jkawk.py
====================
**SOURCE:** :download:`jkawk.py <//home/cam1/projects/utils/jkawk.py>`

jkawk.py is a awk emulator written in python. Awk is a line editor,
which basically executes some code on every line of a file. While Awk
is very powerful, it is cumbersome in that one needs to learn yet
another syntax. This is circumvented with jkawk.py, which functions
like Awk but takes python syntax. Some basic things to know:

* Every line is stored as a string named **ii**.

* Every line is converted into a list called **l**.

  * If all entries on a line are numbers, everything is floated.

* The file can be piped or appear anywhere on the command line.

* The variable **NR** gives the row number.

* The variable **NF** is the number of fields in the row.

* The path is given by the variable **path**.

* The working directory is given by **cwd**.

* Each line is successively stored in a list-of-list named **m**.

* Each line is successively stored in a string named **t**.

* One may do preprocessing by given a string which starts as "b-print 'hello world'".

* One may do postprocessing by given a string which starts as "e-print 'hello world'".

* If you are writing conditionals or loops, you may need to indent. You can directly tpye \\n to create a new line, or use the convenient shortcut of "|".  For example, we could do a preprocessing step:

.. code-block:: bash

  $ jkawk.py 'b-for i in range(40):|  for j in range(40):print i,j'

* For convenience, the often typed "print" can be replaced by the shortcut **pp**.

Let us now look at some silly examples:

* Print the 1st and 3rd column of a file while adding 5 to the first column:

.. code-block:: bash

  $ jkwawk.py 'pp l[0]+5,l[2]'

* Split a string and do something:

.. code-block:: bash

  $ echo one/two/three 4 5 | jkawk.py 'pp l[0].split("/")[-1],l[-1]+2'
  $ --> three 7.0

* Take the derivative of a function:

.. code-block:: bash

  $ jkawk.py 'if NF>1 and NR>1:pp l[0],(l[1]-m[-2][1])/(l[0]-m[-2][0])'

* Fold text such that the following $1 rows below the first are shifted to the first row, etc:

.. code-block:: bash

  $ jkawk.py 'b-a=0' 'print ii, |if a=='$1':print "";a=0 |else: a+=1'

* Transpose a file:

.. code-block:: bash

  $ jkawk.py 'e-for i in range(len(m[0])): |  for j in range(len(m)):print m[j][i],|  print ""'

* Integrate a function which is given on a uniform grid:

.. code-block:: bash

  # echo this print the zerothe and first moments for functions x y1 y2 y3 y4...
  # echo output is x y1m0 y1m1 y2m0 y2m1...
  $ jkawk.py 'e-dw=m[1][0]-m[0][0];ss=[0]*NF;sm=[0]*NF |for i in m: | print "%.5f"%i[0],| 
              for j in range(NF-1): ss[j]+=i[j+1]*dw;sm[j]+=i[j+1]*i[0]*dw;
              print "%.5f %.5f"%(ss[j],sm[j]), | print ""'


inputs.py
===============
**SOURCE:** :download:`inputs.py <//home/cam1/projects/utils/inputs.py>`

This is the main class that I use to handle inputs variables. 
The docstrings have a fair amount of information so hopefully this is clear.
Example usage would be::

  from inputs import inputs

  av=inputs("U=float dos=bool t=1.0 ")

  av.update(sys.argv[1:])

  if dir(av).count("U"):print "U=%s and t=%s"%(av.U,av.t)

.. automodule:: inputs
   :members:


robo_run.py
====================



webscitobib.py 
=================== 
arxiv_to_bib.py 


mysub.py 
=================== 
These are a few simple routines that may be useful. The documentation is
given in the docstrings.

.. automodule:: mysub
   :members:


generate_machs.py
=========================

This is a simple script to generate info about our cluster. It prints the machine information in four formats, depending on which options you select at the prompt:

1. .ssh/config: This will ask some questions about your network configuration (whether you're on grandcentral, your username, etc.) then prepare a file for ~/.ssh/config for each machine in the cluster. It does not overwrite any other machines in ~/.ssh/config, unless they happen to have the same name as one of the machines in the cluster.

2. machlist : This prints out a list of machines for boomerang. 

3. ping: Lets you know which machines are not responsive
   
4. rst: This prints out a table of each machine, IP address, etc. for inclusion in the group documentation.

Cluster scripts
==================
See "New computers and users" for documentation and how to use this script.


Simple Scripts
=================== 
rme.py 
random_sub.py 
prow.py 
pcol.py 
len 
getvalue 
format.py 
format.sh 
derivative.py 
derivative.sh 
interpolate.py 
cumul.py 
cumul.sh 
convolve.py 
tam.py