immutable sparse wave trees wavetree online with Winfy

We have hosted the application immutable sparse wave trees wavetree in order to run this application in our online workstations with Wine or directly.


Quick description about immutable sparse wave trees wavetree:

Realtime bigdata tool at the bit level based on immutable AVL forest which can be run in memory or, in future versions, as a merkle forest like a blockchain. Main object is a sparse bit string (Bits) that efficiently scales up to 2^63 bits normally compressed as forest has duplicated substrings. Bits objects support reading bit, byte, short, int, or long (Java primitives) at any bit index in 64 bit range. Example: instead of building a class to hold a header and then data, represent all of that as Bits, subranges of them, and ints for sizes of its parts. Expansion ability for other kinds of compression, since Bits is a Java interface. Main functions on bits are substring, concat, number of 0 or 1 bits, and number of bits (size). All those operations can be done millions of times per second regardless of size because the AVL forest reuses existing branches recursively. Theres a scalar (originally for copy/pasting subranges of sounds) and a bit Java package. Sparse n dimensional matrix.

Features:
  • AVL tree balancing avoids deep and slow forest
  • Bits substring, concat, and count 1 bits in any subrange or combination costs only log time and memory (millions of times per second on average computer)
  • Versioning on N dimensional matrix object (Multidim) since its only a view of Bits object. I've tested this on 10000 images from MNIST OCR data.
  • Scalar and Bit versions - Originally was scalar for copy/paste subranges of sound. Same operations work for bit strings
  • Can store sounds that are years long since its sparse. Same works for bit strings up to 2^63.


Audience: Information Technology, Science/Research, Telecommunications Industry, Developers, Security.

Programming Language: Java.
Database Environment: Project is a database abstraction layer (API).
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