{
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  "conda_build_version": "3.17.8",
  "conda_private": false,
  "conda_version": "4.8.3",
  "description": "Libaec provides fast lossless compression of 1 up to 32 bit wide signed or unsigned integers (samples).\nThe library achieves best results for low entropy data as often encountered in space imaging instrument\ndata or numerical model output from weather or climate simulations. While floating point representations\nare not directly supported, they can also be efficiently coded by grouping exponents and mantissa.\nLibaec implements Golomb-Rice coding as defined in the Space Data System Standard documents 121.0-B-2\nand 120.0-G-2.\n",
  "dev_url": "https://gitlab.dkrz.de/k202009/libaec",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "kmuehlbauer",
      "hmaarrfk"
    ]
  },
  "home": "https://gitlab.dkrz.de/k202009/libaec",
  "identifiers": [],
  "keywords": [],
  "license": "BSD-2-Clause",
  "license_family": "BSD",
  "license_file": "Copyright.txt",
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  "summary": "Adaptive Entropy Coding library",
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}