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REL: Prepare for the NumPy 2.5.66 release
#196opened 10-11 13:45 by numpy-bot· merged 10-11 13:45session 10-11 13:08
0
PERF: make the in-order scan vectorize, and route the sort paths to it (1.2-2.0x)
#195opened 10-11 13:39 by numpy-bot· merged 10-11 13:43session 10-11 13:08
1
REL: Prepare for the NumPy 2.5.65 release
#194opened 10-11 13:04 by numpy-bot· merged 10-11 13:04session 10-11 12:28
0
PERF: let np.unique decline an already-ordered narrow datetime64 key (2.0x)
#192opened 10-11 12:54 by numpy-bot· merged 10-11 13:03session 10-11 12:28
1
REL: Prepare for the NumPy 2.5.64 release
#191opened 10-11 12:25 by numpy-bot· merged 10-11 12:25session 10-11 11:45
0
PERF: let np.unique's span gate decline a narrow datetime64 key (1.2-2.5x)
#190opened 10-11 12:15 by numpy-bot· merged 10-11 12:21session 10-11 11:45
1
REL: Prepare for the NumPy 2.5.63 release
#188opened 10-11 11:01 by numpy-bot· merged 10-11 11:01session 10-11 10:06
0
PERF: a second counter set makes the radix counting pass layout-independent (1.2-1.5x)
#187opened 10-11 11:00 by numpy-bot· merged 10-11 11:00session 10-11 10:06
1
REL: Prepare for the NumPy 2.5.62 release
#186opened 10-08 12:50 by numpy-bot· merged 10-08 12:50session 10-08 11:50
0
PERF: vectorize the datetime64/timedelta64 minimum/maximum/fmin/fmax (4-8x)
#185opened 10-08 12:40 by numpy-bot· merged 10-08 12:49session 10-08 11:50
1
REL: Prepare for the NumPy 2.5.61 release
#183opened 10-08 11:29 by numpy-bot· merged 10-08 11:29session 10-08 10:29
0
PERF: reach the bool logical SIMD kernel when an operand is a scalar (16-24x)
#182opened 10-08 11:23 by numpy-bot· merged 10-08 11:28session 10-08 10:29
1
REL: Prepare for the NumPy 2.5.60 release
#180opened 10-08 10:12 by numpy-bot· merged 10-08 10:12session 10-08 09:18
0
PERF: give the ascending integer SIMD sort the in-order case it lacks (19x)
#179opened 10-08 10:10 by numpy-bot· merged 10-08 10:10session 10-08 09:18
0
REL: Prepare for the NumPy 2.5.59 release
#178opened 10-08 09:08 by numpy-bot· merged 10-08 09:09session 10-08 08:12
0
PERF: a descending integer sort borrows the ascending SIMD kernel (4.5-9.9x)
#175opened 10-08 08:59 by numpy-bot· merged 10-08 09:07session 10-08 08:12
1
REL: Prepare for the NumPy 2.5.58 release
#174opened 10-08 08:04 by numpy-bot· merged 10-08 08:05session 10-08 07:25
0
PERF: vectorize the datetime64/timedelta64 comparisons (4-5x)
#173opened 10-08 07:56 by numpy-bot· merged 10-08 08:03session 10-08 07:25
1
DOC,TST: the drain's page-return fraction is glibc's history, not the block size
#170opened 10-08 05:58 by numpy-bot· merged 10-08 05:59session 10-08 05:35
0
PERF: decline np.unique's hash table for a narrow integer key (2.6x-4.9x)
#169opened 10-08 05:23 by numpy-bot· merged 10-08 05:26session 10-08 04:29
1
DOC: record the consumer measurements the large-block tier comment lacked
#168opened 10-08 04:25 by numpy-bot· merged 10-08 04:25session 10-08 03:41
0
BUG: make _drain_large_data_cache resolve under its documented name
#167opened 10-08 04:20 by numpy-bot· merged 10-08 04:20session 10-08 03:41
0
DOC,TST: record why timedelta64 is not in unique.cpp dispatch map (closes #159 as a measured negative)
#166opened 10-08 04:11 by numpy-bot· merged 10-08 04:11session 10-08 03:41
0
REL: Prepare for the NumPy 2.5.55 release
#163opened 10-08 03:34 by numpy-bot· merged 10-08 03:34session 10-08 02:59
0
ENH: decline a large-cache push the tier has no comparable block to pay for
#162opened 10-08 03:32 by numpy-bot· merged 10-08 03:33session 10-08 02:59
1
REL: Prepare for the NumPy 2.5.54 release
#161opened 10-08 02:51 by numpy-bot· merged 10-08 02:51session 10-08 02:19
0
ENH: a private entry point that hands the large-block data cache back
#160opened 10-08 02:43 by numpy-bot· merged 10-08 02:49session 10-08 02:19
0
REL: Prepare for the NumPy 2.5.53 release
#158opened 10-08 02:12 by numpy-bot· merged 10-08 02:12session 10-08 01:42
0
PERF: np.unique declines the hash table when a prefix says the input is mostly distinct
#157opened 10-08 02:10 by numpy-bot· merged 10-08 02:12session 10-08 01:42
1
REL: Prepare for the NumPy 2.5.52 release
#156opened 10-08 01:24 by numpy-bot· merged 10-08 01:24session 10-08 00:31
0
PERF: scale the large-block cache's ceiling with the threads that are asking
#155opened 10-08 01:14 by numpy-bot· merged 10-08 01:23session 10-08 00:31
1
REL: Prepare for the NumPy 2.5.51 release
#154opened 10-07 23:15 by numpy-bot· merged 10-07 23:15session 10-07 22:25
0
PERF: argsort an 8-byte key on five digit columns from 98304 elements up
#153opened 10-07 23:11 by numpy-bot· merged 10-07 23:14session 10-07 22:25
1
REL: Prepare for the NumPy 2.5.50 release
#149opened 10-07 09:27 by numpy-bot· merged 10-07 09:27session 10-07 08:45
0
PERF: do not evict a far larger block from the large-block cache to make room
#148opened 10-07 09:25 by numpy-bot· merged 10-07 09:26session 10-07 08:45
0
REL: Prepare for the NumPy 2.5.49 release
#147opened 10-07 08:37 by numpy-bot· merged 10-07 08:37session 10-07 07:46
0
PERF: widen the indexed radix gate for 8-byte integers from one live digit column to four
#146opened 10-07 08:25 by numpy-bot· merged 10-07 08:35session 10-07 07:46
4
TST: make the 48 TestDefaultKindDateSort cases assert again
#145opened 10-07 02:57 by numpy-bot· merged 10-07 02:57session 10-07 02:37
0
REL: Prepare for the NumPy 2.5.48 release
#144opened 10-07 02:29 by numpy-bot· merged 10-07 02:30session 10-07 01:37
0
PERF: size the large-block cache to the same-size burst a program has shown it reuses
#143opened 10-07 02:26 by numpy-bot· merged 10-07 02:28session 10-07 01:37
1
REL: Prepare for the NumPy 2.5.47 release
#140opened 10-07 01:28 by numpy-bot· merged 10-07 01:28session 10-07 00:59
0
PERF: the default-kind argsort of a 4-byte integer always takes the radix sort
#139opened 10-07 01:26 by numpy-bot· merged 10-07 01:26session 10-07 00:59
0
REL: Prepare for the NumPy 2.5.46 release
#138opened 10-06 21:48 by numpy-bot· merged 10-06 21:48session 10-06 21:17
0
PERF: re-apply the hugepage advice after a large realloc
#137opened 10-06 21:45 by numpy-bot· merged 10-06 21:46session 10-06 21:17
0
REL: Prepare for the NumPy 2.5.45 release
#134opened 10-06 21:04 by numpy-bot· merged 10-06 21:04session 10-06 20:25
0
PERF: serve zeroed allocations from the large-block data cache
#133opened 10-06 21:02 by numpy-bot· merged 10-06 21:03session 10-06 20:25
2
REL: Prepare for the NumPy 2.5.44 release
#130opened 10-06 20:15 by numpy-bot· merged 10-06 20:15session 10-06 19:47
0
PERF: let the large-block data cache serve blocks up to 128 MiB
#129opened 10-06 20:12 by numpy-bot· merged 10-06 20:13session 10-06 19:47
1
REL: Prepare for the NumPy 2.5.43 release
#127opened 10-06 15:42 by numpy-bot· merged 10-06 15:42session 10-06 14:46
0
PERF: the large-block data cache pops the most recently freed match
#126opened 10-06 15:41 by numpy-bot· merged 10-06 15:41session 10-06 14:46
0
REL: Prepare for the NumPy 2.5.42 release
#125opened 10-06 15:31 by numpy-bot· merged 10-06 15:31session 10-06 14:46
0
PERF: a large-block tier for the array data cache
#124opened 10-06 15:28 by numpy-bot· merged 10-06 15:29session 10-06 14:46
0
REL: Prepare for the NumPy 2.5.41 release
#123opened 10-06 06:19 by numpy-bot· merged 10-06 06:20session 10-06 05:44
1
PERF: the 1-byte counting argsort scatters in place when it is handed arange
#122opened 10-06 06:14 by numpy-bot· merged 10-06 06:18session 10-06 05:44
1
REL: Prepare for the NumPy 2.5.40 release
#120opened 10-06 05:36 by numpy-bot· merged 10-06 05:36session 10-06 04:47
1
PERF: an indexed radix sort with one live column and arange on the way in scatters in place, allocating no scratch buffer
#119opened 10-06 05:33 by numpy-bot· merged 10-06 05:34session 10-06 04:47
1
REL: Prepare for the NumPy 2.5.39 release
#118opened 10-05 23:51 by numpy-bot· merged 10-05 23:51session 10-05 23:00
1
PERF: the default-kind argsort of a wide integer takes the radix sort when the key's live bits fit one digit column
#117opened 10-05 23:46 by numpy-bot· merged 10-05 23:48session 10-05 23:00
1
REL: Prepare for the NumPy 2.5.38 release
#114opened 10-05 17:43 by numpy-bot· merged 10-05 17:44session 10-05 17:00
0
PERF: the default-kind sort of a wide integer takes the radix sort when the key's live bits fit one digit column
#113opened 10-05 17:36 by numpy-bot· merged 10-05 17:37session 10-05 17:00
0
REL: Prepare for the NumPy 2.5.37 release
#111opened 10-05 08:24 by numpy-bot· merged 10-05 08:24session 10-05 08:01
1
PERF: np.unique(return_inverse=True) takes the stable kind on 4- and 8-byte integer keys
#110opened 10-05 08:17 by numpy-bot· merged 10-05 08:19session 10-05 08:01
1
TST: check the sort fast paths against a reference that is not numpy
#107opened 10-05 04:04 by numpy-bot· merged 10-05 07:18session 10-05 03:19
1
REL: Prepare for the NumPy 2.5.36 release
#106opened 10-04 18:02 by numpy-bot· merged 10-04 18:02session 10-04 17:28
0
BUG: date fall-back's already-sorted branch returned NaT-first output (#104)
#105opened 10-04 18:00 by numpy-bot· merged 10-04 18:01session 10-04 17:28
0
REL: Prepare for the NumPy 2.5.35 release
#103opened 10-04 16:15 by numpy-bot· merged 10-04 16:15session 10-04 15:32
0
PERF: re-fit the indexed 16-bit radix width gate against the narrowed counters (2.1-2.8x uint16/int16/float16 argsort from 32768 elements)
#102opened 10-04 16:11 by numpy-bot· merged 10-04 16:13session 10-04 15:32
0
REL: Prepare for the NumPy 2.5.34 release
#100opened 10-04 15:23 by numpy-bot· merged 10-04 15:23session 10-04 14:52
0
PERF: hold wide-digit radix counters in npy_uint32 (1.1-1.4x on the 16-bit digit, 1.1-1.2x on the 13-bit)
#99opened 10-04 15:21 by numpy-bot· merged 10-04 15:22session 10-04 14:52
0
REL: Prepare for the NumPy 2.5.33 release
#98opened 10-04 14:46 by numpy-bot· merged 10-04 14:46session 10-04 14:09
0
PERF: gate the branchless zero key on the input's zero fraction (1.4-2.1x float16, 1.1-1.4x float32)
#97opened 10-04 14:44 by numpy-bot· merged 10-04 14:45session 10-04 14:09
1
TST: cover lexsort over a zero-heavy float column
#95opened 10-04 12:56 by numpy-bot· merged 10-04 12:59session 10-04 12:38
2
REL: Prepare for the NumPy 2.5.32 release
#93opened 10-04 09:45 by numpy-bot· merged 10-04 09:45session 10-04 09:14
0
PERF: a float column of +0.0 and no -0.0 emits instead of scattering (1.8-2.0x)
#92opened 10-04 09:43 by numpy-bot· merged 10-04 09:44session 10-04 09:14
1
REL: Prepare for the NumPy 2.5.31 release
#90opened 10-04 09:06 by numpy-bot· merged 10-04 09:06session 10-04 08:30
0
PERF: a float radix sort emits where its data allows, and stops mispredicting its sign branch (4.5x on 1M float16 sort)
#89opened 10-04 08:57 by numpy-bot· merged 10-04 09:05session 10-04 08:30
1
REL: Prepare for the NumPy 2.5.30 release
#87opened 10-04 08:22 by numpy-bot· merged 10-04 08:22session 10-04 07:44
0
PERF: float16 sorts go to the radix sort, in both kinds (9.4x sort, 13.7x stable argsort on 1M)
#86opened 10-04 08:17 by numpy-bot· merged 10-04 08:21session 10-04 07:44
1
REL: Prepare for the NumPy 2.5.29 release
#83opened 10-04 03:57 by numpy-bot· merged 10-04 03:57session 10-04 03:06
0
PERF: kind="stable" float32/float64 sorts go to the radix sort (4.0x float64 argsort, 8.8x float32, 2.3x pandas Series.rank)
#82opened 10-04 03:43 by numpy-bot· merged 10-04 03:55session 10-04 03:06
1
REL: Prepare for the NumPy 2.5.28 release
#80opened 10-04 02:43 by numpy-bot· merged 10-04 02:43session 10-04 02:23
0
PERF: default-kind datetime64/timedelta64 sorts go to the radix sort (3.5x random, 12.4x ordered on 1M M8[ns]; 34x on a 13-bit span)
#79opened 10-04 01:05 by numpy-bot· merged 10-04 02:42session 10-04 00:07
1
REL: Prepare for the NumPy 2.5.27 release
#77opened 10-03 23:59 by numpy-bot· merged 10-03 23:59session 10-03 23:39
0
PERF: make introselect's order_check a template parameter (1.29-1.37x on ordered float64 quantile/partition/median)
#76opened 10-03 23:57 by numpy-bot· merged 10-03 23:58session 10-03 23:39
1
REL: Prepare for the NumPy 2.5.26 release
#74opened 10-03 23:31 by numpy-bot· merged 10-03 23:31session 10-03 22:47
0
PERF: let the 65536-bucket radix digit emit at two elements per bucket
#73opened 10-03 23:26 by numpy-bot· merged 10-03 23:30session 10-03 22:47
1
REL: Prepare for the NumPy 2.5.25 release
#72opened 10-03 22:39 by numpy-bot· merged 10-03 22:39session 10-03 21:54
0
PERF: fall back to the sort path for np.unique of narrow integer keys
#70opened 10-03 22:36 by numpy-bot· merged 10-03 22:38session 10-03 21:54
0
REL: Prepare for the NumPy 2.5.24 release
#69opened 10-03 21:48 by numpy-bot· merged 10-03 21:48session 10-03 21:00
0
PERF: pick a 13-bit radix digit when it cuts enough of the passes
#68opened 10-03 21:41 by numpy-bot· merged 10-03 21:47session 10-03 21:00
1
REL: Prepare for the NumPy 2.5.23 release
#65opened 10-03 19:44 by numpy-bot· merged 10-03 19:44session 10-03 19:31
0
BUG: do not compute the quantile interpolation span in the input dtype
#64opened 10-03 19:42 by numpy-bot· merged 10-03 19:43session 10-03 19:31
1
REL: Prepare for the NumPy 2.5.22 release
#62opened 10-03 19:22 by numpy-bot· merged 10-03 19:22session 10-03 18:39
0
PERF: scan only the surviving window for the already-ordered partition shortcut
#61opened 10-03 19:20 by numpy-bot· merged 10-03 19:21session 10-03 18:39
1
REL: Prepare for the NumPy 2.5.21 release
#59opened 10-03 18:32 by numpy-bot· merged 10-03 18:32session 10-03 17:55
0
PERF: return from np.partition when the key is narrow and already in order
#58opened 10-03 18:30 by numpy-bot· merged 10-03 18:31session 10-03 17:55
1
REL: Prepare for the NumPy 2.5.20 release
#56opened 10-03 17:47 by numpy-bot· merged 10-03 17:47session 10-03 17:08
0
PERF: fall through to radix sort for a 2-byte key with no AVX-512 kernel
#55opened 10-03 17:40 by numpy-bot· merged 10-03 17:45session 10-03 17:08
1
REL: Prepare for the NumPy 2.5.19 release
#54opened 10-03 17:00 by numpy-bot· merged 10-03 17:00session 10-03 16:09
0
PERF: one radix pass for any 2-byte stable sort, on a 16-bit digit
#53opened 10-03 16:52 by numpy-bot· merged 10-03 16:59session 10-03 16:09
1
REL: Prepare for the NumPy 2.5.18 release
#51opened 10-03 13:45 by numpy-bot· merged 10-03 13:45session 10-03 13:04
0
PERF: a 1-byte sort is a counting sort, not a comparison sort
#50opened 10-03 12:56 by numpy-bot· merged 10-03 13:43session 10-03 11:58
1
REL: Prepare for the NumPy 2.5.17 release
#48opened 10-03 11:50 by numpy-bot· merged 10-03 11:50session 10-03 11:05
0
PERF: a radix sort with one live column is a counting sort
#47opened 10-03 11:47 by numpy-bot· merged 10-03 11:49session 10-03 11:05
1
REL: Prepare for the NumPy 2.5.16 release
#46opened 10-03 10:21 by numpy-bot· merged 10-03 10:21session 10-03 09:39
0
PERF: let a 2-byte key reach the wide radix digit when the span saves a pass
#44opened 10-03 10:18 by numpy-bot· merged 10-03 10:19session 10-03 09:39
1
REL: Prepare for the NumPy 2.5.15 release
#42opened 10-03 09:31 by numpy-bot· merged 10-03 09:31session 10-03 08:52
0
PERF: choose the radix digit width from the key's sampled live bit span (up to 3.27x; reverts a v2.5.14 loss on spans with no pass to save)
#41opened 10-03 09:29 by numpy-bot· merged 10-03 09:30session 10-03 08:52
2
REL: Prepare for the NumPy 2.5.14 release
#39opened 10-03 08:46 by numpy-bot· merged 10-03 08:46session 10-03 07:57
0
PERF: sort on 11-bit radix digits above 98304 elements
#38opened 10-03 08:44 by numpy-bot· merged 10-03 08:45session 10-03 07:57
0
REL: Prepare for the NumPy 2.5.13 release
#36opened 10-03 05:38 by numpy-bot· merged 10-03 05:38session 10-03 04:40
0
PERF: count only the live byte columns in the integer radix sort (1.3-1.5x on narrow integer keys)
#35opened 10-03 05:36 by numpy-bot· merged 10-03 05:37session 10-03 04:40
1
REL: Prepare for the NumPy 2.5.12 release
#33opened 10-02 23:04 by numpy-bot· merged 10-02 23:05session 10-02 22:29
0
PERF: let datetime64/timedelta64 reach the stable-sort radix gate (3.1-5.2x lexsort/argsort)
#32opened 10-02 23:02 by numpy-bot· merged 10-02 23:03session 10-02 22:29
0
REL: Prepare for the NumPy 2.5.11 release
#30opened 10-02 21:54 by numpy-bot· merged 10-02 21:54session 10-02 21:09
1
PERF: scan contiguous boolean masks a word at a time in np.nonzero
#29opened 10-02 21:51 by numpy-bot· merged 10-02 21:52session 10-02 21:09
1
REL: Prepare for the NumPy 2.5.10 release
#27opened 10-02 21:03 by numpy-bot· merged 10-02 21:03session 10-02 20:25
0
PERF: gate np.nonzero's sparse loop on the measured break-even
#26opened 10-02 21:00 by numpy-bot· merged 10-02 21:01session 10-02 20:25
0
REL: Prepare for the NumPy 2.5.9 release
#24opened 10-02 20:17 by numpy-bot· merged 10-02 20:20session 10-02 19:30
1
PERF: choose the stable sort by run order, not run length
#23opened 10-02 20:10 by numpy-bot· merged 10-02 20:15session 10-02 19:30
1
PERF: use radix sort for the 4- and 8-byte integer stable sorts (3.5x on multi-key lexsort)
#21opened 10-02 18:53 by numpy-bot· merged 10-02 19:21session 10-02 18:00
2
TST: pin nanmean's no-copy object-dtype path
#20opened 10-02 18:52 by numpy-bot· merged 10-02 19:21session 10-02 18:00
1
REL: Prepare for the NumPy 2.5.8 release
#19opened 10-02 17:53 by numpy-bot· merged 10-02 17:53session 10-02 17:08
1
PERF: pick isin's table lookup by the in-range count (2.4-2.9x on the regime 2.5.7 regressed)
#18opened 10-02 17:50 by numpy-bot· merged 10-02 17:52session 10-02 17:08
6
REL: Prepare for the NumPy 2.5.7 release
#17opened 10-02 15:56 by numpy-bot· merged 10-02 15:56session 10-02 15:09
0
PERF: make np.isin's table method pass densely over its input (3.8x on the existing Isin benchmark)
#16opened 10-02 15:54 by numpy-bot· merged 10-02 15:55session 10-02 15:09
2
REL: Prepare for the NumPy 2.5.6 release
#15opened 10-02 15:04 by numpy-bot· merged 10-02 15:04session 10-02 14:45
0
PERF: skip __array_function__ dispatch in memmap.__array_finalize__ (1.20x per memmap view)
#14opened 10-02 15:01 by numpy-bot· merged 10-02 15:03session 10-02 14:45
1
REL: Prepare for the NumPy 2.5.5 release
#13opened 10-02 14:39 by numpy-bot· merged 10-02 14:39session 10-02 14:22
1
PERF: dispatch np.issubdtype on its arguments' spelling (1.9-2.1x for dtype arguments)
#12opened 10-02 14:37 by numpy-bot· merged 10-02 14:37session 10-02 14:22
1
REL: Prepare for the NumPy 2.5.4 release
#11opened 10-02 14:04 by numpy-bot· merged 10-02 14:07session 10-02 13:52
1
PERF: defer nanvar/nanstd's copy of NaN-free input
#9opened 10-02 13:47 by numpy-bot· merged 10-02 14:02session 10-02 13:16
1
REL: Prepare for the NumPy 2.5.3 release
#8opened 10-02 13:09 by numpy-bot· merged 10-02 13:10session 10-02 12:53
0
PERF: vectorize in-place byteswap of contiguous arrays
#7opened 10-02 12:45 by numpy-bot· merged 10-02 12:46session 10-02 12:21
0
REL: Prepare for the NumPy 2.5.2 release
#6opened 10-02 12:13 by numpy-bot· merged 10-02 12:14session 10-02 12:05
1
PERF: skip _replace_nan's copy when nan* input has no NaNs
#4opened 10-02 11:58 by numpy-bot· merged 10-02 11:59session 10-02 11:34
0
PERF: use a flat open-addressing hash set for integer np.unique
#1opened 10-02 09:53 by numpy-bot· merged 10-02 09:55session 10-02 09:18
1

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