8000 ENH: handle empty matrices in qr decomposition by convexset · Pull Request #11593 · numpy/numpy · GitHub
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ENH: handle empty matrices in qr decomposition #11593

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Merged
merged 12 commits into from
Jul 31, 2018
Merged

ENH: handle empty matrices in qr decomposition #11593

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36fcb0c
handle empty matrices in qr decomposition
convexset Jul 20, 2018
3fa693a
fixed offending quotes
convexset Jul 20, 2018
6dabc39
release notes updated
convexset Jul 20, 2018
448b409
revised to use existing array sizes; skipping calls to lapack in the …
convexset Jul 29, 2018
1624a80
setting things back where they were and calling LAPACK functions better
convexset Jul 29, 2018
e6fa7df
ensure lwork respects requirements of lapack methods (zgeqrf, dgeqrf,…
convexset Jul 29, 2018
7f22736
updated tests
convexset Jul 29, 2018
68d608e
simplified tests
convexset Jul 29, 2018
5809e9a
removed redundant test; expressed sub-test with pytest.mark.parametrize
convexset Jul 31, 2018
16d79e9
fixed dumb copy-and-paste error
convexset Jul 31, 2018
c4c6426
clarified terminology
convexset Jul 31, 2018
ff9063c
trimmed excess on line
convexset Jul 31, 2018
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fixed offending quotes
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@convexset
convexset committed Jul 20, 2018
commit 3fa693ae72cc312f2f3601602fb0bacc681ed1ce
10 changes: 5 additions & 5 deletions numpy/linalg/linalg.py
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Expand Up @@ -862,20 +862,20 @@ def qr(a, mode='reduced'):
if _isEmpty2d(a):
k = min(m, n)
if mode == 'reduced':
# ‘reduced’ : returns q, r with dimensions (M, K), (K, N) (default)
# 'reduced': returns q, r with dimensions (M, K), (K, N) (default)
return empty((m, k)), empty((k, n))
elif mode == 'r':
# ‘r’ : returns r only with dimensions (K, N)
# 'r': returns r only with dimensions (K, N)
return empty((k, n))
elif mode == 'complete':
# ‘complete’ : returns q, r with dimensions (M, M), (M, N)
# 'complete': returns q, r with dimensions (M, M), (M, N)
return eye(m), empty((m, n))
elif mode in ('raw', 'economic'):
# ‘raw’ : returns h, tau with dimensions (N, M), (K,)
# 'raw': returns h, tau with dimensions (N, M), (K,)
h = empty((n, m))
tau = empty(k)
if mode == 'economic':
# ‘economic’ : returns h from ‘raw’, deprecated.
# 'economic': returns h from raw, deprecated.
return h
else:
return h, tau
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