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