COVERAGE.md

What is bound, and what is not

Generated alongside the bindings themselves, so it cannot drift from them. Every item the generator could not bind is listed at the bottom with the reason.

Totals

	in Rust	bound
Free functions	4149	4086
Methods	2277	2254
Classes	426	416
Constants	106	106

Of those methods, 70 belong to Complex, BigInt and Rational. Those three have no wrapper class -- they cross over as Python's own complex, int and Fraction -- so their methods appear as functions in the module that defines the type: exact.bigint.mod_pow(base, exponent, modulus) rather than BigInt.mod_pow.

The tree comes to 296 Python modules.

Why the rest is not bound

reason	count
argument ...	66
return type ...	11
re-export shadowed by the submodule ...; reach it at ...	9
generic (<S: GameState>)	3
generic type	2
generic (<T: Copy>)	1
generic (<T: Copy + Default>)	1
generic (<S: Clone>)	1
generic (<S: Clone + std::hash::Hash + Eq>)	1
mutates an immutable Python type	1
generic (<F: Fn(f64) -> f64>)	1

Per module

module	functions bound	classes
acoustics	31	0
atmosphere	17	0
biophysics	19	0
chemistry	18	0
classical	54	0
color_science	14	0
continuum_mechanics	19	0
control_systems	18	1
curves	25	0
electromagnetism	60	0
electronics	17	0
fields	0	2
fluid_instabilities	19	0
fluids	45	0
fractals	15	0
general_relativity	23	0
geometry	30	0
geophysics	22	0
gravitation	14	0
information_theory	16	0
linalg	10	2
magnetohydrodynamics	19	0
math	0	2
mesh	0	1
monte_carlo	13	1
neutronics	22	0
nonlinear	13	0
nuclear	20	0
optics	20	0
optimization	11	0
particle_physics	20	0
photonics	24	0
plasma	16	0
propulsion	15	0
quantum	27	0
quaternion	2	1
radiation	14	0
relativity	18	0
rf	28	0
signal_processing	16	0
solid_mechanics	23	0
statistical_mechanics	21	0
statistics	2	0
thermodynamics	52	0
trigonometry	33	0
units	80	0
vector_calculus	14	0
waves	48	0
astrophysics::collisions	8	3
astrophysics::coords	11	2
astrophysics::gravitational_waves	8	0
astrophysics::habitable_zone	6	0
astrophysics::kepler	9	0
astrophysics::lagrange	4	0
astrophysics::lambert	4	0
astrophysics::magnetosphere	6	1
astrophysics::maneuvers	8	0
astrophysics::nbody	8	2
astrophysics::orbital_elements	15	1
astrophysics::tidal	7	0
astrophysics::time_systems	5	0
audio::analysis	59	2
audio::effects	20	20
audio::envelope	9	5
audio::oscillators	16	5
audio::physical	11	8
audio::spatial	28	0
audio::synthesis	26	3
audio::tuning	25	2
audio::vocoder	8	2
audio::wav	8	1
biophysics::epidemiology	22	1
biophysics::neuro	35	1
biophysics::phylo	9	2
biophysics::population	36	1
biophysics::seq_align	30	2
cfd::advection	17	2
cfd::boundary_layer	31	0
cfd::grid	0	4
cfd::lbm	8	4
cfd::level_set	12	6
cfd::multiphase	34	2
cfd::porous	24	1
cfd::potential_flow	22	5
cfd::riemann	26	6
cfd::shallow_water	14	1
cfd::sph	9	7
cfd::stable_fluids	8	3
cfd::turbulence	33	4
cfd::vortex	17	4
codes::block	11	2
codes::checksum	21	0
codes::compression	28	2
codes::convolutional	15	3
codes::crypto_math	24	2
codes::reed_solomon	4	5
control_systems::kalman	0	2
core::compensated	3	0
core::dual	1	1
core::interval	1	1
discrete::combinatorics	58	0
discrete::disjoint_set	0	1
discrete::number_theory	49	0
discrete::partitions	15	0
discrete::primes	26	0
discrete::sequences	22	0
dsp::fir	18	1
dsp::iir	22	4
dsp::phase	8	0
dsp::resample	10	0
dsp::windows	7	2
exact::bigfloat	5	1
exact::bigint	39	0
exact::contfrac	10	0
exact::polynomial	5	2
exact::rational	34	0
exact::symbolic	3	3
fem::fdtd	7	3
fem::fem1d	7	2
fem::fem2d	16	1
fem::spectral_pde	7	0
finance::options	17	3
finance::portfolio	16	0
finance::rates	19	2
finance::risk	7	1
fractals::attractors	7	3
fractals::automata	17	16
fractals::escape_time	21	3
fractals::ifs	2	3
fractals::lsystem	2	4
fractals::noise	19	8
geometry::delaunay	3	0
geometry::geodesy	5	1
geometry::hull	4	0
geometry::mesh	0	2
graph::coloring	19	1
graph::core	24	1
graph::flow	14	0
graph::layout	15	0
graph::matching	10	0
graph::paths	26	0
graph::spectral	32	0
learn::cluster	13	3
learn::gp	1	2
learn::nn	2	4
learn::tree	11	4
linalg::cholesky	2	0
linalg::eigen	2	1
linalg::lu	2	1
linalg::matrix	0	1
linalg::qr	2	1
linalg::sparse	2	1
linalg::svd	4	1
linalg::tridiagonal	2	0
manifold::clifford	4	1
manifold::dec	3	1
manifold::embedding	39	0
manifold::geodesic	8	2
manifold::hyperbolic	43	2
manifold::lie	16	14
manifold::metric	1	2
manifold::polytope4	27	2
manifold::spacetime	28	5
manifold::spherical	67	0
manifold::vecn	2	2
materials::common	2	1
materials::elements	5	3
materials::fluids	2	1
materials::gases	2	1
mesh::analyze	20	1
mesh::generate	14	0
mesh::isosurface	8	2
mesh::parameterize	7	1
mesh::subdivide	9	1
mesh::surfaces	19	4
monte_carlo::quasi	1	2
numerical::bvp	2	0
numerical::integrate	8	1
numerical::interpolate	6	2
numerical::roots	7	0
optimization::convex	31	0
optimization::game_theory	36	9
optimization::integer	32	1
optimization::least_squares	2	1
optimization::lp	13	3
optimization::metaheuristics	12	2
optimization::network	17	1
patterns::aperiodic	13	2
patterns::knots	20	0
patterns::packing	17	0
patterns::phyllotaxis	18	0
patterns::polygon_ops	29	1
patterns::polyhedra	32	2
patterns::sampling	27	0
patterns::space_filling	20	0
patterns::symmetry	14	4
patterns::tilings	10	3
quantum::algorithms	22	0
quantum::circuit	15	5
quantum::schrodinger	25	1
quantum::solid_state	38	0
quantum::spin	18	1
quantum::wavefunction	13	1
resonance::cavity	32	3
resonance::coupled	6	1
resonance::nonlinear	22	0
resonance::oscillator	9	2
resonance::structural	6	1
sim::cloth_sim	2	3
sim::em_sim	0	2
sim::fluid_sim	0	3
sim::heat_sim	0	3
sim::rigid_body	2	2
sim::wave_sim	0	2
spatial::bvh	0	1
spatial::contain	20	0
spatial::distance	18	0
spatial::frame	0	1
spatial::intersect	23	1
spatial::kdtree	0	3
spatial::mat4	0	1
spatial::octree	1	1
spatial::primitives	0	15
spatial::projective	8	1
spatial::sdf	37	0
spatial::transform2d	0	1
special::bessel	12	0
special::beta	2	0
special::elliptic	7	0
special::erf	3	0
special::expint	2	0
special::gamma	4	0
special::legendre	4	0
statistical_mechanics::ising	13	4
statistical_mechanics::kinetics	36	2
statistical_mechanics::lattice_models	17	0
statistical_mechanics::md	12	3
statistics::descriptive	12	0
statistics::distributions	7	11
statistics::fourier	4	0
statistics::inference	10	1
statistics::resampling	4	1
stochastic::extreme	27	1
stochastic::hmm	4	4
stochastic::markov	0	3
stochastic::point_process	21	0
stochastic::queueing	15	4
stochastic::rmt	18	0
stochastic::sde	31	1
stochastic::timeseries	28	6
transforms::dct	12	1
transforms::fft	21	1
transforms::hilbert	13	0
transforms::laplace	8	0
transforms::radon	9	1
transforms::spectral	18	0
transforms::stft	10	1
transforms::wavelet	16	4
units::dimensional	7	0
units::quantity	6	2
fractals::attractors::presets	35	0
fractals::automata::patterns	11	0
fractals::ifs::presets	16	0
fractals::lsystem::presets	23	0
manifold::clifford::cga3	37	1
manifold::clifford::cl3	11	0
manifold::clifford::pga3	28	0
manifold::clifford::sta	12	0
numerical::ode::adaptive	2	1
numerical::ode::explicit	4	0
numerical::ode::symplectic	3	0

Every unbound item

module	item	reason
audio::analysis	key_estimate()	argument chroma_track: &[[f64; 12]]
audio::effects	bitcrush()	argument counter: &mut usize
audio::physical	sympathetic_resonance()	argument strings: &mut [WaveguideString]
audio::synthesis	FmOperator.new()	argument env: Adsr
audio::synthesis	FmSynth.new()	argument ops: Vec<FmOperator>
audio::synthesis	render_note()	argument synth: &mut dyn Synth
audio::synthesis	render_sequence()	argument synth: &mut dyn Synth
audio::synthesis	vector_synth()	argument sources: [&[f64]; 4]
cfd	vortex	re-export shadowed by the submodule cfd::vortex; reach it at cfd.potential_flow.vortex
cfd::grid	CellField2.at_mut()	return type &mut f64
cfd::multiphase	particle_tracking_step()	argument p: &mut (Vec3, Vec3)
cfd::potential_flow	doublet()	return type impl Fn(Vec2) -> (Vec2, f64, f64)
cfd::potential_flow	sink()	return type impl Fn(Vec2) -> (Vec2, f64, f64)
cfd::potential_flow	source()	return type impl Fn(Vec2) -> (Vec2, f64, f64)
cfd::potential_flow	uniform_flow()	return type impl Fn(Vec2) -> (Vec2, f64, f64)
cfd::potential_flow	vortex()	return type impl Fn(Vec2) -> (Vec2, f64, f64)
cfd::turbulence	rans_step()	argument model: &mut dyn RansModel
codes::block	LinearCode.syndrome_table_small()	return type BTreeMap<Vec<bool>, Vec<bool>>
codes::compression	BitReader	generic type
codes::convolutional	apply_permutation()	generic (<T: Copy>)
codes::convolutional	invert_permutation()	generic (<T: Copy + Default>)
core::dual	gradient()	argument f: impl Fn(&[Dual]) -> Dual
core::dual	jacobian()	argument f: impl Fn(&[Dual]) -> Vec<Dual>
discrete::combinatorics	inclusion_exclusion()	argument sizes: &dyn Fn(&[usize]) -> BigInt
exact::bigint	BigInt.cmp_abs()	return type Ordering
exact::bigint	BigInt.set_bit()	mutates an immutable Python type
exact::polynomial	Poly.chebyshev_fit()	generic (<F: Fn(f64) -> f64>)
fractals::attractors	Attractor2Map.bifurcation_diagram()	argument f: &dyn Fn(f64) -> Attractor2Map
fractals::automata	totalistic_rule()	return type impl Fn(&[u8]) -> u8
fractals::escape_time	color_smooth_iter()	argument palette: &dyn Fn(f64) -> [f64; 3]
fractals::escape_time	render_grid()	argument f: &dyn Fn(Complex) -> EscapeResult
fractals::escape_time	render_grid_supersampled()	argument f: &dyn Fn(Complex) -> EscapeResult
fractals::lsystem	LSystem.generate()	argument rng: Option<&mut Rng>
graph::coloring	is_k_colorable_sat_style()	argument time_limit: Duration
linalg	cholesky	re-export shadowed by the submodule linalg::cholesky; reach it at linalg.cholesky.cholesky
linalg	svd	re-export shadowed by the submodule linalg::svd; reach it at linalg.svd.svd
manifold::clifford::sta	maxwell_residual()	argument f: &dyn Fn(&[f64; 4]) -> Multivector
manifold::embedding	riemannian_gradient_descent_stiefel()	argument grad: &dyn Fn(&Matrix) -> Matrix
manifold::lie	Sl2R.exp()	argument a: [[f64; 2]; 2]
manifold::lie	Su2.from_matrix_2x2()	argument m: [[Complex; 2]; 2]
manifold::lie	pose_graph_optimize()	argument edges: &[(usize, usize, Se3, [[f64; 6]; 6])]
manifold::metric	Metric.covariant_derivative_tensor()	argument t: &dyn Fn(&VecN) -> TensorN
manifold::metric	Metric.frw()	argument a: fn(f64) -> f64
manifold::metric	Metric.gaussian_curvature_surface()	argument f: fn(f64, f64) -> Vec3
manifold::metric	Metric.kaluza_klein_5d()	argument g4: Metric
manifold::metric	Metric.new()	argument g: impl Fn(&VecN) -> Matrix + 'static
manifold::metric	frw_metric()	argument a: fn(f64) -> f64
manifold::metric	schwarzschild_metric_fn()	return type impl Fn(&VecN) -> Matrix
manifold::metric	surface_metric_from_parametrization()	argument f: fn(f64, f64) -> Vec3
manifold::metric	warped_product()	argument base: Metric
manifold::spacetime	frw_geodesic()	argument a_fn: fn(f64) -> f64
manifold::spacetime	kaluza_klein_metric()	argument g4: Metric
manifold::vecn	exterior_derivative_numeric()	argument omega: &dyn Fn(&VecN) -> TensorN
mesh	Mesh.transform()	argument m: &Mat4
monte_carlo	mc_integrate_importance()	argument sampler: &dyn Fn(&mut Rng) -> f64
monte_carlo	metropolis_sample()	argument proposal: &dyn Fn(f64, &mut Rng) -> f64
monte_carlo::quasi	scrambled()	argument seq: Sobol
numerical::ode::implicit	backward_euler()	argument jac: Option<&dyn Fn(f64, &[f64]) -> Matrix>
numerical::ode::implicit	bdf2()	argument jac: Option<&dyn Fn(f64, &[f64]) -> Matrix>
optimization::convex	augmented_lagrangian()	argument constraint_gradients: &dyn Fn(&[f64]) -> Vec<Vec<f64>>
optimization::convex	newton_method_nd()	argument hess: &dyn Fn(&[f64]) -> Matrix
optimization::convex	penalty_method()	argument constraint_gradients: &dyn Fn(&[f64]) -> Vec<Vec<f64>>
optimization::convex	trust_region_dogleg()	argument hess: &dyn Fn(&[f64]) -> Matrix
optimization::game_theory	alpha_beta_search()	generic (<S: GameState>)
optimization::game_theory	iterated_pd_tournament()	argument strategies: &[Box<dyn IpdStrategy>]
optimization::game_theory	mcts_lite()	generic (<S: GameState>)
optimization::game_theory	minimax_search()	generic (<S: GameState>)
optimization::game_theory	standard_ipd_strategies()	return type Vec<Box<dyn IpdStrategy>>
optimization::integer	sudoku_solve()	argument grid: &[[u8; 9]; 9]
optimization::least_squares	levenberg_marquardt()	argument jacobian: Option<&dyn Fn(&[f64]) -> Matrix>
optimization::metaheuristics	nsga2()	argument objectives: &[&dyn Fn(&[f64]) -> f64]
optimization::metaheuristics	simulated_annealing_generic()	generic (<S: Clone>)
optimization::metaheuristics	tabu_search()	generic (<S: Clone + std::hash::Hash + Eq>)
photonics	apply_ray_matrix()	argument matrix: &RayMatrix
photonics	multiply_ray_matrices()	argument m1: &RayMatrix
quantum::algorithms	hhl_lite_2x2()	argument a: &[[f64; 2]; 2]
quantum::algorithms	vqe_lite()	argument ansatz: &dyn Fn(&[f64]) -> Result<Circuit, GeomError>
quantum::circuit	Gate.from_matrix()	argument matrix: [[Complex; 2]; 2]
quantum::spin	lanczos()	argument matvec: &dyn Fn(&[Complex]) -> Vec<Complex>
quaternion	Quaternion.from_rotation_matrix()	argument m: &[[f64; 3]; 3]
sim::rigid_body	RigidBodySystem.add_body()	argument body: RigidBody
spatial::quadtree	Quadtree	generic type
special	beta	re-export shadowed by the submodule special::beta; reach it at special.beta.beta
special	erf	re-export shadowed by the submodule special::erf; reach it at special.erf.erf
special	gamma	re-export shadowed by the submodule special::gamma; reach it at special.gamma.gamma
stochastic::hmm	ParticleFilter.new()	argument init: &dyn Fn(&mut Rng) -> Vec<f64>
stochastic::hmm	ParticleFilter.predict()	argument dynamics: &dyn Fn(&[f64], &mut Rng) -> Vec<f64>
stochastic::markov	Mcmc.gibbs()	argument conditionals: &[&dyn Fn(&[f64], &mut Rng) -> f64]
stochastic::point_process	compound_poisson()	argument jump_dist: &dyn Fn(&mut Rng) -> f64
stochastic::point_process	cox_process()	argument rate_dist: &dyn Fn(&mut Rng) -> f64
stochastic::point_process	renewal_function_estimate()	argument interarrival: &dyn Fn(&mut Rng) -> f64
stochastic::point_process	renewal_process()	argument interarrival: &dyn Fn(&mut Rng) -> f64
stochastic::queueing	queue_simulate()	argument arrival: &dyn Fn(&mut Rng) -> f64
stochastic::sde	euler_maruyama_nd()	argument sigma: &dyn Fn(f64, &[f64]) -> Matrix
transforms	fft	re-export shadowed by the submodule transforms::fft; reach it at transforms.fft.fft
transforms	hilbert	re-export shadowed by the submodule transforms::hilbert; reach it at transforms.hilbert.hilbert
transforms	radon	re-export shadowed by the submodule transforms::radon; reach it at transforms.radon.radon