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0.1.1 apebench-0.1.1-py3-none-any.whl

Wheel Details

Project: apebench
Version: 0.1.1
Filename: apebench-0.1.1-py3-none-any.whl
Download: [link]
Size: 47312
MD5: 1202d2e614d7d473aef243159d407289
SHA256: ad06abd3adfc4aa9c497a53650bc5eed86abe56ab24c7c523a31cd6ef9278731
Uploaded: 2024-11-09 08:49:22 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: apebench
Version: 0.1.1
Summary: Benchmark suite for Autoregressive Neural Emulators of PDEs in JAX.
Author: Felix Koehler
Project-Url: repository, https://github.com/Ceyron/apebench
Keywords: jax,sciml,deep-learning,pde,neural operator
Requires-Python: ~=3.10
Requires-Dist: jax (>=0.4.13)
Requires-Dist: jaxtyping (>=0.2.20)
Requires-Dist: typing-extensions (>=4.5.0)
Requires-Dist: equinox (>=0.11.3)
Requires-Dist: optax (>=0.2.0)
Requires-Dist: tqdm (>=4.63.2)
Requires-Dist: matplotlib (>=3.8.1)
Requires-Dist: pandas (>=2.2.0)
Requires-Dist: seaborn (>=0.13.0)
Requires-Dist: exponax (==0.1.0)
Requires-Dist: pdequinox (==0.1.2)
Requires-Dist: trainax (==0.0.2)
Description-Content-Type: text/markdown
License-File: LICENSE.txt
[Description omitted; length: 8372 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.3.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
apebench/__init__.py sha256=oPtEjoz-2pKmd2DZ2bUj1VHLLJeBCNT7g9ZYD1LhP6g 1273
apebench/__main__.py sha256=mCcTdE21yIUuGTazX9sM5gIxctw6kLjMpxFkbsQq0n4 60
apebench/_base_scenario.py sha256=EpoUCQd1LCawzHCe81kwHt3WlxN3MGuKmaqCPAgESGg 43831
apebench/_cli.py sha256=_gR8P6Llmx-3yQhJp2hwN-pAKxVVdzR_ePy-h20yK70 3916
apebench/_corrected_stepper.py sha256=HQHOLVinKqQt8N1hlbPLdsDrbPCHnlpIipKrvzGk9_Q 1263
apebench/_run.py sha256=vccuC8FHgrBUh8e34VKiFertWujOkff8EbfKVcqWL1s 12835
apebench/_scraper.py sha256=q6ihTsxFPD-h2-95zhvLkp6Vo5xWAywCKU1ibuBmNvE 6966
apebench/_utils.py sha256=k_9J_9ESiY641ppXDZizyY8daS8oe7MTL-t7KIQ-nZA 6714
apebench/components/__init__.py sha256=uxeOcIYrDxbq4wl3tErJu0FIp1HvTZyBMryJP8DRMOA 381
apebench/components/_activation_function.py sha256=yhLgw3eJibR8YfPFX8YZdt-BCLKBIWsfh5-zUMbcMmk 550
apebench/components/_architectures.py sha256=LGcTCDjrobubiwpFyzXpyG-FM-KkMl-rRzyBPvGm0ik 4964
apebench/components/_initial_condition.py sha256=-CgAQBQwe2lyqvOMv1dWgHN2JzEiky1NHa6zXzeKeQ8 1193
apebench/components/_metrics.py sha256=0Z32wiOGpwAHfQcAKrcOuCpgxjW1p49fnuCs5Sd1umU 4567
apebench/components/_optimization.py sha256=4dlj8dgtfK3YsOvuSlkl0Ik9V4OJLzp88ckNCIcgKlM 1425
apebench/scenarios/__init__.py sha256=USCvwXxpvQKTLi8fzvejFg4VzQr-bab5rQmIdXRb59Y 1462
apebench/scenarios/difficulty/__init__.py sha256=prr3FAiAvLwekKCYa2f1f-4xIkCl727Qd1tTuwTd1JY 925
apebench/scenarios/difficulty/_convection.py sha256=aaiwd8Onm6UtbRHKZf1fMRUbLY7r6mJjIlL_QR3h4Hw 3225
apebench/scenarios/difficulty/_linear.py sha256=H1BMQmsMwpCp9YVtAXXQg4ipm1Q8VnCTGzkLxvZQUlc 3022
apebench/scenarios/difficulty/_nonlinear.py sha256=tGOASrefBUtVwAMQkjITfMnBtO9uN03CKNMmwvdJVGc 3914
apebench/scenarios/normalized/__init__.py sha256=nca_cmKTmITVY6smedD9q6Ad5ZRDnDIVB_SpGY6910w 924
apebench/scenarios/normalized/_convection.py sha256=on4UEonIrT-3uagH7tPKPbQq-ERkn6Owh69cinDxNOY 3224
apebench/scenarios/normalized/_linear.py sha256=4RSQf8TkqB1mQb4luHvIaTjx-u-7balDJuJTaSiNMdA 3083
apebench/scenarios/normalized/_nonlinear.py sha256=1DvjAPVv_FWdKZ8aOyJBhfFa2nNmEYEVwQNoX19pi0M 3823
apebench/scenarios/physical/__init__.py sha256=rRg20tfaQHuP-CnljSACETXaFJIwKSuFg9-P7_MXW9I 1745
apebench/scenarios/physical/_convection.py sha256=bVTIc-7EvIcLQo3i1mzcEJnX7jsUZitb9OmxLDg25Zs 3083
apebench/scenarios/physical/_gray_scott.py sha256=MC0OeyY_RzHRshpUFwvpYjL0OcR7_ULXnuVsgQeFqtc 6040
apebench/scenarios/physical/_linear.py sha256=7EFz0eRIIJdR3o3MaAWTLtTVrmEg8WcOX9Zaquc_Kbk 3303
apebench/scenarios/physical/_navier_stokes.py sha256=2ILpjUzfl_--f7obErmSnCwPw3ZliMQfh0Z490iJlgc 3380
apebench/scenarios/physical/_nonlinear.py sha256=r82OJEHxkbmH1LmWB6xcJH5GsO8DHLHQmm0GVZOlhMY 3214
apebench/scenarios/physical/_poisson.py sha256=WgoAnnNcMXIlnZdwCpsb8hjs2q9vFUTQBwPzH4KzOaU 1160
apebench/scenarios/physical/_polynomial.py sha256=vT20YYdLfVbdiUd3_UyXRBNEhbvyr5vzcv4a_qoZ0sA 2039
apebench/scenarios/physical/_special_linear.py sha256=oL-aNHOhntAXyYQZD_l9Ixq5HpRuqNTexDa-A_pxsNI 7316
apebench/scenarios/physical/_swift_hohenberg.py sha256=GKf1isnGDuJsArdJlzyu80dOCrFjRULL2Z9sxSbk3Jg 1435
apebench-0.1.1.dist-info/LICENSE.txt sha256=lgpCXVtRRnbSt91Qp5nzWoVHEkhJg8MhEIqBJXqzRGQ 1069
apebench-0.1.1.dist-info/METADATA sha256=-48vOdFGYbscbQO6rdRXlnZ7j7rsQRZGz42MrMooIvo 9132
apebench-0.1.1.dist-info/WHEEL sha256=P9jw-gEje8ByB7_hXoICnHtVCrEwMQh-630tKvQWehc 91
apebench-0.1.1.dist-info/entry_points.txt sha256=9z8f7SBIuc5uQlVkXLueBA2rIoOufzW7mze7HXRQ9vs 47
apebench-0.1.1.dist-info/top_level.txt sha256=DszJQDnc6g5NLho2Dj54nhSUwYcW3PhSDxSNasU189g 9
apebench-0.1.1.dist-info/RECORD — —

top_level.txt

apebench

entry_points.txt

[console_scripts]
apebench = apebench._cli:app