{
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    "defaults"
  ],
  "conda_build_version": "3.20.5",
  "conda_private": false,
  "conda_version": "4.9.1",
  "env_vars": {
    "CIO_TEST": "<not set>"
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  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "conda-forge/r",
      "khusmann"
    ]
  },
  "home": "https://github.com/djvanderlaan/LaF",
  "identifiers": [],
  "keywords": [],
  "license": "GPL-3.0-only",
  "license_family": "GPL3",
  "license_file": [
    "D:\\bld\\r-laf_1604312449322\\_h_env/lib/R/share/licenses/GPL-3"
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  ],
  "summary": "Methods for fast access to large ASCII files.  Currently the following file formats are supported: comma separated format (CSV) and fixed width format. It is assumed that the files are too large to fit into memory, although the package can also be used to efficiently access files that do fit into memory. Methods are provided to access and process files blockwise. Furthermore, an opened file can be accessed as one would an ordinary data.frame. The LaF vignette gives an overview of the functionality provided.",
  "tags": []
}