Precision auto-tuning of floating-point variables in program
Project description
Install
To install cadnaPromise, simply use the pip command in terminal:
pip install cadnaPromise
after that, to activate the cadnaPromise, use the command in terminal:
init-promise
Check the if cadnaPromise is installed:
promise --version
Dependencies
The installation of cadnaPromise requires the the following Python libraries: colorlog, colorama, pyyaml, regex.
The compiling of cadnaPromise requires g++. Please ensure the installation of above libraries for a proper running of cadnaPromise.
Usage
In terminal, simply enter the command bellow:
promise -h | --help promise (hsd|hs|sd) [options]
Options:
--help Show this screen. --conf CONF_FILE get the configuration file [default: promise.yml] --output OUTPUT set the path of the output (where the result files are put) --verbosity VERBOSITY set the verbosity (betwen 0 and 4 for very low level debug) [default: 1] --log LOGFILE set the log file (no log file if this is not defined) --verbosityLog VERBOSITY set the verbosity of the log file --debug put intermediate files into debug/ (and compileErrors/ for compilation errrors) and display the execution trace when an error comes --run RUN file to be run --compile COMMAND command to compile the code --files FILES list of files to be examined by Promise (by default, all the .cc files) --nbDigits DIGITS general required number of digits --path PATH set the path of the project (by default, the current path) --pause do pause between steps --noParsing do not parse the C file (__PROMISE__ are replaced and that's all) --alias ALIAS allow aliases (examples "g++=g++-14") [default:""] --version show the version of cadnaPromise
Acknowledgements
cadnaPromise is based on Promise2 (Hilaire et al), a full rewriting of the first PROMISE version (Picot et al).
This work was supported by the France 2030 NumPEx Exa-MA (ANR-22-EXNU-0002) project managed by the French National Research Agency (ANR). Promise2 has been developed with the financial support of the COMET project Model-Based Condition Monitoring and Process Control Systems, hosted by the Materials Center Leoben Forschung GmbH.
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