An extension module implementing the fast marching method
Project description
scikit-fmm is a Python extension module which implements the fast marching method.
Signed distance functions
Travel time transforms (solutions to the Eikonal equation)
Extension velocities
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distributions
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file scikit-fmm-2022.3.26.tar.gz.
File metadata
- Download URL: scikit-fmm-2022.3.26.tar.gz
- Upload date:
- Size: 432.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.5.0.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c3155f96d733dea8791514b709762c61d2f7cfde31ed8d2b8c26ca167356de8e
|
|
| MD5 |
be54cb667ba5cccdea7374067442c045
|
|
| BLAKE2b-256 |
1f7a31ee565253701d5eed3411792288e5d3f639147b1a12858d7b9ef0bc3400
|
File details
Details for the file scikit_fmm-2022.3.26-cp310-cp310-win_amd64.whl.
File metadata
- Download URL: scikit_fmm-2022.3.26-cp310-cp310-win_amd64.whl
- Upload date:
- Size: 55.8 kB
- Tags: CPython 3.10, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.5.0.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
156c180c3c3a2d1d78b82ad2134418c6748bcb7cd031027b1e21e2b80a771d65
|
|
| MD5 |
5d864c669c41523c736f8b1e0834035a
|
|
| BLAKE2b-256 |
6bfe0026dc87756f3a792da0ea2323f600ead8b8a90b1012c54cab8e1037534c
|
File details
Details for the file scikit_fmm-2022.3.26-cp39-cp39-win_amd64.whl.
File metadata
- Download URL: scikit_fmm-2022.3.26-cp39-cp39-win_amd64.whl
- Upload date:
- Size: 55.8 kB
- Tags: CPython 3.9, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.5.0.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
fa1485aa9c5df5029e72f26d46cf4d8b4867bc3d1964d903cf7473cc71481064
|
|
| MD5 |
575b2cffe1bd3edace657dcb8ff4a342
|
|
| BLAKE2b-256 |
405d594b974c7c13a183b175513bdd6cfd279e0a36027441622d8592707addcc
|
File details
Details for the file scikit_fmm-2022.3.26-cp38-cp38-win_amd64.whl.
File metadata
- Download URL: scikit_fmm-2022.3.26-cp38-cp38-win_amd64.whl
- Upload date:
- Size: 54.2 kB
- Tags: CPython 3.8, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.5.0.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
b2d5489ec0711672432989ce53c620245c7a7b14af6857ef68b6c6ef063925e4
|
|
| MD5 |
f50ffb98ba9fc817e2c18a18b03411ef
|
|
| BLAKE2b-256 |
246611629ed0ee7cca1aa9baaa7df0a15cd96c6c930b99e013119c013bcebbc4
|
File details
Details for the file scikit_fmm-2022.3.26-cp37-cp37m-win_amd64.whl.
File metadata
- Download URL: scikit_fmm-2022.3.26-cp37-cp37m-win_amd64.whl
- Upload date:
- Size: 53.9 kB
- Tags: CPython 3.7m, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.5.0.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
19336f0e03bb65111de7fd33f3a0e15e25d1d4688b94c6c8e5e76d3f724564b5
|
|
| MD5 |
4338873220a637b4c641d068eb293c2d
|
|
| BLAKE2b-256 |
917561f88d016e3e1e84a6c44fad107c491897abef495593c806c8842d57df59
|
File details
Details for the file scikit_fmm-2022.3.26-cp36-cp36m-win_amd64.whl.
File metadata
- Download URL: scikit_fmm-2022.3.26-cp36-cp36m-win_amd64.whl
- Upload date:
- Size: 54.0 kB
- Tags: CPython 3.6m, Windows x86-64
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.4.2 importlib_metadata/4.8.1 pkginfo/1.5.0.1 requests/2.24.0 requests-toolbelt/0.9.1 tqdm/4.49.0 CPython/3.8.3
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
656d61f4301833900aaac33e6c17a5e9b19ac476d7a92590ac71ed3a62dc20ba
|
|
| MD5 |
cee5a2cd14c4ef0a24332e0e3ab2b1a1
|
|
| BLAKE2b-256 |
d79ca4932317374074b1ff97a1d4e7cc54aa4c1012d89ea11b33a91d0aa9b144
|
