46 lines
1.8 KiB
Markdown
46 lines
1.8 KiB
Markdown
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# Ordering Experiments: Analysis Tools
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This Python project contains scripts to draw plots and tables from the results of the [ordering experiments](../ordering).
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## Prerequisites
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- Python 3
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- Installing dependencies
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```bash
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python3 -m venv .venv
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source .venv/bin/activate
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pip isntall -r requirements.txt
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```
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## Usages
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### Analyzing the latency results
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The following command draws plots and tables from the latency results of the ordering experiments.
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```bash
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python latency.py <aggregated_csv_path> <output_dir>
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```
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- `aggregated_csv_path`
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- A path to a CSV file that contains all statistical results of all experiments that must be shown in the plot and table.
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- This script expects that the CSV file has at least the following columns.
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- `paramset` (int): Parameter Set ID
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- `queue_type` (str): Queue Type (NonMix, PureCoinFlipping, ...)
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- `latency_min`, `latency_mean` and `latency_max` (float)
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- `output_dir` A directory path where all PNG files of plots and tables are stored in
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### Analyzing the ordering coefficient results
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The following command draws plots and tables from the ordering coefficient results of the ordering experiments.
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```bash
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python coeff.py <aggregated_csv_path> <output_dir>
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```
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- `aggregated_csv_path`
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- A path to a CSV file that contains all statistical results of all experiments that must be shown in the plot and table.
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- This script expects that the CSV file has at least the following columns.
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- `paramset` (int): Parameter Set ID
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- `queue_type` (str): Queue Type (NonMix, PureCoinFlipping, ...)
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- `strong_coeff_min`, `strong_coeff_mean` and `strong_coeff_max` (float)
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- `casual_coeff_min`, `casual_coeff_mean` and `casual_coeff_max` (float)
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- `weak_coeff_min`, `weak_coeff_mean` and `weak_coeff_max` (float)
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- `output_dir` A directory path where all PNG files of plots and tables are stored in
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