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bstabler committed Aug 25, 2021
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5 changes: 3 additions & 2 deletions docs/application_configuration.rst
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Expand Up @@ -320,7 +320,7 @@ These settings control the functionality of the PopulationSim algorithm. The set
| | | The maximum expansion factor may have to be adjusted upwards if the target |br| |
| | | is much greater than the seed number of households. |br| |
+--------------------------------------+------------+---------------------------------------------------------------------------------+
| MAX_BALANCE_ITERATIONS_SIMULTANEOUS | Integer | Number of simultaneous list balancer iterations |
| MAX_BALANCE_ITERATIONS_SIMULTANEOUS | Integer | Number of list balancer iterations. The default may be more than is needed. |
+--------------------------------------+------------+---------------------------------------------------------------------------------+


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**Input Data Tables for repop mode**

The repop mode runs over an existing synthetic population and uses the data pipeline (HDF5 file) from the regular run as an input. User should copy the HDF5 file from the regular outputs to the *output* folder of the repop set up. The data input which needs to be specified in this setting is the control data for the subset of geographies to be modified. Input tables for the repop mode can be specified in the same manner as regular mode. However, only one geography can be controlled. In the example below, TAZ controls are specified. The controls specified in TAZ_control_data do not have to be consistent with the controls specified in the data used to control the initial population. Only those geographic units to be repopulated should be specified in the control data (for example, TAZs 314 through 317).
The repop mode runs over an existing synthetic population and uses the data pipeline (HDF5 file) from the regular run as an input. User should copy the HDF5 file from the regular outputs to the *output* folder of the repop set up. The data input which needs to be specified in this setting is the control data for the subset of geographies to be modified. Input tables for the repop mode can be specified in the same manner as regular mode. However, only one geography can be controlled and the geography must be the lowest in "geographies" setting. In the example below, TAZ controls are specified. The controls specified in TAZ_control_data do not have to be consistent with the controls specified in the data used to control the initial population. Only those geographic units to be repopulated should be specified in the control data (for example, TAZs 314 through 317).

::

Expand All @@ -713,6 +713,7 @@ The repop mode runs over an existing synthetic population and uses the data pipe
| Attribute | Description |
+===========================+=============================================================+
| repop_control_file_name | Name of the CSV control specification file for repop mode |
| | Must include total_hh_control field |
+---------------------------+-------------------------------------------------------------+


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10 changes: 8 additions & 2 deletions docs/getting_started.rst
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Expand Up @@ -12,7 +12,13 @@ This page describes how to install and run PopulationSim with the provided examp
Installation
------------

1. Install `Anaconda 64bit Python 3 <https://www.anaconda.com/distribution/>`__. Anaconda Python is required for PopulationSim.
1. It is recommended that you install and use a *conda* package manager
for your system. One easy way to do so is by using `Anaconda 64bit Python 3 <https://www.anaconda.com/distribution/>`__,
although you should consult the `terms of service <https://www.anaconda.com/terms-of-service>`__
for this product and ensure you qualify (as of summer 2021, businesses and
governments with over 200 employees do not qualify for free usage). If you prefer
a completely free open source *conda* tool, you can download and install the
appropriate version of `Miniforge <https://github.com/conda-forge/miniforge#miniforge3>`__.

2. If you access the internet from behind a firewall, then you will need to configure your proxy server. To do so, create a .condarc file in your Anaconda installation folder (i.e. ``C:\ProgramData\Anaconda3``), such as:

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ActivitySim depends + some handy Python installation management tools.

For more information on Anaconda and ActivitySim, see ActivitySim's `getting started
<https://activitysim.github.io/activitysim/gettingstarted.html#anaconda>`__ guide.
<https://activitysim.github.io/activitysim/gettingstarted.html>`__ guide.


Run Examples
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15 changes: 0 additions & 15 deletions docs/software.rst
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Expand Up @@ -224,18 +224,3 @@ Contribution Guidelines

PopulationSim development follows the same `development guidelines <https://activitysim.github.io/activitysim/development.html>`__ as ActivitySim.


Release Notes
-------------

* v0.3 - first release
* v0.3.1 - allow zones with zero households
* v0.3.2 - fix bug in mult-integerizer with total_hh_parent_control_index
* v0.3.3 - add disgnostic printouts on assert fail in mult_integerizer
* v0.3.4 - add survey weighting use case
* v0.3.5 - add Python 3.5+ support
* v0.4 - transfer to ActivitySim.org
* v0.4.1 - package updates
* v0.4.2 - validation script in Python
* v0.4.3 - allow non-binary incidence
* v0.5 - support for multiprocessing
2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -5,7 +5,7 @@

setup(
name='populationsim',
version='0.5',
version='0.5.1',
description='Population Synthesis',
author='contributing authors',
author_email='ben.stabler@rsginc.com',
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