Difference between revisions of "CompSciWeek4"
(→Homework 3 - due Monday, Sept. 22) |
|||
Line 93: | Line 93: | ||
degree)? |
degree)? |
||
* Problems from Algorithms in Python: |
* Problems from Algorithms in Python: |
||
− | ** 2-4 |
||
+ | ** 2-4 (read the text definition of big-O notation) |
||
− | ** 2-7 (write and turn in a test code for each case mentioned) |
+ | ** 2-7 (write and turn in a test code for each case mentioned -- see above) |
** 2-10 |
** 2-10 |
||
− | ** 2-12 |
||
+ | *** The question describes a binary tree. Internal nodes are nodes with two children. Leaf nodes have no children. Try drawing some trees to get a sense of the answer for this one. |
||
+ | ** 2-12 The idea of weighted edges is to add information to the graph, e.g. 42 steps between node u and node v. |
||
+ | *** Specifically, explain how looking up children of a given node would work in this representation (how complicated is finding all children of node 'u'). |
Revision as of 13:23, 18 September 2014
Contents
Reading Assignment
- Algorithms, Chapter 2-3
Class 1: Formal Proofs
- Complexity Notation
- Rules - state assumptions, use logical operations on assumptions
- Modus Ponens - (a, a =>b) => b
- Modus Tollens - (a => b, ~b) => ~a
- Disjunctive Syllogism - ((a v b), ~a) => b
- Contradiction - (a, ~a) => Yikes!
ex. from 1+1 = 1, prove that I am the Pope. A: The Pope and I make 2, but 1+1 = 1, so I and the Pope are one and the same.
- Anything that proves a false statement is false.
- If a then False => ~a
- Induction
Class 2: Using HPC Resources
- accessing binaries and libraries, using modules
- using scratch space
- submitting a job script
- managing queued jobs
- advanced scripting tips and tricks
Profiling and Plotting Code
lib/ltime.py <source lang="python">
- Functions to time
from random import random
def lappend(n): l = [1]*n l.append(random())
def lmod(n): l = [1]*n l[0] = random()
def make_list(n): l = [1]*n
def rand(n): random() </source>
Make sure that PYTHONPATH includes your lib directory (where ltime.py lives), e.g.
PYTHONPATH=/usr/lib/python2.7/site-packages:$HOME/scicomp/lib
time.sh <source lang="bash">
- !/bin/bash
if [ $# -ne 1 ]; then
echo "Usage: $0 <function name from ltime.py>" exit 1
fi
cmd=$1
k=1 for((n=1;n<8;n++)); do
echo -n "$k " python -m timeit -s"import ltime as m;" "m.$cmd($k)" | sed 's/.*[^0-9]\([0-9]*\.\)/\1/; s/ usec.*//;' k=$(($k*2))
done </source>
analyze.py <source lang="python"> from numpy import * import sys, pylab
assert len(sys.argv) == 2, "Usage: %s <function name>"%sys.argv[0]
name = sys.argv[1] x = fromfile(name+".dat", sep=' ') x = reshape(x, (-1,2)) pylab.plot(x[:,0], x[:,1]) pylab.savefig(name+".png") </source>
Both the shell and python scripts above have been modified from the version in class to show how to read command-line arguments. In the shell, the number of arguments is in the variable $#, and the if statement checks for the right usage. $0 is the program name and is not counted in $#. In python, the arguments are in the list, sys.argv, sys.argv[0] is the program name, and is counted in len(sys.argv). The assert statement checks for the right usage, and immediately terminates with an error (raises an AssertionError exception) if the assertion fails.
Homework 3 - due Monday, Sept. 22
- Coding Problems
- Write a code to build a graph representation of what's inside the /usr/share/X11 directory on circe. Use (os.walk and/or os.listdir, os.path.join).
- How many directories are there total?
- What is the maximum depth, counting files and dirs so the depth of a dir with no files/subdirs = 0, and with any files/subdirs = 1?
- How many references are there to each directory -- node in-degree? (ignore symlinks)
- What is the maximum number of references from a directory (i.e. maximum out-
- Write a code to build a graph representation of what's inside the /usr/share/X11 directory on circe. Use (os.walk and/or os.listdir, os.path.join).
degree)?
- Problems from Algorithms in Python:
- 2-4 (read the text definition of big-O notation)
- 2-7 (write and turn in a test code for each case mentioned -- see above)
- 2-10
- The question describes a binary tree. Internal nodes are nodes with two children. Leaf nodes have no children. Try drawing some trees to get a sense of the answer for this one.
- 2-12 The idea of weighted edges is to add information to the graph, e.g. 42 steps between node u and node v.
- Specifically, explain how looking up children of a given node would work in this representation (how complicated is finding all children of node 'u').