()->recordBaseNamedWithExtension(baseName, Ion::Storage::funcExtension));
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}
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int CartesianFunction::derivativeNameWithArgument(char * buffer, size_t bufferSize) {
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// Fill buffer with f(x). Keep size for derivative sign.
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int derivativeSize = UTF8Decoder::CharSizeOfCodePoint('\'');
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int numberOfChars = nameWithArgument(buffer, bufferSize - derivativeSize);
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assert(numberOfChars + derivativeSize < (int)bufferSize);
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char * firstParenthesis = const_cast<char *>(UTF8Helper::CodePointSearch(buffer, '('));
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if (!UTF8Helper::CodePointIs(firstParenthesis, '(')) {
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return numberOfChars;
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}
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memmove(firstParenthesis + derivativeSize, firstParenthesis, numberOfChars - (firstParenthesis - buffer) + 1);
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UTF8Decoder::CodePointToChars('\'', firstParenthesis, derivativeSize);
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return numberOfChars + derivativeSize;
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}
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Poincare::Expression CartesianFunction::expressionReduced(Poincare::Context * context) const {
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Poincare::Expression result = ExpressionModelHandle::expressionReduced(context);
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if (plotType() == PlotType::Parametric && (
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result.type() != Poincare::ExpressionNode::Type::Matrix ||
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static_cast<Poincare::Matrix&>(result).numberOfRows() != 2 ||
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static_cast<Poincare::Matrix&>(result).numberOfColumns() != 1)
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) {
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return Poincare::Expression::Parse("[[undef][undef]]");
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}
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return result;
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}
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CodePoint CartesianFunction::symbol() const {
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switch (plotType()) {
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case PlotType::Cartesian:
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return 'x';
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case PlotType::Polar:
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return UCodePointGreekSmallLetterTheta;
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default:
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assert(plotType() == PlotType::Parametric);
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return 't';
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}
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}
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CartesianFunction::PlotType CartesianFunction::plotType() const {
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return recordData()->plotType();
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}
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void CartesianFunction::setPlotType(PlotType plotType) {
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/* Reset memoized layout. */
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m_model.tidy();
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return recordData()->setPlotType(plotType);
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}
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template <typename T>
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Poincare::Coordinate2D<T> CartesianFunction::privateEvaluateXYAtParameter(T t, Poincare::Context * context) const {
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Coordinate2D<T> x1x2 = templatedApproximateAtParameter(t, context);
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PlotType type = plotType();
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if (type == PlotType::Cartesian || type == PlotType::Parametric) {
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return x1x2;
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}
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assert(type == PlotType::Polar);
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T factor = (T)1.0;
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// TODO LEA RUBEN
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return Coordinate2D<T>(x1x2.x2() * std::cos(x1x2.x1()*factor), x1x2.x2() * std::sin(x1x2.x1()*factor));
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}
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bool CartesianFunction::displayDerivative() const {
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return recordData()->displayDerivative();
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}
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void CartesianFunction::setDisplayDerivative(bool display) {
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return recordData()->setDisplayDerivative(display);
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}
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double CartesianFunction::approximateDerivative(double x, Poincare::Context * context) const {
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Poincare::Derivative derivative = Poincare::Derivative::Builder(expressionReduced(context).clone(), Symbol::Builder(UCodePointUnknownX), Poincare::Float<double>::Builder(x)); // derivative takes ownership of Poincare::Float<double>::Builder(x) and the clone of expression
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/* TODO: when we approximate derivative, we might want to simplify the
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* derivative here. However, we might want to do it once for all x (to avoid
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* lagging in the derivative table. */
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return PoincareHelpers::ApproximateToScalar<double>(derivative, context);
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}
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double CartesianFunction::tMin() const {
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return recordData()->tMin();
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}
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double CartesianFunction::tMax() const {
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return recordData()->tMax();
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}
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void CartesianFunction::setTMin(double tMin) {
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recordData()->setTMin(tMin);
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}
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void CartesianFunction::setTMax(double tMax) {
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recordData()->setTMax(tMax);
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}
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void * CartesianFunction::Model::expressionAddress(const Ion::Storage::Record * record) const {
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return (char *)record->value().buffer+sizeof(CartesianFunctionRecordDataBuffer);
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}
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size_t CartesianFunction::Model::expressionSize(const Ion::Storage::Record * record) const {
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return record->value().size-sizeof(CartesianFunctionRecordDataBuffer);
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}
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CartesianFunction::CartesianFunctionRecordDataBuffer * CartesianFunction::recordData() const {
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assert(!isNull());
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Ion::Storage::Record::Data d = value();
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return reinterpret_cast<CartesianFunctionRecordDataBuffer *>(const_cast<void *>(d.buffer));
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}
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template<typename T>
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Coordinate2D<T> CartesianFunction::templatedApproximateAtParameter(T t, Poincare::Context * context) const {
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if (isCircularlyDefined(context)) {
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return Coordinate2D<T>(NAN, NAN);
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}
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constexpr int bufferSize = CodePoint::MaxCodePointCharLength + 1;
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char unknown[bufferSize];
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Poincare::SerializationHelper::CodePoint(unknown, bufferSize, symbol());
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PlotType type = plotType();
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if (type == PlotType::Cartesian || type == PlotType::Polar) {
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return Coordinate2D<T>(t, PoincareHelpers::ApproximateWithValueForSymbol(expressionReduced(context), unknown, t, context));
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}
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assert(type == PlotType::Parametric);
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Expression e = expressionReduced(context);
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assert(e.type() == ExpressionNode::Type::Matrix);
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assert(static_cast<Poincare::Matrix&>(e).numberOfRows() == 2);
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assert(static_cast<Poincare::Matrix&>(e).numberOfColumns() == 1);
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return Coordinate2D<T>(
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PoincareHelpers::ApproximateWithValueForSymbol(e.childAtIndex(0), unknown, t, context),
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PoincareHelpers::ApproximateWithValueForSymbol(e.childAtIndex(1), unknown, t, context));
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}
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template Coordinate2D<float> CartesianFunction::templatedApproximateAtParameter<float>(float, Poincare::Context *) const;
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template Coordinate2D<double> CartesianFunction::templatedApproximateAtParameter<double>(double, Poincare::Context *) const;
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}
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