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Currently job artifacts in CI/CD pipelines on LRZ GitLab never expire. Starting from Wed 26.1.2022 the default expiration time will be 30 days (GitLab default). Currently existing artifacts in already completed jobs will not be affected by the change. The latest artifacts for all jobs in the latest successful pipelines will be kept. More information: https://gitlab.lrz.de/help/user/admin_area/settings/continuous_integration.html#default-artifacts-expiration

Commit 8d881a86 authored by Moritz Klischat's avatar Moritz Klischat
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updated paths

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README.md
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......@@ -36,7 +36,7 @@ Later in the Jupyter Notebook, you should select this kernel so that everything
This software has three main dependencies to install.
### 1. CommonRoad
Go to folder /primitive_planner/commonRoad_root/tools/commonroad_io/Python and install the commonroad environment:
Go to folder commonRoad_root/tools/commonroad_io/Python and install the commonroad environment:
```sh
$ conda install networkx
$ python setup.py install
......@@ -44,14 +44,14 @@ Go to folder /primitive_planner/commonRoad_root/tools/commonroad_io/Python and i
### 2. CommonRoad-Collision-Checker
Go to folder /primitive_planner/commonRoad_root/tools/commonroad-collision-checker/ and follow the Readme file.
Go to folder commonRoad_root/tools/commonroad-collision-checker/ and follow the Readme file.
### 3. Boundary
Go to folder /primitive_planner/commonRoad_root/tools/ and follow the Readme file. Alternatively, you can also use the second method suggested in the troubleshoot.
Go to folder commonRoad_root/tools/ and follow the Readme file. Alternatively, you can also use the second method suggested in the troubleshoot.
## How to use
Go to /primitive_planner/motionAutomata/notebooks and start Jupyter:
Go to motionAutomata/notebooks and start Jupyter:
```sh
$ jupyter notebook
```
......@@ -66,13 +66,13 @@ In case that the jupyter widget is not working (section: Visualize planned traje
## Implement your own search algorithm
Go to /primitive-planner/motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
Go to motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
```python
def search_alg(self, startSuccessor, maxTreeDepth, status)
```
There are already 2 search algorithms (A star and Greedy-best-first search) implemented as examples for you. Please check the first cell of the notebook to see how to use them.
There are already 2 search algorithms (A star and Greedy-best-first search) implemented as examples for you. Please check the first cell of the notebook to see how to use them.
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motionAutomata/docs/build/html/_sources/install/index.rst.txt
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......@@ -103,7 +103,7 @@ In case that the jupyter widget is not working (section: Visualize planned traje
Implement your own search algorithm
====================================
Go to /primitive-planner/motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
Go to motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
.. code-block:: python
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motionAutomata/docs/build/html/install/index.html
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</div>
<div class="section" id="implement-your-own-search-algorithm">
<h2>Implement your own search algorithm<a class="headerlink" href="#implement-your-own-search-algorithm" title="Permalink to this headline"></a></h2>
<p>Go to /primitive-planner/motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:</p>
<p>Go to motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:</p>
<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="k">def</span> <span class="nf">search_alg</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">startSuccessor</span><span class="p">:</span> <span class="n">List</span><span class="p">[</span><span class="n">MotionPrimitive</span><span class="p">],</span> <span class="n">maxTreeDepth</span><span class="p">:</span> <span class="nb">int</span><span class="p">,</span> <span class="n">status</span><span class="p">:</span> <span class="nb">dict</span><span class="p">)</span>
</pre></div>
</div>
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motionAutomata/docs/source/install/index.rst
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......@@ -103,7 +103,7 @@ In case that the jupyter widget is not working (section: Visualize planned traje
Implement your own search algorithm
====================================
Go to /primitive-planner/motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
Go to motionAutomata/Automata and open MotionPlanner.py. Insert the search algorithm of your choice in the function:
.. code-block:: python
......
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