Accelerated Microstructure Imaging via Convex Optimization (AMICO)

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for daducci from gravatar.com daducci Avatar for frheault from gravatar.com frheault Avatar for nightwnvol from gravatar.com nightwnvol

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License (Proprietary License)
  • Author: Alessandro Daducci
  • Maintainer: Alessandro Daducci
  • Tags Neuroimaging, Diffusion MRI, Microstructure Imaging
  • Requires: Python >=3.6
Classifiers

Project description

AMICO - Accelerated Microstructure Imaging via Convex Optimization

PyPI PyPI - Downloads PyPI - License DOI

GitHub watchers GitHub forks GitHub Repo stars GitHub contributors GitHub Workflow Status

Static Badge Static Badge

Implementation of the linear framework for Accelerated Microstructure Imaging via Convex Optimization (AMICO) described in Daducci, Alessandro, et al. 2015

Documentation

The documentation, including the installation guide as well as a series of demos/tutorials to show how to use AMICO to fit different models to your data, can be found in the wiki.

Support

For questions, requesting assistance, suggesting enhancements or new ideas as well as for reporting bugs, please open an issue.

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for daducci from gravatar.com daducci Avatar for frheault from gravatar.com frheault Avatar for nightwnvol from gravatar.com nightwnvol

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: Other/Proprietary License (Proprietary License)
  • Author: Alessandro Daducci
  • Maintainer: Alessandro Daducci
  • Tags Neuroimaging, Diffusion MRI, Microstructure Imaging
  • Requires: Python >=3.6
Classifiers

Release history Release notifications | RSS feed

2.0.3

This version

2.0.2

2.0.1

2.0.0

1.5.4

1.5.3

1.5.2

1.5.1

1.5.0

1.4.4

1.4.3

1.4.2

1.4.1

1.4.0

1.3.2

1.3.1

1.3.0

1.2.10

1.2.9

1.2.8

1.2.7

1.2.6

1.2.5.0

1.2.4.0

1.2.3.4

Download files

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

Source Distribution

dmri_amico-2.0.2.tar.gz (3.7 MB view details)

Uploaded Source

Built Distributions

dmri_amico-2.0.2-cp312-cp312-win_amd64.whl (16.3 MB view details)

Uploaded CPython 3.12 Windows x86-64

dmri_amico-2.0.2-cp312-cp312-win32.whl (10.4 MB view details)

Uploaded CPython 3.12 Windows x86

dmri_amico-2.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.5 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

dmri_amico-2.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.0 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ ARM64

dmri_amico-2.0.2-cp312-cp312-macosx_12_0_x86_64.whl (16.7 MB view details)

Uploaded CPython 3.12 macOS 12.0+ x86-64

dmri_amico-2.0.2-cp312-cp312-macosx_12_0_arm64.whl (10.6 MB view details)

Uploaded CPython 3.12 macOS 12.0+ ARM64

dmri_amico-2.0.2-cp311-cp311-win_amd64.whl (16.3 MB view details)

Uploaded CPython 3.11 Windows x86-64

dmri_amico-2.0.2-cp311-cp311-win32.whl (10.5 MB view details)

Uploaded CPython 3.11 Windows x86

dmri_amico-2.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.7 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

dmri_amico-2.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (14.2 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ ARM64

dmri_amico-2.0.2-cp311-cp311-macosx_12_0_x86_64.whl (16.8 MB view details)

Uploaded CPython 3.11 macOS 12.0+ x86-64

dmri_amico-2.0.2-cp311-cp311-macosx_12_0_arm64.whl (10.6 MB view details)

Uploaded CPython 3.11 macOS 12.0+ ARM64

dmri_amico-2.0.2-cp310-cp310-win_amd64.whl (16.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

dmri_amico-2.0.2-cp310-cp310-win32.whl (10.5 MB view details)

Uploaded CPython 3.10 Windows x86

dmri_amico-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

dmri_amico-2.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.8 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ ARM64

dmri_amico-2.0.2-cp310-cp310-macosx_12_0_x86_64.whl (16.8 MB view details)

Uploaded CPython 3.10 macOS 12.0+ x86-64

dmri_amico-2.0.2-cp310-cp310-macosx_12_0_arm64.whl (10.6 MB view details)

Uploaded CPython 3.10 macOS 12.0+ ARM64

dmri_amico-2.0.2-cp39-cp39-win_amd64.whl (16.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

dmri_amico-2.0.2-cp39-cp39-win32.whl (10.5 MB view details)

Uploaded CPython 3.9 Windows x86

dmri_amico-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

dmri_amico-2.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.8 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ ARM64

dmri_amico-2.0.2-cp39-cp39-macosx_12_0_x86_64.whl (16.8 MB view details)

Uploaded CPython 3.9 macOS 12.0+ x86-64

dmri_amico-2.0.2-cp39-cp39-macosx_12_0_arm64.whl (10.6 MB view details)

Uploaded CPython 3.9 macOS 12.0+ ARM64

dmri_amico-2.0.2-cp38-cp38-win_amd64.whl (16.4 MB view details)

Uploaded CPython 3.8 Windows x86-64

dmri_amico-2.0.2-cp38-cp38-win32.whl (10.5 MB view details)

Uploaded CPython 3.8 Windows x86

dmri_amico-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

dmri_amico-2.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.9 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.17+ ARM64

dmri_amico-2.0.2-cp38-cp38-macosx_12_0_x86_64.whl (16.7 MB view details)

Uploaded CPython 3.8 macOS 12.0+ x86-64

dmri_amico-2.0.2-cp38-cp38-macosx_12_0_arm64.whl (10.6 MB view details)

Uploaded CPython 3.8 macOS 12.0+ ARM64

dmri_amico-2.0.2-cp37-cp37m-win_amd64.whl (16.3 MB view details)

Uploaded CPython 3.7m Windows x86-64

dmri_amico-2.0.2-cp37-cp37m-win32.whl (10.5 MB view details)

Uploaded CPython 3.7m Windows x86

dmri_amico-2.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.0 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ x86-64

dmri_amico-2.0.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.17+ ARM64

dmri_amico-2.0.2-cp37-cp37m-macosx_12_0_x86_64.whl (16.7 MB view details)

Uploaded CPython 3.7m macOS 12.0+ x86-64

dmri_amico-2.0.2-cp36-cp36m-win_amd64.whl (16.5 MB view details)

Uploaded CPython 3.6m Windows x86-64

dmri_amico-2.0.2-cp36-cp36m-win32.whl (10.5 MB view details)

Uploaded CPython 3.6m Windows x86

dmri_amico-2.0.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (16.9 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ x86-64

dmri_amico-2.0.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (13.4 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.17+ ARM64

dmri_amico-2.0.2-cp36-cp36m-macosx_12_0_x86_64.whl (16.7 MB view details)

Uploaded CPython 3.6m macOS 12.0+ x86-64

File details

Details for the file dmri_amico-2.0.2.tar.gz.

File metadata

  • Download URL: dmri_amico-2.0.2.tar.gz
  • Upload date:
  • Size: 3.7 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for dmri_amico-2.0.2.tar.gz
Algorithm Hash digest
SHA256 8df49ec1eb276d4c5b30d3aeb61b312a05f43fd1a70d2ec0d4322deddb2bd620
MD5 927264848ea337ddfdd68cd9906ad877
BLAKE2b-256 1ad21ab72f96314e4575cd0497612c84f723cf99d0e90d71ea91115c757f861e

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 a05bfd9390d9fdd6fe02bbfa0fe421ed07a12ef224cc55f6c172ec0fac875d5a
MD5 4bd99ab7d3aa98e4d28726ea46b840a7
BLAKE2b-256 dd96de12b9a0307fe6885ce88024eb10558113fa4c90a2731ba9a70daaa882f4

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp312-cp312-win32.whl.

File metadata

  • Download URL: dmri_amico-2.0.2-cp312-cp312-win32.whl
  • Upload date:
  • Size: 10.4 MB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for dmri_amico-2.0.2-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 3c313f39f67a0e5338eaf02fbdce5f411d1c332fc07f203df7bec04352135644
MD5 c187aa4d99e4ac540158b0b4d424025f
BLAKE2b-256 8a1bfc487a5f2f2ae44724e070b9be139d314febe2d635d255be8acba9a3ddfe

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0d541d7f0b8d764203e0872d09992cd6025d6c95d3718aecd59ca37584d03fe0
MD5 e297d4ed972e694b9b064abd573d9a63
BLAKE2b-256 48811f94b15c1744446d897529e10003d940dc0847e004a52c18c805b643329f

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7fc8224c438c90f3f5f34893db6dc241ffd9604dd2f6325a6acf9b7dd19bc82b
MD5 051a3fd6bc2f469c35413c07f956cc20
BLAKE2b-256 d3183d87fcf592fcf50d49b7741ed6daadfb2e34e1fa3892ed976fb10c757a6e

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp312-cp312-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp312-cp312-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 834d7f995816001b51e95e9f1a01cd4b5ce461b823cc90e2cd97be49a5c40199
MD5 0eda1c97b1496f64a7cb8cecf202bc88
BLAKE2b-256 79096a4e2d971260e51bec258c28501af5f608a6f77dbdc1364864dfbdbf631b

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp312-cp312-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp312-cp312-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 5bfb6945e3f5c497e37d646fb5d3b53051e5f5e8d3ac6a0fe14866cb9eae4e0b
MD5 3158e9ac429ad71138e8b367a6d5ed18
BLAKE2b-256 fcbb7008c69e755915fc2aba909f7811f5f8f6bec9526d625126ce0e320cc316

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 879328d5a311db94fe82af638615039b1cdc49b82305505930158f363666a249
MD5 98c5f605f0a8560da9a54bd7ef279713
BLAKE2b-256 91062edd0ae49a4537c8ebf9ceae5a33167a6285099eee85a8d2328ba072ccb3

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp311-cp311-win32.whl.

File metadata

  • Download URL: dmri_amico-2.0.2-cp311-cp311-win32.whl
  • Upload date:
  • Size: 10.5 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for dmri_amico-2.0.2-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 882a93931de3be30ed8e3fcfcc43df531e85b5e34ca017aa4b2d8773f447abb1
MD5 ddf2f5054110a03068762299f8ca3450
BLAKE2b-256 7329d644570ca8222987a9c3475e1f5a92dc06f21b935bf780d1777187ef4524

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fb5ef9469cabee63b4993cc9c57da0d99c28820ac6b81862788a12f44c75b116
MD5 d9695245be0a3e3492a02888e6a37d82
BLAKE2b-256 10b62ade2335acf17cdd71c32f007481d462de5f5967737f4614ff3355cdbab3

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b60072187a7d5ee21ed77d57b77a448f345ff787ceb8ea36aa5a08bade689067
MD5 e1d5d48f24c7cb3f458fcd3e0e6b5678
BLAKE2b-256 432a2644178fe31618734cb709f0e9b9cbdb9b212efa4219bee00e2214c07cd5

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp311-cp311-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp311-cp311-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 da2c78954edd967687aa6c70d1065aab097e1afce70eb8cd9c45e7d6ea8ab4b4
MD5 40a59fc6ed7aaa5d4cb6cc06624747a1
BLAKE2b-256 41ac2383572a7490993b2df4b9b695e86a2252ebf9de0cfd4d9f57c32bfd3e34

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp311-cp311-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp311-cp311-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 00ecc5b081beaaebc0901938f7b4ae63360d508637da854b6d33603047d27858
MD5 b1a6e85e228ef372c71c753a4bf12079
BLAKE2b-256 38c506141d1dfd98331edcd72a65c702515789334875a5d165f3ab9b53b9d1bc

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 b564164e3f940f175c3f81d5ec7ff801a5eb35e320dfacf2375faf8919b8f439
MD5 7fcf1ba782d8b954294c5a6fb49e51b4
BLAKE2b-256 4bdd4f4654367107b818bf589ce5ed8dde23b19ada6674abb8dee2803f2abee6

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp310-cp310-win32.whl.

File metadata

  • Download URL: dmri_amico-2.0.2-cp310-cp310-win32.whl
  • Upload date:
  • Size: 10.5 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for dmri_amico-2.0.2-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 50e6b1d1c9d29a7dcfe587d85483f5dd37fe3424128e5091aa5270f794a09185
MD5 6a8a27cd057bfdf050337fbcb3eba6c1
BLAKE2b-256 a5bad5e76e0f50cc79783063ebbbf4ab018431a669785a24f4edcc9551e01365

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 dc1a997a4962da58ab2f4fbe7e3e14611e7d9ad6845d91e5ae4dfd2675d08c17
MD5 1f928d8accb69308cbee029f2ed8cdc5
BLAKE2b-256 a37f3e924d6d5d413e34762cc63c77caa825a268b36448516c824b2a6330625e

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ec0aa5f3f9401ee9812f593f8b22f11116c437dd7ecbc543f6111017f368ebf4
MD5 541c43e0120980f2709e6bb945db44dc
BLAKE2b-256 3845cba97a4b1338d56bf051485e726c3d2bb5accac2f52ef0d4cd488a53474e

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp310-cp310-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp310-cp310-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 1c22a75fcd536cb8147c9c4ba72acf7850994e8a3e1e599816af7d597b6d7f8b
MD5 b53407d7fb06438e2cf3ac4529b047e6
BLAKE2b-256 1e4a3e0e5ec49271303ac7cfc6ee65039e10d23f20f36b4722b126d438841b22

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp310-cp310-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp310-cp310-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 25466414bda48426ab8295d811936b7d7258dbf9c8a3c0e50db2dd26a1cc2b6c
MD5 033628f24a06f49910b50be395573308
BLAKE2b-256 a082de3825a18b2ae718c12ffba9f8e551358d7a4ffa42367539332ec9424009

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 0e8997eb4cca617106ae7722160693f4e09bda2c34c072355da9b8e9d51ade66
MD5 bad696530f2d3b5468ed5623ac07b887
BLAKE2b-256 3d3a394602e10416cb4a64565db562aa1a4473996462df9b749a005afa37f4b9

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp39-cp39-win32.whl.

File metadata

  • Download URL: dmri_amico-2.0.2-cp39-cp39-win32.whl
  • Upload date:
  • Size: 10.5 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for dmri_amico-2.0.2-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 53e262d6bedd7f75c1c4529df4ebf3db0e8523d5e03c2ff199fe5d3047251b2f
MD5 7978f1151d58a85b783bb4e6bc469022
BLAKE2b-256 b4561d3cc084453826dbd50931bad0860219b9f3104d677f13107e9ea99c6696

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0dc8985aad28e4afadcade19ff8d837b1bb21c2cfdf264ef47d5b5cfbca93e8f
MD5 d4fb23bc49dafb28f5f2f6bb5c8f2a3c
BLAKE2b-256 da6cd91e5d14915c718a052c3b098090fcca4ebb5a37988f5898875596b6692e

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 6ccaeff2ff09911f41eac47bafe6a46f8280e08398a387b16289deee2c92b71f
MD5 1c1b55310b4ce685328e5a29d86a60aa
BLAKE2b-256 7f05061ba53473a737f42559bc9891aaaf3e46d020c42c0032b5844461f8c8b1

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp39-cp39-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp39-cp39-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 809b60c27a7df2c2d47a9fa3d95a8b1b042bfdc9c2454416eb4d61cc31db10ab
MD5 616a711af22c91f9bcf02cc6012bd326
BLAKE2b-256 b52bff1a356481547724c3d4e7804288b61cdaef0eb8e6f68e0fa35f637dc9f8

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp39-cp39-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp39-cp39-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 1c4e21593eaa440250818e6e815112920ac2d2f5f85d9269936a13a51313b678
MD5 c4fb66e76ed539b0bcbf0f5a33ee6afd
BLAKE2b-256 aa622f753d82549bd5d54f81a10fd33a04a0ca3143bc6ebdf3706075d608a3d5

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 5e3a3f14aca1323c04725124820a5a74f445cbc4c7ceb4c9f7ffcb354774a109
MD5 3bb21fc0e7f8ed827734272e97548bba
BLAKE2b-256 791579ec4b1a434330bddf5ef53cde5a944ae991863f0aa780bea9f17650f662

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp38-cp38-win32.whl.

File metadata

  • Download URL: dmri_amico-2.0.2-cp38-cp38-win32.whl
  • Upload date:
  • Size: 10.5 MB
  • Tags: CPython 3.8, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for dmri_amico-2.0.2-cp38-cp38-win32.whl
Algorithm Hash digest
SHA256 24c7869e141a672fba63a3d7944a4c72b31a21d1eaa81f10cbc2d03f1350fd85
MD5 0adbddcf1b49fdfc5d48984e72663bf6
BLAKE2b-256 5f620411e6abbd6d9ec46f16f12bd3836fb08747f156904bc649454a6e8a6460

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 99ad2a0751a47afcb6c88aba843e318724b3f01823674a51932f85f76f31d216
MD5 27ace547f9b61a04b335e5909117e3e6
BLAKE2b-256 4d0aef47c22464c3fa0a362ff8849aaa59bdcc6030b5c09e80c8f1313ad4d4ad

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 02b17124b9e1515b24e164f2daddf93facee43e3a02e4ede3981560ffe8dc177
MD5 7df19cf3a3bd1c4972eb74d3c1b4744a
BLAKE2b-256 961dc0456d7a84e92b21e39f543f41b89e6a545e1733a60e3ef7b4e1bd1576d1

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp38-cp38-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp38-cp38-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 8282d26fadfa843027f5a3607c0143a47589db44a9bb3514e5b67c872765b6b8
MD5 03c1877731608f6b2c14b38e30c88bb3
BLAKE2b-256 00fc2cae30da18b30e3fa70f8057f06a2b36416bdf88bf61319875145861da31

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp38-cp38-macosx_12_0_arm64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp38-cp38-macosx_12_0_arm64.whl
Algorithm Hash digest
SHA256 92980a2c0d7bc4aec16a4a2e3bd99e9624f432c96dcaca74515d516ffc7931c6
MD5 706a1d8e73524a4e031b1a394dbc085c
BLAKE2b-256 47f15dbd2121f0a7533b0099266fb36fa4fb7a24d27ed80265cb88dc38b69781

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 4dd758b339362636abe8a82dc003ef9fb988ea314c48344f916178a777a2768c
MD5 c05a310709fe34fd67fd732a42fd0403
BLAKE2b-256 9addbeb4cb47e1af00ad430dd7e66049e06b27a72ebd7736020093c8db8d5ac6

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp37-cp37m-win32.whl.

File metadata

  • Download URL: dmri_amico-2.0.2-cp37-cp37m-win32.whl
  • Upload date:
  • Size: 10.5 MB
  • Tags: CPython 3.7m, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for dmri_amico-2.0.2-cp37-cp37m-win32.whl
Algorithm Hash digest
SHA256 7ff90c6eecbd41d461a0e9cc6c4914709f5cb9e90de255e7be5fc0af2d6e668a
MD5 533f4f2f1655abbf25dfe6c5870dba7c
BLAKE2b-256 5d01071034fba4b43f77b6ded8cdeaeb79f1bf2327e565b8895bd4c8bd693b89

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0ee50bab54e2b8ea0545191101d8b19bf5e99f712958198f04486b6293be1934
MD5 e6b017fc94b0db376ba66f7a1d8d4b0c
BLAKE2b-256 b74f58347e89090c2c7f71e840445fddc44bf9128e3e1d74607c3ed122b95669

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 1f39e0990c9c6baf047b7ca62ad0250ee4cb825f3ea9d14592959a0d1455ebf9
MD5 defd0732991904309554cee9a4d15700
BLAKE2b-256 26e6b9694205e9dff42ffa696217d69e2ebdd9de2e00a075b9af88b47611f251

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp37-cp37m-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp37-cp37m-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 f8e1b0db7bd6ed00550a6f032e8cff848284a56dc048a63770f36739bfb42292
MD5 2665791b931d2af6265ff297a1aada2a
BLAKE2b-256 81a34089867fe4544c71f953a87aa19981d6384351c4444989743db8637aebe1

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 b98c1f68186d17337e1bcf48accf7b52910e78e6ef0255a9de93ca7a4c73e555
MD5 9957a84a315941f914c12fe49d5bf358
BLAKE2b-256 4525f408f0c7ec3967424ea75c4e10be9ada784c7d98a2239d5b1f17e8fa1bf6

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp36-cp36m-win32.whl.

File metadata

  • Download URL: dmri_amico-2.0.2-cp36-cp36m-win32.whl
  • Upload date:
  • Size: 10.5 MB
  • Tags: CPython 3.6m, Windows x86
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.0 CPython/3.12.4

File hashes

Hashes for dmri_amico-2.0.2-cp36-cp36m-win32.whl
Algorithm Hash digest
SHA256 9559256f2230829961e7a78e7815f20a91d9fbe2a72ca8d5fd1e66236693f09a
MD5 1aa0072614cd1f7e344886846450712f
BLAKE2b-256 8980183ec2f08d521a39b18b74392aadc27384b06e6da154e6106eb1425559e7

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 3e41bfe6e28dbb272097506d0ead860126020264b367b299050e26a8d9c3c48a
MD5 3a49934fb8f90751d2053ccae73dc1cf
BLAKE2b-256 38ddb90d997bb0d6e842f9d902a7073d62a5814156868556e5e512fb0fc7d243

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2b528d8e0a2e6cc77422fbf0d2a0df84447e227a83405328e3732b1d41701742
MD5 f0249b47b73c63cc0002a604b9fdc98f
BLAKE2b-256 1aa54163d7ee18bcac4d9a9aea7ac294fa2da6282cd14fac7a233a2e07c24f71

See more details on using hashes here.

File details

Details for the file dmri_amico-2.0.2-cp36-cp36m-macosx_12_0_x86_64.whl.

File metadata

File hashes

Hashes for dmri_amico-2.0.2-cp36-cp36m-macosx_12_0_x86_64.whl
Algorithm Hash digest
SHA256 d3a7b217ca7b628e02fb3d38325b3ff4bf50a796549c2297a54e5971c158d6b8
MD5 78bbb8f42d8a83b5b446bebd2413e6b1
BLAKE2b-256 e2a72e690f73a3e4736125da57ad7307474709eede4067f7e5339540dc2d29b4

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page