To install:

1. If not already installed, download and install the following packages:
		
	a. The numpy python library - provides fast floating-point array 
		operations in python. Versions earlier than 1.6 may not work.
		(http://numpy.scipy.org/)

	b. The cython python package - provides a variant of python that 
		compiles into C code that can itself be compiled and is faster (but
        less flexible) than ordinary python. Versions earlier than 0.17
		may not work. 
		(http://www.cython.org/)

	c. The setuptools package (optional). setuptools is used in place of
		distutils for installing the package, if setuptools is present. 
		setuptools automatically ensures that modules needed by gvar 
		are installed and sufficiently up-to-date. If setuptools is not 
		installed, distutils is used and dependencies are not checked --- 
		this must then be done by hand. To install setuptools either:
		1) download https://bootstrap.pypa.io/ez_setup.py
  		and run 'python ez_setup.py'; or 2) go to the setuptools website 
  		on PyPI for instructions.
  		(https://pypi.python.org/pypi/setuptools/)
				
	The gvar code works for Python 2.6 and 2.7, and Python 3.2-3.4. It
	does not work for Python versions 2.5.X or earlier. It has not been tested
	for Python 3.0 and 3.1, but likely works at least with the latter. Some
	of the tests don't work with Python 2.6.

2. Use 'make install'. This will build the gvar packages and 
	then copy it into a standard directory in the user's space that
	Python knows about. A list of the installed files is stored in file
	files-gvar.python (in case, for example, you want to uninstall them).
	
	N.B. Rather than using make and the makefile, one can instead use 
	standard distutils commands: eg, 'python setup.py install --user'
	
	N.B. If you have previously installed older versions of gvar,
	consider removing the earlier package to make sure that the new ones are 
	used by Python. This will not be a problem if the new package overwrites
	the older one, but could cause trouble if the new package is written 
	to a different place. Find out where the older package is stored by
	using 'pydoc gvar' before installing the new software, and make sure
	all vestiges of the old gvar are removed (pydoc lists the location of 
	the module under "FILE", at the end).
	
	N.B. To install gvar for an alternative version of python, say python3 
	for example, use 'make PYTHON=python3 install'. Python's standard 
	directories are structured in such a way that it is necessary to do 
	a separate installation for each python version that will be used for 
	gvar.
		
	N.B. If you have old code that uses the gdev module, install gdev.so
	using 'make install-gdev' (or 'python gdev-setup.py install --user'). 
	This creates aliases, using the old names, for the critical elements of
	the gvar package, thereby allowing most old code to run. Use gvar
	instead of gdev for new code.
	
3. (Optional) Run 'make tests' to test your installation of lsqfit if you
	are using Python 2.7 or later (they don't work as well with Python 2.6). 
	The tests have been successful if the output ends with "OK". 
	Some tests involve random numbers and so may occasionally --- less than 
	1 in 100 runs --- fail due to rare multi-sigma fluctuations; rerun the 
	tests if they do fail. Contact g.p.lepage@cornell.edu if there are 
	persistent, frequent failures.
	
	N.B. The tests can also be run directly using Python's unittest module:
	"python -m unittest discover".
		
4. (Optional) Use 'make clean' to erase work files/directories.

5. (Optional) Use 'make run-examples' to run the example files in 
   directory examples/. These are short, annotated examples, suitable
   for tinkering.

To uninstall:

1. 'make uninstall' (probably) uninstalls most of what was installed. It
    uses pip uninstall.


Problems:

	Contact Peter Lepage: g.p.lepage@cornell.edu


# Copyright (c) 2008-2015 G. Peter Lepage. 
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# any later version (see <http://www.gnu.org/licenses/>).
# 
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.
