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Description:

killdupes 0.1.6

Python version support: CPython 2.6, 2.7, 3.2, 3.3, 3.4 and PyPy.

How it works
killdupes scans your filesystem to find duplicate files, partial files
and empty files.
It performs n:n comparison of files through md5 hashing and heavy use of
dictionaries.
Execute with wildcard, or input file containing file names to check.
The method:

Scan all files, find the smallest.
Read read size amount of bytes (equal to the remaining size of the
smallest file, or at most CHUNK size) from all files into records.
Hash all records, use hashes as keys into offsets[current_offset] dict.
Files in the same bucket are known to be equal up to this offset.
Continue until at least two files remain that are still equal at all
offsets.
Equal files are either a duplicate case (if they are the same size), or
one is partial relative to the other (if not the same size).

Memory consumption should not exceed files_in_bucket * read_size.
The algorithm adapts to file changes; it will read all files until eof regardless
of the filesize as recorded at startup.

Installation
$ pip install killdupes

Usage
$ killdupes.py 'tests/samples/*'
Empty files:
X 0.0 B 14.03.14 17:39:48 tests/samples/empty
Incompletes:
= 2.0 B 14.03.14 18:17:43 tests/samples/full
X 1.0 B 14.03.14 18:17:26 tests/samples/partial
Duplicates:
= 2.0 B 14.03.14 18:17:43 tests/samples/full
X 2.0 B 14.03.14 18:17:37 tests/samples/full2
Kill files? (all/empty/incompletes/duplicates) [a/e/i/d/N]
If there are many files to scan it will display a progress dashboard while
working:
176.1 KB | Offs 0.0 B | Buck 1/1 | File 193868/600084 | Rs 1.0 B
The dashboard fields:

Total bytes read
Current offset of reading
Current number of buckets
File/files in this bucket
Readsize at this offset