From ef771b9091aabc0adb2937a8c60df558bf4f148b Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 15 Mar 2023 21:54:25 +0100 Subject: [PATCH 01/40] Add axis as a regular attribute of equilibrium --- desc/equilibrium/configuration.py | 91 +++++++++++++++++++++---------- 1 file changed, 61 insertions(+), 30 deletions(-) diff --git a/desc/equilibrium/configuration.py b/desc/equilibrium/configuration.py index 35949e7051..03bd5fc603 100644 --- a/desc/equilibrium/configuration.py +++ b/desc/equilibrium/configuration.py @@ -336,6 +336,7 @@ def __init__( # noqa: C901 - FIXME: break this up into simpler pieces ) else: raise TypeError("Got unknown axis type {}".format(axis)) + self._axis.change_resolution(self.N) # profiles self._pressure = None @@ -556,6 +557,7 @@ def change_resolution(self, L=None, M=None, N=None, NFP=None, *args, **kwargs): p.change_resolution(max(p.basis.L, self.L)) self.surface.change_resolution(self.L, self.M, self.N, NFP=self.NFP) + self.axis.change_resolution(self.N, NFP=self.NFP) self._R_lmn = copy_coeffs(self.R_lmn, old_modes_R, self.R_basis.modes) self._Z_lmn = copy_coeffs(self.Z_lmn, old_modes_Z, self.Z_basis.modes) @@ -685,6 +687,40 @@ def get_profile(self, name, grid=None, **kwargs): x, grid.nodes[grid.unique_rho_idx, 0], grid=grid, name=name ) + def get_axis(self): + """Return a representation for the magnetic axis. + + Returns + ------- + axis : FourierRZCurve + object representing the magnetic axis. + """ + # value of Zernike polynomials at rho=0 for unique radial modes (+/-1) + sign_l = np.atleast_2d(((np.arange(0, self.L + 1, 2) / 2) % 2) * -2 + 1).T + # indices where m=0 + idx0_R = np.where(self.R_basis.modes[:, 1] == 0)[0] + idx0_Z = np.where(self.Z_basis.modes[:, 1] == 0)[0] + # indices where l=0 & m=0 + idx00_R = np.where((self.R_basis.modes[:, :2] == [0, 0]).all(axis=1))[0] + idx00_Z = np.where((self.Z_basis.modes[:, :2] == [0, 0]).all(axis=1))[0] + # this reshaping assumes the FourierZernike bases are sorted + R_n = np.sum( + sign_l * np.reshape(self.R_lmn[idx0_R], (-1, idx00_R.size), order="F"), + axis=0, + ) + modes_R = self.R_basis.modes[idx00_R, 2] + if len(idx00_Z): + Z_n = np.sum( + sign_l * np.reshape(self.Z_lmn[idx0_Z], (-1, idx00_Z.size), order="F"), + axis=0, + ) + modes_Z = self.Z_basis.modes[idx00_Z, 2] + else: # catch cases such as axisymmetry with stellarator symmetry + Z_n = 0 + modes_Z = 0 + axis = FourierRZCurve(R_n, Z_n, modes_R, modes_Z, NFP=self.NFP, sym=self.sym) + return axis + @property def surface(self): """Surface: Geometric surface defining boundary conditions.""" @@ -703,6 +739,24 @@ def surface(self, new): f"surfaces should be of type Surface or a subclass, got {new}" ) + @property + def axis(self): + """Curve: object representing the magnetic axis.""" + return self._axis + + @axis.setter + def axis(self, new): + if isinstance(new, FourierRZCurve): + assert ( + self.sym == new.sym + ), "Surface and Equilibrium must have the same symmetry" + new.change_resolution(self.N) + self._axis = new + else: + raise TypeError( + f"axis should be of type FourierRZCurve or a subclass, got {new}" + ) + @property def spectral_indexing(self): """str: Type of indexing used for the spectral basis.""" @@ -825,41 +879,18 @@ def Ra_n(self): """ndarray: R coefficients for axis Fourier series.""" return self.axis.R_n + @Ra_n.setter + def Ra_n(self, Ra_n): + self.axis.R_n = Ra_n + @property def Za_n(self): """ndarray: Z coefficients for axis Fourier series.""" return self.axis.Z_n - @property - def axis(self): - """Curve: object representing the magnetic axis.""" - # value of Zernike polynomials at rho=0 for unique radial modes (+/-1) - sign_l = np.atleast_2d(((np.arange(0, self.L + 1, 2) / 2) % 2) * -2 + 1).T - # indices where m=0 - idx0_R = np.where(self.R_basis.modes[:, 1] == 0)[0] - idx0_Z = np.where(self.Z_basis.modes[:, 1] == 0)[0] - # indices where l=0 & m=0 - idx00_R = np.where((self.R_basis.modes[:, :2] == [0, 0]).all(axis=1))[0] - idx00_Z = np.where((self.Z_basis.modes[:, :2] == [0, 0]).all(axis=1))[0] - # this reshaping assumes the FourierZernike bases are sorted - R_n = np.sum( - sign_l * np.reshape(self.R_lmn[idx0_R], (-1, idx00_R.size), order="F"), - axis=0, - ) - modes_R = self.R_basis.modes[idx00_R, 2] - if len(idx00_Z): - Z_n = np.sum( - sign_l * np.reshape(self.Z_lmn[idx0_Z], (-1, idx00_Z.size), order="F"), - axis=0, - ) - modes_Z = self.Z_basis.modes[idx00_Z, 2] - else: # catch cases such as axisymmetry with stellarator symmetry - Z_n = 0 - modes_Z = 0 - self._axis = FourierRZCurve( - R_n, Z_n, modes_R, modes_Z, NFP=self.NFP, sym=self.sym - ) - return self._axis + @Za_n.setter + def Za_n(self, Za_n): + self.axis.Z_n = Za_n @property def pressure(self): From 4c2d656072b4e1cbacb48869727073912f232f62 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 15 Mar 2023 21:56:20 +0100 Subject: [PATCH 02/40] Add axis as optimizable attribute, self consistency constraints --- desc/compute/utils.py | 2 + desc/objectives/__init__.py | 2 + desc/objectives/linear_objectives.py | 207 ++++++++++++++++++++++----- desc/objectives/utils.py | 10 +- tests/test_equilibrium.py | 4 +- tests/test_linear_objectives.py | 8 ++ 6 files changed, 192 insertions(+), 41 deletions(-) diff --git a/desc/compute/utils.py b/desc/compute/utils.py index fd1ddcd035..efad52ee7e 100644 --- a/desc/compute/utils.py +++ b/desc/compute/utils.py @@ -24,6 +24,8 @@ "ne_l", "Ti_l", "Zeff_l", + "Ra_n", + "Za_n", "Rb_lmn", "Zb_lmn", ) diff --git a/desc/objectives/__init__.py b/desc/objectives/__init__.py index eae534467b..b4a3ef07fb 100644 --- a/desc/objectives/__init__.py +++ b/desc/objectives/__init__.py @@ -20,6 +20,8 @@ from ._qs import QuasisymmetryBoozer, QuasisymmetryTripleProduct, QuasisymmetryTwoTerm from ._stability import MagneticWell, MercierStability from .linear_objectives import ( + AxisRSelfConsistency, + AxisZSelfConsistency, BoundaryRSelfConsistency, BoundaryZSelfConsistency, FixAtomicNumber, diff --git a/desc/objectives/linear_objectives.py b/desc/objectives/linear_objectives.py index 1e977f5d5d..9f50c71051 100644 --- a/desc/objectives/linear_objectives.py +++ b/desc/objectives/linear_objectives.py @@ -175,6 +175,166 @@ def compute(self, *args, **kwargs): return jnp.dot(self._A, params["Z_lmn"]) - params["Zb_lmn"] +class AxisRSelfConsistency(_Objective): + """Ensure consistency between Zernike and Fourier coefficients on axis. + + Note: this constraint is automatically applied when needed, and does not need to be + included by the user. + + Parameters + ---------- + eq : Equilibrium, optional + Equilibrium that will be optimized to satisfy the Objective. + name : str + Name of the objective function. + + """ + + _scalar = False + _linear = True + _fixed = False + _print_value_fmt = "R axis self consistency error: {:10.3e} (m)" + + def __init__( + self, + eq=None, + name="axis R self consistency", + ): + + self._args = ["R_lmn", "Ra_n"] + super().__init__( + eq=eq, + target=0, + weight=1, + name=name, + normalize=False, + normalize_target=False, + ) + + def build(self, eq, use_jit=False, verbose=1): + """Build constant arrays. + + Parameters + ---------- + eq : Equilibrium, optional + Equilibrium that will be optimized to satisfy the Objective. + use_jit : bool, optional + Whether to just-in-time compile the objective and derivatives. + verbose : int, optional + Level of output. + + """ + R_basis = eq.R_basis + + modes = eq.axis.R_basis.modes + if modes.size > 0: + ns = modes[:, 2] + else: + ns = np.array([[]], dtype=int) + # we need A to be M x N where N is number of modes in R_basis + # and M is the number of modes in the axis (that we are fixing) + self._A = np.zeros((ns.size, R_basis.num_modes)) + self._dim_f = ns.size + + for i, (l, m, n) in enumerate(R_basis.modes): + if m != 0: + continue + if (l // 2) % 2 == 0: + j = np.argwhere(n == ns) + self._A[j, i] = 1 + else: + j = np.argwhere(n == ns) + self._A[j, i] = -1 + + super().build(eq=eq, use_jit=use_jit, verbose=verbose) + + def compute(self, *args, **kwargs): + """Compute axis R self consistency errors.""" + params = self._parse_args(*args, **kwargs) + f = jnp.dot(self._A, params["R_lmn"]) - params["Ra_n"] + return f + + +class AxisZSelfConsistency(_Objective): + """Ensure consistency between Zernike and Fourier coefficients on axis. + + Note: this constraint is automatically applied when needed, and does not need to be + included by the user. + + Parameters + ---------- + eq : Equilibrium, optional + Equilibrium that will be optimized to satisfy the Objective. + name : str + Name of the objective function. + + """ + + _scalar = False + _linear = True + _fixed = False + _print_value_fmt = "Z axis self consistency error: {:10.3e} (m)" + + def __init__( + self, + eq=None, + name="axis Z self consistency", + ): + + self._args = ["Z_lmn", "Za_n"] + super().__init__( + eq=eq, + target=0, + weight=1, + name=name, + normalize=False, + normalize_target=False, + ) + + def build(self, eq, use_jit=False, verbose=1): + """Build constant arrays. + + Parameters + ---------- + eq : Equilibrium, optional + Equilibrium that will be optimized to satisfy the Objective. + use_jit : bool, optional + Whether to just-in-time compile the objective and derivatives. + verbose : int, optional + Level of output. + + """ + Z_basis = eq.Z_basis + + modes = eq.axis.Z_basis.modes + if modes.size > 0: + ns = modes[:, 2] + else: + ns = np.array([[]], dtype=int) + # we need A to be M x N where N is number of modes in R_basis + # and M is the number of modes in the axis (that we are fixing) + self._A = np.zeros((ns.size, Z_basis.num_modes)) + self._dim_f = ns.size + + for i, (l, m, n) in enumerate(Z_basis.modes): + if m != 0: + continue + if (l // 2) % 2 == 0: + j = np.argwhere(n == ns) + self._A[j, i] = 1 + else: + j = np.argwhere(n == ns) + self._A[j, i] = -1 + + super().build(eq=eq, use_jit=use_jit, verbose=verbose) + + def compute(self, *args, **kwargs): + """Compute axis Z self consistency errors.""" + params = self._parse_args(*args, **kwargs) + f = jnp.dot(self._A, params["Z_lmn"]) - params["Za_n"] + return f + + class FixBoundaryR(_Objective): """Boundary condition on the R boundary parameters. @@ -662,7 +822,6 @@ def target_arg(self): return "L_lmn" -# TODO: make base class for FixAxis? class FixAxisR(_Objective): """Fixes magnetic axis R coefficients. @@ -723,8 +882,6 @@ def build(self, eq, use_jit=False, verbose=1): Level of output. """ - R_basis = eq.R_basis - if self._modes is False or self._modes is None: # no modes modes = np.array([[]], dtype=int) idx = np.array([], dtype=int) @@ -760,21 +917,9 @@ def build(self, eq, use_jit=False, verbose=1): ns = modes[:, 2] else: ns = np.array([[]], dtype=int) - # we need A to be M x N where N is number of modes in R_basis - # and M is the number of modes in the axis (that we are fixing) - self._A = np.zeros((ns.size, R_basis.num_modes)) + self._A = np.eye(eq.axis.R_basis.num_modes)[idx, :] self._dim_f = ns.size - for i, (l, m, n) in enumerate(R_basis.modes): - if m != 0: - continue - if (l // 2) % 2 == 0: - j = np.argwhere(n == ns) - self._A[j, i] = 1 - else: - j = np.argwhere(n == ns) - self._A[j, i] = -1 - # use axis parameters as target if needed if self.target is None: self.target = np.zeros(self._dim_f) @@ -793,13 +938,13 @@ def build(self, eq, use_jit=False, verbose=1): super().build(eq=eq, use_jit=use_jit, verbose=verbose) - def compute(self, R_lmn, **kwargs): + def compute(self, Ra_n, **kwargs): """Compute axis R errors. Parameters ---------- - R_lmn : ndarray - Spectral coefficients of R(rho,theta,zeta) + Ra_n : ndarray + Spectral coefficients of R(zeta) on axis Returns ------- @@ -807,7 +952,7 @@ def compute(self, R_lmn, **kwargs): Axis R errors. """ - f = jnp.dot(self._A, R_lmn) + f = jnp.dot(self._A, Ra_n) return f @@ -871,8 +1016,6 @@ def build(self, eq, use_jit=False, verbose=1): Level of output. """ - Z_basis = eq.Z_basis - if self._modes is False or self._modes is None: # no modes modes = np.array([[]], dtype=int) idx = np.array([], dtype=int) @@ -908,19 +1051,9 @@ def build(self, eq, use_jit=False, verbose=1): ns = modes[:, 2] else: ns = np.array([[]], dtype=int) - self._A = np.zeros((ns.size, Z_basis.num_modes)) + self._A = np.eye(eq.axis.Z_basis.num_modes)[idx, :] self._dim_f = ns.size - for i, (l, m, n) in enumerate(Z_basis.modes): - if m != 0: - continue - if (l // 2) % 2 == 0: - j = np.argwhere(n == ns) - self._A[j, i] = 1 - else: - j = np.argwhere(n == ns) - self._A[j, i] = -1 - # use axis parameters as target if needed if self.target is None: self.target = np.zeros(self._dim_f) @@ -939,13 +1072,13 @@ def build(self, eq, use_jit=False, verbose=1): super().build(eq=eq, use_jit=use_jit, verbose=verbose) - def compute(self, Z_lmn, **kwargs): + def compute(self, Za_n, **kwargs): """Compute axis Z errors. Parameters ---------- - Z_lmn : ndarray - Spectral coefficients of Z(rho,theta,zeta) . + Za_n : ndarray + Spectral coefficients of Z(zeta) on axis. Returns ------- @@ -953,7 +1086,7 @@ def compute(self, Z_lmn, **kwargs): Axis Z errors. """ - f = jnp.dot(self._A, Z_lmn) + f = jnp.dot(self._A, Za_n) return f diff --git a/desc/objectives/utils.py b/desc/objectives/utils.py index 6414f90386..ae1a1f3355 100644 --- a/desc/objectives/utils.py +++ b/desc/objectives/utils.py @@ -14,6 +14,8 @@ RadialForceBalance, ) from .linear_objectives import ( + AxisRSelfConsistency, + AxisZSelfConsistency, BoundaryRSelfConsistency, BoundaryZSelfConsistency, FixAtomicNumber, @@ -95,6 +97,10 @@ def _is_any_instance(things, cls): constraints += (BoundaryZSelfConsistency(),) if not _is_any_instance(constraints, FixLambdaGauge): constraints += (FixLambdaGauge(),) + if not _is_any_instance(constraints, AxisRSelfConsistency): + constraints += (AxisRSelfConsistency(),) + if not _is_any_instance(constraints, AxisZSelfConsistency): + constraints += (AxisZSelfConsistency(),) return constraints @@ -115,8 +121,8 @@ def get_fixed_axis_constraints(profiles=True, iota=True): """ constraints = ( - FixAxisR(fixed_boundary=True), - FixAxisZ(fixed_boundary=True), + FixAxisR(), + FixAxisZ(), FixPsi(), ) if profiles: diff --git a/tests/test_equilibrium.py b/tests/test_equilibrium.py index 66573c11af..3206cbe13c 100644 --- a/tests/test_equilibrium.py +++ b/tests/test_equilibrium.py @@ -191,8 +191,8 @@ def test_equilibrium_from_near_axis(): assert eq.is_nested() assert eq.NFP == na.nfp - np.testing.assert_allclose(eq.Ra_n[eq.N : eq.N + 2], na.rc, atol=1e-10) - np.testing.assert_allclose(eq.Za_n[eq.N : eq.N - 2 : -1], na.zs, atol=1e-10) + np.testing.assert_allclose(eq.Ra_n[:2], na.rc, atol=1e-10) + np.testing.assert_allclose(eq.Za_n[-2:], na.zs, atol=1e-10) np.testing.assert_allclose(data["|B|"][0], na.B_mag(r, 0, 0), rtol=2e-2) diff --git a/tests/test_linear_objectives.py b/tests/test_linear_objectives.py index f831ca47e8..bf63b7f034 100644 --- a/tests/test_linear_objectives.py +++ b/tests/test_linear_objectives.py @@ -10,6 +10,8 @@ from desc.grid import LinearGrid from desc.objectives import ( AspectRatio, + AxisRSelfConsistency, + AxisZSelfConsistency, BoundaryRSelfConsistency, BoundaryZSelfConsistency, FixAtomicNumber, @@ -520,6 +522,8 @@ def test_correct_indexing_passed_modes_axis(): constraints = ( FixAxisR(modes=R_modes, normalize=False), FixAxisZ(modes=Z_modes, normalize=False), + AxisRSelfConsistency(), + AxisZSelfConsistency(), FixModeR(modes=np.array([[1, 1, 1], [2, 2, 2]]), normalize=False), FixModeZ(modes=np.array([[1, 1, -1], [2, 2, -2]]), normalize=False), FixSumModesR( @@ -532,6 +536,7 @@ def test_correct_indexing_passed_modes_axis(): for con in constraints: con.build(eq, verbose=0) objective.build(eq) + objective.set_args("Ra_n", "Za_n") from desc.objectives.utils import factorize_linear_constraints xp, A, b, Z, unfixed_idx, project, recover = factorize_linear_constraints( @@ -590,6 +595,8 @@ def test_correct_indexing_passed_modes_and_passed_target_axis(): constraints = ( FixAxisR(modes=R_modes, normalize=False, target=target_R), FixAxisZ(modes=Z_modes, normalize=False, target=target_Z), + AxisRSelfConsistency(), + AxisZSelfConsistency(), FixModeR( modes=np.array([[1, 1, 1], [2, 2, 2]]), target=np.array( @@ -634,6 +641,7 @@ def test_correct_indexing_passed_modes_and_passed_target_axis(): for con in constraints: con.build(eq, verbose=0) objective.build(eq) + objective.set_args("Ra_n", "Za_n") from desc.objectives.utils import factorize_linear_constraints xp, A, b, Z, unfixed_idx, project, recover = factorize_linear_constraints( From fcd8fae8cbdbaa03f0d9bbd3d1a28d7c73c00124 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 15 Mar 2023 21:58:05 +0100 Subject: [PATCH 03/40] Update axis attribute of saved examples --- desc/examples/ARIES-CS_output.h5 | Bin 2781266 -> 2582983 bytes desc/examples/ATF_output.h5 | Bin 1854489 -> 1677953 bytes desc/examples/DSHAPE_CURRENT_output.h5 | Bin 974880 -> 960744 bytes desc/examples/DSHAPE_output.h5 | Bin 974880 -> 960744 bytes desc/examples/ESTELL_output.h5 | Bin 1515598 -> 1415022 bytes desc/examples/HELIOTRON_output.h5 | Bin 1003793 -> 1030521 bytes desc/examples/NCSX_output.h5 | Bin 3109450 -> 2863529 bytes desc/examples/QAS_output.h5 | Bin 2669839 -> 2510167 bytes desc/examples/SOLOVEV_output.h5 | Bin 650984 -> 641560 bytes desc/examples/W7-X_output.h5 | Bin 3500803 -> 3236171 bytes desc/examples/WISTELL-A_output.h5 | Bin 1942753 -> 1837529 bytes desc/examples/precise_QA_output.h5 | Bin 4020724 -> 3980364 bytes desc/examples/precise_QH_output.h5 | Bin 4017915 -> 3977563 bytes 13 files changed, 0 insertions(+), 0 deletions(-) diff --git a/desc/examples/ARIES-CS_output.h5 b/desc/examples/ARIES-CS_output.h5 index 0084bd0c090d6ebd0e717b2979e3c948835bf865..892ac96ce4923b2a42e3f1897f186a3bf66798fb 100644 GIT binary patch delta 131102 zcmb?^33yaR67anDGLxCf!6X5aaAg7n5>OmY16~sjiKsB#5j+M34VMfe7zJfeSF^51 zLWGV7I*3OEk05HIhzz1@bUlK2L|rv_ZM=hLbQk^W=zjBNFbn(t|9l^zs?X}`?&|95 z?s{*uKB&F8f0I^KXuP;^;P%0r97gjCUXk%uZts-S9?7@iZ()5t2MpcE0aN$qi*N49 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zOop!xC)IN40X6AOrhEE|p|z7_<8BsC&}+C2z0QWhgRvGO&|3GIfYxnL%K}BF^ zxAF1YNKl%F9Yi8(Z8|Neb@(q#W7G=LplwF2F`f`10#R${8OV2{))v(Zqt?RXf?D6f zV_IzOU(^GUt^EgNGHOMh6VzJqDT#upwW2-F8pZI?*ZHSAKbh$PltHM~@LwvA3-a)8 zAf2dn!zo+OiKlp!1+~%@%cyl0V*6jv1K-!PxRyevNIjiV>k)hU)Hag-1g8UP{YP5l z^Ou(tN2qo1XOa?8YfKZ8>@l?WA|)eg6&wSSQR`K+D%wx|JMn#`3|Y&KG3jDIy$R)L z#dXHvpc@D4y3jC%=`~&1-B{ln0-3zxJ_J!2pgvJO&?5WN#(iVsz86jaYDM>SF`rIB zV+>I4KPmIc|EDw~BLY6R2a!OuvVw`E>FI_f<3&R>B_m!O><~)FNF9-(7wlhMES|eGzA92j zNiVztZ(yVj{csl5$3Pts>BrDb$a#0z^5Z&`u8gZmPw*KkDu%~RQU7C7ubR|*AU-_Y fk?IAXw>YEe+kkc2GN0JEFNNdS1>XRNisAnQq88*u From 5ada2c32f72b7b6a07c2fa850a0e2d1174f85ba3 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 15 Mar 2023 21:58:27 +0100 Subject: [PATCH 04/40] Prevent options from persisting between solves --- desc/equilibrium/equilibrium.py | 4 ++-- desc/optimize/optimizer.py | 3 ++- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/desc/equilibrium/equilibrium.py b/desc/equilibrium/equilibrium.py index 9f083f99d2..ce34b895ad 100644 --- a/desc/equilibrium/equilibrium.py +++ b/desc/equilibrium/equilibrium.py @@ -432,7 +432,7 @@ def solve( gtol=None, maxiter=50, x_scale="auto", - options={}, + options=None, verbose=1, copy=False, ): @@ -550,7 +550,7 @@ def optimize( gtol=None, maxiter=50, x_scale="auto", - options={}, + options=None, verbose=1, copy=False, ): diff --git a/desc/optimize/optimizer.py b/desc/optimize/optimizer.py index c5c1b58e29..b0a95b369c 100644 --- a/desc/optimize/optimizer.py +++ b/desc/optimize/optimizer.py @@ -76,7 +76,7 @@ def optimize( # noqa: C901 - FIXME: simplify this x_scale="auto", verbose=1, maxiter=None, - options={}, + options=None, ): """Optimize an objective function. @@ -133,6 +133,7 @@ def optimize( # noqa: C901 - FIXME: simplify this """ # TODO: document options timer = Timer() + options = {} if options is None else options wrapper, method = _parse_method(self.method) linear_constraints, nonlinear_constraint = _parse_constraints(constraints) From d07a08b0e963d636bca6d9ca6fc7fc304163c3e5 Mon Sep 17 00:00:00 2001 From: Rory Conlin Date: Wed, 15 Mar 2023 22:13:12 +0100 Subject: [PATCH 05/40] Update baseline images --- tests/baseline/test_1d_iota_radial.png | Bin 9785 -> 9807 bytes tests/baseline/test_2d_g_rz.png | Bin 6068 -> 5948 bytes tests/baseline/test_2d_g_tz.png | Bin 7089 -> 6687 bytes tests/baseline/test_2d_lambda.png | Bin 6878 -> 6881 bytes tests/baseline/test_2d_logF.png | Bin 8922 -> 9108 bytes tests/baseline/test_3d_B.png | Bin 71575 -> 71574 bytes tests/baseline/test_3d_J.png | Bin 79171 -> 78940 bytes tests/baseline/test_3d_rt.png | Bin 69994 -> 69912 bytes tests/baseline/test_3d_rz.png | Bin 62605 -> 62592 bytes tests/baseline/test_3d_tz.png | Bin 76261 -> 77345 bytes tests/baseline/test_fsa_F_normalized.png | Bin 12542 -> 10895 bytes tests/baseline/test_plot_coefficients.png | Bin 28490 -> 28223 bytes tests/baseline/test_plot_comparison.png | Bin 69165 -> 69077 bytes .../test_plot_comparison_no_theta.png | Bin 59427 -> 59462 bytes tests/baseline/test_plot_cov_basis.png | Bin 7183 -> 7207 bytes tests/baseline/test_plot_field_line.png | Bin 58165 -> 58159 bytes tests/baseline/test_plot_field_lines.png | Bin 69731 -> 69700 bytes tests/baseline/test_plot_gradpsi.png | Bin 7120 -> 7106 bytes .../baseline/test_plot_magnetic_pressure.png | Bin 6492 -> 6495 bytes tests/baseline/test_plot_magnetic_tension.png | Bin 6496 -> 6497 bytes tests/baseline/test_plot_normF_2d.png | Bin 7437 -> 7793 bytes tests/baseline/test_plot_normF_section.png | Bin 13620 -> 12264 bytes tests/baseline/test_plot_surfaces.png | Bin 54237 -> 54225 bytes .../baseline/test_plot_surfaces_no_theta.png | Bin 48204 -> 48142 bytes tests/baseline/test_section_F.png | Bin 36773 -> 32002 bytes .../test_section_F_normalized_vac.png | Bin 45950 -> 46681 bytes tests/baseline/test_section_J.png | Bin 28434 -> 33405 bytes tests/baseline/test_section_Z.png | Bin 10159 -> 10146 bytes tests/baseline/test_section_logF.png | Bin 12736 -> 12791 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