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    "info": {
        "author": "Barry Muldrey",
        "author_email": "barry@muldrey.net",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Console",
            "Intended Audience :: Developers",
            "Intended Audience :: Education",
            "Intended Audience :: End Users/Desktop",
            "Intended Audience :: Science/Research",
            "License :: OSI Approved :: GNU Affero General Public License v3",
            "Natural Language :: English",
            "Operating System :: MacOS",
            "Operating System :: Microsoft :: Windows",
            "Operating System :: POSIX",
            "Programming Language :: Python",
            "Topic :: Scientific/Engineering",
            "Topic :: Scientific/Engineering :: Visualization",
            "Topic :: Utilities"
        ],
        "description": "#  xanity is experiment sanity\n\nXanity is meant to allow easy and free creation of multiple experiments among which\nthere is shared python codebase and system environment.\n\nXanity helps manage the following:\n\n - experimetal environments ( via [ana/mini]conda )\n\n    - ensures experiments are run in the proper environment\n    - creates new environments\n    - updates environments when new packages are needed\n\n - experiment and analysis source code\n\n    - archives all source code at every run and keeps it with the data\n    - maps associations between individual experiments and analyses\n\n - experiment parameters\n\n    - builds parameter sweeps\n    - runs experiments repeatedly with swept parameters\n    - catalogs all sweep data\n\n - experiment data\n    - organizes all experimental data\n    - ensures everything produced during runtime is properly cataloged\n\n - logs\n    - provides easy logging interface\n    - generates a master log file\n    - generates per-experiment log files\n\n### Dependencies:\n - conda - (from Anaconda or, my preference, *__Miniconda__*)\n    - [https://conda.io/miniconda.html]\n\n# Usage:\n__xanity commands generally assume they're being called from a $PWD inside a xanity\nproject directory tree.__\n\nSome commands accept additional arguments to specify \nthe xanity project path:\n\n```\nxanity init[ialize] [--with-examples] [new-dir]\n  \"    init               \"             \"\n\n    Create a bare-bones xanity project directory tree in either the $PWD\n    or a [new-dir].\n\n\nxanity env setup\n\n    Create or update the conda environment associated with the project.\n\n\nxanity status\n\n    Print the status of the current xanity project.\n\n\nxanity run [experiment_names] [-a analyses[...]]\n\n    Run all (or the specified) experiments and optionally, analyses.\n\n\nxanity analyze [-a analyses] [run_data_path]\n  \"    analyse       \"              \"\n  \"    anal          \"              \"\n  \"    analysis      \"              \"\n\n    Run all (or the specified) analyses on the most recent (or specified) data.\n\n\nxanity session\n  \"     sess\n  \"     sesh\n\n    Drops you into a new bash shell inside your project's environment.\n\nxanity data\n    suite of tools to manage data from previously run experiments\n```\n\n# Example:\n\n00. install miniconda if you need it:\n    ```bash\n    wget https://repo.anaconda.com/miniconda/Miniconda2-latest-Linux-x86_64.sh\n    bash Miniconda2-latest-Linux-x86_64.sh\n    ```\n\n0. install xanity into your system's python(3) (or if you want, a conda env):\n\n    ```bash\n    pip[3] install xanity\n    ```\n\n1. initialize a xanity project and move inside with:\n\n    ```bash\n    xanity init --with-examples xanity_test_proj\n    cd xanity_test_proj\n    ```\n\n    this will create a skeleton directory tree for your experiments and analyses\n    which will be populated with some examples.\n\n2. Open xanity_test_proj/experiments/experiment1.py and have a look.  This is a\n    skeletal experiment.\n\n3. Open xanity_test_proj/analyses/analysis1.py and have a look.  This is a\n    skeletal analysis.\n\n4. find the conda-environment.yaml file and tweak its contents to suit your requiremnts.\n\n5. resolve these requirements (create/update a conda env) with: \n\n    ```bash\n    xanity env setup\n    ```\n\n6. run everything with:\n\n    ```bash\n    xanity run\n    ```\n\n7. you will find all the experimental data organized under the data/runs directory tree.\n   Source-code snapshots are tarred and kept with the data they produced. Logs are kept too.\n\n8. you can run an analysis script on a completed run:\n\n    `xanity analyze experiment1`\n\n   this will look for the most recent (or specified) dir of run data, and run the analysis found\n   at analyses/myfaveexp on that data.\n\n9. relax. collect Nobel.\n\n# Experiment file skeleton:\n## (xanity-proj-root/experiments/*.py)\n\nEach experiment module must have a main() function defined:\n  - xanity will look for and invoke the main() function in each experiment.\n  - Any parameters to the experiment should be arguments to the main() function.\n\nThe `xanity.experiment_parameters()` call registers the parameter sweeps\nto use when running the experiment.\n\nInclude the `xanity.run()` function call.\n    - The run() hook will run the experiment if it's invoked directly as \n    a script or module:\n\n```python\n# experiments/example_experiment.py\n\nimport xanity\nimport numpy as np\n\n# flag this experiment for analysis\nxanity.analyze_this()\n\n# register parameter sweeps you'd like to do\nxanity.experiment_parameters({\n    'n_trials': [100,150,200],\n    'train_frac': [0.9, 0.5, 0.1],\n    'scale': [1,2,3,]\n})\n\n# parameters the experiment will accept\ndef main(n_trials=200, scale =5, main_frac=0.8):\n\n    fakevar = scale * np.random.rand(n_trials)**2\n    xanity.log(\"here is a print from experiment 1\")\n    xanity.save_variable(fakevar)\n\nif __name__=='__main__':\n    xanity.run()\n\n```\n\n# Analysis file skeleton:\n## (xanity-proj-root/analyses/*.py)\n\nEach analysis module must have a main() function defined.\n  - xanity will look for and invoke the main() function in each analysis.\n  - The only parameter to the analysis is the path to the root of a run (or set of runs).\n\nThe call to xanity.associated_experiments() registers the names of experiments\n to associate with this analysis.\n\nInclude the `xanity.run()` function call.\n    - The run() hook will run the analysis if it's invoked directly as a script or module\n\n```python\n# analyses/example_analysis.py\n\nimport xanity\nimport matplotlib.pyplot as plt\n\n# define which experiments to associate this analysis with\nxanity.associated_experiments([\n        'experiment1',\n        #'experiment2',\n        #'experiment3',\n        ])\n\n# the analysis takes a single argument... path of data (xanity will provide)\n\ndef main(data_dir):\n\n    data, paths = xanity.load_variable('fakevar')\n\n    plt.figure()\n    for d in data:\n        d.sort()\n        plt.plot(d)\n\n    plt.show()\n\nif __name__=='__main__':\n    xanity.run()\n\n```\n\n",
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