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V1 Refactor RC #327
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Merged
V1 Refactor RC #327
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- removed project card.py - refactored selection, graph, subnet, segment from roadway network - refactored project changes apply from roadway network - refactored shapes, links and nodes specs from roadway network
+ varia bug fixes
transit selection tests passing
+ linting
- generalize transit property change projects to be any attribute in table
- update required link attr - pep8 - refactor time --> timespan
…n formats - Remove LocationReferences from required part of schema that we fill in. Jump straight to geometries. - Make link geometry creation a vector operation —> speeds up significantly 30-100 times as fast - Added - Accessor for link true-shapes - Add clipping functionality for roadway and transit
This was
linked to
issues
Apr 15, 2024
- Accidentally deleted 'ref' from st paul roadway links b/c wasn't in data model even though it is used. - Added to data model since it is a key OSM field as optional and updated example network to include it. - Updated error checking for the dict query to make sure it is explicitly telling you the field doesn't exist in the df you are querying
Also: - try to fix benchmarking/coverage reports #394 - Fix bug in build osm roadnet.py
Fixes #395 and tests it as well
Also: - link to notebooks that have additional details/info - add info about using included conda env and installing optional dependencies - change name of quickstart to intro since it is actually fairly in depth
- include docs build as part of release and push to avoid a pull clash - update checkout/python action versions for 4 and 5 - separate prerelease and release workflows - prerelease workflow pushes on any main push and wont collide with versions - fix typo referring to other repo - make pyproject.toml dependencies recursive so tests also includes docs and viz
- using coverage.xml
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This PR contains refactors, bug fixes, performance enhancement, and features for v1 of network_wrangler documented in
notebook/releaseoverviewv1.ipynb
including:Features
Tech Overhead Investment
Speed
pandera
for speedy, vector-based data model validation for dataframes