import os

c = get_config()

#-----------------------------------------------------------------------------
# Select which launchers to use
#-----------------------------------------------------------------------------

# This allows you to control what method is used to start the controller
# and engines.  The following methods are currently supported:
# - Start as a regular process on localhost.
# - Start using mpiexec.
# - Start using the Windows HPC Server 2008 scheduler
# - Start using PBS/SGE
# - Start using SSH


# The selected launchers can be configured below.

# Options are:
# - LocalControllerLauncher
# - MPIExecControllerLauncher
# - PBSControllerLauncher
# - SGEControllerLauncher
# - WindowsHPCControllerLauncher
# c.IPClusterStartApp.controller_launcher = 'IPython.parallel.apps.launcher.LocalControllerLauncher'
# c.IPClusterStartApp.controller_launcher = 'IPython.parallel.apps.launcher.PBSControllerLauncher'

# Options are:
# - LocalEngineSetLauncher
# - MPIExecEngineSetLauncher
# - PBSEngineSetLauncher
# - SGEEngineSetLauncher
# - WindowsHPCEngineSetLauncher
# c.IPClusterEnginesApp.engine_launcher = 'IPython.parallel.apps.launcher.LocalEngineSetLauncher'

#-----------------------------------------------------------------------------
# Application configuration
#-----------------------------------------------------------------------------

# The default number of engines that will be started. This is overridden by
# the -n command line option: "ipcluster start -n 4"
# c.IPClusterEnginesApp.n = 2

# Log to a file in cluster_dir/log, otherwise just log to sys.stdout.
# c.BaseParallelApp.log_to_file = False

# Remove old logs from cluster_dir/log before starting.
# c.BaseParallelApp.clean_logs = True

# The working directory for the process. The application will use os.chdir
# to change to this directory before starting.
# c.BaseParallelApp.work_dir = os.getcwd()


#-----------------------------------------------------------------------------
# Local process launchers
#-----------------------------------------------------------------------------

# The command line arguments to call the controller with.
# c.LocalControllerLauncher.controller_args = \
#    ['--log-to-file','--log-level', '40']

# The working directory for the controller
# c.LocalEngineSetLauncher.work_dir = u''

# Command line argument passed to the engines.
# c.LocalEngineSetLauncher.engine_args = ['--log-to-file','--log-level', '40']

#-----------------------------------------------------------------------------
# MPIExec launchers
#-----------------------------------------------------------------------------

# The mpiexec/mpirun command to use in both the controller and engines.
# c.MPIExecLauncher.mpi_cmd = ['mpiexec']

# Additional arguments to pass to the actual mpiexec command.
# c.MPIExecLauncher.mpi_args = []

# The mpiexec/mpirun command and args can be overridden if they should be different
# for controller and engines.
# c.MPIExecControllerLauncher.mpi_cmd = ['mpiexec']
# c.MPIExecControllerLauncher.mpi_args = []
# c.MPIExecEngineSetLauncher.mpi_cmd = ['mpiexec']
# c.MPIExecEngineSetLauncher.mpi_args = []

# The command line argument to call the controller with.
# c.MPIExecControllerLauncher.controller_args = \
#     ['--log-to-file','--log-level', '40']

# Command line argument passed to the engines.
# c.MPIExecEngineSetLauncher.engine_args = ['--log-to-file','--log-level', '40']

# The default number of engines to start if not given elsewhere.
# c.MPIExecEngineSetLauncher.n = 1

#-----------------------------------------------------------------------------
# SSH launchers
#-----------------------------------------------------------------------------

# ipclusterz can be used to launch controller and engines remotely via ssh.
# Note that currently ipclusterz does not do any file distribution, so if
# machines are not on a shared filesystem, config and json files must be
# distributed.  For this reason, the reuse_files defaults to True on an
# ssh-launched Controller.  This flag can be overridded by the program_args
# attribute of c.SSHControllerLauncher.

# set the ssh cmd for launching remote commands. The default is ['ssh']
# c.SSHLauncher.ssh_cmd = ['ssh']

# set the ssh cmd for launching remote commands. The default is ['ssh']
# c.SSHLauncher.ssh_args = ['tt']

# Set the user and hostname for the controller
# c.SSHControllerLauncher.hostname = 'controller.example.com'
# c.SSHControllerLauncher.user = os.environ.get('USER','username')

# Set the arguments to be passed to ipcontrollerz
# note that remotely launched ipcontrollerz will not get the contents of 
# the local ipcontrollerz_config.py unless it resides on the *remote host*
# in the location specified by the --cluster_dir argument.
# c.SSHControllerLauncher.program_args = ['-r', '-ip', '0.0.0.0', '--cluster_dir', '/path/to/cd']

# Set the default args passed to ipengine for SSH launched engines
# c.SSHEngineSetLauncher.engine_args = ['--mpi', 'mpi4py']

# SSH engines are launched as a dict of locations/n-engines.
# if a value is a tuple instead of an int, it is assumed to be of the form
# (n, [args]), setting the arguments to passed to ipengine on `host`.
# otherwise, c.SSHEngineSetLauncher.engine_args will be used as the default.

# In this case, there will be 3 engines at my.example.com, and
# 2 at you@ipython.scipy.org with a special json connector location.
# c.SSHEngineSetLauncher.engines = {'my.example.com' : 3,
#                                   'you@ipython.scipy.org' : (2, ['-f', '/path/to/ipcontroller-engine.json']}
#                                  }

#-----------------------------------------------------------------------------
# Unix batch (PBS) schedulers launchers
#-----------------------------------------------------------------------------

# SGE and PBS are very similar. All configurables in this section called 'PBS*'
# also exist as 'SGE*'.

# The command line program to use to submit a PBS job.
# c.PBSLauncher.submit_command = ['qsub']

# The command line program to use to delete a PBS job.
# c.PBSLauncher.delete_command = ['qdel']

# The PBS queue in which the job should run
# c.PBSLauncher.queue = 'myqueue'

# A regular expression that takes the output of qsub and find the job id.
# c.PBSLauncher.job_id_regexp = r'\d+'

# If for some reason the Controller and Engines have different options above, they
# can be set as c.PBSControllerLauncher.<option> etc.

# PBS and SGE have default templates, but you can specify your own, either as strings
# or from files, as described here:

# The batch submission script used to start the controller. This is where
# environment variables would be setup, etc. This string is interpreted using
# Python's string formatting. Basically, you can use {queue} for the name
# of the PBS queue, and {profile_dir} for the profile_dir.
# c.PBSControllerLauncher.batch_template = """
# #PBS -N ipcontroller
# #PBS -q {queue}
# 
# ipcontroller profile_dir={profile_dir}
# """

# You can also load this template from a file
# c.PBSControllerLauncher.batch_template_file = u"/path/to/my/template.sh"

# The name of the instantiated batch script that will actually be used to
# submit the job. This will be written to the cluster directory.
# c.PBSControllerLauncher.batch_file_name = u'pbs_controller'

# The batch submission script used to start the engines. This is where
# environment variables would be setup, etc. This string is interpreted using
# Python's string formatting. Basically, you can use {queue} for the name
# of the PBS queue, and {profile_dir} for the profile_dir, and {n}
# for the number of engines.
# c.PBSEngineSetLauncher.batch_template = """
# #PBS -N ipengine
# #PBS -l nprocs={n}
# 
# ipengine profile_dir={profile_dir}
# """

# You can also load this template from a file
# c.PBSControllerLauncher.batch_template_file = u"/path/to/my/template.sh"

# The name of the instantiated batch script that will actually be used to
# submit the job. This will be written to the cluster directory.
# c.PBSEngineSetLauncher.batch_file_name = u'pbs_engines'



#-----------------------------------------------------------------------------
# Windows HPC Server 2008 launcher configuration
#-----------------------------------------------------------------------------

# c.IPControllerJob.job_name = 'IPController'
# c.IPControllerJob.is_exclusive = False
# c.IPControllerJob.username = r'USERDOMAIN\USERNAME'
# c.IPControllerJob.priority = 'Highest'
# c.IPControllerJob.requested_nodes = ''
# c.IPControllerJob.project = 'MyProject'

# c.IPControllerTask.task_name = 'IPController'
# c.IPControllerTask.controller_cmd = [u'ipcontroller.exe']
# c.IPControllerTask.controller_args = ['--log-to-file', 'log_level=40']
# c.IPControllerTask.environment_variables = {}

# c.WindowsHPCControllerLauncher.scheduler = 'HEADNODE'
# c.WindowsHPCControllerLauncher.job_file_name = u'ipcontroller_job.xml'


# c.IPEngineSetJob.job_name = 'IPEngineSet'
# c.IPEngineSetJob.is_exclusive = False
# c.IPEngineSetJob.username = r'USERDOMAIN\USERNAME'
# c.IPEngineSetJob.priority = 'Highest'
# c.IPEngineSetJob.requested_nodes = ''
# c.IPEngineSetJob.project = 'MyProject'

# c.IPEngineTask.task_name = 'IPEngine'
# c.IPEngineTask.engine_cmd = [u'ipengine.exe']
# c.IPEngineTask.engine_args = ['--log-to-file', 'log_level=40']
# c.IPEngineTask.environment_variables = {}

# c.WindowsHPCEngineSetLauncher.scheduler = 'HEADNODE'
# c.WindowsHPCEngineSetLauncher.job_file_name = u'ipengineset_job.xml'