I want to convert an integer from 0 to 65355 and for that I need a two byte representation. I'm trying to divide it by 2, 8 times, and sum the powers of 2 when the rest is one, and then cast that integer as a byte but I'm having problems meeting the restrictions of a byte (256). The second byte will be the rest of the 8th division and I'm having problems casting that as a byte too.
The following is my code for the previously described function method:
method convertBin(i:int) returns (b:seq<byte>)
requires 0<=i<=65535;
{
var b1:=0;
var q:=i;
var j:=0;
while j<8
invariant 0<=j<=8 && (b1 as int)< power(2,j)
decreases 8-j
{
var p:int;
if(q%2==1){
p:=power(2, j);
b1:=b1 + p;
q:=q/2;
}
j:=j+1;
}
b1:=b1 as byte;
b:=[b1]+[q as byte];
}
To complete your example, you need stronger loop invariants. But you don't need a loop at all, since there's no reason to divide only by 2.
Here's doing it with byte as a subset type:
type byte = x | 0 <= x < 256
method convertBin(i: int) returns (b1: byte, b0: byte)
requires 0 <= i < 0x1_0000
ensures i == 256 * b1 + b0
{
b1, b0 := i / 256, i % 256;
}
And here's the same program, but with byte being a newtype:
newtype byte = x | 0 <= x < 256
method convertBin(i: int) returns (b1: byte, b0: byte)
requires 0 <= i < 0x1_0000
ensures i == 256 * b1 as int + b0 as int
{
b1, b0 := (i / 256) as byte, (i % 256) as byte;
}
Rustan
Related
The var c return 3 but 10/7=1.4285, the rest is 0.4285, operator % has a bug?
void main() {
var a = 10;
var b = 7;
var c;
c = a % b;
print(c);
}
From the documentation of the % operator on num in Dart:
Euclidean modulo operator.
Returns the remainder of the Euclidean division. The Euclidean division of two integers a and b yields two integers q and r such that a == b * q + r and 0 <= r < b.abs().
The Euclidean division is only defined for integers, but can be easily extended to work with doubles. In that case r may have a non-integer value, but it still verifies 0 <= r < |b|.
The sign of the returned value r is always positive.
See remainder for the remainder of the truncating division.
https://api.dart.dev/stable/2.8.4/dart-core/num/operator_modulo.html
The '%' operator returns the remainder left after dividing two numbers. It does not return the decimal part. For example:
10 / 7
1
______
7 ) 10
- 7
______
3
So it returns 3 which is what remains after dividing 10 by 7 without any decimals.
10 / 7 = 1 3/7
What you want to do can be accomplished like this:
var floatNumber = 12.5523;
var x = floatNumber - floatNumber.truncate();
I'm trying to do some binary file parsing in swift, and although i have things working I have a situation where i have variable fields.
I have all my parsing working in the default case
I grab
1-bit field
1-bit field
1-bit field
11-bits field
1-bit field
(optional) 4-bit field
(optional) 4-bit field
1-bit field
2-bit field
(optional) 4-bit field
5-bit field
6-bit field
(optional) 6-bit field
(optional) 24-bit field
(junk data - up until byte buffer 0 - 7 bits as needed)
Most of the data uses only a certain set of optionals so I've gone ahead and started writing classes to handle that data. My general approach is to create a pointer structure and then construct a byte array from that:
let rawData: NSMutableData = NSMutableData(data: input_nsdata)
var ptr: UnsafeMutablePointer<UInt8> = UnsafeMutablePointer<UInt8(rawData.mutableBytes)
bytes = UnsafeMutableBufferPointer<UInt8>(start: ptr, count: rawData.length - offset)
So I end up working with an array of [UInt8] and I can do my parsing in a way similar to:
let b1 = (bytes[3] & 0x01) << 5
let b2 = (bytes[4] & 0xF8) >> 3
return Int(b1 | b2)
So where I run into trouble is with the optional fields, because my data does not lie specifically on byte boundaries everything gets complicated. In the ideal world I would probably just work directly with the pointer and advance it by bytes as needed, however, there is no way that I'm aware of to advance a pointer by 3-bits - which brings me to my question
What is the best approach to handle my situation?
One idea i thought was to come up with various structures that reflect the optional fields, except I'm not sure in swift how to create bit-aligned packed structures.
What is my best approach here? For clarification - the initial 1-bit fields determine which of the optional fields are set.
If the fields do not lie on byte boundaries then you'll have to keep
track of both the current byte and the current bit position within a byte.
Here is a possible solution which allows to read an arbitrary number
of bits from a data array and does all the bookkeeping. The only
restriction is that the result of nextBits() must fit into an UInt
(32 or 64 bits, depending on the platform).
struct BitReader {
private let data : [UInt8]
private var byteOffset : Int
private var bitOffset : Int
init(data : [UInt8]) {
self.data = data
self.byteOffset = 0
self.bitOffset = 0
}
func remainingBits() -> Int {
return 8 * (data.count - byteOffset) - bitOffset
}
mutating func nextBits(numBits : Int) -> UInt {
precondition(numBits <= remainingBits(), "attempt to read more bits than available")
var bits = numBits // remaining bits to read
var result : UInt = 0 // result accumulator
// Read remaining bits from current byte:
if bitOffset > 0 {
if bitOffset + bits < 8 {
result = (UInt(data[byteOffset]) & UInt(0xFF >> bitOffset)) >> UInt(8 - bitOffset - bits)
bitOffset += bits
return result
} else {
result = UInt(data[byteOffset]) & UInt(0xFF >> bitOffset)
bits = bits - (8 - bitOffset)
bitOffset = 0
byteOffset = byteOffset + 1
}
}
// Read entire bytes:
while bits >= 8 {
result = (result << UInt(8)) + UInt(data[byteOffset])
byteOffset = byteOffset + 1
bits = bits - 8
}
// Read remaining bits:
if bits > 0 {
result = (result << UInt(bits)) + (UInt(data[byteOffset]) >> UInt(8 - bits))
bitOffset = bits
}
return result
}
}
Example usage:
let data : [UInt8] = ... your data ...
var bitReader = BitReader(data: data)
let b1 = bitReader.nextBits(1)
let b2 = bitReader.nextBits(1)
let b3 = bitReader.nextBits(1)
let b4 = bitReader.nextBits(11)
let b5 = bitReader.nextBits(1)
if b1 > 0 {
let b6 = bitReader.nextBits(4)
let b7 = bitReader.nextBits(4)
}
// ... and so on ...
And here is another possible implemention, which is a bit simpler
and perhaps more effective. It collects bytes into an UInt, and
then extracts the result in a single step.
Here the restriction is that numBits + 7 must be less or equal
to the number of bits in an UInt (32 or 64). (Of course UInt
can be replace by UInt64 to make it platform independent.)
struct BitReader {
private let data : [UInt8]
private var byteOffset = 0
private var currentValue : UInt = 0 // Bits which still have to be consumed
private var currentBits = 0 // Number of valid bits in `currentValue`
init(data : [UInt8]) {
self.data = data
}
func remainingBits() -> Int {
return 8 * (data.count - byteOffset) + currentBits
}
mutating func nextBits(numBits : Int) -> UInt {
precondition(numBits <= remainingBits(), "attempt to read more bits than available")
// Collect bytes until we have enough bits:
while currentBits < numBits {
currentValue = (currentValue << 8) + UInt(data[byteOffset])
currentBits = currentBits + 8
byteOffset = byteOffset + 1
}
// Extract result:
let remaining = currentBits - numBits
let result = currentValue >> UInt(remaining)
// Update remaining bits:
currentValue = currentValue & UInt(1 << remaining - 1)
currentBits = remaining
return result
}
}
I am using Lua on Redis and want to compare two signed 64-bit numbers, which are stored in two 8-byte/character strings.
How can I compare them using the libraries available in Redis?
http://redis.io/commands/EVAL#available-libraries
I'd like to know >/< and == checks. I think this probably involves pulling two 32-bit numbers for each 64-bit int, and doing some clever math on those, but I am not sure.
I have some code to make this less abstract. a0, a1, b0, b1 are all 32 bit numbers used to represent the msb & lsb's of two 64-bit signed int 64s:
-- ...
local comp_int64s = function (a0, a1, b0, b1)
local cmpres = 0
-- TOOD: Real comparison
return cmpres
end
local l, a0, a1, b0, b1
a0, l = bit.tobit(struct.unpack("I4", ARGV[1]))
a1, l = bit.tobit(struct.unpack("I4", ARGV[1], 5))
b0, l = bit.tobit(struct.unpack("I4", blob))
b1, l = bit.tobit(struct.unpack("I4", blob, 5))
print("Cmp result", comp_int64s(a0, a1, b0, b1))
EDIT: Added code
I came up with a method that looks like it's working. It's a little ugly though.
The first step is to compare top 32 bits as 2 compliment #’s
MSB sign bit stays, so numbers keep correct relations
-1 —> -1
0 —> 0
9223372036854775807 = 0x7fff ffff ffff ffff -> 0x7ffff ffff = 2147483647
So returning the result from the MSB's works unless they are equal, then the LSB's need to get checked.
I have a few cases to establish the some patterns:
-1 = 0xffff ffff ffff ffff
-2 = 0xffff ffff ffff fffe
32 bit is:
-1 -> 0xffff ffff = -1
-2 -> 0xffff fffe = -2
-1 > -2 would be like -1 > -2 : GOOD
And
8589934591 = 0x0000 0001 ffff ffff
8589934590 = 0x0000 0001 ffff fffe
32 bit is:
8589934591 -> ffff ffff = -1
8589934590 -> ffff fffe = -2
8589934591 > 8589934590 would be -1 > -2 : GOOD
The sign bit on MSB’s doesn’t matter b/c negative numbers have the same relationship between themselves as positive numbers. e.g regardless of sign bit, lsb values of 0xff > 0xfe, always.
What about if the MSB on the lower 32 bits is different?
0xff7f ffff 7fff ffff = -36,028,799,166,447,617
0xff7f ffff ffff ffff = -36,028,797,018,963,969
32 bit is:
-..799.. -> 0x7fff ffff = 2147483647
-..797.. -> 0xffff ffff = -1
-..799.. < -..797.. would be 2147483647 < -1 : BAD!
So we need to ignore the sign bit on the lower 32 bits. And since the relationships are the same for the LSBs regardless of sign, just using
the lowest 32 bits unsigned works for all cases.
This means I want signed for the MSB's and unsigned for the LSBs - so chaging I4 to i4 for the LSBs. Also making big endian official and using '>' on the struct.unpack calls:
-- ...
local comp_int64s = function (as0, au1, bs0, bu1)
if as0 > bs0 then
return 1
elseif as0 < bs0 then
return -1
else
-- msb's equal comparing lsbs - these are unsigned
if au1 > bu1 then
return 1
elseif au1 < bu1 then
return -1
else
return 0
end
end
end
local l, as0, au1, bs0, bu1
as0, l = bit.tobit(struct.unpack(">i4", ARGV[1]))
au1, l = bit.tobit(struct.unpack(">I4", ARGV[1], 5))
bs0, l = bit.tobit(struct.unpack(">i4", blob))
bu1, l = bit.tobit(struct.unpack(">I4", blob, 5))
print("Cmp result", comp_int64s(as0, au1, bs0, bu1))
Comparing is a simple string compare s1 == s2.
Greater than is when not s1 == s2 and i1 < i2.
Less than is the real work. string.byte allows to get single bytes as unsigned char. In case of unsigned integer, you would just have to check bytes-downwards: b1==b2 -> check next byte; through all bytes -> false (equal); b1>b2 -> false (greater than); b1<b2 -> true. Signed requires more steps: first check the sign bit (uppermost byte >127). If sign 1 is set but not sign 2, integer 1 is negative but not integer 2 -> true. The opposite would obviously result in false. When both signs are equal, you can do the unsigned processing.
When you can pack more bytes to an integer, it's fine too, but you have to adjust the sign bit check. When you have LuaJIT, you can use the ffi library to cast your string into a byte array into an int64.
I need set some bits in ByteData at position counted in bits.
How I can do this?
Eg.
var byteData = new ByteData(1024);
var bitData = new BitData(byteData);
// Offset in bits: 387
// Number of bits: 5
// Value: 3
bitData.setBits(387, 5, 3);
Yes it is quite complicated. I dont know dart, but these are the general steps you need to take. I will label each variable as a letter and also use a more complicated example to show you what happens when the bits overflow.
1. Construct the BitData object with a ByteData object (A)
2. Call setBits(offset (B), bits (C), value (D));
I will use example values of:
A: 11111111 11111111 11111111 11111111
B: 7
C: 10
D: 00000000 11111111
3. Rather than using an integer with a fixed length of bits, you could
use another ByteData object (D) containing your bits you want to write.
Also create a mask (E) containing the significant bits.
e.g.
A: 11111111 11111111 11111111 11111111
D: 00000000 11111111
E: 00000011 11111111 (2^C - 1)
4. As an extra bonus step, we can make sure the insignificant
bits are really zero by ANDing with the bitmask.
D = D & E
D 00000000 11111111
E 00000011 11111111
5. Make sure D and E contain at least one full zero byte since we want
to shift them.
D 00000000 00000000 11111111
E 00000000 00000011 11111111
6. Work out these two integer values:
F = The extra bit offset for the start byte: B mod 8 (e.g. 7)
G = The insignificant bits: size(D) - C (e.g. 14)
7. H = G-F which should not be negative here. (e.g. 14-7 = 7)
8. Shift both D and E left by H bits.
D 00000000 01111111 10000000
E 00000001 11111111 10000000
9. Work out first byte number (J) floor(B / 8) e.g. 0
10. Read the value of A at this index out and let this be K
K = 11111111 11111111 11111111
11. AND the current (K) with NOT E to set zeros for the new bits.
Then you can OR the new bits over the top.
L = (K & !E) | D
K & !E = 11111110 00000000 01111111
L = 11111110 01111111 11111111
12. Write L to the same place you read it from.
There is no BitData class, so you'll have to do some of the bit-pushing yourself.
Find the corresponding byte offset, read in some bytes, mask out the existing bits and set the new ones at the correct bit offset, then write it back.
The real complexity comes when you need to store more bits than you can read/write in a single operation.
For endianness, if you are treating the memory as a sequence of bits with arbitrary width, I'd go for little-endian. Endianness only really makes sense for full-sized (2^n-bit, n > 3) integers. A 5 bit integer as the one you are storing can't have any endianness, and a 37 bit integer also won't have any natural way of expressing an endianness.
You can try something like this code (which can definitely be optimized more):
import "dart:typed_data";
void setBitData(ByteBuffer buffer, int offset, int length, int value) {
assert(value < (1 << length));
assert(offset + length < buffer.lengthInBytes * 8);
int byteOffset = offset >> 3;
int bitOffset = offset & 7;
if (length + bitOffset <= 32) {
ByteData data = new ByteData.view(buffer);
// Can update it one read/modify/write operation.
int mask = ((1 << length) - 1) << bitOffset;
int bits = data.getUint32(byteOffset, Endianness.LITTLE_ENDIAN);
bits = (bits & ~mask) | (value << bitOffset);
data.setUint32(byteOffset, bits, Endianness.LITTLE_ENDIAN);
return;
}
// Split the value into chunks of no more than 32 bits, aligned.
do {
int bits = (length > 32 ? 32 : length) - bitOffset;
setBitData(buffer, offset, bits, value & ((1 << bits) - 1));
offset += bits;
length -= bits;
value >>= bits;
bitOffset = 0;
} while (length > 0);
}
Example use:
main() {
var b = new Uint8List(32);
setBitData(b.buffer, 3, 8, 255);
print(b.map((v)=>v.toRadixString(16)));
setBitData(b.buffer, 13, 6*4, 0xffffff);
print(b.map((v)=>v.toRadixString(16)));
setBitData(b.buffer, 47, 21*4, 0xaaaaaaaaaaaaaaaaaaaaa);
print(b.map((v)=>v.toRadixString(16)));
}
I have a specific requirement to convert a stream of bytes into a character encoding that happens to be 6-bits per character.
Here's an example:
Input: 0x50 0x11 0xa0
Character Table:
010100 T
000001 A
000110 F
100000 SPACE
Output: "TAF "
Logically I can understand how this works:
Taking 0x50 0x11 0xa0 and showing as binary:
01010000 00010001 10100000
Which is "TAF ".
What's the best way to do this programmatically (pseudo code or c++). Thank you!
Well, every 3 bytes, you end up with four characters. So for one thing, you need to work out what to do if the input isn't a multiple of three bytes. (Does it have padding of some kind, like base64?)
Then I'd probably take each 3 bytes in turn. In C#, which is close enough to pseudo-code for C :)
for (int i = 0; i < array.Length; i += 3)
{
// Top 6 bits of byte i
int value1 = array[i] >> 2;
// Bottom 2 bits of byte i, top 4 bits of byte i+1
int value2 = ((array[i] & 0x3) << 4) | (array[i + 1] >> 4);
// Bottom 4 bits of byte i+1, top 2 bits of byte i+2
int value3 = ((array[i + 1] & 0xf) << 2) | (array[i + 2] >> 6);
// Bottom 6 bits of byte i+2
int value4 = array[i + 2] & 0x3f;
// Now use value1...value4, e.g. putting them into a char array.
// You'll need to decode from the 6-bit number (0-63) to the character.
}
Just in case if someone is interested - another variant that extracts 6-bit numbers from the stream as soon as they appear there. That is, results can be obtained even if less then 3 bytes are currently read. Would be useful for unpadded streams.
The code saves the state of the accumulator a in variable n which stores the number of bits left in accumulator from the previous read.
int n = 0;
unsigned char a = 0;
unsigned char b = 0;
while (read_byte(&byte)) {
// save (6-n) most significant bits of input byte to proper position
// in accumulator
a |= (b >> (n + 2)) & (077 >> n);
store_6bit(a);
a = 0;
// save remaining least significant bits of input byte to proper
// position in accumulator
a |= (b << (4 - n)) & ((077 << (4 - n)) & 077);
if (n == 4) {
store_6bit(a);
a = 0;
}
n = (n + 2) % 6;
}