We known that in Javascript, we can use the toString(16) to convert an integer to its hexadecimal representation. That works even for float numbrs, for example,
1 2 3 4 5 6 | (0.5).toString(16) "0.8" (1.5).toString(16) "1.8" (0.3).toString(16) "0.4ccccccccccccc" |
(0.5).toString(16) "0.8" (1.5).toString(16) "1.8" (0.3).toString(16) "0.4ccccccccccccc"
In python, you can do this using the following function FloatToHex that will print at most (by default) 16 decimal places in hexadecimal form.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | import sys def FloatToHex(x, k = 16): if x < 0: sign = "-" x = -x else: sign = "" s = [sign + str(int(x)) + '.'] x -= int(x) for i in range(k): y = int(x * 16) s.append(hex(y)[2:]) x = x * 16 - y return ''.join(s).rstrip('0') if __name__ == "__main__": print(FloatToHex(float(sys.argv[1]))) |
import sys
def FloatToHex(x, k = 16):
if x < 0:
sign = "-"
x = -x
else:
sign = ""
s = [sign + str(int(x)) + '.']
x -= int(x)
for i in range(k):
y = int(x * 16)
s.append(hex(y)[2:])
x = x * 16 - y
return ''.join(s).rstrip('0')
if __name__ == "__main__":
print(FloatToHex(float(sys.argv[1])))Examples:
# python3 FloatToHex.py 0.5 0.8 # python3 FloatToHex.py 0.6 0.99999999999998 # python3 FloatToHex.py 0.3 0.4ccccccccccccc # python3 FloatToHex.py 2.3 2.4cccccccccccc # python3 FloatToHex.py -2.3 -2.4cccccccccccc
The complexity is O(1) if we consider the string manipulation is also O(1) and the hex function in Python runs at O(1) constant.
python
–EOF (The Ultimate Computing & Technology Blog) —
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