Merge pull request #69 from ManuelNavarroGarcia/upgrade_black

Upgrade `black`

Author: ManuelNavarroGarcia

cpsplines/fittings/fit_cpsplines.py

@@ -33,7 +33,6 @@ class NumericalError(Exception):
 
 
 class CPsplines:
-
     """
     Create the constrained P-splines model when data are in array form. The
     objective function of the optimization problem is defined using the approach

cpsplines/graphics/plot_curves.py

@@ -8,7 +8,6 @@
 
 
 class CurvesDisplay:
-
     """Fitted curve visualization.
 
     Parameters

cpsplines/mosek_functions/interval_constraints.py

@@ -10,7 +10,6 @@
 
 
 class IntConstraints:
-
     """
     Define the set of constraints that ensures the non-negativity (or
     non-positivity) for the derivative order `derivative` along the respective

cpsplines/mosek_functions/obj_function.py

@@ -12,7 +12,6 @@
 
 
 class ObjectiveFunction:
-
     """
     Define the objective function of the optimization problem. The initial
     convex quadratically optimization problem is reformulated as an equivalent

cpsplines/mosek_functions/pdf_constraints.py

@@ -8,7 +8,6 @@
 
 
 class PDFConstraint:
-
     """
     Define the constraints that characterize a Probability Density Function,
     i.e., it must be non-negative and must integrate to one. For the first, only

cpsplines/mosek_functions/point_constraints.py

@@ -9,7 +9,6 @@
 
 
 class PointConstraints:
-
     """
     Define the constraints that the smoothing (or a derivative in a particular
     direction) at a certain point must be equal, above or below a target value.

cpsplines/psplines/bspline_basis.py

@@ -6,7 +6,6 @@
 
 
 class BsplineBasis:
-
     """
     Generate a univariate uniform B-spline basis from a regressor vector. The
     knot sequence is defined using `n_int + 2 * deg + 1` evenly spaced knots so

cpsplines/psplines/penalty_matrix.py

@@ -3,7 +3,6 @@
 
 
 class PenaltyMatrix:
-
     """
     Constructs the penalty matrix of the P-splines (Eilers, P. H., Marx, B. D.
     (1996)) given a B-spline basis. Standard P-splines use a penalty that is

cpsplines/utils/normalize_data.py

@@ -4,7 +4,6 @@
 
 
 class DataNormalizer:
-
     """
     Transform a numeric array by scaling it to a given range. To scale the array
     between an arbitrary set of values [a, b], the transformation used is

cpsplines/utils/simulator_optimize.py

@@ -3,7 +3,6 @@
 
 
 class Simulator:
-
     """
     A callback function to display the current value of the arguments and the
     value of the objective function at each iteration. Based on the class

requirements.txt

@@ -6,21 +6,21 @@
 #
 asttokens==2.4.1
     # via stack-data
-black[jupyter]==23.11.0
+black[jupyter]==24.3.0
     # via cpsplines (setup.py)
-build==1.0.3
+build==1.1.1
     # via pip-tools
 click==8.1.7
     # via
     #   black
     #   pip-tools
-comm==0.2.0
+comm==0.2.2
     # via ipykernel
 contourpy==1.2.0
     # via matplotlib
 cycler==0.12.1
     # via matplotlib
-debugpy==1.8.0
+debugpy==1.8.1
     # via ipykernel
 decorator==5.1.1
     # via ipython
@@ -30,17 +30,17 @@ exceptiongroup==1.2.0
     #   pytest
 executing==2.0.1
     # via stack-data
-fonttools==4.46.0
+fonttools==4.50.0
     # via matplotlib
-importlib-metadata==7.0.0
+importlib-metadata==7.1.0
     # via
     #   build
     #   jupyter-client
-importlib-resources==6.1.1
+importlib-resources==6.4.0
     # via matplotlib
 iniconfig==2.0.0
     # via pytest
-ipykernel==6.27.1
+ipykernel==6.29.3
     # via cpsplines (setup.py)
 ipython==8.18.1
     # via
@@ -50,31 +50,31 @@ jedi==0.19.1
     # via ipython
 joblib==1.3.2
     # via cpsplines (setup.py)
-jupyter-client==8.6.0
+jupyter-client==8.6.1
     # via ipykernel
-jupyter-core==5.5.0
+jupyter-core==5.7.2
     # via
     #   ipykernel
     #   jupyter-client
 kiwisolver==1.4.5
     # via matplotlib
-matplotlib==3.8.2
+matplotlib==3.8.3
     # via cpsplines (setup.py)
 matplotlib-inline==0.1.6
     # via
     #   ipykernel
     #   ipython
-mosek==10.1.21
+mosek==10.1.28
     # via cpsplines (setup.py)
-mypy==1.7.1
+mypy==1.9.0
     # via cpsplines (setup.py)
 mypy-extensions==1.0.0
     # via
     #   black
     #   mypy
-nest-asyncio==1.5.8
+nest-asyncio==1.6.0
     # via ipykernel
-numpy==1.26.2
+numpy==1.26.4
     # via
     #   contourpy
     #   cpsplines (setup.py)
@@ -85,66 +85,68 @@ numpy==1.26.2
     #   scipy
     #   statsmodels
     #   tensorly
-packaging==23.2
+packaging==24.0
     # via
     #   black
     #   build
     #   ipykernel
     #   matplotlib
     #   pytest
     #   statsmodels
-pandas==2.1.3
+pandas==2.2.1
     # via
     #   cpsplines (setup.py)
     #   statsmodels
 parso==0.8.3
     # via jedi
-pathspec==0.11.2
+pathspec==0.12.1
     # via black
-patsy==0.5.4
+patsy==0.5.6
     # via statsmodels
 pexpect==4.9.0
     # via ipython
 pillow==10.2.0
     # via matplotlib
-pip-tools==7.3.0
+pip-tools==7.4.1
     # via cpsplines (setup.py)
-platformdirs==4.1.0
+platformdirs==4.2.0
     # via
     #   black
     #   jupyter-core
-pluggy==1.3.0
+pluggy==1.4.0
     # via pytest
-prompt-toolkit==3.0.41
+prompt-toolkit==3.0.43
     # via ipython
-psutil==5.9.6
+psutil==5.9.8
     # via ipykernel
 ptyprocess==0.7.0
     # via pexpect
 pure-eval==0.2.2
     # via stack-data
 pygments==2.17.2
     # via ipython
-pyparsing==3.1.1
+pyparsing==3.1.2
     # via matplotlib
 pyproject-hooks==1.0.0
-    # via build
-pytest==7.4.3
+    # via
+    #   build
+    #   pip-tools
+pytest==8.1.1
     # via cpsplines (setup.py)
-python-dateutil==2.8.2
+python-dateutil==2.9.0.post0
     # via
     #   jupyter-client
     #   matplotlib
     #   pandas
-pytz==2023.3.post1
+pytz==2024.1
     # via pandas
 pyzmq==25.1.2
     # via
     #   ipykernel
     #   jupyter-client
-ruff==0.1.7
+ruff==0.3.4
     # via cpsplines (setup.py)
-scipy==1.11.4
+scipy==1.12.0
     # via
     #   cpsplines (setup.py)
     #   statsmodels
@@ -156,7 +158,7 @@ six==1.16.0
     #   python-dateutil
 stack-data==0.6.3
     # via ipython
-statsmodels==0.14.0
+statsmodels==0.14.1
     # via cpsplines (setup.py)
 tensorly==0.8.1
     # via cpsplines (setup.py)
@@ -174,26 +176,26 @@ tornado==6.4
     # via
     #   ipykernel
     #   jupyter-client
-traitlets==5.14.0
+traitlets==5.14.2
     # via
     #   comm
     #   ipykernel
     #   ipython
     #   jupyter-client
     #   jupyter-core
     #   matplotlib-inline
-typing-extensions==4.8.0
+typing-extensions==4.10.0
     # via
     #   black
     #   ipython
     #   mypy
-tzdata==2023.3
+tzdata==2024.1
     # via pandas
-wcwidth==0.2.12
+wcwidth==0.2.13
     # via prompt-toolkit
-wheel==0.42.0
+wheel==0.43.0
     # via pip-tools
-zipp==3.17.0
+zipp==3.18.1
     # via
     #   importlib-metadata
     #   importlib-resources