gnome.outputters.memory_outputter

An outputter that stores in memory

This can be handy for tests, etc.

NOTE: not complete!

Classes

DataBuffer

MemoryOutputter

Base class for all outputters

Module Contents

class gnome.outputters.memory_outputter.DataBuffer

Bases: object

certain = []
uncertain = []
class gnome.outputters.memory_outputter.MemoryOutputter(cache=None, on=True, output_timestep=None, output_zero_step=True, output_last_step=True, output_single_step=False, output_start_time=None, output_dir=None, surface_conc=None, *args, **kwargs)

Bases: gnome.outputters.outputter.Outputter

Base class for all outputters Since this outputter doesn’t do anything, it’ll never be used as part of a gnome model. As such, it should never need to be serialized

Sets attributes for outputters, like output_timestep, cache, etc.

Parameters:

  • cache – sets the cache object from which to read data. The model will automatically set this parameter.

  • output_timestep=None – If None output will be written every model time step. If set, then output is written every output_timestep starting from the model start time. If the output_timestep is less than the model timestep, an Warning will be raised at runtime.

  • output_zero_step=True – If True then output for initial step (showing initial release conditions) is written regardless of output_timestep or output_single_step

  • output_last_step=True – If True then output for final step is written regardless of output_timestep or output_single_step. This is potentially an extra output, if not aligned with output_timestep.

  • output_single_step=False – If True then output is written for only one step, the output_start_time, regardless of output_timestep. output_zero_step and output_last_step are still respected, set these to False if you want only one time step.

  • output_start_time=None – Time to start outputting restults. If None it is set to the model start time

  • output_dir=None – Directory to dump output in, if it needs to do this.

  • surface_conc=None – Compute surface concentration Any non-empty string will compute (and output) the surface concentration. The contents of the string determine the algorithm used. “kde” is currently the only available option.

arrays_to_output = ['mass', 'positions', 'age', 'status_codes']
prepare_for_model_run(*args, **kwargs)

This method gets called by the model at the beginning of a new run. Do what you need to do to prepare.

Parameters:

  • model_start_time (datetime.datetime object) – (Required) start time of the model run. NetCDF time units calculated with respect to this time.

  • spills (gnome.spill_container.SpillContainerPair object) – (Required) model.spills object (SpillContainerPair)

  • model_time_step (float seconds) – time step of the model – used to set timespans for some outputters

Optional argument - in case cache needs to be updated

Parameters:

cache=None – Sets the cache object to be used for the data. If None, it will use the one already set up.

also added **kwargs since a derived class like NetCDFOutput could require additional variables.

Note

base class doesn’t use model_start_time or spills, but multiple outputters need spills and netcdf needs model_start_time, so just set them here

write_output(step_num, islast_step=False)

Save data at each output timestep

Parameters:

  • step_num (int) – the model step number you want rendered.

  • islast_step (bool) – Default is False. Flag that indicates that step_num is last step. If ‘output_last_step’ is True then this is written out

Use super to call base class write_output method