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.ipynb_checkpoints
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f87435f9ff
[research/lotterysim] miscel changes
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3 years ago |
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Makefile
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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README.md
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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README.pdf
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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auto_crawler.py
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f87435f9ff
[research/lotterysim] miscel changes
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3 years ago |
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auto_crawler_takahashi.py
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f87435f9ff
[research/lotterysim] miscel changes
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3 years ago |
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avg_instance.py
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b6727d8c12
[research/lotterysim] staked_tokens/accuracy curve
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3 years ago |
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constants.py
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8a902ae68f
[research/lotterysim] revert reward to 1
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3 years ago |
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crawler.py
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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darkie.py
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131bf0c901
[research/lotterysim] apy
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3 years ago |
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draw.py
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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elbow.py
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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f_history_processed.png
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f87435f9ff
[research/lotterysim] miscel changes
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3 years ago |
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gains.txt
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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heuristics.png
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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highest_gain.txt
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b6727d8c12
[research/lotterysim] staked_tokens/accuracy curve
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3 years ago |
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highest_gain_takahashi.txt
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f87435f9ff
[research/lotterysim] miscel changes
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3 years ago |
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instance.py
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131bf0c901
[research/lotterysim] apy
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3 years ago |
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lead_history_processed.png
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f87435f9ff
[research/lotterysim] miscel changes
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3 years ago |
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lottery.py
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b6727d8c12
[research/lotterysim] staked_tokens/accuracy curve
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3 years ago |
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lottery_dist.png
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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main.py
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f87435f9ff
[research/lotterysim] miscel changes
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3 years ago |
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one_year_reward.py
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131bf0c901
[research/lotterysim] apy
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3 years ago |
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pallas_unittests.csv
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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pid.py
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f87435f9ff
[research/lotterysim] miscel changes
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3 years ago |
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playground.ipynb
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f87435f9ff
[research/lotterysim] miscel changes
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3 years ago |
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plot_sim_vs_darkfi_distribution.py
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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sigmas_test_samples.py
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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stake.png
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b6727d8c12
[research/lotterysim] staked_tokens/accuracy curve
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3 years ago |
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stake_reward.py
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131bf0c901
[research/lotterysim] apy
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3 years ago |
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stake_rewards.txt
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131bf0c901
[research/lotterysim] apy
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3 years ago |
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stats
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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takahashi.py
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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takahashi_gains.txt
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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takahashi_instance.py
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0b07b3dee6
[research/lotterysim] scaling to 1k,10k,100k,1m nodes with same accuracy
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3 years ago |
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utils.py
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131bf0c901
[research/lotterysim] apy
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3 years ago |