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A proof-of-concept proposal for turning standard Rubik's Cubes into smartcubes by embedding speakers into the cube's centercaps.
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2.0 kB · 44 lines
Python
at commit 14f944db
123456789101112131415161718192021222324252627282930313233343536373839404142434445from AuditorySupercube import AuditorySupercubefrom fuzzywuzzy import process, fuzzimport matplotlib.pyplot as pltimport os
given_alg = "U U U U D D D D R R R R L L L L F F F F B B B B"# given_tps = 2# a_cube.apply_alg(given_alg, given_tps, simulation=True)# a_cube.play_simulation(silent=True)csv = open(f"csv/data.csv", "a")csv.write("file_name,window_size,stdv,alt_min,received_alg,similarity\n")for (root, dirs, files) in os.walk('resources/sounds'): for file in files: for window_size in (range(1, 11)): # + range(10, 201, 30)): for stdv in range(25, 301, 25): for alt_min in range(50, 551, 100): a_cube = AuditorySupercube(f'test_sounds/{file}', window_size, stdv / 100, alt_min) a_cube.log.info(f"Starting analysis with window size: {window_size}, stdv: {stdv/100}, alt min: {alt_min}") received_alg = a_cube.extract_alg_from_audio() similarity = fuzz.ratio(received_alg, given_alg) a_cube.log.info(f"Given Alg: {given_alg}\nReceived Alg: {received_alg}") a_cube.log.info(f"Similarity: {similarity}%") a_cube.log.info("MATCH!" if given_alg.strip() == received_alg.strip() else "MISMATCH :(") a_cube.log.info(f"Finished analysis with window size: {window_size}, stdv: {stdv/100}, alt min: {alt_min}") a_cube.log.save_to_disk() csv.write(f"{file},{window_size},{stdv/100},{alt_min},{received_alg},{similarity}\n") csv.flush()csv.close()
# pos = AuditorySupercube()# pos.transmitAlg("U U U U D D D D R R R R L L L L F F F F B B B B", 1.5)# pos.playSound()# pos.parseAlg("U U U U", 2)# pos.playSound()# pos.parseAlg("D D D D", 2)# pos.playSound()# pos.parseAlg("R R R R", 2)# pos.playSound()# pos.parseAlg("L L L L", 2)# pos.playSound()# pos.parseAlg("F F F F", 2)# pos.playSound()# pos.parseAlg("B B B B", 2)# pos.playSound()