Create the output and run the model
Finally, we can create the output to catch all created data variables and run the model afterwards.
In order to run the model, we will have to write credmark-dev run contrib.ape-count
The contrib.ape count is the model that uses -i '{"block_number": XXXX}'
to pass in the input and use -j
to pretty print the output.
Note: In Windows native (non-WSL), you need double double-quotes `-i
'{""block_number"": XXXX}.
🥳 Congratulations! You finished your first model! 🥳
For all patient reader, the model source is available is https://github.com/credmark/credmark-models-py/blob/main/models/contrib/kunlun/example_count.py
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