Factor out maximum k-size as KSIZE_MAX and throw a python exception if the user supplies a larger one to the hash functions
Update test_counting_hash.py

Very small change to fix a copy paste comment error.
Update ChangeLog
Update ChangeLog

Fixed Formatting Issue (Two spaces instead of one)
Merge pull request #661 from jgluck/master

Update test_counting_hash.py (Fixing a ctr+v error)
add code of conduct
clarify notification process
wording tweaks courtesy @ctb & @camillescott
Merge pull request #664 from ged-lab/feature/code-of-conduct

add code of conduct
Merge branch 'master' of https://github.com/ged-lab/khmer into fix/658
Update ChangeLog for fix for Issue 658
Merge pull request #663 from pgarland/fix/658

Fix Issue 658, max ksize silliness in the C++ code
added new sandbox scripts, collect-reads and slice-reads-by-coverage, into README
changelog update
Merge pull request #595 from ged-lab/cleanup/sandbox

Further cleanup of sandbox/ scripts.
Close open file handles in load-into-counting.py

We now use `with open(X) as y:` which automatically handles the closing
of files.
Add a tab-seperated output to load-into-counting

This adds a CLI flag to load-into-counting.py allowing it to output the
FPR, total number of distinct k-mers (cm-sketch occupancy) and input
files in a machine/R/excel readable format to save us from resorting to
regex hacks to pull this info out of out.kh.info etc.

I've also make the info files contain all files used as input.

I've also also added a test of the tsv creation behaviour.

Changes:
	modified:   scripts/load-into-counting.py:
			new cli flag, write all inputs to .info file
	modified:   tests/test_scripts.py:
			add test of the new cli flag
load-into-counting: Fix typo in "total kmers" line

Writing it to the info file had the wrong sentence.
load-into-counting: Less confusing info print line
load-in2-count: Add json/TSV machine readable info

This changes the CLI flag that enables machine readable info so that to
enalbe this behaviour, you give it an argument of either 'json' or
'tsv'. This allows for a user choice of a versioned, dat-friendly json
or something easy to whack into R and plot.