@@ -1640,9 +1640,9 @@ def mass(
16401640 corresponding value set to False in this boolean array.
16411641
16421642 Q_subseq_isconstant : numpy.ndarray or function, default None
1643- A boolean array that indicates whether a subsequence in `Q` is constant
1643+ A boolean array that indicates whether the subsequence in `Q` is constant
16441644 (True). Alternatively, a custom, user-defined function that returns a
1645- boolean array that indicates whether a subsequence in `Q` is constant
1645+ boolean array that indicates whether the subsequence in `Q` is constant
16461646 (True). The function must only take two arguments, `a`, a 1-D array,
16471647 and `w`, the window size, while additional arguments may be specified
16481648 by currying the user-defined function using `functools.partial`. Any
@@ -1812,7 +1812,7 @@ def _mass_distance_matrix(
18121812 Sliding standard deviation of `T`
18131813
18141814 Q_subseq_isconstant : numpy.ndarray
1815- A boolean array that indicates whether a subsequence in `Q` is constant (True)
1815+ A boolean array that indicates whether the subsequence in `Q` is constant (True)
18161816
18171817 T_subseq_isconstant : numpy.ndarray
18181818 A boolean array that indicates whether a subsequence in `T` is constant (True)
@@ -1898,9 +1898,9 @@ def mass_distance_matrix(
18981898 corresponding value set to False in this boolean array.
18991899
19001900 Q_subseq_isconstant : numpy.ndarray, function, default None
1901- A boolean array that indicates whether a subsequence in `Q` is constant
1901+ A boolean array that indicates whether the subsequence in `Q` is constant
19021902 (True). Alternatively, a custom, user-defined function that returns a
1903- boolean array that indicates whether a subsequence in `Q` is constant
1903+ boolean array that indicates whether the subsequence in `Q` is constant
19041904 (True). The function must only take two arguments, `a`, a 1-D array,
19051905 and `w`, the window size, while additional arguments may be specified
19061906 by currying the user-defined function using `functools.partial`. Any
0 commit comments