tdvisu 1.1.5

Visualizing Dynamic Programming on Tree Decompositions.

TdVisu

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Visualization for dynamic programming on tree decompositions.

Create a graph object for each given graph that is of interest for the dynamic programming.

The visualization generates highlights and adds solution-tables for user defined time steps.

These snapshot of the graphs will be written in a graphviz-supported file-format to a folder of your choosing.

For the portable and light weight '.svg' format, all graphs for a timestep can be joined together to provide a thoroughly view on the process of dynamic programming.

With the '.svg' format the images are highly customizable, and even combining several timesteps together using svg animate would be an option in the future.

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Using

Alubbock:Graphviz (or Graphviz (>=2.38))

python-benedict

for dpdb: psycopg2 (2.8.5)

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To register the graphviz plugins

https://gitlab.com/graphviz/graphviz/-/issues/1352

dot.exe -c

To install

In a command prompt with pip (to get pip see: https://pip.pypa.io/en/stable/) installed: Just run

pip install -h (for more information on install options)
pip install tdvisu

To isolate the dependencies

With virtualenv on the system installed you can isolate the environment with for example:

virtualenv tdvisu_dir -p 3.8
cd tdvisu_dir/bin/
source activate

With Conda on the system installed the dependencies for this project can be automatically installed in a new environment:

To download the latest version from the default branch:

git clone --depth 1 --single https://github.com/VaeterchenFrost/tdvisu

Open a conda-command-prompt with admin privileges and run the commands from the project folder: to create a new environment with basic dependencies:

conda env create -f .\environment.yml

to activate the environment:

conda activate tdvisu

Install from source

To clone the complete repository:

git clone https://github.com/VaeterchenFrost/tdvisu

To download only the latest version from the default branch:

git clone --depth 1 --single https://github.com/VaeterchenFrost/tdvisu

To install the project from the source folder:

pip install -h (for more information on install options)
pip install .

to confirm that the visualization finds all dependencies:

python .\tdvisu\visualization.py -h

to run all tests:

pip install .[test] 
pytest .\test\

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How to use

The visualization needs input in the form of the Json API. The creation of this file is exemplary implemented in construct_dpdb_visu.py or the fork GPUSAT and --visufile filename (optionally disabling preprocessing with -p).

Run the python file with the above dependencies installed: visualization.py

visualization.py takes two parameters, the json-infile to read from, and optionally one outputfolder. With both arguments a call from IPython might look like this:

runfile('visualization.py', 
args='visugpusat.json examplefolder')

For #SAT it produces for example three different graphs suffixed with a running integer to represent timesteps:

• TDStep the tree decomposition with solved nodes
• PrimalGraphStep the primal graph with currently active variables highlighted
• IncidenceGraphStep the bipartite incidence graph with active clauses/variables highlighted

The graphs are images encoded in resolution independent .svg files (see https://www.lifewire.com/svg-file-4120603)

How to use construct_dpdb_visu.py

After installing the project dp_on_dbs with the there listed requirements, we need to

• edit the database.ini with our password to postgresql
• Solve a problem with python dpdb.py [GENERAL-OPTIONS] -f <INPUT-FILE> <PROBLEM> [PROBLEM-SPECIFIC-OPTIONS]
  • for the problem VertexCover
    • with flag --gr-file to store the htd Input (if the input was in a different format)
  • for the problem SharpSat
    • with flag --store-formula to store the formula in the database
• Run
  • SharpSat: python construct_dpdb_visu.py [PROBLEMNUMBER]
  • VertexCover: python construct_dpdb_visu.py [PROBLEMNUMBER] --twfile [TWFILE] with the file in DIMACS tw-format containing the edges of the graph.

Installation of the psycopg2 package

See https://www.psycopg.org/docs/install.html#build-prerequisites

For example on linux today this might need sudo apt install libpq-dev before completion.

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New Release

Version

• Bump /version.py according to the changes made
• Change date to the release day, keep format

Requirements

In case dependencies have changed, or just to update some, check

• requirements.txt
• stable-requirements.txt (using pip freeze)
• setup.py

Write Changelog.md

• Add tag with link (see bottom for linking examples)
• Add changes, maybe some are already in Unreleased
• Update Unreleased with (No) unreleased changes

Review code

• Run tests (pytest)
• Check codestyle (pylint)

Push

• Push changes to master
• Wait for all automated checks! (All checks have passed...)

Create Release

• On the GitHub page go to: Release, Draft a new release
• Enter v'YOUR VERSION NUMBER' as the tag.
• Add a Release Title (could be just the version)
• Add some description (like in the CHANGELOG.md)
• Click on Publish release on the bottom

Should automatically release to PyPI

• For details see: Upload Python Package

Now you are set for the new release :tada:

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

Unreleased

• No unreleased changes yet.

[1.1.5] - 2020-07-17

Added

• Added many new tests.
• Hints for not covered code lines.

Changed

• Simplified code to parse commandline flags while removing duplications in code.
• Entrypoint for modules visualization and construct_dpdb_visu is now in init().
• Some improvements in utilities.solution_node

1.1.4 - 2020-07-14

Added

• Added the possibility to specify and create multiple graph-visualizations in one file #25
• Added test case test_vc_multiple_and_join in commit aa31901
• Added test cases for construct_dpdb_visu
• Add pytest-mock to tests_require

Changed

• Simplified and refactored TDVisu.schema.json
• Schema now includes possibility to specify multiple instances of generalGraph and incidenceGraph
• Revisited doc/JsonAPI.md to now include all parameters available
• Renamed test folder expected_images to expected_files
• Updated stable-requirements.txt
• Several minor improvements

1.1.3 - 2020-07-09

Added

• Added TDVisu.schema.json to validate the Json-API for TDVisu #24
• Added 'col' to allowed formats in tw reader (default string in Mathematica)

Changed

• Fixed error where database configuration was not found in the directory
• Fixed missing double quotation marks in JsonAPI.md
• Moved JsonAPI.md → doc/JsonAPI.md

Removed

• Removed generalGraph and incidenceGraph from required arguments in API

1.1.2 - 2020-06-26

Added

• Tests for visualization.py using graphviz in the Github Action too
• Tests for reader.py

Changed

• Fixed typo that prevented joining SVG in visualization
• Fixed cases where logging.yml was not found in the working directory
• Now using pathlib.Path for most file-related operations
• Unified logging configuration in utilities and made it easier to work with #22
• Added more type hints and improved existing ones

1.1.1 - 2020-06-25

Added

• Added problem type Sat to tdvisu/construct_dpdb_visu.py
• Added testcases in file test/test_dijkstra.py

Changed

• JsonAPI.md is now updated with snake_case names and consistent with visualization_data.py
• Fixed default value for svg-join v_top to None from 'top'
• Improved flexibility in several function parameters
• Improved documentation and comments in several places
• Fixed passing parameters to method setup_tree_dec_graph

Removed

• Removed old dependency from tdvisu/dijkstra.py on utilities

1.1.0 - 2020-06-07

Added

• Added file utilities.py with several static or shared things like

  • Constants: CFG_EXT, LOGLEVEL_EPILOG, DEFAULT_LOGGING_CFG
  • Methods:
    • flatten
    • read_yml_or_cfg combining yaml, json, cfg reader in one
    • logging_cfg configure logging with file or DEFAULT_LOGGING_CFG
    • helper convert_to_adj from dijkstra.py
    • add_edge_to (edges and adj list)
    • gen_arg infinite Generator
  • Styles:
    • base_style, emphasise_node, style_hide_node, style_hide_edge
  • Graph manipulation:
    • bag_node
    • solution_node

• Added file logging.yml (and .ini) with logging configuration for the module #20

• Added half the tests for utilities.py

Changed

• Changed path of image SharpSatExample to the absolute URL for PyPI.
• Changed names of loggers to absolute name. Should be easy to adjust if needed.
• Changed logging defaults and config in tdvisu/visualization.py and construct_dpdb_visu.py
• Updated ArgumentParser help
• Some fixes of code-style or variable names.

1.0.1 - 2020-06-04

Added

• Codecoverage with Codecov

Changed

• Changed path of image SharpSatExample to the absolute URL for PyPI.

1.0.0 - 2020-06-04

Added

• Added svgjoin parameters to JsonAPI #6
• Added call to svgjoin from visualization.py
• Added workflow to display the sourcecode-files in DIRECTORY

Changed

• Moved JsonAPI and conda_packages to /doc
• Updated arguments in svgjoin to be more flexible for multiple joins #11
• Fixed scaling mechanism in svgjoin #13
• Changed tests from unittest to pytest #12

Removed

• Changelog in JsonAPI.md

0.5.1 - 2020-06-01

Added

• Added publishing Action to PyPI #4

Changed

• Changed setup.py with more documentation and simpler functionality.
• Updated Readme with a guide on how to use construct_dpdb_visu #2

Removed

• Removed publishing Action to testpypi #4

0.5.0-dev1 - 2020-06-01

Added

• Development version; beginning of the repository #1
• Added version.py
• Added module-name to imports
• Added README to tdvisu directly

Changed

• Fixed usage of __version__ in tdvisu/construct_dpdb_visu.py

Removed

• Removed individual versioning