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        "author": "Nathan Longbotham",
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        "description": "Introduction\n============\n\nTinytools is a collection of small, high-level tools that fill gaps in Python \ntool sets.  The tools are broken up into a set of modules\n\n1.  ``bunch`` :  Contains an OrderedBunch object class with associated\n    bunchify/unbunchify methods, similar to other bunch implementations but\n    built off an OrderedDict with ipython table-complete overloaded to the\n    data memebers.\n2.  ``files`` :  High-level filter and search functions with configurable\n    search depth, case sensitivity, and search types.\n3.  ``cmd_list`` :  Thin wrapper around subprocess to simplify command line\n    calls.\n4.  ``pvl`` : Function to read and write\n    `PVL files <https://en.wikipedia.org/wiki/Parameter_Value_Language>`_.\n5.  ``class_csv`` : Functions to move columns in csv files - a common need\n    for moving class-attributed csv files between machine learning tools.\n6.  ``np_img`` :    Numpy operations to flip images - i.e. converting a\n    numpy image array from (4,200,200) to (200,200,4).\n7.  ``py_styles`` : Display of python style suggestions.\n\nInstalling\n==========\n\n.. code:: python \n\n    pip install tinytools\n\nImport\n=======\n\n.. code:: python \n\n    import tinytools\n\nor in a more convenient alias:\n\n.. code:: python\n\n    import tinytools as tt\n\nQuick Start\n===========\n.. code:: python\n\n    import tinytools as tt\n\n    ## Search function\n    found = tt.files.search('/path/to/search',['*.til','proj1*.til'],depth=5,\n                                                        case_sensitive=False)\n\n    ## OrderedBunch\n    from collections import OrderedDict\n\n    # Create an OrderedBunch from and return it to an OrderedDict\n    od = OrderedDict({'a':1,'b':2,'c':{'aa':1.23,'bb':'string'}})\n    ob = tt.bunch.ordered_bunchify(od)\n    ob.a          # Explore the OrderdBunch with tab complete\n    ob['a']       # Equivalent to above\n    ob.c.bb       # orderd_bunchify is recursive on nested Dict objects\n    ob['c']['bb'] # Equivalent to above\n    od2 = tt.bunch.ordered_unbunchify(ob)\n\n    ## Interacting with PVL files\n    # Read full PVL file\n    imd = tt.pvl.read_from_pvl('/path/to/image.IMD')\n    type(imd)                               # returns collections.OrderedDict\n    imdob = tt.bunch.ordered_bunchify(img)  # Create an ordered bunch to ease \n                                            # interactive exploration\n    imdob.IMAGE_1.satID                     # Tab complete through the IMD files\n\n    # Read an item from a PVL file\n    tt.pvl.read_from_pvl('/path/to/image.IMD','satId') # return same as above\n    tt.pvl.read_from_pvl('/path/to/image.IMD','ULLon') # return a list of all\n                                                       # items matching key\n\n\n",
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