I changed the ip setting from auto to manual and imputed the following. I then clicked on the ipv4 item and selected properties. I went to my wireless connection on my laptop and right clicked for status and then selected properties.
#Foxfi hash code plus
I cleared the catch on both foxfi and the plus then uninstalled both. I've added a random brain-dump discussion page, where I'll put more info about how I found the hash constants, test methodology, etc.This will not work if your hotspot isnt visable but it did solve the problem of resolving an ip address for my mabookpro and W7 netbook I liked the name Murmur better than Musxmusx, so I kept it. Unfortunately multiply+rotate has a few major weaknesses when used in a hash function, so I used multiply+shift+xor. Repeat that about 15 times using 'good' values of m and r, and x will end up pseudo-randomized. The name, if you're wondering, comes from the simplest sequence of operations which will thoroughly mix the bits of a value - "x *= m x = rotate_left(x,r) " - multiply and rotate. If you want MurmurHash 1.0, the source is still available - simple and alignedĪll detailed testing results have been moved to the Statistics page.
#Foxfi hash code code
No collisions possible for 4-byte keys, no small (1- to 7-bit) differentials.Įxcellent performance - measured on an Intel Core 2 Duo 2.4 ghzįor the simple implementation - MurmurHash2.cppįor the simple implementation w/ Merkle-Damgard-esque construction - MurmurHash2A.cppįor the 64-bit version - MurmurHash2_64.cppįor the little-endian aligned-read-only implementation - MurmurHashAligned2.cppįor the (slower) endian-neutral implementation - MurmurHashNeutral2.cppĪll code is released to the public domain. Bug fixed, code updated.Įxtremely simple - compiles down to ~52 instructions on x86.Įxcellent distribution - Passes chi-squared tests for practically all keysets & bucket sizes.Įxcellent avalanche behavior - Maximum bias is under 0.5%.Įxcellent collision resistance - Passes Bob Jenkin's frog.c torture-test.
#Foxfi hash code update
Update NovemOne of MurmurHash2A's users found a small bug in the sample C++ implementation that caused the C++ and C versions to produce different hashes for blocks whose size was not a multiple of four. While investigating the flaw I've found a new mix function that improves the performance yet again, so I'll be publishing that as MurmurHash3. This is not fixable, but should not cause problems in most cases (it applies only to keys that are identical except for the repeating sections and with those sections 4-byte-aligned).
Update OctoA couple of people have reported a flaw in MurmurHash2, and I've confirmed it - repetitions of 4-byte patterns have a much higher chance of collision than expected. Murmur3 and all future versions will be hosted on Google Code here - you can access the codebase via the 'Source' tab at the top. In addition, the library of test code that I use to test MurmurHash (called SMHasher) has been released - it's still rough (and will only compile under VC++ at the moment), but it contains everything needed to verify hash functions of arbitrary output bit-lengths. Murmur3 has better performance than MurmurHash2, no repetition flaw, comes in 32/64/128-bit versions for both x86 and 圆4 platforms, and the 128-bit 圆4 version is blazing fast - over 5 gigabytes per second on my 3 gigahertz Core 2. Update NovemMurmurHash3 has been released in beta form here - (I reserve the right to tweak the constants after people have had a chance to bang on it). Update JanuI'm now employed by Google, and will be working on better cross-platform support for SMHasher and Murmur in the near future. Update MaThe 32-bit variant of MurmurHash3 is finalized, and this page is deprecated.