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Use ninja for the examples (#2635)
* Use ninja for the examples Should help a little bit with doc building * FIx some templates * Fix template deduction error in count_x_for_y_many functions The count_x_for_y_many and count_x_for_y_manyC functions were using a single template parameter for both input (double) and output (size_t) arrays, causing template deduction failures in Cython bindings. Changed to use separate template parameters YContainer and CountContainer to properly support different types for input y values and output counts. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Fix types in PXD header too * Docs should get ninja too * Changes from clang-format * Fix git diff argument order in clang-format script The script was comparing PR_BRANCH to TARGET_BRANCH, which shows changes from the PR branch to the target (what's in target that's NOT in PR). For PR validation, we need the opposite: changes from target to PR (what's in PR that's NOT in target). 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Fix Cython template deduction errors in solve_for_x_manyC and count_x_for_y_manyC Add explicit template parameters [double, size_t] to both function calls to resolve template type deduction errors when compiling with Cython. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> * Fix wheel building by removing return from void Cython template calls The functions solve_for_x_manyC and count_x_for_y_manyC return void in C++. When Cython sees a return statement with a void function call containing template arguments with commas (e.g., [double, size_t]), it wraps the call in the __Pyx_void_to_None macro. This macro is a simple preprocessor macro that cannot handle the commas in template arguments, treating them as macro argument separators instead. The fix is to remove the return statements, making these simple void function calls. This prevents the __Pyx_void_to_None wrapping and allows the wheel to build successfully. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com> --------- Co-authored-by: Claude <noreply@anthropic.com>
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@@ -61,7 +61,7 @@ class IF97BackendGenerator : public AbstractStateGenerator
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{
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public:
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AbstractState* get_AbstractState(const std::vector<std::string>& fluid_names) {
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if (fluid_names.size() == 1) { // Check that fluid_names[0] has only one component
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if (fluid_names.size() == 1) { // Check that fluid_names[0] has only one component
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const std::string str = fluid_names[0]; // Check that the fluid name is an alias for "Water"
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if ((upper(str) == "WATER") || (upper(str) == "H2O")) {
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return new IF97Backend();
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@@ -708,7 +708,7 @@ double AbstractState::fundamental_derivative_of_gas_dynamics() {
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// Get the derivatives of the parameters in the partial derivative with respect to T and rho
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void get_dT_drho(AbstractState& AS, parameters index, CoolPropDbl& dT, CoolPropDbl& drho) {
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const CoolPropDbl T = AS.T(), rho = AS.rhomolar(), rhor = AS.rhomolar_reducing(), Tr = AS.T_reducing(), dT_dtau = -pow(T, 2) / Tr,
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R = AS.gas_constant(), delta = rho / rhor, tau = Tr / T;
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R = AS.gas_constant(), delta = rho / rhor, tau = Tr / T;
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switch (index) {
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case iT:
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@@ -855,7 +855,8 @@ void get_dT_drho(AbstractState& AS, parameters index, CoolPropDbl& dT, CoolPropD
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const double aa = 1.0 + delta * AS.dalphar_dDelta() - delta * tau * AS.d2alphar_dDelta_dTau();
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const double bb = pow(tau, 2) * (AS.d2alpha0_dTau2() + AS.d2alphar_dTau2());
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const double daa_dTau = -delta * tau * AS.d3alphar_dDelta_dTau2();
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const double dbb_dTau = pow(tau, 2) * (AS.d3alpha0_dTau3() + AS.d3alphar_dTau3()) + 2.0 * tau * (AS.d2alpha0_dTau2() + AS.d2alphar_dTau2());
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const double dbb_dTau =
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pow(tau, 2) * (AS.d3alpha0_dTau3() + AS.d3alphar_dTau3()) + 2.0 * tau * (AS.d2alpha0_dTau2() + AS.d2alphar_dTau2());
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const double w = AS.speed_sound();
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dT = 1.0 / 2.0 / w / T
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* (pow(w, 2)
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@@ -878,7 +879,7 @@ void get_dT_drho(AbstractState& AS, parameters index, CoolPropDbl& dT, CoolPropD
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}
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void get_dT_drho_second_derivatives(AbstractState& AS, int index, CoolPropDbl& dT2, CoolPropDbl& drho_dT, CoolPropDbl& drho2) {
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const CoolPropDbl T = AS.T(), rho = AS.rhomolar(), rhor = AS.rhomolar_reducing(), Tr = AS.T_reducing(), R = AS.gas_constant(), delta = rho / rhor,
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tau = Tr / T;
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tau = Tr / T;
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// Here we use T and rho as independent variables since derivations are already done by Thorade, 2013,
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// Partial derivatives of thermodynamic state propertiesfor dynamic simulation, DOI 10.1007/s12665-013-2394-z
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