fmm3dpy

This pacakge contains basic routines for Laplace, Helmholtz, Stokes and Maxwell fast multipole methods in three dimensions

These details have not been verified by PyPI

Project links

Homepage

Project description

Flatiron Institute Fast Multipole Libraries

This codebase is a set of libraries to compute N-body interactions governed by the Laplace and Helmholtz equations, to a specified precision, in three dimensions, on a multi-core shared-memory machine.

Please see the online documentation, or its equivalent user manual.

Project details

These details have not been verified by PyPI

Project links

Homepage

Release history Release notifications | RSS feed

This version

1.0.0

Nov 16, 2021

0.0.5

Aug 20, 2020

0.0.4

Aug 19, 2020

0.0.3

Jul 31, 2020

0.0.2

Jul 31, 2020

0.0.1

Jul 24, 2020

0.0.0

Jul 24, 2020

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

fmm3dpy-1.0.0-cp311-cp311-win_amd64.whl (7.0 MB view hashes)

Uploaded Jan 4, 2023 CPython 3.11 Windows x86-64

fmm3dpy-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view hashes)

Uploaded Jan 4, 2023 CPython 3.11 manylinux: glibc 2.17+ x86-64

fmm3dpy-1.0.0-cp311-cp311-macosx_10_9_universal2.whl (6.0 MB view hashes)

Uploaded Jan 4, 2023 CPython 3.11 macOS 10.9+ universal2 (ARM64, x86-64)

fmm3dpy-1.0.0-cp310-cp310-win_amd64.whl (7.0 MB view hashes)

Uploaded Jan 4, 2023 CPython 3.10 Windows x86-64

fmm3dpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view hashes)

Uploaded Jan 4, 2023 CPython 3.10 manylinux: glibc 2.17+ x86-64

fmm3dpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl (6.0 MB view hashes)

Uploaded Jan 4, 2023 CPython 3.10 macOS 10.9+ universal2 (ARM64, x86-64)

fmm3dpy-1.0.0-cp39-cp39-win_amd64.whl (6.8 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.9 Windows x86-64

fmm3dpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.9 manylinux: glibc 2.17+ x86-64

fmm3dpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl (8.4 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.9 macOS 10.9+ x86-64

fmm3dpy-1.0.0-cp38-cp38-win_amd64.whl (6.8 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.8 Windows x86-64

fmm3dpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.8 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.8 manylinux: glibc 2.17+ x86-64

fmm3dpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl (8.4 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.8 macOS 10.9+ x86-64

fmm3dpy-1.0.0-cp37-cp37m-win_amd64.whl (6.9 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.7m Windows x86-64

fmm3dpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.7 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.7m manylinux: glibc 2.17+ x86-64

fmm3dpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl (8.4 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.7m macOS 10.9+ x86-64

fmm3dpy-1.0.0-cp36-cp36m-win_amd64.whl (6.9 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.6m Windows x86-64

fmm3dpy-1.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.7 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.6m manylinux: glibc 2.17+ x86-64

fmm3dpy-1.0.0-cp36-cp36m-macosx_10_9_x86_64.whl (8.4 MB view hashes)

Uploaded Nov 16, 2021 CPython 3.6m macOS 10.9+ x86-64

Hashes for fmm3dpy-1.0.0-cp311-cp311-win_amd64.whl

Hashes for fmm3dpy-1.0.0-cp311-cp311-win_amd64.whl
Algorithm	Hash digest
SHA256	`74c6cd667e7577f1c57aadf21ab11a941032592969e0de27c43266ffcb5886c2`
MD5	`e949382455129a6f8fc983f67e387827`
BLAKE2b-256	`c935422a9d756ac35a2b48aeac5535d55c979638beb084d8e8db2e48330b6827`

Hashes for fmm3dpy-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`41f0341a44503d3a13fea3ee39a9ec6f7a1d3eaeea5db505566ef5b8ad2fddec`
MD5	`957dac4016521e2805f18cbd3031b58d`
BLAKE2b-256	`78fed5da62838cdf05e311f56a9a24f40b77b72c88465741b85a07064ecad7e7`

Hashes for fmm3dpy-1.0.0-cp311-cp311-macosx_10_9_universal2.whl

Hashes for fmm3dpy-1.0.0-cp311-cp311-macosx_10_9_universal2.whl
Algorithm	Hash digest
SHA256	`062c716021b0545c858a5af044a7e700aedf44cae81d78a5b2f76553ac470cde`
MD5	`3195b0678e4f088a9e5faa06fe16b2ed`
BLAKE2b-256	`04db9287ed7ceff49143c3df3f3cbd1fdae313c98644eff20bb33deca16ba6b8`

Hashes for fmm3dpy-1.0.0-cp310-cp310-win_amd64.whl

Hashes for fmm3dpy-1.0.0-cp310-cp310-win_amd64.whl
Algorithm	Hash digest
SHA256	`6bf213741ab69286320dd8484d65c694e7cab9e3dda21f07701796ab13a68a6a`
MD5	`b1f31ab00ddc48ce327adb3b480cdac9`
BLAKE2b-256	`557af048f884480ed2f71692174f79b41f3e64f215217bfd94a75bb0c9eddd26`

Hashes for fmm3dpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`478bf25e248981c176d2d800e3fb23b7347e269c8a97d95bba48bd57e0975e3d`
MD5	`d443838d3e8827941f2a6e4739dc53ee`
BLAKE2b-256	`6eab11fc9152210fcac2c0429fd259deef84915e42723b570823cf644b604a61`

Hashes for fmm3dpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl

Hashes for fmm3dpy-1.0.0-cp310-cp310-macosx_10_9_universal2.whl
Algorithm	Hash digest
SHA256	`770d0161989c6292ece835ad4b367548e3a1b0a352b31b914e9829666f797d63`
MD5	`6a7890752afc91bcadcfa02ae14e96f8`
BLAKE2b-256	`94ea54ed1f3b280b4d18700aac056406fbd2d02464a171cb6dbae7414f4d70ec`

Hashes for fmm3dpy-1.0.0-cp39-cp39-win_amd64.whl

Hashes for fmm3dpy-1.0.0-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`1dc3e1fdef9c158baed7ff2c66bfecdb3cb4728dca78648022eb5bf191b74037`
MD5	`cda448842ead9870b470de22a7f2ca27`
BLAKE2b-256	`aa3a94e68ba5690c069810caa2285052c6444c43bf55de04ed7df68d9842500d`

Hashes for fmm3dpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`df9190e42f774ff4d25997c01e848614a19ea3727da59a528ac1d3a2a07b5238`
MD5	`0b2c442dd0f9d26ac49bb914b893974e`
BLAKE2b-256	`bcc9d537e3cdb50dd864d3d9320a618c3ac1b47512a9bc494d48870c4a2961f8`

Hashes for fmm3dpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`f5c58e42a0ccfc94a1b7d5599be74fc959f1654555a4b9f61a248befb7ce6292`
MD5	`58c985d276fa3a1034dc99538c2d65b1`
BLAKE2b-256	`d3927e9555d513832d759e6e37e100129affdff7ca2030afc7f2fe61858e408a`

Hashes for fmm3dpy-1.0.0-cp38-cp38-win_amd64.whl

Hashes for fmm3dpy-1.0.0-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`44ab42656cf33fc2f8171e2f3d2d33d18bb9da1c6284f5526ad73bf561800dcb`
MD5	`1090b33adc3b9796b17da7669ddaae1d`
BLAKE2b-256	`2090ce4b3434eb90305e7109d718bbeb611a6e678411b40861440afa9f872e75`

Hashes for fmm3dpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`0cdd29b62ec5b23f4960f34b0571749ce1903d98d8793427070fbc637e3dd043`
MD5	`a1bf2a1be28981ac1e226c4ef0cffa30`
BLAKE2b-256	`71e8bb6986d94449719c7cd353eb3553bbaaf843cfedde7537f1f252c80c700d`

Hashes for fmm3dpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`1abfd4421d006c6d68954a770eaa775f45fa469e68d1b259653c01be9c90b173`
MD5	`ab480b1c772d57d09cc7bd426f7a12ff`
BLAKE2b-256	`5469f4d1c01d22ba9daf402d9ca054d7cec97e22f372fc14681ac9fa6fcf8caa`

Hashes for fmm3dpy-1.0.0-cp37-cp37m-win_amd64.whl

Hashes for fmm3dpy-1.0.0-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`49cb5e29ec3430d5723e5ab06dfd410885ca23ba63f4b5c946f3649eb6479268`
MD5	`a3f322a67024003bf78ce8be24344319`
BLAKE2b-256	`e7bb1d591df398bbfd0c3131fdfbf134a7d9845e7e5b1f264db50fe2377c0b53`

Hashes for fmm3dpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`7f117c4c8dfd18f59b49ce9052db31b8e7e18665552c9d29114085b9425d16f3`
MD5	`7022ab812d85255633f041afd1bbae9c`
BLAKE2b-256	`441c4551e1a463073720d5ab2443a6e511b2fa7c5c2995e8d894089f2c721050`

Hashes for fmm3dpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`ac1f3099f7785d057125f03e60996cc9f6484d6eb4a45c69808728078e1d23e4`
MD5	`6ce881214a58d92e9284a29518287215`
BLAKE2b-256	`65998f4edbacbe74a5a4bf2961d4b4ac9019b1ae55cc0a4ef8ea6462318f5707`

Hashes for fmm3dpy-1.0.0-cp36-cp36m-win_amd64.whl

Hashes for fmm3dpy-1.0.0-cp36-cp36m-win_amd64.whl
Algorithm	Hash digest
SHA256	`625c6aea341e4086e9294eb7d31043ea3e96a16a8acf7308824bc96abd3fc23a`
MD5	`5da4f77b44442da638024ed2f5c7561b`
BLAKE2b-256	`5883b390b55ca2bf33121c77c319c025fa16f5d62a30642d776b5423c5c9a963`

Hashes for fmm3dpy-1.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm	Hash digest
SHA256	`376a33f6ca871bf076b5f9a931ccdff2e413b5957912ee943fbd5a942ed8694c`
MD5	`243c7aae3f5458d8f848f75c7f647cd9`
BLAKE2b-256	`a248a9df06d68a26cf35fb17491fbfa83ee8b067ab1c57fd4fe24e577aa0e019`

Hashes for fmm3dpy-1.0.0-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for fmm3dpy-1.0.0-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`efe18c71a5f2fae5521cbb7c08f9085cedbcc70ad08df6c291defacc068de0a7`
MD5	`9378666caf4f2a93c115907d7d3ff549`
BLAKE2b-256	`b21dee1245f75481eb10413a0861e4a2ed4c1afb1b6376b72ec405e60f0f532b`