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475aa20270a7efficient_neuronet

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			-- Utility functions directory --

			* This is the directory containing functions that are used in the other
			modules in the code.

			* Files:
			- depend.py: Deals with the dependency detection, value caching and
			automatic updating of variables.
			- inputvalue.py: Contains the base classes used in reading the xml
			input file, and creating the restart file.
			- mathtools.py: Contains the algorithms used in various parts of the code.
			- messages.py: Contains the classes to generate info and warning messages
			to standard output during the simulation.
			- nmtransform.py: Contains the algorithms that deal with the normal mode
			and ring polymer contraction transformations.
			- prng.py: Deals with random number generation.
			- softexit: Contains the classes to deal with calls for a soft exit.
			- units.py: Holds atomic masses, fundamental constants, and unit conversions.

			* Directories:
			- io: Holds the modules that deal with reading and outputting files.