After reading List of IP Space used by Facebook:
"Real" list is the last answer, but I wonder how Igy (with the answer marked as solution) managed to shrink the list a lot by adding consecutive classes into a bigger one (by decreasing accordingly from network mask for each new consecutive network), is there a tool, or only manually ?
This is a HUGE improvement for firewall, where number of rules counts (the shorter the better).
A simple solution is to use netaddr:
import netaddr
ips = netaddr.IPSet()
for addr in all_addrs:
ips.add(addr)
ips.compact()
for cidr in ips.iter_cidrs():
print(str(cidr))
Following Python 3 script can do what you want:
#!/usr/bin/python3
# -*- coding: utf-8 -*-
from functools import reduce
import sys
def add_mark(regions, mark, k):
r = regions[:]
i = 0
j = len(r)
while i < j:
m = (i + j) // 2
if mark < r[m][0]:
j = m
elif r[m][0] < mark:
i = m + 1
else:
r[m][1] += k
if r[m][1] == 0:
del r[m]
return r
r.insert(i, [mark, k])
return r
def add_region(regions, start, end):
return add_mark(add_mark(regions, start, 1), end, -1)
def parse_network(n):
pos = n.find('/')
return ip_to_int(n[:pos]), 2**(32 - int(n[pos+1:]))
def ip_to_int(ip):
return reduce(lambda a, b: 256*a + b, map(int, ip.split('.')))
def print_summary(r):
if len(r) == 0:
return
start = None
level = 0
for item in r:
level += item[1]
if start is None:
start = item[0]
elif level == 0:
summarize_networks(start, item[0])
start = None
def summarize_networks(start, end):
while start < end:
mask = 32
amount = 1
while start % amount == 0 and start + amount - 1< end:
mask -= 1
amount *= 2
mask += 1
amount //= 2
print('{0}/{1}'.format(int_to_ip(start), mask))
start += amount
def int_to_ip(n):
n, o4 = divmod(n, 256)
n, o3 = divmod(n, 256)
o1, o2 = divmod(n, 256)
return '.'.join(map(str, [o1, o2, o3, o4]))
def main():
regions = []
while True:
line = sys.stdin.readline()
if len(line) == 0:
break
for item in line.strip().split():
start, amount = parse_network(item)
regions = add_region(regions, start, start + amount)
print_summary(regions)
if __name__ == "__main__":
main()
Example:
./unique_networks.py <<EOF
192.168.0.0/24
192.168.0.128/25
192.168.0.248/30
192.168.1.0/24
192.168.100.0/24
EOF
192.168.0.0/23
192.168.100.0/24
For a facebook's list of
204.15.20.0/22
69.63.176.0/20
66.220.144.0/20
66.220.144.0/21
69.63.184.0/21
69.63.176.0/21
74.119.76.0/22
69.171.255.0/24
173.252.64.0/18
69.171.224.0/19
69.171.224.0/20
103.4.96.0/22
69.63.176.0/24
173.252.64.0/19
173.252.70.0/24
31.13.64.0/18
31.13.24.0/21
66.220.152.0/21
66.220.159.0/24
69.171.239.0/24
69.171.240.0/20
31.13.64.0/19
31.13.64.0/24
31.13.65.0/24
31.13.67.0/24
31.13.68.0/24
31.13.69.0/24
31.13.70.0/24
31.13.71.0/24
31.13.72.0/24
31.13.73.0/24
31.13.74.0/24
31.13.75.0/24
31.13.76.0/24
31.13.77.0/24
31.13.96.0/19
31.13.66.0/24
173.252.96.0/19
69.63.178.0/24
31.13.78.0/24
31.13.79.0/24
31.13.80.0/24
31.13.82.0/24
31.13.83.0/24
31.13.84.0/24
31.13.85.0/24
31.13.86.0/24
31.13.87.0/24
31.13.88.0/24
31.13.89.0/24
31.13.90.0/24
31.13.91.0/24
31.13.92.0/24
31.13.93.0/24
31.13.94.0/24
31.13.95.0/24
69.171.253.0/24
69.63.186.0/24
31.13.81.0/24
179.60.192.0/22
179.60.192.0/24
179.60.193.0/24
179.60.194.0/24
179.60.195.0/24
185.60.216.0/22
45.64.40.0/22
185.60.216.0/24
185.60.217.0/24
185.60.218.0/24
185.60.219.0/24
129.134.0.0/16
157.240.0.0/16
204.15.20.0/22
69.63.176.0/20
69.63.176.0/21
69.63.184.0/21
66.220.144.0/20
69.63.176.0/20
networks this script summarizes them to:
31.13.24.0/21
31.13.64.0/18
45.64.40.0/22
66.220.144.0/20
69.63.176.0/20
69.171.224.0/19
74.119.76.0/22
103.4.96.0/22
129.134.0.0/16
157.240.0.0/16
173.252.64.0/18
179.60.192.0/22
185.60.216.0/22
204.15.20.0/22
With the help of sds' answer (netaddr is beautiful, it even sorts the output) I came up with the following to convert facebook IP ranges to ipset:
ipset create facebook4 hash:net comment
whois -h whois.radb.net -- '-i origin AS32934' | awk '/^route:/ {print $2}' | ./netaddr-compact.py | sed 's/^/ipset add facebook4 /' | sh -x
ipset create facebook6 hash:net family inet6 comment
whois -h whois.radb.net -- '-i origin AS32934' | awk '/^route6:/ {print $2}' | ./netaddr-compact.py | sed 's/^/ipset add facebook6 /' | sh -x
ipset create facebook list:set comment
ipset add facebook facebook4
ipset add facebook facebook6
The netaddr-compact.py file is simple:
#!/usr/bin/env python3
import netaddr # on ubuntu: apt install python3-netaddr
import fileinput
ips = netaddr.IPSet()
for addr in fileinput.input():
ips.add(addr)
ips.compact()
for cidr in ips.iter_cidrs():
print(str(cidr))
Related
I need to compare two files column by column using unix shell, and store the difference in a resulting file.
For example if column 1 of the 1st record of the 1st file matches the column 1 of the 1st record of the 2nd file then the result will be stored as '=' in the resulting file against the column, but if it finds any difference in column values the same need to be printed in the resulting file.
Below is the exact requirement.
File 1:
id code name place
123 abc Tom phoenix
345 xyz Harry seattle
675 kyt Romil newyork
File 2:
id code name place
123 pkt Rosy phoenix
345 xyz Harry seattle
421 uty Romil Sanjose
Expected resulting file:
id_1 id_2 code_1 code_2 name_1 name_2 place_1 place_2
= = abc pkt Tom Rosy = =
= = = = = = = =
675 421 kyt uty = = Newyork Sanjose
Columns are tab delimited.
This is rather crudely coded, but shows a way to use awk to emit what you want, and can handle files of identical "schema" - not just the particular 4-field files you give as tests.
This approach uses pr to do a simple merge of the files: the same line of each input file is concatenated to present one line to the awk script.
The awk script assumes clean input, and uses the fact that if a variable n has the value 2, the value of $n in the script is the the same as $2. So, the script walks though pairs of fields using the i and j variables. For your test input, fields 1 and 5, then 2 and 6, etc., are processed.
Only very limited testing of input is performed: mainly, that the implied schema of the two input files (the names of columns/fields) is the same.
#!/bin/sh
[ $# -eq 2 ] || { echo "Usage: ${0##*/} <file1> <file2>" 1>&2; exit 1; }
[ -r "$1" -a -r "$2" ] || { echo "$1 or $2: cannot read" 1>&2; exit 1; }
set -e
pr -s -t -m "$#" | \
awk '
{
offset = int(NF/2)
tab = ""
for (i = 1; i <= offset; i++) {
j = i + offset
if (NR == 1) {
if ($i != $j) {
printf "\nColumn name mismatch (%s/%s)\n", $i, $j > "/dev/stderr"
exit
}
printf "%s%s_1\t%s_2", tab, $i, $j
} else if ($i == $j) {
printf "%s=\t=", tab
} else {
printf "%s%s\t%s", tab, $i, $j
}
tab = "\t"
}
printf "\n"
}
'
Tested on Linux: GNU Awk 4.1.0 and pr (GNU coreutils) 8.21.
Here is the mcve to demonstrate losing workers over time. This is a followup to
Distributing graphs to across cluster nodes
The example is not quite minimal but it does give an idea of our typical work patterns. The sleep is necessary to cause the problem. This occurs in the full application because of the need to generate a large graph from previous results.
When I run this on a cluster, I use dask-ssh to get 32 workers over 8 nodes:
dask-ssh --nprocs 4 --nthreads 1 --scheduler-port 8786 --log-directory `pwd` --hostfile hostfile.$JOBID &
sleep 10
It should run in less than about 10 minutes with the full set of workers. I follow the execution on the diagnostics screen. Under events, I see the workers being added but then I sometimes but not always see removal of a number of workers, usually leaving only those on the node hosting the scheduler.
""" Test to illustrate losing workers under dask/distributed.
This mimics the overall structure and workload of our processing.
Tim Cornwell 9 Sept 2017
realtimcornwell#gmail.com
"""
import numpy
from dask import delayed
from distributed import Client
# Make some randomly located points on 2D plane
def init_sparse(n, margin=0.1):
numpy.random.seed(8753193)
return numpy.array([numpy.random.uniform(margin, 1.0 - margin, n),
numpy.random.uniform(margin, 1.0 - margin, n)]).reshape([n, 2])
# Put the points onto a grid and FFT, skip to save time
def grid_data(sparse_data, shape, skip=100):
grid = numpy.zeros(shape, dtype='complex')
loc = numpy.round(shape * sparse_data).astype('int')
for i in range(0, sparse_data.shape[0], skip):
grid[loc[i,:]] = 1.0
return numpy.fft.fft(grid).real
# Accumulate all psfs into one psf
def accumulate(psf_list):
lpsf = 0.0 * psf_list[0]
for p in psf_list:
lpsf += p
return lpsf
if __name__ == '__main__':
import sys
import time
start=time.time()
# Process nchunks each of length len_chunk 2d points, making a psf of size shape
len_chunk = int(1e6)
nchunks = 16
shape=[512, 512]
skip = 100
# We pass in the scheduler from the invoking script
if len(sys.argv) > 1:
scheduler = sys.argv[1]
client = Client(scheduler)
else:
client = Client()
print("On initialisation", client)
sparse_graph = [delayed(init_sparse)(len_chunk) for i in range(nchunks)]
sparse_graph = client.compute(sparse_graph, sync=True)
print("After first sparse_graph", client)
xfr_graph = [delayed(grid_data)(s, shape=shape, skip=skip) for s in sparse_graph]
xfr = client.compute(xfr_graph, sync=True)
print("After xfr", client)
tsleep = 120.0
print("Sleeping now for %.1f seconds" % tsleep)
time.sleep(tsleep)
print("After sleep", client)
sparse_graph = [delayed(init_sparse)(len_chunk) for i in range(nchunks)]
# sparse_graph = client.compute(sparse_graph, sync=True)
xfr_graph = [delayed(grid_data)(s, shape=shape, skip=skip) for s in sparse_graph]
psf_graph = delayed(accumulate)(xfr_graph)
psf = client.compute(psf_graph, sync=True)
print("*** Successfully reached end in %.1f seconds ***" % (time.time() - start))
print(numpy.max(psf))
print("After psf", client)
client.shutdown()
exit()
Grep'ing a typical run for Client shows:
On initialisation <Client: scheduler='tcp://sand-8-17:8786' processes=16 cores=16>
After first sparse_graph <Client: scheduler='tcp://sand-8-17:8786' processes=16 cores=16>
After xfr <Client: scheduler='tcp://sand-8-17:8786' processes=16 cores=16>
After sleep <Client: scheduler='tcp://sand-8-17:8786' processes=4 cores=4>
After psf <Client: scheduler='tcp://sand-8-17:8786' processes=4 cores=4>
Thanks,
Tim
It's not quite clear why this works but it did. We were using dask-ssh but needed more control over the creation of the workers. Eventually we settled on:
scheduler=$(head -1 hostfile.$JOBID)
hostIndex=0
for host in `cat hostfile.$JOBID`; do
echo "Working on $host ...."
if [ "$hostIndex" = "0" ]; then
echo "run dask-scheduler"
ssh $host dask-scheduler --port=8786 &
sleep 5
fi
echo "run dask-worker"
ssh $host dask-worker --host ${host} --nprocs NUMBER_PROCS_PER_NODE \
--nthreads NUMBER_THREADS \
--memory-limit 0.25 --local-directory /tmp $scheduler:8786 &
sleep 1
hostIndex="1"
done
echo "Scheduler and workers now running"
I want to replace the second existence of the pattern in unix.
Input File:-
12345|45345|TaskID|dksj|kdjfdsjf|TaskID|12
1245|425345|TaskID|dksj|kdjfdsjf|TaskID|12
1234|25345|TaskID|dksj|TaskID|kdjfdsjf|12|TaskID
123425|65345|TaskID|dksj|kdjfdsjf|12|TaskID
123425|15325|TaskID|dksj|kdjfdsjf|12
Sample Output file:-
12345|45345|TaskID|dksj|kdjfdsjf|TaskID1|12
1245|425345|TaskID2|dksj|kdjfdsjf|TaskID3|12
1234|25345|TaskID|dksj|TaskID1|kdjfdsjf|12|TaskID2
123425|65345|TaskID3|dksj|kdjfdsjf|12|TaskID4
123425|15325|TaskID|dksj|kdjfdsjf|12
your example does not match your question,
so i'll only show how to replace every second match of the given pattern
use awk. it's very powerfull tool for command line text processing
replace.sh as follow:
cat | awk -v search="$1" -v repl="$2" '
BEGIN {
flag = 0
}
{
split($0, a, search)
len = length(a)
for (f = 1; f < len; f += 1) {
printf "%s%s", a[f], (flag % 2 == 0 ? search : repl)
flag += 1
}
printf "%s%s", a[len], ORS
}
'
cat input.txt | ./replace.sh TaskID TaskID1
i have a small problem i need to count words inside the console to read doc, docx, pptx, ppt, xls, xlsx, odt, pdf ... so don't suggest me | wc -w or grep because they work only with text or console output and they count only spaces and in japanese, chinese, arabic , hindu , hebrew they use diferent delimiter so the word count is wrong and i tried to count with this
pdftotext file.pdf -| wc -w
/usr/local/bin/docx2txt.pl < file.docx | wc -w
/usr/local/bin/pptx2txt.pl < file.pptx | wc -w
antiword file.doc -| wc -w
antiword file.word -| wc -w
in some cases microsoft word , openoffice sad 1000 words and the counters return 10 or 300 words if the language is ( japanese , chinese, hindu ect... ) , but if i use normal characters then i have no issue the biggest mistake is in some case 3 chars less witch is "OK"
i tried to convert with soffice , openoffice and then try WC -w but i can't even convert ,
soffice --headless --nofirststartwizard --accept=socket,host=127.0.0.1,port=8100; --convert-to pdf some.pdf /var/www/domains/vocabridge.com/devel/temp_files/23/0/东京_1000_words_Docx.docx
OR
openoffice.org --headless --convert-to ........
OR
openoffice.org3 --invisible
so if someone know any way to count correctly or display document statistic with openoffice or anything else or linux with the console please share it
thanks.
If you have Microsoft Word (and Windows, obviously) you can write a VBA macro or if you want to run straight from the command line you can write a VBScript script with something like the following:
wordApp = CreateObject("Word.Application")
doc = ... ' open up a Word document using wordApp
docWordCount = doc.Words.Count
' Rinse and repeat...
If you have OpenOffice.org/LibreOffice you have similar (but more) options. If you want to stay in the office app and run a macro you can probably do that. I don't know the StarBasic API well enough to tell you how but I can give you the alternative: creating a Python script to get the word count from the command line. Roughly speaking, you do the following:
Start up your copy of OOo/LibO from the command line with the appropriate parameters to accept incoming socket connections. http://www.openoffice.org/udk/python/python-bridge.html has instructions on how to do that. Go there and use the browser's in-page find feature to search for `accept=socket'
Write a Python script to use the OOo/LibO UNO bridge (basically equivalent to the VBScript example above) to open up your Word/ODT documents one at a time and get the word count from each. The above page should give you a good start to doing that.
You get the word count from a document model object's WordCount property: http://www.openoffice.org/api/docs/common/ref/com/sun/star/text/GenericTextDocument.html#WordCount
Just building on to what #Yawar wrote. Here is is more explicit steps for how to word count with MS word from the console.
I also use the more accurate Range.ComputeStatistics(wdStatisticWords) instead of the Words property. See here for more info: https://support.microsoft.com/en-za/help/291447/word-count-appears-inaccurate-when-you-use-the-vba-words-property
Make a script called wc.vbs and then put this in it:
Set word = CreateObject("Word.Application")
word.Visible = False
Set doc = word.Documents.Open("<replace with absolute path to your .docx/.pdf>")
docWordCount = doc.Range.ComputeStatistics(wdStatisticWords)
word.Quit
Dim StdOut : Set StdOut = CreateObject("Scripting.FileSystemObject").GetStandardStream(1)
WScript.Echo docWordCount & " words"
Open powershell in the directory you saved wc.vbs and run cscript .\wc.vbs and you'll get back the word count :)
I think this may do what you are aiming for
# Continuously updating word count
import unohelper, uno, os, time
from com.sun.star.i18n.WordType import WORD_COUNT
from com.sun.star.i18n import Boundary
from com.sun.star.lang import Locale
from com.sun.star.awt import XTopWindowListener
#socket = True
socket = False
localContext = uno.getComponentContext()
if socket:
resolver = localContext.ServiceManager.createInstanceWithContext('com.sun.star.bridge.UnoUrlResolver', localContext)
ctx = resolver.resolve('uno:socket,host=localhost,port=2002;urp;StarOffice.ComponentContext')
else: ctx = localContext
smgr = ctx.ServiceManager
desktop = smgr.createInstanceWithContext('com.sun.star.frame.Desktop', ctx)
waittime = 1 # seconds
def getWordCountGoal():
doc = XSCRIPTCONTEXT.getDocument()
retval = 0
# Only if the field exists
if doc.getTextFieldMasters().hasByName('com.sun.star.text.FieldMaster.User.WordCountGoal'):
# Get the field
wordcountgoal = doc.getTextFieldMasters().getByName('com.sun.star.text.FieldMaster.User.WordCountGoal')
retval = wordcountgoal.Content
return retval
goal = getWordCountGoal()
def setWordCountGoal(goal):
doc = XSCRIPTCONTEXT.getDocument()
if doc.getTextFieldMasters().hasByName('com.sun.star.text.FieldMaster.User.WordCountGoal'):
wordcountgoal = doc.getTextFieldMasters().getByName('com.sun.star.text.FieldMaster.User.WordCountGoal')
wordcountgoal.Content = goal
# Refresh the field if inserted in the document from Insert > Fields >
# Other... > Variables > Userdefined fields
doc.TextFields.refresh()
def printOut(txt):
if socket: print txt
else:
model = desktop.getCurrentComponent()
text = model.Text
cursor = text.createTextCursorByRange(text.getEnd())
text.insertString(cursor, txt + '\r', 0)
def hotCount(st):
'''Counts the number of words in a string.
ARGUMENTS:
str st: count the number of words in this string
RETURNS:
int: the number of words in st'''
startpos = long()
nextwd = Boundary()
lc = Locale()
lc.Language = 'en'
numwords = 1
mystartpos = 1
brk = smgr.createInstanceWithContext('com.sun.star.i18n.BreakIterator', ctx)
nextwd = brk.nextWord(st, startpos, lc, WORD_COUNT)
while nextwd.startPos != nextwd.endPos:
numwords += 1
nw = nextwd.startPos
nextwd = brk.nextWord(st, nw, lc, WORD_COUNT)
return numwords
def updateCount(wordCountModel, percentModel):
'''Updates the GUI.
Updates the word count and the percentage completed in the GUI. If some
text of more than one word is selected (including in multiple selections by
holding down the Ctrl/Cmd key), it updates the GUI based on the selection;
if not, on the whole document.'''
model = desktop.getCurrentComponent()
try:
if not model.supportsService('com.sun.star.text.TextDocument'):
return
except AttributeError: return
sel = model.getCurrentSelection()
try: selcount = sel.getCount()
except AttributeError: return
if selcount == 1 and sel.getByIndex(0).getString == '':
selcount = 0
selwords = 0
for nsel in range(selcount):
thisrange = sel.getByIndex(nsel)
atext = thisrange.getString()
selwords += hotCount(atext)
if selwords > 1: wc = selwords
else:
try: wc = model.WordCount
except AttributeError: return
wordCountModel.Label = str(wc)
if goal != 0:
pc_text = 100 * (wc / float(goal))
#pc_text = '(%.2f percent)' % (100 * (wc / float(goal)))
percentModel.ProgressValue = pc_text
else:
percentModel.ProgressValue = 0
# This is the user interface bit. It looks more or less like this:
###############################
# Word Count _ o x #
###############################
# _____ #
# 451 / |500| #
# ----- #
# ___________________________ #
# |############## | #
# --------------------------- #
###############################
# The boxed `500' is the text entry box.
class WindowClosingListener(unohelper.Base, XTopWindowListener):
def __init__(self):
global keepGoing
keepGoing = True
def windowClosing(self, e):
global keepGoing
keepGoing = False
setWordCountGoal(goal)
e.Source.setVisible(False)
def addControl(controlType, dlgModel, x, y, width, height, label, name = None):
control = dlgModel.createInstance(controlType)
control.PositionX = x
control.PositionY = y
control.Width = width
control.Height = height
if controlType == 'com.sun.star.awt.UnoControlFixedTextModel':
control.Label = label
elif controlType == 'com.sun.star.awt.UnoControlEditModel':
control.Text = label
elif controlType == 'com.sun.star.awt.UnoControlProgressBarModel':
control.ProgressValue = label
if name:
control.Name = name
dlgModel.insertByName(name, control)
else:
control.Name = 'unnamed'
dlgModel.insertByName('unnamed', control)
return control
def loopTheLoop(goalModel, wordCountModel, percentModel):
global goal
while keepGoing:
try: goal = int(goalModel.Text)
except: goal = 0
updateCount(wordCountModel, percentModel)
time.sleep(waittime)
if not socket:
import threading
class UpdaterThread(threading.Thread):
def __init__(self, goalModel, wordCountModel, percentModel):
threading.Thread.__init__(self)
self.goalModel = goalModel
self.wordCountModel = wordCountModel
self.percentModel = percentModel
def run(self):
loopTheLoop(self.goalModel, self.wordCountModel, self.percentModel)
def wordCount(arg = None):
'''Displays a continuously updating word count.'''
dialogModel = smgr.createInstanceWithContext('com.sun.star.awt.UnoControlDialogModel', ctx)
dialogModel.PositionX = XSCRIPTCONTEXT.getDocument().CurrentController.Frame.ContainerWindow.PosSize.Width / 2.2 - 105
dialogModel.Width = 100
dialogModel.Height = 30
dialogModel.Title = 'Word Count'
lblWc = addControl('com.sun.star.awt.UnoControlFixedTextModel', dialogModel, 6, 2, 25, 14, '', 'lblWc')
lblWc.Align = 2 # Align right
addControl('com.sun.star.awt.UnoControlFixedTextModel', dialogModel, 33, 2, 10, 14, ' / ')
txtGoal = addControl('com.sun.star.awt.UnoControlEditModel', dialogModel, 45, 1, 25, 12, '', 'txtGoal')
txtGoal.Text = goal
#addControl('com.sun.star.awt.UnoControlFixedTextModel', dialogModel, 6, 25, 50, 14, '(percent)', 'lblPercent')
ProgressBar = addControl('com.sun.star.awt.UnoControlProgressBarModel', dialogModel, 6, 15, 88, 10,'' , 'lblPercent')
ProgressBar.ProgressValueMin = 0
ProgressBar.ProgressValueMax =100
#ProgressBar.Border = 2
#ProgressBar.BorderColor = 255
#ProgressBar.FillColor = 255
#ProgressBar.BackgroundColor = 255
addControl('com.sun.star.awt.UnoControlFixedTextModel', dialogModel, 124, 2, 12, 14, '', 'lblMinus')
controlContainer = smgr.createInstanceWithContext('com.sun.star.awt.UnoControlDialog', ctx)
controlContainer.setModel(dialogModel)
controlContainer.addTopWindowListener(WindowClosingListener())
controlContainer.setVisible(True)
goalModel = controlContainer.getControl('txtGoal').getModel()
wordCountModel = controlContainer.getControl('lblWc').getModel()
percentModel = controlContainer.getControl('lblPercent').getModel()
ProgressBar.ProgressValue = percentModel.ProgressValue
if socket:
loopTheLoop(goalModel, wordCountModel, percentModel)
else:
uthread = UpdaterThread(goalModel, wordCountModel, percentModel)
uthread.start()
keepGoing = True
if socket:
wordCount()
else:
g_exportedScripts = wordCount,
Link for more info
https://superuser.com/questions/529446/running-word-count-in-openoffice-writer
Hope this helps regards tom
EDIT : Then i found this
http://forum.openoffice.org/en/forum/viewtopic.php?f=7&t=22555
wc can understand Unicode and uses system's iswspace function to find whether the unicode character is whitespace. "The iswspace() function tests whether wc is a wide-character code representing a character of class space in the program's current locale." So, wc -w should be able to correctly count words if your locale (LC_CTYPE) is configured correctly.
The source code of the wc program
The manual page for the iswspace function
I found the answer create one service
#!/bin/sh
#
# chkconfig: 345 99 01
#
# description: your script is a test service
#
(while sleep 1; do
ls pathwithfiles/in | while read file; do
libreoffice --headless -convert-to pdf "pathwithfiles/in/$file" --outdir pathwithfiles/out
rm "pathwithfiles/in/$file"
done
done) &
then the php script that i needed counted everything
$ext = pathinfo($absolute_file_path, PATHINFO_EXTENSION);
if ($ext !== 'txt' && $ext !== 'pdf') {
// Convert to pdf
$tb = mktime() . mt_rand();
$tempfile = 'locationofpdfs/in/' . $tb . '.' . $ext;
copy($absolute_file_path, $tempfile);
$absolute_file_path = 'locationofpdfs/out/' . $tb . '.pdf';
$ext = 'pdf';
while (!is_file($absolute_file_path)) sleep(1);
}
if ($ext !== 'txt') {
// Convert to txt
$tempfile = tempnam(sys_get_temp_dir(), '');
shell_exec('pdftotext "' . $absolute_file_path . '" ' . $tempfile);
$absolute_file_path = $tempfile;
$ext = 'txt';
}
if ($ext === 'txt') {
$seq = '/[\s\.,;:!\? ]+/mu';
$plain = file_get_contents($absolute_file_path);
$plain = preg_replace('#\{{{.*?\}}}#su', "", $plain);
$str = preg_replace($seq, '', $plain);
$chars = count(preg_split('//u', $str, -1, PREG_SPLIT_NO_EMPTY));
$words = count(preg_split($seq, $plain, -1, PREG_SPLIT_NO_EMPTY));
if ($words === 0) return $chars;
if ($chars / $words > 10) $words = $chars;
return $words;
}
I am working on a UNIX box, and trying to run an application, which gives some debug logs to the standard output. I have redirected this output to a log file, but now wish to get the lines where the error is being shown.
My problem here is that a simple
cat output.log | grep FAIL
does not help out. As this shows only the lines which have FAIL in them. I want some more information along with this. Like the 2-3 lines above this line with FAIL. Is there any way to do this via a simple shell command? I would like to have a single command line (can have pipes) to do the above.
grep -C 3 FAIL output.log
Note that this also gets rid of the useless use of cat (UUOC).
grep -A $NUM
This will print $NUM lines of trailing context after matches.
-B $NUM prints leading context.
man grep is your best friend.
So in your case:
cat log | grep -A 3 -B 3 FAIL
I have two implementations of what I call sgrep, one in Perl, one using just pre-Perl (pre-GNU) standard Unix commands. If you've got GNU grep, you've no particular need of these. It would be more complex to deal with forwards and backwards context searches, but that might be a useful exercise.
Perl solution:
#!/usr/perl/v5.8.8/bin/perl -w
#
# #(#)$Id: sgrep.pl,v 1.6 2007/09/18 22:55:20 jleffler Exp $
#
# Perl-based SGREP (special grep) command
#
# Print lines around the line that matches (by default, 3 before and 3 after).
# By default, include file names if more than one file to search.
#
# Options:
# -b n1 Print n1 lines before match
# -f n2 Print n2 lines following match
# -n Print line numbers
# -h Do not print file names
# -H Do print file names
use strict;
use constant debug => 0;
use Getopt::Std;
my(%opts);
sub usage
{
print STDERR "Usage: $0 [-hnH] [-b n1] [-f n2] pattern [file ...]\n";
exit 1;
}
usage unless getopts('hnf:b:H', \%opts);
usage unless #ARGV >= 1;
if ($opts{h} && $opts{H})
{
print STDERR "$0: mutually exclusive options -h and -H specified\n";
exit 1;
}
my $op = shift;
print "# regex = $op\n" if debug;
# print file names if -h omitted and more than one argument
$opts{F} = (defined $opts{H} || (!defined $opts{h} and scalar #ARGV > 1)) ? 1 : 0;
$opts{n} = 0 unless defined $opts{n};
my $before = (defined $opts{b}) ? $opts{b} + 0 : 3;
my $after = (defined $opts{f}) ? $opts{f} + 0 : 3;
print "# before = $before; after = $after\n" if debug;
my #lines = (); # Accumulated lines
my $tail = 0; # Line number of last line in list
my $tbp_1 = 0; # First line to be printed
my $tbp_2 = 0; # Last line to be printed
# Print lines from #lines in the range $tbp_1 .. $tbp_2,
# leaving $leave lines in the array for future use.
sub print_leaving
{
my ($leave) = #_;
while (scalar(#lines) > $leave)
{
my $line = shift #lines;
my $curr = $tail - scalar(#lines);
if ($tbp_1 <= $curr && $curr <= $tbp_2)
{
print "$ARGV:" if $opts{F};
print "$curr:" if $opts{n};
print $line;
}
}
}
# General logic:
# Accumulate each line at end of #lines.
# ** If current line matches, record range that needs printing
# ** When the line array contains enough lines, pop line off front and,
# if it needs printing, print it.
# At end of file, empty line array, printing requisite accumulated lines.
while (<>)
{
# Add this line to the accumulated lines
push #lines, $_;
$tail = $.;
printf "# array: N = %d, last = $tail: %s", scalar(#lines), $_ if debug > 1;
if (m/$op/o)
{
# This line matches - set range to be printed
my $lo = $. - $before;
$tbp_1 = $lo if ($lo > $tbp_2);
$tbp_2 = $. + $after;
print "# $. MATCH: print range $tbp_1 .. $tbp_2\n" if debug;
}
# Print out any accumulated lines that need printing
# Leave $before lines in array.
print_leaving($before);
}
continue
{
if (eof)
{
# Print out any accumulated lines that need printing
print_leaving(0);
# Reset for next file
close ARGV;
$tbp_1 = 0;
$tbp_2 = 0;
$tail = 0;
#lines = ();
}
}
Pre-Perl Unix solution (using plain ed, sed, and sort - though it uses getopt which was not necessarily available back then):
#!/bin/ksh
#
# #(#)$Id: old.sgrep.sh,v 1.5 2007/09/15 22:15:43 jleffler Exp $
#
# Special grep
# Finds a pattern and prints lines either side of the pattern
# Line numbers are always produced by ed (substitute for grep),
# which allows us to eliminate duplicate lines cleanly. If the
# user did not ask for numbers, these are then stripped out.
#
# BUG: if the pattern occurs in in the first line or two and
# the number of lines to go back is larger than the line number,
# it fails dismally.
set -- `getopt "f:b:hn" "$#"`
case $# in
0) echo "Usage: $0 [-hn] [-f x] [-b y] pattern [files]" >&2
exit 1;;
esac
# Tab required - at least with sed (perl would be different)
# But then the whole problem would be different if implemented in Perl.
number="'s/^\\([0-9][0-9]*\\) /\\1:/'"
filename="'s%^%%'" # No-op for sed
f=3
b=3
nflag=no
hflag=no
while [ $# -gt 0 ]
do
case $1 in
-f) f=$2; shift 2;;
-b) b=$2; shift 2;;
-n) nflag=yes; shift;;
-h) hflag=yes; shift;;
--) shift; break;;
*) echo "Unknown option $1" >&2
exit 1;;
esac
done
pattern="${1:?'No pattern'}"
shift
case $# in
0) tmp=${TMPDIR:-/tmp}/`basename $0`.$$
trap "rm -f $tmp ; exit 1" 0
cat - >$tmp
set -- $tmp
sort="sort -t: -u +0n -1"
;;
*) filename="'s%^%'\$file:%"
sort="sort -t: -u +1n -2"
;;
esac
case $nflag in
yes) num_remove='s/[0-9][0-9]*://';;
no) num_remove='s/^//';;
esac
case $hflag in
yes) fileremove='s%^$file:%%';;
no) fileremove='s/^//';;
esac
for file in $*
do
echo "g/$pattern/.-${b},.+${f}n" |
ed - $file |
eval sed -e "$number" -e "$filename" |
$sort |
eval sed -e "$fileremove" -e "$num_remove"
done
rm -f $tmp
trap 0
exit 0
The shell version of sgrep was written in February 1989, and bug fixed in May 1989. It then remained unchanged except for an administrative change (SCCS to RCS transition) in 1997 until 2007, when I added the -h option. I switched to the Perl version in 2007.
http://thedailywtf.com/Articles/The_Complicator_0x27_s_Gloves.aspx
You can use sed to print specific lines, lets say you want line 20
sed '20 p' -n FILE_YOU_WANT_THE_LINE_FROM
Done.
-n prevents echoing lines from the file. The part in quotes is a sed rule to apply, it specifies that you want the rule to apply to line 20, and you want to print.
With GNU grep on Windows:
$ grep --context 3 FAIL output.log
$ grep --help | grep context
-B, --before-context=NUM print NUM lines of leading context
-A, --after-context=NUM print NUM lines of trailing context
-C, --context=NUM print NUM lines of output context
-NUM same as --context=NUM