Intel® Integrated Performance Primitives (Intel® IPP) provides developers with high-quality, production-ready, low-level building blocks for image processing, signal processing, and data processing (data compression and decompression) applications. This package provides C programming language interfaces. Intel IPP C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.
Raw data
{
"_id": null,
"home_page": "https://www.intel.com/content/www/us/en/developer/tools/oneapi/ipp.html",
"name": "ipp-include",
"maintainer": null,
"docs_url": null,
"requires_python": null,
"maintainer_email": null,
"keywords": null,
"author": "Intel Corporation",
"author_email": "scripting@intel.com",
"download_url": null,
"platform": null,
"description": "Intel\u00ae Integrated Performance Primitives (Intel\u00ae IPP) provides developers with high-quality, production-ready, low-level building blocks for image processing, signal processing, and data processing (data compression and decompression) applications. This package provides C programming language interfaces. Intel IPP C language interfaces can be called from applications written in either C or C++, as well as in any other language that can reference a C interface.\n\n",
"bugtrack_url": null,
"license": "Intel Simplified Software License",
"summary": "Intel\u00ae Integrated Performance Primitives (Intel\u00ae IPP)",
"version": "2022.1.0",
"project_urls": {
"Homepage": "https://www.intel.com/content/www/us/en/developer/tools/oneapi/ipp.html"
},
"split_keywords": [],
"urls": [
{
"comment_text": "",
"digests": {
"blake2b_256": "0b68b201d5dde08b8b320af9295672f601053624a7aee84553d158187b3f8725",
"md5": "4256b88e8f3b561477fe6421efb2deae",
"sha256": "00ab17ffbcdf71c8cab42b9c5e32a4cd8c428f46ebd111cac773ccbea06d904f"
},
"downloads": -1,
"filename": "ipp_include-2022.1.0-py2.py3-none-manylinux_2_28_x86_64.whl",
"has_sig": false,
"md5_digest": "4256b88e8f3b561477fe6421efb2deae",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 310637,
"upload_time": "2025-03-21T15:28:49",
"upload_time_iso_8601": "2025-03-21T15:28:49.313746Z",
"url": "https://files.pythonhosted.org/packages/0b/68/b201d5dde08b8b320af9295672f601053624a7aee84553d158187b3f8725/ipp_include-2022.1.0-py2.py3-none-manylinux_2_28_x86_64.whl",
"yanked": false,
"yanked_reason": null
},
{
"comment_text": "",
"digests": {
"blake2b_256": "6376088374695bbe16abaff171025fb5ddfc88814489b4ef5d3fbbf5340e8f39",
"md5": "073571d4d3474adf70c21ac6137993e5",
"sha256": "1a7b3c137c7293c262d3c28e3cd88854edfdf987c3acc8a3935de3c0fe377b5c"
},
"downloads": -1,
"filename": "ipp_include-2022.1.0-py2.py3-none-win_amd64.whl",
"has_sig": false,
"md5_digest": "073571d4d3474adf70c21ac6137993e5",
"packagetype": "bdist_wheel",
"python_version": "py2.py3",
"requires_python": null,
"size": 312348,
"upload_time": "2025-03-21T15:29:26",
"upload_time_iso_8601": "2025-03-21T15:29:26.766805Z",
"url": "https://files.pythonhosted.org/packages/63/76/088374695bbe16abaff171025fb5ddfc88814489b4ef5d3fbbf5340e8f39/ipp_include-2022.1.0-py2.py3-none-win_amd64.whl",
"yanked": false,
"yanked_reason": null
}
],
"upload_time": "2025-03-21 15:28:49",
"github": false,
"gitlab": false,
"bitbucket": false,
"codeberg": false,
"lcname": "ipp-include"
}
JSON