import sys sys.path.append('../ccmsuite') import ccm ccm.run('accuracy_v2', 5, N=[1000], states=['b', 'bv', 'bp', 'bvp'], S=[500, 1000, 1500, 2000, 2500, 3000, 3500, 4000, 4500, 5000])
import ccm ccm.run('paired',20,threshold=[-1.25,-1.75,-2.25,-2.75])
import ccm ccm.run('paired',20,threshold=[-1.8,-1.9,-2,-2.1,-2.2],latency=[0.3,0.325,0.35,0.375,0.4])
import sys sys.path.append('.') import ccm ccm.run('cliff/discrete_cliff', 10, goal_reward=[-1, 0, 1, 10, 100])
import ccm ccm.run('paired',20,threshold=-2,latency=[0.3,0.35,0.4,0.45])
import ccm ccm.run('paired',20,threshold=[-1,-1.5,-2,-2.5])
import ccm ccm.run('paired', 20, threshold=[-1.6, -1.7], latency=[0.3, 0.325, 0.35, 0.375, 0.4])
import ccm ccm.run('paired',50)
import sys sys.path.append('../ccmsuite') import ccm ccm.run('accuracy_v', 5, N=[10, 20, 50, 100, 200, 500, 1000, 2000], states=['b', 'bv', 'bp', 'bvp'])
import ccm ccm.run('paired', 50)
import ccm ccm.run('paired.py', 50)
import sys sys.path.append('.') import ccm ccm.run('cliff/discrete_cliff',10, goal_reward=[-1, 0, 1, 10, 100])
import ccm ccm.run('paired', 20, threshold=[-1, -1.5, -2, -2.5])
df.party = df.party.apply(lambda x: "democrat" if x in { "democratic-farmer-labor", "democratic-npl", "democrat&republican" } else x) #### Data processing #### print() print("Upper Chammber State Legislature Elections") UPPER_OFFICES = ["State Senator", "State Senate"] upper_df = df[df["office"].isin(UPPER_OFFICES)] upper_name = "upper-chammber-state-legislature-elections-2018" upper_exclusion_dict = { "No general election": {"VA", "MS", "LA", "NJ", "NM", "SC"}, "Multi-member districts": {"VT"}, "Unicameral exclusion": {"NE"}, } ccm.run(upper_df, upper_name, fix_upper_chamber, upper_exclusion_dict) print() print("Lower Chamber State Legislature Elections") LOWER_OFFICES = [ "State Representative", "State Legislature", "State House Delegate", "State Representative Pos. 1", "State Representative Pos. 2", "State Assembly Member", "State House, Representative A", "State House, Representative B", "General Assembly", "State Assembly Representative", "House of Delegates Member",
import ccm ccm.run('paired',20,threshold=[-1.6,-1.7],latency=[0.3,0.325,0.35,0.375,0.4])
import ccm ccm.run("paired", 20, threshold=[-1, -1.5, -2, -2.5])