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Aragon_Conviction_Voting
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technical narrative tweaks

This commit is contained in:
Andrew Clark 2020-08-17 16:13:14 -04:00
parent 64b69e42a6
commit d635aacf7c
7 changed files with 301 additions and 246 deletions
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267
models/v3/.ipynb_checkpoints/Aragon_Conviction_Voting_Model-checkpoint.ipynb
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models/v3/Aragon_Conviction_Voting_Model.ipynb
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models/v3/model/parts/system.py
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@ -1,4 +1,3 @@
import numpy as np import numpy as np
import pandas as pd import pandas as pd
from .utils import * from .utils import *
@ -27,7 +26,6 @@ def driving_process(params, step, sL, s):
candidate_subgraph = s['network'].subgraph(subgraph_nodes) candidate_subgraph = s['network'].subgraph(subgraph_nodes)
supporters = get_edges_by_type(candidate_subgraph, 'support') supporters = get_edges_by_type(candidate_subgraph, 'support')
#len_parts = len(participants)
available_supply = s['total_supply']-s['effective_supply'] available_supply = s['total_supply']-s['effective_supply']
expected_holdings = .01*available_supply expected_holdings = .01*available_supply
@ -62,14 +60,6 @@ def driving_process(params, step, sL, s):
funds = s['funds'] funds = s['funds']
scale_factor = funds*sentiment**2/10000 scale_factor = funds*sentiment**2/10000
# if scale_factor <1:
# scale_factor = 1
#this shouldn't happen but expon is throwing domain errors
# if sentiment>.4:
# funds_arrival = expon.rvs(loc = 0, scale = scale_factor)
# else:
# funds_arrival = 0
return({'new_participant':new_participant, #True/False return({'new_participant':new_participant, #True/False
'new_participant_holdings':new_participant_holdings, #funds held by new participant if True 'new_participant_holdings':new_participant_holdings, #funds held by new participant if True

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models/v3/model/parts/utils.py
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@ -7,8 +7,7 @@ import matplotlib.cm as cmx
import seaborn as sns import seaborn as sns
# note --> alpha is redundant with params since alpha is in params
# we can simplify by removing alpha explicit dependence and just pull it as params['alpha']
def trigger_threshold(requested, funds, supply, alpha, params): def trigger_threshold(requested, funds, supply, alpha, params):
''' '''
Function that determines threshold for proposals being accepted. Function that determines threshold for proposals being accepted.