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REL: Prepare for the NumPy 2.5.71 release
#146opened 10-04 10:04 by numpy-bot· merged 10-04 10:08session 10-04 09:53
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PERF: fast path nancumsum for integer arrays
#145opened 10-04 10:00 by numpy-bot· merged 10-04 10:04session 10-04 09:53
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REL: Prepare for the NumPy 2.5.70 release
#144opened 10-04 09:36 by numpy-bot· merged 10-04 09:41session 10-04 09:24
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PERF: fast path nanprod for integer arrays
#143opened 10-04 09:32 by numpy-bot· merged 10-04 09:35session 10-04 09:24
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REL: Prepare for the NumPy 2.5.69 release
#142opened 10-04 09:19 by numpy-bot· merged 10-04 09:22session 10-04 09:09
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PERF: fast path nansum for integer arrays
#141opened 10-04 09:15 by numpy-bot· merged 10-04 09:18session 10-04 09:09
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REL: Prepare for the NumPy 2.5.68 release
#140opened 10-04 09:04 by numpy-bot· merged 10-04 09:08session 10-04 08:56
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PERF: fast path var for exact ndarrays
#139opened 10-04 09:00 by numpy-bot· merged 10-04 09:04session 10-04 08:56
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REL: Prepare for the NumPy 2.5.67 release
#138opened 10-04 08:50 by numpy-bot· merged 10-04 08:54session 10-04 08:38
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PERF: fast path std for exact ndarrays
#137opened 10-04 08:47 by numpy-bot· merged 10-04 08:50session 10-04 08:38
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REL: Prepare for the NumPy 2.5.66 release
#136opened 10-04 08:32 by numpy-bot· merged 10-04 08:36session 10-04 08:23
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PERF: fast path extract for exact ndarrays
#135opened 10-04 08:29 by numpy-bot· merged 10-04 08:32session 10-04 08:23
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REL: Prepare for the NumPy 2.5.65 release
#134opened 10-04 07:30 by numpy-bot· merged 10-04 07:34session 10-04 07:19
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PERF: fast path scalar first operand in kron
#133opened 10-04 07:24 by numpy-bot· merged 10-04 07:30session 10-04 07:19
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REL: Prepare for the NumPy 2.5.64 release
#132opened 10-04 07:14 by numpy-bot· merged 10-04 07:17session 10-04 07:13
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PERF: fast path scalar second operand in kron
#131opened 10-04 07:09 by numpy-bot· merged 10-04 07:14session 10-04 07:04
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REL: Prepare for the NumPy 2.5.63 release
#130opened 10-04 06:45 by numpy-bot· merged 10-04 06:49session 10-04 06:33
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PERF: skip delete conversion for exact arrays
#129opened 10-04 06:41 by numpy-bot· merged 10-04 06:45session 10-04 06:33
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REL: Prepare for the NumPy 2.5.62 release
#128opened 10-04 06:22 by numpy-bot· merged 10-04 06:27session 10-04 06:13
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PERF: compute array_split boundaries directly
#127opened 10-04 06:18 by numpy-bot· merged 10-04 06:22session 10-04 06:13
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REL: Prepare for the NumPy 2.5.61 release
#126opened 10-04 06:07 by numpy-bot· merged 10-04 06:11session 10-04 06:05
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PERF: fast path scalar-axis roll
#125opened 10-04 05:59 by numpy-bot· merged 10-04 06:04session 10-04 05:52
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PERF: fast path single-array concatenate
#124opened 10-04 05:46 by numpy-bot· merged 10-04 05:51session 10-04 05:41
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CI: allow manual No-BLAS reruns
#123opened 10-04 05:32 by numpy-bot· merged 10-04 05:36session 10-04 05:31
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REL: Prepare for the NumPy 2.5.60 release
#122opened 10-04 05:24 by numpy-bot· merged 10-04 05:28session 10-04 05:10
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PERF: fast path axis-zero unstack
#121opened 10-04 05:20 by numpy-bot· merged 10-04 05:24session 10-04 05:10
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REL: Prepare for the NumPy 2.5.59 release
#120opened 10-04 05:05 by numpy-bot· merged 10-04 05:08session 10-04 04:50
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PERF: fast path append for exact ndarrays
#119opened 10-04 05:01 by numpy-bot· merged 10-04 05:05session 10-04 04:50
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REL: Prepare for the NumPy 2.5.58 release
#118opened 10-04 04:35 by numpy-bot· merged 10-04 04:38session 10-04 04:25
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PERF: fast path hstack for ndarray tuples
#117opened 10-04 04:32 by numpy-bot· merged 10-04 04:35session 10-04 04:25
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REL: Prepare for the NumPy 2.5.57 release
#116opened 10-04 04:17 by numpy-bot· merged 10-04 04:20session 10-04 04:08
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PERF: fast path vstack for ndarray tuples
#115opened 10-04 04:13 by numpy-bot· merged 10-04 04:16session 10-04 04:08
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REL: Prepare for the NumPy 2.5.56 release
#114opened 10-04 03:59 by numpy-bot· merged 10-04 04:03session 10-04 03:48
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PERF: fast path dstack for ndarray tuples
#113opened 10-04 03:55 by numpy-bot· merged 10-04 03:59session 10-04 03:48
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REL: Prepare for the NumPy 2.5.55 release
#112opened 10-04 03:34 by numpy-bot· merged 10-04 03:39session 10-04 03:13
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PERF: fast path column_stack for ndarray tuples
#111opened 10-04 03:30 by numpy-bot· merged 10-04 03:34session 10-04 03:13
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REL: Prepare for the NumPy 2.5.54 release
#110opened 10-04 03:07 by numpy-bot· merged 10-04 03:11session 10-04 02:58
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PERF: fast path trivial broadcast_shapes calls
#109opened 10-04 03:03 by numpy-bot· merged 10-04 03:07session 10-04 02:58
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REL: Prepare for the NumPy 2.5.53 release
#108opened 10-04 02:52 by numpy-bot· merged 10-04 02:56session 10-04 02:40
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PERF: fast path same-shape broadcast_arrays
#107opened 10-04 02:48 by numpy-bot· merged 10-04 02:52session 10-04 02:40
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REL: Prepare for the NumPy 2.5.52 release
#106opened 10-04 02:34 by numpy-bot· merged 10-04 02:38session 10-04 02:26
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PERF: fast path single-input broadcast_arrays
#105opened 10-04 02:31 by numpy-bot· merged 10-04 02:34session 10-04 02:26
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REL: Prepare for the NumPy 2.5.51 release
#104opened 10-04 02:17 by numpy-bot· merged 10-04 02:20session 10-04 02:07
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PERF: fast path single-input meshgrid
#103opened 10-04 02:12 by numpy-bot· merged 10-04 02:17session 10-04 02:07
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REL: Prepare for the NumPy 2.5.50 release
#102opened 10-04 02:02 by numpy-bot· merged 10-04 02:05session 10-04 02:00
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PERF: fill diagonal arrays with strided slices
#101opened 10-04 01:58 by numpy-bot· merged 10-04 02:01session 10-04 01:50
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REL: Prepare for the NumPy 2.5.49 release
#100opened 10-04 01:44 by numpy-bot· merged 10-04 01:48session 10-04 01:34
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PERF: avoid temporary view in eye main diagonal
#99opened 10-04 01:40 by numpy-bot· merged 10-04 01:44session 10-04 01:34
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REL: Prepare for the NumPy 2.5.48 release
#98opened 10-04 01:13 by numpy-bot· merged 10-04 01:18session 10-04 01:00
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PERF: avoid repeated import in identity
#97opened 10-04 01:10 by numpy-bot· merged 10-04 01:13session 10-04 01:00
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REL: Prepare for the NumPy 2.5.47 release
#96opened 10-04 00:55 by numpy-bot· merged 10-04 00:59session 10-04 00:45
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PERF: avoid huge repeat tuples in resize
#95opened 10-04 00:51 by numpy-bot· merged 10-04 00:55session 10-04 00:45
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REL: Prepare for the NumPy 2.5.46 release
#94opened 10-04 00:40 by numpy-bot· merged 10-04 00:43session 10-04 00:25
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PERF: reduce trim_zeros temporary memory
#93opened 10-04 00:36 by numpy-bot· merged 10-04 00:39session 10-04 00:25
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REL: Prepare for the NumPy 2.5.45 release
#92opened 10-03 23:49 by numpy-bot· merged 10-03 23:53session 10-03 23:38
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PERF: speed up axis-aware count_nonzero
#91opened 10-03 23:44 by numpy-bot· merged 10-03 23:49session 10-03 23:38
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REL: Prepare for the NumPy 2.5.44 release
#90opened 10-03 23:32 by numpy-bot· merged 10-03 23:36session 10-03 23:23
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PERF: fast path flatnonzero for exact ndarrays
#89opened 10-03 23:28 by numpy-bot· merged 10-03 23:32session 10-03 23:23
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REL: Prepare for the NumPy 2.5.43 release
#88opened 10-03 23:07 by numpy-bot· merged 10-03 23:11session 10-03 22:58
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PERF: avoid array conversion for builtin scalar shape
#87opened 10-03 23:04 by numpy-bot· merged 10-03 23:07session 10-03 22:58
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REL: Prepare for the NumPy 2.5.42 release
#86opened 10-03 22:48 by numpy-bot· merged 10-03 22:52session 10-03 22:36
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PERF: avoid array conversion for builtin scalar ndim
#85opened 10-03 22:43 by numpy-bot· merged 10-03 22:48session 10-03 22:36
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REL: Prepare for the NumPy 2.5.41 release
#84opened 10-03 22:28 by numpy-bot· merged 10-03 22:31session 10-03 22:18
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PERF: avoid axis normalization for valid size axes
#83opened 10-03 22:24 by numpy-bot· merged 10-03 22:28session 10-03 22:18
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REL: Prepare for the NumPy 2.5.40 release
#82opened 10-03 21:56 by numpy-bot· merged 10-03 22:00session 10-03 21:45
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PERF: fast path splitting ndarrays on axis zero
#81opened 10-03 21:52 by numpy-bot· merged 10-03 21:56session 10-03 21:45
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REL: Prepare for the NumPy 2.5.39 release
#80opened 10-03 21:39 by numpy-bot· merged 10-03 21:43session 10-03 21:27
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PERF: avoid exception for integer tile repetitions
#79opened 10-03 21:34 by numpy-bot· merged 10-03 21:39session 10-03 21:27
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REL: Prepare for the NumPy 2.5.38 release
#78opened 10-03 21:21 by numpy-bot· merged 10-03 21:26session 10-03 21:20
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PERF: avoid constructing stack axis-zero index
#77opened 10-03 21:15 by numpy-bot· merged 10-03 21:18session 10-03 21:06
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REL: Prepare for the NumPy 2.5.37 release
#76opened 10-02 21:00 by numpy-bot· merged 10-02 21:03session 10-02 20:58
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PERF: fast path scalar axis in size
#75opened 10-02 20:55 by numpy-bot· merged 10-02 20:59session 10-02 20:44
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REL: Prepare for the NumPy 2.5.36 release
#74opened 10-02 19:58 by numpy-bot· merged 10-02 20:01session 10-02 19:46
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PERF: fast path copy for exact ndarrays
#73opened 10-02 19:52 by numpy-bot· merged 10-02 19:57session 10-02 19:46
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REL: Prepare for the NumPy 2.5.35 release
#72opened 10-02 19:40 by numpy-bot· merged 10-02 19:43session 10-02 19:30
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PERF: fast path argsort for exact ndarrays
#71opened 10-02 19:36 by numpy-bot· merged 10-02 19:40session 10-02 19:30
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REL: Prepare for the NumPy 2.5.34 release
#70opened 10-02 19:13 by numpy-bot· merged 10-02 19:16session 10-02 18:59
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PERF: fast path mean for exact ndarrays
#69opened 10-02 19:07 by numpy-bot· merged 10-02 19:12session 10-02 18:59
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REL: Prepare for the NumPy 2.5.33 release
#68opened 10-02 18:49 by numpy-bot· merged 10-02 18:53session 10-02 18:33
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PERF: fast path min for exact ndarrays
#67opened 10-02 18:44 by numpy-bot· merged 10-02 18:48session 10-02 18:33
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REL: Prepare for the NumPy 2.5.32 release
#66opened 10-02 18:25 by numpy-bot· merged 10-02 18:28session 10-02 18:14
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PERF: fast path max for exact ndarrays
#65opened 10-02 18:20 by numpy-bot· merged 10-02 18:24session 10-02 18:14
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REL: Prepare for the NumPy 2.5.31 release
#64opened 10-02 18:05 by numpy-bot· merged 10-02 18:09session 10-02 17:56
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PERF: fast path all for exact ndarrays
#63opened 10-02 18:02 by numpy-bot· merged 10-02 18:05session 10-02 17:56
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REL: Prepare for the NumPy 2.5.30 release
#62opened 10-02 17:47 by numpy-bot· merged 10-02 17:51session 10-02 17:35
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PERF: fast path any for exact ndarrays
#61opened 10-02 17:43 by numpy-bot· merged 10-02 17:47session 10-02 17:35
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REL: Prepare for the NumPy 2.5.29 release
#60opened 10-02 17:27 by numpy-bot· merged 10-02 17:30session 10-02 17:15
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PERF: fast path prod for exact ndarrays
#59opened 10-02 17:23 by numpy-bot· merged 10-02 17:26session 10-02 17:15
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REL: Prepare for the NumPy 2.5.28 release
#58opened 10-02 17:06 by numpy-bot· merged 10-02 17:09session 10-02 17:04
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PERF: fast path sum for exact ndarrays
#57opened 10-02 16:58 by numpy-bot· merged 10-02 17:01session 10-02 16:44
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REL: Prepare for the NumPy 2.5.27 release
#56opened 10-02 16:39 by numpy-bot· merged 10-02 16:42session 10-02 16:29
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PERF: fast path nonzero for exact ndarrays
#55opened 10-02 16:35 by numpy-bot· merged 10-02 16:38session 10-02 16:29
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REL: Prepare for the NumPy 2.5.26 release
#54opened 10-02 15:50 by numpy-bot· merged 10-02 15:53session 10-02 15:45
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PERF: fast path round for exact ndarrays
#53opened 10-02 15:41 by numpy-bot· merged 10-02 15:46session 10-02 15:33
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REL: Prepare for the NumPy 2.5.25 release
#52opened 10-02 15:26 by numpy-bot· merged 10-02 15:30session 10-02 15:25
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PERF: avoid kwargs for exact-ndarray ptp
#51opened 10-02 15:22 by numpy-bot· merged 10-02 15:26session 10-02 15:13
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REL: Prepare for the NumPy 2.5.24 release
#50opened 10-02 15:04 by numpy-bot· merged 10-02 15:07session 10-02 14:51
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PERF: fast path cumprod for exact ndarrays
#49opened 10-02 14:58 by numpy-bot· merged 10-02 15:04session 10-02 14:51
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REL: Prepare for the NumPy 2.5.23 release
#48opened 10-02 14:43 by numpy-bot· merged 10-02 14:46session 10-02 14:31
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PERF: fast path cumsum for exact ndarrays
#47opened 10-02 14:39 by numpy-bot· merged 10-02 14:42session 10-02 14:31
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REL: Prepare for the NumPy 2.5.22 release
#46opened 10-02 14:23 by numpy-bot· merged 10-02 14:26session 10-02 14:12
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PERF: fast path clip for exact ndarrays
#45opened 10-02 14:19 by numpy-bot· merged 10-02 14:22session 10-02 14:12
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REL: Prepare for the NumPy 2.5.21 release
#44opened 10-02 14:03 by numpy-bot· merged 10-02 14:06session 10-02 14:02
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PERF: fast path argmin for exact ndarrays
#43opened 10-02 13:53 by numpy-bot· merged 10-02 13:57session 10-02 13:46
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REL: Prepare for the NumPy 2.5.20 release
#42opened 10-02 13:37 by numpy-bot· merged 10-02 13:41session 10-02 13:36
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PERF: fast path argmax for exact ndarrays
#41opened 10-02 13:30 by numpy-bot· merged 10-02 13:33session 10-02 13:22
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REL: Prepare for the NumPy 2.5.19 release
#40opened 10-02 13:16 by numpy-bot· merged 10-02 13:19session 10-02 13:13
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PERF: fast path argpartition for exact ndarrays
#39opened 10-02 13:07 by numpy-bot· merged 10-02 13:10session 10-02 12:59
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REL: Prepare for the NumPy 2.5.18 release
#38opened 10-02 12:23 by numpy-bot· merged 10-02 12:27session 10-02 12:06
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PERF: fast path choose for exact ndarrays
#37opened 10-02 12:15 by numpy-bot· merged 10-02 12:19session 10-02 12:06
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REL: Prepare for the NumPy 2.5.17 release
#36opened 10-02 11:56 by numpy-bot· merged 10-02 11:59session 10-02 11:45
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PERF: fast path searchsorted for exact ndarrays
#35opened 10-02 11:52 by numpy-bot· merged 10-02 11:55session 10-02 11:45
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REL: Prepare for the NumPy 2.5.16 release
#34opened 10-02 11:36 by numpy-bot· merged 10-02 11:39session 10-02 11:25
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PERF: fast path compress for exact ndarrays
#33opened 10-02 11:32 by numpy-bot· merged 10-02 11:35session 10-02 11:25
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REL: Prepare for the NumPy 2.5.15 release
#32opened 10-02 11:16 by numpy-bot· merged 10-02 11:20session 10-02 11:05
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PERF: fast path repeat for exact ndarrays
#31opened 10-02 11:12 by numpy-bot· merged 10-02 11:15session 10-02 11:05
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REL: Prepare for the NumPy 2.5.14 release
#30opened 10-02 10:49 by numpy-bot· merged 10-02 10:55session 10-02 10:36
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PERF: fast path take for exact ndarrays
#29opened 10-02 10:42 by numpy-bot· merged 10-02 10:49session 10-02 10:36
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REL: Prepare for the NumPy 2.5.13 release
#28opened 10-02 10:10 by numpy-bot· merged 10-02 10:30session 10-02 09:52
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PERF: fast path trace for exact ndarrays
#27opened 10-02 09:59 by numpy-bot· merged 10-02 10:10session 10-02 09:52
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REL: Prepare for the NumPy 2.5.12 release
#26opened 10-02 09:44 by numpy-bot· merged 10-02 09:47session 10-02 09:33
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PERF: fast path diagonal for exact ndarrays
#25opened 10-02 09:40 by numpy-bot· merged 10-02 09:44session 10-02 09:33
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REL: Prepare for the NumPy 2.5.11 release
#24opened 10-02 09:27 by numpy-bot· merged 10-02 09:31session 10-02 09:18
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PERF: fast path squeeze for exact ndarrays
#23opened 10-02 09:24 by numpy-bot· merged 10-02 09:27session 10-02 09:18
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REL: Prepare for the NumPy 2.5.10 release
#22opened 10-02 09:12 by numpy-bot· merged 10-02 09:15session 10-02 09:02
0
PERF: fast path reshape for exact ndarrays
#21opened 10-02 09:08 by numpy-bot· merged 10-02 09:11session 10-02 09:02
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REL: Prepare for the NumPy 2.5.9 release
#20opened 10-02 08:45 by numpy-bot· merged 10-02 08:48session 10-02 08:34
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PERF: fast path ravel for exact ndarrays
#19opened 10-02 08:40 by numpy-bot· merged 10-02 08:44session 10-02 08:34
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REL: Prepare for the NumPy 2.5.8 release
#18opened 10-02 08:26 by numpy-bot· merged 10-02 08:29session 10-02 08:23
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PERF: fast path transpose for exact ndarrays
#17opened 10-02 08:18 by numpy-bot· merged 10-02 08:21session 10-02 08:13
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REL: Prepare for the NumPy 2.5.7 release
#16opened 10-02 08:02 by numpy-bot· merged 10-02 08:06session 10-02 07:59
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PERF: fast path swapaxes for exact ndarrays
#15opened 10-02 07:53 by numpy-bot· merged 10-02 07:57session 10-02 07:48
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REL: Prepare for the NumPy 2.5.6 release
#14opened 10-02 07:30 by numpy-bot· merged 10-02 07:33session 10-02 07:21
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PERF: fast path scalar-axis flip
#13opened 10-02 07:27 by numpy-bot· merged 10-02 07:30session 10-02 07:21
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REL: Prepare for the NumPy 2.5.5 release
#12opened 10-02 07:16 by numpy-bot· merged 10-02 07:19session 10-02 07:02
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PERF: fast path rot90 for exact ndarrays
#11opened 10-02 07:12 by numpy-bot· merged 10-02 07:15session 10-02 07:02
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REL: Prepare for the NumPy 2.5.4 release
#10opened 10-02 06:46 by numpy-bot· merged 10-02 06:49session 10-02 06:45
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PERF: avoid redispatch in matrix_transpose
#9opened 10-02 06:32 by numpy-bot· merged 10-02 06:37session 10-02 06:27
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REL: Prepare for the NumPy 2.5.3 release
#8opened 10-02 06:19 by numpy-bot· merged 10-02 06:22session 10-02 06:18
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PERF: fast path flattened integer roll
#7opened 10-02 06:12 by numpy-bot· merged 10-02 06:16session 10-02 06:06
0
PERF: fast path scalar axes in moveaxis
#6opened 10-02 05:58 by numpy-bot· merged 10-02 06:01session 10-02 05:52
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REL: Prepare for the NumPy 2.5.2 release
#5opened 10-02 05:42 by numpy-bot· merged 10-02 05:47session 10-02 05:41
0
PERF: fast path scalar axis in expand_dims
#4opened 10-02 05:33 by numpy-bot· merged 10-02 05:39session 10-02 05:26
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PERF: fast path single-argument atleast_2d and atleast_3d
#3opened 10-02 05:18 by numpy-bot· merged 10-02 05:21session 10-02 05:12
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PERF: reuse slice objects in flip
#2opened 10-02 05:04 by numpy-bot· merged 10-02 05:07session 10-02 04:57
0
CI: add Forgejo no-BLAS core test
#1opened 10-02 04:49 by numpy-bot· merged 10-02 04:53session 10-02 04:48
0

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