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48 lines
1.5 KiB
Python
48 lines
1.5 KiB
Python
from itertools import product
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import numpy as np
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def original_position(Nres: int, particle_ID: int):
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particle_k = particle_ID % Nres
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particle_j = ((particle_ID - particle_k) // Nres) % Nres
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particle_i = ((particle_ID - particle_k) // Nres - particle_j) // Nres
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return np.array([particle_i, particle_j, particle_k])
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def upscale_IDs(particle_ID: int, Nres_min: int, Nres_max: int):
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assert Nres_max % Nres_min == 0
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N = Nres_max // Nres_min
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orig = original_position(Nres_min, particle_ID)
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mult = orig * N
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for shift in product(range(N), repeat=3):
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variant = mult + np.array(shift)
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yield ((variant[0] * Nres_max) + variant[1]) * Nres_max + variant[2]
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def downscale_IDs(particle_ID: int, Nres_max: int, Nres_min: int):
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assert Nres_max % Nres_min == 0
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N = Nres_max // Nres_min
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orig = original_position(Nres_max, particle_ID)
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mult = np.floor_divide(orig, N)
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return ((mult[0] * Nres_min) + mult[1]) * Nres_min + mult[2]
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if __name__ == "__main__":
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test_particle = np.array([0, 0, 127])
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# maximum_test = np.array([127, 127, 127]) #this works, Nres - 1 is the maximum for (i,j,k)
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Nres_1 = 128
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Nres_2 = 256
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test_particle_id = ((test_particle[0] * Nres_1) + test_particle[1]) * Nres_1 + test_particle[2]
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print(test_particle_id)
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particle_ID_1_converted = upscale_IDs(test_particle_id, Nres_1, Nres_2)
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for id in particle_ID_1_converted:
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reverse = downscale_IDs(id, Nres_2, Nres_1)
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print(id, reverse)
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assert reverse == test_particle_id
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