This package can be installed with pip as follows:
- ::
git clone https://github.com/nibalizer/replay_processing cd replay_processing pip install -U replay_processing
The use of a virtualenv is recommended.
- The ggtracker fork of sc2reader (https://github.com/ggtracker/sc2reader)
- spawningtool (https://github.com/StoicLoofah/spawningtool)
- A folder named 'replays' with .SC2Replay files inside
#### --replay_folder (-R): Path to directory we want to pull replay data from #### --max_replays (-M): Maximum number of replay files to parse (should be int) #### --all_matches (-a) [NOT IMPLEMENTED YET]: if set, parses all replays not just 1v1 matchups #### --verbose (-v): Print all output if set
### If you want to time this function:
- ::
time replayscan | tee starcraft_data.csv
- 5m27.043s run time on 600 replays at adb4c2b952052fbbc92565440d4bb0b30d70aeb3
- 11m48.872s run time on 1600 replays at c1532d4dc5004357928fd141ce5cc78a5bbdddc6
Upload this data to Watson Analytics( https://watson.analytics.ibmcloud.com/)
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