Fix `CoregPipeline` to work with `biascorr` methods #424

rhugonnet · 2023-09-01T02:06:12Z

This PR makes CoregPipeline work with BiasCorr classes, and makes Coreg's behaviour consistent with bias_vars at all levels.
It also renames coreg/pipelines.py into coreg/workflows.py to avoid confusion.

In short, regarding core functionalities, this PR:

Adds the bias_vars argument directly into Coreg.fit() and .apply(), and all subclasses to match signature (even if never used in AffineCoreg, checked directly in Coreg.fit() and .apply() and raises a warning if a bias_vars was passed for nothing). This resulted in the removal of BiasCorr.fit() and BiasCorr.apply() that were originally overridding Coreg to define bias_vars.
Renames the bias variable names Coreg._meta["bias_vars"] (that used to be stored during .fit()) into Coreg._meta["bias_var_names"] which can be optionally defined directly at instantiation, e.g. BiasCorr1D(bias_var_names=["slope"]). This allows to explicitly define which variables bias_vars (that are named because passed as a dict) are associated to each bias-correction method in a pipeline. For other cases, it is not necessary and can just use what is passed to fit(). If it is defined, however, the two inputs need to be consistent (or raises an error).
Adds a Coreg class attribute _needs_vars to differentiate between coregistration methods that need bias variables to run (e.g., BiasCorr1D) and those who don't (e.g., NuthKaab or Deramp, even though one is affine and the other non-affine).
Adds a CoregPipeline._parse_bias_vars() method to parse the bias variables needed for a pipeline step (works for both fit and apply), or raise appropriate errors.

For tests, the PR:

Restructures the coregistration tests mirroring the structure of xdem/coreg to sort the big mess!
Adds several pipeline tests to check all combinations of existing Coreg subclasses can be combined, including those requiring a bias_vars,
Adds several tests to check clear errors are appropriately raised for cases where bias_vars is incorrectly defined (in a pipeline or in a single biascorr class),
Adds some other small tests to ensure new class attributes are properly set.

Resolves #413
Resolves #405

Opened #427

erikmannerfelt · 2023-09-01T08:03:42Z

Awesome! Great that you're splitting up the regular coreg and the pipeline/blockwise test cases into multiple classes. That makes it much cleaner! I wonder if they should maybe be in different files, potentially mirroring the coreg submodule structure. I mean, coreg is getting quite big:

Base coreg functionality (including pipelines)
Coreg workflows
Blockwise
Affine co-registration (ICP, NuthKaab, GradientDescending)
All the different types of bias correction
Filters in the future

Maybe it would be better to have multiple test files to make it less of a monster?

rhugonnet · 2023-09-01T18:47:53Z

Agreed! I'll fully mirror the folder structure of xdem/ for consistency.

… related tests

rhugonnet · 2023-09-02T02:48:48Z

Alright, all done following #413 (comment)!
I'll add comments to the PR where things are new (hard to see what changed with the restructuration of tests), and update the PR description! 😄

rhugonnet · 2023-09-02T02:50:36Z

tests/test_coreg/test_base.py

+        # Assert that the combined vertical shift is 2
+        assert pipeline2.to_matrix()[2, 3] == 2.0
+
+    all_coregs = [


New from here to test_pipeline_pts

Looking good !

rhugonnet · 2023-09-02T02:52:26Z

xdem/coreg/base.py

@@ -723,13 +711,28 @@ def __add__(self, other: CoregType) -> CoregPipeline:
            raise ValueError(f"Incompatible add type: {type(other)}. Expected 'Coreg' subclass")
        return CoregPipeline([self, other])

+    @property


This was in the wrong spot (needs to be at Coreg level I think, not Affine/NonAffine!).

rhugonnet · 2023-09-02T02:53:18Z

xdem/coreg/base.py

@@ -1316,13 +1359,55 @@ def copy(self: CoregType) -> CoregType:

        return new_coreg

+    def _parse_bias_vars(self, step: int, bias_vars: dict[str, NDArrayf] | None) -> dict[str, NDArrayf]:


The non-public CoregPipeline method that makes the pipeline work smoothly for both fit and apply

rhugonnet · 2023-09-02T02:55:17Z

xdem/coreg/biascorr.py

            }
            super().__init__(meta=meta_bin_and_fit)  # type: ignore

        # Update attributes
        self._fit_or_bin = fit_or_bin
        self._is_affine = False
-


Used to have these two here to override Coreg.fit() and .apply() (and not only the ._fit_func(), ._apply_func()), but now that bias_vars has been moved to Coreg directly, there is no need for them anymore.

rhugonnet · 2023-09-02T04:07:05Z

Tests all passing, the current error comes from SciPy: scipy/scipy#19103
We need to wait until they release 1.11.3 to get the fix.

adehecq

I didn't manage to look at the tests yet. I will try to do tomorrow. But the changes in the code itself seems alright.
Well done ! 🙌

tests/test_coreg/test_base.py

adehecq · 2023-09-06T08:35:56Z

I just had a look at the tests (as you said not easy to spot the actual changes with all the shuffling around, thanks for pointing to the most important part).
It's all more consistent now and the tests have improved in coverage. Thanks !

adehecq · 2023-09-06T08:47:52Z

Maybe a minor comment. Should we expand the docstrings at the beginning of each coreg submodule to better explain what it contains?
E.g in base.py: """Base coregistration classes to define generic methods and pre/post-processing of input data.""" -> add a short description of the base Coreg class and attributes, the Pipeline and the Blockwise? Or is it too redundant with the doc and or the specific docstrings?

rhugonnet · 2023-09-06T20:26:05Z

Maybe a minor comment. Should we expand the docstrings at the beginning of each coreg submodule to better explain what it contains? E.g in base.py: """Base coregistration classes to define generic methods and pre/post-processing of input data.""" -> add a short description of the base Coreg class and attributes, the Pipeline and the Blockwise? Or is it too redundant with the doc and or the specific docstrings?

Yes, we need to do this! Opened #434

Rename pipelines in workflows and fix bias_vars bug

a3e3553

rhugonnet added 5 commits September 1, 2023 11:22

Restructure coreg tests

9359e7e

Linting

36c7eab

Add bias_var_name optional instantiation, checks in fit and apply and…

e7e61db

… related tests

Write _parse_bias_vars logic for CoregPipeline and add tests

77e2e5d

Linting

8b08c0d

rhugonnet commented Sep 2, 2023

View reviewed changes

Import future annotations in new test modules

2a343b0

rhugonnet requested review from erikmannerfelt and adehecq September 2, 2023 04:07

adehecq approved these changes Sep 4, 2023

View reviewed changes

Merge remote-tracking branch 'upstream/main' into fix_biascorr_pipelines

c33759c

rhugonnet merged commit ed3a7fe into GlacioHack:main Sep 6, 2023
11 checks passed

rhugonnet deleted the fix_biascorr_pipelines branch September 6, 2023 00:10

adehecq reviewed Sep 6, 2023

View reviewed changes

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Minor a posteriori fixes on recent PRs #433

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Improve Coreg docstrings #434

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Fix `CoregPipeline` to work with `biascorr` methods #424

Fix `CoregPipeline` to work with `biascorr` methods #424

rhugonnet commented Sep 1, 2023 •

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adehecq commented Sep 6, 2023

adehecq commented Sep 6, 2023

rhugonnet commented Sep 6, 2023

		@@ -1316,13 +1359,55 @@ def copy(self: CoregType) -> CoregType:

		return new_coreg

		def _parse_bias_vars(self, step: int, bias_vars: dict[str, NDArrayf] \| None) -> dict[str, NDArrayf]:

Fix CoregPipeline to work with biascorr methods #424

Fix CoregPipeline to work with biascorr methods #424

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rhugonnet commented Sep 6, 2023

Fix `CoregPipeline` to work with `biascorr` methods #424

Fix `CoregPipeline` to work with `biascorr` methods #424

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