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   "sha256": "92b2cd2d4418585f966447f48587a3c8a73333d6645b6d8938fa9f69d6e59724",
   "size": 63839,
   "version": "0.1.6.9002"
  }
 },
 "metadata": {
  "author": "Cody L Marquart <cody.marquart@wisc.edu>",
  "description": "# qe-tma\n\nPython Transmodal Analysis (TMA) \u2014 sister package to the\n[tma](https://gitlab.com/epistemic-analytics/qe-packages/tma) R package\n(`import tma`). Formerly pyTMA (`import pytma`), which was never published.\n\nThe math runs in C++ shared with R: accumulation (stanza windows, context\ntensors, row connections, weight models) is libtma, compiled into this package\n(`tma.libtma`); node positions come from [qe-ena](https://qe-libs.org/py/project/qe-ena/)\n(libena) and generic numerics from [qe-lib](https://qe-libs.org/py/project/qe-lib/)\n(libqe).\n\n## Installation\n\n```bash\npip install qe-tma --extra-index-url https://qe-libs.org/py/simple/\n```\n\nDevelopment builds from `main` are on `https://qe-libs.org/py/dev/simple/`.\n\n### Development install\n\nBuilding from a checkout compiles the libtma extension: it needs a C++17\ncompiler, CMake and [Armadillo](https://arma.sourceforge.net/) (`brew install\narmadillo`, `apt install libarmadillo-dev`), plus the headers that\n`scripts/sync-headers.sh` vendors into `python/include/` (libtma from this repo,\nlibqe from Conan; set `LIBQE_INCLUDE=<libqe checkout>/include` to use a local\nlibqe instead).\n\n```bash\nsh scripts/sync-headers.sh                 # from the repo root\npip install qe-lib qe-ena --extra-index-url https://qe-libs.org/py/simple/\npip install \"./python[dev]\"\npytest python/tests --import-mode=importlib   # tests the installed package\n```\n\n## Quick start\n\n```python\nimport pandas as pd\nfrom tma import TMA, contexts, context_tensor\n\n# rules / contexts / context_tensor mirror tma's R functions; TMA().fit()\n# runs contexts -> accumulate -> normalize -> SVD -> node positions.\n```\n\nThe low-level accumulation functions (`apply_tensor_unit`,\n`aggregate_row_connections`, `accumulate_stanza`, ...) are in `tma.libtma`.",
  "description_content_type": "text/markdown",
  "license": "GPL-3.0-only",
  "name": "qe-tma",
  "project_urls": [
   [
    "Homepage",
    "https://qe-libs.org/py/project/qe-tma/"
   ],
   [
    "Source",
    "https://gitlab.com/epistemic-analytics/qe-packages/tma/-/tree/main/python"
   ],
   [
    "Issues",
    "https://gitlab.com/epistemic-analytics/qe-packages/tma/-/issues"
   ]
  ],
  "requires_dist": [
   "qe-lib<0.3,>=0.1.7",
   "qe-ena>=0.1.6",
   "numpy>=1.24",
   "pandas>=1.5",
   "pytest>=7; extra == \"dev\""
  ],
  "requires_python": ">=3.10",
  "summary": "Python TMA (Transmodal Analysis) modeling \u2014 sister package to tma, with libtma compiled in",
  "version": "0.1.5"
 },
 "metadata_from": "0.1.5",
 "name": "qe-tma"
}