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update documents and tutorial.ipynb
- include multimodal DTALite in tutorial.ipynb.
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README.md

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We highly recommend that you go through the above [Tutorial](https://github.com/jdlph/Path4GMNS/tree/dev/tutorial/tutorial.ipynb), no matter you are one of the existing users or new to Path4GMNS.
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## Installation
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Path4GMNS has been published on [PyPI](https://pypi.org/project/path4gmns/0.9.7/), and can be installed using
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Path4GMNS has been published on [PyPI](https://pypi.org/project/path4gmns/0.9.8/), and can be installed using
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```
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$ pip install path4gmns
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```

docs/source/installation.rst

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Installation
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============
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Path4GMNS has been published on `PyPI <https://pypi.org/project/path4gmns/0.9.7/>`_, and can be installed using
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Path4GMNS has been published on `PyPI <https://pypi.org/project/path4gmns/0.9.8/>`_, and can be installed using
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.. code-block:: bash
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$ pip install path4gmns
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If you need a specific version of Path4GMNS, say, 0.9.7,
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If you need a specific version of Path4GMNS, say, 0.9.8,
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.. code-block:: bash
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$ pip install path4gmns==0.9.7
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$ pip install path4gmns==0.9.8
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Dependency
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# from the root directory of PATH4GMNS
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$ python setup.py sdist bdist_wheel
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$ cd dist
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# or python -m pip install path4gmns-0.9.7.tar.gz
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$ python -m pip instal pypath4gmns-0.9.7-py3-none-any.whl
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# or python -m pip install path4gmns-0.9.8.tar.gz
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$ python -m pip instal pypath4gmns-0.9.8-py3-none-any.whl
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Here, 0.9.7 is the version number. Replace it with the one specified in setup.py.
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Here, 0.9.8 is the version number. Replace it with the one specified in setup.py.

docs/source/updates.md

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49. Calculate and print out the final UE convergency after the postprocessing (v0.9.6)
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50. Embed and support the latest [DTALite](https://github.com/asu-trans-ai-lab/DTALite) in addition to the existing [classic version](https://github.com/jdlph/DTALite) (v0.9.6)
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51. Complete update 47 introduced in v0.9.5 (v0.9.7)
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52. Support recurring calls of run_DTALite() (v0.9.8)
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Detailed update information can be found in [Releases](https://github.com/jdlph/Path4GMNS/releases).

tutorial/tutorial.ipynb

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"pg.perform_network_assignment_DTALite(mode, column_gen_num, column_update_num)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "eece1814",
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"metadata": {},
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"source": [
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"Starting from v0.9.6, you could conduct the above tasks using the [Multimodal DTALite](https://github.com/asu-trans-ai-lab/DTALite). No parameters are needed."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "4c592fa5",
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"metadata": {},
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"outputs": [],
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"source": [
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"pg.run_DTALite()"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",

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