New methods of entropy analysis have been added: shannon, bubble, con…

.github/workflows/check.yaml

@@ -10,10 +10,12 @@ jobs:
         python-version: [ "3.10", "3.11", "3.12", "3.13" ]
     steps:
       - uses: actions/checkout@v4
+
       - name: Set up Python ${{ matrix.python-version }}
         uses: actions/setup-python@v5
         with:
-         python-version: ${{ matrix.python-version }}
+          python-version: ${{ matrix.python-version }}
+
       - name: Install Poetry
         run: |
           pipx install poetry==2.1.0
@@ -32,4 +34,4 @@ jobs:
 
       - name: Run tests
         run: |
-         poetry run pytest --cov=pysatl_cpd
+          poetry run pytest --cov=pysatl_cpd

.github/workflows/linux_installation.yaml

@@ -4,15 +4,14 @@ on: [push, pull_request]
 
 jobs:
   linux-installation:
-
     runs-on: ubuntu-latest
-
     steps:
       - uses: actions/checkout@v4
-      - name: Set up Python ${{ matrix.python-version }}
+
+      - name: Set up Python 3.11
         uses: actions/setup-python@v5
         with:
-         python-version: "3.11"
+          python-version: "3.11"
 
       - name: Install dependencies
         run: |

.github/workflows/windows_installation.yaml

@@ -4,15 +4,14 @@ on: [push, pull_request]
 
 jobs:
   windows-installation:
-
     runs-on: windows-latest
-
     steps:
       - uses: actions/checkout@v4
-      - name: Set up Python ${{ matrix.python-version }}
+
+      - name: Set up Python 3.11
         uses: actions/setup-python@v5
         with:
-         python-version: "3.11"
+          python-version: "3.11"
 
       - name: Install dependencies
         run: |

.gitignore

@@ -165,3 +165,5 @@ cython_debug/
 /benchmarking/execution_logs
 /benchmarking/results
 /experiment_storages
+.DS_Store
+*/.DS_Store

pysatl_cpd/core/algorithms/bayesian_linear_heuristic.py

@@ -89,7 +89,7 @@ def detect(self, observation: np.float64 | npt.NDArray[np.float64]) -> bool:
         :param observation: a new observation from a time series. Note: only univariate data is supported for now.
         :return: whether a change point was detected by a main algorithm.
         """
-        if observation is npt.NDArray[np.float64]:
+        if isinstance(observation, np.ndarray):
             raise TypeError("Multivariate observations are not supported")
         assert self.__main_algorithm is not None, "Main algorithm must be initialized"
 
@@ -111,7 +111,7 @@ def localize(self, observation: np.float64 | npt.NDArray[np.float64]) -> Optiona
         :param observation: a new observation from a time series. Note: only univariate data is supported for now.
         :return: a change point, if it was localized, None otherwise.
         """
-        if observation is npt.NDArray[np.float64]:
+        if isinstance(observation, np.ndarray):
             raise TypeError("Multivariate observations are not supported")
         assert self.__main_algorithm is not None, "Main algorithm must be initialized"
 

pysatl_cpd/core/algorithms/bayesian_online_algorithm.py

@@ -188,7 +188,7 @@ def detect(self, observation: np.float64 | npt.NDArray[np.float64]) -> bool:
         :param observation: new observation of a time series. Note: multivariate time series aren't supported for now.
         :return: whether a change point was detected after processing the new observation.
         """
-        if observation is npt.NDArray[np.float64]:
+        if isinstance(observation, np.ndarray):
             raise TypeError("Multivariate observations are not supported")
 
         self.__process_point(np.float64(observation), False)
@@ -203,7 +203,7 @@ def localize(self, observation: np.float64 | npt.NDArray[np.float64]) -> Optiona
         :return: absolute location of a change point, acquired after processing the new observation,
         or None if there wasn't any.
         """
-        if observation is npt.NDArray[np.float64]:
+        if isinstance(observation, np.ndarray):
             raise TypeError("Multivariate observations are not supported")
 
         self.__process_point(np.float64(observation), True)