Fix all reportMissingImports

pyproject.toml

@@ -91,7 +91,6 @@ reportFunctionMemberAccess = "none" # TODO
 reportGeneralTypeIssues = "none" # TODO
 reportInvalidTypeArguments = "none" # TODO
 reportInvalidTypeForm = "none" # TODO
-reportMissingImports = "none" # TODO
 reportUndefinedVariable = "none" # TODO
 reportUnusedVariable = "none" # TODO
 

stubs/matplotlib/axis.pyi

@@ -3,7 +3,6 @@ from datetime import timezone
 from typing import Any, Callable, Literal, Type
 
 import numpy as np
-from units.basic_units import BasicUnit
 
 from .artist import Artist, allow_rasterization
 from .axes import Axes
@@ -185,8 +184,8 @@ class Axis(Artist):
     def update_units(self, data: Any) -> bool: ...
     def have_units(self) -> bool: ...
     def convert_units(self, x): ...
-    def set_units(self, u: None | timezone | float | BasicUnit) -> None: ...
-    def get_units(self) -> None | timezone | float | BasicUnit: ...
+    def set_units(self, u) -> None: ...
+    def get_units(self): ...
     def set_label_text(self, label: str, fontdict: dict = ..., **kwargs): ...
     def set_major_formatter(self, formatter: Formatter | str | Callable) -> None: ...
     def set_minor_formatter(self, formatter: Formatter | str | Callable) -> None: ...

stubs/matplotlib/backends/backend_gtk3.pyi

@@ -1,6 +1,7 @@
 from typing import Callable, Type
 
-from gi.repository import Gtk
+# PyGObject is not easily installable on Windows, let tests pass as-is
+from gi.repository import Gtk  # pyright: ignore[reportMissingImports]
 from matplotlib import backend_tools
 from matplotlib._api import classproperty
 from matplotlib.backend_bases import FigureCanvasBase, ToolContainerBase

stubs/skimage/__init__.pyi

@@ -3,6 +3,7 @@ __version__: str = ...
 submodules: list = ...
 
 from ._shared import lazy as lazy
+from ._shared.tester import PytestTester as PytestTester  # noqa
 from ._shared.version_requirements import ensure_python_version as ensure_python_version
 
 __getattr__, __lazy_dir__, _ = ...
@@ -18,6 +19,4 @@ _STANDARD_MSG: str = ...
 
 def _raise_build_error(e): ...
 
-from skimage._shared.tester import PytestTester as PytestTester  # noqa
-
 test = ...

stubs/skimage/_shared/filters.pyi

@@ -4,10 +4,10 @@ from typing import Literal
 import numpy as np
 from numpy.typing import ArrayLike, NDArray
 from scipy import ndimage as ndi
-from skimage._typing import Scalar
 
-from .._shared import utils
-from .._shared.utils import _supported_float_type, convert_to_float, warn
+from .._typing import Scalar
+from . import utils
+from .utils import _supported_float_type, convert_to_float, warn
 
 @utils.deprecate_multichannel_kwarg(multichannel_position=5)
 def gaussian(

stubs/skimage/feature/_basic_features.pyi

@@ -4,7 +4,8 @@ from itertools import combinations_with_replacement
 
 import numpy as np
 from numpy.typing import NDArray
-from skimage._shared import utils
+
+from .._shared import utils
 
 def _texture_filter(gaussian_filtered): ...
 def _singlescale_basic_features_singlechannel(img, sigma, intensity=True, edges=True, texture=True): ...

stubs/skimage/feature/_cascade.pyi

@@ -0,0 +1,17 @@
+from typing import Any, ClassVar
+
+__reduce_cython__: Any
+__setstate_cython__: Any
+__test__: dict
+
+class Cascade:
+    __pyx_vtable__: ClassVar[Any] = ...
+    eps: Any
+    features_number: Any
+    stages_number: Any
+    stumps_number: Any
+    window_height: Any
+    window_width: Any
+    def __init__(self, *args, **kwargs) -> None: ...
+    def detect_multi_scale(self, *args, **kwargs): ...
+    def __reduce__(self): ...

stubs/skimage/future/graph/_ncut.pyi

@@ -2,7 +2,8 @@ import networkx as nx
 import numpy as np
 from numpy.typing import NDArray
 from scipy import sparse
-from skimage.future.graph.rag import RAG
+
+from .rag import RAG
 
 def DW_matrices(graph: RAG): ...
 def ncut_cost(cut: NDArray, D, W) -> float: ...

stubs/skimage/future/graph/graph_cut.pyi

@@ -2,9 +2,9 @@ import networkx as nx
 import numpy as np
 from numpy.typing import ArrayLike, NDArray
 from scipy.sparse import linalg
-from skimage.future.graph.rag import RAG
 
 from . import _ncut
+from .rag import RAG
 
 def cut_threshold(labels: NDArray, rag: RAG, thresh: float, in_place: bool = True) -> NDArray: ...
 def cut_normalized(

stubs/skimage/future/graph/graph_merge.pyi

@@ -3,7 +3,8 @@ from typing import Callable
 
 import numpy as np
 from numpy.typing import NDArray
-from skimage.future.graph.rag import RAG
+
+from .rag import RAG
 
 def _revalidate_node_edges(rag, node, heap_list): ...
 def _rename_node(graph, node_id, copy_id): ...

stubs/skimage/future/graph/rag.pyi

@@ -5,9 +5,9 @@ import networkx as nx
 import numpy as np
 from numpy.lib.stride_tricks import as_strided
 from scipy import ndimage as ndi, sparse
-from skimage.future.graph.rag import RAG
 
 from ..._shared.version_requirements import require
+from .rag import RAG
 
 def _edge_generator_from_csr(csr_matrix): ...
 def min_weight(graph: RAG, src: int, dst: int, n: int) -> Mapping: ...

stubs/skimage/future/trainable_segmentation.pyi

@@ -1,5 +1,6 @@
 from numpy.typing import NDArray
-from skimage.feature import multiscale_basic_features
+
+from ..feature import multiscale_basic_features
 
 class TrainableSegmenter(object):
     def __init__(self, clf=None, features_func=None): ...

stubs/skimage/measure/_find_contours.pyi

@@ -1,7 +1,8 @@
 from collections import deque
 
 import numpy as np
-from skimage._shared.utils import deprecate_kwarg
+
+from .._shared.utils import deprecate_kwarg
 
 _param_options = ...
 

stubs/skimage/measure/_regionprops.pyi

@@ -8,11 +8,11 @@ import numpy as np
 from numpy.typing import ArrayLike
 from scipy import ndimage as ndi
 from scipy.spatial.distance import pdist
-from skimage.measure._regionprops import RegionProperties
 
 from . import _moments
 from ._find_contours import find_contours
 from ._marching_cubes_lewiner import marching_cubes
+from ._regionprops import RegionProperties
 from ._regionprops_utils import euler_number, perimeter, perimeter_crofton
 
 __all__ = ["regionprops", "euler_number", "perimeter", "perimeter_crofton"]

stubs/skimage/transform/integral.pyi

@@ -1,7 +1,8 @@
 import numpy as np
 from numpy import ndarray
 from numpy.typing import NDArray
-from skimage._typing import Scalar
+
+from .._typing import Scalar
 
 def integral_image(image: NDArray, *, dtype=None) -> NDArray: ...
 def integrate(ii: NDArray, start, end) -> Scalar | np.ndarray: ...

stubs/sklearn/_build_utils/__init__.pyi

@@ -2,8 +2,6 @@ import contextlib as contextlib
 import os as os
 
 import sklearn as sklearn
-from Cython import Tempita as Tempita
-from Cython.Build import cythonize as cythonize
 
 from .._min_dependencies import CYTHON_MIN_VERSION as CYTHON_MIN_VERSION
 from ..externals._packaging.version import parse as parse

stubs/sklearn/utils/estimator_checks.pyi

@@ -11,8 +11,7 @@ from typing import Sequence
 
 import joblib
 import numpy as np
-from _pytest.mark.structures import MarkDecorator
-from pytest.mark import parameterize
+from _pytest.mark.structures import _ParametrizeMarkDecorator
 from scipy import sparse as sparse
 from scipy.stats import rankdata as rankdata
 
@@ -82,7 +81,7 @@ CROSS_DECOMPOSITION: list = ...
 def check_supervised_y_no_nan(name, estimator_orig): ...
 def parametrize_with_checks(
     estimators: Sequence[BaseEstimator],
-) -> MarkDecorator | parameterize: ...
+) -> _ParametrizeMarkDecorator: ...
 def check_estimator(
     estimator: None | BaseEstimator = None,
     generate_only: bool = False,

stubs/sympy-stubs/core/__init__.pyi

@@ -1,12 +1,12 @@
-from sympy.core.add import Add
-from sympy.core.assumptions import assumptions, check_assumptions, common_assumptions, failing_assumptions
-from sympy.core.basic import Atom, Basic
-from sympy.core.cache import cacheit
-from sympy.core.containers import Dict, Tuple
-from sympy.core.evalf import N, PrecisionExhausted, evalf
-from sympy.core.expr import AtomicExpr, Expr, UnevaluatedExpr
-from sympy.core.exprtools import factor_nc, factor_terms, gcd_terms
-from sympy.core.function import (
+from .add import Add
+from .assumptions import assumptions, check_assumptions, common_assumptions, failing_assumptions
+from .basic import Atom, Basic
+from .cache import cacheit
+from .containers import Dict, Tuple
+from .evalf import N, PrecisionExhausted, evalf
+from .expr import AtomicExpr, Expr, UnevaluatedExpr
+from .exprtools import factor_nc, factor_terms, gcd_terms
+from .function import (
     Derivative,
     Function,
     FunctionClass,
@@ -28,11 +28,11 @@ from sympy.core.function import (
     expand_trig,
     nfloat,
 )
-from sympy.core.kind import BooleanKind, NumberKind, UndefinedKind
-from sympy.core.mod import Mod
-from sympy.core.mul import Mul, prod
-from sympy.core.multidimensional import vectorize
-from sympy.core.numbers import (
+from .kind import BooleanKind, NumberKind, UndefinedKind
+from .mod import Mod
+from .mul import Mul, prod
+from .multidimensional import vectorize
+from .numbers import (
     AlgebraicNumber,
     E,
     Float,
@@ -52,9 +52,9 @@ from sympy.core.numbers import (
     seterr,
     zoo,
 )
-from sympy.core.parameters import evaluate
-from sympy.core.power import Pow, integer_log, integer_nthroot
-from sympy.core.relational import (
+from .parameters import evaluate
+from .power import Pow, integer_log, integer_nthroot
+from .relational import (
     Eq,
     Equality,
     Ge,
@@ -69,11 +69,11 @@ from sympy.core.relational import (
     StrictLessThan,
     Unequality,
 )
-from sympy.core.singleton import S
-from sympy.core.sorting import default_sort_key, ordered
-from sympy.core.symbol import Dummy, Symbol, Wild, symbols, var
-from sympy.core.sympify import SympifyError, sympify
-from sympy.core.traversal import bottom_up, postorder_traversal, preorder_traversal, use
+from .singleton import S
+from .sorting import default_sort_key, ordered
+from .symbol import Dummy, Symbol, Wild, symbols, var
+from .sympify import SympifyError, sympify
+from .traversal import bottom_up, postorder_traversal, preorder_traversal, use
 
 Catalan = ...
 EulerGamma = ...

stubs/sympy-stubs/vector/parametricregion.pyi

@@ -2,9 +2,9 @@ from functools import singledispatch
 from typing import Any
 from typing_extensions import Self
 
-from sympy.core import Basic
-from sympy.geometry import Curve, Ellipse, Point, Polygon, Segment
-from sympy.vector import ImplicitRegion
+from ..core import Basic
+from ..geometry import Curve, Ellipse, Point, Polygon, Segment
+from . import ImplicitRegion
 
 class ParametricRegion(Basic):
     def __new__(cls, definition, *bounds) -> Self: ...

stubs/sympy-stubs/vector/scalar.pyi

@@ -1,6 +1,6 @@
 from typing_extensions import Self
 
-from sympy.core import AtomicExpr
+from ..core import AtomicExpr
 
 class BaseScalar(AtomicExpr):
     def __new__(cls, index, system, pretty_str=..., latex_str=...) -> Self: ...

stubs/sympy-stubs/vector/vector.pyi

@@ -1,12 +1,12 @@
 from typing import Any, Callable, Literal
 from typing_extensions import Self
 
-from sympy import ImmutableDenseMatrix, Pow
-from sympy.core.add import Add
-from sympy.core.expr import AtomicExpr, Expr
-from sympy.series.order import Order
-from sympy.vector.basisdependent import BasisDependent, BasisDependentAdd, BasisDependentMul, BasisDependentZero
-from sympy.vector.dyadic import DyadicZero
+from ..core.add import Add
+from ..core.expr import AtomicExpr, Expr
+from ..series.order import Order
+from . import ImmutableDenseMatrix, Pow
+from .basisdependent import BasisDependent, BasisDependentAdd, BasisDependentMul, BasisDependentZero
+from .dyadic import DyadicZero
 
 class Vector(BasisDependent):
     is_scalar = ...

stubs/vispy/app/application.pyi

@@ -11,8 +11,6 @@ import sys
 from .. import config
 from ..util import logger
 from . import backends
-from ._detect_eventloop import _get_running_interactive_framework
-from .backends import BACKEND_NAMES, BACKENDMAP, CORE_BACKENDS, TRIED_BACKENDS
 from .base import BaseApplicationBackend as ApplicationBackend  # noqa
 
 class Application(object):

stubs/vispy/app/canvas.pyi

@@ -10,18 +10,17 @@ from typing import Callable, Mapping
 
 import numpy as np
 from numpy.typing import ArrayLike
-from vispy.app.application import Application
-from vispy.gloo.context import GLContext
-from vispy.scene.widgets.widget import Widget
-from vispy.util.keys import Key
 
 from ..gloo import FrameBuffer, RenderBuffer
 from ..gloo.context import GLContext, forget_canvas, set_current_canvas
+from ..scene.widgets.widget import Widget
 from ..util import config as util_config, logger
 from ..util.dpi import get_dpi
 from ..util.event import EmitterGroup, Event, WarningEmitter
+from ..util.keys import Key
 from ..util.ptime import time
 from . import Application, use_app
+from .application import Application
 
 # todo: add functions for asking about current mouse/keyboard state
 # todo: add hover enter/exit events

stubs/vispy/app/timer.pyi

@@ -0,0 +1,26 @@
+# -*- coding: utf-8 -*-
+# Copyright (c) Vispy Development Team. All Rights Reserved.
+# Distributed under the (new) BSD License. See LICENSE.txt for more info.
+from typing import Any
+
+from . import Application
+from .base import BaseTimerBackend as TimerBackend  # noqa
+
+class Timer:
+    def __init__(self, interval=..., connect=..., iterations=..., start=..., app=...) -> None: ...
+    @property
+    def app(self) -> Application: ...
+    @property
+    def interval(self) -> float: ...
+    @interval.setter
+    def interval(self, val) -> None: ...
+    @property
+    def elapsed(self) -> float: ...
+    @property
+    def running(self) -> bool: ...
+    def start(self, interval=..., iterations=...) -> None: ...
+    def stop(self) -> None: ...
+    @property
+    def native(self) -> Any: ...
+    def connect(self, callback): ...
+    def disconnect(self, callback=...): ...

stubs/vispy/color/colormap.pyi

@@ -2,7 +2,6 @@ import warnings
 from typing import Sequence
 
 import numpy as np
-import vispy.gloo
 from numpy.typing import ArrayLike, NDArray
 
 from .._typing import Scalar

stubs/vispy/geometry/rect.pyi

@@ -1,5 +1,4 @@
 import numpy as np
-from vispy.util.svg.shapes import Rect
 
 class Rect(object):
     def __init__(self, *args, **kwargs): ...

stubs/vispy/io/stl.pyi

@@ -1,7 +1,8 @@
 from typing import IO
 
 import numpy as np
-from vispy._typing import FileLike
+
+from .._typing import FileLike
 
 # -*- coding: utf-8 -*-
 # Copyright (c) 2015 Michael Dawson-Haggerty