Cleanup.

wildboar-foundation · Nov 16, 2023 · b7a0d69 · b7a0d69
1 parent 908badc
commit b7a0d69
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diff --git a/src/wildboar/distance/_cdistance.pyx b/src/wildboar/distance/_cdistance.pyx
@@ -1551,7 +1551,6 @@ cdef class _SubsequenceDistanceProfile:
         return self.x.shape[0]
 
     def __call__(self, Py_ssize_t job_id, Py_ssize_t offset, Py_ssize_t batch_size):
-        # offset is either in subsequences or x.shape[0] depending on which is larger
         cdef Py_ssize_t i, j
         cdef SubsequenceMetric metric = deepcopy(self.metric)
 

diff --git a/src/wildboar/distance/_metric.pyx b/src/wildboar/distance/_metric.pyx
@@ -170,125 +170,6 @@ cdef class ScaledEuclideanSubsequenceMetric(ScaledSubsequenceMetric):
             indicies
         )
 
-    # cdef double transient_distance(
-    #     self,
-    #     SubsequenceView *s,
-    #     TSArray X,
-    #     Py_ssize_t index,
-    #     Py_ssize_t *return_index=NULL,
-    # ) noexcept nogil:
-    #     return self._distance(
-    #         &X[s.index, s.dim, s.start],
-    #         s.length,
-    #         s.mean,
-    #         s.std if s.std != 0.0 else 1.0,
-    #         &X[index, s.dim, 0],
-    #         X.shape[2],
-    #         return_index,
-    #     )
-
-    # cdef double persistent_distance(
-    #     self,
-    #     Subsequence *s,
-    #     TSArray X,
-    #     Py_ssize_t index,
-    #     Py_ssize_t *return_index=NULL,
-    # ) noexcept nogil:
-    #     return scaled_euclidean_distance(
-    #         s.data,
-    #         s.length,
-    #         s.mean,
-    #         s.std if s.std != 0.0 else 1.0,
-    #         &X[index, s.dim, 0],
-    #         X.shape[2],
-    #         self.X_buffer,
-    #         return_index,
-    #     )
-
-    # cdef Py_ssize_t transient_matches(
-    #     self,
-    #     SubsequenceView *v,
-    #     TSArray X,
-    #     Py_ssize_t index,
-    #     double threshold,
-    #     double *distances,
-    #     Py_ssize_t *indicies,
-    # ) noexcept nogil:
-    #     return scaled_euclidean_distance_matches(
-    #         &X[v.index, v.dim, v.start],
-    #         v.length,
-    #         v.mean,
-    #         v.std if v.std != 0.0 else 1.0,
-    #         &X[index, v.dim, 0],
-    #         X.shape[2],
-    #         self.X_buffer,
-    #         threshold,
-    #         distances,
-    #         indicies,
-    #     )
-
-    # cdef Py_ssize_t persistent_matches(
-    #     self,
-    #     Subsequence *s,
-    #     TSArray X,
-    #     Py_ssize_t index,
-    #     double threshold,
-    #     double *distances,
-    #     Py_ssize_t *indicies,
-    # ) noexcept nogil:
-    #     return scaled_euclidean_distance_matches(
-    #         s.data,
-    #         s.length,
-    #         s.mean,
-    #         s.std if s.std != 0.0 else 1.0,
-    #         &X[index, s.dim, 0],
-    #         X.shape[2],
-    #         self.X_buffer,
-    #         threshold,
-    #         distances,
-    #         indicies,
-    #     )
-
-    # cdef void transient_profile(
-    #     self,
-    #     SubsequenceView *s,
-    #     TSArray X,
-    #     Py_ssize_t index,
-    #     double *dp,
-    # ) noexcept nogil:
-    #     scaled_euclidean_distance_matches(
-    #         &X[v.index, v.dim, v.start],
-    #         v.length,
-    #         v.mean,
-    #         v.std if v.std != 0.0 else 1.0,
-    #         &X[index, v.dim, 0],
-    #         X.shape[2],
-    #         self.X_buffer,
-    #         INFINITY,
-    #         distances,
-    #         NULL,
-    #     )
-
-    # cdef void persistent_profile(
-    #     self,
-    #     Subsequence *s,
-    #     TSArray X,
-    #     Py_ssize_t index,
-    #     double *dp,
-    # ) noexcept nogil:
-    #     scaled_euclidean_distance_matches(
-    #         s.data,
-    #         s.length,
-    #         s.mean,
-    #         s.std if s.std != 0.0 else 1.0,
-    #         &X[index, s.dim, 0],
-    #         X.shape[2],
-    #         self.X_buffer,
-    #         INFINITY,
-    #         dp,
-    #         NULL,
-    #     )
-
 
 cdef class ManhattanSubsequenceMetric(SubsequenceMetric):
     def __init__(self):