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|
#!/usr/bin/env python3
##################################################
## DEPENDENCIES
import sys
import os
import os.path
try:
import builtins as builtin
except ImportError:
import __builtin__ as builtin
from os.path import getmtime, exists
import time
import types
from Cheetah.Version import MinCompatibleVersion as RequiredCheetahVersion
from Cheetah.Version import MinCompatibleVersionTuple as RequiredCheetahVersionTuple
from Cheetah.Template import Template
from Cheetah.DummyTransaction import *
from Cheetah.NameMapper import NotFound, valueForName, valueFromSearchList, valueFromFrameOrSearchList
from Cheetah.CacheRegion import CacheRegion
import Cheetah.Filters as Filters
import Cheetah.ErrorCatchers as ErrorCatchers
from Cheetah.compat import unicode
from xpdeint.Features._Diagnostics import _Diagnostics
from xpdeint.Geometry.UniformDimensionRepresentation import UniformDimensionRepresentation
##################################################
## MODULE CONSTANTS
VFFSL=valueFromFrameOrSearchList
VFSL=valueFromSearchList
VFN=valueForName
currentTime=time.time
__CHEETAH_version__ = '3.2.3'
__CHEETAH_versionTuple__ = (3, 2, 3, 'final', 0)
__CHEETAH_genTime__ = 1558054970.3309212
__CHEETAH_genTimestamp__ = 'Fri May 17 11:02:50 2019'
__CHEETAH_src__ = '/home/mattias/xmds-2.2.3/admin/staging/xmds-3.0.0/xpdeint/Features/Diagnostics.tmpl'
__CHEETAH_srcLastModified__ = 'Thu Apr 4 16:29:24 2019'
__CHEETAH_docstring__ = 'Autogenerated by Cheetah: The Python-Powered Template Engine'
if __CHEETAH_versionTuple__ < RequiredCheetahVersionTuple:
raise AssertionError(
'This template was compiled with Cheetah version'
' %s. Templates compiled before version %s must be recompiled.'%(
__CHEETAH_version__, RequiredCheetahVersion))
##################################################
## CLASSES
class Diagnostics(_Diagnostics):
##################################################
## CHEETAH GENERATED METHODS
def __init__(self, *args, **KWs):
super(Diagnostics, self).__init__(*args, **KWs)
if not self._CHEETAH__instanceInitialized:
cheetahKWArgs = {}
allowedKWs = 'searchList namespaces filter filtersLib errorCatcher'.split()
for k,v in KWs.items():
if k in allowedKWs: cheetahKWArgs[k] = v
self._initCheetahInstance(**cheetahKWArgs)
def description(self, **KWS):
## Generated from @def description: Simulation diagnostics at line 28, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
write('''Simulation diagnostics''')
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def timestepErrorBegin(self, dict, **KWS):
## CHEETAH: generated from @def timestepErrorBegin($dict) at line 36, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
#
vector = dict['vector']
#
write('''real _component_errors[_''')
_v = VFFSL(SL,"vector.id",True) # '${vector.id}' on line 40, col 25
if _v is not None: write(_filter(_v, rawExpr='${vector.id}')) # from line 40, col 25.
write('''_ncomponents];
for (long _i0 = 0; _i0 < _''')
_v = VFFSL(SL,"vector.id",True) # '${vector.id}' on line 41, col 27
if _v is not None: write(_filter(_v, rawExpr='${vector.id}')) # from line 41, col 27.
write('''_ncomponents; _i0++)
_component_errors[_i0] = 0.0;
''')
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def timestepErrorEnd(self, dict, **KWS):
## CHEETAH: generated from @def timestepErrorEnd($dict) at line 46, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
#
vector = dict['vector']
integrator = dict['caller']
#
_v = VFFSL(SL,"insertCodeForFeatures",False)('findMax', ['Driver'], {'variable': '_component_errors', 'count': ''.join(['_',str(VFFSL(SL,"vector.id",True)),'_ncomponents'])}) # "${insertCodeForFeatures('findMax', ['Driver'], {'variable': '_component_errors', 'count': c'_${vector.id}_ncomponents'})}" on line 51, col 1
if _v is not None: write(_filter(_v, rawExpr="${insertCodeForFeatures('findMax', ['Driver'], {'variable': '_component_errors', 'count': c'_${vector.id}_ncomponents'})}")) # from line 51, col 1.
write('''if (_error > ''')
_v = VFFSL(SL,"integrator.tolerance",True) # '$integrator.tolerance' on line 52, col 14
if _v is not None: write(_filter(_v, rawExpr='$integrator.tolerance')) # from line 52, col 14.
write(''')
''')
if len(VFFSL(SL,"vector.field.dimensions",True)): # generated from line 53, col 3
write(''' _LOG(_WARNING_LOG_LEVEL, "''')
_v = ', '.join([componentName + '_error: %.1e (cutoff: %.1e)' for componentName in vector.components]) # "${', '.join([componentName + '_error: %.1e (cutoff: %.1e)' for componentName in vector.components])}" on line 54, col 29
if _v is not None: write(_filter(_v, rawExpr="${', '.join([componentName + '_error: %.1e (cutoff: %.1e)' for componentName in vector.components])}")) # from line 54, col 29.
write('''\\n",
''')
_v = ', '.join([''.join(['_component_errors[',str(VFFSL(SL,"componentIndex",True)),'], _cutoff[',str(VFFSL(SL,"componentIndex",True)),']']) for componentIndex in range(len(vector.components))]) # "${', '.join([c'_component_errors[${componentIndex}], _cutoff[${componentIndex}]' for componentIndex in range(len(vector.components))])}" on line 55, col 28
if _v is not None: write(_filter(_v, rawExpr="${', '.join([c'_component_errors[${componentIndex}], _cutoff[${componentIndex}]' for componentIndex in range(len(vector.components))])}")) # from line 55, col 28.
write(''');
''')
else: # generated from line 56, col 3
write(''' _LOG(_WARNING_LOG_LEVEL, "''')
_v = ', '.join([componentName + '_error: %.1e (size: %.1e)' for componentName in vector.components]) # "${', '.join([componentName + '_error: %.1e (size: %.1e)' for componentName in vector.components])}" on line 57, col 29
if _v is not None: write(_filter(_v, rawExpr="${', '.join([componentName + '_error: %.1e (size: %.1e)' for componentName in vector.components])}")) # from line 57, col 29.
write('''\\n",
''')
_v = ', '.join([''.join(['_component_errors[',str(VFFSL(SL,"componentIndex",True)),'], mod(_active_',str(VFFSL(SL,"vector.id",True)),'[',str(VFFSL(SL,"componentIndex",True)),'])']) for componentIndex in range(len(vector.components))]) # "${', '.join([c'_component_errors[${componentIndex}], mod(_active_${vector.id}[${componentIndex}])' for componentIndex in range(len(vector.components))])}" on line 58, col 28
if _v is not None: write(_filter(_v, rawExpr="${', '.join([c'_component_errors[${componentIndex}], mod(_active_${vector.id}[${componentIndex}])' for componentIndex in range(len(vector.components))])}")) # from line 58, col 28.
write(''');
''')
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def updateMaximumError(self, dict, **KWS):
## CHEETAH: generated from @def updateMaximumError($dict) at line 63, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
#
write('''if (_temp_error > _component_errors[_i1])
_component_errors[_i1] = _temp_error;
''')
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def adaptiveStepFailed(self, dict, **KWS):
## CHEETAH: generated from @def adaptiveStepFailed($dict) at line 78, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
#
integrator = dict['caller']
#
write('''if (_error == 2.0*''')
_v = VFFSL(SL,"integrator.tolerance",True) # '${integrator.tolerance}' on line 82, col 19
if _v is not None: write(_filter(_v, rawExpr='${integrator.tolerance}')) # from line 82, col 19.
write(''')
_LOG(_SEGMENT_LOG_LEVEL, "NaN hit on this step. Retrying. (Error set to %e)\\n", 2.0*''')
_v = VFFSL(SL,"integrator.tolerance",True) # '${integrator.tolerance}' on line 83, col 87
if _v is not None: write(_filter(_v, rawExpr='${integrator.tolerance}')) # from line 83, col 87.
write(''');
_LOG(_SEGMENT_LOG_LEVEL, "Step size %e failed, ''')
_v = VFFSL(SL,"integrator.propagationDimension",True) # '${integrator.propagationDimension}' on line 84, col 48
if _v is not None: write(_filter(_v, rawExpr='${integrator.propagationDimension}')) # from line 84, col 48.
write(''' = %e, error = %e\\n", _step, ''')
_v = VFFSL(SL,"integrator.propagationDimension",True) # '${integrator.propagationDimension}' on line 84, col 111
if _v is not None: write(_filter(_v, rawExpr='${integrator.propagationDimension}')) # from line 84, col 111.
write(''', _error);
''')
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def nonlocalAccessValidationFunctionContents(self, dimRepsNeeded, nonlocalAccessString, componentName, func, **KWS):
## CHEETAH: generated from @def nonlocalAccessValidationFunctionContents($dimRepsNeeded, $nonlocalAccessString, $componentName, $func) at line 88, col 1.
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
#
for dimRep in [dimRep for dimRep in dimRepsNeeded if dimRep.type == 'long' and isinstance(dimRep, UniformDimensionRepresentation)]: # generated from line 90, col 3
write('''if (''')
_v = VFFSL(SL,"dimRep.loopIndex",True) # '${dimRep.loopIndex}' on line 91, col 5
if _v is not None: write(_filter(_v, rawExpr='${dimRep.loopIndex}')) # from line 91, col 5.
write(''' < 0 || ''')
_v = VFFSL(SL,"dimRep.loopIndex",True) # '${dimRep.loopIndex}' on line 91, col 32
if _v is not None: write(_filter(_v, rawExpr='${dimRep.loopIndex}')) # from line 91, col 32.
write(''' >= ''')
_v = VFFSL(SL,"dimRep.globalLattice",True) # '${dimRep.globalLattice}' on line 91, col 55
if _v is not None: write(_filter(_v, rawExpr='${dimRep.globalLattice}')) # from line 91, col 55.
write(''') {
_LOG(
_ERROR_LOG_LEVEL,
"Error: Invalid access of dimension ''')
_v = VFFSL(SL,"dimRep.name",True) # '${dimRep.name}' on line 94, col 41
if _v is not None: write(_filter(_v, rawExpr='${dimRep.name}')) # from line 94, col 41.
write(''' in %s on line %i.\\n"
" Value %li is out of range (%li, %li).\\n"
" Error was caused by accessing variable \'''')
_v = VFFSL(SL,"componentName",True) # '${componentName}' on line 96, col 53
if _v is not None: write(_filter(_v, rawExpr='${componentName}')) # from line 96, col 53.
write('''\' nonlocally.\\n",
filename, line_number, ''')
_v = VFFSL(SL,"dimRep.loopIndex",True) # '${dimRep.loopIndex}' on line 97, col 28
if _v is not None: write(_filter(_v, rawExpr='${dimRep.loopIndex}')) # from line 97, col 28.
write(''' + ''')
_v = VFFSL(SL,"dimRep.minimum",True) # '${dimRep.minimum}' on line 97, col 50
if _v is not None: write(_filter(_v, rawExpr='${dimRep.minimum}')) # from line 97, col 50.
write(''', ''')
_v = VFFSL(SL,"dimRep.minimum",True) # '${dimRep.minimum}' on line 97, col 69
if _v is not None: write(_filter(_v, rawExpr='${dimRep.minimum}')) # from line 97, col 69.
write(''', ''')
_v = VFFSL(SL,"dimRep.maximum",True) # '${dimRep.maximum}' on line 97, col 88
if _v is not None: write(_filter(_v, rawExpr='${dimRep.maximum}')) # from line 97, col 88.
write('''
);
}
''')
write('''return ''')
_v = VFFSL(SL,"nonlocalAccessString",True) # '${nonlocalAccessString}' on line 101, col 8
if _v is not None: write(_filter(_v, rawExpr='${nonlocalAccessString}')) # from line 101, col 8.
write(''';
''')
#
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
def writeBody(self, **KWS):
## CHEETAH: main method generated for this template
trans = KWS.get("trans")
if (not trans and not self._CHEETAH__isBuffering and not callable(self.transaction)):
trans = self.transaction # is None unless self.awake() was called
if not trans:
trans = DummyTransaction()
_dummyTrans = True
else: _dummyTrans = False
write = trans.response().write
SL = self._CHEETAH__searchList
_filter = self._CHEETAH__currentFilter
########################################
## START - generated method body
write('''
''')
#
# Diagnostics.tmpl
#
# Created by Graham Dennis on 2008-04-08.
#
# Copyright (c) 2008-2012, Graham Dennis
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 2 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
write('''
''')
# As more gets added to this we are going to want a way of turning parts of this on and off
# The way I think this should be done in the future is to have a _DIAGNOSTIC_LOG function that instead
# of a log level includes a 'log location' string or the like, then the user can pass a list of
# log locations to the diagnostics feature, and those 'log locations' are turned on.
write('''
''')
# @def adaptiveStepSucceeded($dict)
# @#
# @set $integrator = dict['caller']
# @#
# _LOG(_WARNING_LOG_LEVEL, "Step size %e succeeded, ${integrator.propagationDimension} = %e, error = %e\n", _step, ${integrator.propagationDimension}, _error);
# @#
# @end def
write('''
''')
########################################
## END - generated method body
return _dummyTrans and trans.response().getvalue() or ""
##################################################
## CHEETAH GENERATED ATTRIBUTES
_CHEETAH__instanceInitialized = False
_CHEETAH_version = __CHEETAH_version__
_CHEETAH_versionTuple = __CHEETAH_versionTuple__
_CHEETAH_genTime = __CHEETAH_genTime__
_CHEETAH_genTimestamp = __CHEETAH_genTimestamp__
_CHEETAH_src = __CHEETAH_src__
_CHEETAH_srcLastModified = __CHEETAH_srcLastModified__
featureName = 'Diagnostics'
_mainCheetahMethod_for_Diagnostics = 'writeBody'
## END CLASS DEFINITION
if not hasattr(Diagnostics, '_initCheetahAttributes'):
templateAPIClass = getattr(Diagnostics,
'_CHEETAH_templateClass',
Template)
templateAPIClass._addCheetahPlumbingCodeToClass(Diagnostics)
# CHEETAH was developed by Tavis Rudd and Mike Orr
# with code, advice and input from many other volunteers.
# For more information visit https://cheetahtemplate.org/
##################################################
## if run from command line:
if __name__ == '__main__':
from Cheetah.TemplateCmdLineIface import CmdLineIface
CmdLineIface(templateObj=Diagnostics()).run()
|
