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README.md
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README.md
@ -13,6 +13,7 @@ translate Python code into JavaScript.
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The current online version is available at https://www.carstengrohmann.de/oom/ .
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The current online version is available at https://www.carstengrohmann.de/oom/ .
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## Installation
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## Installation
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Installing OOMAnalyser is quite easy since OOMAnalyser consists only of two files, a
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Installing OOMAnalyser is quite easy since OOMAnalyser consists only of two files, a
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@ -40,12 +41,13 @@ without an Internet connection.
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### Prepare the build environment
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### Prepare the build environment
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* Clone the repository:
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* Clone the repository:
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```
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```
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# git clone https://github.com/CarstenGrohmann/OOMAnalyser
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# git clone https://github.com/CarstenGrohmann/OOMAnalyser
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```
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```
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* Setup the Python virtual environment:
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* Setup the Python virtual environment:
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```
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```
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# virtualenv env
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# virtualenv env
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# . env/bin/activate
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# . env/bin/activate
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# env/bin/pip install -Ur requirements.txt
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# env/bin/pip install -Ur requirements.txt
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or
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or
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# make venv
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# make venv
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```
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```
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### Build OOMAnalyser
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### Build OOMAnalyser
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```
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```
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# . env/bin/activate
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# . env/bin/activate
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# transcrypt --build --map --nomin -e 6 OOMAnalyser.py
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# transcrypt --build --map --nomin -e 6 OOMAnalyser.py
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```
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```
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### Usage
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### Usage
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* Change into the source directory and start your own small web server.
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* Change into the source directory and start your own small web server.
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* Start Python built-in web server:
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* Start Python built-in web server:
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```
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```
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# python3 -m http.server 8080 --bind 127.0.0.1
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# python3 -m http.server 8080 --bind 127.0.0.1
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or
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or
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# make websrv
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# make websrv
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```
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```
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* Open the URL http://localhost:8080/OOMAnalyser.html in your favorite browser.
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* Open the URL http://localhost:8080/OOMAnalyser.html in your favorite browser.
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## Resources
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## Resources
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