Fix all reportUndefinedVariable

pyproject.toml

@@ -112,7 +112,6 @@ reportUnsupportedDunderAll = "error"
 reportAssertTypeFailure = "none" # TODO
 reportAttributeAccessIssue = "none" # TODO
 reportGeneralTypeIssues = "none" # TODO
-reportUndefinedVariable = "none" # TODO
 
 [tool.mypy]
 # Target oldest supported Python version

stubs/matplotlib/backends/_backend_gtk.pyi

@@ -1,3 +1,5 @@
+# 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._typing import *
 from matplotlib.backend_bases import FigureCanvasBase, FigureManagerBase, NavigationToolbar2, TimerBase, _Backend

stubs/matplotlib/font_manager.pyi

@@ -1,4 +1,5 @@
 import json
+from dataclasses import dataclass
 from functools import lru_cache
 from pathlib import PosixPath
 from typing import Literal

stubs/matplotlib/widgets.pyi

@@ -6,17 +6,21 @@ from typing import Any, Callable, Dict, List, Literal, Mapping, Optional, Sequen
 import matplotlib as mpl
 import numpy as np
 from matplotlib.axes._axes import Axes
-from matplotlib.backend_bases import MouseButton
+from matplotlib.backend_bases import DrawEvent, Event, FigureCanvasBase, KeyEvent, MouseButton, MouseEvent
 from matplotlib.figure import Figure
 from matplotlib.lines import Line2D
 from matplotlib.patches import Ellipse, Rectangle
 from matplotlib.transforms import Affine2D
 from numpy import float64, ndarray
 from numpy.typing import ArrayLike
+from PIL.Image import Image
 
 from . import _api, _docstring, backend_tools, cbook, colors, ticker, transforms
+from ._typing import Color
+from .artist import Artist
 from .lines import Line2D
 from .patches import Circle, Ellipse, Polygon, Rectangle
+from .text import Text
 from .transforms import Affine2D, TransformedPatchPath
 
 class LockDraw:

stubs/networkx/algorithms/planarity.pyi

@@ -3,6 +3,7 @@ from typing import Mapping
 
 from numpy.typing import ArrayLike
 
+from ..classes.digraph import DiGraph
 from ..classes.graph import Graph
 
 __all__ = ["check_planarity", "is_planar", "PlanarEmbedding"]
@@ -43,7 +44,7 @@ class LRPlanarity:
     def sign(self, e): ...
     def sign_recursive(self, e): ...
 
-class PlanarEmbedding(nx.DiGraph):
+class PlanarEmbedding(DiGraph):
     def get_data(self) -> Mapping: ...
     def set_data(self, data: Mapping): ...
     def neighbors_cw_order(self, v): ...

stubs/sklearn/linear_model/_stochastic_gradient.pyi

@@ -22,6 +22,7 @@ from ._sgd_fast import (
     Hinge as Hinge,
     Huber as Huber,
     Log as Log,
+    LossFunction,
     ModifiedHuber as ModifiedHuber,
     SquaredEpsilonInsensitive as SquaredEpsilonInsensitive,
     SquaredHinge as SquaredHinge,

stubs/sympy-stubs/polys/domains/algebraicfield.pyi

@@ -1,7 +1,10 @@
+from typing import Any
+
 from sympy.polys.domains.characteristiczero import CharacteristicZero
 from sympy.polys.domains.field import Field
 from sympy.polys.domains.simpledomain import SimpleDomain
 from sympy.polys.polyclasses import ANP
+from sympy.series import Order
 from sympy.utilities import public
 
 @public

stubs/sympy-stubs/polys/domains/complexfield.pyi

@@ -1,3 +1,5 @@
+from typing import Any, Literal
+
 from sympy.polys.domains.characteristiczero import CharacteristicZero
 from sympy.polys.domains.field import Field
 from sympy.polys.domains.simpledomain import SimpleDomain

stubs/sympy-stubs/polys/domains/expressiondomain.pyi

@@ -1,3 +1,6 @@
+from types import NotImplementedType
+from typing_extensions import Self
+
 from sympy.polys.domains.characteristiczero import CharacteristicZero
 from sympy.polys.domains.domainelement import DomainElement
 from sympy.polys.domains.field import Field
@@ -25,9 +28,9 @@ class ExpressionDomain(Field, CharacteristicZero, SimpleDomain):
         def __neg__(f) -> Self: ...
         def __add__(f, g) -> NotImplementedType | Self: ...
         def __radd__(f, g) -> Self: ...
-        def __sub__(f, g) -> NotImplementedType | Self | Expression: ...
+        def __sub__(f, g) -> NotImplementedType | Self: ...
         def __rsub__(f, g) -> Self: ...
-        def __mul__(f, g) -> NotImplementedType | Any | Self: ...
+        def __mul__(f, g) -> NotImplementedType | Self: ...  # | Expression
         def __rmul__(f, g) -> Self: ...
         def __pow__(f, n) -> Self | NotImplementedType: ...
         def __truediv__(f, g) -> Self | NotImplementedType: ...

stubs/sympy-stubs/polys/domains/expressionrawdomain.pyi

@@ -1,7 +1,10 @@
+from typing_extensions import Self
+
 from sympy.core import Expr
 from sympy.polys.domains.characteristiczero import CharacteristicZero
 from sympy.polys.domains.field import Field
 from sympy.polys.domains.simpledomain import SimpleDomain
+from sympy.series import Order
 from sympy.utilities import public
 
 @public

stubs/sympy-stubs/printing/lambdarepr.pyi

@@ -1,9 +1,8 @@
 from typing import Any
 
+from sympy.printing.numpy import NumPyPrinter  # NumPyPrinter is imported for backward compatibility
 from sympy.printing.pycode import MpmathPrinter, PythonCodePrinter
 
-from .numpy import NumPyPrinter  # NumPyPrinter is imported for backward compatibility
-
 __all__ = [
     "PythonCodePrinter",
     "MpmathPrinter",  # MpmathPrinter is published for backward compatibility

stubs/sympy-stubs/stats/rv_interface.pyi

@@ -9,10 +9,7 @@ from sympy.core.power import Pow
 from sympy.core.relational import Ne, Relational
 from sympy.series.order import Order
 from sympy.sets.sets import FiniteSet, Set
-from sympy.stats.symbolic_multivariate_probability import CrossCovarianceMatrix, ExpectationMatrix, VarianceMatrix
-from sympy.stats.symbolic_probability import CentralMoment, Covariance, Expectation, Moment, Variance
-
-from .rv import (
+from sympy.stats.rv import (
     PSpace,
     cdf,
     characteristic_function,
@@ -33,6 +30,8 @@ from .rv import (
     sampling_density,
     where,
 )
+from sympy.stats.symbolic_multivariate_probability import CrossCovarianceMatrix, ExpectationMatrix, VarianceMatrix
+from sympy.stats.symbolic_probability import CentralMoment, Covariance, Expectation, Moment, Variance
 
 __all__ = [
     "P",

stubs/vispy/visuals/shaders/variable.pyi

@@ -5,6 +5,7 @@ from typing import Literal
 # Distributed under the (new) BSD License. See LICENSE.txt for more info.
 import numpy as np
 
+from ...gloo.globject import GLObject
 from .shader_object import ShaderObject
 
 VARIABLE_TYPES = ...