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    "info": {
        "author": "Damon Burgett",
        "author_email": "damon@mapbox.com",
        "bugtrack_url": null,
        "classifiers": [
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        "description": "rio-mucho\n=========\n\nParallel processing wrapper for rasterio\n\n|PyPI| |Build Status| |Coverage Status|\n\nInstall\n-------\n\nFrom pypi:\n\n``pip install rio-mucho``\n\nFrom github (usually for a branch / dev):\n\n``pip install pip install git+ssh://git@github.com/mapbox/rio-mucho.git@<branch>#egg=riomucho``\n\nDevelopment:\n\n::\n\n    git clone git@github.com:mapbox/rio-mucho.git\n    cd rio-mucho\n    pip install -e .\n\nUsage\n-----\n\n.. code:: python\n\n    with riomucho.RioMucho([{inputs}], {output}, {run function},\n        windows={windows},\n        global_args={global arguments}, \n        options={options to write}) as rios:\n\n        rios.run({processes})\n\nArguments\n~~~~~~~~~\n\n``inputs``\n^^^^^^^^^^\n\nAn list of file paths to open and read.\n\n``output``\n^^^^^^^^^^\n\nWhat file to write to.\n\n``run_function``\n^^^^^^^^^^^^^^^^\n\nA function to be applied to each window chunk. This should have input\narguments of:\n\n1. A data input, which can be one of:\n\n-  A list of numpy arrays of shape (x,y,z), one for each file as\n   specified in input file list ``mode=\"simple_read\" [default]``\n-  A numpy array of shape ({*n* input files x *n* band count}, {window\n   rows}, {window cols}) ``mode=array_read\"``\n-  A list of open sources for reading ``mode=\"manual_read\"``\n\n2. A ``rasterio`` window tuple\n3. A ``rasterio`` window index (``ij``)\n4. A global arguments object that you can use to pass in global\n   arguments\n\nThis should return:\n\n1. An output array of ({count}, {window rows}, {window cols}) shape, and\n   of the correct data type for writing\n\n.. code:: python\n\n    def basic_run({data}, {window}, {ij}, {global args}):\n        ## do something\n        return {out}\n\nKeyword arguments\n~~~~~~~~~~~~~~~~~\n\n``windows={windows}``\n^^^^^^^^^^^^^^^^^^^^^\n\nA list of ``rasterio`` (window, ij) tuples to operate on.\n``[Default = src[0].block_windows()]``\n\n``global_args={global arguments}``\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\nSince this is working in parallel, any other objects / values that you\nwant to be accessible in the ``run_function``. ``[Default = {}]``\n\n.. code:: python\n\n    global_args = {\n        'divide_value': 2\n    }\n\n``options={keyword args}``\n^^^^^^^^^^^^^^^^^^^^^^^^^^\n\nThe options to pass to the writing output. ``[Default = srcs[0].meta``\n\nExample\n-------\n\n.. code:: python\n\n    import riomucho, rasterio, numpy\n\n    def basic_run(data, window, ij, g_args):\n        ## do something\n        out = np.array(\n            [d[0] /= global_args['divide'] for d in data]\n            )\n        return out\n\n    # get windows from an input\n    with rasterio.open('/tmp/test_1.tif') as src:\n        ## grabbing the windows as an example. Default behavior is identical.\n        windows = [[window, ij] for ij, window in src.block_windows()]\n        options = src.meta\n        # since we are only writing to 2 bands\n        options.update(count=2)\n\n    global_args = {\n        'divide': 2\n    }\n\n    processes = 4\n\n    # run it\n    with riomucho.RioMucho(['input1.tif','input2.tif'], 'output.tif', basic_run,\n        windows=windows,\n        global_args=global_args, \n        options=options) as rm:\n\n        rm.run(processes)\n\nUtility functions\n-----------------\n\n\\`riomucho.utils.array\\_stack([array, array, array,...])\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nGiven a list of ({depth}, {rows}, {cols}) numpy arrays, stack into a\nsingle (l{list length \\* each image depth}, {rows}, {cols}) array. This\nis useful for handling variation between ``rgb`` inputs of a single\nfile, or separate files for each.\n\nOne RGB file\n^^^^^^^^^^^^\n\n.. code:: python\n\n    files = ['rgb.tif']\n    open_files = [rasterio.open(f) for f in files]\n    rgb = `riomucho.utils.array_stack([src.read() for src in open_files])\n\nSeparate RGB files\n^^^^^^^^^^^^^^^^^^\n\n.. code:: python\n\n    files = ['r.tif', 'g.tif', 'b.tif']\n    open_files = [rasterio.open(f) for f in files]\n    rgb = `riomucho.utils.array_stack([src.read() for src in open_files])\n\n.. |PyPI| image:: https://img.shields.io/pypi/v/rio-mucho.svg?maxAge=2592000?style=plastic\n   :target: \n.. |Build Status| image:: https://travis-ci.org/mapbox/rio-mucho.svg?branch=master\n   :target: https://travis-ci.org/mapbox/rio-mucho\n.. |Coverage Status| image:: https://coveralls.io/repos/mapbox/rio-mucho/badge.svg?branch=master&service=github\n   :target: https://coveralls.io/github/mapbox/rio-mucho?branch=master\n\n\n",
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        "license": "MIT",
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