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    "info": {
        "author": "Dougie Squire",
        "author_email": "dougie.squire@csiro.au",
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        "classifiers": [
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3"
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        "description": "# doppyo\n\ndoppyo is a diagnostics/verification package for climate forecast systems. It is still in the very early stages of development.\n\nCurrent functionality\n======================\n\nThree modules are currently available\n\n1. ``skill`` : functions for assessing one data set relative to another (usually model output relative to observation).\n\n2. ``diagnostic`` : functions for computing various atmospheric and oceanic diagnostics.\n\n3. ``utils`` : general support functions for the doppyo package. \n\nSome test modules are also avaliable in ``doppyo.test``. However, these are far from complete \n\nUsage (If not using DCFP JupyterHub server)\n===========================================\n\n1. Install anaconda if you have not already done so:\n\n* Make your own directory in '/OSM/CBR/OA\\_DCFP/apps/'\n\n``mkdir /OSM/CBR/OA_DCFP/apps/<userid>``\n\n* A recent version of the anaconda installer is available in '/OSM/CBR/OA\\_DCFP/apps/anaconda\\_installer'. Run this and follow the prompts to install anaconda in the directory you have just created.\n\n* The anaconda installer will add the anaconda path to your .bashrc (or equivalent). You will need to source this for the changes to be made:\n\n``source ~/.bashrc``\n\n* Check that anaconda python is now your default:\n\n``which python``\n\n2. Install doppyo:\n\n* Clone the doppyo Bitbucket repository to your local machine. At your desired location, run:\n\n``git clone https://<userid>@bitbucket.csiro.au/scm/df/doppyo.git``\n\n* Replicate the doppyo environment locally. This will ensure that you have all libraries/packages required to run doppyo. Within the 'requirements' folder in your cloned repository, run:  \n\n``conda env create -f doppyo_env_linux.yml``  \n\nor  \n\n``conda env create -f doppyo_env_mac.yml``  \n\ndepending on your os.  \n\nAlternatively, if updating an existing doppyo\\_env environment, run:  \n\n``conda env update --file=doppyo_env_<os>.yml``\n\n* Activate the doppyo\\_env environment:\n\n``source activate doppyo_env``\n\n* Install the doppyo package. Within your cloned repository, run:\n\n``python setup.py install``\n\n\n\n",
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        "name": "doppyo",
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        "summary": "Diagnostics and verification package",
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