kokukuma

" ============================================================================
" File:        vimdiff_menu.vim
"
" ============================================================================
if exists("g:loaded_nerdtree_vimdiff_menu")
    finish
endif
let g:loaded_nerdtree_vimdiff_menu = 1

call NERDTreeAddMenuItem({'text': '(v)imdiff with current node', 'shortcut': 'v', 'callback': 'NERDTreeDiffNode'})

kokukuma

" ============================================================================
" File:        unite_bzr_log_menu.vim
"
" ============================================================================
if exists("g:loaded_nerdtree_bzr_log_file")
    finish
endif
let g:loaded_nerdtree_bzr_log_file = 1

call NERDTreeAddMenuItem({'text': '(b)zr log', 'shortcut': 'b', 'callback': 'NERDTreeUniteBzrLog'})

kokukuma

import os
import csv
import re
#from subprocess import *
from bzrlib.branch import Branch
from bzrlib.workingtree import WorkingTree
from bzrlib.commands import Command,register_command
#from itertools import chain

kokukuma

test
karino

kokukuma

#--------------------------------------------
#   1.1
#--------------------------------------------
print
print "1.1"
#
thestring = "karino"
thelist = list(thestring)
print thelist

kokukuma

word2vec code reading

目的

• 実装した多層パーセプトロンでCBOWもどきやってみたけど, 遅すぎる.
• word2vecの実装読めば, 速くするヒントが見えてくるかもしれない.

参考資料

• word2vec
• コード

kokukuma

[global]
size=64M
#size=64k
ioengine=sync
invalidate=1
direct=0
randrepeat=1
gtod_reduce=1
norandommap
stonewall

kokukuma

[global]
#size=64M
size=64k
ioengine=sync
invalidate=1
direct=0
randrepeat=1
gtod_reduce=1
norandommap
stonewall

kokukuma

[global]
size=64M
#size=64k
ioengine=sync
invalidate=1
direct=0
randrepeat=1
gtod_reduce=1
norandommap
stonewall

kokukuma

[global]
size=64m
ioengine=sync
invalidate=1
direct=0
randrepeat=1
gtod_reduce=1
norandommap
stonewall