[MegaLinter] Apply linters automatic fixes

src/pyrecest/_backend/_shared_numpy/_common.py

@@ -1,9 +1,5 @@
-from pyrecest._backend._dtype_utils import (  # noqa: F401
-    _np_box_binary_scalar as _box_binary_scalar,
-)
-from pyrecest._backend._dtype_utils import (  # noqa: F401
-    _np_box_unary_scalar as _box_unary_scalar,
-)
+from pyrecest._backend._dtype_utils import _np_box_binary_scalar as _box_binary_scalar  # noqa: F401
+from pyrecest._backend._dtype_utils import _np_box_unary_scalar as _box_unary_scalar  # noqa: F401
 from pyrecest._backend._dtype_utils import (
     _pre_add_default_dtype_by_casting,
     _pre_allow_complex_dtype,

src/pyrecest/_backend/autograd/linalg.py

@@ -27,13 +27,7 @@
     is_single_matrix_pd,
 )
 from .._shared_numpy.linalg import logm as _logm
-from .._shared_numpy.linalg import (
-    polar,
-    qr,
-    solve,
-    solve_sylvester,
-    sqrtm,
-)
+from .._shared_numpy.linalg import polar, qr, solve, solve_sylvester, sqrtm
 
 
 def _matrix_transpose(x):

src/pyrecest/_backend/numpy/linalg.py

@@ -24,9 +24,7 @@
     _normalize_fractional_matrix_power_exponent,
 )
 from .._shared_numpy.linalg import fractional_matrix_power as _fractional_matrix_power
-from .._shared_numpy.linalg import (
-    is_single_matrix_pd,
-)
+from .._shared_numpy.linalg import is_single_matrix_pd
 from .._shared_numpy.linalg import logm as _logm
 from .._shared_numpy.linalg import (
     polar,

src/pyrecest/_backend/numpy/random.py

@@ -2,11 +2,7 @@
 
 import numpy as _np
 from numpy.random import default_rng as _default_rng
-from numpy.random import (  # For PyRecEst
-    get_state,
-    seed,
-    set_state,
-)
+from numpy.random import get_state, seed, set_state  # For PyRecEst
 
 from .._shared_numpy.random import (
     _contains_masked_value,

src/pyrecest/_backend/pytorch/__init__.py

@@ -14,7 +14,7 @@
     asarray,
 )
 from torch import broadcast_tensors as broadcast_arrays
-from torch import (  # The ones below are for pyrecest; For Riemannian score-based SDE
+from torch import (
     clip,
     column_stack,
     complex64,
@@ -54,7 +54,7 @@
     rad2deg,
 )
 from torch import repeat_interleave as repeat
-from torch import (  # The ones below are for pyrecest; For Riemannian score-based SDE
+from torch import (
     reshape,
     roll,
     round,

src/pyrecest/distributions/abstract_dirac_distribution.py

@@ -13,31 +13,11 @@
     all,
 )
 from pyrecest.backend import any as backend_any
-from pyrecest.backend import (
-    apply_along_axis,
-    arange,
-    argmax,
-    asarray,
-)
+from pyrecest.backend import apply_along_axis, arange, argmax, asarray
 from pyrecest.backend import copy as backend_copy
-from pyrecest.backend import (
-    exp,
-    int32,
-    int64,
-    isclose,
-    isfinite,
-    log,
-)
+from pyrecest.backend import exp, int32, int64, isclose, isfinite, log
 from pyrecest.backend import max as backend_max
-from pyrecest.backend import (
-    ones,
-    random,
-    reshape,
-    stack,
-    sum,
-    to_numpy,
-    where,
-)
+from pyrecest.backend import ones, random, reshape, stack, sum, to_numpy, where
 
 from .abstract_distribution_type import AbstractDistributionType
 

src/pyrecest/distributions/cart_prod/hypercylindrical_state_space_subdivision_distribution.py

@@ -22,10 +22,7 @@
     reshape,
 )
 from pyrecest.backend import sum as backend_sum
-from pyrecest.backend import (
-    unique,
-    zeros,
-)
+from pyrecest.backend import unique, zeros
 from pyrecest.distributions.cart_prod.abstract_hypercylindrical_distribution import (
     AbstractHypercylindricalDistribution,
 )

src/pyrecest/distributions/cart_prod/hypercylindrical_state_space_subdivision_gaussian_distribution.py

@@ -9,9 +9,7 @@
     log,
 )
 from pyrecest.backend import sum as backend_sum
-from pyrecest.backend import (
-    zeros,
-)
+from pyrecest.backend import zeros
 
 from ..nonperiodic.gaussian_distribution import GaussianDistribution
 from ..nonperiodic.gaussian_mixture import GaussianMixture

src/pyrecest/distributions/cart_prod/state_space_subdivision_gaussian_distribution.py

@@ -6,17 +6,9 @@
     allclose,
 )
 from pyrecest.backend import any as backend_any
-from pyrecest.backend import (
-    argmax,
-    array,
-    asarray,
-    concatenate,
-    stack,
-)
+from pyrecest.backend import argmax, array, asarray, concatenate, stack
 from pyrecest.backend import sum as backend_sum
-from pyrecest.backend import (
-    zeros,
-)
+from pyrecest.backend import zeros
 
 from ..nonperiodic.gaussian_distribution import GaussianDistribution
 from ..nonperiodic.gaussian_mixture import GaussianMixture

src/pyrecest/distributions/circle/piecewise_constant_distribution.py

@@ -12,15 +12,7 @@
     log,
 )
 from pyrecest.backend import max as backend_max
-from pyrecest.backend import (
-    mean,
-    mod,
-    pi,
-    random,
-    sqrt,
-    sum,
-    zeros,
-)
+from pyrecest.backend import mean, mod, pi, random, sqrt, sum, zeros
 
 from .abstract_circular_distribution import AbstractCircularDistribution
 

src/pyrecest/distributions/circle/wrapped_laplace_distribution.py

@@ -7,13 +7,7 @@
     asarray,
 )
 from pyrecest.backend import copy as backend_copy
-from pyrecest.backend import (
-    exp,
-    isfinite,
-    mod,
-    pi,
-    to_numpy,
-)
+from pyrecest.backend import exp, isfinite, mod, pi, to_numpy
 
 from .abstract_circular_distribution import AbstractCircularDistribution
 

src/pyrecest/distributions/conversion.py

@@ -797,9 +797,7 @@ def _validate_conversion_arguments(
         )
 
 
-from . import (  # noqa: F401,E402  pylint: disable=wrong-import-position,unused-import
-    so3_conversion as _so3_conversion,
-)
+from . import so3_conversion as _so3_conversion  # noqa: F401,E402  pylint: disable=wrong-import-position,unused-import
 
 __all__ = [
     "ConversionError",

src/pyrecest/distributions/hypersphere_subset/hyperspherical_uniform_distribution.py

@@ -13,12 +13,7 @@
     pi,
 )
 from pyrecest.backend import random as backend_random
-from pyrecest.backend import (
-    sin,
-    sqrt,
-    stack,
-    where,
-)
+from pyrecest.backend import sin, sqrt, stack, where
 
 from .abstract_hypersphere_subset_uniform_distribution import (
     AbstractHypersphereSubsetUniformDistribution,

src/pyrecest/distributions/nonperiodic/gaussian_distribution.py

@@ -8,9 +8,7 @@
 
 # pylint: disable=no-name-in-module,no-member
 from pyrecest.backend import all as backend_all
-from pyrecest.backend import (
-    allclose,
-)
+from pyrecest.backend import allclose
 from pyrecest.backend import copy as backend_copy
 from pyrecest.backend import (
     exp,

src/pyrecest/distributions/nonperiodic/linear_dirac_distribution.py

@@ -8,15 +8,7 @@
 
 # pylint: disable=no-name-in-module,no-member
 from pyrecest.backend import all as backend_all
-from pyrecest.backend import (
-    asarray,
-    cov,
-    isfinite,
-    ones,
-    reshape,
-    to_numpy,
-    zeros,
-)
+from pyrecest.backend import asarray, cov, isfinite, ones, reshape, to_numpy, zeros
 
 from ..abstract_dirac_distribution import AbstractDiracDistribution
 from .abstract_linear_distribution import AbstractLinearDistribution

src/pyrecest/filters/bingham_filter.py

@@ -3,19 +3,9 @@
 
 import pyrecest.backend
 from pyrecest.backend import all as backend_all
-from pyrecest.backend import (
-    allclose,
-    array,
-    asarray,
-)
+from pyrecest.backend import allclose, array, asarray
 from pyrecest.backend import copy as backend_copy
-from pyrecest.backend import (
-    diag,
-    eye,
-    isclose,
-    isfinite,
-    linalg,
-)
+from pyrecest.backend import diag, eye, isclose, isfinite, linalg
 from pyrecest.distributions.hypersphere_subset.bingham_distribution import (
     BinghamDistribution,
 )

src/pyrecest/filters/goal_conditioned_replay_imm_filter.py

@@ -41,17 +41,9 @@
     log,
 )
 from pyrecest.backend import max as backend_max
-from pyrecest.backend import (
-    maximum,
-    ndim,
-    outer,
-    pi,
-    reshape,
-)
+from pyrecest.backend import maximum, ndim, outer, pi, reshape
 from pyrecest.backend import sum as backend_sum
-from pyrecest.backend import (
-    zeros,
-)
+from pyrecest.backend import zeros
 from pyrecest.distributions import GaussianDistribution, LinearDiracDistribution
 
 from .abstract_filter import AbstractFilter

src/pyrecest/filters/information_form_distributed_kalman_filter.py

@@ -14,11 +14,7 @@
     atleast_2d,
 )
 from pyrecest.backend import copy as backend_copy
-from pyrecest.backend import (
-    eye,
-    linalg,
-    zeros,
-)
+from pyrecest.backend import eye, linalg, zeros
 from pyrecest.distributions import GaussianDistribution
 from pyrecest.protocols.common import BackendArray
 

src/pyrecest/filters/lomem_tracker.py

@@ -19,9 +19,7 @@
     sin,
 )
 from pyrecest.backend import sum as backend_sum
-from pyrecest.backend import (
-    zeros,
-)
+from pyrecest.backend import zeros
 
 from .abstract_extended_object_tracker import AbstractExtendedObjectTracker
 

src/pyrecest/filters/mem_rbpf_tracker.py

@@ -38,11 +38,7 @@
     stack,
 )
 from pyrecest.backend import sum as backend_sum
-from pyrecest.backend import (
-    transpose,
-    where,
-    zeros,
-)
+from pyrecest.backend import transpose, where, zeros
 from pyrecest.numerics import assert_covariance_matrix
 
 from .abstract_extended_object_tracker import AbstractExtendedObjectTracker

src/pyrecest/filters/multi_bernoulli_tracker.py

@@ -7,15 +7,7 @@
 
 # pylint: disable=no-name-in-module,no-member
 from pyrecest.backend import all as backend_all
-from pyrecest.backend import (
-    argmax,
-    array,
-    empty,
-    full,
-    linalg,
-    ndim,
-    stack,
-)
+from pyrecest.backend import argmax, array, empty, full, linalg, ndim, stack
 from pyrecest.distributions import GaussianDistribution
 from scipy.linalg import pinv
 from scipy.stats import chi2

src/pyrecest/filters/multi_hypothesis_tracker.py

@@ -6,22 +6,10 @@
 from operator import index as operator_index
 
 from pyrecest.backend import all as backend_all
-from pyrecest.backend import (
-    argmax,
-    array,
-    asarray,
-    exp,
-    full,
-    linalg,
-)
+from pyrecest.backend import argmax, array, asarray, exp, full, linalg
 from pyrecest.backend import log as backend_log
 from pyrecest.backend import max as backend_max
-from pyrecest.backend import (
-    ndim,
-    pi,
-    sqrt,
-    stack,
-)
+from pyrecest.backend import ndim, pi, sqrt, stack
 from pyrecest.backend import sum as backend_sum
 from pyrecest.distributions import GaussianDistribution
 from pyrecest.utils import murty_k_best_assignments

src/pyrecest/filters/out_of_sequence.py

@@ -19,13 +19,7 @@
     float64,
 )
 from pyrecest.backend import isfinite as backend_isfinite
-from pyrecest.backend import (
-    linalg,
-    maximum,
-    minimum,
-    transpose,
-    where,
-)
+from pyrecest.backend import linalg, maximum, minimum, transpose, where
 from pyrecest.distributions import GaussianDistribution
 
 from .kalman_filter import KalmanFilter

src/pyrecest/filters/relaxed_s3f_circular.py

@@ -18,9 +18,7 @@
 
 import numpy as np
 from pyrecest.backend import abs as backend_abs
-from pyrecest.backend import (
-    all,
-)
+from pyrecest.backend import all
 from pyrecest.backend import angle as backend_angle
 from pyrecest.backend import (
     array,
@@ -37,10 +35,7 @@
     stack,
 )
 from pyrecest.backend import sum as backend_sum
-from pyrecest.backend import (
-    zeros,
-    zeros_like,
-)
+from pyrecest.backend import zeros, zeros_like
 from pyrecest.exceptions import NumericalStabilityError, ShapeError
 from pyrecest.numerics import assert_covariance_matrix