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def save_controls(self, parameterstep: 'timetools.PeriodConstrArg' = None, simulationstep: 'timetools.PeriodConstrArg' = None, auxfiler: 'Optional[auxfiletools.Au... |
if auxfiler:
auxfiler.save(parameterstep, simulationstep)
for element in printtools.progressbar(self):
element.model.parameters.save_controls(
parameterstep=parameterstep,
simulationstep=simulationstep,
auxfiler=auxfiler) |
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def load_conditions(self) -> None: """Save the initial conditions of the |Model| object handled by each |Element| object.""" |
for element in printtools.progressbar(self):
element.model.sequences.load_conditions() |
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def save_conditions(self) -> None: """Save the calculated conditions of the |Model| object handled by each |Element| object.""" |
for element in printtools.progressbar(self):
element.model.sequences.save_conditions() |
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def conditions(self) -> \ Dict[str, Dict[str, Dict[str, Union[float, numpy.ndarray]]]]: """A nested dictionary containing the values of all |ConditionSequence| ob... |
return {element.name: element.model.sequences.conditions
for element in self} |
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def prepare_allseries(self, ramflag: bool = True) -> None: """Call method |Element.prepare_allseries| of all handled |Element| objects.""" |
for element in printtools.progressbar(self):
element.prepare_allseries(ramflag) |
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def prepare_inputseries(self, ramflag: bool = True) -> None: """Call method |Element.prepare_inputseries| of all handled |Element| objects.""" |
for element in printtools.progressbar(self):
element.prepare_inputseries(ramflag) |
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def prepare_fluxseries(self, ramflag: bool = True) -> None: """Call method |Element.prepare_fluxseries| of all handled |Element| objects.""" |
for element in printtools.progressbar(self):
element.prepare_fluxseries(ramflag) |
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def prepare_stateseries(self, ramflag: bool = True) -> None: """Call method |Element.prepare_stateseries| of all handled |Element| objects.""" |
for element in printtools.progressbar(self):
element.prepare_stateseries(ramflag) |
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def extract_new(cls) -> DevicesTypeUnbound: """Gather all "new" |Node| or |Element| objects. See the main documentation on module |devicetools| for further inform... |
devices = cls.get_handlerclass()(*_selection[cls])
_selection[cls].clear()
return devices |
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def get_double(self, group: str) -> pointerutils.Double: """Return the |Double| object appropriate for the given |Element| input or output group and the actual |N... |
if group in ('inlets', 'receivers'):
if self.deploymode != 'obs':
return self.sequences.fastaccess.sim
return self.sequences.fastaccess.obs
if group in ('outlets', 'senders'):
if self.deploymode != 'oldsim':
return self.sequences.fasta... |
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def plot_simseries(self, **kwargs: Any) -> None: """Plot the |IOSequence.series| of the |Sim| sequence object. See method |Node.plot_allseries| for further inform... |
self.__plot_series([self.sequences.sim], kwargs) |
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def plot_obsseries(self, **kwargs: Any) -> None: """Plot the |IOSequence.series| of the |Obs| sequence object. See method |Node.plot_allseries| for further inform... |
self.__plot_series([self.sequences.obs], kwargs) |
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def model(self) -> 'modeltools.Model': """The |Model| object handled by the actual |Element| object. Directly after their initialisation, elements do not know whi... |
model = vars(self).get('model')
if model:
return model
raise AttributeError(
f'The model object of element `{self.name}` has '
f'been requested but not been prepared so far.') |
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def variables(self) -> Set[str]: """A set of all different |Node.variable| values of the |Node| objects directly connected to the actual |Element| object. Suppose... |
variables: Set[str] = set()
for connection in self.__connections:
variables.update(connection.variables)
return variables |
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def prepare_allseries(self, ramflag: bool = True) -> None: """Prepare the |IOSequence.series| objects of all `input`, `flux` and `state` sequences of the model ha... |
self.prepare_inputseries(ramflag)
self.prepare_fluxseries(ramflag)
self.prepare_stateseries(ramflag) |
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def plot_fluxseries( self, names: Optional[Iterable[str]] = None, average: bool = False, **kwargs: Any) \ -> None: """Plot the `flux` series of the handled model.... |
self.__plot(self.model.sequences.fluxes, names, average, kwargs) |
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def plot_stateseries( self, names: Optional[Iterable[str]] = None, average: bool = False, **kwargs: Any) \ -> None: """Plot the `state` series of the handled mode... |
self.__plot(self.model.sequences.states, names, average, kwargs) |
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def _init_methods(self):
"""Convert all pure Python calculation functions of the model class to methods and assign them to the model instance. """ |
for name_group in self._METHOD_GROUPS:
functions = getattr(self, name_group, ())
uniques = {}
for func in functions:
name_func = func.__name__
method = types.MethodType(func, self)
setattr(self, name_func, method)
... |
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def name(self):
"""Name of the model type. For base models, |Model.name| corresponds to the package name: 'hland' For application models, |Model.name| correspond... |
name = self.__name
if name:
return name
subs = self.__module__.split('.')
if len(subs) == 2:
type(self).__name = subs[1]
else:
type(self).__name = subs[2]
return self.__name |
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def connect(self):
"""Connect the link sequences of the actual model.""" |
try:
for group in ('inlets', 'receivers', 'outlets', 'senders'):
self._connect_subgroup(group)
except BaseException:
objecttools.augment_excmessage(
'While trying to build the node connection of the `%s` '
'sequences of the model h... |
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def calculate_single_terms(self):
"""Apply all methods stored in the hidden attribute `PART_ODE_METHODS`. q(0.25) """ |
self.numvars.nmb_calls = self.numvars.nmb_calls+1
for method in self.PART_ODE_METHODS:
method(self) |
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def get_sum_fluxes(self):
"""Get the sum of the fluxes calculated so far. q(1.0) """ |
fluxes = self.sequences.fluxes
for flux in fluxes.numerics:
flux(getattr(fluxes.fastaccess, '_%s_sum' % flux.name)) |
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def integrate_fluxes(self):
"""Perform a dot multiplication between the fluxes and the A coefficients associated with the different stages of the actual method. ... |
fluxes = self.sequences.fluxes
for flux in fluxes.numerics:
points = getattr(fluxes.fastaccess, '_%s_points' % flux.name)
coefs = self.numconsts.a_coefs[self.numvars.idx_method-1,
self.numvars.idx_stage,
... |
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def reset_sum_fluxes(self):
"""Set the sum of the fluxes calculated so far to zero. 0.0 """ |
fluxes = self.sequences.fluxes
for flux in fluxes.numerics:
if flux.NDIM == 0:
setattr(fluxes.fastaccess, '_%s_sum' % flux.name, 0.)
else:
getattr(fluxes.fastaccess, '_%s_sum' % flux.name)[:] = 0. |
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def addup_fluxes(self):
"""Add up the sum of the fluxes calculated so far. 3.0 """ |
fluxes = self.sequences.fluxes
for flux in fluxes.numerics:
sum_ = getattr(fluxes.fastaccess, '_%s_sum' % flux.name)
sum_ += flux
if flux.NDIM == 0:
setattr(fluxes.fastaccess, '_%s_sum' % flux.name, sum_) |
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def calculate_error(self):
"""Estimate the numerical error based on the fluxes calculated by the current and the last method. 1.0 """ |
self.numvars.error = 0.
fluxes = self.sequences.fluxes
for flux in fluxes.numerics:
results = getattr(fluxes.fastaccess, '_%s_results' % flux.name)
diff = (results[self.numvars.idx_method] -
results[self.numvars.idx_method-1])
self.numvars... |
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def extrapolate_error(self):
"""Estimate the numerical error to be expected when applying all methods available based on the results of the current and the last ... |
if self.numvars.idx_method > 2:
self.numvars.extrapolated_error = modelutils.exp(
modelutils.log(self.numvars.error) +
(modelutils.log(self.numvars.error) -
modelutils.log(self.numvars.last_error)) *
(self.numconsts.nmb_methods-self.n... |
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def run_simulation(projectname: str, xmlfile: str):
"""Perform a HydPy workflow in agreement with the given XML configuration file available in the directory of ... |
write = commandtools.print_textandtime
hydpy.pub.options.printprogress = False
write(f'Start HydPy project `{projectname}`')
hp = hydpytools.HydPy(projectname)
write(f'Read configuration file `{xmlfile}`')
interface = XMLInterface(xmlfile)
write('Interpret the defined options')
interfac... |
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def validate_xml(self) -> None: """Raise an error if the actual XML does not agree with one of the available schema files. # ToDo: should it be accompanied by a s... |
try:
filenames = ('HydPyConfigSingleRun.xsd',
'HydPyConfigMultipleRuns.xsd')
for name in filenames:
if name in self.root.tag:
schemafile = name
break
else:
raise RuntimeError(
... |
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def update_options(self) -> None: """Update the |Options| object available in module |pub| with the values defined in the `options` XML element. Options( autocomp... |
options = hydpy.pub.options
for option in self.find('options'):
value = option.text
if value in ('true', 'false'):
value = value == 'true'
setattr(options, strip(option.tag), value)
options.printprogress = False
options.printincolor = ... |
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def update_timegrids(self) -> None: """Update the |Timegrids| object available in module |pub| with the values defined in the `timegrid` XML element. Usually, one... |
timegrid_xml = self.find('timegrid')
try:
timegrid = timetools.Timegrid(
*(timegrid_xml[idx].text for idx in range(3)))
hydpy.pub.timegrids = timetools.Timegrids(timegrid)
except IndexError:
seriesfile = find(timegrid_xml, 'seriesfile').text
... |
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def elements(self) -> Iterator[devicetools.Element]: """Yield all |Element| objects returned by |XMLInterface.selections| and |XMLInterface.devices| without dupli... |
selections = copy.copy(self.selections)
selections += self.devices
elements = set()
for selection in selections:
for element in selection.elements:
if element not in elements:
elements.add(element)
yield element |
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def fullselection(self) -> selectiontools.Selection: """A |Selection| object containing all |Element| and |Node| objects defined by |XMLInterface.selections| and ... |
fullselection = selectiontools.Selection('fullselection')
for selection in self.selections:
fullselection += selection
fullselection += self.devices
return fullselection |
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def prepare_series(self) -> None: # noinspection PyUnresolvedReferences """Call |XMLSubseries.prepare_series| of all |XMLSubseries| objects with the same memory |... |
memory = set()
for output in itertools.chain(self.readers, self.writers):
output.prepare_series(memory) |
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def selections(self) -> selectiontools.Selections: """The |Selections| object defined for the respective `reader` or `writer` element of the actual XML file. ToDo... |
selections = self.find('selections')
master = self
while selections is None:
master = master.master
selections = master.find('selections')
return _query_selections(selections) |
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def devices(self) -> selectiontools.Selection: """The additional devices defined for the respective `reader` or `writer` element contained within a |Selection| ob... |
devices = self.find('devices')
master = self
while devices is None:
master = master.master
devices = master.find('devices')
return _query_devices(devices) |
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def prepare_sequencemanager(self) -> None: """Configure the |SequenceManager| object available in module |pub| following the definitions of the actual XML `reader... |
for config, convert in (
('filetype', lambda x: x),
('aggregation', lambda x: x),
('overwrite', lambda x: x.lower() == 'true'),
('dirpath', lambda x: x)):
xml_special = self.find(config)
xml_general = self.master.find(confi... |
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def model2subs2seqs(self) -> Dict[str, Dict[str, List[str]]]: """A nested |collections.defaultdict| containing the model specific information provided by the XML ... |
model2subs2seqs = collections.defaultdict(
lambda: collections.defaultdict(list))
for model in self.find('sequences'):
model_name = strip(model.tag)
if model_name == 'node':
continue
for group in model:
group_name = strip(g... |
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def subs2seqs(self) -> Dict[str, List[str]]: """A |collections.defaultdict| containing the node-specific information provided by XML `sequences` element. node ['s... |
subs2seqs = collections.defaultdict(list)
nodes = find(self.find('sequences'), 'node')
if nodes is not None:
for seq in nodes:
subs2seqs['node'].append(strip(seq.tag))
return subs2seqs |
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def prepare_series(self, memory: set) -> None: """Call |IOSequence.activate_ram| of all sequences selected by the given output element of the actual XML file. Use... |
for sequence in self._iterate_sequences():
if sequence not in memory:
memory.add(sequence)
sequence.activate_ram() |
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def load_series(self) -> None: """Load time series data as defined by the actual XML `reader` element. -0.298846, -0.811539, -2.493848 """ |
kwargs = {}
for keyword in ('flattennetcdf', 'isolatenetcdf', 'timeaxisnetcdf'):
argument = getattr(hydpy.pub.options, keyword, None)
if argument is not None:
kwargs[keyword[:-6]] = argument
hydpy.pub.sequencemanager.open_netcdf_reader(**kwargs)
s... |
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def save_series(self) -> None: """Save time series data as defined by the actual XML `writer` element. True False 9.0 7.0 """ |
hydpy.pub.sequencemanager.open_netcdf_writer(
flatten=hydpy.pub.options.flattennetcdf,
isolate=hydpy.pub.options.isolatenetcdf)
self.prepare_sequencemanager()
for sequence in self._iterate_sequences():
sequence.save_ext()
hydpy.pub.sequencemanager.clo... |
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def write_xsd(cls) -> None: """Write the complete base schema file `HydPyConfigBase.xsd` based on the template file `HydPyConfigBase.xsdt`. Method |XSDWriter.writ... |
with open(cls.filepath_source) as file_:
template = file_.read()
template = template.replace(
'<!--include model sequence groups-->', cls.get_insertion())
template = template.replace(
'<!--include exchange items-->', cls.get_exchangeinsertion())
with ... |
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def get_modelnames() -> List[str]: """Return a sorted |list| containing all application model names. """ |
return sorted(str(fn.split('.')[0])
for fn in os.listdir(models.__path__[0])
if (fn.endswith('.py') and (fn != '__init__.py'))) |
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def get_insertion(cls) -> str: """Return the complete string to be inserted into the string of the template file. <element name="arma_v1" substitutionGroup="hpcb:... |
indent = 1
blanks = ' ' * (indent+4)
subs = []
for name in cls.get_modelnames():
subs.extend([
f'{blanks}<element name="{name}"',
f'{blanks} substitutionGroup="hpcb:sequenceGroup"',
f'{blanks} type="hpcb:{name}T... |
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def get_modelinsertion(cls, model, indent) -> str: """Return the insertion string required for the given application model. <element name="inputs" minOccurs="0"> ... |
texts = []
for name in ('inputs', 'fluxes', 'states'):
subsequences = getattr(model.sequences, name, None)
if subsequences:
texts.append(
cls.get_subsequencesinsertion(subsequences, indent))
return '\n'.join(texts) |
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def get_subsequencesinsertion(cls, subsequences, indent) -> str: """Return the insertion string required for the given group of sequences. <element name="fluxes" ... |
blanks = ' ' * (indent*4)
lines = [f'{blanks}<element name="{subsequences.name}"',
f'{blanks} minOccurs="0">',
f'{blanks} <complexType>',
f'{blanks} <sequence>']
for sequence in subsequences:
lines.append(cls.get_s... |
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def get_exchangeinsertion(cls):
"""Return the complete string related to the definition of exchange items to be inserted into the string of the template file. <c... |
indent = 1
subs = [cls.get_mathitemsinsertion(indent)]
for groupname in ('setitems', 'additems', 'getitems'):
subs.append(cls.get_itemsinsertion(groupname, indent))
subs.append(cls.get_itemtypesinsertion(groupname, indent))
return '\n'.join(subs) |
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def get_mathitemsinsertion(cls, indent) -> str: """Return a string defining a model specific XML type extending `ItemType`. <complexType name="arma_v1_mathitemTyp... |
blanks = ' ' * (indent*4)
subs = []
for modelname in cls.get_modelnames():
model = importtools.prepare_model(modelname)
subs.extend([
f'{blanks}<complexType name="{modelname}_mathitemType">',
f'{blanks} <complexContent>',
... |
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def get_itemsinsertion(cls, itemgroup, indent) -> str: """Return a string defining the XML element for the given exchange item group. <element name="setitems"> <c... |
blanks = ' ' * (indent*4)
subs = []
subs.extend([
f'{blanks}<element name="{itemgroup}">',
f'{blanks} <complexType>',
f'{blanks} <sequence>',
f'{blanks} <element ref="hpcb:selections"',
f'{blanks} ... |
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def get_itemtypesinsertion(cls, itemgroup, indent) -> str: """Return a string defining the required types for the given exchange item group. <complexType name="ar... |
subs = []
for modelname in cls.get_modelnames():
subs.append(cls.get_itemtypeinsertion(itemgroup, modelname, indent))
subs.append(cls.get_nodesitemtypeinsertion(itemgroup, indent))
return '\n'.join(subs) |
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def get_nodesitemtypeinsertion(cls, itemgroup, indent) -> str: """Return a string defining the required types for the given combination of an exchange item group ... |
blanks = ' ' * (indent * 4)
subs = [
f'{blanks}<complexType name="nodes_{itemgroup}Type">',
f'{blanks} <sequence>',
f'{blanks} <element ref="hpcb:selections"',
f'{blanks} minOccurs="0"/>',
f'{blanks} <element r... |
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def get_subgroupiteminsertion( cls, itemgroup, model, subgroup, indent) -> str: """Return a string defining the required types for the given combination of an exc... |
blanks1 = ' ' * (indent * 4)
blanks2 = ' ' * ((indent+5) * 4 + 1)
subs = [
f'{blanks1}<element name="{subgroup.name}"',
f'{blanks1} minOccurs="0"',
f'{blanks1} maxOccurs="unbounded">',
f'{blanks1} <complexType>',
f'{... |
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def array2mask(cls, array=None, **kwargs):
"""Create a new mask object based on the given |numpy.ndarray| and return it.""" |
kwargs['dtype'] = bool
if array is None:
return numpy.ndarray.__new__(cls, 0, **kwargs)
return numpy.asarray(array, **kwargs).view(cls) |
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def new(cls, variable, **kwargs):
"""Return a new |DefaultMask| object associated with the given |Variable| object.""" |
return cls.array2mask(numpy.full(variable.shape, True)) |
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def new(cls, variable, **kwargs):
"""Return a new |IndexMask| object of the same shape as the parameter referenced by |property| |IndexMask.refindices|. Entries ... |
indices = cls.get_refindices(variable)
if numpy.min(getattr(indices, 'values', 0)) < 1:
raise RuntimeError(
f'The mask of parameter {objecttools.elementphrase(variable)} '
f'cannot be determined, as long as parameter `{indices.name}` '
f'is no... |
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def calc_qref_v1(self):
"""Determine the reference discharge within the given space-time interval. Required state sequences: |QZ| |QA| Calculated flux sequence: ... |
new = self.sequences.states.fastaccess_new
old = self.sequences.states.fastaccess_old
flu = self.sequences.fluxes.fastaccess
flu.qref = (new.qz+old.qz+old.qa)/3. |
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def calc_am_um_v1(self):
"""Calculate the flown through area and the wetted perimeter of the main channel. Note that the main channel is assumed to have identica... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
if flu.h <= 0.:
flu.am = 0.
flu.um = 0.
elif flu.h < con.hm:
flu.am = flu.h*(con.bm+flu.h*con.bnm)
flu.um = con.bm+2.*flu.h*(1.+con.bnm**2)**.5
else:
flu.am = (con.hm*(con.bm+con.... |
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def calc_qm_v1(self):
"""Calculate the discharge of the main channel after Manning-Strickler. Required control parameters: |EKM| |SKM| |Gef| Required flux sequen... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
if (flu.am > 0.) and (flu.um > 0.):
flu.qm = con.ekm*con.skm*flu.am**(5./3.)/flu.um**(2./3.)*con.gef**.5
else:
flu.qm = 0. |
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def calc_av_uv_v1(self):
"""Calculate the flown through area and the wetted perimeter of both forelands. Note that the each foreland lies between the main channe... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
for i in range(2):
if flu.h <= con.hm:
flu.av[i] = 0.
flu.uv[i] = 0.
elif flu.h <= (con.hm+der.hv[i]):
flu.av[i] = (flu.h-con.hm)*... |
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def calc_qv_v1(self):
"""Calculate the discharge of both forelands after Manning-Strickler. Required control parameters: |EKV| |SKV| |Gef| Required flux sequence... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
for i in range(2):
if (flu.av[i] > 0.) and (flu.uv[i] > 0.):
flu.qv[i] = (con.ekv[i]*con.skv[i] *
flu.av[i]**(5./3.)/flu.uv[i]**(2./3.)*con.gef**.5)
else:
flu.qv[... |
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def calc_avr_uvr_v1(self):
"""Calculate the flown through area and the wetted perimeter of both outer embankments. Note that each outer embankment lies beyond it... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
for i in range(2):
if flu.h <= (con.hm+der.hv[i]):
flu.avr[i] = 0.
flu.uvr[i] = 0.
else:
flu.avr[i] = (flu.h-(con.hm+der.hv[i]))**... |
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def calc_qvr_v1(self):
"""Calculate the discharge of both outer embankments after Manning-Strickler. Required control parameters: |EKV| |SKV| |Gef| Required flux... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
for i in range(2):
if (flu.avr[i] > 0.) and (flu.uvr[i] > 0.):
flu.qvr[i] = (con.ekv[i]*con.skv[i] *
flu.avr[i]**(5./3.)/flu.uvr[i]**(2./3.)*con.gef**.5)
else:
f... |
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def calc_ag_v1(self):
"""Sum the through flown area of the total cross section. Required flux sequences: |AM| |AV| |AVR| Calculated flux sequence: |AG| Example: ... |
flu = self.sequences.fluxes.fastaccess
flu.ag = flu.am+flu.av[0]+flu.av[1]+flu.avr[0]+flu.avr[1] |
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def calc_qg_v1(self):
"""Calculate the discharge of the total cross section. Method |calc_qg_v1| applies the actual versions of all methods for calculating the f... |
flu = self.sequences.fluxes.fastaccess
self.calc_am_um()
self.calc_qm()
self.calc_av_uv()
self.calc_qv()
self.calc_avr_uvr()
self.calc_qvr()
flu.qg = flu.qm+flu.qv[0]+flu.qv[1]+flu.qvr[0]+flu.qvr[1] |
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def calc_hmin_qmin_hmax_qmax_v1(self):
"""Determine an starting interval for iteration methods as the one implemented in method |calc_h_v1|. The resulting interv... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
aid = self.sequences.aides.fastaccess
if flu.qref <= der.qm:
aid.hmin = 0.
aid.qmin = 0.
aid.hmax = con.hm
aid.qmax = der.qm
elif flu.qref <= ... |
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def calc_h_v1(self):
"""Approximate the water stage resulting in a certain reference discarge with the Pegasus iteration method. Required control parameters: |QT... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
aid = self.sequences.aides.fastaccess
aid.qmin -= flu.qref
aid.qmax -= flu.qref
if modelutils.fabs(aid.qmin) < con.qtol:
flu.h = aid.hmin
self.calc_qg()
elif modelutils.fabs(aid.qmax) < con.qtol:... |
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def calc_qa_v1(self):
"""Calculate outflow. The working equation is the analytical solution of the linear storage equation under the assumption of constant chang... |
flu = self.sequences.fluxes.fastaccess
old = self.sequences.states.fastaccess_old
new = self.sequences.states.fastaccess_new
aid = self.sequences.aides.fastaccess
if flu.rk <= 0.:
new.qa = new.qz
elif flu.rk > 1e200:
new.qa = old.qa+new.qz-old.qz
else:
aid.temp = (1.... |
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def pass_q_v1(self):
"""Update outflow.""" |
sta = self.sequences.states.fastaccess
out = self.sequences.outlets.fastaccess
out.q[0] += sta.qa |
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def calc_tc_v1(self):
"""Adjust the measured air temperature to the altitude of the individual zones. Required control parameters: |NmbZones| |TCAlt| |ZoneZ| |ZR... |
con = self.parameters.control.fastaccess
inp = self.sequences.inputs.fastaccess
flu = self.sequences.fluxes.fastaccess
for k in range(con.nmbzones):
flu.tc[k] = inp.t-con.tcalt[k]*(con.zonez[k]-con.zrelt) |
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def calc_tmean_v1(self):
"""Calculate the areal mean temperature of the subbasin. Required derived parameter: |RelZoneArea| Required flux sequence: |TC| Calculat... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
flu.tmean = 0.
for k in range(con.nmbzones):
flu.tmean += der.relzonearea[k]*flu.tc[k] |
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def calc_pc_v1(self):
"""Apply the precipitation correction factors and adjust precipitation to the altitude of the individual zones. Required control parameters... |
con = self.parameters.control.fastaccess
inp = self.sequences.inputs.fastaccess
flu = self.sequences.fluxes.fastaccess
for k in range(con.nmbzones):
flu.pc[k] = inp.p*(1.+con.pcalt[k]*(con.zonez[k]-con.zrelp))
if flu.pc[k] <= 0.:
flu.pc[k] = 0.
else:
flu.... |
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def calc_ep_v1(self):
"""Adjust potential norm evaporation to the actual temperature. Required control parameters: |NmbZones| |ETF| Required input sequence: |EPN... |
con = self.parameters.control.fastaccess
inp = self.sequences.inputs.fastaccess
flu = self.sequences.fluxes.fastaccess
for k in range(con.nmbzones):
flu.ep[k] = inp.epn*(1.+con.etf[k]*(flu.tmean-inp.tn))
flu.ep[k] = min(max(flu.ep[k], 0.), 2.*inp.epn) |
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def calc_epc_v1(self):
"""Apply the evaporation correction factors and adjust evaporation to the altitude of the individual zones. Calculate the areal mean of (u... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
for k in range(con.nmbzones):
flu.epc[k] = (flu.ep[k]*con.ecorr[k] *
(1. - con.ecalt[k]*(con.zonez[k]-con.zrele)))
if flu.epc[k] <= 0.:
flu.epc[k] = 0.
else:
... |
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def calc_tf_ic_v1(self):
"""Calculate throughfall and update the interception storage accordingly. Required control parameters: |NmbZones| |ZoneType| |IcMax| Req... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
for k in range(con.nmbzones):
if con.zonetype[k] in (FIELD, FOREST):
flu.tf[k] = max(flu.pc[k]-(con.icmax[k]-sta.ic[k]), 0.)
sta.ic[k] += flu.pc[k]-flu.... |
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def calc_sp_wc_v1(self):
"""Add throughfall to the snow layer. Required control parameters: |NmbZones| |ZoneType| Required flux sequences: |TF| |RfC| |SfC| Updat... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
for k in range(con.nmbzones):
if con.zonetype[k] != ILAKE:
if (flu.rfc[k]+flu.sfc[k]) > 0.:
sta.wc[k] += flu.tf[k]*flu.rfc[k]/(flu.rfc[k]+flu.sfc[k]... |
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def calc_refr_sp_wc_v1(self):
"""Calculate refreezing of the water content within the snow layer and update both the snow layers ice and the water content. Requi... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
for k in range(con.nmbzones):
if con.zonetype[k] != ILAKE:
if flu.tc[k] < der.ttm[k]:
flu.refr[k] = min... |
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def calc_glmelt_in_v1(self):
"""Calculate melting from glaciers which are actually not covered by a snow layer and add it to the water release of the snow module... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
for k in range(con.nmbzones):
if ((con.zonetype[k] == GLACIER) and
(sta.sp[k] <= 0.) and (flu.tc[k] > der.ttm[k])):... |
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def calc_r_sm_v1(self):
"""Calculate effective precipitation and update soil moisture. Required control parameters: |NmbZones| |ZoneType| |FC| |Beta| Required fl... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
for k in range(con.nmbzones):
if con.zonetype[k] in (FIELD, FOREST):
if con.fc[k] > 0.:
flu.r[k] = flu.in_[k]*(sta.sm[k]/con.fc[k])**con.beta[k]
... |
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def calc_cf_sm_v1(self):
"""Calculate capillary flow and update soil moisture. Required control parameters: |NmbZones| |ZoneType| |FC| |CFlux| Required fluxes se... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
for k in range(con.nmbzones):
if con.zonetype[k] in (FIELD, FOREST):
if con.fc[k] > 0.:
flu.cf[k] = con.cflux[k]*(1.-sta.sm[k]/con.fc[k])
... |
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def calc_ea_sm_v1(self):
"""Calculate soil evaporation and update soil moisture. Required control parameters: |NmbZones| |ZoneType| |FC| |LP| |ERed| Required flu... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
for k in range(con.nmbzones):
if con.zonetype[k] in (FIELD, FOREST):
if sta.sp[k] <= 0.:
if (con.lp[k]*con.fc[k]) > 0.:
flu.ea[k... |
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def calc_inuz_v1(self):
"""Accumulate the total inflow into the upper zone layer. Required control parameters: |NmbZones| |ZoneType| Required derived parameters:... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
flu.inuz = 0.
for k in range(con.nmbzones):
if con.zonetype[k] != ILAKE:
flu.inuz += der.rellandzonearea[k]*(flu.r[k]-flu.cf[k]) |
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def calc_contriarea_v1(self):
"""Determine the relative size of the contributing area of the whole subbasin. Required control parameters: |NmbZones| |ZoneType| |... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
if con.resparea and (der.relsoilarea > 0.):
flu.contriarea = 0.
for k in range(con.nmbzones):
if con.zonetype[k... |
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def calc_q0_perc_uz_v1(self):
"""Perform the upper zone layer routine which determines percolation to the lower zone layer and the fast response of the hland mod... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
flu.perc = 0.
flu.q0 = 0.
for dummy in range(con.recstep):
# First state update related to the upper zone input.
st... |
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def calc_el_lz_v1(self):
"""Calculate lake evaporation. Required control parameters: |NmbZones| |ZoneType| |TTIce| Required derived parameters: |RelZoneArea| Req... |
con = self.parameters.control.fastaccess
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
for k in range(con.nmbzones):
if (con.zonetype[k] == ILAKE) and (flu.tc[k] > con.ttice[k]):
flu.el[k] = flu.epc[k]
... |
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def calc_q1_lz_v1(self):
"""Calculate the slow response of the lower zone layer. Required control parameters: |K4| |Gamma| Calculated fluxes sequence: |Q1| Updat... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
sta = self.sequences.states.fastaccess
if sta.lz > 0.:
flu.q1 = con.k4*sta.lz**(1.+con.gamma)
else:
flu.q1 = 0.
sta.lz -= flu.q1 |
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def calc_inuh_v1(self):
"""Calculate the unit hydrograph input. Required derived parameters: |RelLandArea| Required flux sequences: |Q0| |Q1| Calculated flux seq... |
der = self.parameters.derived.fastaccess
flu = self.sequences.fluxes.fastaccess
flu.inuh = der.rellandarea*flu.q0+flu.q1 |
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def calc_qt_v1(self):
"""Calculate the total discharge after possible abstractions. Required control parameter: |Abstr| Required flux sequence: |OutUH| Calculate... |
con = self.parameters.control.fastaccess
flu = self.sequences.fluxes.fastaccess
flu.qt = max(flu.outuh-con.abstr, 0.) |
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def save(self, parameterstep=None, simulationstep=None):
"""Save all defined auxiliary control files. The target path is taken from the |ControlManager| object s... |
par = parametertools.Parameter
for (modelname, var2aux) in self:
for filename in var2aux.filenames:
with par.parameterstep(parameterstep), \
par.simulationstep(simulationstep):
lines = [parametertools.get_controlfileheader(
... |
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def remove(self, *values):
"""Remove the defined variables. The variables to be removed can be selected in two ways. But the first example shows that passing not... |
for value in objecttools.extract(values, (str, variabletools.Variable)):
try:
deleted_something = False
for fn2var in list(self._type2filename2variable.values()):
for fn_, var in list(fn2var.items()):
if value in (fn_, var)... |
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def filenames(self):
"""A list of all handled auxiliary file names. ['file1', 'file2'] """ |
fns = set()
for fn2var in self._type2filename2variable.values():
fns.update(fn2var.keys())
return sorted(fns) |
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def get_filename(self, variable):
"""Return the auxiliary file name the given variable is allocated to or |None| if the given variable is not allocated to any au... |
fn2var = self._type2filename2variable.get(type(variable), {})
for (fn_, var) in fn2var.items():
if var == variable:
return fn_
return None |
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def update(self):
"""Calculate the smoothing parameter values. The following example is explained in some detail in module |smoothtools|: 1.0 0.99 """ |
metapar = self.subpars.pars.control.remotedischargesafety
self.shape = metapar.shape
self(tuple(smoothtools.calc_smoothpar_logistic1(mp)
for mp in metapar.values)) |
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def run_subprocess(command: str, verbose: bool = True, blocking: bool = True) \ -> Optional[subprocess.Popen]: """Execute the given command in a new process. Only... |
if blocking:
result1 = subprocess.run(
command,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
encoding='utf-8',
shell=True)
if verbose: # due to doctest replacing sys.stdout
for output in (result1.stdout, result1.stderr):
... |
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def exec_commands(commands: str, **parameters: Any) -> None: """Execute the given Python commands. Function |exec_commands| is thought for testing purposes only (... |
cmdlist = commands.split(';')
print(f'Start to execute the commands {cmdlist} for testing purposes.')
for par, value in parameters.items():
exec(f'{par} = {value}')
for command in cmdlist:
command = command.replace('__', 'temptemptemp')
command = command.replace('_', ' ')
... |
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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
def prepare_logfile(filename: str) -> str: """Prepare an empty log file eventually and return its absolute path. When passing the "filename" `stdout`, |prepare_lo... |
if filename == 'stdout':
return filename
if filename == 'default':
filename = datetime.datetime.now().strftime(
'hydpy_%Y-%m-%d_%H-%M-%S.log')
with open(filename, 'w'):
pass
return os.path.abspath(filename) |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
def execute_scriptfunction() -> None: """Execute a HydPy script function. Function |execute_scriptfunction| is indirectly applied and explained in the documentati... |
try:
args_given = []
kwargs_given = {}
for arg in sys.argv[1:]:
if len(arg) < 3:
args_given.append(arg)
else:
try:
key, value = parse_argument(arg)
kwargs_given[key] = value
excep... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
def parse_argument(string: str) -> Union[str, Tuple[str, str]]: """Return a single value for a string understood as a positional argument or a |tuple| containing ... |
idx_equal = string.find('=')
if idx_equal == -1:
return string
idx_quote = idx_equal+1
for quote in ('"', "'"):
idx = string.find(quote)
if -1 < idx < idx_quote:
idx_quote = idx
if idx_equal < idx_quote:
return string[:idx_equal], string[idx_equal+1:]
... |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
def print_textandtime(text: str) -> None: """Print the given string and the current date and time with high precision for logging purposes. something happens (200... |
timestring = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S.%f')
print(f'{text} ({timestring}).') |
<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
def write(self, string: str) -> None: """Write the given string as explained in the main documentation on class |LogFileInterface|.""" |
self.logfile.write('\n'.join(
f'{self._string}{substring}' if substring else ''
for substring in string.split('\n'))) |
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