Lucas Oskorep
70 lines
1.7 KiB
Python
70 lines
1.7 KiB
Python
import numpy as np
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import struct
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import pandas as pd
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import beacontools
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from beacontools import parse_packet
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from converters import BinToFloat, BinToInt
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from numpy import dtype
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from bitstring import BitArray
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test = b"5\x01\'\x02\xfd\x02/\x02e\x01%\xfd8\xc8Xn<\xc3"
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print(BitArray(test).bin[:1])
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def chunker(seq, size):
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return (seq[pos:pos + size] for pos in range(0, len(seq), size))
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def test_bin_float_converstion():
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val = 100
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test = struct.pack(">f", val)
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binary = float_to_bin(val)
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print(binary)
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print(BinToFloat().process(test))
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print(struct.unpack(">f", test))
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print(BinToFloat().process(test, True))
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print(struct.unpack("f", test))
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def test_bin_int_converstion():
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print()
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val = 100
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print("VAL IS ", val)
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test = struct.pack("i", val)
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binary = float_to_bin(val)
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print(binary)
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print(BinToInt().process(test))
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print(struct.unpack("i", test))
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print(BinToInt().process(test, True))
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print(struct.unpack(">i", test))
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print()
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val = -100
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print("VAL IS ", val)
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test = struct.pack("i", val)
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binary = float_to_bin(val)
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print(binary)
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print(BinToInt().process(test))
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print(struct.unpack("i", test))
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print(BinToInt().process(test, True))
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print(struct.unpack(">i", test))
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def float_to_bin(num):
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return format(struct.unpack('!I', struct.pack('!f', num))[0], '032b')
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def convert_row_to_bytes(row):
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row = b"".join([struct.pack("h", x) for x in row])
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b2i = BinToInt(48)
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converted = [b2i.process(x, True)/10**14 for x in chunker(row, 6)]
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print(converted,sum(converted))
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data = pd.read_csv("accelerometer.data")
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# test_bin_float_converstion()
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# test_bin_int_converstion()
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for index, row in data.iterrows():
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convert_row_to_bytes(row)
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