GeauxEric

# https://leetcode.com/problems/ugly-number-ii/

class Solution(object):
    def nthUglyNumber(self, n):
        """
        :type n: int
        :rtype: int
        """
        if n < 5:
            return n

GeauxEric

#include <regex>
#include <iostream>
#include <string>
#include <fstream>

using namespace std;

int main()
{
  string line {"ATOM      1  N   ILE C   1      31.399  11.874  36.182  1.00  0.00"};

GeauxEric

#include <string>
#include <iostream>
#include <stdio.h>

/**
 *   \file check_output.cpp
 *   \brief a cpp function just like the subprocess32.check_output() in python
 *
 *  see http://stackoverflow.com/questions/478898/how-to-execute-a-command-and-get-output-of-command-within-c
 *

GeauxEric

(define (add-stream s1 s2)
  (stream-map + s1 s2))

(define s (cons-stream 1 (add-stream s s)))
(stream-ref s 2)

(stream-ref s 5)

(define (mul-stream s1 s2)
  (stream-map * s1 s2))

GeauxEric

 #!/bin/bash

 #PBS -q workq
 #PBS -j oe

 ## user specified
 #PBS -l nodes=1:ppn=16
 #PBS -l walltime=72:00:00
 #send an email after job aborts or ends
 #PBS -M yding8@lsu.edu

GeauxEric

import re
def readReport(fn):
     """
     read the report file generated by running docking and extract the
     """
     ifn = fn
     lines = open(ifn, 'r').readlines()

     pattern = 'temp #'
     temps = [float(line.split()[-1]) for line in lines if re.match(pattern, line)]

GeauxEric

# see http://stackoverflow.com/questions/25239958/impute-categorical-missing-values-in-scikit-learn/25562948#25562948

import pandas as pd
import numpy as np

from sklearn.base import TransformerMixin

class DataFrameImputer(TransformerMixin):

    def __init__(self):