Copasi-basico

This release adds a generic `set_value` function, that makes it easy to change values directly by their display name. For example:

* `set_value('(R1).k1', 10)` to set a local parameter
* `set_value('S', 10, initial=True)` to set an initial concentration of a species S

This release fixes an issue, where it was possible to define fit parameters (parameters to be estimated by parameter estimation), that referred to transient values, rather than initial one.

This release adds an optional parameter to `get_simulation_results`, that allows to not update the model parameters. So the simulation results will be generated for the current model state, rather than the solution from the last parameter estimation run if `update_parameters=False`.


**Full Changelog**: https://github.com/copasi/basico/compare/v0.26...v0.27

This release fixes an issue creating new experiment descriptions from a python dictionary.

This version adds the capability of directly manipulating python dictionaries for export / import of parameter estimation setups. Skipping the step of YAML serialization / deserialization if needed. Also full filenames to the export of experimental data files will be returned, so that the setting can be easier applied to new files, without the need to copy files.

This release makes it possible to export / import the mapping to experimental data files from a COPASI file. The format chosen is YAML:

* [example notebook](https://basico.readthedocs.io/en/latest/notebooks/ParameterEstimation_Export.html)

that way you can quickly transfer mappings from one COPASI file to another one, adjusting just the couple of parameters you like to modify.