rob-p

/**
MWE for salmon segfault
**/

#include <boost/thread/thread.hpp>

#include <cstdint>
#include <cstdio>
#include <cstring>
#include <fstream>

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#include "concurrentqueue.h"
//#include "blockingconcurrentqueue.h"
#include <thread>
#include <atomic>
#include <vector>
#include <iostream>

using namespace moodycamel ;
using namespace std ;

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from math import *

# function [alpha, xmin, L]=plfit(x, varargin)
# PLFIT fits a power-law distributional model to data.
#    Source: http://www.santafe.edu/~aaronc/powerlaws/
# 
#    PLFIT(x) estimates x_min and alpha according to the goodness-of-fit
#    based method described in Clauset, Shalizi, Newman (2007). x is a 
#    vector of observations of some quantity to which we wish to fit the 
#    power-law distribution p(x) ~  x^-alpha for x >= xmin.

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rob-p

import requests
import argparse
import pprint
import os

def do_upload(args):
    ACCESS_TOKEN = args.token
    depid = args.deposition_id
    url = 'https://zenodo.org/api/deposit/depositions/{}'.format(depid)
    r = requests.get(url, params={'access_token': ACCESS_TOKEN})

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import argparse
import pandas as pd
import numpy as np
import sys

def main(args):
    gtable = pd.read_table(args.ginput).set_index('Name')
    ttable = pd.read_table(args.tinput).set_index('Name')
    tgmap = pd.read_table(args.tgmap, names=['t', 'g']).set_index('t')
    gene_lengths = {}

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#!/bin/bash
set -e

# Activate Holy Build Box environment.
source /hbb_exe/activate

set -x

# Install things we need
yum install -y --quiet wget

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 def effLen(L, pmf, meanLen):
    if L < meanLen:
        return L
    minVal = 0
    maxVal = len(pmf)-1
    mval = maxVal
    clen = minVal
    maxLen = min(L, mval)
    effectiveLength = 0
    while (clen <= maxLen):

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#!/bin/bash

cmd="$@"
interleaved_file=`echo $cmd | sed -n 's/.*--interleaved\s\+\(\S\+\)\s\+.*/\1/p'`

if [ -z "$interleaved_file" ]
then
    #Run normally in this branch
    ${@}
else

rob-p

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• I am rob-p on github.
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To claim this, I am signing this object: