run pre-commit run --all

Author: basnijholt

adaptive/__init__.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 from contextlib import suppress
 
 from adaptive import learner, runner, utils

adaptive/_version.py

@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 # This file is part of 'miniver': https://github.com/jbweston/miniver
 #
 import os

adaptive/learner/__init__.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 from contextlib import suppress
 
 from adaptive.learner.average_learner import AverageLearner

adaptive/learner/average_learner.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 from math import sqrt
 
 import numpy as np

adaptive/learner/balancing_learner.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import itertools
 from collections import defaultdict
 from collections.abc import Iterable

adaptive/learner/base_learner.py

@@ -1,10 +1,8 @@
-# -*- coding: utf-8 -*-
-
 import abc
 from contextlib import suppress
 from copy import deepcopy
 
-from adaptive.utils import load, save, _RequireAttrsABCMeta
+from adaptive.utils import _RequireAttrsABCMeta, load, save
 
 
 def uses_nth_neighbors(n):

adaptive/learner/data_saver.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import functools
 from collections import OrderedDict
 

adaptive/learner/integrator_coeffs.py

@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 # Based on an adaptive quadrature algorithm by Pedro Gonnet
 
 from collections import defaultdict

adaptive/learner/integrator_learner.py

@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 # Based on an adaptive quadrature algorithm by Pedro Gonnet
 
 import sys
@@ -572,9 +571,15 @@ def _get_data(self):
         )
 
     def _set_data(self, data):
-        self.priority_split, self.data, self.pending_points, self._stack, x_mapping, self.ivals, self.first_ival = (
-            data
-        )
+        (
+            self.priority_split,
+            self.data,
+            self.pending_points,
+            self._stack,
+            x_mapping,
+            self.ivals,
+            self.first_ival,
+        ) = data
 
         # Add the pending_points to the _stack such that they are evaluated again
         for x in self.pending_points:

adaptive/learner/learner1D.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import itertools
 import math
 from collections.abc import Iterable

adaptive/learner/learner2D.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import itertools
 import warnings
 from collections import OrderedDict

adaptive/learner/learnerND.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import functools
 import itertools
 import random
@@ -340,8 +338,8 @@ def __init__(self, func, bounds, loss_per_simplex=None):
         self._min_value = None
         self._max_value = None
         self._output_multiplier = (
-            1
-        )  # If we do not know anything, do not scale the values
+            1  # If we do not know anything, do not scale the values
+        )
         self._recompute_losses_factor = 1.1
 
         # create a private random number generator with fixed seed

adaptive/learner/skopt_learner.py

@@ -1,13 +1,11 @@
-# -*- coding: utf-8 -*-
-
 import collections
 
 import numpy as np
-from skopt import Optimizer
 
 from adaptive.learner.base_learner import BaseLearner
 from adaptive.notebook_integration import ensure_holoviews
 from adaptive.utils import cache_latest
+from skopt import Optimizer
 
 
 class SKOptLearner(Optimizer, BaseLearner):

adaptive/learner/triangulation.py

@@ -228,7 +228,7 @@ def simplex_volume_in_embedding(vertices) -> float:
     # Make matrix and find volume
     sq_dists_mat = scipy.spatial.distance.squareform(bordered)
 
-    coeff = -(-2) ** (num_verts - 1) * factorial(num_verts - 1) ** 2
+    coeff = -((-2) ** (num_verts - 1)) * factorial(num_verts - 1) ** 2
     vol_square = fast_det(sq_dists_mat) / coeff
 
     if vol_square < 0:

adaptive/notebook_integration.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import asyncio
 import datetime
 import importlib

adaptive/runner.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import abc
 import asyncio
 import concurrent.futures as concurrent

adaptive/tests/test_average_learner.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import random
 
 import numpy as np

adaptive/tests/test_balancing_learner.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import pytest
 
 from adaptive.learner import BalancingLearner, Learner1D

adaptive/tests/test_cquad.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 from functools import partial
 from operator import attrgetter
 

adaptive/tests/test_learner1d.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import random
 
 import numpy as np

adaptive/tests/test_learnernd.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import numpy as np
 import scipy.spatial
 

adaptive/tests/test_learners.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import collections
 import functools as ft
 import inspect
@@ -129,15 +127,15 @@ def linear_with_peak(x, d: uniform(-1, 1)):
 def ring_of_fire(xy, d: uniform(0.2, 1)):
     a = 0.2
     x, y = xy
-    return x + math.exp(-(x ** 2 + y ** 2 - d ** 2) ** 2 / a ** 4)
+    return x + math.exp(-((x ** 2 + y ** 2 - d ** 2) ** 2) / a ** 4)
 
 
 @learn_with(LearnerND, bounds=((-1, 1), (-1, 1), (-1, 1)))
 @learn_with(SequenceLearner, sequence=np.random.rand(1000, 3))
 def sphere_of_fire(xyz, d: uniform(0.2, 1)):
     a = 0.2
     x, y, z = xyz
-    return x + math.exp(-(x ** 2 + y ** 2 + z ** 2 - d ** 2) ** 2 / a ** 4) + z ** 2
+    return x + math.exp(-((x ** 2 + y ** 2 + z ** 2 - d ** 2) ** 2) / a ** 4) + z ** 2
 
 
 @learn_with(SequenceLearner, sequence=range(1000))

adaptive/tests/test_notebook_integration.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import ipykernel.iostream
 import zmq
 

adaptive/tests/test_runner.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import asyncio
 import time
 

adaptive/tests/test_skopt_learner.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import numpy as np
 import pytest
 

adaptive/tests/test_triangulation.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import itertools
 from collections import Counter
 from math import factorial

adaptive/tests/unit/test_learnernd.py

@@ -12,7 +12,7 @@ def ring_of_fire(xy):
     a = 0.2
     d = 0.7
     x, y = xy
-    return x + math.exp(-(x ** 2 + y ** 2 - d ** 2) ** 2 / a ** 4)
+    return x + math.exp(-((x ** 2 + y ** 2 - d ** 2) ** 2) / a ** 4)
 
 
 def test_learnerND_inits_loss_depends_on_neighbors_correctly():

adaptive/tests/unit/test_learnernd_integration.py

@@ -11,7 +11,7 @@
 def ring_of_fire(xy, d=0.75):
     a = 0.2
     x, y = xy
-    return x + math.exp(-(x ** 2 + y ** 2 - d ** 2) ** 2 / a ** 4)
+    return x + math.exp(-((x ** 2 + y ** 2 - d ** 2) ** 2) / a ** 4)
 
 
 def test_learnerND_runs_to_10_points():

adaptive/utils.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 import abc
 import functools
 import gzip

benchmarks/benchmarks/benchmarks.py

@@ -15,7 +15,7 @@ def f_1d(x, offset=offset):
 def f_2d(xy):
     x, y = xy
     a = 0.2
-    return x + np.exp(-(x ** 2 + y ** 2 - 0.75 ** 2) ** 2 / a ** 4)
+    return x + np.exp(-((x ** 2 + y ** 2 - 0.75 ** 2) ** 2) / a ** 4)
 
 
 class TimeLearner1D:

docs/logo.py

@@ -8,7 +8,7 @@
 
 sys.path.insert(0, os.path.abspath(".."))  # to get adaptive on the path
 
-import adaptive  # noqa: E402
+import adaptive  # noqa: E402, isort:skip
 
 holoviews.notebook_extension("matplotlib")
 
@@ -19,7 +19,7 @@ def ring(xy):
 
         x, y = xy
         a = 0.2
-        return x + np.exp(-(x ** 2 + y ** 2 - 0.75 ** 2) ** 2 / a ** 4)
+        return x + np.exp(-((x ** 2 + y ** 2 - 0.75 ** 2) ** 2) / a ** 4)
 
     learner = adaptive.Learner2D(ring, bounds=[(-1, 1), (-1, 1)])
     adaptive.runner.simple(learner, goal=lambda l: l.loss() < 0.01)

docs/source/conf.py

@@ -1,4 +1,3 @@
-# -*- coding: utf-8 -*-
 #
 # Configuration file for the Sphinx documentation builder.
 #
@@ -18,12 +17,11 @@
 package_path = os.path.abspath("../..")
 # Insert into sys.path so that we can import adaptive here
 sys.path.insert(0, package_path)
-
-import adaptive  # noqa: E402
-
 # Insert into PYTHONPATH so that jupyter-sphinx will pick it up
 os.environ["PYTHONPATH"] = ":".join((package_path, os.environ.get("PYTHONPATH", "")))
 
+import adaptive  # noqa: E402, isort:skip
+
 # -- Project information -----------------------------------------------------
 
 project = "adaptive"

setup.py

@@ -1,5 +1,4 @@
 #!/usr/bin/env python3
-# -*- coding: utf-8 -*-
 
 import sys