3
0
Fork 0
mirror of https://gitea.com/actions/setup-python.git synced 2024-11-25 19:49:35 +01:00
setup-python/node_modules/node-int64
Danny McCormick 39c08a0eaa Initial pass
2019-06-26 21:12:00 -04:00
..
.npmignore Initial pass 2019-06-26 21:12:00 -04:00
Int64.js Initial pass 2019-06-26 21:12:00 -04:00
LICENSE Initial pass 2019-06-26 21:12:00 -04:00
package.json Initial pass 2019-06-26 21:12:00 -04:00
README.md Initial pass 2019-06-26 21:12:00 -04:00
test.js Initial pass 2019-06-26 21:12:00 -04:00

JavaScript Numbers are represented as IEEE 754 double-precision floats. Unfortunately, this means they lose integer precision for values beyond +/- 2^^53. For projects that need to accurately handle 64-bit ints, such as node-thrift, a performant, Number-like class is needed. Int64 is that class.

Int64 instances look and feel much like JS-native Numbers. By way of example ...

// First, let's illustrate the problem ...
> (0x123456789).toString(16)
'123456789' // <- what we expect.
> (0x123456789abcdef0).toString(16)
'123456789abcdf00' // <- Ugh!  JS doesn't do big ints. :(

// So let's create a couple Int64s using the above values ...

// Require, of course
> Int64 = require('node-int64')

// x's value is what we expect (the decimal value of 0x123456789)
> x = new Int64(0x123456789)
[Int64 value:4886718345 octets:00 00 00 01 23 45 67 89]

// y's value is Infinity because it's outside the range of integer
// precision.  But that's okay - it's still useful because it's internal
// representation (octets) is what we passed in
> y = new Int64('123456789abcdef0')
[Int64 value:Infinity octets:12 34 56 78 9a bc de f0]

// Let's do some math.  Int64's behave like Numbers.  (Sorry, Int64 isn't
// for doing 64-bit integer arithmetic (yet) - it's just for carrying
// around int64 values
> x + 1
4886718346
> y + 1
Infinity

// Int64 string operations ...
> 'value: ' + x
'value: 4886718345'
> 'value: ' + y
'value: Infinity'
> x.toString(2)
'100100011010001010110011110001001'
> y.toString(2)
'Infinity'

// Use JS's isFinite() method to see if the Int64 value is in the
// integer-precise range of JS values
> isFinite(x)
true
> isFinite(y)
false

// Get an octet string representation.  (Yay, y is what we put in!)
> x.toOctetString()
'0000000123456789'
> y.toOctetString()
'123456789abcdef0'

// Finally, some other ways to create Int64s ...

// Pass hi/lo words
> new Int64(0x12345678, 0x9abcdef0)
[Int64 value:Infinity octets:12 34 56 78 9a bc de f0]

// Pass a Buffer
> new Int64(new Buffer([0x12, 0x34, 0x56, 0x78, 0x9a, 0xbc, 0xde, 0xf0]))
[Int64 value:Infinity octets:12 34 56 78 9a bc de f0]

// Pass a Buffer and offset
> new Int64(new Buffer([0,0,0,0,0x12, 0x34, 0x56, 0x78, 0x9a, 0xbc, 0xde, 0xf0]), 4)
[Int64 value:Infinity octets:12 34 56 78 9a bc de f0]

// Pull out into a buffer
> new Int64(new Buffer([0x12, 0x34, 0x56, 0x78, 0x9a, 0xbc, 0xde, 0xf0])).toBuffer()
<Buffer 12 34 56 78 9a bc de f0>

// Or copy into an existing one (at an offset)
> var buf = new Buffer(1024);
> new Int64(new Buffer([0x12, 0x34, 0x56, 0x78, 0x9a, 0xbc, 0xde, 0xf0])).copy(buf, 512);