Clean up time series initialization

[SeanMcOwen]

• [ ] zero_timeseries = np.zeros(TIMESTEPS * 10) in params.py
• [ ] In params.py...

L1_INTER_SHOCK_AMPLITUDE = 100 # Amplitude of wave L1_INTER_SHOCK_PERIOD = 10 # Period of wave num_points = (TIMESTEPS - final_time) - initial_time t = np.arange(initial_time, initial_time + num_points)

raw_shock_signal = ( L1_INTER_SHOCK_AMPLITUDE np.sin(2 np.pi * t / L1_INTER_SHOCK_PERIOD)

• L1_INTER_SHOCK_AMPLITUDE ) L1_INTER_SHOCK_SIGNAL = np.array([floor(max(x, 1)) for x in raw_shock_signal])

intermit_shock_gas_fee_l1_time_series = np.zeros(TIMESTEPS) intermit_shock_gas_fee_blob_time_series = np.zeros(TIMESTEPS)

intermit_shock_gas_fee_l1_time_series[0:initial_time] = steady_gas_fee_l1_time_series[ 0:initial_time ].copy() intermit_shock_gas_fee_l1_time_series[-final_time:] = steady_gas_fee_l1_time_series[ -final_time: ].copy() intermit_shock_gas_fee_l1_time_series[initial_time : TIMESTEPS - final_time] = ( steady_gas_fee_l1_time_series[initial_time : TIMESTEPS - final_time].copy()

• L1_INTER_SHOCK_SIGNAL )
  • [ ] build_censor_series_from_role