Distributed Reservoir Sampling
    sketched out algorithm as instantiated on Apache Spark
Adjusted Layout Of License Notice
Uniform Distribution Based Reservoir Sampling Per Partition
wip - heap data structures
made uniform random sample in map phase slightly more efficient
generalized comparable pair data structure
completed reservoir sampling using heap method with random keys
bugfix: uniform reservoir sampling with heap now only returns values instead of comparable pairs
renamed deprecated methods and removed dependency on copy module
deleted unpromising reservoir.py and replaced with working reservoir sampling
Distributed Text Vectorizer
    preliminary pass at logic for getting global vocabulary and accumulating sparse vectorization of corpus
Implemented Distributed IDF Computation
wip - simple trie data structure for compressed lookups
wip - refactored simple trie class for readability
wip - defined insert method for simple trie
            refactored constructor and defined __add__
            stubbed __iter__ for later use in __add__
wip - defined remove method for simple trie
            defined __delitem__ and __del__
bugfix - remove method properly halts and removes pointers
wip - implemented begin_with but need to optimize
wip - switched to using in place add and subtract for appending to and trimming simple tries
arranged license notices to be homogenously positioned within each source file