I need to simulate a piece of hardware that generates binary files where each word is 10 bits. How can I achieve this with a numpy array?
Something like:
outarray = np.zeros(512, dtype=np.int10)
Thanks!
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No, numpy does not support a 10-bit integer type, if that is what you are asking.juanpa.arrivillaga– juanpa.arrivillaga2018-02-23 18:33:58 +00:00Commented Feb 23, 2018 at 18:33
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1You can construct 16-bit arrays and just ignore the top 6 bits.Mad Physicist– Mad Physicist2018-02-23 18:39:02 +00:00Commented Feb 23, 2018 at 18:39
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OK, so to clarify: What I need at the end is a binary file where each value is 10 bits. Is there a way to do this? So if I have 100 values I need the file to be 1000 bits long at the end of the day to match the hardware.Alex– Alex2018-02-23 18:44:04 +00:00Commented Feb 23, 2018 at 18:44
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So, is your question about 10 bit operations or 10 bit output data (or both)?JohanL– JohanL2018-02-23 18:56:58 +00:00Commented Feb 23, 2018 at 18:56
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You might find the bitarray package useful.Warren Weckesser– Warren Weckesser2018-02-23 18:56:59 +00:00Commented Feb 23, 2018 at 18:56
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2 Answers
Numpy doesn't have an uint10 type. But you can use uint16, and a bitmask to check for overflow. And use binary_rep to get the 10 bit binary representations:
import numpy as np
MAX_WORD = 2**10
unused_bits = ~np.array([MAX_WORD-1], dtype="uint16") # Binary mask of the 6 unused_bits
words = np.random.randint(MAX_WORD, size=10, dtype="uint16") # Create 10 bit words
assert not np.any(words & unused_bits) # Check for overflow
for word in words:
print(word, np.binary_repr(word, width=10)) # Get 10 bit binary representation
binary_repr = "".join(np.binary_repr(word, width=10) for word in words)
print(binary_repr) # Full binary representation
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Another option you could consider, if you're mainly interested in understanding the accuracy of arithmetic operations on 10-bit numbers, is to use the spfpm package. This will simulate the effect of fixed-point arithemetic operations, including multiplication, division, square-roots, trigonometric functions, etc., but doesn't currently support matrix operations.
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