Wheelodex » Projects » meent

meent

View on PyPI — Reverse Dependencies (0)

0.12.0 meent-0.12.0-py3-none-any.whl

Wheel Details

Project: meent
Version: 0.12.0
Filename: meent-0.12.0-py3-none-any.whl
Download: [link]
Size: 109679
MD5: ca041ff0d9edc7673cc351dc8b6932bd
SHA256: 2b52e7c926448d21daadb17db08a28086dacf488151994c2db79c19284448f94
Uploaded: 2024-12-20 13:23:49 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt

METADATA

Metadata-Version: 2.1
Name: meent
Version: 0.12.0
Summary: Electromagnetic simulation (RCWA) & optimization package in Python
Author: KC ML2
Author-Email: yongha[at]kc-ml2.com
Home-Page: https://github.com/kc-ml2/meent
Requires-Python: >=3.8
Requires-Dist: numpy (>=1.23.3)
Requires-Dist: scipy (>=1.9.1)
Requires-Dist: jax (>=0.4.1); extra == "jax"
Requires-Dist: jaxlib (>=0.4.1); extra == "jax"
Requires-Dist: optax (>=0.1.4); extra == "jax"
Requires-Dist: tqdm (>=4.64.1); extra == "jax"
Requires-Dist: torch (>=2.0.0); extra == "pytorch"
Requires-Dist: tqdm (>=4.64.1); extra == "pytorch"
Provides-Extra: jax
Provides-Extra: pytorch
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3450 characters]

WHEEL

Wheel-Version: 1.0
Generator: setuptools (75.6.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
meent/__init__.py sha256=4MBJXPt4cTuu_Ji5jZTOpfc-0MTr-IzzFWUNhSAo61E 111
meent/main.py sha256=1GTi6svmdxs-FyIcF-nyFq6p3-0UKMAOjK_EDH-cklA 3697
meent/nk_data/filmetrics/Al2O3.txt sha256=NbyRlGh9_BjpmK5ihhbXBrr3JeNBJSDNi4pOvYCJVfA 798
meent/nk_data/filmetrics/Si.txt sha256=SjVuyHBVrgdoPjmHUv00qrjzC_HxR8c2b4vJjXzsLD4 4168
meent/nk_data/filmetrics/Si3N4.txt sha256=BzlR8PEncQUx5O3YykvpTFtQvr0-gF9y0ca76tKibzo 3240
meent/nk_data/filmetrics/SiO2.txt sha256=ESXNqako6yKvSIb6uKuUPrSHwXQaedF73UxnfPOwgx4 3773
meent/nk_data/matlab/p_Si.mat sha256=5fvK0K42BSWdWpqqMLKfxy2v6MvE_QxzNsaAX22jz3U 11222
meent/on_jax/__init__.py sha256=gapTxWdFiK-zPWE0i060RE8uVDc3yZLlJMPPuuYkeTY 296
meent/on_jax/mee.py sha256=cCWHwRlGGgPH198FAKFMCXaUmEuO0_O-FTCZLWGsg10 1154
meent/on_jax/emsolver/__init__.py sha256=079ZsKGPhAfY-SOUXtYr_tbxWwO-oJrnAtXS-_wZXOQ 216
meent/on_jax/emsolver/_base.py sha256=sMZdxCEsP884lSjY30NZPeSzRmIHVtmJMeX_aqxeOFE 17610
meent/on_jax/emsolver/convolution_matrix.py sha256=J5R8ENaJ3S-Mdu07QcfVAER9eXZ2N-vOrYHZ-rVPMwU 5633
meent/on_jax/emsolver/field_distribution.py sha256=o3OgvrLK8C07xemyKqUc5AcgMOaKkYsTK4mb0OaPIiw 12786
meent/on_jax/emsolver/fourier_analysis.py sha256=fix4u_3QWQnE_nxdtDPGN9F0g-0jvwFytPGKBomNv8g 3617
meent/on_jax/emsolver/primitives.py sha256=8wTZqmB7LdUWmwU24Zq6bt_ubFn78pElJnE9i31-3XY 2469
meent/on_jax/emsolver/rcwa.py sha256=Kf9Acv8u4sn8iW2NbseqnGcIEJi-0uLXNg1p3IDXdyA 12558
meent/on_jax/emsolver/scattering_method.py sha256=Q0AJBTsJGliTp_9QqhK7KqjDy2rbyMbj_hIDvqu5PEw 6306
meent/on_jax/emsolver/smm_util.py sha256=btcf6CtZ-vP3cg-3p8ewyGd4fKUp71Ag9JMDB2r8e28 10519
meent/on_jax/emsolver/transfer_method.py sha256=cXdLCnzlMAuG7OJj0ynhx69XMjk_6iPzk16Yo4_Q6TI 23640
meent/on_jax/modeler/__init__.py sha256=IvDmkD8Xp0DVlutBmJUSzHKt6aQAi0arcgefhqbpwZk 321
meent/on_jax/modeler/modeling.py sha256=HW0z8wC_OcXF-rdXvr8RXYLdYnh99x_VRVDan3itXZc 28716
meent/on_jax/optimizer/__init__.py sha256=2qKlSSXIXbfbRGOoczSY3rZCsmXhcXsUyUMYGGB6n3A 261
meent/on_jax/optimizer/optimizer.py sha256=4VvBapH4n5CTi-37m1fyH3qOIyMyYfiGrGoOAiLaVqo 1685
meent/on_numpy/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
meent/on_numpy/mee.py sha256=QfHz8zHa3eRZaUXaeBezWVS3hi-8AqBTGRnfbpKYoYg 960
meent/on_numpy/emsolver/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
meent/on_numpy/emsolver/_base.py sha256=WZk9TZXI_QO63I-wNR72SEChx8qE4JyxA47gPjUcz-4 15003
meent/on_numpy/emsolver/convolution_matrix.py sha256=beisoKMyOj1b9SCZBezSLAz3P45QRqPBY5TNbxZ2O_s 4999
meent/on_numpy/emsolver/field_distribution.py sha256=YI1IaatokmtUKnRWbUWdwXgC3UAr-_KFLu68Q7WuhWY 12764
meent/on_numpy/emsolver/fourier_analysis.py sha256=XWEAIBTE2-kLncHevjPNFAivqJ6M2t0BRH8KgqknmT8 15420
meent/on_numpy/emsolver/primitives.py sha256=tV1racQXwX-uVEYt0xB03D8SPSmUZQ_oLdfChliBsp0 158
meent/on_numpy/emsolver/rcwa.py sha256=1OVWlhEuhO-UA2TsvLV6iWzXxAoZPwKjyTMhINLGn_Y 8908
meent/on_numpy/emsolver/scattering_method.py sha256=eXF-vpnYrseJa3gMtEA7-1m5uw8Z7JojJEy6fVPhLJk 7857
meent/on_numpy/emsolver/smm_util.py sha256=gIDaIE0CFbpZvghv3Wnv1IOwS9ac2evOmtSNXfS1Tk0 10529
meent/on_numpy/emsolver/transfer_method.py sha256=uSiYEuVtRs1wACbUoUMK0Su7Kc1xyvDFdN1vaQtoMhM 19760
meent/on_numpy/modeler/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
meent/on_numpy/modeler/modeling.py sha256=FEUUD3pJSjDBVJRKy3HhhpQvRxt2cWXhaMoZdyXgxM4 28517
meent/on_torch/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
meent/on_torch/mee.py sha256=fVdgBgug0GiimAGIcoOBUDx7Fuzet4ojWuLdkghREAc 1561
meent/on_torch/emsolver/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
meent/on_torch/emsolver/_base.py sha256=aQWS61hVfl77nPItvfxUXmM6JysUBDCENMWNAQmGiLU 17401
meent/on_torch/emsolver/convolution_matrix.py sha256=gJ7FfbSIJVHhs6WivAyqKhR0q_yHznYufOHLHRiXaj4 7622
meent/on_torch/emsolver/field_distribution.py sha256=Otiw7cbNowCplb7pbBuCA6XV1FV7mstTRJ13-dn23vk 17985
meent/on_torch/emsolver/fourier_analysis.py sha256=cQqc7A7apL_1AXUOaO70Jqed-6BQppXX_DmvxXFzN38 16207
meent/on_torch/emsolver/primitives.py sha256=OVAFzcDocamTRF8_StVuqWFuEUQtMp52zt0N3qeevDM 1668
meent/on_torch/emsolver/rcwa.py sha256=H-jMdQAypQuFgSrT424WznVVjZjsFcVHsgyNhVWOrOk 8982
meent/on_torch/emsolver/scattering_method.py sha256=NSOamiDXy91iIrVO_Yi8paEA7gHk45YnpaKrVdytRg4 6312
meent/on_torch/emsolver/smm_util.py sha256=unc3YBaRQI5xUEMu2cs_uQGEZtNAWL7GKIc5nDryBdk 10489
meent/on_torch/emsolver/transfer_method.py sha256=AJKJZFCO3Z70LC-tJvt323u6pijgM4OvSA9A5KQJjmM 24322
meent/on_torch/modeler/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
meent/on_torch/modeler/modeling.py sha256=Ip8yA7is35IH-9d3uNkkcmO96pgvEGDcmvkOEGqkPH0 23771
meent/on_torch/optimizer/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
meent/on_torch/optimizer/optimizer.py sha256=AtypKNxaMdsn84YQnoovlDMHHPSBsLqThwKI9oCy3YI 1344
meent-0.12.0.dist-info/LICENSE sha256=WA76qvstVfGXSm52yUeQTjT3L0urikbXHip0y0jXN-8 1060
meent-0.12.0.dist-info/METADATA sha256=EHUjfh6guiKnDppQ7y5XbkEoBAi1nxL61oKIpfaMt3Q 4127
meent-0.12.0.dist-info/WHEEL sha256=PZUExdf71Ui_so67QXpySuHtCi3-J3wvF4ORK6k_S8U 91
meent-0.12.0.dist-info/top_level.txt sha256=Su_O8zjnxGgUnqOVCr1Nx5zfwHMLUNUQySSLXCml8MI 6
meent-0.12.0.dist-info/RECORD — —

top_level.txt

meent