fix: Memory leak

.github/workflows/docs.yml

@@ -36,6 +36,7 @@ jobs:
 
     - name: Install dependencies
       run: |
+        pip install build
         pip install ".[dev]"
 
     - name: Make docs

.github/workflows/pytest.yml

@@ -159,9 +159,9 @@ jobs:
     - name: Create sdist
       id: sdist
       run: |
-        python -m pip install --upgrade pip
-        python setup.py sdist
-        echo "sdist_name=$(ls -t dist/${{ env.package-name }}-*.tar.gz | head -n 1)" >> $GITHUB_ENV
+        python -m pip install --upgrade pip build
+        python -m build --sdist
+        echo "sdist_name=$(ls -t dist/${{ env.package-name }}-*.tar.gz | head -n 1)" >> "$GITHUB_ENV"
 
     - name: Install ${{ env.package-name }}
       run: |

.github/workflows/release.yml

@@ -184,9 +184,9 @@ jobs:
 
       - name: Build source distribution
         run: |
-          python -m pip install --upgrade pip
-          python setup.py sdist
-          echo "sdist_name=$(ls -t dist/${{ env.package-name }}-*.tar.gz | head -n 1)" >> $GITHUB_ENV
+          python -m pip install --upgrade pip build
+          python build --sdist
+          echo "sdist_name=$(ls -t dist/${{ env.package-name }}-*.tar.gz | head -n 1)" >> "$GITHUB_ENV"
 
       - name: Twine check ${{ env.package-name }}
         run: |

.pre-commit-config.yaml

@@ -7,8 +7,8 @@ repos:
         name: mypy ConfigSpace
         files: ConfigSpace
 
-  - repo: https://gitlab.com/pycqa/flake8
-    rev: 4.0.1
+  - repo: https://github.com/pycqa/flake8
+    rev: 5.0.4
     hooks:
       - id: flake8
         name: flake8 ConfigSpace

ConfigSpace/__init__.py

@@ -29,8 +29,6 @@
 from ConfigSpace.__version__ import __version__
 from ConfigSpace.__authors__ import __authors__
 
-import ConfigSpace.api.distributions as distributions
-import ConfigSpace.api.types as types
 from ConfigSpace.api import (Beta, Categorical, Distribution, Float, Integer,
                              Normal, Uniform)
 from ConfigSpace.conditions import (AndConjunction, EqualsCondition,
@@ -53,6 +51,8 @@
                                          UniformFloatHyperparameter,
                                          UniformIntegerHyperparameter,
                                          UnParametrizedHyperparameter)
+import ConfigSpace.api.distributions as distributions
+import ConfigSpace.api.types as types
 
 __all__ = [
     "__authors__",

ConfigSpace/c_util.pyx

@@ -1,5 +1,3 @@
-# cython: language_level=3
-
 from collections import deque
 
 import numpy as np

ConfigSpace/conditions.pxd

@@ -1,5 +1,3 @@
-# cython: language_level=3
-
 import numpy as np
 cimport numpy as np
 

ConfigSpace/conditions.pyx

@@ -26,8 +26,6 @@
 # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
-# cython: language_level=3
-
 import io
 from functools import reduce
 from abc import ABCMeta, abstractmethod

ConfigSpace/configuration_space.pyx

@@ -26,8 +26,6 @@
 # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
-# cython: language_level=3
-
 import collections.abc
 from collections import defaultdict, deque, OrderedDict
 import copy

ConfigSpace/forbidden.pxd

@@ -1,5 +1,3 @@
-# cython: language_level=3
-
 import numpy as np
 cimport numpy as np
 

ConfigSpace/forbidden.pyx

@@ -26,8 +26,6 @@
 # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
 # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 
-# cython: language_level=3
-
 import copy
 import numpy as np
 import io

ConfigSpace/functional.py

@@ -0,0 +1,81 @@
+from typing import Iterator
+
+from more_itertools import roundrobin
+import numpy as np
+
+
+def center_range(
+    center: int,
+    low: int,
+    high: int,
+    step: int = 1,
+) -> Iterator[int]:
+    """Get a range centered around a value.
+
+    >>> list(center_range(5, 0, 10))
+    [4, 6, 3, 7, 2, 8, 1, 9, 0, 10]
+
+    Parameters
+    ----------
+    center: int
+        The center of the range
+
+    low: int
+        The low end of the range
+
+    high: int
+        The high end of the range
+
+    step: int = 1
+        The step size
+
+    Returns
+    -------
+    Iterator[int]
+    """
+    assert low <= center <= high
+    above_center = range(center + step, high + 1, step)
+    below_center = range(center - step, low - 1, -step)
+    yield from roundrobin(below_center, above_center)
+
+
+def arange_chunked(
+    start: int,
+    stop: int,
+    step: int = 1,
+    *,
+    chunk_size: int,
+) -> Iterator[np.ndarray]:
+    """Get np.arange in a chunked fashion.
+
+    >>> list(arange_chunked(0, 10, 3))
+    [array([0, 1, 2]), array([3, 4, 5]), array([6, 7, 8]), array([9])]
+
+    Parameters
+    ----------
+    start: int
+        The start of the range
+
+    stop: int
+        The stop of the range
+
+    chunk_size: int
+        The size of the chunks
+
+    step: int = 1
+        The step size
+
+    Returns
+    -------
+    Iterator[np.ndarray]
+    """
+    assert step > 0
+    assert chunk_size > 0
+    assert start < stop
+    n_items = int(np.ceil((stop - start) / step))
+    n_chunks = int(np.ceil(n_items / chunk_size))
+
+    for chunk in range(0, n_chunks):
+        chunk_start = start + (chunk * chunk_size)
+        chunk_stop = min(chunk_start + chunk_size, stop)
+        yield np.arange(chunk_start, chunk_stop, step)

ConfigSpace/hyperparameters.pxd

@@ -1,4 +1,3 @@
-# cython: language_level=3
 from typing import Union
 import numpy as np
 cimport numpy as np