I have made several attempts to read two files of ip addresses and eliminate records from file1 that are in file2.
My latest attempt follows. Everything works except my file3 is exactly the same as file1 and it should not be.
# !/usr/bin/bash
#
# NoInterfaces
# Utility will create a file... (8 Replies)
Hi,
My first post to this group...
I have a need to to parse a source file which is a capture from a network analyser.
I have two fields that need to be checked:
- Field 7 represents the packet length (an integer), and
Field 4 represents a network address (e.g. 192.168.25.3)
- The... (10 Replies)
Need a script that manipulates a fixed length file that will compare 2 fields in that file and if they are equal write that line to a new file.
i.e. If fields 87-93 = fields 119-125, then write the entire line to a new file. Do this for every line in the file. After we get only the fields... (1 Reply)
Hi unix gurus,
I have a urgent requirement, I need to write a AWK script to compare each fields in 2 files using AWK.
Basically my output should be like this.
file1
row|num1|num2|num3
1|one|two|three
2|one|two|three
file2
row|num1|num2|num3
1|one|two|three
2|one|two|four
... (5 Replies)
Hi All,
Looking for a quick AWK script to output some differences between two files.
FILE1
device1 1.1.1.1 PINGS
device1 2.2.2.2 PINGS
FILE2
2862 SITE1 device1-prod 1.1.1.1 icmp - 0 ... (4 Replies)
Attached is a file called diff.txt
It is the output from this command:
diff -y --suppress-common-lines --width=5000 1.txt 2.txt > diff.txt
I have also attached 1.txt and 2.txt for your convenience.
Both 1.txt and 2.txt contain one very long CSV string.
File 1.txt is a CSV dump of... (0 Replies)
Hi all !
If there is only one single value in a column (e.g. column 1 below), then return this value in the same output column.
If there are several values in the same column (e.g. column 2 below), then return the different values separated by "," in the output.
pipe-separated input:
... (11 Replies)
I'm trying to compare 2 files for differences in a selct number of fields. When differnces are found it will write the whole record of the second file including appending '|C' out to a delta file. Each record will have 20 fields, but only want to do comparison of 1st 15 fields. The 1st field of... (7 Replies)
Hello experts!
I have 2 files.
file1 is a list file containing uniquely names. e.g.:
name1 number number
name2 number number
name5 number number
name10 number number
...
file2 is a data file arbitrary containing the names of file1 in paragraphs separated by "10" e.g.
name4 ... (3 Replies)
I have two files:
smw:/working/iso_testing # cat a
QConvergeConsoleCLI-1.1.03-49.x86_64.rpm
aaa_base-13.2+git20140911.61c1681-1.3.i586.rpm
acpica-20140724-2.1.2.i586.rpm
test.rpm
smw:/working/iso_testing # cat b
QConvergeConsoleCLI-1.1.03-49.x86_64.rpm... (12 Replies)
Discussion started by: jedlund21
12 Replies
LEARN ABOUT DEBIAN
numm.spectral-analysis
spectral-analysis(7) Numm Tutorials spectral-analysis(7)NAME
spectral analysis - perform realtime spectral analysis
SYNOPSIS
numm-run FILE
DESCRIPTION
Frequency makes for a meaningful description of many audio signals. We can use numpy's fourier analysis to compute spectra from the micro-
phone and display the results visually. We will break down the process into smaller parts: baby steps...
First, create and save a skeletal file that moves a line across the screen:
idx = 0
def video_out(a):
global idx
a[:,idx] = 255
idx = (idx + 1) % a.shape[1]
def audio_in(a):
pass
Save this snippet and run it with numm-run.
We will use the numpy.fft module for our analysis. First we define a function to get a particular frequency from the fourier transform:
import numpy as np
def get_freq(fourier, frequency):
freqs = np.fft.fftfreq(len(fourier), 1/44100.0)
nearest = (abs(freqs - frequency)).argmin()
return abs(fourier[nearest])
Next, we hook up this function to audio input from the microphone. A frequency bin is chosen on a log scale for each row on the screen to
display a spectogram. In total:
import numpy as np
idx = 0
recent_audio = np.zeros(4096, np.int16)
recent_video = np.zeros((240,320,3), np.uint8)
freq_bins = np.exp2(np.linspace(np.log2(27000),np.log2(27),240))
def get_freq(fourier, frequency):
freqs = np.fft.fftfreq(len(fourier), 1/44100.0)
nearest = (abs(freqs - frequency)).argmin()
return abs(fourier[nearest])
def video_out(a):
global idx
fourier=np.fft.fft(recent_audio)
values =np.array([get_freq(fourier,X) for X in freq_bins])
recent_video[:,idx,1] = (values/10000).clip(0,255)
idx = (idx + 1) % a.shape[1]
a[:] = np.roll(recent_video, -idx, axis=1)
def audio_in(a):
recent_audio[:] = np.roll(recent_audio, len(a))
recent_audio[:len(a)] = a.mean(axis=1)
SEE ALSO numm-run(1), numm.getting-started(7), numm.one-bit-instrument(7)numm February 2012 spectral-analysis(7)