###############################################################################
# Copyright 2009-2013 Alex Zvoleff
#
# This file is part of the pyabm agent-based modeling toolkit.
#
# This file is an example pyabmrc file for PyABM configuration. PyABM is 
# configured using a 'pyabmrc' text file.  When PyABM is imported in Python, 
# using:
#
#   import pyabm
#
# PyABM will search for a pyabmrc file. PyABM will search in three locations, 
# in order:
#
#	1) the current working directory
#	2) the current user's home directory
#	3) the pyabm module directory
#
# PyABM will use the first pyabmrc file it finds, ignoring any others. To set 
# custom values for any of the pyabmrc parameters, rename this file to 
# 'pyabmrc' and move it to one three above locations.  Changes can also be made 
# in the rcparams.defaults file in the PyABM module directory, but this is not 
# recommended as these values will be overwritten when PyABM is upgraded.
#
# Parameters are specified in the following format:
#
# 	parameter_name : value
#
# where 'parameter_name' is the name of the parameter, and 'value' is the 
# value. Parameters will be validated using the validation functions assigned 
# in the rcparams.defaults file. To add a new parameter to PyABM, the parameter 
# must first be defined in rcparams.defaults.
#
# See the README.rst file for author contact information.
###############################################################################

# Git binary. If git is used for version control of the model sourcecode, PyABM 
# will track the version of the code that used used to run the model in the 
# model results. Or, use 'None' to disable this feature.
path.git_binary : C:\Program Files (x86)\Git\bin\git.exe

# Rscript binary path. Will be used by PyABM to call R scripts to plot model 
# results after running a model. Or, use 'None' to disable this feature.
path.Rscript_binary : C:\Program Files\R\R-2.15.1\bin\Rscript.exe

# Default program to use for tailing model logfiles. Use 'None' to disable this 
# feature.
path.tail_binary : C:\Program Files (x86)\LogExpert\LogExpert.exe

# The following parameters are for the threaded_batch_run script in PyABM. The 
# script will run a total of batchrun.num_runs model runs, by spawning new 
# processes to run a total of batchrun.num_cores simultaneous model runs.  
# PyABM will use the Python binary located at batchrun.python_path.
batchrun.num_runs : 20
batchrun.num_cores : 1
batchrun.python_path : C:/Python27/python.exe

# The following parameters are for the 'email_log' function in PyABM. If you 
# wish to use the email_log function, these parameters must be set to valid 
# values. Given that the smtp password is stored as plain text, using a 
# temporary or PyABM specific email account is recommended.
email_log : False
email_log.smtp_server : smtp.example.com
email_log.smtp_username : someone
email_log.smtp_password : password
email_log.from : someone@example.com
email_log.to : someone@example.com

# random_seed seeds the random number generator (useful for regenerating
# results later). If it is set to 'None' no seed is given, and a seed will be 
# chosen by numpy using its default settings.  In either case, the seed is that 
# is used will be saved in the model output for later reuse.
random_seed : None