Multithreading needs pickling to work.
Pickling/unpickling didn't work in some situations, like when the
environment_agents parameter was left blank.
This was due to two reasons:
1) agents and history didn't have a setstate method, and some of their
attributes cannot be pickled (generators, sqlite connection)
2) the environment was adding generators (agents) to its state.
This fixes the situation by restricting the keys that the environment exports
when it pickles, and by adding the set/getstate methods in agents.
The resulting pickles should contain enough information to inspect
them (history, state values, etc), but very limited.
* Upgrade to python3.7 and pandas 0.3.4 because pandas has dropped support for
python 3.4 -> There are some API changes in pandas, and I've update the code
accordingly.
* Set pytest as the default test runner
The web server is included as a submodule.
The dependencies for the web (tornado) are not installed by default, but they
can be installed as an extra:
```
pip install soil[web]
```
Once installed, the soil web can be used like this:
```
soil-web
OR
python -m soil.web
```
There are other minor changes:
* History re-connects to the sqlite database if it is used from a different
thread.
* Environment accepts additional parameters (so it can run simulations with
`visualization_params` or any other in the future).
* The simulator class is no longer necessary
* Logging is done in the same thread, and the simulation is run in a separate
one. This had to be done because it was creating some problems with tornado not
being able to find the current thread during logs, which caused hundreds of
repeated lines in the web "console".
* The player is slightly modified in this version. I noticed that when the
visualization was playing, if you clicked somewhere it would change for a
second, and then go back to the previous place. The code for the playback
seemed too complex, especially speed control, so I rewrote some parts. I
might've introduced new bugs.
Now the environment does not deal with history directly, it delegates it to a
specific class. The analysis also uses history instances instead of either
using the database directly or creating a proxy environment.
This should make it easier to change the implementation in the future.
In fact, the change was motivated by the large size of the csv files in previous
versions. This new implementation only stores results in deltas, and it fills
any necessary values when needed.
* Graphs are not saved by default (not backwards compatible)
* Modified newsspread examples
* More granular options to save results (exporting to CSV and GEXF are now
optional)
* Updated tutorial to include exporting options
* Removed references from environment to simulation
* Added parallelism to simulations (can be turned off with a flag or argument).
