From ac76641b6d952aa509febaa4adc7e695e7a5dac9 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Tue, 12 Nov 2024 12:46:19 -0500 Subject: [PATCH 1/9] Clean up TODOs and FIXMEs --- desc/backend.py | 2 +- desc/basis.py | 1 - desc/coils.py | 2 +- desc/compute/_geometry.py | 6 +++--- desc/equilibrium/equilibrium.py | 3 --- desc/equilibrium/initial_guess.py | 2 +- desc/equilibrium/utils.py | 2 +- desc/grid.py | 1 - desc/input_reader.py | 4 ++-- desc/magnetic_fields/_dommaschk.py | 2 +- desc/nestor.py | 10 ++++------ desc/objectives/linear_objectives.py | 4 ++-- desc/optimize/_scipy_wrappers.py | 6 +++--- desc/optimize/aug_lagrangian.py | 4 ++-- desc/optimize/aug_lagrangian_ls.py | 4 ++-- desc/optimize/fmin_scalar.py | 2 +- desc/optimize/least_squares.py | 2 +- desc/optimize/optimizer.py | 3 +-- desc/perturbations.py | 15 +++++++-------- desc/vmec.py | 4 +--- desc/vmec_utils.py | 2 +- tests/test_bootstrap.py | 2 +- 22 files changed, 36 insertions(+), 47 deletions(-) diff --git a/desc/backend.py b/desc/backend.py index 17f866871b..9ecb95460d 100644 --- a/desc/backend.py +++ b/desc/backend.py @@ -65,7 +65,7 @@ ) ) -if use_jax: # noqa: C901 - FIXME: simplify this, define globally and then assign? +if use_jax: # noqa: C901 from jax import custom_jvp, jit, vmap imap = jax.lax.map diff --git a/desc/basis.py b/desc/basis.py index 6dc88c5e66..ed551f6ebd 100644 --- a/desc/basis.py +++ b/desc/basis.py @@ -1364,7 +1364,6 @@ def polyval_vec(p, x, prec=None): def _polyval_exact(p, x, prec): p = np.atleast_2d(p) x = np.atleast_1d(x).flatten() - # TODO: possibly multithread this bit mpmath.mp.dps = prec y = np.array([np.asarray(mpmath.polyval(list(pi), x)) for pi in p]) return y.astype(float) diff --git a/desc/coils.py b/desc/coils.py index ea0da348a5..b25246facb 100644 --- a/desc/coils.py +++ b/desc/coils.py @@ -2697,7 +2697,7 @@ def insert(self, i, new_item): self._coils.insert(i, new_item) @classmethod - def from_makegrid_coilfile( # noqa: C901 - FIXME: simplify this + def from_makegrid_coilfile( # noqa: C901 cls, coil_file, method="cubic", ignore_groups=False, check_intersection=True ): """Create a MixedCoilSet of SplineXYZCoils from a MAKEGRID coil txtfile. diff --git a/desc/compute/_geometry.py b/desc/compute/_geometry.py index 662413501b..59c07d5a75 100644 --- a/desc/compute/_geometry.py +++ b/desc/compute/_geometry.py @@ -194,7 +194,7 @@ def _A_of_z(params, transforms, profiles, data, **kwargs): data=["Z", "n_rho", "e_theta|r,p", "rho"], parameterization=["desc.geometry.surface.FourierRZToroidalSurface"], resolution_requirement="rt", # just need max(rho) near 1 - # FIXME: Add source grid requirement once omega is nonzero. + # TODO: Add source grid requirement once omega is nonzero. ) def _A_of_z_FourierRZToroidalSurface(params, transforms, profiles, data, **kwargs): # Denote any vector v = [vᴿ, v^ϕ, vᶻ] with a tuple of its contravariant components. @@ -213,7 +213,7 @@ def _A_of_z_FourierRZToroidalSurface(params, transforms, profiles, data, **kwarg line_integrals( transforms["grid"], data["Z"] * n[:, 2] * safenorm(data["e_theta|r,p"], axis=-1), - # FIXME: Works currently for omega = zero, but for nonzero omega + # TODO: Works currently for omega = zero, but for nonzero omega # we need to integrate over theta at constant phi. # Should be simple once we have coordinate mapping and source grid # logic from GitHub pull request #1024. @@ -449,7 +449,7 @@ def _perimeter_of_z(params, transforms, profiles, data, **kwargs): line_integrals( transforms["grid"], safenorm(data["e_theta|r,p"], axis=-1), - # FIXME: Works currently for omega = zero, but for nonzero omega + # TODO: Works currently for omega = zero, but for nonzero omega # we need to integrate over theta at constant phi. # Should be simple once we have coordinate mapping and source grid # logic from GitHub pull request #1024. diff --git a/desc/equilibrium/equilibrium.py b/desc/equilibrium/equilibrium.py index db4d506607..4f5600dddf 100644 --- a/desc/equilibrium/equilibrium.py +++ b/desc/equilibrium/equilibrium.py @@ -1443,7 +1443,6 @@ def axis(self, new): @property def spectral_indexing(self): """str: Type of indexing used for the spectral basis.""" - # TODO: allow this to change? return self._spectral_indexing @property @@ -1972,8 +1971,6 @@ def from_near_axis( raise ValueError("Input must be a pyQSC or pyQIC solution.") from e rho, _ = special.js_roots(L, 2, 2) - # TODO: could make this an OCS grid to improve fitting, need to figure out - # how concentric grids work with QSC grid = LinearGrid(rho=rho, theta=ntheta, zeta=na_eq.phi, NFP=na_eq.nfp) basis_R = FourierZernikeBasis( L=L, diff --git a/desc/equilibrium/initial_guess.py b/desc/equilibrium/initial_guess.py index f2f39915f5..7d9a91404d 100644 --- a/desc/equilibrium/initial_guess.py +++ b/desc/equilibrium/initial_guess.py @@ -20,7 +20,7 @@ from desc.utils import copy_coeffs, warnif -def set_initial_guess(eq, *args, ensure_nested=True): # noqa: C901 - FIXME: simplify +def set_initial_guess(eq, *args, ensure_nested=True): # noqa: C901 """Set the initial guess for the flux surfaces, eg R_lmn, Z_lmn, L_lmn. Parameters diff --git a/desc/equilibrium/utils.py b/desc/equilibrium/utils.py index 19169cb5c0..fe4eb6b402 100644 --- a/desc/equilibrium/utils.py +++ b/desc/equilibrium/utils.py @@ -160,7 +160,7 @@ def parse_axis(axis, NFP=1, sym=True, surface=None): NFP=NFP, ) elif isinstance(surface, ZernikeRZToroidalSection): - # FIXME: include m=0 l!=0 modes + # TODO: include m=0 l!=0 modes axis = FourierRZCurve( R_n=surface.R_lmn[ np.where( diff --git a/desc/grid.py b/desc/grid.py index 2d71d861cb..ba0c8ec1a7 100644 --- a/desc/grid.py +++ b/desc/grid.py @@ -22,7 +22,6 @@ class _Grid(IOAble, ABC): """Base class for collocation grids.""" - # TODO: calculate weights automatically using voronoi / delaunay triangulation _io_attrs_ = [ "_L", "_M", diff --git a/desc/input_reader.py b/desc/input_reader.py index 784411b198..01f0b5b3f0 100644 --- a/desc/input_reader.py +++ b/desc/input_reader.py @@ -137,7 +137,7 @@ def _get_parser_(self): """ return get_parser() - def parse_inputs(self, fname=None): # noqa: C901 - FIXME: simplify this + def parse_inputs(self, fname=None): # noqa: C901 """Read input from DESC input file; converts from VMEC input if necessary. Parameters @@ -970,7 +970,7 @@ def vmec_to_desc_input(vmec_fname, desc_fname): InputReader.write_desc_input(desc_fname, inputs, header) @staticmethod - def parse_vmec_inputs(vmec_fname, threshold=0): # noqa: C901 - FIXME: simplify this + def parse_vmec_inputs(vmec_fname, threshold=0): # noqa: C901 """Parse a VMEC input file into a dictionary of DESC inputs. Parameters diff --git a/desc/magnetic_fields/_dommaschk.py b/desc/magnetic_fields/_dommaschk.py index e2f47e2fec..17eab8800a 100644 --- a/desc/magnetic_fields/_dommaschk.py +++ b/desc/magnetic_fields/_dommaschk.py @@ -80,7 +80,7 @@ def __init__( super().__init__(dommaschk_potential, params) @classmethod - def fit_magnetic_field( # noqa: C901 - FIXME - simplify + def fit_magnetic_field( # noqa: C901 cls, field, coords, max_m, max_l, sym=False, verbose=1, NFP=1 ): """Fit a vacuum magnetic field with a Dommaschk Potential field. diff --git a/desc/nestor.py b/desc/nestor.py index 72d7282e80..a0c723b64b 100644 --- a/desc/nestor.py +++ b/desc/nestor.py @@ -861,14 +861,14 @@ def compute_scalar_magnetic_potential( [g_mnmn[:, :, : mf + 1, : nf + 1].imag, g_mnmn[:, :, : mf + 1, -nf:].imag], axis=-1, ) - # scale amatrix by (2 pi)^2 (#TODO: why ?) copied from fortran + # scale amatrix by (2 pi)^2, copied from fortran amatrix_4d *= (2.0 * jnp.pi) ** 2 m, n = jnp.meshgrid(jnp.arange(mf + 1), jnp.arange(2 * nf + 1), indexing="ij") - # zero out (m=0, n<0, m', n') modes for all m', n' (#TODO: why ?) from fortran + # zero out (m=0, n<0, m', n') modes for all m', n', from fortran amatrix_4d = jnp.where( jnp.logical_and(m == 0, n > nf)[:, :, jnp.newaxis, jnp.newaxis], 0, amatrix_4d ) - # add diagonal terms (#TODO: why 4*pi^3 instead of 1 ?) copied from fortran + # add diagonal terms, copied from fortran amatrix_4d = put( amatrix_4d, Index[m, n, m, n], amatrix_4d[m, n, m, n] + 4.0 * jnp.pi**3 ) @@ -877,7 +877,7 @@ def compute_scalar_magnetic_potential( # combine with contribution from analytic integral; available here in I_mn bvec = h_mn + I_mn - # final fixup from fouri: zero out (m=0, n<0) components (#TODO: why ?) from fortran + # final fixup from fouri: zero out (m=0, n<0) components, from fortran bvec = put(bvec, Index[0, nf + 1 :], 0.0).flatten() phi_mn = jnp.linalg.solve(amatrix, bvec).reshape([mf + 1, 2 * nf + 1]) @@ -945,8 +945,6 @@ def compute_vacuum_magnetic_field( Btot["B_theta"] = Btot["Bpot_theta"] + Btot["Bex_theta"] Btot["B_zeta"] = Btot["Bpot_zeta"] + Btot["Bex_zeta"] - # TODO: for now, simply copied over from fortran code; have to understand what is - # actually done here! h_tz = NFP * jacobian["g_tz"] h_zz = jacobian["g_zz"] * NFP**2 det = 1.0 / (jacobian["g_tt"] * h_zz - h_tz**2) diff --git a/desc/objectives/linear_objectives.py b/desc/objectives/linear_objectives.py index 6f302f2df0..184b004ae5 100644 --- a/desc/objectives/linear_objectives.py +++ b/desc/objectives/linear_objectives.py @@ -45,8 +45,8 @@ def update_target(self, thing): def _parse_target_from_user( self, target_from_user, default_target, default_bounds, idx ): - # FIXME: add logic here to deal with `target_from_user` as a pytree? - # FIXME: does this actually need idx? + # TODO: add logic here to deal with `target_from_user` as a pytree? + # TODO: does this actually need idx? if target_from_user is None: target = default_target bounds = default_bounds diff --git a/desc/optimize/_scipy_wrappers.py b/desc/optimize/_scipy_wrappers.py index d62cca4ca0..c4060a6d08 100644 --- a/desc/optimize/_scipy_wrappers.py +++ b/desc/optimize/_scipy_wrappers.py @@ -52,7 +52,7 @@ hessian=[False, False, True, True, True, True, True], GPU=False, ) -def _optimize_scipy_minimize( # noqa: C901 - FIXME: simplify this +def _optimize_scipy_minimize( # noqa: C901 objective, constraint, x0, method, x_scale, verbose, stoptol, options=None ): """Wrapper for scipy.optimize.minimize. @@ -306,7 +306,7 @@ def callback(xs): hessian=False, GPU=False, ) -def _optimize_scipy_least_squares( # noqa: C901 - FIXME: simplify this +def _optimize_scipy_least_squares( # noqa: C901 objective, constraint, x0, method, x_scale, verbose, stoptol, options=None ): """Wrapper for scipy.optimize.least_squares. @@ -506,7 +506,7 @@ def callback(x1): hessian=[True, False], GPU=False, ) -def _optimize_scipy_constrained( # noqa: C901 - FIXME: simplify this +def _optimize_scipy_constrained( # noqa: C901 objective, constraint, x0, method, x_scale, verbose, stoptol, options=None ): """Wrapper for scipy.optimize.minimize. diff --git a/desc/optimize/aug_lagrangian.py b/desc/optimize/aug_lagrangian.py index a2601032ad..0adc90c27a 100644 --- a/desc/optimize/aug_lagrangian.py +++ b/desc/optimize/aug_lagrangian.py @@ -28,7 +28,7 @@ ) -def fmin_auglag( # noqa: C901 - FIXME: simplify this +def fmin_auglag( # noqa: C901 fun, x0, grad, @@ -539,7 +539,7 @@ def laghess(z, y, mu, *args): g_norm = jnp.linalg.norm(g * v, ord=jnp.inf) # updating augmented lagrangian params - if g_norm < gtolk: # TODO: maybe also add ftolk, xtolk? + if g_norm < gtolk: y = jnp.where(jnp.abs(c) < ctolk, y - mu * c, y) mu = jnp.where(jnp.abs(c) >= ctolk, tau * mu, mu) if constr_violation < ctolk: diff --git a/desc/optimize/aug_lagrangian_ls.py b/desc/optimize/aug_lagrangian_ls.py index 27a1d9f8ba..6b0952bf41 100644 --- a/desc/optimize/aug_lagrangian_ls.py +++ b/desc/optimize/aug_lagrangian_ls.py @@ -29,7 +29,7 @@ ) -def lsq_auglag( # noqa: C901 - FIXME: simplify this +def lsq_auglag( # noqa: C901 fun, x0, jac, @@ -495,7 +495,7 @@ def lagjac(z, y, mu, *args): g_norm = jnp.linalg.norm(g * v, ord=jnp.inf) # updating augmented lagrangian params - if g_norm < gtolk: # TODO: maybe also add ftolk, xtolk? + if g_norm < gtolk: y = jnp.where(jnp.abs(c) < ctolk, y - mu * c, y) mu = jnp.where(jnp.abs(c) >= ctolk, tau * mu, mu) if constr_violation < ctolk: diff --git a/desc/optimize/fmin_scalar.py b/desc/optimize/fmin_scalar.py index c3b6b8208b..cba5d7ef09 100644 --- a/desc/optimize/fmin_scalar.py +++ b/desc/optimize/fmin_scalar.py @@ -27,7 +27,7 @@ ) -def fmintr( # noqa: C901 - FIXME: simplify this +def fmintr( # noqa: C901 fun, x0, grad, diff --git a/desc/optimize/least_squares.py b/desc/optimize/least_squares.py index 227cd93f70..a95238b818 100644 --- a/desc/optimize/least_squares.py +++ b/desc/optimize/least_squares.py @@ -28,7 +28,7 @@ ) -def lsqtr( # noqa: C901 - FIXME: simplify this +def lsqtr( # noqa: C901 fun, x0, jac, diff --git a/desc/optimize/optimizer.py b/desc/optimize/optimizer.py index 99a57c926d..689446fa4e 100644 --- a/desc/optimize/optimizer.py +++ b/desc/optimize/optimizer.py @@ -77,7 +77,7 @@ def method(self, method): ) self._method = method - def optimize( # noqa: C901 - FIXME: simplify this + def optimize( # noqa: C901 self, things, objective, @@ -198,7 +198,6 @@ def optimize( # noqa: C901 - FIXME: simplify this eq_params_init = eq.params_dict.copy() options = {} if options is None else options - # TODO: document options timer = Timer() options = {} if options is None else options _, method = _parse_method(self.method) diff --git a/desc/perturbations.py b/desc/perturbations.py index 03529a1ed1..1e1e127d22 100644 --- a/desc/perturbations.py +++ b/desc/perturbations.py @@ -18,7 +18,7 @@ from desc.objectives.utils import factorize_linear_constraints from desc.optimize.tr_subproblems import trust_region_step_exact_svd from desc.optimize.utils import compute_jac_scale, evaluate_quadratic_form_jac -from desc.utils import Timer, get_instance +from desc.utils import Timer, get_instance, warnif __all__ = ["get_deltas", "perturb", "optimal_perturb"] @@ -91,7 +91,7 @@ def get_deltas(things1, things2): # noqa: C901 return deltas -def perturb( # noqa: C901 - FIXME: break this up into simpler pieces +def perturb( # noqa: C901 eq, objective, constraints, @@ -171,10 +171,10 @@ def perturb( # noqa: C901 - FIXME: break this up into simpler pieces constraint = ObjectiveFunction(constraints) constraint.build(verbose=verbose) - if objective.scalar: # FIXME: change to num objectives >= num parameters - raise AttributeError( - "Cannot perturb with a scalar objective: {}.".format(objective) - ) + warnif( + objective.dim_f < objective.dim_x, + "Perturbing an underdetermined system may give bad results", + ) if verbose > 0: print("Perturbing {}".format(", ".join(deltas.keys()))) @@ -412,7 +412,7 @@ def perturb( # noqa: C901 - FIXME: break this up into simpler pieces return eq_new -def optimal_perturb( # noqa: C901 - FIXME: break this up into simpler pieces +def optimal_perturb( # noqa: C901 eq, objective_f, objective_g, @@ -539,7 +539,6 @@ def optimal_perturb( # noqa: C901 - FIXME: break this up into simpler pieces print("Number of parameters: {}".format(dim_opt)) print("Number of objectives: {}".format(objective_g.dim_f)) - # FIXME: generalize to other constraints constraints = get_fixed_boundary_constraints(eq=eq) constraints = maybe_add_self_consistency(eq, constraints) constraint = ObjectiveFunction(constraints) diff --git a/desc/vmec.py b/desc/vmec.py index 904fd8f2dc..5c7cb00f10 100644 --- a/desc/vmec.py +++ b/desc/vmec.py @@ -208,9 +208,7 @@ def load( return eq @classmethod - def save( # noqa: C901 - FIXME - simplify - cls, eq, path, surfs=128, verbose=1, M_nyq=None, N_nyq=None - ): + def save(cls, eq, path, surfs=128, verbose=1, M_nyq=None, N_nyq=None): # noqa: C901 """Save an Equilibrium as a netCDF file in the VMEC format. Parameters diff --git a/desc/vmec_utils.py b/desc/vmec_utils.py index 9ea5bf7df9..0a1824ac50 100644 --- a/desc/vmec_utils.py +++ b/desc/vmec_utils.py @@ -334,7 +334,7 @@ def zernike_to_fourier(x_lmn, basis, rho): axis to the boundary. """ - # FIXME: this always returns the full double Fourier basis regardless of symmetry + # TODO: this always returns the full double Fourier basis regardless of symmetry M = basis.M N = basis.N diff --git a/tests/test_bootstrap.py b/tests/test_bootstrap.py index d4e49016a1..4c0b255b63 100644 --- a/tests/test_bootstrap.py +++ b/tests/test_bootstrap.py @@ -86,7 +86,7 @@ def test_trapped_fraction_analytic(self): modB = np.where( mask, 9.0 + 3.7 * np.sin(theta - NFP * zeta), 13.0 + 2.6 * np.cos(theta) ) - # todo: find value for sqrt_g_r value to test axis limit + # TODO: find value for sqrt_g_r value to test axis limit f_t_data = trapped_fraction(grid, modB, sqrt_g, sqrt_g_r=np.nan) # The average of (b0 + b1 cos(theta))^2 is b0^2 + (1/2) * b1^2 np.testing.assert_allclose( From 5bc0b99bb20f067db8be7ab6597adcf6f134ec8f Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Tue, 12 Nov 2024 12:51:50 -0500 Subject: [PATCH 2/9] Tag TODOs related to generalized toroidal angle --- desc/compute/_geometry.py | 6 +++--- desc/compute/_omnigenity.py | 2 +- desc/compute/_surface.py | 4 ++-- desc/equilibrium/coords.py | 4 ++-- desc/objectives/_geometry.py | 2 +- 5 files changed, 9 insertions(+), 9 deletions(-) diff --git a/desc/compute/_geometry.py b/desc/compute/_geometry.py index 59c07d5a75..1884f3e67b 100644 --- a/desc/compute/_geometry.py +++ b/desc/compute/_geometry.py @@ -194,7 +194,7 @@ def _A_of_z(params, transforms, profiles, data, **kwargs): data=["Z", "n_rho", "e_theta|r,p", "rho"], parameterization=["desc.geometry.surface.FourierRZToroidalSurface"], resolution_requirement="rt", # just need max(rho) near 1 - # TODO: Add source grid requirement once omega is nonzero. + # TODO(#568): Add source grid requirement once omega is nonzero. ) def _A_of_z_FourierRZToroidalSurface(params, transforms, profiles, data, **kwargs): # Denote any vector v = [vᴿ, v^ϕ, vᶻ] with a tuple of its contravariant components. @@ -213,7 +213,7 @@ def _A_of_z_FourierRZToroidalSurface(params, transforms, profiles, data, **kwarg line_integrals( transforms["grid"], data["Z"] * n[:, 2] * safenorm(data["e_theta|r,p"], axis=-1), - # TODO: Works currently for omega = zero, but for nonzero omega + # TODO(#568): Works currently for omega = zero, but for nonzero omega # we need to integrate over theta at constant phi. # Should be simple once we have coordinate mapping and source grid # logic from GitHub pull request #1024. @@ -449,7 +449,7 @@ def _perimeter_of_z(params, transforms, profiles, data, **kwargs): line_integrals( transforms["grid"], safenorm(data["e_theta|r,p"], axis=-1), - # TODO: Works currently for omega = zero, but for nonzero omega + # TODO(#568): Works currently for omega = zero, but for nonzero omega # we need to integrate over theta at constant phi. # Should be simple once we have coordinate mapping and source grid # logic from GitHub pull request #1024. diff --git a/desc/compute/_omnigenity.py b/desc/compute/_omnigenity.py index db37766882..5f878bea2c 100644 --- a/desc/compute/_omnigenity.py +++ b/desc/compute/_omnigenity.py @@ -63,7 +63,7 @@ def fitfun(x): data=["B_phi|r,t"], resolution_requirement="tz", grid_requirement={"is_meshgrid": True}, - aliases="B_zeta_mn", # TODO: remove when phi != zeta + aliases="B_zeta_mn", # TODO(#568): remove when phi != zeta M_booz="int: Maximum poloidal mode number for Boozer harmonics. Default 2*eq.M", N_booz="int: Maximum toroidal mode number for Boozer harmonics. Default 2*eq.N", ) diff --git a/desc/compute/_surface.py b/desc/compute/_surface.py index d37f82337e..8ee685c2bd 100644 --- a/desc/compute/_surface.py +++ b/desc/compute/_surface.py @@ -3,7 +3,7 @@ from .data_index import register_compute_fun from .geom_utils import rpz2xyz -# TODO: review when zeta no longer equals phi +# TODO(#568): review when zeta no longer equals phi @register_compute_fun( @@ -27,7 +27,7 @@ def _x_FourierRZToroidalSurface(params, transforms, profiles, data, **kwargs): R = transforms["R"].transform(params["R_lmn"]) Z = transforms["Z"].transform(params["Z_lmn"]) - # TODO: change when zeta no longer equals phi + # TODO(#568): change when zeta no longer equals phi phi = transforms["grid"].nodes[:, 2] coords = jnp.stack([R, phi, Z], axis=1) # default basis for "x" is rpz, the conversion will be done diff --git a/desc/equilibrium/coords.py b/desc/equilibrium/coords.py index d217a51f07..f5e318877a 100644 --- a/desc/equilibrium/coords.py +++ b/desc/equilibrium/coords.py @@ -286,7 +286,7 @@ def _distance_body(i, idx): return yg[idx] -# TODO: decide later whether to assume given phi instead of zeta. +# TODO(#568): decide later whether to assume given phi instead of zeta. def _map_PEST_coordinates( coords, L_lmn, @@ -395,7 +395,7 @@ def fixup(x, *args): return out -# TODO: decide later whether to assume given phi instead of zeta. +# TODO(#568): decide later whether to assume given phi instead of zeta. def _map_clebsch_coordinates( coords, iota, diff --git a/desc/objectives/_geometry.py b/desc/objectives/_geometry.py index 5aeee652af..38950d885c 100644 --- a/desc/objectives/_geometry.py +++ b/desc/objectives/_geometry.py @@ -615,7 +615,7 @@ def build(self, use_jit=True, verbose=1): "Plasma grid includes interior points, should be rho=1.", ) - # TODO: How to use with generalized toroidal angle? + # TODO(#568): How to use with generalized toroidal angle? # first check that the number of zeta nodes are the same, which # is a prerequisite to the zeta nodes themselves being the same errorif( From 4578e9cb4c4bca1ec8179954b0b04b287aa1a391 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Tue, 12 Nov 2024 13:43:56 -0500 Subject: [PATCH 3/9] Add missing warning type to warnif --- desc/perturbations.py | 1 + 1 file changed, 1 insertion(+) diff --git a/desc/perturbations.py b/desc/perturbations.py index 1e1e127d22..a69e82f1a5 100644 --- a/desc/perturbations.py +++ b/desc/perturbations.py @@ -173,6 +173,7 @@ def perturb( # noqa: C901 warnif( objective.dim_f < objective.dim_x, + UserWarning, "Perturbing an underdetermined system may give bad results", ) From c538cdaeeef7634cd5ed376b26c7bb8bcc7bf74e Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 13 Nov 2024 00:02:50 -0500 Subject: [PATCH 4/9] Fix dimension of perturbed state --- desc/perturbations.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/desc/perturbations.py b/desc/perturbations.py index a69e82f1a5..5c35e8f6d1 100644 --- a/desc/perturbations.py +++ b/desc/perturbations.py @@ -172,7 +172,7 @@ def perturb( # noqa: C901 constraint.build(verbose=verbose) warnif( - objective.dim_f < objective.dim_x, + objective.dim_f < (objective.dim_x - constraint.dim_f), UserWarning, "Perturbing an underdetermined system may give bad results", ) From f8c64e6fa12d8372096ef61638a272927994dcc0 Mon Sep 17 00:00:00 2001 From: Dario Panici Date: Mon, 18 Nov 2024 16:01:48 -0500 Subject: [PATCH 5/9] add issues to TODOs or remove --- desc/basis.py | 4 ++-- desc/batching.py | 1 - desc/coils.py | 4 ++-- desc/compute/_omnigenity.py | 2 +- desc/compute/_profiles.py | 6 +++--- desc/compute/_stability.py | 2 +- desc/continuation.py | 1 - desc/equilibrium/coords.py | 4 ++-- desc/equilibrium/utils.py | 4 ++-- desc/geometry/surface.py | 2 +- desc/input_reader.py | 1 - desc/integrals/bounce_utils.py | 5 +++-- desc/integrals/interp_utils.py | 2 +- desc/integrals/surface_integral.py | 6 ++---- desc/magnetic_fields/_core.py | 2 +- desc/magnetic_fields/_dommaschk.py | 10 +++++----- desc/objectives/linear_objectives.py | 9 +++------ desc/objectives/nae_utils.py | 5 ++--- desc/objectives/objective_funs.py | 2 +- desc/optimize/_constraint_wrappers.py | 4 ++-- desc/optimize/_desc_wrappers.py | 2 +- desc/optimize/least_squares.py | 2 +- desc/plotting.py | 2 +- desc/vmec.py | 13 +++++++------ desc/vmec_utils.py | 3 ++- devtools/dev-requirements.txt | 2 +- devtools/dev-requirements_conda.yml | 2 +- tests/test_axis_limits.py | 3 ++- tests/test_bootstrap.py | 2 +- tests/test_compute_everything.py | 3 ++- tests/test_compute_funs.py | 6 +++--- tests/test_integrals.py | 6 +++--- tests/test_linear_objectives.py | 4 ++-- tests/test_objective_funs.py | 4 +--- 34 files changed, 62 insertions(+), 68 deletions(-) diff --git a/desc/basis.py b/desc/basis.py index 7303153e03..fac612c723 100644 --- a/desc/basis.py +++ b/desc/basis.py @@ -1098,13 +1098,13 @@ def evaluate( if not len(modes): return np.array([]).reshape((len(nodes), 0)) - # TODO: avoid duplicate calculations when mixing derivatives + # TODO(#1243): avoid duplicate calculations when mixing derivatives r, t, z = nodes.T l, m, n = modes.T lm = modes[:, :2] if unique: - # TODO: can avoid this here by using grid.unique_idx etc + # TODO(#1243): can avoid this here by using grid.unique_idx etc # and adding unique_modes attributes to basis _, ridx, routidx = np.unique( r, return_index=True, return_inverse=True, axis=0 diff --git a/desc/batching.py b/desc/batching.py index 129ef7ec38..ec45b29aa5 100644 --- a/desc/batching.py +++ b/desc/batching.py @@ -102,7 +102,6 @@ def f_(carry, x): return res_append -# TODO in_axes a la vmap? def _scanmap(fun, scan_fun, argnums=0): """A helper function to wrap f with a scan_fun.""" diff --git a/desc/coils.py b/desc/coils.py index b25246facb..64902d7be2 100644 --- a/desc/coils.py +++ b/desc/coils.py @@ -1901,8 +1901,8 @@ def save_in_makegrid_format(self, coilsFilename, NFP=None, grid=None): if None, will default to the coil compute functions's default grid """ - # TODO: name each group based off of CoilSet name? - # TODO: have CoilGroup be automatically assigned based off of + # TODO(#1376): name each group based off of CoilSet name? + # TODO(#1376): have CoilGroup be automatically assigned based off of # CoilSet if current coilset is a collection of coilsets? NFP = 1 if NFP is None else NFP diff --git a/desc/compute/_omnigenity.py b/desc/compute/_omnigenity.py index 5f878bea2c..2355a6fcb4 100644 --- a/desc/compute/_omnigenity.py +++ b/desc/compute/_omnigenity.py @@ -47,7 +47,7 @@ def fitfun(x): return data -# TODO: do math to change definition of nu so that we can just use B_zeta_mn here +# TODO (#568): do math to change definition of nu so that we can just use B_zeta_mn here @register_compute_fun( name="B_phi_mn", label="B_{\\phi, m, n}", diff --git a/desc/compute/_profiles.py b/desc/compute/_profiles.py index 65bca54b59..f2fde0c158 100644 --- a/desc/compute/_profiles.py +++ b/desc/compute/_profiles.py @@ -1378,7 +1378,7 @@ def _iota_num_rrr(params, transforms, profiles, data, **kwargs): - beta * data["sqrt(g)_rrr"], data["sqrt(g)"], ), - # Todo: axis limit of beta_rrr + # TODO(#587): axis limit of beta_rrr # Computed with four applications of l’Hôpital’s rule. # Requires sqrt(g)_rrrr and fourth derivatives of basis vectors. jnp.nan, @@ -1656,7 +1656,7 @@ def _iota_den_rrr(params, transforms, profiles, data, **kwargs): - gamma * data["sqrt(g)_rrr"], data["sqrt(g)"], ), - # Todo: axis limit + # TODO(#587): axis limit # Computed with four applications of l’Hôpital’s rule. # Requires sqrt(g)_rrrr and fourth derivatives of basis vectors. jnp.nan, @@ -1713,7 +1713,7 @@ def _q(params, transforms, profiles, data, **kwargs): return data -# TODO: add K(rho,theta,zeta)*grad(rho) term +# TODO (#1381): add K(rho,theta,zeta)*grad(rho) term @register_compute_fun( name="I", label="I", diff --git a/desc/compute/_stability.py b/desc/compute/_stability.py index fc773674ec..5f7f4c60d1 100644 --- a/desc/compute/_stability.py +++ b/desc/compute/_stability.py @@ -76,7 +76,7 @@ def _D_current(params, transforms, profiles, data, **kwargs): / data["|grad(psi)|"] ** 3 * dot(Xi, data["B"]) ), - # Todo: implement equivalent of equation 4.3 in desc coordinates + # TODO(#671): implement equivalent of equation 4.3 in desc coordinates jnp.nan, ) ) diff --git a/desc/continuation.py b/desc/continuation.py index b5274171fe..b4f1ef0e4d 100644 --- a/desc/continuation.py +++ b/desc/continuation.py @@ -748,7 +748,6 @@ def solve_continuation( # noqa: C901 if len(deltas) > 0: if verbose > 0: print("Perturbing equilibrium") - # TODO: pass Jx if available eqp = eqfam[ii - 1].copy() objective_i = get_equilibrium_objective( eq=eqp, mode=objective, jac_chunk_size=jac_chunk_size diff --git a/desc/equilibrium/coords.py b/desc/equilibrium/coords.py index f5e318877a..186049a2f9 100644 --- a/desc/equilibrium/coords.py +++ b/desc/equilibrium/coords.py @@ -107,7 +107,7 @@ def map_coordinates( # noqa: C901 profiles = get_profiles(inbasis + basis_derivs, eq) - # TODO: make this work for permutations of in/out basis + # TODO (#1382): make this work for permutations of in/out basis if outbasis == ("rho", "theta", "zeta"): if inbasis == ("rho", "alpha", "zeta"): if "iota" in kwargs: @@ -766,7 +766,7 @@ def get_rtz_grid( return desc_grid -# TODO: deprecated, remove eventually +# TODO(#1383): deprecated, remove eventually def compute_theta_coords( eq, flux_coords, L_lmn=None, tol=1e-6, maxiter=20, full_output=False, **kwargs ): diff --git a/desc/equilibrium/utils.py b/desc/equilibrium/utils.py index fe4eb6b402..b597fd149e 100644 --- a/desc/equilibrium/utils.py +++ b/desc/equilibrium/utils.py @@ -146,7 +146,7 @@ def parse_axis(axis, NFP=1, sym=True, surface=None): name="axis", ) elif axis is None: # use the center of surface - # TODO: make this method of surface, surface.get_axis()? + # TODO (#1384): make this method of surface, surface.get_axis()? if isinstance(surface, FourierRZToroidalSurface): axis = FourierRZCurve( R_n=surface.R_lmn[np.where(surface.R_basis.modes[:, 1] == 0)], @@ -160,7 +160,7 @@ def parse_axis(axis, NFP=1, sym=True, surface=None): NFP=NFP, ) elif isinstance(surface, ZernikeRZToroidalSection): - # TODO: include m=0 l!=0 modes + # TODO (#782): include m=0 l!=0 modes axis = FourierRZCurve( R_n=surface.R_lmn[ np.where( diff --git a/desc/geometry/surface.py b/desc/geometry/surface.py index c96e9b8615..f6350ea210 100644 --- a/desc/geometry/surface.py +++ b/desc/geometry/surface.py @@ -339,7 +339,7 @@ def from_input_file(cls, path, **kwargs): ) return surf - # TODO: add k value for number of rotations per field period + # TODO (#1385): add k value for number of rotations per field period @classmethod def from_qp_model( cls, diff --git a/desc/input_reader.py b/desc/input_reader.py index 01f0b5b3f0..a6241c13ac 100644 --- a/desc/input_reader.py +++ b/desc/input_reader.py @@ -386,7 +386,6 @@ def parse_inputs(self, fname=None): # noqa: C901 if match: inputs["bdry_mode"] = words[0].lower() flag = True - # TODO: set bdry_mode automatically based on bdry coeffs # coefficient indices match = re.search(r"l\s*:\s*" + num_form, command, re.IGNORECASE) diff --git a/desc/integrals/bounce_utils.py b/desc/integrals/bounce_utils.py index 656c4e588c..03f6f924e8 100644 --- a/desc/integrals/bounce_utils.py +++ b/desc/integrals/bounce_utils.py @@ -83,7 +83,7 @@ def _check_spline_shape(knots, g, dg_dz, pitch_inv=None): to that field line. """ - errorif(knots.ndim != 1, msg=f"knots should be 1d; got shape {knots.shape}.") + errorif(knots.ndim != 1, msg=f"knots should be 1d, got shape {knots.shape}.") errorif( g.shape[-2] != (knots.size - 1), msg=( @@ -390,7 +390,8 @@ def loop(z): # over num well axis ) result = jnp.moveaxis( - # TODO: Use batch_size arg of imap after increasing JAX version requirement. + # TODO (#1386): Use batch_size arg of imap after + # increasing JAX version requirement. imap(loop, (jnp.moveaxis(z1, -1, 0), jnp.moveaxis(z2, -1, 0)))[1], source=0, destination=-1, diff --git a/desc/integrals/interp_utils.py b/desc/integrals/interp_utils.py index c00506fce8..db652df325 100644 --- a/desc/integrals/interp_utils.py +++ b/desc/integrals/interp_utils.py @@ -82,7 +82,7 @@ def polyval_vec(*, x, c): ) -# TODO: Eventually do a PR to move this stuff into interpax. +# TODO (#1388): Eventually do a PR to move this stuff into interpax. def _subtract_last(c, k): diff --git a/desc/integrals/surface_integral.py b/desc/integrals/surface_integral.py index 944a711904..54cfdabe1b 100644 --- a/desc/integrals/surface_integral.py +++ b/desc/integrals/surface_integral.py @@ -8,8 +8,8 @@ from desc.grid import ConcentricGrid, LinearGrid from desc.utils import errorif, warnif -# TODO: Make the surface integral stuff objects with a callable method instead of -# returning functions. Would make simpler, allow users to actually see the +# TODO (#1389): Make the surface integral stuff objects with a callable method instead +# of returning functions. Would make simpler, allow users to actually see the # docstrings of the methods, and less bookkeeping to default to more # efficient methods on tensor product grids. @@ -227,8 +227,6 @@ def surface_integrals_map(grid, surface_label="rho", expand_out=True, tol=1e-14) ) spacing = jnp.prod(spacing, axis=1) - # Todo: Define mask as a sparse matrix once sparse matrices are no longer - # experimental in jax. if has_idx: # The ith row of masks is True only at the indices which correspond to the # ith surface. The integral over the ith surface is the dot product of the diff --git a/desc/magnetic_fields/_core.py b/desc/magnetic_fields/_core.py index a8603351a0..507262d7fe 100644 --- a/desc/magnetic_fields/_core.py +++ b/desc/magnetic_fields/_core.py @@ -2401,7 +2401,7 @@ def __init__( assert len(x_lmn) == self.x_basis.num_modes self._x_lmn = x_lmn - # TODO: should we not allow some types of helicity? + # TODO (#1390): should we not allow some types of helicity? helicity_sign = sign(helicity[0]) * sign(helicity[1]) warnif( self.helicity != (0, self.NFP * helicity_sign) diff --git a/desc/magnetic_fields/_dommaschk.py b/desc/magnetic_fields/_dommaschk.py index 17eab8800a..009c7fb72a 100644 --- a/desc/magnetic_fields/_dommaschk.py +++ b/desc/magnetic_fields/_dommaschk.py @@ -117,7 +117,7 @@ def fit_magnetic_field( # noqa: C901 B = field(coords) else: # it must be the field evaluated at the passed-in coords B = field - # TODO: add basis argument for if passed-in field or callable + # TODO (#928): add basis argument for if passed-in field or callable # evaluates rpz or xyz basis magnetic field vector, # and what basis coords is @@ -132,7 +132,7 @@ def fit_magnetic_field( # noqa: C901 # b is made, now do A ##################### num_modes = 1 + (max_l) * (max_m + 1) * 4 - # TODO: if symmetric, technically only need half the modes + # TODO (#928): if symmetric, technically only need half the modes # however, the field and functions are setup to accept equal # length arrays for a,b,c,d, so we will just zero out the # modes that don't fit symmetry, but in future @@ -141,7 +141,7 @@ def fit_magnetic_field( # noqa: C901 # and the modes array can then be [m,l,x] where x is 0,1,2,3 # and we dont need to keep track of a,b,c,d separately - # TODO: technically we can drop some modes + # TODO (#928): technically we can drop some modes # since if max_l=0, there are only ever nonzero terms for a and b # and if max_m=0, there are only ever nonzero terms for a and c # but since we are only fitting in a least squares sense, @@ -247,7 +247,7 @@ def get_B_dom(coords, X, ms, ls): # now solve Ac=b for the coefficients c - # TODO: use min singular value to give sense of cond number? + # TODO (#928): use min singular value to give sense of cond number? c, res, _, _ = jnp.linalg.lstsq(A, rhs) if verbose > 0: @@ -258,7 +258,7 @@ def get_B_dom(coords, X, ms, ls): B0 = c[0] # we zero out the terms that should be zero due to symmetry here - # TODO: should also just not return any zeroed-out modes, but + # TODO (#928): should also just not return any zeroed-out modes, but # the way the modes are cataloged here with the ls and ms arrays, # it is not straightforward to do that a_arr = c[1 : n + 1] * abcd_zero_due_to_sym_inds[0] diff --git a/desc/objectives/linear_objectives.py b/desc/objectives/linear_objectives.py index 0c263bbd4e..1c8817a880 100644 --- a/desc/objectives/linear_objectives.py +++ b/desc/objectives/linear_objectives.py @@ -20,7 +20,7 @@ from .objective_funs import _Objective -# TODO: get rid of this class and inherit from FixParameters instead? +# TODO (#1391): get rid of this class and inherit from FixParameters instead? class _FixedObjective(_Objective): _fixed = True _linear = True @@ -45,8 +45,8 @@ def update_target(self, thing): def _parse_target_from_user( self, target_from_user, default_target, default_bounds, idx ): - # TODO: add logic here to deal with `target_from_user` as a pytree? - # TODO: does this actually need idx? + # TODO (#1391): add logic here to deal with `target_from_user` as a pytree? + # TODO (#1391: does this actually need idx? if target_from_user is None: target = default_target bounds = default_bounds @@ -2513,7 +2513,6 @@ def __init__( normalize_target=normalize_target, name=name, ) - # TODO: add normalization? class FixCurveRotation(FixParameters): @@ -2879,7 +2878,6 @@ def __init__( normalize_target=normalize_target, name=name, ) - # TODO: add normalization? class FixOmniMap(FixParameters): @@ -3094,7 +3092,6 @@ def __init__( normalize_target=normalize_target, name=name, ) - # TODO: add normalization? class FixNearAxisR(_FixedObjective): diff --git a/desc/objectives/nae_utils.py b/desc/objectives/nae_utils.py index 8a1e92e0ca..5a3ff26d2c 100644 --- a/desc/objectives/nae_utils.py +++ b/desc/objectives/nae_utils.py @@ -295,10 +295,10 @@ def _make_RZ_cons_order_rho( # noqa: C901 the O(rho) behavior of the equilibrium R coefficients to match the NAE. Zconstraints : tuple of Objective tuple of constraints of type FixSumModesZ, which enforce - the O(rho) behavior of the equilibrium Z coefficents to match the NAE. + the O(rho) behavior of the equilibrium Z coefficients to match the NAE. Lconstraints : tuple of Objective tuple of constraints of type FixSumModesLambda, which enforce - the O(rho) behavior of the equilibrium lambda coefficents to match the NAE. + the O(rho) behavior of the equilibrium lambda coefficients to match the NAE. Tuple is empty if fix_lambda=False. """ @@ -306,7 +306,6 @@ def _make_RZ_cons_order_rho( # noqa: C901 # r is the ratio r_NAE / rho_DESC r = np.sqrt(2 * abs(desc_eq.Psi / qsc.Bbar) / 2 / np.pi) else: - # TODO: is this true? r = 1 # using DESC equilibrium's behavior, no conversion is needed Rconstraints = () diff --git a/desc/objectives/objective_funs.py b/desc/objectives/objective_funs.py index 9f0ca3945f..c32dbb565c 100644 --- a/desc/objectives/objective_funs.py +++ b/desc/objectives/objective_funs.py @@ -613,7 +613,7 @@ def unpack_state(self, x, per_objective=True): def x(self, *things): """Return the full state vector from the Optimizable objects things.""" - # TODO: also check resolution etc? + # TODO (#1392): also check resolution of the things etc? things = things or self.things errorif( len(things) != len(self.things), diff --git a/desc/optimize/_constraint_wrappers.py b/desc/optimize/_constraint_wrappers.py index bbc5daf4ee..dc2e3033c7 100644 --- a/desc/optimize/_constraint_wrappers.py +++ b/desc/optimize/_constraint_wrappers.py @@ -704,7 +704,7 @@ def unpack_state(self, x, per_objective=True): def x(self, *things): """Return the full state vector from the Optimizable objects things.""" - # TODO: also check resolution etc? + # TODO (#1392): also check resolution etc? things = things or self.things assert [type(t1) is type(t2) for t1, t2 in zip(things, self.things)] xs = [] @@ -872,7 +872,7 @@ def grad(self, x, constants=None): gradient vector. """ - # TODO: figure out projected vjp to make this better + # TODO (#1393): figure out projected vjp to make this better f = jnp.atleast_1d(self.compute_scaled_error(x, constants)) J = self.jac_scaled_error(x, constants) return f.T @ J diff --git a/desc/optimize/_desc_wrappers.py b/desc/optimize/_desc_wrappers.py index cf5addc86b..ae466c4dd6 100644 --- a/desc/optimize/_desc_wrappers.py +++ b/desc/optimize/_desc_wrappers.py @@ -87,7 +87,7 @@ def _optimize_desc_aug_lagrangian( ub, lambda x, *c: constraint.jac_scaled(x, c[1]), ) - # TODO: can't pass constants dict into vjp for now + # TODO (#1394): can't pass constants dict into vjp for now constraint_wrapped.vjp = lambda v, x, *args: constraint.vjp_scaled(v, x) else: constraint_wrapped = None diff --git a/desc/optimize/least_squares.py b/desc/optimize/least_squares.py index a95238b818..ef19c346c9 100644 --- a/desc/optimize/least_squares.py +++ b/desc/optimize/least_squares.py @@ -344,7 +344,7 @@ def lsqtr( # noqa: C901 ) alltr.append(trust_radius) alpha *= tr_old / trust_radius - # TODO: does this need to move to the outer loop? + # TODO (#1395): does this need to move to the outer loop? success, message = check_termination( actual_reduction, cost, diff --git a/desc/plotting.py b/desc/plotting.py index def22fa14d..e29c8199f2 100644 --- a/desc/plotting.py +++ b/desc/plotting.py @@ -3340,7 +3340,7 @@ def plot_basis(basis, return_data=False, **kwargs): """ title_fontsize = kwargs.pop("title_fontsize", None) - # TODO: add all other Basis classes + # TODO(#1377): add all other Basis classes if basis.__class__.__name__ == "PowerSeries": grid = LinearGrid(rho=100, endpoint=True) r = grid.nodes[:, 0] diff --git a/desc/vmec.py b/desc/vmec.py index 5c7cb00f10..14c4cafff0 100644 --- a/desc/vmec.py +++ b/desc/vmec.py @@ -346,7 +346,8 @@ def save(cls, eq, path, surfs=128, verbose=1, M_nyq=None, N_nyq=None): # noqa: np.array([" " * 100], "S" + str(file.dimensions["dim_00100"].size)) ) # VMEC input filename: input.[input_extension] - # TODO: instead of hard-coding for fixed-boundary, also allow for free-boundary? + # TODO(#1378): instead of hard-coding for fixed-boundary, + # also allow for free-boundary? mgrid_mode = file.createVariable("mgrid_mode", "S1", ("dim_00001",)) mgrid_mode[:] = stringtochar( np.array([""], "S" + str(file.dimensions["dim_00001"].size)) @@ -440,7 +441,7 @@ def save(cls, eq, path, surfs=128, verbose=1, M_nyq=None, N_nyq=None): # noqa: nextcur.long_name = "number of coils (external currents)" nextcur[:] = 0 # hard-coded assuming fixed-boundary solve - # TODO: add option for saving spline profiles + # TODO(#183): add option for saving spline profiles power_series = stringtochar( np.array( ["power_series" + " " * 8], "S" + str(file.dimensions["dim_00020"].size) @@ -1083,7 +1084,7 @@ def fullfit(x): bsubsmns[0, :] = ( # linear extrapolation for coefficient at the magnetic axis s[1, :] - (s[2, :] - s[1, :]) / (s_full[2] - s_full[1]) * s_full[1] ) - # TODO: evaluate current at rho=0 nodes instead of extrapolation + # TODO (#1379): evaluate current at rho=0 nodes instead of extrapolation if not eq.sym: bsubsmnc[:, :] = c bsubsmnc[0, :] = ( @@ -1219,7 +1220,7 @@ def fullfit(x): currumnc[0, :] = ( # linear extrapolation for coefficient at the magnetic axis s[1, :] - (c[2, :] - c[1, :]) / (s_full[2] - s_full[1]) * s_full[1] ) - # TODO: evaluate current at rho=0 nodes instead of extrapolation + # TODO (#1379): evaluate current at rho=0 nodes instead of extrapolation if not eq.sym: currumns[:, :] = s currumns[0, :] = ( @@ -1269,7 +1270,7 @@ def fullfit(x): currvmnc[0, :] = -( # linear extrapolation for coefficient at the magnetic axis s[1, :] - (c[2, :] - c[1, :]) / (s_full[2] - s_full[1]) * s_full[1] ) - # TODO: evaluate current at rho=0 nodes instead of extrapolation + # TODO (#1379): evaluate current at rho=0 nodes instead of extrapolation if not eq.sym: currvmns[:, :] = -s currumns[0, :] = -( @@ -1279,7 +1280,7 @@ def fullfit(x): if verbose > 1: timer.disp("J^zeta*sqrt(g)") - # TODO: these output quantities need to be added + # TODO (#1380): these output quantities need to be added bdotgradv = file.createVariable("bdotgradv", np.float64, ("radius",)) bdotgradv[:] = np.zeros((file.dimensions["radius"].size,)) bdotgradv.long_name = "Not Implemented: This output is hard-coded to 0!" diff --git a/desc/vmec_utils.py b/desc/vmec_utils.py index 0a1824ac50..85710b12a9 100644 --- a/desc/vmec_utils.py +++ b/desc/vmec_utils.py @@ -334,7 +334,8 @@ def zernike_to_fourier(x_lmn, basis, rho): axis to the boundary. """ - # TODO: this always returns the full double Fourier basis regardless of symmetry + # TODO (PR #680): this always returns the full double Fourier basis + # regardless of symmetry M = basis.M N = basis.N diff --git a/devtools/dev-requirements.txt b/devtools/dev-requirements.txt index dd11240c8f..4ec9db9447 100644 --- a/devtools/dev-requirements.txt +++ b/devtools/dev-requirements.txt @@ -4,7 +4,7 @@ # building the docs nbsphinx == 0.8.12 sphinx > 3.0.0 -# TODO: Remove sphinx-argparse <0.5.0 pin once upstream build issue is fixed +# TODO (#1396): Remove sphinx-argparse <0.5.0 pin once upstream build issue is fixed # sphinx-argparse < 0.5.0 sphinx_copybutton diff --git a/devtools/dev-requirements_conda.yml b/devtools/dev-requirements_conda.yml index 45b1260c6a..aa9ce95de3 100644 --- a/devtools/dev-requirements_conda.yml +++ b/devtools/dev-requirements_conda.yml @@ -33,7 +33,7 @@ dependencies: - nbsphinx == 0.8.12 - pandoc - sphinx > 3.0.0 - # TODO: Remove sphinx-argparse <0.5.0 pin once upstream build issue is fixed + # TODO (#1396): Remove sphinx-argparse <0.5.0 pin once upstream build issue is fixed # - sphinx-argparse < 0.5.0 - sphinx-copybutton diff --git a/tests/test_axis_limits.py b/tests/test_axis_limits.py index b8d173f7e9..e456e84070 100644 --- a/tests/test_axis_limits.py +++ b/tests/test_axis_limits.py @@ -191,7 +191,8 @@ def assert_is_continuous( """ if kwargs is None: kwargs = {} - # TODO: remove when boozer transform works with multiple surfaces + # TODO ( #671, #1206):currently skip Boozer quants because it needs sym=False grid + # and also, Boozer axis limits are not yet implemented (#1206) names = [ name for name in names diff --git a/tests/test_bootstrap.py b/tests/test_bootstrap.py index 4c0b255b63..c314069605 100644 --- a/tests/test_bootstrap.py +++ b/tests/test_bootstrap.py @@ -86,7 +86,7 @@ def test_trapped_fraction_analytic(self): modB = np.where( mask, 9.0 + 3.7 * np.sin(theta - NFP * zeta), 13.0 + 2.6 * np.cos(theta) ) - # TODO: find value for sqrt_g_r value to test axis limit + # TODO (#671): find value for sqrt_g_r to test axis limit f_t_data = trapped_fraction(grid, modB, sqrt_g, sqrt_g_r=np.nan) # The average of (b0 + b1 cos(theta))^2 is b0^2 + (1/2) * b1^2 np.testing.assert_allclose( diff --git a/tests/test_compute_everything.py b/tests/test_compute_everything.py index ead54493e3..9619166042 100644 --- a/tests/test_compute_everything.py +++ b/tests/test_compute_everything.py @@ -244,7 +244,8 @@ def test_compute_everything(): if p in no_xyz_things: continue # remove quantities that are not implemented in the XYZ basis - # TODO: generalize this instead of hard-coding for "grad(B)" & dependencies + # TODO (#1110): generalize this instead of hard-coding for + # the quantities "grad(B)" & dependencies names_xyz = ( names - {"grad(B)", "|grad(B)|", "L_grad(B)"} if "grad(B)" in names diff --git a/tests/test_compute_funs.py b/tests/test_compute_funs.py index 9a9216cc8e..009e399410 100644 --- a/tests/test_compute_funs.py +++ b/tests/test_compute_funs.py @@ -1104,7 +1104,7 @@ def test_partial_derivative(name): @pytest.mark.solve def test_boozer_transform(): """Test that Boozer coordinate transform agrees with BOOZ_XFORM.""" - # TODO: add test with stellarator example + # TODO (#680): add test with stellarator example eq = get("DSHAPE_CURRENT") grid = LinearGrid(M=eq.M_grid, N=eq.N_grid, NFP=eq.NFP) data = eq.compute("|B|_mn", grid=grid, M_booz=eq.M, N_booz=eq.N) @@ -1477,8 +1477,8 @@ def test_surface_equilibrium_geometry(): """Test that computing stuff from surface gives same result as equilibrium.""" names = ["HELIOTRON"] data = ["A", "V", "a", "R0", "R0/a", "a_major/a_minor"] - # TODO: expand this to include all angular derivatives once they are implemented - # for surfaces + # TODO (#1397): expand this to include all angular derivatives + # once they are implemented for surfaces data_basis_vecs_fourierRZ = [ "e_theta", "e_zeta", diff --git a/tests/test_integrals.py b/tests/test_integrals.py index e254269006..3c76ee66a7 100644 --- a/tests/test_integrals.py +++ b/tests/test_integrals.py @@ -997,8 +997,8 @@ def _fixed_elliptic(integrand, k, deg): quad = integrand(Z, k).dot(w) * grad_bijection_from_disc(a, b) return quad - # TODO: add the analytical test that converts incomplete elliptic integrals to - # complete ones using the Reciprocal Modulus transformation + # TODO (#1398): add the analytical test that converts incomplete elliptic integrals + # to complete ones using the Reciprocal Modulus transformation # https://dlmf.nist.gov/19.7#E4. @staticmethod def elliptic_incomplete(k2): @@ -1240,7 +1240,7 @@ def get_drift_analytic_data(): things = {"grid": grid, "eq": eq} return data, things - # TODO: stellarator geometry test with ripples + # TODO (#1398): stellarator geometry test with ripples @staticmethod def drift_analytic(data): """Compute analytic approximation for bounce-averaged binormal drift. diff --git a/tests/test_linear_objectives.py b/tests/test_linear_objectives.py index 83f9a32936..35df7f9937 100644 --- a/tests/test_linear_objectives.py +++ b/tests/test_linear_objectives.py @@ -56,7 +56,7 @@ from desc.objectives.utils import factorize_linear_constraints from desc.profiles import PowerSeriesProfile -# TODO: check for all bdryR things if work when False is passed in +# TODO (#1348): check for all bdryR things if work when False is passed in # bc empty array indexed will lead to an error @@ -781,7 +781,7 @@ def test_FixMode_passed_target_no_passed_modes_error(): @pytest.mark.unit def test_FixSumModes_passed_target_too_long(): """Test Fixing Modes with more than a size-1 target.""" - # TODO: remove this test if FixSumModes is generalized + # TODO (#1399): remove this test if FixSumModes is generalized # to accept multiple targets and sets of modes at a time eq = Equilibrium(L=3, M=4) with pytest.raises(ValueError): diff --git a/tests/test_objective_funs.py b/tests/test_objective_funs.py index a429358407..ff416eb5c2 100644 --- a/tests/test_objective_funs.py +++ b/tests/test_objective_funs.py @@ -981,7 +981,7 @@ def test(coils, mindist, grid=None, expect_intersect=False, tol=None): grid=LinearGrid(zeta=4), expect_intersect=True, ) - # TODO: move this coil set to conftest? + # TODO (#1400, 914): move this coil set to conftest? @pytest.mark.unit def test_plasma_coil_min_distance(self): @@ -1102,8 +1102,6 @@ def test( coils_fixed=True, ) - # TODO: add more complex test case with a stellarator and/or MixedCoilSet - @pytest.mark.unit def test_quadratic_flux(self): """Test calculation of quadratic flux on the boundary.""" 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W68h9$*XLTQ-`Qo46KdP Date: Mon, 18 Nov 2024 16:43:29 -0500 Subject: [PATCH 7/9] add link to docs in optimizer description --- desc/optimize/optimizer.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/desc/optimize/optimizer.py b/desc/optimize/optimizer.py index 689446fa4e..09f25ed4ee 100644 --- a/desc/optimize/optimizer.py +++ b/desc/optimize/optimizer.py @@ -137,7 +137,9 @@ def optimize( # noqa: C901 Maximum number of iterations. Defaults to 100. options : dict, optional Dictionary of optional keyword arguments to override default solver - settings. See the code for more details. + settings. See the documentation page ``Optimizers Supported`` for + more details (https://desc-docs.readthedocs.io/en/stable/optimizers.html) + to check the options for each specific available optimizer. copy : bool Whether to return the current things or a copy (leaving the original unchanged). From 45373122a2c67bce6331294a064b583caad6cc36 Mon Sep 17 00:00:00 2001 From: Dario Panici Date: Mon, 18 Nov 2024 16:46:10 -0500 Subject: [PATCH 8/9] make comment prettier --- tests/test_axis_limits.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_axis_limits.py b/tests/test_axis_limits.py index e456e84070..27a2008136 100644 --- a/tests/test_axis_limits.py +++ b/tests/test_axis_limits.py @@ -191,8 +191,8 @@ def assert_is_continuous( """ if kwargs is None: kwargs = {} - # TODO ( #671, #1206):currently skip Boozer quants because it needs sym=False grid - # and also, Boozer axis limits are not yet implemented (#1206) + # TODO ( #671, #1206):currently skip Boozer quants because it need sym=False + # grid (#1206) and Boozer axis limits are not yet implemented (#671) names = [ name for name in names From bf0731bceb60e0169384de0ffe67ed86ffb97471 Mon Sep 17 00:00:00 2001 From: Dario Panici Date: Mon, 18 Nov 2024 16:52:43 -0500 Subject: [PATCH 9/9] remove unneeded TODOs --- tests/test_integrals.py | 4 ---- 1 file changed, 4 deletions(-) diff --git a/tests/test_integrals.py b/tests/test_integrals.py index 3c76ee66a7..56168d64e7 100644 --- a/tests/test_integrals.py +++ b/tests/test_integrals.py @@ -997,9 +997,6 @@ def _fixed_elliptic(integrand, k, deg): quad = integrand(Z, k).dot(w) * grad_bijection_from_disc(a, b) return quad - # TODO (#1398): add the analytical test that converts incomplete elliptic integrals - # to complete ones using the Reciprocal Modulus transformation - # https://dlmf.nist.gov/19.7#E4. @staticmethod def elliptic_incomplete(k2): """Calculate elliptic integrals for bounce averaged binormal drift. @@ -1240,7 +1237,6 @@ def get_drift_analytic_data(): things = {"grid": grid, "eq": eq} return data, things - # TODO (#1398): stellarator geometry test with ripples @staticmethod def drift_analytic(data): """Compute analytic approximation for bounce-averaged binormal drift.