Better Readne.md
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README.md
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README.md
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@ -19,17 +19,19 @@ I am more than happy helping you install Linux on your machine.
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I recommend using docker and VS Code for setup.
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Also check out the recommended extensions in the Docker section.
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If you prefer to work from Linux or Mac OS X, check the Dockerfile for dependencies.
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Also make sure to have a LLVM13 install.
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And export your LLVM13 install to the `$LLVM_DIR` variable, with:
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```bash
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export LLVM_DIR=path/to/LLVM13
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```
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Some other unrecommended Setups are at the end of this Readme.
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### Setup on a Pool PC
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You will have to use the poolhelber.sh script instead of the normal helper script.
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At first get an IRB account from the following link and log in:
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<https://irb.cs.tu-dortmund.de/cont/de/account/myacc/reservierung/index.html>
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Non Informatics Students: Choose the drop Item "Gast and der Fakultät Informatik"
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I am sorry but this Website is only available in German.
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You will have to use the poolhelper.sh script instead of the normal helper script.
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Get and build llvm from source !!This will take a while!!
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@ -37,7 +39,7 @@ Get and build llvm from source !!This will take a while!!
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./poolhelper.sh llvm
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```
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In case you can not finish building llvm in one Sessionn just abort it and later on run this:
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In case you can not finish building llvm in one Session just abort it and run this at a later point in time:
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```bash
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./poolhelper.sh continuellvm
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@ -49,6 +51,8 @@ Remember to use the poolhelper.sh instead of the helper.sh.
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### VS Code Setup
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This is my personally preferred IDE setup for C/C++ and by no means needed to accomplish this exercise.
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1.) Install VS Code on your Distribution or get it from Microsoft.
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<https://code.visualstudio.com/>
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@ -66,6 +70,121 @@ For a general C/C++ setup of VS Code (I consider good) see:
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Most parts can be skipped, as they are already integrated in this Repo.
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3.) You can auto build by hitting Strg+Shift+B from the IDE.
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4.) Pressing F5 will start a debug session, make sure to set halting points.
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### Setting up Docker
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1.) install docker and VS Code on your Distribution.
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<https://docs.docker.com/get-docker/>
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<https://code.visualstudio.com/>
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For this setup you cannot use the OSS version of VS code or the version from Snap, as the remote development extensions will not work.
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2.) I recommend you install the following extensions in vs code
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clangd,
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Clang-Format,
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CodeLLDB,
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Docker and
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Remote Development
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For a general C/C++ setup of VS Code (I consider good) see:
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<https://ahemery.dev/2020/08/24/c-cpp-vscode/>
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Most of the setup can be skipped
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3.) Use the helper script to build and run a Container
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```bash
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./helper.sh docker
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```
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This will build a docker image and run a Docker container with the current directory mounted.
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The Docker container can later be started from the Docker VS Code extension.
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4.) Attach VS Code to the container, in the Docker Tab, and start developing
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## Debugging
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When you are using VS Code you can simply use the Debugging Tab, I prepared a debug script for you.
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You can also set the following variables in the CacheAnalysisPass/CacheAnalysisPass.cpp file, for more output:
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```cpp
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// Development Options
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bool PrintAddresses = false;
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bool PrintEdges = false;
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bool PrintEdgesPost = false;
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bool DumpToDot = false;
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bool DumpNodes = false;
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```
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Helpful to understand what the program does but not very so much for the actual exercise.
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## Use the Helper script
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Again if you work on a Pool PC use poolhelper.sh insted of the helper.sh script.
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### Initial Setup
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```bash
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./helper.sh all
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```
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To get a list of what the helper script can do simply type
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```bash
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./helper.sh
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```
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### Run
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Run the pass on a single test.
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fft1 is recommended during development.
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```bash
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./helper.sh run fft1
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```
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### Eval
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Runs the Pass on a set of tests and also prints the expected results.
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This will be used to measure correctness of you implementation.
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```bash
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./helper.sh eval
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```
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## Use the Terminal (Obsolete if script is used)
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This section is not needed, fi you are using the script but for the sake of completeness it is provided anyways.
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Initial Setup:
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```bash
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mkdir build
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cd build
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cmake -DLT_LLVM_INSTALL_DIR=$LLVM_DIR ../CacheAnalysisPass/
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make
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cd ..
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```
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Run:
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```bash
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opt -load-pass-plugin build/libCacheAnalysisPass.so \
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-passes=lru-misses test/crc.ll
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```
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## Alternative Setups
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These Setups are alternatives and I do not recommend them.
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These are here in case you want to "play around" with the Code and LLVM.
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### Installing LLVM 13 on Mac OS X
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On Darwin you can install LLVM 13 with [Homebrew](https://brew.sh/):
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@ -120,105 +239,3 @@ For more details read the [official
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documentation](https://llvm.org/docs/CMake.html).
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This will install all the required header files, libraries and tools in `your/llvm/build/path`.
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### Setting up Docker
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1.) install docker and VS Code on your Distribution.
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<https://docs.docker.com/get-docker/>
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<https://code.visualstudio.com/>
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For this setup you cannot use the OSS version of VS code or the version from Snap, as the remote development extensions will not work.
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2.) I recommend you install the following extensions in vs code
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clangd,
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Clang-Format,
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CodeLLDB,
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Docker and
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Remote Development
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For a general C/C++ setup of VS Code (I consider good) see:
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<https://ahemery.dev/2020/08/24/c-cpp-vscode/>
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Most of the setup can be skipped
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3.) Use the helper script to build and run a Container
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```bash
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./helper.sh docker
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```
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This will build a docker image and run a Docker container with the current directory mounted.
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The Docker container can later be started from the Docker VS Code extension.
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4.) Attach VS Code to the container, in the Docker Tab, and start developing
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## Debugging
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When you are using VS Code you can simply use the Debugging Tab, I prepared a debug script for you.
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You can also set the following variables in the CacheAnalysisPass/CacheAnalysisPass.cpp file, for more output:
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```cpp
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// Development Options
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bool PrintAddresses = false;
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bool PrintEdges = false;
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bool PrintEdgesPost = false;
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bool DumpToDot = false;
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bool DumpNodes = false;
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```
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## Use the Helper script
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### Initial Setup
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```bash
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./helper.sh all
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```
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To get a list of what the helper script can do simply type
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```bash
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./helper.sh
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```
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### Run
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Run the pass on a single test.
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fft1 is recommended during development.
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```bash
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./helper.sh run fft1
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```
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### Eval
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Runs the Pass on a set of tests and also prints the expected results.
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This will be used to measure correctness of you implementation.
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```bash
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./helper.sh eval
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```
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## Use the Terminal (Obsolete if script is used)
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This section is not needed, fi you are using the script but for the sake of completeness it is provided anyways.
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Initial Setup:
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```bash
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mkdir build
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cd build
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cmake -DLT_LLVM_INSTALL_DIR=$LLVM_DIR ../CacheAnalysisPass/
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make
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cd ..
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```
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Run:
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```bash
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opt -load-pass-plugin build/libCacheAnalysisPass.so \
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-passes=lru-misses test/crc.ll
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```
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@ -187,6 +187,8 @@ case $1 in
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echo "Unknown argument: $1"
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fi
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echo "Please provide one of the following arguments:"
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echo " llvm Build LLVM from source"
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echo " llvmcontinue Contionue building llvm where you left off last time"
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echo " clean Deletes the build folder"
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echo " config Creates build folder and configures build System"
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echo " docker Build and Run Docker container for development"
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