def initialize( ):
"""
initialize SLIMpy environment
"""
env = InstanceManager()
from slimpy_base.Environment.hashTable import _HashTable
from slimpy_base.Environment.GlobalVars import GlobalVars as _GlobalVars
from slimpy_base.Environment.GraphManager import GraphManager
from slimpy_base.Environment.KeyStone import KeyStone
from slimpy_base.Core.MutiProcessUtils.EmploymentCenter import EmploymentCenter
from slimpy_base.utils.Records import Records
#singleton class any and all instances are the same in the same environment
env['graphmgr'] = GraphManager
# order matters fifo for exit funcs
env['table'] = _HashTable
env['record'] = Records
env['slimvars'] = _GlobalVars
env['keystone'] = KeyStone
env['center'] = EmploymentCenter
env.assure_new_instances( )
def slimpy_variable_emitter(target, source, env):
"""
add dependencies on SLIMpy global variables
if a variable defined in slimvars and specified in
env, then slimpy adds it as a Value source
"""
from slimpy_base.Environment.InstanceManager import InstanceManager
slimvars = InstanceManager()['slimvars']
for key in slimvars.keys():
if env.has_key(key):
par = env[key]
val = env.Value((key, par))
source.append(val)
return target, source
def windowm_mpi_runtime_map(command):
_env = InstanceManager()
nodemap = _env['slimvars'].get_node_map()
params = []
nodes = [node for node, _ in nodemap]
files = command.params
dist = even_dist(nodes, files, 0)
for (container, node_dist) in izip(files, dist):
if isinstance(node_dist, tuple):
from_node, to_node = node_dist
assert from_node in container.nodenames
container.node_copy(to_node)
else:
from_node, to_node = node_dist, node_dist
assert container.available_from(to_node)
if to_node in ['localhost', '']:
to_node = getfqdn()
params.append("%s:%s" % (to_node, container.get_data(to_node)))
return params, command.kparams
class SLIMBuilder(object):
"""
abstract class
"""
# log = Log()
# table = HashTable()
# slimvars = GlobalVars()
env = InstanceManager()
def isSource(self, val):
"""
test is val is a DataContainer or id of a DataContainer and
if that DataContainer is full
"""
try:
node = self.env['table'][val]
except KeyError:
return False
if isinstance(node, DataContainer):
return node.isfull()
return False
def format(self, nodename, params, kparams):
"""
creates a dictionary with the key "cmnd"
which is a string of all the
"""
env = InstanceManager()
table = env['table']
l = lambda a, b: str(a) + '="' + str(b) + '"'
cs = [self.getCmnd()]
push = cs.append
for par in params:
if isinstance(par, Node):
src = table[par.getID()]
par = src.get_data(nodename)
push(par)
for key, val in kparams.items():
if isinstance(val, Node):
val = val.get_data(nodename)
push(l(key, val))
# p = " ".join(map(str, params))
# k = " ".join(map(l , kparams.items()))
# cs = " ".join([self.getCmnd(),p, k])
return " ".join(map(str, cs))
def __new_instance__(self, name):
'''
create a new instance
'''
Singleton.__new_instance__(self, name)
self.lock = RLock()
with self:
self._jobs_posted = 0
self._jobs_finished = 0
self._done = False
self._error = False
self._error_message = None
self._pids = set()
self._aborted_pids = set()
self._waiting_list = set()
self._event = Event()
self.__node_names = []
self.nodes = {}
self._idle = set()
self._fin = set()
self._head_node = ("__main__", "__main__")
self.env = InstanceManager()
self._semaphore = None
def testprepend_datapath(self):
env = InstanceManager()
local_dp = 'local_dp'
tmp_global_dp = 'tmp_global_dp'
global_dp = 'global_dp'
env['slimvars']['localtmpdir'] = local_dp
env['slimvars']['globaltmpdir'] = tmp_global_dp
env['slimvars']['datapath'] = global_dp
itr = [
[(None, None), None],
[(False, None), None],
[(True, None), None],
[(None, True), None],
[(True, True), local_dp],
[(False, True), tmp_global_dp],
[(None, False), global_dp],
[(True, False), global_dp],
[(False, False), global_dp],
]
for (is_loc, is_tmp), ans in itr:
res = Unix_Pipes.prepend_datapath(is_loc, is_tmp, 'com')
if ans is None:
self.assertFalse("DATAPATH" in res, "expected no datapath")
else:
self.assertTrue(ans in res, "expected %(ans) got %(res)s")
class Worker(Thread, Runner):
"""
Worker runs jobs
"""
env = InstanceManager()
def __init__(self, name, master_id, processor=0):
self.master_id = master_id
self.processor = processor
self.env['center'].subscribe(name, processor)
Thread.__init__(self, name=name)
self.pid = 0
self.thread_state = "init"
def _get_ts(self):
return self._thread_state
def _set_ts(self, val):
self._thread_state = val
return
# print self, val
thread_state = property(_get_ts, _set_ts)
## print status of thread as a traceback
def status(self):
"""
print status of thread
"""
if self.isAlive():
f = _current_frames()[self._ident]
traceback.print_stack(f)
else:
print "Not Alive"
def run(self):
'''
run method needed by thread class
calls self.main_loop
'''
self.thread_state = "running"
self._ident = get_ident()
self.env.current_env = self.master_id
try:
self.main_loop()
except Exception, msg:
# print "worker calling error"
self.env['center'].error = True, (str(self), str(msg))
self.safe_release_lock()
# print self,'Thread Terminated'
self.thread_state = "exit error"
raise
self.thread_state = "exit"
return
class MultiCoreRunner(presStack):
"""
Runs commands from the graph. uses two stacks to keep
track of dependencies and perhaps run several commands
at the same time.
"""
env = InstanceManager()
def __init__(self):
self.created_nodes = set()
self.nodes = None
presStack.__init__(self)
def set_graph(self, graph):
"""
runner.set_graph( graph )
sets the graph to graph
"""
presStack.set_graph(self, graph)
center = self.env['center']
center.reset()
self.nodes = {}
if len(center.node_names) == 0:
raise Exception("No nodes to work on")
for nodename in center.node_names:
proc_list = self.nodes.setdefault(nodename, [])
ppn = len(proc_list)
worker = Worker(nodename, self.env.current_env, processor=ppn)
proc_list.append(worker)
center.set_event()
assert not center.done
def run(self):
"""
required by Thread
"""
center = self.env['center']
try:
self.main_loop()
except Exception, msg:
center.error = True, msg
self.safe_release_lock()
center.abort_all()
self.join_all()
raise
self.join_all()
center.reset()
def action(signum, stack_frame):
'''
action to catch alarm
'''
print
print "WallTime exceded"
print
env = InstanceManager()
env['center'].error = True
def __init__(self, inSpace, num_blocks):
env = InstanceManager()
np = env['slimvars']['np']
if prod(num_blocks) != np:
raise Exception(
"num_blocks does not match mpi variable 'np', %(num_blocks)s != %(np)s "
% vars())
kparams = dict(num_blocks=tuple(num_blocks))
LinearOperatorStruct.__init__(self, inSpace, **kparams)
class Node(object):
"""
Node class to represent data and commands in the hash table
"""
env = InstanceManager()
_objID = None
__setstate__ = None
name = "Node"
def __init__(self, obj):
"""
take any object and store it to the hashtable
while tracking it with this node instance
"""
table = self.env['table']
self._objID = table.append(obj)
def get(self):
"""
get object associated with this node from the hash Table
"""
table = self.env['table']
return table[self._objID]
def getID(self):
"""
return int id of node object
"""
return self._objID
id = property(getID)
def __str__(self):
return "(%s:%s)" % (self.name, self._objID)
def __repr__(self):
return self.__str__()
def __getattr__(self, attr):
return getattr(self.get(), attr)
def __eq__(self, other):
if isinstance(other, Node) and self.id == other.id:
return True
else:
return False
class Runner(object):
"""
Abstract class
"""
# log = Log()
env = InstanceManager()
cleaner = None
created_nodes = None
def set_graph(self, graph):
raise NotImplementedError("Please use a subclass of RunnerBase")
# def addSource(self, source):
# """
# add a source to the graph manager
# """
# self.env['graphmgr'].addSource(source)
def add(self, commands):
"""
simple helper function
TODO: replace with reduce( lambda x,y:y+y,commands)
"""
commands = list(commands)
prev = commands.pop(0)
if not commands:
if prev.adder is None:
return prev
else:
return prev + None
while commands:
next = commands.pop(0)
prev = prev + next
return prev
def get_new_sources(self):
if self.cleaner is None:
cleaned_nodes = set()
else:
cleaned_nodes = self.cleaner.get_cleaned_nodes()
if self.created_nodes is None:
remaining = set()
else:
remaining = self.created_nodes.difference(cleaned_nodes)
return remaining
class RecordHelper( object):
env = InstanceManager()
def __init__(self,verbose_level ,node, debug):
self.msg_record_item = { 'verb':verbose_level,
'node':node,
'debug':debug}
def write(self,msg):
msg_record_item = self.msg_record_item.copy()
msg_record_item['msg'] = msg
self.env['record'].rec( msg_record_item )
def __new_instance__(self, name):
"""
simalar to init but for singleton
initializes the class when a new instance is created
"""
Singleton.__new_instance__(self, name)
# self.log = Log()
self.env = InstanceManager()
self.graph = DiGraph()
self.__breakpoints = set()
self.__sources = set()
self.__targets = set()
self.runner = defaultRunner()
self.builder = PipeBuilder()
def build(self, target, source, env):
# env['runtype'] = 'dryrun'
env['verbose'] = ARGUMENTS.get('verbose', 0)
debug = ARGUMENTS.get('debug', None)
if debug:
debug = debug.split(',')
else:
debug = []
env['debug'] = debug
env['logfile'] = None
runner = dottestRunner()
from slimpy_base.Environment.InstanceManager import InstanceManager
__env__ = InstanceManager()
__env__['graphmgr'].setRunner(runner)
self.act(target, source, env)
class BuilderBase(object):
"""
abstract class
"""
# log = Log()
# table = HashTable()
# slimvars = GlobalVars()
env = InstanceManager()
def __init__(self):
pass
def build(self, g, targets, sources, breakpoints, **k):
raise NotImplementedError(
"Builer subclass must implement build method")
def isSource(self, val):
"""
test if val is a DataContainer or id of a DataContainer and
if that DataContainer is full
"""
try:
node = self.env['table'][val]
except KeyError:
return False
if isinstance(node, DataContainer):
return node.isfull()
return False
def get_graph(self):
return self._graph
def set_graph(self, graph):
self._graph = graph
graph = property(get_graph, set_graph)
class VectorFactory( object ):
"""
factory class to contain data into a subclass of
dataContainer and put that into a vector
"""
__metaclass__ = Profileable
"""
Class used as a convinience method to contain various data formats and
return a vector
"""
# graphmgr = GraphManager()
env = InstanceManager()
@note("class is initialized by user")
def __init__( self ):
"""
nothing done in the init
"""
pass
def __call__( self, data ):
"""
contain data into a subclass of dataContainer and put that into a vector
"""
if isinstance(data, ADI):
newdata = data.container
else:
newdata = contain( data )
self.env['graphmgr'].add_source( newdata )
return Vector( newdata )
def __str__(self):
return "<SLIMpy function: vector>"
def __repr__(self):
return "SLIMpy.VectorFactory( )"
def __init__(self, *arg, **kw):
'''
'''
new_kw = dict(version=make_version())
new_kw.update(kw)
OptionParser.__init__(self, *arg, **new_kw)
self._required = set()
self._types = {}
self._defaults = {}
self._prog_args = []
self.env = InstanceManager()
self.add_all_slim_options()
from slimpy_base.setup.DEFAULTS import DEFAULTS
self.set_defaults(**DEFAULTS)
class WorkerTester(TestCase):
env = InstanceManager()
def testrun(self):
worker = Worker("nodename", self.env.current_env, processor=1)
# with self.env['center'] as center:
# worker.start()
def testsafe_release_lock(self):
if NI: raise NotImplementedError("test not implemented")
def test__str__(self):
if NI: raise NotImplementedError("test not implemented")
def testmain_loop(self):
if NI: raise NotImplementedError("test not implemented")
def testprint_(self):
if NI: raise NotImplementedError("test not implemented")
def testabort(self):
if NI: raise NotImplementedError("test not implemented")
def testrun_job(self):
if NI: raise NotImplementedError("test not implemented")
def test__init__(self):
worker = Worker("nodename", self.env.current_env, processor=1)
center = self.env['center']
self.failUnless(("nodename", 1) in center.idle)
class solver(object):
"""
Abstract class
"""
# slimvars = GlobalVars()
env = InstanceManager()
# log = env['record']
def __init__(self):
pass
def solve(self, A, x):
"""
Not ImplementedError
"""
raise NotImplementedError("Must subclass sovler base class")
def __str__(self):
return "<SLIMpy abstract solver>"
def __repr__(self):
return "<SLIMpy abstract solver>"
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with SLIMpy . If not, see <http://www.gnu.org/licenses/>.
"""
from slimpy_base.Core.User.Structures.Scalar import *
from numpy import real_if_close as numpy_real_if_close
from slimpy_base.Environment.InstanceManager import InstanceManager
from slimpy_base.utils.RegisterType import register_slimpy_func
## The SLIMpy global environment
__env__ = InstanceManager( )
## for * import
__all__ = [ "scalar_max",
"scalar_min",
"real_if_close",
"scalar_value",
"scalar_mean" ]
def generate_new_scalar( one, other, func):
"""
generate_new_scalar( one, other, func) -> scalar
"""
scalar = Scalar( )
trg_scal = Target( scalar )
src_self = Source( one )
class Vector( ADI ):
"""
When creating a SLIMpy Vector using the command
vector(filename) several variables are initialized.
The only input that the user should need is `file`
corresponding to a file on disk. The other variables are mostly for internal use.
If file is not None, creates a vector instance with a pointer to the file `file`.
If create is given as a list on integers a vector with a temporary
name and the given size will be created.
There are more easy to use functions such as zeros to create a file
"""
## for string
name = "Vector"
## slimpy global variables
env = InstanceManager()
## vector implements VectorType
__metaclass__ = VectorType
def __new__( cls, *args ): #IGNORE
if args and isinstance(args[0], ndarray):
from slimpy_base.User.AumentedMatrix.AugVector import AugVector
avec = AugVector( args[0] ).ravel()
for idx, container in enumerate( avec):
avec[idx] = Vector( container )
return avec
else:
return object.__new__( cls, *args )
## Constructor form a data container
def __init__( self, container ):
"""
data - must be a data_container.
"""
ADI.__init__( self, container )
self.__transpose_flag = False
self.__sorted_vector = None
##########################################################################
### OPERATOR OVERLOADS ###
##########################################################################
def _get_transp_flag(self):
return self.__transpose_flag
def _set_transp_flag(self,val):
self.__transpose_flag = bool(val)
## test if vector is transposed
is_transp = property( _get_transp_flag, _set_transp_flag )
def __setitem__( self, index, item ):
"""
Sets an item in the vector dictionary
"""
raise Exception, "not implemented. Ask me to do it later"
## returns a @ref slimpy_base.Core.User.Structures.VectorSpace.VectorSpace "VectorSpace" representing this vector
def getSpace( self ):
"""
returns a Space object that contains all of the information
about this vector
"""
from slimpy_base.Core.User.Structures.VectorSpace import VectorSpace
return VectorSpace( self.getParameters( ) )
## getter property for getSpace
space = property( getSpace )
# Overloads [i:j] Returns a __numarray array from index i to j from the binary file
# def __getslice__(self,start,stop,step=1):
# """
# Returns a numarray array from index i to j from the binary file.
# If j is less than i or i is greater than the length of the vector, returns a
# numarray array of zero elements.
# Otherwise it behaves like a list.
# """
# s = slice(start,stop,step)
#
# return self.genScalar('getslice',s)
#raise Exception , "not implemented. Ask me to do it later"
# Overloads [i:j] Writes a __numarray array from index i to j to the binary file
## set a slice of this data inplace
def __setslice__( self, i, j, data ):
"""
Writes a numarray array from index i to j to the binary
file corresponding to the data_container.
"""
raise Exception , "not implemented. Ask me to do it later"
## @name Vector Transformation Operations
#
# @{
## Overload the '+' __operator if other can be a scalar or another vector
# for self + other invokes math()
def __add__( self, other ):
"""
vec1.__add__(vec2) <==> vec1 + vec2
"""
if other is 0:
return self
if other is self:
return self *2
par = other
if isinstance( other, Vector ):
par = Source( other.getContainer() )
return self.generateNew( 'add', vec=par )
else:
par = self.source_or_num( par )
return self.generateNew( 'add', par )
## Overload the '+' __operator for other + self
def __radd__( self, other ):
"""
vec1.__radd__(vec2) <==> vec2 + vec1
vec2 may be a scalar or a vector
"""
return ( self + other )
## Overload the '-' __operator if other can be a scalar or another vector
def __neg__( self ):
"""
vec1.__neg__() <==> -vec1
"""
return self.generateNew( 'neg' )
## Overload the '-' __operator if other can be a scalar or another vector
def __sub__( self, other ):
"""
self..__sub__(other) <==> self - other
vec2 may be a scalar or a vector
"""
if other is 0:
return self
if other is self:
return self.space.zeros()
par = other
if isinstance( other, Vector ):
par = Source( other.getContainer() )
return self.generateNew( 'sub', vec=par )
else:
par = self.source_or_num( par )
return self.generateNew( 'sub', par )
## Overload the '-' __operator
# if other can be a scalar or another vector for other - self
def __rsub__( self, other ):
"""
vec1.__rsub__(vec2) <==> vec2 - vec1
vec2 may be a scalar or a vector
"""
par = other
if isinstance( other, Vector ):
par = Source( other.getContainer() )
return self.generateNew( 'rsub', vec=par )
else:
par = self.source_or_num( par )
return self.generateNew( 'rsub', par )
## Overload the '/' __operator if other can be a scalar or another vector
def __div__( self, other ):
"""
vec1.__div__(vec2) <==> vec1 / vec2
vec2 may be a scalar or a vector
"""
if other is 1:
return self
if other is self:
return self.space.ones()
par = other
if isinstance( other, Vector ):
par = Source( other.getContainer() )
return self.generateNew( 'div', vec=par )
else:
par = self.source_or_num( par )
return self.generateNew( 'div', par )
## Overload the '/' __operator if other can be a scalar or another vector
def __rdiv__( self, other ):
"""
vec1.__rdiv__(vec2) <==> vec2 / vec1
vec2 may be a scalar or a vector
"""
par = other
if isinstance( other, Vector ):
par = Source( other.getContainer() )
return self.generateNew( 'rdiv', vec=par )
else:
par = self.source_or_num( par )
return self.generateNew( 'rdiv', par )
## Overload the '*' __operator if other can be a scalar or another vector
def __mul__( self, other ):
"""
vec1.__mul__(vec2) <==> vec1 * vec2
vec2 may be a scalar or a vector
"""
if other is 0:
return 0
if other is 1:
return self
if other is self:
return self ** 2
par = other
if isinstance( other, Vector ):
if self.is_transp ^ other.is_transp:
if self.is_transp:
return inner_product( self, other )
else:
return outer_product( self, other )
par = Source( other.getContainer() )
return self.generateNew( 'mul', vec=par )
else:
par = self.source_or_num( par )
return self.generateNew( 'mul', par )
## Overload the '*' __operator if other can be a scalar or another vector
def __rmul__( self, other ):
"""
vec1.__rmul__(vec2) <==> vec2 * vec
"""
return self.__mul__( other )
## Overload the '**' __operator if other can be a scalar or another vector
def __pow__( self, other ):
"""
vec1.__pow__(vec2) <==> vec1 ** vec2
vec2 may be a scalar or a vector
"""
if other is 1:
return self
par = other
if isinstance( other, Vector ):
par = Source( other.getContainer() )
return self.generateNew( 'pow', vec=par )
else:
par = self.source_or_num( par )
return self.generateNew( 'pow', par )
## Overload abs()
def __abs__( self ):
"""
Vector.__abs__(vec2) <==> abs(vec1)
vec2 may be a scalar or a vector
"""
return self.generateNew( 'abs' )
##########################################################################
# Boolean comparison operators
##########################################################################
## boolean comparison
def __or__(self, other):
"""
vec1 | vec2 -> vec3
"""
return spboolean.or_( self, other )
## boolean comparison
def __and__(self,other):
"vec1 & vec2 -> vec3"
return spboolean.and_( self, other )
## boolean comparison
def __lt__(self,other):
"""
vec1.__lt__(vec2) <==> vec1 < vec2
"""
return spboolean.less_than( self, other )
## boolean comparison
def __gt__(self,other):
"""
vec1.__gt__(vec2) <==> vec1 > vec2
"""
return spboolean.greater_than( self, other )
## boolean comparison
def __le__(self,other):
"""
vec1.__le__(vec2) <==> vec1 <= vec2
"""
return spboolean.less_than_eq(self, other)
## boolean comparison
def __ge__(self,other):
"""
vec1.__lt__(vec2) <==> vec1 >= vec2
"""
return spboolean.greater_than_eq(self, other)
## boolean comparison
def __eq__(self,other):
"""
vec1.__eq__(vec2) <==> vec1 == vec2
"""
return spboolean.equal(self, other)
## boolean comparison
def __ne__(self,other):
"""
vec1.__ne__(vec2) <==> vec1 != vec2
"""
return spboolean.not_equal( self, other )
## thresholding operation
# @param obj can be a Scalar or vector
# @param mode one of 'soft', 'hard' or 'nng'
def thr( self, obj, mode='soft' ):
"""
Returns a thresholded vector.
obj - may be a scalar or a vector.
mode - may be 'soft', 'hard' or 'nng'
"""
par = obj
if isinstance( obj, Vector ):
par = Source( obj.getContainer() )
return self.generateNew( 'thr' , mode=mode, fthr=par )
else:
par = self.source_or_num( par )
return self.generateNew( 'thr' , mode=mode, thr=par )
## hard thresholding
def thrhard( self, obj ):
"""
Returns a thresholded vector.
obj - may be a scalar or a vector.
Same as vector.sort(obj,'hard')
"""
return self.thr( obj, mode='hard' )
def garrote( self, obj ):
"""
Returns a garroted vector.
obj - may be a scalar or a vector.
Same as vector.sort(obj,'nng')
"""
return self.thr( obj, mode='nng' )
## Sort a vector by absolute values
# @param ascmode sort in ascending or descending order
# @param memsize define memory size of system
def sort( self, ascmode=False, memsize=None ):
"""
Returns a vector with a sorted data set.
"""
if memsize is None:
memsize = self.env['slimvars']['memsize']
return self.generateNew( "sort", memsize=memsize, ascmode=ascmode )
## real part of vector
def __real__( self ):
"""
Returns a vector containing the real component of a complex vector.
"""
if self.space.isComplex():
return self.generateNew( 'real' )
else:
return self
## imaginary part of vector
def __imag__( self ):
"""
Returns a vector containing the imaginary component of a complex vector.
"""
return self.generateNew( 'imag' )
## @}
real = __real__
imag = __imag__
##########################################################################
### END OF OPERATOR OVERLOADS ###
##########################################################################
## @name Scalar Reduction Operations
#
# @{
def __getitem__( self, index ):
"""
If index is a string: Returns an item from one of the dictionaries.
Checks the vector dictionary first.
If index is a number: Returns a number at index from the binary file.
"""
if isinstance( index, (int,Scalar) ):
ind = self.source_or_num(index)
return self.scalar_reduction( 'getitem', ind )
elif isinstance( index, str ):
raise Exception, "not implemented. Ask me to do it later"
elif isinstance( index, slice ):
l = len( self.getSpace() )
ind = index.indices( l )
return self.scalar_reduction( 'getslice', ind )
else:
raise TypeError , "expected int or string got %s" % type( index )
## root mean square of vector
# @return a slimpy_base.Core.User.Structures.Scalar.Scalar object
def rms( self ):
""" Returns the root mean square"""
return self.scalar_reduction( 'rms' )
## maximum element of vector
# @return a slimpy_base.Core.User.Structures.Scalar.Scalar object
def max( self ):
""" Returns the maximum value"""
return self.scalar_reduction( 'max' )
## minimum element of vector
# @return a slimpy_base.Core.User.Structures.Scalar.Scalar object
def min( self ):
""" Returns the minimum value"""
return self.scalar_reduction( 'min' )
## mean value of vector
# @return a slimpy_base.Core.User.Structures.Scalar.Scalar object
def mean( self ):
""" Returns the mean value"""
return self.scalar_reduction( 'mean' )
## variance of vector
# @return a slimpy_base.Core.User.Structures.Scalar.Scalar object
def var( self ):
""" Returns the variance"""
return self.scalar_reduction( 'var' )
## standard deviation of vector
# @return a slimpy_base.Core.User.Structures.Scalar.Scalar object
def sdt( self ):
""" Returns the standard deviation"""
return self.scalar_reduction( 'std' )
## lval-norm of vector
# @return a slimpy_base.Core.User.Structures.Scalar.Scalar object
# @param lval power of the norm
def norm( self, lval=2 ):
""" Returns the lval norm of the vector """
return self.scalar_reduction( 'norm', lval )
## ith order statistic of the vector (ith smallest element),
# @param i index within size of vector
def orderstat( self, i ):
"""
Returns the ith order statistic of the vector (ith smallest element),
i.e. i=0 is smallest, i=1 second smallest, etc.)
Negative indexing starts with the largest element, i.e. i=-1 is largest,
i=-2 second largest, etc.
"""
if not 'sorted' in self.__dict__:
self.sorted = self.sort( ascmode=False )
if i<0:
i = len( self.getSpace() ) + i
return self.sorted[i]
## @}
#
#===============================================================================
# DEPRECATED
#===============================================================================
## @name Deprecated
# these functions have been replaced by linear operators
# @{
def conj( self ):
"""
return vector conjugate of data
"""
if self.space.isComplex():
return self.generateNew( 'conj' )
else:
return self
## gradient of the vector
def grad( self ):
"""
Returns a vector containing the gradient of the vector.
"""
#return __comp([self.generateNew('halfderiv'),self.generateNew('halfderiv')])
return self.generateNew( 'grad' )
# NOISE
def noise( self, mean=0, seed=None ):
"""
Returns vector with added random noise.
mean - noise mean
seed - noise seed
"""
param = dict( mean=mean, seed=seed )
if seed is None:
param.pop( 'seed', None )
return self.generateNew( 'noise', **param )
## TRANSP
# @TODO: Move transp to image
# @deprecated
def transp( self, a1=1, a2=2, memsize=100 ):
"""
transpose a dataset
"""
if a1 == a2:
return self
return self.generateNew( 'transp', plane=( a1, a2 ), memsize=memsize )
## @}
def _transpose(self):
vec = Vector( self.container )
vec.is_transp = not vec.is_transp
return vec
## symbolic transpose of the vector
# @warning does not transpose underlying image
T = property( _transpose )
def _conj_transp(self):
vec = Vector(self.container).conj( )
vec.is_transp = not self.is_transp
return vec
H = property( _conj_transp )
## sets the name of the file on disk
def setName( self, name, path=None ):
"""
set the name of this vector. Makes it non persistent.
"""
if not path is None:
name = join( path, name )
container = self.getContainer()
container.setName( name , path=None )
self.env['graphmgr'].add_target( container )
return self
## plot vector
# @todo: should not be a vector method
def plot( self, command=None, plotcmd=None ):
"""
calls plot method of this vectors container
"""
try:
self.flush()
except: #IGNORE:W0704
pass #IGNORE:W0702
self.container.plot( command=command, plotcmd=plotcmd )
## reshape underlying image
# @todo: should not be a vector method
def reshape(self, *shape):
if len(shape) is 1 and isinstance(shape[0], (list,tuple)):
shape = shape[0]
return self.generateNew( "reshape" , shape=shape )
SLIMpy 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 Lesser General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with SLIMpy . If not, see <http://www.gnu.org/licenses/>.
"""
from unittest import TestCase, defaultTestLoader
from slimpy_base.Core.Interface.Structure import Structure
from slimpy_base.Core.Command.Command import Command
from slimpy_base.Environment.InstanceManager import InstanceManager
_env = InstanceManager()
NI = True
class StructureTester(TestCase):
def testgenerate_command(self):
struct = Structure()
_env['slimvars']['keep_tb_info'] = False
c1 = struct.generate_command('cmnd', a1=11)
c2 = Command('cmnd', None, a1=11)
self.failUnlessEqual(c1, c2)
class Scalar(object):
'''
Scalar object contains class methods to work on rsf data
'''
env = InstanceManager()
# log = Log()
re_float = re_compile('[-+]?\d*\.\d*')
@classmethod
def get_command(cls, cmd):
'@deprecated: '
if hasattr(cls, cmd):
return cls(cmd)
else:
raise TypeError('No Scalar command "%s" in RSF ' % cmd)
def __init__(self, cmd):
if not hasattr(self, cmd):
raise TypeError('No Scalar command "%s" in RSF ' % cmd)
self._command_name = cmd
def __call__(self, container, scalar, *args, **kw):
'''
only non classmethod calls methoc given by self._command_name
'''
if not hasattr(self, "_command_name"):
raise AttributeError("scalar class not initialized")
cmd = self._command_name
attr = getattr(self, cmd)
container.node_copy('localhost')
attr(container, scalar, *args, **kw)
# slimvars = GlobalVars()
def __str__(self):
return "rsf scalar method %s" % self._command_name
def __repr__(self):
return self.__str__()
@staticmethod
def rms(container, scalar):
""" Returns the root mean square"""
num = Scalar.attr(container, scalar, want='rms')
scalar.set(num)
@staticmethod
def max(container, scalar):
""" Returns the maximum value"""
num = Scalar.attr(container, scalar, want='max')
scalar.set(num)
@staticmethod
def min(container, scalar):
""" Returns the minimum value"""
num = Scalar.attr(container, scalar, want='min')
scalar.set(num)
@staticmethod
def mean(container, scalar):
""" Returns the mean value"""
num = Scalar.attr(container, scalar, want='mean')
scalar.set(num)
@staticmethod
def var(container, scalar):
""" Returns the variance"""
num = Scalar.attr(container, scalar, want='var')
scalar.set(num)
@staticmethod
def sdt(container, scalar):
""" Returns the root"""
num = Scalar.attr(container, scalar, want='std')
scalar.set(num)
@staticmethod
def norm(container, scalar, lval=2):
""" Returns the lval norm of the vector """
is_inf = lval == inf or (isinstance(lval, str)
and lval.lower() == 'inf') #IGNORE:E1103
if is_inf:
a1 = Scalar.attr(container, scalar, want='max')
a2 = Scalar.attr(container, scalar, want='min')
num = max(abs(a1), abs(a2))
else:
num = Scalar.attr(container, scalar, want='norm', lval=lval)
scalar.set(num)
@staticmethod
def attr_make_number(atr):
'''
call eval on atr if result is tuple make complex
@param atr: string
@type atr:str
'''
num = eval(atr)
if isinstance(num, tuple):
num = complex(*num)
return num
@staticmethod
def attr(container, scalar, want='norm', lval=2):
"""
fetches various attributes of the vector.
vector will be flushed prior to the operation.
TODO: make it so that the vector does not flush automatically.
"""
# command = "%(path)s < %(data)s want=%(want)s lval=%(lval)s" %vars()
command = ATTRMD(attr=SFATTR(),
file=container.get_data('localhost'),
want=want,
lval=lval)
#define parameters for the pipe
print >> __env__['record'](1, 'cmd'), command
p0 = Popen(command, shell=True, stdout=PIPE, stderr=PIPE)
err = p0.wait()
if err:
lines = p0.stderr.read()
p0.stderr.close()
p0.stdout.close()
raise IOError(err, command + '\n' + lines)
output = p0.stdout.read()
p0.stderr.close()
p0.stdout.close()
n = output.split('=')[-1].split('at')[0]
return Scalar.attr_make_number(n)
@staticmethod
def project(container, scalar, lamb=None):
'''
returns threshold value that will
threshold the vector to a 1-norm of lamb
'''
if lamb is None:
raise TypeError('Must specify "lamb=" value')
command = PROJCMD(
project=SFPROJECT(),
file=container.get_data('localhost'),
lamb=lamb,
)
p0 = Popen(command, shell=True, stdout=PIPE, stderr=PIPE)
err = p0.wait()
if err:
lines = p0.stderr.read()
p0.stderr.close()
p0.stdout.close()
raise IOError(err, command + '\n' + lines)
n = p0.stdout.read()
p0.stderr.close()
p0.stdout.close()
assert 'tau=' in n
num = n.split('=')[-1].strip()
scalar.set(float(num))
@staticmethod
def getitem(container, scalar, item):
"get item-th element from the vector"
if not isinstance(item, int):
raise TypeError, "getitem got %(item)s expected int"
# params = container.getParameters( )
print >> __env__['record'](1, 'cmd'), "getitem( %s )" % (item)
item = container.readbin(start=item, len=1)[0]
l = lambda x: (
(x == int32 and int) or (x == float32 and float) or
(x == float64 and float) or (x == complex64 and complex))
t = l(type(item))
num = t(item)
scalar.set(num)
return
class rsf_data_container(DataContainer):
"""
rsf_data_container - to keep track of "out of core" vectors
corresponding binary files on disk.
"""
suffix = ".rsf"
psuffix = ".vpl"
name = "rsf"
# slimvars = GlobalVars()
# log = Log()
env = InstanceManager()
COUNT = 0
sfFactory = rsfCommandFactory()
# command = "%(path)s < %(data)s want=%(want)s lval=%(lval)s" %vars()
_scalar_methods = ScalarMethods
@classmethod
def isCompatibleWith(cls, obj):
'''
statict method to determine if 'obj' is an rsf file
@param obj:
@type obj: any object that would be
contained in a datacontainer class
'''
obj = str(obj)
if obj.endswith(cls.suffix):
if not isfile(obj):
raise Exception, "the file %s can not be found" % (obj)
return True
if isfile(obj + cls.suffix):
return True
return False
def __init__(self,
data=None,
parameters=None,
command=None,
tmp=None,
nodenames=None,
target_node=None):
# self.scalar = Scalar()
self.SFRM = join(self.env['slimvars']['RSFBIN'], 'sfrm')
self.SFGREY = join(self.env['slimvars']['RSFBIN'], 'sfgrey')
self.SFMV = join(self.env['slimvars']['RSFBIN'], 'sfmv')
self.XTPEN = join(self.env['slimvars']['RSFBIN'], 'xtpen')
self.SFATTR = join(self.env['slimvars']['RSFBIN'], 'sfattr')
self.SFDD = join(self.env['slimvars']['RSFBIN'], 'sfdd')
self.PLOTCMD = Template("< ${data} ${plotcmd} | ${viewcmd} &")
self.MVCMD = Template("${mv} ${From} ${To}")
self.RMCMD = Template("${rm} ${file}")
self.ATTRMD = Template("${attr} < ${file} want=${want} lval=${lval} ")
node_info = None
if data is not None:
data = str(data)
data = abspath(data)
if not data.endswith(self.suffix):
data = data + self.suffix
dname = dirname(data)
data = basename(data)
node_info = dict(location=dname)
DataContainer.__init__(self,
data=data,
parameters=parameters,
command=command,
tmp=tmp,
nodenames=nodenames,
node_info=node_info,
target_node=target_node)
def __setitem__(self, item, value):
"""
"""
raise NotImplementedError
# assert item == 'data', "can not set the item %s(item)s" % vars()
def makeparams(self):
'''
returns a param object created from the data contained
ie. the rsf header info
'''
par = DataContainer.makeparams(self)
# RSF specific stuff
try:
format, data_type = par['data_format'].split('_')
except KeyError:
print self, 'has no key "data_format"'
raise
par['data_type'] = data_type
return par
def genname_helper(self, string):
"""
formatting and better output files, no more tempname just 'slim.%prog.%cmd.%id.rsf'
where %prog is the main programs name and %cmd is the last command
on the pipe that created the data and
%id is a unique incremented identifier
"""
main_file = "ineractive"
main = modules['__main__']
if hasattr(main, '__file__'):
main_file = main.__file__
prog = basename(main_file)[:-3]
join_dot = lambda *args: ".".join(args)
pid = str(getpid())
cur_env = self.env.current_env
make = lambda fcn, cnt: join_dot('slim', pid, cur_env, prog[:6],
fcn[:5], "%.5d" % cnt) + self.suffix
if exists(string):
string = split(string)[1]
self.__class__.COUNT += 1
filename = make(string, self.COUNT)
while exists(filename):
self.__class__.COUNT += 1
filename = make(string, self.COUNT)
return filename
def genName(self, command=None):
"""
generate a random name if command is given
then generate a unique but formatted name
'slim.%prog.%cmd.%id.rsf'
"""
if command is not None and hasattr(command, 'tag') and isinstance(
command.tag, str):
filename = self.genname_helper(command.tag)
elif command is not None and isinstance(command, str):
filename = self.genname_helper(command)
else:
# raise Exception( "must spcify a valid command to generate an appropreate file" )
td = self.get_tmp_dir()
filename = tempnam(td) + self.suffix
return filename
def get_tmp_dir(self):
if self.is_local:
return self.env['slimvars']['localtmpdir']
else:
return self.env['slimvars']['globaltmpdir']
def isempty(self):
"""
check if this data has bee built
"""
local_data = self.get_data('localhost')
if isfile(local_data):
return False
if self.data:
if 'localhost' in self.nodenames:
return not isfile(local_data)
else:
return not len(self.nodenames)
# def getConverter( self , command ):
# '''
# return converter class
#
# command must have attribute 'function'
# '''
# return self.sfFactory[command.tag]
@classmethod
def get_converter(self, command):
if isinstance(command, str):
tag = command
else:
tag = command.tag
return self.sfFactory[tag]
def __str__(self):
"""Adds the current lib's suffix to the end of filename
note: if no lib is set then self.plugin.suffix returns ''
"""
if self.data != None:
return str(self.data)
else:
return "None"
def __repr__(self):
return str(self)
def path(self):
"""
returns the absolute pathname to the file
"""
pathstr = abspath(str(self))
pathstr = dirname(pathstr)
return pathstr
def getName(self):
'returns the name of the data contained'
return self.data
def plot(self, command=None, plotcmd=None):
"""
plot returns the path the the plotfile
"""
if command is None:
if plotcmd is None:
plotcmd = self.SFGREY
command = self.PLOTCMD.substitute(data=self.local_data,
plotcmd=plotcmd,
viewcmd=self.XTPEN)
print >> self.env['record'](1, 'plot'), command
system(command)
return None
def _get_local_data(self):
return self.get_data("localhost")
local_data = property(_get_local_data)
def _get_any_node(self):
if 'localhost' in self.nodenames or not self.nodenames:
node = 'localhost'
else:
node = list(self.nodenames)[0]
return node, self.get_data(node)
def setName(self, newname, path=None):
"""wrapped by SLIMpy.serial_vector.setname"""
newname = str(newname)
if newname.endswith(self.suffix):
newname = newname
else:
newname = newname + self.suffix
if not path:
newname = abspath(newname)
path = dirname(newname)
newname = basename(newname)
if self.isfull():
self.move(newname)
self.updateData(newname)
ninfo = self._node_info.setdefault('localhost', {})
self.add_node_name('localhost')
ninfo['location'] = path
self.tmp(False)
def updateData(self, newname):
'''
@param newname: string to rename data to
@type newname:
'''
self.data = newname
def getHeader(self):
"""
return open header, data must exist
"""
node, data = self._get_any_node()
if node == 'localhost':
return open(data)
else:
cat = Unix_Pipes.CreateComand(['cat'], node_name=node, source=data)
p0 = Popen(cat, shell=True, stdout=__PIPE__)
return p0.stdout
def move(self, newname):
"move data file on disk"
mv = self.MVCMD.substitute(mv=self.SFMV,
From=self.local_data,
To=abspath(newname))
err = system(mv)
if err is not 0:
raise Exception("commmand %(mv)s failed " % vars())
def rm(self):
"""
removes the file on disc
"""
print >> self.env['record'](
10, 'cleaner'), "call to remove %s:" % self.data
print >> self.env['record'](
11, 'cleaner'), "\tistmp=%s , isfull=%s" % (self.istmp(),
self.isfull())
if not self.istmp():
return False
if self.isempty():
return False
err = 0
cmd_log1 = self.env['record'](1, 'cmd')
# print "rm called"
synccmd = self.env['slimvars']['SYNC_CMD']
do_sync = self.env['slimvars']['sync_disk_om_rm']
def sync(synccmd):
sync_command = Unix_Pipes.CreateComand([synccmd], node)
print >> cmd_log1, sync_command
p0 = Popen(sync_command, shell=True, stderr=__PIPE__)
ret = p0.wait()
if ret:
print >> self.env[
'record'], 'error running %(sync_command)s ' % vars()
print >> self.env[
'record'], 'try running SLIMpy with "sync_disk_om_rm=False" ' % vars(
)
for node in self.nodenames.copy():
data = self.get_data(node)
sfrm = self.RMCMD.substitute(rm=self.SFRM, file=data)
rm = self.RMCMD.substitute(rm='rm', file=data)
if do_sync:
sync(synccmd)
command = Unix_Pipes.CreateComand([sfrm], node)
print >> cmd_log1, command
p0 = Popen(command, shell=True, stderr=__PIPE__)
ret = p0.wait()
print >> self.env['record'](2), "finished::", node, 'rm'
if ret:
err += 1
msg = p0.stderr.read()
p0.stderr.close()
print >> self.env[
'record'], 'error %(ret)s on %(command)s: removeing header file:\n%(msg)s' % vars(
)
command = Unix_Pipes.CreateComand([rm], node)
print >> cmd_log1, command
p0 = Popen(command, shell=True, stderr=__PIPE__)
ret = p0.wait()
if ret:
msg = p0.stderr.read()
print >> cmd_log1, "could not 'sfrm' or rm 'data'\n%(msg)s" % vars(
)
else:
self.nodenames.remove(node)
else:
self.nodenames.remove(node)
p0.stderr.close()
return not err
def node_copy(self, node_name):
"""
copy from one node to another
"""
if self.is_global or self.isempty():
return
if node_name in self.nodenames:
return
tmddir = self.env['slimvars']['localtmpdir']
from_cmd = "%s form=xdr" % self.SFDD
to_cmd = "%s form=native" % self.SFDD
from_node = list(self.nodenames)[0]
from_data = self.get_data(from_node)
to_data = self.get_data(node_name)
is_tmp = self.istmp()
to_cmd = Unix_Pipes.CreateComand([to_cmd],
node_name=node_name,
target=to_data,
is_local=[True],
is_tmp=[is_tmp],
ssh_localhost=True)
frm_node = list(self.nodenames)[0]
self.add_node_name(node_name)
cmd = Unix_Pipes.CreateComand([from_cmd, to_cmd],
is_local=[None, None],
is_tmp=[is_tmp, is_tmp],
node_name=frm_node,
source=from_data,
ssh_localhost=False)
print >> self.env['record'](1, 'cmd'), cmd
assert frm_node != node_name, "can not copy from same node to same node"
p0 = Popen(cmd, shell=True, stderr=__PIPE__)
p0.wait()
print >> self.env['record'](2, 'cmd'), "finished:: cp", node_name
if p0.returncode:
out = p0.stderr.read()
raise IOError("copying from node to node retuned error %s\n\n%s" %
(p0.returncode, out))
def available_from(self, nodename):
if nodename in self.nodenames:
return True
elif 'localhost' in self.nodenames:
return True
return False
def readattr(self):
'returns rsf header info as a dict object'
header = self.getHeader()
lines = header.readlines()
header.close()
file_dict = {}
for line in lines:
if '=' in line:
line = line[1:-1]
line = line.split('=')
try:
line[1] = eval(line[1])
except:
pass
file_dict[line[0]] = line[1]
self.BinFile = file_dict.pop('in')
#l = lambda x : (x=='native_int' and int) or (x=='native_float' and float) or (x=='native_double' and long) or (x=='native_complex' and complex)
#file_dict['type'] = l(file_dict['data_format'])
#del file_dict['data_format']
return file_dict
def readbin(self, start=0, len=-1): #IGNORE:W0622
'''
@precondition: data must exist.
@return: a numpy array.
@param start: element in data to start from.
@type start: int
@param: len: lenght of data to read into array
if -1 reads until the end of data.
@type len:int
'''
l = lambda x: ((x == 'native_int' and int32) or
(x == 'native_float' and float32) or
(x == 'native_double' and float64) or
(x == 'native_complex' and complex64))
file_dict = self.readattr()
typeflag = l(file_dict['data_format'])
fd = open(self.BinFile)
fd.seek(start * typeflag().nbytes)
return fromfile(fd, typeflag, len)
def writebin(self, data, start=0, size=0):
"""
write data to file
not tested
"""
header = self.path()
start = start * 4
vector_dict, file_dict = self.readattr(header)
if size == 0:
size = product(vector_dict['dim'])
binfile = file_dict['in']
fd = open(binfile, 'r+')
#a = array.array('f', __numarray.transpose(data[:size]).tolist()[0])
fd.seek(start)
data[:, :size].tofile(fd)
fd.close()
def book(self, header):
'not tested'
header = str(header)
f = open(header)
L = f.read()
return L
def writeattr(self, header, vector_dict, file_dict):
'not tested'
file_dict = dict(file_dict)
if file_dict.has_key('in'):
del file_dict['in']
if file_dict.has_key('data_format'):
del file_dict['data_format']
for i in range(1, len(vector_dict['dim']) + 1):
file_dict['n%s' % i] = vector_dict['dim'][i - 1]
fd = self.readattr(header)
for item in fd.items():
try:
if file_dict[item[0]] == item[1]:
del file_dict[item[0]]
except:
pass
book = ''
for item in file_dict.items():
book += "\t%s=%s\n" % (item[0], item[1])
fd = open(header, 'r+')
fd.seek(0, 2)
fd.write(book)
fd.close()
def write(self, header, data, book):
'not tested'
header = str(header)
fd = open(header, 'w')
fd.write(book)
fd.close()
dict = self.readattr(header)
fd = open(dict['in'], 'w')
fd.close()
self.writebin(header, data)
def get_data(self, nodename):
data = self.data
if self.is_global:
loc = self.get_data_loc('localhost')
else:
loc = self.get_data_loc(nodename)
return join(loc, data)
def get_data_loc(self, nodename):
if nodename == 'localhost':
path = self.env['slimvars']['globaltmpdir']
else:
path = self.env['slimvars']['localtmpdir']
node_info = self._node_info.setdefault(nodename, {})
path = node_info.setdefault('location', path)
return path
def diagnostic(self, nodename=None):
"""
run a check if this data is valid
"""
log = self.env['record'](1, 'cmd', 'err')
log2 = self.env['record'](2, 'diagnostic')
print >> log
print >> log, "Runnind diagnostic on data %s" % self
print >> log
acmd = self.ATTRMD.substitute(attr=self.SFATTR,
file=str(self),
want='all',
lval=2)
if nodename is None:
nodename = list(self.nodenames)
elif isinstance(nodename, str):
nodename = [nodename]
did_run = False
for node in nodename:
did_run = True
attr_command = Unix_Pipes.CreateComand([acmd], node)
print >> log2, attr_command
p0 = Popen(attr_command,
shell=True,
stderr=_STDOUT,
stdout=__PIPE__)
ret = p0.wait()
lines = p0.stdout.read()
print >> log2, lines
if ret:
print >> log, 'Error running Diagnostic on data "%(self)s"' % vars(
)
return False
else:
print >> log, 'File "%(self)s" is OK.' % vars()
return did_run
class sfConverter(Converter):
"""
Base rsf converter class used when specific
command can not be found
@postcondition: tansform returns voidspace
"""
env = InstanceManager()
# slimvars = GlobalVars()
@classmethod
def place_adder(cls, command):
command.adder = rsfAddCommands()
return command
@classmethod
def map(cls, source, command):
cmnd = cls.default_function(command)
return cls.pack(cmnd)
@classmethod
def guess_exe_path(cls, name, error=0):
if name.startswith('sf'):
sfname = name
else:
sfname = "sf" + name
slimvars = cls.env['slimvars']
sfname = join(slimvars['RSFBIN'], sfname)
if is_executable(name):
return abspath(name)
elif is_executable(sfname):
return sfname
elif WhereIs(name):
return WhereIs(name)
elif error:
raise EnvironmentError("No files '%(name1)s' or '%(name2)s'" %
vars())
else:
return name
@classmethod
def default_function(cls, command, name=None):
slimvars = cls.env['slimvars']
if name is None:
name = command.tag
else:
name = str(name)
exe = cls.guess_exe_path(name, error=slimvars['check_path'])
command.func = OutOfCoreDriver(exe)
command.adder = rsfAddCommands()
return command
@classmethod
def mpi_function(cls, command, name=None, num_proc='all'):
slimvars = cls.env['slimvars']
MPICOM = Template(slimvars['MPIFLAGS'])
if name is None:
name1 = command.tag
else:
name1 = name
name2 = join(slimvars['RSFBIN'], 'xsf' + name1)
if isfile(name1):
if isabs(name1):
command_name = name1
else:
command_name = join(".", name1)
else:
command_name = name2
if slimvars['check_path'] and not isfile(command_name):
raise EnvironmentError("No files '%(name1)s' or '%(name2)s'" %
vars())
# assert slimvars['mpi'], "called mpi map while slimpy mpi var is false"
if "$NODEFILE" in slimvars['MPIFLAGS'] and slimvars['NODEFILE'] is None:
raise Exception(
"SLIMpy detected an mpi process to be run needs a nodefile: "
"please set 'NODEFILE' global variable")
mpi_cmd = MPICOM.substitute(**slimvars.slimGlobals)
cmd = "%(mpi_cmd)s %(command_name)s" % vars()
command.func = OutOfCoreDriver(cmd)
command.adder = rsfAddCommands()
command.command_type = 'multi_process'
command.num_proc = num_proc
return command
@classmethod
def constr(cls, command, *Spaces):
return True
class JobPosting(object):
'''
posting class for worker threads to get info about new jobs
Like a message board.
'''
env = InstanceManager()
def __init__(self, name, processor):
self.lock = RLock()
self.event = Event()
self.lock.acquire()
self.name = name
self.processor = processor
self.finished_jobs = set()
self.current = set()
self.todo = set()
self._is_waiting = False
self._first_wait = True
self.start_time = 0
self.stop_time = 0
self.current_rec = None
self.finished_rec = set()
self.lock.release()
def _get_waiting(self):
'true if worker is waiting for a job'
return self._is_waiting
def _set_waiting(self, val):
self._is_waiting = val
waiting = property(_get_waiting, _set_waiting)
def get_time_since_start(self):
'get the time from the start of the job'
if self.current_rec is None:
return 0
else:
return time.time() - self.current_rec.created
time_passed = property(get_time_since_start)
def notify(self):
'notify the listening worker'
self.event.set()
def new_todo(self, job):
'add a job to the message board'
self.lock.acquire()
self.todo.add(job)
self.lock.release()
def get(self):
'get a job from the todo pile'
self.lock.acquire()
job = self.todo.pop()
self.current.add(job)
self.current_rec = JobRecord(job, self.name, self.processor)
self.current_rec.start()
self.env['record'].add_job(self.current_rec)
self.lock.release()
return job
def finished(self, job):
'''
adds current job to the finished pile
'''
self.lock.acquire()
self.current.remove(job)
self.finished_jobs.add(str(job))
rec = self.current_rec
rec.stop()
self.finished_rec.add(rec)
print >> self.env['record'](
10, 'time'), "Command execution time: %0.4f seconds" % (
rec.finished - rec.created)
self.current_rec = None
self.lock.release()
def is_working(self):
'true if the worker is working on a job'
return len(self.current)
def has_todo(self):
'returns the len of the todo pile'
return len(self.todo)
def busy(self):
'true if job is working or has stuff todo'
self.lock.acquire()
ret = self.is_working() or self.has_todo()
self.lock.release()
return ret
def post(self, job):
'post a job to the todo'
self.lock.acquire()
self.todo.add(job)
self.event.set()
self.lock.release()
def start_timer(self):
'starts timer '
self.start_time = time.time()
def stop_timer(self):
'stops timer '
self.stop_time = time.time()
def wait_for_job(self):
"wait for slef.notify to be called"
self.event.wait()
self.event.clear()
return
def acquire(self):
self.lock.acquire()
def release(self):
self.lock.release()
def total_time(self):
"total time between start and stop"
return self.stop_time - self.start_time
def time_idol(self):
'total time spent idle'
tot = self.total_time()
for jobrecord in self.finished_rec:
tot -= jobrecord.total_time()
return tot
class RemoteDriver(object):
"""
used to chain ooc_driver commands together
"""
env = InstanceManager()
_stderr_logfile = "stderr_logfile.log"
def _get_stderr_logfile(self):
return join(self.env['slimvars']['localtmpdir'], self._stderr_logfile)
stderr_logfile = property(_get_stderr_logfile)
def __init__(self):
self.__cmnd = []
self.__Target = None
self.__Source = None
self._node_name = None
return
def get_num_proc(self):
numbers = [com.get_nub_proc() for com in self.getCmnd()]
return max(numbers)
def getCmnd(self):
return self.__cmnd
def get_command_list(self):
return self.__cmnd
def addCommand(self, command):
self.setTarget(None)
return self.__cmnd.append(command)
def is_muti_proc(self):
for cmd in self.get_command_list():
if cmd.command_type == 'multi_process':
return True
return False
def setSource(self, src):
assert not self.getCmnd(
), "command already has attributes to it, cannot add a source"
self.__Source = src
return
def getSource(self):
return self.__Source
def setTarget(self, tgt):
self.__Target = tgt
return
def getTarget(self):
return self.__Target
def get_node_name(self):
return self._node_name
def set_node_name(self, val):
self._node_name = val
for cmd in self.get_command_list():
cmd.node_name = val
source = property(getSource, setSource)
target = property(getTarget, setTarget)
node_name = property(get_node_name, set_node_name)
def get_targets(self):
tgts = set()
if self.target:
tgts.add(self.target)
for com in self.__cmnd:
tgts.update(com._get_target_cont())
return tgts
def make_locals_list(self):
lst = []
push = lst.append
for com in self.get_command_list():
push(None)
for target in com._get_target_cont():
if target.is_global:
lst[-1] = False
break
else:
lst[-1] = True
if lst[-1] is False:
pass # do nothing target is already global
elif self.target:
# set it to the location of the stdout target
is_local = bool(self.node_name != 'localhost')
lst[-1] = is_local
return lst
def make_tmp_list(self):
lst = []
push = lst.append
for com in self.__cmnd:
push(None)
for target in com._get_target_cont():
if target.istmp():
lst[-1] = True
break
else:
lst[-1] = False
if self.target:
lst[-1] = self.target.istmp()
return lst
def get_sources(self):
srcs = set()
if self.source:
srcs.add(self.source)
for com in self.__cmnd:
srcs.update(com._get_source_cont())
return srcs
def __str__(self):
format = [
com.func.format(self.node_name, com.params, com.kparams)
for com in self.getCmnd()
]
command = " | ".join(format)
if self.source:
command = "< %s %s" % (self.source, command)
if self.target:
command = "%s > %s" % (command, self.target)
return command
# return "< %s %s > %s" %( self.getSource(), command , self.getTarget() )
def __call__(self, *params, **kparams):
"""
runs driver with pipe. uses the list of
"""
return self.run()
def run(self):
if self.node_name is None:
raise Exception("job host not set")
log = self.env['record'](5, 'cmd', 'err')
# print >> log
# print >> log, "command failed, running diagnostic"
# print >> log
try:
self._run()
except IOError:
print >> log, "command failed, running diagnostic"
if self.env['slimvars']['run_again']:
if self.diagnose():
print >> log, "All diagnostics passed: running command again"
self._run()
else:
print >> log, "diagnostic failed: raising exception"
raise
else:
raise
return
def diagnose(self):
for source in self.get_sources():
if not source.diagnostic():
return False
return True
def add_node_name_to_targets(self):
if self.target:
if self.target.is_local:
self.target.add_node_name(self.node_name)
else:
self.target.add_node_name('localhost')
for cmd in self.get_command_list():
cmd.add_node_name_to_targets()
return
def copy_sources(self):
"""
recursively copy source nodes if necessary
"""
if self.source and self.source.is_local:
if self.is_muti_proc():
self.source.node_copy('localhost')
else:
self.source.node_copy(self.node_name)
for cmd in self.get_command_list():
cmd.copy_sources()
def _run(self):
center = self.env['center']
self.copy_sources()
center.acquire()
cmd = self.pipe_format()
log = self.env['record']
print >> log(5, 'cmd'), cmd
p3 = Popen(cmd, stderr=__PIPE__, shell=True)
pid = p3.pid
center.add_pid(pid)
# p3.tochild.close()
center.release()
try:
err = p3.wait()
print >> log(5), "finished::", self.node_name
except OSError, e:
if e.errno is 10:
err = p3.returncode
else:
raise
center.acquire()
self.add_node_name_to_targets()
center.remove_pid(pid)
lines = p3.stderr.readlines()
last_line = "".join(lines) #@UnusedVariable
if err:
# last_line = self.get_last_line_of_err_log()
node = self.node_name #@UnusedVariable
center.release()
raise IOError(
err,
"process %(pid)s on node %(node)s, returned %(err)s: \n%(last_line)s\nCommand:%(cmd)s"
% vars())
else:
center.release()
if last_line:
print >> log(5, 'cmd', 'err'), last_line
p3.stderr.close()
return
class PSpace(object):
"""
parameter is a simple tracking method to pass Metadata without
being bound to each specific datatype
methods are similar to a python dict
"""
## @var _space_dict
# @brief dict of information about this space
## @var _plugin
# @brief slimpy_base.api.Plugin represented by this space
## slimpy global variables
env = InstanceManager()
## Constructor, create a space from another space or like a dict object
# @param plugin a string name or a subclass of DataContainer
def __init__(self, plugin, *E, **D):
"""
create a space from another space
"""
if isinstance(plugin, PSpace):
self._space_dict = dict(plugin.params, *E, **D)
self.plugin = plugin.plugin
else:
self._space_dict = dict(*E, **D)
self.plugin = plugin
## Get the plugin represented by this space
def _get_plugin(self):
'Get the plug-in represented by this space'
return self._plugin
def _set_plugin(self, plugin):
from slimpy_base.Core.Interface.ContainerBase import DataContainer
plugin_type = type(plugin)
assert plugin_type == str or issubclass(plugin, DataContainer)
if isinstance(plugin, str):
self._plugin = self.env['keystone'].getplugin(plugin)
else:
self._plugin = plugin
## get and set property for self._plugin
plugin = property(_get_plugin, _set_plugin)
## Make a new container from the current parameters
# @param command may be a string or a slimpy_base.Core.Command.Command.Command
# @tmp if the contaier is a temporary file
def makeContaner(self, command=None, tmp=None):
"""
makeContaner( self, command=None ,tmp=None) -> Container
Make a new container from the current parameters
"""
return self.plugin(parameters=self, command=command, tmp=tmp)
## create a new PSpace updated with new keys
def newParameter(self, *E, **F):
"""
Make a new parameter updated with the new keys, 'keys'
"""
SpaceType = type(self)
x = SpaceType(self.plugin, self, *E, **F)
return x
## update this PSpace with another
def update(self, *E, **F):
"""
update this PSpace with another same as a python dict
"""
for e in E:
if isinstance(e, PSpace):
self._space_dict.update(e.params)
elif e is None:
pass
else:
self._space_dict.update(e)
self._space_dict.update(**F)
return
## number of elements the space represents
def __len__(self):
return self.size
## shallow copy
def copy(self):
"""
returns a shallow copy of self
"""
SpaceType = type(self)
return SpaceType(self.plugin, self._space_dict.copy())
## returns tr
# @return bool
def has_key(self, k):
' D.has_key(k) -> True if D has a key k, else False'
return self._space_dict.has_key(k)
## shape of the underlying image
def _get_shape(self):
"""
Returns a list of the dimensions of the image of the underlying vector
"""
shp = []
N = 1
while self.has_key("n%s" % N):
val = self["n%s" % N]
if val < 1:
raise TypeError(
"shape parameter does not conform to SLIMpy standard:\n"
"Should be an int greater than 0")
shp.append(val)
N += 1
if N is 1:
return ()
i = len(shp) - 1
while i > 0 and shp[i] is 1:
shp.pop(-1)
i -= 1
return shp
## setter for shape of the underlying image
# @param shape is a sequence of integers
def _set_shape(self, shape):
"""
delete all n* keys and replace them with shape
"""
N = 1
nN = "n%s" % N
while self.has_key(nN):
del self[nN]
N += 1
nN = "n%s" % N
for N, val in enumerate(shape):
nN = "n%s" % (N + 1)
self[nN] = val
## returns size of field of scalars
def get_size(self):
mul = lambda x, y: x * y
prod = lambda shape: reduce(mul, shape, 1)
shape = self.shape
for i in shape:
if i == UnknownValue:
return None
if not shape:
return 0
else:
return prod(shape)
## size property
size = property(get_size)
## shape property
shape = property(_get_shape, _set_shape)
def _get_ndim(self):
return len(self.shape)
ndim = property(_get_ndim)
## list of keys
def keys(self):
return self._space_dict.keys()
## pop a key from the dict
# @exception raises a KeyError if k is not a key in self and no default is given
def pop(self, k, *default):
return self._space_dict.pop(k, *default)
def _get_params(self, keep_unknown=False):
if keep_unknown:
params = self._space_dict.copy()
else:
itemset = [(k, v) for (k, v) in self.iteritems()
if v is not UnknownValue]
params = dict(itemset)
return params
params = property(_get_params)
## @see dict
def iteritems(self):
"""
iterates over key value pairs in self
"""
return self._space_dict.iteritems()
## helper for intersection and union
def _space_helper(self, other, error=False):
set_self = set(self.keys())
set_other = set(other.keys())
intersect = set_self.intersection(set_other)
diff_self = set_self.difference(set_other)
diff_other = set_other.difference(set_self)
new = {}
for key in intersect:
v1 = self[key]
v2 = other[key]
if not self.equal_keys(other, key):
if error:
raise ValueError(
"item self[%(key)s] != other[%(key)s] ; %(v1)s != %(v2)s"
)
else:
v1 = UnknownValue
v2 = UnknownValue
if v1 == UnknownValue:
new[key] = v2
else:
new[key] = v1
SpaceType = type(self)
inter_space = SpaceType(self.plugin, new)
dspace_self = SpaceType(self.plugin,
[(key, self[key]) for key in diff_self])
dspace_other = SpaceType(self.plugin,
[(key, other[key]) for key in diff_other])
return inter_space, dspace_self, dspace_other
## intersection of this space and another
def intersection(self, other):
"""
space.intersection( other ) -> Space
returns a Space object that is the Intersection of self and other
contains the restrictions of each space
the shared restrictions in each must be equal:
i.e. if self contains restriction n1=5 and other -> n1=6
intersection method will raise error.
"""
inter_space, dspace_self, dspace_other = self._space_helper(
other, True)
inter_space.update(dspace_self, dspace_other)
return inter_space
def _union(self, other):
"""
space.union( other ) -> Space
returns the union of this space with another
"""
inter_space, dspace_self, dspace_other = self._space_helper(
other, False)
return inter_space
## union of this space with another
def union(self, other, *others):
"""
space.union( other, *others ) -> Space
returns the union of this space with another
that is only the restrictions that are the same in both spaces
"""
next = self._union(other)
for oths in others:
next = next._union(oths)
return next
def __eq__(self, other):
if type(self) != type(other):
return False
test1 = self._space_dict == other._space_dict
test2 = self.plugin == other.plugin
return test1 and test2
## True if self and other both have key k
# @param other PSpace object
# @param accept_unknown if the value at key k for either self or other is an slimpy_base.Core.Interface.PSpace.UnknownValue
# then equal_keys returns accept_unknown
def equal_keys(self, other, k, accept_unknown=True):
"""
space.equal_keys( space2, key, accept_unknown=True ) -> bool
returns true if key is present and equal in both spaces.
If one value is UnknownValue then will return accept_unknown.
"""
if self.has_key(k) and other.has_key(k):
v1 = self[k]
v2 = other[k]
if v1 is UnknownValue or v2 is UnknownValue:
return accept_unknown
else:
return v1 == v2
else:
return False
def itervalues(self):
return self._space_dict.itervalues()
def values(self):
return self._space_dict.values()
def iterkeys(self):
return self._space_dict.iterkeys()
def setdefault(self, k, D=None):
return self._space_dict.setdefault(k, D=D)
def has_unknown(self):
return len([v for v in self.itervalues() if v == UnknownValue])
## true if self is a subspace of other.
def is_subspace(self, other, accept_unknown=True):
"""
space.is_subspace(other) <--> space in other
returns true if self is a subspace of other.
"""
assert isinstance(other, PSpace)
if self.plugin != other.plugin:
return False
key_set = set(self.keys())
key_set_other = set(other.keys())
issubset = key_set_other.issubset(key_set)
if not issubset:
return False
for key in key_set_other:
if not self.equal_keys(other, key, accept_unknown=accept_unknown):
return False
return True
## true if self is a superspace of other.
def is_superspace(self, other, accept_unknown=True):
return not self.is_subspace(other, accept_unknown=accept_unknown)
## true if self is a contains k
# @param k a PSpace a key in self or a vector
def __contains__(self, k):
"""
S.__contains__( k ) <-> k in S
"""
if isinstance(k, PSpace):
return k.is_subspace(self)
elif hasattr(k, 'space') and isinstance(k.space, PSpace):
return k.space.is_subspace(self)
else:
return self._space_dict.__contains__(k)
def __getitem__(self, item):
return self._space_dict[item]
def __delitem__(self, item):
self._space_dict.__delitem__(item)
def get(self, k, default=None):
return self._space_dict.get(k, default)
def __setitem__(self, item, val):
self._space_dict[item] = val
def __repr__(self):
name = self.__class__.__name__
return "%s( %s, %s )" % (name, repr(self.plugin), repr(
self._space_dict))
def __str__(self):
dtype = self.get('data_type', "unknown data type")
size = self.size
name = self.__class__.__name__
return "<%(name)s %(dtype)s:%(size)s>" % vars()
