Improve tutorial
* Improve text * Move to docs * Autogenerate with sphinx * Fix naming issue `environment.run` (double name) * Add to tests
@ -4,7 +4,7 @@
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Soil is an extensible and user-friendly Agent-based Social Simulator for Social Networks.
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Learn how to run your own simulations with our [documentation](http://soilsim.readthedocs.io).
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Follow our [tutorial](examples/tutorial/soil_tutorial.ipynb) to develop your own agent models.
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Follow our [tutorial](docs/tutorial/soil_tutorial.ipynb) to develop your own agent models.
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> **Warning**
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> Soil 1.0 introduced many fundamental changes. Check the [documention on how to update your simulations to work with newer versions](docs/notes_v1.0.rst)
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10
docs/conf.py
@ -31,7 +31,10 @@
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# Add any Sphinx extension module names here, as strings. They can be
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# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
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# ones.
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extensions = ['IPython.sphinxext.ipython_console_highlighting']
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extensions = [
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"IPython.sphinxext.ipython_console_highlighting",
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"nbsphinx",
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]
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# Add any paths that contain templates here, relative to this directory.
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templates_path = ['_templates']
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@ -64,7 +67,7 @@ release = '0.1'
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#
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# This is also used if you do content translation via gettext catalogs.
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# Usually you set "language" from the command line for these cases.
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language = None
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language = "en"
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# List of patterns, relative to source directory, that match files and
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# directories to ignore when looking for source files.
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@ -152,6 +155,3 @@ texinfo_documents = [
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author, 'Soil', 'One line description of project.',
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'Miscellaneous'),
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]
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@ -2,19 +2,20 @@ Welcome to Soil's documentation!
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================================
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Soil is an opinionated Agent-based Social Simulator in Python focused on Social Networks.
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To get started developing your own simulations and agent behaviors, check out our :doc:`Tutorial <soil_tutorial>` and the `examples on GitHub <https://github.com/gsi-upm/soil/tree/master/examples>`.
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Soil can be installed through pip (see more details in the :doc:`installation` page):.
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.. image:: soil.png
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:width: 80%
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:align: center
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Soil can be installed through pip (see more details in the :doc:`installation` page):
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.. code:: bash
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pip install soil
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To get started developing your own simulations and agent behaviors, check out our :doc:`Tutorial <soil_tutorial>` and the `examples on GitHub <https://github.com/gsi-upm/soil/tree/master/examples>.
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If you use Soil in your research, do not forget to cite this paper:
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@ -46,7 +47,8 @@ If you use Soil in your research, do not forget to cite this paper:
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:caption: Learn more about soil:
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installation
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Tutorial <soil_tutorial>
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Tutorial <tutorial/soil_tutorial>
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notes_v1.0
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..
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@ -1,3 +1,6 @@
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Upgrading to Soil 1.0
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---------------------
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What are the main changes in version 1.0?
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#########################################
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@ -1 +1,2 @@
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ipython>=7.31.1
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nbsphinx==0.9.1
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4
setup.py
@ -17,9 +17,9 @@ def parse_requirements(filename):
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install_reqs = parse_requirements("requirements.txt")
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test_reqs = parse_requirements("test-requirements.txt")
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extras_require={
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'mesa': ['mesa>=0.8.9'],
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'geo': ['scipy>=1.3'],
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'web': ['tornado']
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'web': ['tornado'],
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'ipython': ['ipython==8.12', 'nbformat==5.8'],
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}
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extras_require['all'] = [dep for package in extras_require.values() for dep in package]
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@ -216,10 +216,11 @@ class BaseEnvironment(Model):
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@classmethod
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def run(cls, *,
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name=None,
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iterations=1,
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num_processes=1, **kwargs):
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from .simulation import Simulation
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return Simulation(name=cls.__name__,
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return Simulation(name=name or cls.__name__,
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model=cls, iterations=iterations,
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num_processes=num_processes, **kwargs).run()
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@ -2,3 +2,5 @@ pytest
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pytest-profiling
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scipy>=1.3
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tornado
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nbconvert==7.3.1
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nbformat==5.8.0
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@ -7,7 +7,7 @@ ROOT = os.path.abspath(os.path.dirname(__file__))
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class TestNotebooks(TestCase):
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def test_tutorial(self):
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notebook = os.path.join(ROOT, "../examples/tutorial/soil_tutorial.ipynb")
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notebook = os.path.join(ROOT, "../docs/tutorial/soil_tutorial.ipynb")
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with open(notebook) as f:
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nb = nbformat.read(f, as_version=4)
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ep = ExecutePreprocessor(timeout=60000, kernel_name='python3')
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