{
  "channels": [
    "conda-forge",
    "defaults"
  ],
  "conda_build_version": "3.15.1",
  "conda_private": false,
  "conda_version": "4.5.11",
  "env_vars": {
    "CIO_TEST": "<not set>"
  },
  "extra": {
    "copy_test_source_files": true,
    "final": true,
    "recipe-maintainers": [
      "johanneskoester",
      "bgruening",
      "daler",
      "jdblischak",
      "cbrueffer",
      "dbast"
    ]
  },
  "home": "https://github.com/HenrikBengtsson/R.cache",
  "identifiers": [],
  "keywords": [],
  "license": "LGPL (>= 2.1)",
  "license_family": "LGPL",
  "root_pkgs": [
    "anaconda-client 1.7.1 py_0",
    "asn1crypto 0.24.0 py36_3",
    "beautifulsoup4 4.6.3 py36_0",
    "ca-certificates 2018.8.24 ha4d7672_0",
    "certifi 2018.8.24 py36_0",
    "cffi 1.11.5 py36hfa6e2cd_1",
    "chardet 3.0.4 py36_3",
    "click 6.7 py_1",
    "clyent 1.2.2 py_1",
    "conda 4.5.11 py36_0",
    "conda-build 3.15.1 py36_0",
    "conda-env 2.6.0 1",
    "conda-forge-ci-setup 2.0.6 py36_0",
    "console_shortcut 0.1.1 3",
    "cryptography 2.3.1 py36h74b6da3_0",
    "cryptography-vectors 2.3.1 py36_0",
    "decorator 4.3.0 py_0",
    "filelock 3.0.4 py_1",
    "glob2 0.6 py_0",
    "idna 2.7 py36_2",
    "ipython_genutils 0.2.0 py_1",
    "jinja2 2.10 py_1",
    "jsonschema 2.6.0 py36_2",
    "jupyter_core 4.4.0 py_0",
    "markupsafe 1.0 py36hfa6e2cd_1",
    "menuinst 1.4.14 py36_0",
    "nbformat 4.4.0 py_1",
    "openssl 1.0.2p hfa6e2cd_1000",
    "pip 18.0 py36_1",
    "pkginfo 1.4.2 py_1",
    "psutil 5.4.7 py36hfa6e2cd_1",
    "pycosat 0.6.3 py36hfa6e2cd_1",
    "pycparser 2.19 py_0",
    "pyopenssl 18.0.0 py36_0",
    "pysocks 1.6.8 py36_2",
    "python 3.6.6 he025d50_0",
    "python-dateutil 2.7.3 py_0",
    "pytz 2018.5 py_0",
    "pywin32 223 py36hfa6e2cd_0",
    "pyyaml 3.13 py36hfa6e2cd_1",
    "requests 2.19.1 py36_1",
    "ruamel_yaml 0.15.63 py36hfa6e2cd_0",
    "setuptools 40.4.0 py36_0",
    "six 1.11.0 py36_1",
    "tqdm 4.26.0 py_0",
    "traitlets 4.3.2 py36_0",
    "urllib3 1.23 py36_1",
    "vc 14 h0510ff6_3",
    "vs2008_express_vc_python_patch 1.0.0 0",
    "vs2015_runtime 14.0.25123 3",
    "wheel 0.31.1 py36_1",
    "wincertstore 0.2 py36_2",
    "win_inet_pton 1.0.1 py36_2",
    "yaml 0.1.7 vc14_0"
  ],
  "summary": "Memoization can be used to speed up repetitive and computational expensive function calls.  The first time a function that implements memoization is called the results are stored in a cache memory.  The next time the function is called with the same set of parameters, the results are momentarily retrieved from the cache avoiding repeating the calculations.  With this package, any R object can be cached in a key-value storage where the key can be an arbitrary set of R objects.  The cache memory is persistent (on the file system).",
  "tags": []
}