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Fix #891 and code format #893

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Merged
merged 3 commits into from
Aug 1, 2023
Merged

Fix #891 and code format #893

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d758a0e
empty commit
NimaSarajpoor Aug 1, 2023
bc18f88
fix flake8 format
NimaSarajpoor Aug 1, 2023
4819a49
fix minor typo
NimaSarajpoor Aug 1, 2023
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2 changes: 1 addition & 1 deletion stumpy/core.py
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Original file line number Diff line number Diff line change
Expand Up @@ -2678,7 +2678,7 @@ def _get_partial_mp_func(mp_func, client=None, device_id=None):
partial_mp_func = functools.partial(mp_func, client)
elif device_id is not None:
partial_mp_func = functools.partial(mp_func, device_id=device_id)
elif type(mp_func) != functools.partial:
elif isinstance(mp_func, functools.partial):
partial_mp_func = functools.partial(mp_func)
else:
partial_mp_func = mp_func
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2 changes: 1 addition & 1 deletion stumpy/motifs.py
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Expand Up @@ -208,7 +208,7 @@ def motifs(
The (1-dimensional) matrix profile of `T`. In the case where the matrix
profile was computed with `k > 1` (i.e., top-k nearest neighbors), you
must summarize the top-k nearest-neighbor distances for each subsequence
into a single value (e.g., `np.mean`, `np.min`, etc) and that use that
into a single value (e.g., `np.mean`, `np.min`, etc) and then use that
derived value as your `P`.

min_neighbors : int, default 1
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