shadow-hybrid-methods


Nameshadow-hybrid-methods JSON
Version 1.0.8 PyPI version JSON
download
home_pagehttps://github.com/oasys-kit/hybrid-methods
SummaryHybrid Methods, combining raytracing with wave optics
upload_time2024-02-29 20:27:01
maintainerLuca Rebuffi
docs_urlNone
authorLuca Rebuffi, Xianbo Shi
requires_python
licenseBSD
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": "",
    "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/15/6c/3215be2e1bb9f40547ba4880661e1d26daae660840af1c2edf0c9f1e78e4/shadow-hybrid-methods-1.0.8.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": "1.0.8",
    "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": "156c3215be2e1bb9f40547ba4880661e1d26daae660840af1c2edf0c9f1e78e4",
                "md5": "195230b8a848aaabcc1078135a259173",
                "sha256": "b5ef3c9be1033e72b632f651804364be94899482533c4c7b343e829c21299f3f"
            },
            "downloads": -1,
            "filename": "shadow-hybrid-methods-1.0.8.tar.gz",
            "has_sig": false,
            "md5_digest": "195230b8a848aaabcc1078135a259173",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 20668,
            "upload_time": "2024-02-29T20:27:01",
            "upload_time_iso_8601": "2024-02-29T20:27:01.749682Z",
            "url": "https://files.pythonhosted.org/packages/15/6c/3215be2e1bb9f40547ba4880661e1d26daae660840af1c2edf0c9f1e78e4/shadow-hybrid-methods-1.0.8.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2024-02-29 20:27:01",
    "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"
}
        
Elapsed time: 0.19674s