def __init__(self, **kwargs):
# Initialize self.Fixed (subset of self.Prognostic which will NOT be time-marched)
if 'Fixed' in kwargs: self.Fixed = kwargs.pop('Fixed')
else: self.Fixed = []
# Initialize I/O
self.Io = IO(self, **kwargs)
# Get values from restart file, if available
if 'RestartFile' in kwargs:
ParamNames = Parameters().value.keys()
FieldNames = self.Required
kwargs = self.Io.readRestart(FieldNames, ParamNames, kwargs)
# Initialize scalar parameters
self.Params = Parameters(**kwargs)
# Frequency with which compute() will be executed
if 'UpdateFreq' in kwargs:
self.UpdateFreq = kwargs.pop('UpdateFreq')
else:
self.UpdateFreq = self.Params['dt']
# Initialize State
self.State = State(self, **kwargs)
self.Grid = self.State.Grid
# Dictionary to hold increments on prognos fields
self.Inc = {}
# Initialize diagnostics
self.compute(ForcedCompute=True)
# Create output file
self.Io.createOutputFile(self.State, self.Params.value)
# Write out initial state
if not self.Io.Appending: self.write()
# Initialize plotting facilities
self.Plot = Plot()
# Initialize runtime monitor
self.Monitor = Monitor(self, **kwargs)
# Notify user of unused input quantities
self._checkUnused(kwargs)
# Set some redundant attributes (mainly for backward compatibility)
self.nlon = self.Grid['nlon']
self.nlat = self.Grid['nlat']
self.nlev = self.Grid['nlev']
try:
self.o3 = self.State['o3']
except:
pass
def __init__(self, **kwargs):
# Initialize self.Fixed (subset of self.Prognostic which will NOT be time-marched)
if 'Fixed' in kwargs: self.Fixed = kwargs.pop('Fixed')
else: self.Fixed = []
# Initialize I/O
self.Io = IO(self, **kwargs)
# Get values from restart file, if available
if 'RestartFile' in kwargs:
ParamNames = Parameters().value.keys()
FieldNames = self.Required
kwargs = self.Io.readRestart(FieldNames, ParamNames, kwargs)
# Initialize scalar parameters
self.Params = Parameters(**kwargs)
# Frequency with which compute() will be executed
if 'UpdateFreq' in kwargs:
self.UpdateFreq = kwargs.pop('UpdateFreq')
else:
self.UpdateFreq = self.Params['dt']
# Initialize State
self.State = State(self, **kwargs)
self.Grid = self.State.Grid
# Dictionary to hold increments on prognos fields
self.Inc = {}
# Initialize diagnostics
self.compute(ForcedCompute=True)
# Create output file
self.Io.createOutputFile(self.State, self.Params.value)
# Write out initial state
if not self.Io.Appending: self.write()
# Initialize plotting facilities
self.Plot = Plot()
# Initialize runtime monitor
self.Monitor = Monitor(self,**kwargs)
# Notify user of unused input quantities
self._checkUnused(kwargs)
# Set some redundant attributes (mainly for backward compatibility)
self.nlon = self.Grid['nlon']
self.nlat = self.Grid['nlat']
self.nlev = self.Grid['nlev']
try: self.o3 = self.State['o3']
except: pass
def __init__(self, **kwargs):
# Initialize self.Fixed (subset of self.Prognostic which will NOT be time-marched)
if 'Fixed' in kwargs: self.Fixed = kwargs.pop('Fixed')
else: self.Fixed = []
# Initialize I/O
self.Io = IO(self, **kwargs)
# Get values from restart file, if available
if 'RestartFile' in kwargs:
ParamNames = Parameters().value.keys()
FieldNames = self.Required
kwargs = self.Io.readRestart(FieldNames, ParamNames, kwargs)
# Initialize scalar parameters
self.Params = Parameters(**kwargs)
# Frequency with which compute() will be executed
if 'UpdateFreq' in kwargs:
self.UpdateFreq = kwargs.pop('UpdateFreq')
else:
self.UpdateFreq = self.Params['dt']
# Check if model can integrate
if 'CanIntegrate' in kwargs:
self.CanIntegrate = kwargs.pop('CanIntegrate')
if (
'Integrates' in kwargs
) and self.CanIntegrate: # this is a list of fields it can integrate
self.Integrates = kwargs.pop('Integrates')
else:
raise IndexError, '\n\n CanIntegrate keyword must be accompanied by \
the Integrates keyword which provides a list of fields that this\
Component accepts for integration.'
else:
self.CanIntegrate = False
# Initialize State
self.State = State(self, **kwargs)
self.Grid = self.State.Grid
if 'grid' in kwargs: kwargs.pop('grid')
# Dictionary to hold increments on prognos fields
# We need three increments for a third order Adams-Bashforth
self.Inc = {}
self.IncOld = {}
self.IncOlder = {}
# Initialize diagnostics
self.compute(ForcedCompute=True)
# Create output file
self.Io.createOutputFile(self.State, self.Params.value)
# Write out initial state
if not self.Io.Appending: self.write()
# Initialize plotting facilities
self.Plot = Plot()
# Initialize runtime monitor
self.Monitor = Monitor(self, **kwargs)
# Notify user of unused input quantities
self._checkUnused(kwargs)
# Set some redundant attributes (mainly for backward compatibility)
self.nlon = self.Grid['nlon']
self.nlat = self.Grid['nlat']
self.nlev = self.Grid['nlev']
try:
self.o3 = self.State['o3']
except:
pass
class Component(object):
"""
Abstract class defininig methods inherited by all CliMT components.
"""
def __init__(self, **kwargs):
# Initialize self.Fixed (subset of self.Prognostic which will NOT be time-marched)
if 'Fixed' in kwargs: self.Fixed = kwargs.pop('Fixed')
else: self.Fixed = []
# Initialize I/O
self.Io = IO(self, **kwargs)
# Get values from restart file, if available
if 'RestartFile' in kwargs:
ParamNames = Parameters().value.keys()
FieldNames = self.Required
kwargs = self.Io.readRestart(FieldNames, ParamNames, kwargs)
# Initialize scalar parameters
self.Params = Parameters(**kwargs)
# Frequency with which compute() will be executed
if 'UpdateFreq' in kwargs:
self.UpdateFreq = kwargs.pop('UpdateFreq')
else:
self.UpdateFreq = self.Params['dt']
# Check if model can integrate
if 'CanIntegrate' in kwargs:
self.CanIntegrate = kwargs.pop('CanIntegrate')
if (
'Integrates' in kwargs
) and self.CanIntegrate: # this is a list of fields it can integrate
self.Integrates = kwargs.pop('Integrates')
else:
raise IndexError, '\n\n CanIntegrate keyword must be accompanied by \
the Integrates keyword which provides a list of fields that this\
Component accepts for integration.'
else:
self.CanIntegrate = False
# Initialize State
self.State = State(self, **kwargs)
self.Grid = self.State.Grid
if 'grid' in kwargs: kwargs.pop('grid')
# Dictionary to hold increments on prognos fields
# We need three increments for a third order Adams-Bashforth
self.Inc = {}
self.IncOld = {}
self.IncOlder = {}
# Initialize diagnostics
self.compute(ForcedCompute=True)
# Create output file
self.Io.createOutputFile(self.State, self.Params.value)
# Write out initial state
if not self.Io.Appending: self.write()
# Initialize plotting facilities
self.Plot = Plot()
# Initialize runtime monitor
self.Monitor = Monitor(self, **kwargs)
# Notify user of unused input quantities
self._checkUnused(kwargs)
# Set some redundant attributes (mainly for backward compatibility)
self.nlon = self.Grid['nlon']
self.nlat = self.Grid['nlat']
self.nlev = self.Grid['nlev']
try:
self.o3 = self.State['o3']
except:
pass
def compute(self, ForcedCompute=False):
"""
Updates component's diagnostics and increments
"""
# If this component can integrate, no need for computing
# increments
if self.CanIntegrate:
return
# See if it's time for an update; if not, skip rest
if not ForcedCompute:
freq = self.UpdateFreq
time = self.State.ElapsedTime
if int(time / freq) == int((time - self['dt']) / freq): return
# Set up union of State, Grid and Params
Input = {}
for dic in [self.State.Now, self.Grid.value, self.Params.value]:
Input.update(dic)
Input['UpdateFreq'] = self.UpdateFreq
# For implicit time stepping, replace current time level with previous (old) time level
if self.SteppingScheme == 'implicit': Input.update(self.State.Old)
# For semimplicit time stepping, append previous (old) time level to Input dict
if self.SteppingScheme == 'semi-implicit':
for key in self.Prognostic:
Input[key + 'old'] = self.State.Old[key]
# List of arguments to be passed to extension
args = [Input[key] for key in self.ToExtension]
# Call extension and build dictionary of outputs
OutputValues = self.driver(*args)
if len(self.FromExtension) == 1:
Output = {self.FromExtension[0]: OutputValues}
else:
Output = dict(zip(self.FromExtension, OutputValues))
# Extract increments from Output
for key in self.Prognostic:
self.Inc[key] = Output.pop(key + 'inc')
# Remove increments of Fixed variables
for key in self.Fixed:
if key in self.Inc: self.Inc.pop(key)
if key in Output: Output.pop(key)
# Update State
self.State.update(Output)
for key in Output:
exec('self.' + key + '=Output[key]')
# No further need for input dictionary
del (Input)
def step(self, RunLength=1, Inc={}):
"""
Advances component one timestep and writes to output file if necessary.
Inc is an externally-specified set of increments added to the internally-computed
increments at each time step.
"""
# If RunLength is integer, interpret as number of time steps
if type(RunLength) is type(1):
NSteps = RunLength
# If RunLength is float, interpret as length of run in seconds
if type(RunLength) is type(1.):
NSteps = int(RunLength / self['dt'])
for i in range(NSteps):
# Add external increments
for key in Inc.keys():
if key in self.Inc.keys():
self.Inc[key] += Inc[key]
else:
self.Inc[key] = Inc[key]
# If the component already has the capability to integrate,
# no need to call the integrator in State.advance
if self.CanIntegrate:
Input = []
InputTend = []
for key in self.Integrates:
if key in self.State.Now:
Input.append(self.State.Now[key].copy())
else:
raise IndexError, '\n\n Required field ' + key + ' not present in State for integration'
temp = zeros(self.State.Now[key].shape)
if key in self.Inc:
temp = self.Inc.pop(key)
InputTend.append(temp)
OutputValues = self.integrate(Input, InputTend)
if len(self.FromExtension) == 1:
Output = {self.FromExtension[0]: OutputValues}
else:
Output = dict(zip(self.FromExtension, OutputValues))
for key in self.FromExtension:
self.State.Now[key] = Output[key]
# Avance prognostics 1 time step
self.State.advance(self)
# Bring diagnostics and increments up to date
self.compute()
# Bring calendar up to date
self['calday'] += self['dt'] / self['lod']
if self['calday'] > self['daysperyear']:
self['calday'] -= self['daysperyear']
# Write to file, if it's time to
dt = self.Params['dt']
time = self.State.ElapsedTime
freq = self.Io.OutputFreq
if int(time / freq) != int((time - dt) / freq):
self.write()
# Refresh monitor, if it's time to
if self.Monitor.Monitoring:
freq = self.Monitor.MonitorFreq
if int(time / freq) != int((time - dt) / freq):
self.Monitor.refresh(self)
def __call__(self, **kwargs):
"""
# Provides a simple interface to extension, useful e.g. for diagnostics.
"""
# Re-initialize parameters, grid and state
self.Params = Parameters(**kwargs)
self.State = State(self, **kwargs)
self.Grid = self.State.Grid
# Bring diagnostics up to date
self.compute()
def write(self):
"""
Invokes write method of IO instance to write out current State
"""
self.Io.writeOutput(self.Params, self.State)
def open(self, OutputFileName='CliMT.nc'):
"""
"""
if self.Io.OutputFileName == OutputFileName:
print '\n +++ ClimT.Io: File %s is currently open for output' % OutputFileName
return
else:
print 'Opening %s for output' % OutputFileName
self.Io.OutputFileName = OutputFileName
self.Io.DoingOutput = True
self.Io.Appending = False
self.Io.OutputTimeIndex = 0
self.Io.createOutputFile(self.State, self.Params)
def plot(self, *FieldKeys):
self.Plot(self, *FieldKeys)
def setFigure(self, FigureNumber=None):
self.Plot.setFigure(FigureNumber)
def closeFigure(self, FigureNumber=None):
self.Plot.closeFigure(FigureNumber)
def usage(self):
print self.__doc__
def report(self):
print 'CliMT component:\n %s' % self.Name
keys = self.State.keys()
keys1 = []
for i in range(len(keys)):
if keys[i] in self.Prognostic:
keys1.append('%12s %s' % (keys[i], '(prognostic)'))
for i in range(len(keys)):
if keys[i] in self.Diagnostic:
keys1.append('%12s %s' % (keys[i], '(diagnostic)'))
for i in range(len(keys)):
if keys[i] not in self.Prognostic and keys[
i] not in self.Diagnostic:
keys1.append('%12s %s' % (keys[i], '(Fixed)'))
print 'State variables:\n %s' % '\n '.join(keys1)
def _checkUnused(self, kwargs):
'''
Notify of unused input quantities.
'''
unused = []
io_keys = [
'RestartFile', 'OutputFile', 'OutputFreq', 'OutputFields',
'ElapsedTime'
]
monitor_keys = ['MonitorFields', 'MonitorFreq']
for key in kwargs:
if key not in self.Params \
and key not in self.Grid \
and key not in KnownFields \
and key not in io_keys \
and key not in monitor_keys:
unused.append(key)
if len(unused) > 0:
if len(unused) == 1: suffix = 'y'
else: suffix = 'ies'
print '\n ++++ CliMT.'+self.Name+'.initialize: WARNING: Input quantit%s %s not used.\n' \
% (suffix,str(list(unused)))
def _getShape3D(self, **kwargs):
'''
Returns shape of 3D arrays to be passed to extension.
'''
return (self._getAxisLength('lon', **kwargs),
self._getAxisLength('lat', **kwargs),
self._getAxisLength('lev', **kwargs))
def getGrid(self):
'''
Returns Grid shape for external purposes, after init
'''
return self.Grid
def _getAxisLength(self, AxisName, **kwargs):
'''
Returns length of axis.
'''
# Check input
assert AxisName in ['lev','lat','lon'], \
'\n\n ++++ CliMT.%s: Axis name must be one of "lon", "lat", "lev"' % self.Name
# See if axis was supplied in input
n = None
if AxisName in kwargs:
if array(kwargs[AxisName]).ndim == 0:
n = 1
else:
assert array(kwargs[AxisName]).ndim == 1, \
'\n\n ++++ CliMT.%s.init: input %s must be rank 1' % (self.Name,AxisName)
n = len(array(kwargs[AxisName]))
# If not, see if some field was supplied
else:
for key in kwargs:
if key in KnownFields:
if KnownFields[key][2] == '2D' and AxisName != 'lev':
i = ['lon', 'lat'].index(AxisName)
try:
n = array(kwargs[key]).shape[i]
except:
n = 1
elif KnownFields[key][2] == '3D':
i = ['lon', 'lat', 'lev'].index(AxisName)
try:
n = array(kwargs[key]).shape[i]
except:
n = 1
# Last resort: get dimensions set in Makefile
if n is None: exec('n = get_n%s()' % AxisName)
# Check if extension enforces axis dimension, ensure consistency
try:
exec('n_ext = self.Extension.get_n%s()' % AxisName)
except:
n_ext = n
assert n_ext == n, \
'\n\n ++++ CliMT.%s.init: input %s has dimension %i but extension requires %i'% \
(self.Name, AxisName, n, n_ext)
return n
# Returns requested quantity from Params, Grid or State
def __getitem__(self, key):
for obj in [self.Params, self.Grid, self.State]:
if key in obj:
if isinstance(obj[key], basestring): return obj[key]
else: return squeeze(obj[key]).copy(order='F')
raise IndexError, '\n\n CliMT.State: %s not in Params, Grid or State' % str(
key)
# Sets requested quantity in Params, Grid or State
def __setitem__(self, key, value):
if key in self.Params:
self.Params[key] = value
return
if key in self.Grid:
self.Grid[key] = value
return
elif key in self.State and KnownFields[key][2] == '2D':
self.State[key] = reshape(value, self.Grid.Shape3D[1:3])
return
elif key in self.State and KnownFields[key][2] == '3D':
self.State[key] = reshape(value, self.Grid.Shape3D)
return
else:
raise IndexError, '\n\n CliMT.State: %s not in Params, Grid or State' % str(
key)
class Component:
"""
Abstract class defining methods inherited by all CliMT components.
"""
def __init__(self, **kwargs):
# Initialize self.Fixed (subset of self.Prognostic which will NOT be time-marched)
if 'Fixed' in kwargs: self.Fixed = kwargs.pop('Fixed')
else: self.Fixed = []
# Initialize I/O
self.Io = IO(self, **kwargs)
# Get values from restart file, if available
if 'RestartFile' in kwargs:
ParamNames = Parameters().value.keys()
FieldNames = self.Required
kwargs = self.Io.readRestart(FieldNames, ParamNames, kwargs)
# Initialize scalar parameters
self.Params = Parameters(**kwargs)
# Frequency with which compute() will be executed
if 'UpdateFreq' in kwargs:
self.UpdateFreq = kwargs.pop('UpdateFreq')
else:
self.UpdateFreq = self.Params['dt']
# Initialize State
self.State = State(self, **kwargs)
self.Grid = self.State.Grid
# Dictionary to hold increments on prognos fields
self.Inc = {}
# Initialize diagnostics
self.compute(ForcedCompute=True)
# Create output file
self.Io.createOutputFile(self.State, self.Params.value)
# Write out initial state
if not self.Io.Appending: self.write()
# Initialize plotting facilities
self.Plot = Plot()
# Initialize runtime monitor
self.Monitor = Monitor(self,**kwargs)
# Notify user of unused input quantities
self._checkUnused(kwargs)
# Set some redundant attributes (mainly for backward compatibility)
self.nlon = self.Grid['nlon']
self.nlat = self.Grid['nlat']
self.nlev = self.Grid['nlev']
try: self.o3 = self.State['o3']
except: pass
def compute(self, ForcedCompute=False):
"""
Updates component's diagnostics and increments
"""
# See if it's time for an update; if not, skip rest
if not ForcedCompute:
freq = self.UpdateFreq
time = self.State.ElapsedTime
if int(time/freq) == int((time-self['dt'])/freq): return
# Set up union of State, Grid and Params
Input = {}
for dic in [self.State.Now, self.Grid.value, self.Params.value]: Input.update(dic)
Input['UpdateFreq'] = self.UpdateFreq
# For implicit time stepping, replace current time level with previous (old) time level
if self.SteppingScheme == 'implicit': Input.update(self.State.Old)
# For semimplicit time stepping, append previous (old) time level to Input dict
if self.SteppingScheme == 'semi-implicit':
for key in self.Prognostic: Input[key+'old'] = self.State.Old[key]
# List of arguments to be passed to extension
args = [ Input[key] for key in self.ToExtension ]
# Call extension and build dictionary of ouputs
OutputValues = self.driver(*args)
if len(self.FromExtension) == 1: Output = {self.FromExtension[0]: OutputValues}
else: Output = dict( zip(self.FromExtension, OutputValues ) )
# Extract increments from Output
for key in self.Prognostic:
self.Inc[key] = Output.pop(key+'inc')
# Remove increments of Fixed variables
for key in self.Fixed:
if key in self.Inc: self.Inc.pop(key)
if key in Output: Output.pop(key)
# Update State
self.State.update(Output)
for key in Output: exec('self.'+key+'=Output[key]')
# No further need for input dictionary
del(Input)
def step(self, RunLength=1, Inc={}):
"""
Advances component one timestep and writes to output file if necessary.
Inc is an externally-specified set of increments added to the internally-computed
increments at each time step.
"""
# If RunLength is integer, interpret as number of time steps
if type(RunLength) is type(1):
NSteps = RunLength
# If RunLength is float, interpret as length of run in seconds
if type(RunLength) is type(1.):
NSteps = int(RunLength/self['dt'])
for i in range(NSteps):
# Add external increments
for key in Inc.keys():
if key in self.Inc.keys():
self.Inc[key] += Inc[key]
else:
self.Inc[key] = Inc[key]
# Avance prognostics 1 time step
self.State.advance(self)
# Bring diagnostics and increments up to date
self.compute()
# Bring calendar up to date
self['calday'] += self['dt']/self['lod']
if self['calday'] > self['daysperyear']:
self['calday'] -= self['daysperyear']
# Write to file, if it's time to
dt = self.Params['dt']
time = self.State.ElapsedTime
freq = self.Io.OutputFreq
if int(time/freq) != int((time-dt)/freq): self.write()
# Refresh monitor, if it's time to
if self.Monitor.Monitoring:
freq = self.Monitor.MonitorFreq
if int(time/freq) != int((time-dt)/freq): self.Monitor.refresh(self)
def __call__(self,**kwargs):
"""
# Provides a simple interface to extension, useful e.g. for diagnostics.
"""
# Re-initialize parameters, grid and state
self.Params = Parameters(**kwargs)
self.State = State(self, **kwargs)
self.Grid = self.State.Grid
# Bring diagnostics up to date
self.compute()
def write(self):
"""
Invokes write method of IO instance to write out current State
"""
self.Io.writeOutput(self.Params, self.State)
def open(self, OutputFileName='CliMT.nc'):
"""
"""
if self.Io.OutputFileName == OutputFileName:
print '\n +++ ClimT.Io: File %s is currently open for output'% OutputFileName
return
else:
print 'Opening %s for output'% OutputFileName
self.Io.OutputFileName = OutputFileName
self.Io.DoingOutput = True
self.Io.Appending = False
self.Io.OutputTimeIndex = 0
self.Io.createOutputFile(self.State, self.Params)
def plot(self, *FieldKeys):
self.Plot(self, *FieldKeys)
def setFigure(self, FigureNumber=None):
self.Plot.setFigure(FigureNumber)
def closeFigure(self, FigureNumber=None):
self.Plot.closeFigure(FigureNumber)
def usage(self):
print self.__doc__
def report(self):
print 'CliMT component:\n %s' % self.Name
keys = self.State.keys()
keys1 = []
for i in range(len(keys)):
if keys[i] in self.Prognostic: keys1.append('%12s %s' % (keys[i],'(prognostic)'))
for i in range(len(keys)):
if keys[i] in self.Diagnostic: keys1.append('%12s %s' % (keys[i],'(diagnostic)'))
for i in range(len(keys)):
if keys[i] not in self.Prognostic and keys[i] not in self.Diagnostic:
keys1.append('%12s %s' % (keys[i],'(Fixed)'))
print 'State variables:\n %s' % '\n '.join( keys1 )
def _checkUnused(self,kwargs):
'''
Notify of unused input quantities.
'''
unused = []
io_keys = ['RestartFile','OutputFile','OutputFreq','OutputFields','ElapsedTime']
monitor_keys = ['MonitorFields','MonitorFreq']
for key in kwargs:
if key not in self.Params \
and key not in self.Grid \
and key not in KnownFields \
and key not in io_keys \
and key not in monitor_keys:
unused.append(key)
if len(unused) > 0:
if len(unused) == 1: suffix = 'y'
else : suffix = 'ies'
print '\n ++++ CliMT.'+self.Name+'.initialize: WARNING: Input quantit%s %s not used.\n' \
% (suffix,str(list(unused)))
def _getShape3D(self, **kwargs):
'''
Returns shape of 3D arrays to be passed to extension.
'''
return (self._getAxisLength('lev', **kwargs),
self._getAxisLength('lat', **kwargs),
self._getAxisLength('lon', **kwargs))
def _getAxisLength(self, AxisName, **kwargs):
'''
Returns length of axis.
'''
# Check input
assert AxisName in ['lev','lat','lon'], \
'\n\n ++++ CliMT.%s: Axis name must be one of "lon", "lat", "lev"' % self.Name
# See if axis was supplied in input
n = None
if AxisName in kwargs:
if ndim(array(kwargs[AxisName])) == 0:
n = 1
else:
assert ndim(array(kwargs[AxisName])) == 1, \
'\n\n ++++ CliMT.%s.init: input %s must be rank 1' % (self.Name,AxisName)
n = len(array(kwargs[AxisName]))
# If not, see if some field was supplied
else:
for key in kwargs:
if key in KnownFields:
if KnownFields[key][2] == '2D' and AxisName != 'lev':
i = ['lat','lon'].index(AxisName)
try: n = array(kwargs[key]).shape[i]
except: n = 1
elif KnownFields[key][2] == '3D':
i = ['lev','lat','lon'].index(AxisName)
try: n = array(kwargs[key]).shape[i]
except: n = 1
# Last resort: get dimensions set in Makefile
if n is None: exec('n = get_n%s()' % AxisName)
# Check if extension enforces axis dimension, ensure consistency
try:
exec('n_ext = self.Extension.get_n%s()' % AxisName)
except:
n_ext = n
assert n_ext == n, \
'\n\n ++++ CliMT.%s.init: input %s has dimension %i but extension requires %i'% \
(self.Name, AxisName, n, n_ext)
return n
# Returns requested quantity from Params, Grid or State
def __getitem__(self, key):
for obj in [self.Params, self.Grid, self.State]:
if key in obj:
if type(obj[key]) is type('string'): return obj[key]
else: return squeeze(obj[key])
raise IndexError,'\n\n CliMT.State: %s not in Params, Grid or State' % str(key)
# Sets requested quantity in Params, Grid or State
def __setitem__(self, key, value):
if key in self.Params:
self.Params[key] = value
return
if key in self.Grid:
self.Grid[key] = value
return
elif key in self.State and KnownFields[key][2] == '2D':
self.State[key]=reshape(value,self.Grid.Shape3D[1:3])
return
elif key in self.State and KnownFields[key][2] == '3D':
self.State[key]=reshape(value,self.Grid.Shape3D)
return
else: raise IndexError,'\n\n CliMT.State: %s not in Params, Grid or State' % str(key)
def __init__(self, *components, **kwargs):
"""
"""
# Check input components
if len(components) < 2:
raise \
'\n\n +++ CliMT.federation: you must give me more than 1 component to federate!\n\n'
else:
for component in components:
assert isinstance(component, Component), \
'\n\n +++CliMT.federation: Input item %s is not an instance.\n\n' % str(component)
# Re-order components: diagnostic, semi-implicit, explicit, implicit
components = list(components)
"""
for i in range(len(components)):
if len(components[i].Prognostic) > 0:
components.append(components.pop(i))
for scheme in ['semi-implicit', 'explicit', 'implicit']:
for i in range(len(components)):
if components[i].SteppingScheme == scheme:
components.append(components.pop(i))
"""
self.components = components
# Federation's Required is union of all components' Required;
# same for Prognostic and Diagnostic
self.Required = []
self.Prognostic = []
self.Diagnostic = []
for component in components:
self.Required = list(set(self.Required).union(component.Required))
self.Prognostic = list(
set(self.Prognostic).union(component.Prognostic))
self.Diagnostic = list(
set(self.Diagnostic).union(component.Diagnostic))
#Check if any components carry an integrator
self.Integrators = []
self.Integrates = []
self.FromExtension = []
self.CanIntegrate = False
for component in components:
if component.CanIntegrate:
self.CanIntegrate = component.CanIntegrate
common_fields = set(component.Integrates).intersection(
self.Integrates)
if common_fields:
# Two components are trying to integrate the same field.
# don't allow
raise IndexError, "\n\n Two components are trying to integrate the fields ",\
common_fields
for field in component.Integrates:
self.Integrates.append(field)
for field in component.FromExtension:
self.FromExtension.append(field)
self.Integrators.append(component)
print component.Name, ' can integrate ', component.Integrates
if self.CanIntegrate:
print 'All fields integrated by federation members: ', self.Integrates
print 'All fields returned by federation members: ', self.FromExtension
# Other attributes
self.Name = 'federation'
self.Extension = None
# Set LevType to None if all components are None, else p
self.LevType = None
for component in components:
if component.LevType == 'p': self.LevType = 'p'
# Initialize self.Fixed (subset of self.Prognostic which will NOT be time-marched)
if 'Fixed' in kwargs: self.Fixed = kwargs.pop('Fixed')
else: self.Fixed = []
# Instantiate I/O
self.Io = IO(self, **kwargs)
# Get values from restart file, if available
if 'RestartFile' in kwargs:
ParamNames = Parameters().value.keys()
FieldNames = self.Required
kwargs = self.Io.readRestart(FieldNames, ParamNames, kwargs)
# Initialize scalar parameters
self.Params = Parameters(**kwargs)
# Initialize State
self.State = State(self, **kwargs)
self.Grid = self.State.Grid
if 'grid' in kwargs:
self.Grid = kwargs.pop('grid')
# Set some redundant attributes (mainly for backward compatibility)
self.nlon = self.Grid['nlon']
self.nlat = self.Grid['nlat']
self.nlev = self.Grid['nlev']
try:
self.o3 = self.State['o3']
except:
pass
self.componentGrids = []
# Check if components enforce axis dimensions, ensure consistency
for component in self.components:
if component.Grid not in self.componentGrids:
self.componentGrids.append(component.Grid)
for AxisName in ['lev', 'lat', 'lon']:
exec('n_fed = self.n%s' % AxisName)
try:
exec('n_com = component.Extension.get_n%s()' % AxisName)
except:
n_com = n_fed
assert n_com == n_fed, \
'\n\n ++++ CliMT.federation.init: recompile with %i %ss to run this federation\n'\
% (n_fed,AxisName)
# Dictionary to hold increments on prognos fields
# We need three increments for a third order Adams-Bashforth
self.Inc = {}
self.IncOld = {}
self.IncOlder = {}
# Adjust components' attributes
for component in self.components:
component.Monitoring = False
component.Io.OutputFreq = self.Io.OutputFreq
component.Fixed.extend(self.Fixed)
if component.UpdateFreq == component['dt']:
component.UpdateFreq = self['dt']
component.Params = self.Params
component.Grid = self.State.Grid
component.State = self.State
component.Inc = {}
# insolation component gets special treatment because
# of need to set orb params in common block (yes, this is ugly)
try:
component.setOrbParams(**kwargs)
except:
pass
self.compute(ForcedCompute=True)
# Create output file
self.Io.createOutputFile(self.State, self.Params.value)
# Write out initial state
if not self.Io.Appending: self.write()
# Initialize plotting facilities
self.Plot = Plot()
# Initialize runtime monitor
self.Monitor = Monitor(self, **kwargs)
# Notify user of unused input quantities
self._checkUnused(kwargs)