import numpy as np
lookup_tables = []
lookup_tables_32 = []

ADC_RESOLUTION = 512
OUTPUT_RESOLUTION = 4096

# linear to exponential conversion

values = []
size = ADC_RESOLUTION
for x in range(1, int(size) + 1):
    values.append(np.power(x / float(ADC_RESOLUTION), 2) * OUTPUT_RESOLUTION)

lookup_tables.append(('linear_to_exp', values))


# Left pan Lookup table

l_pan = np.linspace(0, OUTPUT_RESOLUTION, num=ADC_RESOLUTION)
r_pan = np.linspace(0, OUTPUT_RESOLUTION, num=ADC_RESOLUTION)

l_pan = np.sin((l_pan / OUTPUT_RESOLUTION) * (np.pi / 2.0))
r_pan = np.cos((r_pan / OUTPUT_RESOLUTION) * (np.pi / 2.0))

l_pan = np.round(l_pan * OUTPUT_RESOLUTION)
r_pan = np.round(r_pan * OUTPUT_RESOLUTION)

lookup_tables.append(('left_sin_pan', l_pan))
lookup_tables.append(('right_cos_pan', r_pan))