shadow-hybrid-methods

Name	shadow-hybrid-methods JSON
Version	1.0.9 JSON
	download
home_page	https://github.com/oasys-kit/hybrid-methods
Summary	Hybrid Methods, combining raytracing with wave optics
upload_time	2024-05-29 18:58:31
maintainer	Luca Rebuffi
docs_url	None
author	Luca Rebuffi, Xianbo Shi
requires_python	None
license	BSD
keywords	x-raysynchrotron radiation wavefront propagationray tracing surface metrology simulation
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            # hybrid-methods
Collection of algorithms that combine raytracing with wave optics, to improve accuracy

            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/oasys-kit/hybrid-methods",
    "name": "shadow-hybrid-methods",
    "maintainer": "Luca Rebuffi",
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": "lrebuffi@anl.gov",
    "keywords": "x-raysynchrotron radiation, wavefront propagationray tracing, surface metrology, simulation",
    "author": "Luca Rebuffi, Xianbo Shi",
    "author_email": "lrebuffi@anl.gov",
    "download_url": "https://files.pythonhosted.org/packages/a4/2a/f0b4952ca5e338bdd719faa23ea5a4efff13f8acca77fac1edae595f63bf/shadow-hybrid-methods-1.0.9.tar.gz",
    "platform": null,
    "description": "# hybrid-methods\nCollection of algorithms that combine raytracing with wave optics, to improve accuracy\n",
    "bugtrack_url": null,
    "license": "BSD",
    "summary": "Hybrid Methods, combining raytracing with wave optics",
    "version": "1.0.9",
    "project_urls": {
        "Download": "https://github.com/oasys-kit/hybrid-methods",
        "Homepage": "https://github.com/oasys-kit/hybrid-methods"
    },
    "split_keywords": [
        "x-raysynchrotron radiation",
        " wavefront propagationray tracing",
        " surface metrology",
        " simulation"
    ],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "a42af0b4952ca5e338bdd719faa23ea5a4efff13f8acca77fac1edae595f63bf",
                "md5": "4d5d962c3a4e7350cdaa049be733e808",
                "sha256": "92963ad1151c32ba7a42cfc64084baa4746de996f4504a3434e047e5bedeeb81"
            },
            "downloads": -1,
            "filename": "shadow-hybrid-methods-1.0.9.tar.gz",
            "has_sig": false,
            "md5_digest": "4d5d962c3a4e7350cdaa049be733e808",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 87187,
            "upload_time": "2024-05-29T18:58:31",
            "upload_time_iso_8601": "2024-05-29T18:58:31.884926Z",
            "url": "https://files.pythonhosted.org/packages/a4/2a/f0b4952ca5e338bdd719faa23ea5a4efff13f8acca77fac1edae595f63bf/shadow-hybrid-methods-1.0.9.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-05-29 18:58:31",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "oasys-kit",
    "github_project": "hybrid-methods",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "shadow-hybrid-methods"
}