Drop Python 3.7 Support

.github/workflows/CI-build.yml

@@ -15,7 +15,7 @@ jobs:
       fail-fast: false
       matrix:
         platform: [ubuntu-latest, macos-latest, windows-latest]
-        python: ["3.7", "3.8", "3.9"]
+        python: ["3.8", "3.9"]
 
     steps:
       - uses: actions/checkout@v2

environment.yml

@@ -9,7 +9,7 @@ name: jupyter-tutorials-env
 channels:
   - conda-forge
 dependencies:
-  - python>=3.7
+  - python>=3.8
   - pip
   - pip:
     - -r docs/notebook-requirements.txt

requirements.txt

@@ -12,6 +12,5 @@
 #
 # If you make changes here, make sure to edit setup.cfg as well!
 # =============================================================================
-cached_property; python_version<"3.8"
 numpy>=1.20
 scipy>=1.4

setup.cfg

@@ -20,7 +20,6 @@ classifiers =
     Development Status :: 4 - Beta
     License :: OSI Approved :: MIT License
     Operating System :: OS Independent
-    Programming Language :: Python :: 3.7
     Programming Language :: Python :: 3.8
     Programming Language :: Python :: 3.9
 
@@ -34,13 +33,12 @@ package_dir =
     =src
 # Dependencies of the project (semicolon/line-separated):
 install_requires =
-    cached_property; python_version<"3.8"
     numpy>=1.20
     scipy>=1.4
 # The usage of test_requires is discouraged, see `Dependency Management` docs
 # tests_require = pytest; pytest-cov
 # Require a specific Python version, e.g. Python 2.7 or >= 3.6
-python_requires = >=3.7
+python_requires = >=3.8
 
 [options.packages.find]
 where = src

src/probnum/linalg/solvers/beliefs/_linear_system_belief.py

@@ -4,16 +4,11 @@
 solution or the matrix inverse and any associated hyperparameters.
 """
 
+from functools import cached_property
 from typing import Mapping, Optional
 
 from probnum import randvars
 
-try:
-    # functools.cached_property is only available in Python >=3.8
-    from functools import cached_property
-except ImportError:
-    from cached_property import cached_property
-
 # pylint: disable="invalid-name"
 
 

src/probnum/randprocs/markov/integrator/_ioup.py

@@ -1,14 +1,9 @@
 """Integrated Ornstein-Uhlenbeck processes."""
 import warnings
+from functools import cached_property
 
 import numpy as np
 
-try:
-    # cached_property is only available in Python >=3.8
-    from functools import cached_property
-except ImportError:
-    from cached_property import cached_property
-
 from probnum import randvars
 from probnum.randprocs.markov import _markov_process, continuous
 from probnum.randprocs.markov.integrator import _integrator, _preconditioner
@@ -140,18 +135,18 @@ def __init__(
         )
 
     @cached_property
-    def _drift_matrix(self):
+    def _drift_matrix(self):  # pylint: disable=method-hidden
         drift_matrix_1d = np.diag(np.ones(self.num_derivatives), 1)
         drift_matrix_1d[-1, -1] = -self.driftspeed
         return np.kron(np.eye(self.wiener_process_dimension), drift_matrix_1d)
 
     @cached_property
-    def _force_vector(self):
+    def _force_vector(self):  # pylint: disable=method-hidden
         force_1d = np.zeros(self.num_derivatives + 1)
         return np.kron(np.ones(self.wiener_process_dimension), force_1d)
 
     @cached_property
-    def _dispersion_matrix(self):
+    def _dispersion_matrix(self):  # pylint: disable=method-hidden
         dispersion_matrix_1d = np.zeros(self.num_derivatives + 1)
         dispersion_matrix_1d[-1] = 1.0  # Unit Diffusion
         return np.kron(np.eye(self.wiener_process_dimension), dispersion_matrix_1d).T

src/probnum/randprocs/markov/integrator/_iwp.py

@@ -1,12 +1,7 @@
 """Integrated Brownian motion."""
 
-try:
-    # cached_property is only available in Python >=3.8
-    from functools import cached_property
-except ImportError:
-    from cached_property import cached_property
-
 import warnings
+from functools import cached_property
 
 import numpy as np
 import scipy.special
@@ -135,7 +130,7 @@ def __init__(
         )
 
     @cached_property
-    def _drift_matrix(self):
+    def _drift_matrix(self):  # pylint: disable=method-hidden
         drift_matrix_1d = np.diag(np.ones(self.num_derivatives), 1)
         if config.matrix_free:
             return linops.IdentityKronecker(
@@ -145,11 +140,11 @@ def _drift_matrix(self):
         return np.kron(np.eye(self.wiener_process_dimension), drift_matrix_1d)
 
     @cached_property
-    def _force_vector(self):
+    def _force_vector(self):  # pylint: disable=method-hidden
         return np.zeros((self.wiener_process_dimension * (self.num_derivatives + 1)))
 
     @cached_property
-    def _dispersion_matrix(self):
+    def _dispersion_matrix(self):  # pylint: disable=method-hidden
         dispersion_matrix_1d = np.zeros(self.num_derivatives + 1)
         dispersion_matrix_1d[-1] = 1.0  # Unit diffusion
 

src/probnum/randprocs/markov/integrator/_matern.py

@@ -1,15 +1,10 @@
 """Matern processes."""
 import warnings
+from functools import cached_property
 
 import numpy as np
 import scipy.special
 
-try:
-    # cached_property is only available in Python >=3.8
-    from functools import cached_property
-except ImportError:
-    from cached_property import cached_property
-
 from probnum import randvars
 from probnum.randprocs.markov import _markov_process, continuous
 from probnum.randprocs.markov.integrator import _integrator, _preconditioner
@@ -140,7 +135,7 @@ def __init__(
         )
 
     @cached_property
-    def _drift_matrix(self):
+    def _drift_matrix(self):  # pylint: disable=method-hidden
         drift_matrix = np.diag(np.ones(self.num_derivatives), 1)
         nu = self.num_derivatives + 0.5
         D, lam = self.num_derivatives + 1, np.sqrt(2 * nu) / self.lengthscale
@@ -150,12 +145,12 @@ def _drift_matrix(self):
         return np.kron(np.eye(self.wiener_process_dimension), drift_matrix)
 
     @cached_property
-    def _force_vector(self):
+    def _force_vector(self):  # pylint: disable=method-hidden
         force_1d = np.zeros(self.num_derivatives + 1)
         return np.kron(np.ones(self.wiener_process_dimension), force_1d)
 
     @cached_property
-    def _dispersion_matrix(self):
+    def _dispersion_matrix(self):  # pylint: disable=method-hidden
         dispersion_matrix_1d = np.zeros(self.num_derivatives + 1)
         dispersion_matrix_1d[-1] = 1.0  # Unit diffusion
         return np.kron(np.eye(self.wiener_process_dimension), dispersion_matrix_1d).T

src/probnum/randprocs/markov/integrator/_preconditioner.py

@@ -1,12 +1,7 @@
 """Coordinate changes in state space models."""
 
 import abc
-
-try:
-    # cached_property is only available in Python >=3.8
-    from functools import cached_property
-except ImportError:
-    from cached_property import cached_property
+from functools import cached_property
 
 import numpy as np
 import scipy.special  # for vectorised factorial

src/probnum/randvars/_constant.py

@@ -1,5 +1,6 @@
 """(Almost surely) constant random variables."""
 
+from functools import cached_property
 from typing import Callable, TypeVar
 
 import numpy as np
@@ -10,13 +11,6 @@
 
 from . import _random_variable
 
-try:
-    # functools.cached_property is only available in Python >=3.8
-    from functools import cached_property
-except ImportError:
-    from cached_property import cached_property
-
-
 _ValueType = TypeVar("ValueType")
 
 

src/probnum/randvars/_normal.py

@@ -1,5 +1,6 @@
 """Normally distributed / Gaussian random variables."""
 
+from functools import cached_property
 from typing import Callable, Optional, Union
 
 import numpy as np
@@ -12,13 +13,6 @@
 
 from . import _random_variable
 
-try:
-    # functools.cached_property is only available in Python >=3.8
-    from functools import cached_property
-except ImportError:
-    from cached_property import cached_property
-
-
 _ValueType = Union[np.floating, np.ndarray, linops.LinearOperator]
 
 

src/probnum/randvars/_random_variable.py

@@ -1,19 +1,13 @@
 """Random Variables."""
 
+from functools import cached_property
 from typing import Any, Callable, Dict, Generic, Optional, Tuple, TypeVar, Union
 
 import numpy as np
 
 from probnum import utils as _utils
 from probnum.typing import ArrayIndicesLike, DTypeLike, FloatLike, ShapeLike, ShapeType
 
-try:
-    # functools.cached_property is only available in Python >=3.8
-    from functools import cached_property
-except ImportError:
-    from cached_property import cached_property
-
-
 _ValueType = TypeVar("ValueType")
 
 # pylint: disable="too-many-lines"

src/probnum/randvars/_randomvariablelist.py

@@ -1,17 +1,12 @@
 """List of random variables."""
 
+from functools import cached_property
 from typing import Union
 
 import numpy as np
 
 from probnum import randvars
 
-try:
-    # functools.cached_property is only available in Python >=3.8
-    from functools import cached_property
-except ImportError:
-    from cached_property import cached_property
-
 
 class _RandomVariableList(list):
     """List of RandomVariables with convenient access to means, covariances, etc.