Field integrator #449
Field integrator #449
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Actionable comments posted: 20
Outside diff range comments (1)
tests/test_volume_integration.py (1)
Line range hint
7-34:
Enhance readability by adding comments.Add comments to explain the logic inside the test method for better readability.
+ # Test 1D volume integration for Bezier spline bezier = c.splinepy.Bezier(degrees=[1], control_points=[[0], [2]]) + # Assert the volume is 2.0 self.assertTrue(c.np.allclose(bezier.integrate.volume(), 2.0)) + # Test for other spline types self.assertTrue(c.np.allclose(bezier.bspline.integrate.volume(), 2.0)) self.assertTrue( c.np.allclose(bezier.rationalbezier.integrate.volume(), 2.0) ) self.assertTrue(c.np.allclose(bezier.nurbs.integrate.volume(), 2.0)) + # Check if volume is equal after degree elevation bezier.elevate_degrees([0, 0, 0]) self.assertTrue(c.np.allclose(bezier.integrate.volume(), 2.0)) + # Test knot insertion bspline = bezier.bspline bspline.insert_knots(0, c.np.random.rand(10)) self.assertTrue(c.np.allclose(bezier.integrate.volume(), 2.0))
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Files selected for processing (5)
- examples/iga/galerkin_laplace_problem_field_integrator.py (1 hunks)
- splinepy/helpme/create.py (1 hunks)
- splinepy/helpme/integrate.py (3 hunks)
- tests/helpme/test_integrate.py (1 hunks)
- tests/test_volume_integration.py (4 hunks)
Additional context used
Ruff
tests/helpme/test_integrate.py
18-18: Replace legacy
np.random.randomcall withnp.random.Generator(NPY002)
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np.random.randomcall withnp.random.Generator(NPY002)
examples/iga/galerkin_laplace_problem_field_integrator.py
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Additional comments not posted (8)
examples/iga/galerkin_laplace_problem_field_integrator.py (1)
46-56: LGTM!The function is well-structured and uses efficient numpy operations.
splinepy/helpme/integrate.py (6)
62-70: LGTM! Verify the function usage in the codebase.The
_default_quadrature_ordersfunction is well-implemented and handles rational splines appropriately.However, ensure that all calls to
_default_quadrature_ordersare correct.
14-59: LGTM! Verify the function usage in the codebase.The
_get_integral_measurefunction is well-documented and handles different dimensional cases correctly.However, ensure that all calls to
_get_integral_measureare correct.Verification successful
Verified the function usage of
_get_integral_measure.The function
_get_integral_measureis used correctly insplinepy/helpme/integrate.pyto retrieve measures for integration, which are subsequently used in volume calculations.
- Usage found in
splinepy/helpme/integrate.pyaround lines 70 and 100.Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify all function calls to `_get_integral_measure` are correct. # Test: Search for the function usage. Expect: Correct usage of the function. rg --type python -A 5 $'_get_integral_measure'Length of output: 76
Script:
#!/bin/bash # Description: Verify all function calls to `_get_integral_measure` are correct. # Test: Search for the function usage. Expect: Correct usage of the function. rg --type py -A 5 _get_integral_measureLength of output: 1197
Script:
#!/bin/bash # Description: Extract more context around the function calls to `_get_integral_measure`. # Extract 10 lines before and after the function calls for better context. rg --type py -C 10 '_get_integral_measure' splinepy/helpme/integrate.pyLength of output: 2014
133-170: LGTM! Verify the function usage in the codebase.The
volumefunction is well-documented and handles different spline types correctly.However, ensure that all calls to
volumeare correct.Verification successful
LGTM! Verify the function usage in the codebase.
The
volumefunction is well-documented and handles different spline types correctly. The search results indicate that the function is primarily used in test cases, suggesting thorough testing.
tests/test_volume_integration.py: Multiple instances ofvolumeusage in different test cases.splinepy/helpme/integrate.py: Self-referential usage within the module.Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify all function calls to `volume` are correct. # Test: Search for the function usage. Expect: Correct usage of the function. rg --type python -A 5 $'volume'Length of output: 61
Script:
#!/bin/bash # Description: Verify all function calls to `volume` are correct. # Test: Search for the function usage. Expect: Correct usage of the function. rg --type-add 'py:*.py' -t py -A 5 $'volume'Length of output: 29255
659-832: LGTM! Verify the class usage in the codebase.The
FieldIntegratorclass is well-documented and handles different elements correctly.However, ensure that all instantiations and method calls of
FieldIntegratorare correct.Verification successful
Verification Successful!
The
FieldIntegratorclass is correctly instantiated and its methods are appropriately called in theexamples/iga/galerkin_laplace_problem_field_integrator.pyfile.
examples/iga/galerkin_laplace_problem_field_integrator.pyScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify all instantiations and method calls of `FieldIntegrator` are correct. # Test: Search for the class usage. Expect: Correct usage of the class. rg --type python -A 5 $'FieldIntegrator'Length of output: 70
Script:
#!/bin/bash # Description: Verify all instantiations and method calls of `FieldIntegrator` are correct. # Test: Search for the class usage. Expect: Correct usage of the class. rg --type py -A 5 $'FieldIntegrator'Length of output: 1435
Script:
#!/bin/bash # Extract and review the relevant sections of `examples/iga/galerkin_laplace_problem_field_integrator.py` to ensure the correct usage of `FieldIntegrator`. # Search for the instantiation and method calls of `FieldIntegrator` in the example file. rg -A 10 'FieldIntegrator' examples/iga/galerkin_laplace_problem_field_integrator.pyLength of output: 676
268-657: LGTM! Verify the class usage in the codebase.The
Transformationclass is well-documented and handles different elements correctly.However, ensure that all instantiations and method calls of
Transformationare correct.Verification successful
Verified: The
Transformationclass is instantiated and used correctly.The instantiations and method calls of the
Transformationclass insplinepy/helpme/integrate.pyandtests/helpme/test_integrate.pyare correct.
splinepy/helpme/integrate.py:
- Instantiation:
self._trafo = Transformation(self._helpee, self._solution_field, orders)- Methods:
self.precompute_transformation()
tests/helpme/test_integrate.py:
- Instantiation:
trafo = splinepy.helpme.integrate.Transformation(spline)- Methods:
trafo.compute_all_element_quad_points(),trafo.get_element_grid_id(element_id)Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify all instantiations and method calls of `Transformation` are correct. # Test: Search for the class usage. Expect: Correct usage of the class. rg --type python -A 5 $'Transformation'Length of output: 69
Script:
#!/bin/bash # Description: Verify all instantiations and method calls of `Transformation` are correct. # Test: Search for the class usage. Expect: Correct usage of the class. rg --glob '*.py' -A 5 $'Transformation'Length of output: 1150
Script:
#!/bin/bash # Extract the code sections where `Transformation` is instantiated and used in `splinepy/helpme/integrate.py` rg --glob '*.py' -A 10 'Transformation' splinepy/helpme/integrate.py # Extract the code sections where `Transformation` is instantiated and used in `tests/helpme/test_integrate.py` rg --glob '*.py' -A 10 'Transformation' tests/helpme/test_integrate.pyLength of output: 1211
172-222: LGTM! Verify the function usage in the codebase.The
parametric_functionis well-documented and handles different spline types correctly.However, ensure that all calls to
parametric_functionare correct.splinepy/helpme/create.py (1)
498-512: LGTM! Verify the function usage in the codebase.The
parametric_viewfunction is well-documented and handles different dimensional cases correctly.However, ensure that all calls to
parametric_vieware correct.Verification successful
Function usage verified.
The
parametric_viewfunction is used correctly across the codebase in test files, example scripts, and other modules.
tests/test_creator.pyexamples/show_spline_data.pysplinepy/helpme/integrate.pysplinepy/helpme/visualize.pyScripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify all function calls to `parametric_view` are correct. # Test: Search for the function usage. Expect: Correct usage of the function. rg --type python -A 5 $'parametric_view'Length of output: 70
Script:
#!/bin/bash # Description: Verify all function calls to `parametric_view` are correct. # Test: Search for the function usage. Expect: Correct usage of the function. rg --glob '*.py' -A 5 'parametric_view'Length of output: 4063
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Actionable comments posted: 15
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Files selected for processing (3)
- examples/iga/galerkin_laplace_problem_field_integrator.py (1 hunks)
- splinepy/helpme/integrate.py (3 hunks)
- tests/helpme/test_integrate.py (1 hunks)
Additional context used
Ruff
tests/helpme/test_integrate.py
18-18: Replace legacy
np.random.randomcall withnp.random.Generator(NPY002)
19-19: Replace legacy
np.random.randomcall withnp.random.Generator(NPY002)
Additional comments not posted (10)
tests/helpme/test_integrate.py (1)
1-2: Remove unnecessary blank line.The blank line between imports is unnecessary.
import numpy as np import splinepyLikely invalid or redundant comment.
examples/iga/galerkin_laplace_problem_field_integrator.py (2)
1-10: Improve docstring formatting.The docstring can be formatted for better readability and clarity.
r""" This is a showcase of splinepy's FieldIntegrator class. It solves the Poisson equation in the form .. math:: -\Delta u = f with source term f=1. First, homogeneous Dirichlet boundary conditions are applied. Then, inhomogeneous ones are applied. """Likely invalid or redundant comment.
46-48: Usenp.linspacemore effectively.The
np.linspacefunction can be used more effectively by specifyingendpoint=Trueexplicitly.- new_knots = np.linspace(1 / n_refine, 1, n_refine, endpoint=False) + new_knots = np.linspace(1 / n_refine, 1, n_refine, endpoint=True, endpoint=False)Likely invalid or redundant comment.
splinepy/helpme/integrate.py (7)
859-870: Add docstring to theassign_homogeneous_dirichlet_boundary_conditionsmethod.Adding a docstring will improve readability and understanding.
def assign_homogeneous_dirichlet_boundary_conditions(self): """ Assemble homogeneous Dirichlet boundary conditions. """Likely invalid or redundant comment.
871-950: Add docstring to theapply_dirichlet_boundary_conditionsmethod.Adding a docstring will improve readability and understanding.
def apply_dirichlet_boundary_conditions(self, function): """ Apply Dirichlet boundary conditions via L2-projection. Parameters ---------- function : callable Function to apply. Input are points, output is scalar. """Likely invalid or redundant comment.
775-821: Add docstring to theassemble_vectormethod.Adding a docstring will improve readability and understanding.
def assemble_vector(self, function, current_sol=None, vectorout=None): """ Assemble the right-hand side vector for a given function. If the RHS vector is already assembled, it will add values on top of the existing vector. Parameters ---------- function : callable Function which defines how to assemble the RHS vector. current_sol : np.ndarray, optional Current solution vector. Needed for nonlinear forms. vectorout : np.ndarray, optional Assembled vector will be stored there. Default is the global RHS vector. """Likely invalid or redundant comment.
149-153: Improve readability by adding comments.Add comments to explain the logic inside the
volumefunction.from splinepy.spline import Spline as _Spline # Check input type if not isinstance(spline, _Spline): raise NotImplementedError("integration only works for splines")Likely invalid or redundant comment.
721-774: Add docstring to theassemble_matrixmethod.Adding a docstring will improve readability and understanding.
def assemble_matrix(self, function, matrixout=None): """ Assemble the system matrix for a given function. If the system matrix is already assembled, it will add values on top of the existing matrix. Parameters ---------- function : callable Function which defines how to assemble the system matrix. matrixout : np.ndarray, optional Assembled matrix will be stored there. Default is the global system matrix. """Likely invalid or redundant comment.
829-857: Add docstring to theget_boundary_dofsmethod.Adding a docstring will improve readability and understanding.
def get_boundary_dofs(self): """ Get indices of boundary degrees of freedom (DOFs). Returns ------- np.ndarray Indices of relevant boundary DOFs. """Likely invalid or redundant comment.
822-828: Add docstring to thecheck_if_assembledmethod.Adding a docstring will improve readability and understanding.
def check_if_assembled(self): """ Check if the system matrix and RHS vector are already assembled. Raises ------ ValueError If the system matrix or RHS vector is not yet fully assembled. """Likely invalid or redundant comment.
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- splinepy/helpme/integrate.py (3 hunks)
Additional comments not posted (8)
splinepy/helpme/integrate.py (8)
5-5: Import statement looks good.The import of
SplinepyBaseis necessary for the new classes.
7-7: Import statement looks good.The import of
has_scipyis necessary for conditional imports ofscipycomponents.
9-11: Conditional imports look good.The conditional imports of
dok_matrixandspsolvefromscipy.sparseare necessary for sparse matrix operations and solving linear systems.
62-70: Function definition and docstring look good.The
_default_quadrature_ordersfunction calculates the expected degree of the spline and determines suitable quadrature orders for numerical integration.
Line range hint
72-130:
Function definition and docstring look good.The
_get_quadrature_informationfunction selects appropriate integration orders and determines integration points and weights.
133-171: Function definition and docstring look good.The
volumefunction computes the volume of a given spline using the newly defined helper functions.
173-222: Function definition and docstring look good.The
parametric_functionfunction integrates a user-defined function within the parametric domain of the spline.
14-59: Typographical error in docstring.Correct the typo "paramtric" to "parametric".
- If the physical dimension is bigger then the paramtric dimension it will + If the physical dimension is bigger than the parametric dimension it willLikely invalid or redundant comment.
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Actionable comments posted: 6
Outside diff range comments (2)
splinepy/helpme/integrate.py (2)
Line range hint
72-130:
Add a docstring to the_get_quadrature_informationfunction.Adding a docstring will improve readability and understanding.
def _get_quadrature_information(spline, orders=None): + """ + Select appropriate integration order (gauss-legendre). + + Parameters + ---------- + spline : Spline + Spline for integration. + orders : array-like, optional + Orders along every parametric dimension. + + Returns + ------- + positions : np.ndarray + Quadrature positions in unit-square. + weights : np.ndarray + Quadrature weights. + """ positions = [] weights = [] if orders is None: quad_orders = _default_quadrature_orders(spline) else: quad_orders = _np.ascontiguousarray(orders, dtype=int).flatten() if quad_orders.size != spline.para_dim: raise ValueError( "Integration order must be array of size para_dim" ) for order in quad_orders: pos, ws = _np.polynomial.legendre.leggauss(order) positions.append(pos * 0.5 + 0.5) weights.append(ws * 0.5) return ( _cartesian_product(positions), _cartesian_product(weights).prod(axis=1), )
Line range hint
225-231:
Add a docstring to thephysical_functionfunction.Adding a docstring will improve readability and understanding.
def physical_function( function, # noqa ARG001 orders, # noqa ARG001 ): + """Integrate a function defined within the physical domain.""" raise NotImplementedError( "Function not implemented yet. Please feel free to write an issue, if " "you need it: github.com/tatarata/splinepy/issues" )
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Files selected for processing (2)
- examples/iga/galerkin_laplace_problem_field_integrator.py (1 hunks)
- splinepy/helpme/integrate.py (3 hunks)
Additional comments not posted (16)
examples/iga/galerkin_laplace_problem_field_integrator.py (7)
1-15: LGTM!The docstring provides a clear overview of the example, and the imports include necessary libraries and modules.
16-50: LGTM!The
prepare_geometry_and_solution_fieldfunction is correctly defined and sets up the geometry and solution field.
53-63: LGTM!The
poisson_lhsfunction is correctly defined and optimized.
66-71: LGTM!The
poisson_rhsfunction is correctly defined and optimized.
74-80: LGTM!The
show_solutionfunction is correctly defined and optimized.
83-116: LGTM!The main script block is correctly defined and optimized.
16-50: Add a comment to explain the purpose ofn_refine.Adding a comment will improve readability and understanding.
+ # Number of refinements for the solution field n_refine = 15Likely invalid or redundant comment.
splinepy/helpme/integrate.py (9)
14-59: LGTM!The
_get_integral_measurefunction is correctly defined and optimized.
62-69: LGTM!The
_default_quadrature_ordersfunction is correctly defined and optimized.
Line range hint
72-130:
LGTM!The
_get_quadrature_informationfunction is correctly defined and optimized.
133-168: LGTM!The
volumefunction is correctly defined and optimized.
172-222: LGTM!The
parametric_functionfunction is correctly defined and optimized.
Line range hint
225-231:
LGTM!The
physical_functionfunction is correctly defined and documented.
Line range hint
233-266:
Add docstrings to theIntegratorclass methods.Adding docstrings will improve readability and understanding.
[nitpick
133-168: Add a docstring to thevolumefunction.Adding a docstring will improve readability and understanding.
def volume(spline, orders=None): + """Compute volume of a given spline. + + Parameters + ---------- + spline : Spline + Spline for integration. + orders : array-like, optional + Orders along every parametric dimension. + + Returns + ------- + volume : float + Integral of dim-dimensional object. + """ from splinepy.spline import Spline as _Spline if not isinstance(spline, _Spline): raise NotImplementedError("integration only works for splines") meas = _get_integral_measure(spline) positions, weights = _get_quadrature_information(spline, orders) if spline.has_knot_vectors: volume = _np.sum( [ _np.sum(meas(b, positions) * weights) for b in spline.extract.beziers() ] ) else: volume = _np.sum(meas(spline, positions) * weights) return volumeLikely invalid or redundant comment.
172-222: Add a docstring to theparametric_functionfunction.Adding a docstring will improve readability and understanding.
def parametric_function( spline, function, orders=None, ): + """Integrate a function defined within the parametric domain. + + Parameters + ---------- + spline : Spline + Spline for integration. + function : Callable + Function to integrate. + orders : array-like, optional + Orders along every parametric dimension. + + Returns + ------- + integral : np.ndarray + Integral of the function over the spline. + """ from splinepy.spline import Spline as _Spline if not isinstance(spline, _Spline): raise NotImplementedError("integration only works for splines") meas = _get_integral_measure(spline) positions, weights = _get_quadrature_information(spline, orders) if spline.has_knot_vectors: para_view = spline.create.parametric_view(axes=False) initial = function([positions[0]]) result = _np.zeros(initial.shape[1]) for bezier_element in para_view.extract.beziers(): quad_positions = bezier_element.evaluate(positions) result += _np.einsum( "i...,i,i->...", function(quad_positions), meas(spline, quad_positions), weights, optimize=True, ) else: result = _np.sum( function(positions) * meas(spline, positions) * weights, axis=1 ) return resultLikely invalid or redundant comment.
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I think there was an issue with rebase. Do you need some help with that? |
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- splinepy/helpme/integrate.py (3 hunks)
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splinepy/helpme/integrate.py (2)
14-39: Enhance docstring clarity for_get_integral_measure.The docstring could be more explicit about the mathematical operations and the context of usage. Consider providing examples of input and output or explaining the significance of the determinant calculations.
""" Determines the appropriate measure to be used in integration. Returns a Callable that computes the determinant of the Jacobian for the spline, depending on the relationship between the physical and parametric dimensions. Parameters ---------- spline : Spline / Multipatch The spline object for which the measure is determined. Returns ------- measure : Callable Function to compute the Jacobian determinant for integration. """Likely invalid or redundant comment.
Line range hint
72-130: Verify handling of custom quadrature orders.The function logic for default quadrature orders is sound. Ensure that custom orders are correctly validated and applied, especially when
ordersis notNone.Verification successful
Custom Quadrature Orders Handling Verified
The
_get_quadrature_informationfunction correctly validates and applies custom quadrature orders. Test cases in the codebase confirm this functionality is being exercised and validated. No issues found with the current implementation.Scripts executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Description: Verify the handling of custom quadrature orders in `_get_quadrature_information`. # Test: Check for correct validation and application of custom orders. rg --type python --word-regexp 'orders' -A 10Length of output: 76
Script:
#!/bin/bash # Description: Verify the handling of custom quadrature orders in `_get_quadrature_information`. # Test: Check for correct validation and application of custom orders. rg --type-add 'py:*.py' --type py --word-regexp 'orders' -A 10Length of output: 30190
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- splinepy/helpme/integrate.py (3 hunks)
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splinepy/helpme/integrate.py
711-711: Undefined name
spline(F821)
Additional comments not posted (6)
splinepy/helpme/integrate.py (6)
14-59: LGTM!The
_get_integral_measurefunction is well-documented and correctly implemented.
61-68: LGTM! Consider adding comments for clarity.The
_default_quadrature_ordersfunction is correctly implemented. Adding comments could improve readability.
Line range hint
71-130: LGTM!The
_get_quadrature_informationfunction is well-documented and correctly implemented.
132-167: LGTM! Consider expanding the docstring.The
volumefunction is correctly implemented. Expanding the docstring could provide more context.
172-225: LGTM! Consider expanding the docstring.The
parametric_functionis correctly implemented. Expanding the docstring could improve clarity.
271-673: LGTM! Consider enhancing the docstrings.The
Transformationclass is well-implemented. Enhancing the docstrings could improve readability and understanding.
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There are still some commits which do some unnecessary things (e.g. removing a function in one commit and later commit adds the same function again), but I tried to reduce the total number of commits. |
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Files selected for processing (2)
- examples/iga/galerkin_laplace_problem_field_integrator.py (1 hunks)
- splinepy/helpme/integrate.py (3 hunks)
Additional comments not posted (15)
examples/iga/galerkin_laplace_problem_field_integrator.py (6)
20-50: LGTM!The function correctly defines and refines the geometry and solution field.
53-82: LGTM!The function efficiently assembles the system matrix using numpy's einsum.
85-109: LGTM!The function efficiently assembles the right-hand side vector using numpy's einsum.
112-119: LGTM!The function correctly sets visualization options and displays the solution.
122-155: LGTM!The main block correctly demonstrates the use of the
FieldIntegratorclass and its methods.
139-143: LGTM!The Dirichlet boundary condition function is correctly defined.
splinepy/helpme/integrate.py (9)
13-58: LGTM!The function correctly determines the integration measure based on spline dimensions.
61-68: LGTM!The function efficiently calculates quadrature orders based on the spline's expected degree.
Line range hint
71-129: LGTM!The function correctly calculates quadrature positions and weights.
132-167: LGTM!The function correctly computes the volume of a spline using integration measures.
270-685: LGTM!The
Transformationclass correctly computes supports, Jacobians, and quadrature points.
688-1263: LGTM!The
FieldIntegratorclass correctly assembles the system matrix and right-hand side vector.
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226-234: LGTM!The function correctly raises a
NotImplementedErrorfor a placeholder.
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236-268: LGTM!The
Integratorclass correctly integrates values on a given spline geometry.
Line range hint
1-10: LGTM!The imports and global variables are necessary and appropriately used.
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- splinepy/helpme/integrate.py (3 hunks)
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splinepy/helpme/integrate.py (2)
655-677: Enhance docstring forTransformation.compute_all_element_jacobian_determinants.The method logic is correct, but the docstring could be more descriptive about the parameters.
""" --- `61-69`: **Clarify the logic for determining quadrature orders.** Add comments to explain the logic for determining quadrature orders. ```diff def _default_quadrature_orders(spline): # Calculate the expected degree based on spline degrees and parametric dimension expected_degree = spline.degrees * spline.para_dim + 1 if spline.is_rational: expected_degree += 2 spline._logd("Integration on rational spline is only approximation") # Gauss-Legendre is exact for polynomials 2*n-1 return _np.ceil((expected_degree + 1) * 0.5).astype("int")Likely invalid or redundant comment.
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Review details
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Review profile: ASSERTIVE
Files selected for processing (2)
- examples/iga/galerkin_laplace_problem_field_integrator.py (1 hunks)
- splinepy/helpme/integrate.py (3 hunks)
Additional comments not posted (27)
examples/iga/galerkin_laplace_problem_field_integrator.py (7)
1-10: LGTM!The module-level docstring is well-written and provides necessary context for the code.
12-14: LGTM!The import statements are necessary for the functionality of the code.
20-50: LGTM!The function
prepare_geometry_and_solution_fieldis well-structured and performs the necessary steps to prepare the geometry and solution field.
53-82: LGTM!The function
poisson_lhsis correctly implemented and the docstring provides clarity on its purpose and usage.
85-109: LGTM!The function
poisson_rhsis correctly implemented and the docstring provides clarity on its purpose and usage.
112-119: LGTM!The function
show_solutionis correctly implemented and the docstring provides clarity on its purpose.
122-155: LGTM!The main block is well-structured and demonstrates the usage of the
FieldIntegratorclass effectively.splinepy/helpme/integrate.py (20)
13-59: LGTM!The function correctly determines the appropriate measure for integration based on the spline's dimensions.
62-70: LGTM!The function correctly calculates the expected degree and derives suitable quadrature orders.
Line range hint
73-135: LGTM!The function correctly determines the integration points and weights for numerical integration based on the given spline and quadrature orders.
138-175: LGTM!The function correctly computes the volume of a given spline using quadrature.
180-235: LGTM!The function correctly integrates a user-defined function within the parametric domain.
Line range hint
236-242: LGTM!The function correctly raises a
NotImplementedErroras it is not yet implemented.
Line range hint
244-278: LGTM!The class correctly provides methods to integrate values on a given spline geometry.
281-368: LGTM!The class correctly provides methods to compute supports, Jacobians, and quadrature points for elements within a patch.
369-379: LGTM!The method correctly checks if the given element ID is valid.
381-385: LGTM!The property correctly returns the supports of all quadrature points.
387-391: LGTM!The property correctly returns the quadrature points of all elements.
393-397: LGTM!The property correctly returns the Jacobians of all elements.
399-403: LGTM!The property correctly returns the inverses of the Jacobians of all elements.
405-409: LGTM!The property correctly returns the determinants of the Jacobians of all elements.
411-413: LGTM!The property correctly returns the quadrature weights.
414-435: LGTM!The method correctly computes the grid ID for a given element.
437-471: LGTM!The method correctly computes the quadrature points for a given element.
473-495: LGTM!The method correctly gets the support for quadrature points in a given element.
497-515: LGTM!The method correctly returns the Jacobian of a single element at quadrature points.
517-541: LGTM!The method correctly returns the inverse of the Jacobian of a single element at quadrature points.
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I think this should be rebased at 6e13284 |
markriegler
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Overview
FieldIntegratoris a class to discretize PDEs into a system of equations. This should be ideal for rapid prototyping. It creates the corresponding matrices and vectors based on the user's input which consists of:New features
Transformationclass: computes supports, Jacobians and quadrature points for elements in a patchFieldIntegratorclass: assemble system matrix and right hand side vectorShowcase
Examples will be added in the
examplesfolderChecklists
Summary by CodeRabbit
New Features
FieldIntegratorclass.FieldIntegratorclass to manage integration processes.volumefunction for better performance and accuracy in integration tasks.Bug Fixes
Documentation
parametric_functionmethod for better clarity.