Use numbered subdirectories to avoid having too many files in one dir.
Add appropriate tests.
Also fix an issue where the mmap_open LRU cache could inappropriately
open a file twice because it was using the optional "newsize"
parameter as a key -- now lrucache can be given a slice object that
describes which arguments are important.
We replace cStringIO with StringIO subclass that forces UTF-8
encoding, and explicitly convert commandlines to UTF-8 before
shlex. These changes will only affect tests, not normal commandline
operation.
Spent way too long trying to track down a cryptic error that turned
out to be a CherryPy bug. Now we catch this using a decorator in the
'extract' and 'intervals' generators that transforms exceptions that
trigger the bugs into one that does not. fun!
There's some bug with the testing harness where placing e.g.
from du import du
in nilmdb/utils/__init__.py doesn't quite work -- sometimes the
module "du" replaces the function "du". Not exactly sure why;
we work around that by just renaming files so they don't match
the imported names directly.
test_interval_speed is about O(n * log n), which is good -- but the
constants are high and it hits swap on a 4G machine for the 2**21
test. Hopefully cython helps!
tree.
This is currently hitting an issue where it's considering the
intersection of [0,1] and [1,2] to be [1,1]. It matches the
fully-closed definition of intervals, unlike before -- but might
cause issues. Need to consider whether test case is correct.
git-svn-id: https://bucket.mit.edu/svn/nilm/nilmdb@11355 ddd99763-3ecb-0310-9145-efcb8ce7c51f
Doesn't actually merge them yet; need to change Interval
implementation to allow deletes.
git-svn-id: https://bucket.mit.edu/svn/nilm/nilmdb@11354 ddd99763-3ecb-0310-9145-efcb8ce7c51f
Current/old design has specific layouts: RawData, PrepData,
RawNotchedData.
Let's get rid of this entirely and switch to simpler data types that
are
just collections and counts of a single type. We'll still use strings
to describe them, with format:
type_count
where type is "uint16", "float32", or "float64", and count is an
integer.
nilmdb.layout.named() will parse these strings into the appropriate
handlers. For compatibility:
"RawData" == "uint16_6"
"RawNotchedData" == "uint16_9"
"PrepData" == "float32_8"
git-svn-id: https://bucket.mit.edu/svn/nilm/nilmdb@10981 ddd99763-3ecb-0310-9145-efcb8ce7c51f
