Fix mypy errors #16726

rth · 2020-03-19T22:04:14Z

Solves mypy errors and closes #12953

Solving these errors is a pre-requisite to consider adding some light type annotations #16705

The full error log on master can be found below (58 errors),

mypy sklearn/ --ignore-missing-imports
sklearn/externals/_arff.py:331: error: Incompatible types in assignment (expression has type "str", base class "ArffException" defined the type as "None")
sklearn/externals/_arff.py:335: error: Incompatible types in assignment (expression has type "str", base class "ArffException" defined the type as "None")
sklearn/externals/_arff.py:349: error: Incompatible types in assignment (expression has type "str", base class "ArffException" defined the type as "None")
sklearn/externals/_arff.py:386: error: Incompatible types in assignment (expression has type "str", base class "ArffException" defined the type as "None")
sklearn/externals/_arff.py:390: error: Incompatible types in assignment (expression has type "str", base class "ArffException" defined the type as "None")
sklearn/externals/_arff.py:394: error: Incompatible types in assignment (expression has type "str", base class "ArffException" defined the type as "None")
sklearn/utils/fixes.py:54: error: Name 'pinvh' already defined (possibly by an import)
sklearn/utils/fixes.py:151: error: All conditional function variants must have identical signatures
sklearn/utils/fixes.py:173: error: Name 'MaskedArray' already defined on line 159
sklearn/__init__.py:63: error: Cannot determine type of '__SKLEARN_SETUP__'
sklearn/utils/_pprint.py:327: error: "Type[PrettyPrinter]" has no attribute "_dispatch"
sklearn/model_selection/_split.py:2147: error: "Callable[[VarArg(Any), KwArg(Any)], Any]" has no attribute "__test__"
sklearn/svm/_classes.py:973: error: Decorated property not supported
sklearn/svm/_classes.py:980: error: Decorated property not supported
sklearn/svm/_classes.py:1307: error: Decorated property not supported
sklearn/svm/_classes.py:1314: error: Decorated property not supported
sklearn/svm/_base.py:6: error: Module 'sklearn.svm' has no attribute '_libsvm'
sklearn/svm/_base.py:7: error: Module 'sklearn.svm' has no attribute '_liblinear'
sklearn/svm/_base.py:8: error: Module 'sklearn.svm' has no attribute '_libsvm_sparse'
sklearn/linear_model/_stochastic_gradient.py:290: error: Decorated property not supported
sklearn/linear_model/_stochastic_gradient.py:296: error: Decorated property not supported
sklearn/linear_model/_stochastic_gradient.py:302: error: Decorated property not supported
sklearn/linear_model/_stochastic_gradient.py:308: error: Decorated property not supported
sklearn/linear_model/_least_angle.py:22: error: Module 'sklearn.utils' has no attribute 'arrayfuncs'
sklearn/linear_model/_coordinate_descent.py:28: error: Module 'sklearn.linear_model' has no attribute '_cd_fast'
sklearn/covariance/_graph_lasso.py:23: error: Module 'sklearn.linear_model' has no attribute '_cd_fast'
sklearn/manifold/_isomap.py:170: error: Decorated property not supported
sklearn/manifold/_t_sne.py:25: error: Module 'sklearn.manifold' has no attribute '_barnes_hut_tsne'
sklearn/ensemble/_base.py:109: error: Need type annotation for '_required_parameters' (hint: "_required_parameters: List[<type>] = ...")
sklearn/dummy.py:398: error: Decorated property not supported
sklearn/dummy.py:625: error: Decorated property not supported
sklearn/tests/test_random_projection.py:28: error: Unsupported operand types for + ("List[Callable[[Any, Any, Any, Any], Any]]" and "List[Callable[[Any, Any, Any], Any]]")
sklearn/tests/test_random_projection.py:33: error: Unsupported operand types for + ("List[Type[SparseRandomProjection]]" and "List[Type[GaussianRandomProjection]]")
sklearn/experimental/enable_iterative_imputer.py:18: error: Module has no attribute "IterativeImputer"
sklearn/svm/tests/test_svm.py:31: error: Module 'sklearn.svm' has no attribute '_libsvm'
sklearn/manifold/tests/test_t_sne.py:24: error: Module 'sklearn.manifold' has no attribute '_barnes_hut_tsne'
sklearn/impute/tests/test_impute.py:21: error: Module 'sklearn.impute' has no attribute 'IterativeImputer'
sklearn/impute/tests/test_common.py:12: error: Module 'sklearn.impute' has no attribute 'IterativeImputer'
sklearn/experimental/enable_hist_gradient_boosting.py:29: error: Module has no attribute "HistGradientBoostingClassifier"; maybe "GradientBoostingClassifier"?
sklearn/experimental/enable_hist_gradient_boosting.py:30: error: Module has no attribute "HistGradientBoostingRegressor"; maybe "GradientBoostingRegressor"?
sklearn/ensemble/tests/test_forest.py:105: error: Argument 1 to "update" of "dict" has incompatible type "Dict[str, Type[ForestRegressor]]"; expected "Mapping[str, Type[ForestClassifier]]"
sklearn/ensemble/tests/test_forest.py:106: error: Argument 1 to "update" of "dict" has incompatible type "Dict[str, Type[RandomTreesEmbedding]]"; expected "Mapping[str, Type[ForestClassifier]]"
sklearn/ensemble/tests/test_forest.py:109: error: Argument 1 to "update" of "dict" has incompatible type "Dict[str, Type[ForestRegressor]]"; expected "Mapping[str, Type[ForestClassifier]]"
sklearn/ensemble/tests/test_forest.py:1262: error: Variable "sklearn.ensemble.tests.test_forest.DEFAULT_JOBLIB_BACKEND" is not valid as a type
sklearn/ensemble/tests/test_forest.py:1262: note: See https://mypy.readthedocs.io/en/latest/common_issues.html#variables-vs-type-aliases
sklearn/ensemble/tests/test_forest.py:1262: error: Invalid base class "DEFAULT_JOBLIB_BACKEND"
sklearn/tests/test_pipeline.py:38: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingClassifier'; maybe "GradientBoostingClassifier"?
sklearn/tests/test_pipeline.py:1146: error: "_BaseComposition" has no attribute "steps"
sklearn/tests/test_docstring_parameters.py:36: error: Module has no attribute "__path__"
sklearn/model_selection/tests/test_search.py:71: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingClassifier'; maybe "GradientBoostingClassifier"?
sklearn/feature_selection/tests/test_from_model.py:14: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingClassifier'; maybe "GradientBoostingClassifier"?
sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py:12: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingRegressor'; maybe "GradientBoostingRegressor"?
sklearn/ensemble/_hist_gradient_boosting/tests/test_warm_start.py:13: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingClassifier'; maybe "GradientBoostingClassifier"?
sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py:12: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingRegressor'; maybe "GradientBoostingRegressor"?
sklearn/ensemble/_hist_gradient_boosting/tests/test_gradient_boosting.py:13: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingClassifier'; maybe "GradientBoostingClassifier"?
sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py:9: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingRegressor'; maybe "GradientBoostingRegressor"?
sklearn/ensemble/_hist_gradient_boosting/tests/test_compare_lightgbm.py:10: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingClassifier'; maybe "GradientBoostingClassifier"?
sklearn/inspection/tests/test_partial_dependence.py:19: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingClassifier'; maybe "GradientBoostingClassifier"?
sklearn/inspection/tests/test_partial_dependence.py:20: error: Module 'sklearn.ensemble' has no attribute 'HistGradientBoostingRegressor'; maybe "GradientBoostingRegressor"?
Found 58 errors in 31 files (checked 600 source files)

and generally errors are due to mypy not being able to determine type. That's happens very rarely as by default anything unknown is of type Any. In particular following type of errors are found,

mypy needing some help with specifying types manually
unsupported features that can also be ignored such as,
- decorated properties
- importing C extensions (only some, as far as I can tell). Maybe it's due to the way we build them and could deserve more investigation.
- some non standard edge cases in tests that don't matter and where typing can be ignored.

mypy is also added in CI. I don't have strong feeling about it. pandas does this. I would propose to try it and if it's too annoying for any reason in PRs disable it.

CC maybe @thomasjpfan @jnothman

rth · 2020-03-19T22:10:00Z

sklearn/_build_utils/deprecated_modules.py

@@ -271,7 +271,7 @@
 _FILE_CONTENT_TEMPLATE = """
 # THIS FILE WAS AUTOMATICALLY GENERATED BY deprecated_modules.py
 import sys
-from . import {new_module_name}
+from . import {new_module_name}  # type: ignore


These are often C extensions (which raise mypy type errors), and since this module is deprecated it doesn't matter anyway.

rth · 2020-03-19T22:10:21Z

sklearn/dummy.py

@@ -395,7 +395,7 @@ def score(self, X, y, sample_weight=None):
            X = np.zeros(shape=(len(y), 1))
        return super().score(X, y, sample_weight)

-    @deprecated(
+    @deprecated(  # type: ignore


Generally decorators of properties are not supported in mypy

rth · 2020-03-19T22:11:40Z

sklearn/experimental/enable_hist_gradient_boosting.py

+    HistGradientBoostingClassifier  # type: ignore
+)
+ensemble.HistGradientBoostingRegressor = (
+    HistGradientBoostingRegressor  # type: ignore


Errors with a message that module doesn't include HistGradientBoostingRegressor.

rth · 2020-03-19T22:31:04Z

If we want to use type hints, we should also add some documentation for it similar to https://pandas.pydata.org/docs/development/contributing.html?highlight=mypy#type-hints. I would rather not do it in this PR however, so maybe meanwhile we should disable mypy in CI...

adrinjalali

I don't know why a bunch of the places in this PR need the type: ignore directive. Should we put a comment before every single one, or should we put somewhere in maintaners.rst or something and explain where those are needed?

adrinjalali · 2020-03-20T16:19:58Z

azure-pipelines.yml

-    - bash: conda create --name flake8_env --yes flake8
+    - bash: |
+        conda create --name flake8_env --yes python=3.8
+        source activate flake8_env


source activate is deprecated though.

adrinjalali · 2020-03-20T16:24:16Z

sklearn/impute/__init__.py

+if typing.TYPE_CHECKING:
+    # Workaround for type checkers (e.g. mypy) to avoid
+    # import errors for experimenal estimators.
+    # TODO: remove the above check once the estimator is no longer
+    #       experimental.
+    from ._iterative import IterativeImputer  # noqa
+


Should we add this this to where we explain how to have an experimental module? is it in maintainer.rst?

The section on experimental estimators, says to copy and adapt the code from HistGradientBoosting and/or Iterative regressor, which should be no need to more specific documentation, I think.

rth · 2020-03-21T11:18:17Z

Thanks @adrinjalali !

I don't know why a bunch of the places in this PR need the type: ignore directive. Should we put a comment before every single one, or should we put somewhere in maintaners.rst or something and explain where those are needed?

I added a comment above each line where type: ignore was needed. Also applied workaround to remove some number of those.

In the end I also added a sentence about workarounds needed for experimental modules to maintainer.rst and a short section about mypy and type annotations to contributing guide.

ogrisel

LGTM but I do not understand the following:

ogrisel · 2020-03-22T10:23:10Z

sklearn/tests/test_docstring_parameters.py

+        pckg[1] for pckg in walk_packages(
+            prefix='sklearn.',
+            # mypy error: Module has no attribute "__path__"
+            path=sklearn.__path__)  # type: ignore


Why is this causing a typing error?

It's a known mypy issue python/mypy#1422. For now the the workaround is to ignore it. I'll add an inline comment.

ogrisel · 2020-03-22T10:24:49Z

sklearn/manifold/_t_sne.py

@@ -22,7 +22,8 @@
 from ..decomposition import PCA
 from ..metrics.pairwise import pairwise_distances
 from . import _utils
-from . import _barnes_hut_tsne
+# mypy error: Module 'sklearn.manifold' has no attribute '_barnes_hut_tsne'
+from . import _barnes_hut_tsne  # type: ignore


Why is _barnes_hut_tsne causing a typing error?

Why is _barnes_hut_tsne causing a typing error?

There is some mypy issue with importing full C extension modules (but not individual objects from these modules). Couldn't find relevant information in the mypy issue tracker and opened python/mypy#8575

Summary of the above linked mypy issue is that's expected behavour,

Mypy doesn't actually import or interact with C extension code. It can only parse and gain type information from .py and .pyi files.

so it sounds like all C extensions need to be ignored for typing in some way, either explicitly with type: ignore or via the --ignore-missing-import option.

@WillAyd since you worked on this in pandas, what's the current approach for mypy and C extensions there? As far as I can tell pandas doesn't use neither of the above options, and yet I don't see any C extension related errors with mypy pandas or errors about missing stabs for dependencies for that matter such as,

sklearn/cluster/_spectral.py:10: error: Skipping analyzing 'numpy': found module but no type hints or library stubs

that we currently skip in this PR using --ignore-missing-import. Thanks!

For better or worse we set ignore_missing_imports=True in our config, so that this problem is "solved" globally rather than having to ignore individual imports

Ahh, indeed, finally found pandas mypy config. Was previously grepping option names with "-" instead of "_". Thanks for confirming @WillAyd!

For the record, the above mentioned # type: ignore is still necessary since this particular import doesn't get skipped by the global --ignore-missing-import option as discussed in the above linked mypy issue.

thomasjpfan

Thank you @rth

This feels like it can be maintainable. If passing mypy becomes a significant burden for contributors, we can turn it off.

doc/developers/maintainer.rst

rth · 2020-03-24T11:03:38Z

Thanks @thomasjpfan, I added a comment to the documentation about mypy workarounds as you suggested. Please let me know if you have other comments. Also cc @adrinjalali

adrinjalali

Thank you @rth

rth · 2020-03-30T13:40:43Z

Merging with +2; also since I didn't hear much objections to this while it was mentioned in the dev meeting today.

Please ping me if it mypy linting becomes too annoying in PRs.

rth · 2020-03-30T13:42:59Z

Also we should have a discussion in #16705 as to which parts of the code it might be good to add (moderate) type annotations first.

rth added 5 commits March 19, 2020 21:31

Fix mypy errors for missing modules

4c3c346

More fixes

9d98f88

Ignore other mypy errors

009b3a6

Add mypy to CI

b02a660

Lint

03c705d

rth commented Mar 19, 2020

View reviewed changes

rth added 3 commits March 19, 2020 23:13

Fix azure-pipelines.yml

9b34979

A few more fixes

f74a9e6

Improve azure setup

f9acfb8

Fix typo

0550fa7

adrinjalali reviewed Mar 20, 2020

View reviewed changes

rth added 7 commits March 20, 2020 21:05

Use conda-activate

a6b4402

Merge remote-tracking branch 'upstream/master' into fix-mypy-errors

7ae62bf

Add comments for mypy errors

4240601

A few more fixes

648ec89

Lint

3a786c3

Add mypy to the contributings guide

6638f44

Fix typos

d9c607e

Revert workaround for __SKLEARN_SETUP__

5c23b7b

ogrisel approved these changes Mar 22, 2020

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rth mentioned this pull request Mar 22, 2020

Error when importing Cython modules python/mypy#8575

Closed

Add mypy issue reference for ignored __path__ type

6b48955

thomasjpfan reviewed Mar 23, 2020

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doc/developers/maintainer.rst Show resolved Hide resolved

Add note on mypy workarounds

68624e9

adrinjalali approved these changes Mar 24, 2020

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rth merged commit 5a43408 into scikit-learn:master Mar 30, 2020

rth deleted the fix-mypy-errors branch March 30, 2020 13:41

gio8tisu pushed a commit to gio8tisu/scikit-learn that referenced this pull request May 15, 2020

Fix mypy errors (scikit-learn#16726)

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Fix mypy errors #16726

Fix mypy errors #16726

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