- Adding "classifiers" field to Metric objects. This is a dict mapping
classifier names (arbitrary strings) to corresponding values for that
specific metrics. This is to allow extensions to add
extension-specific annotations to metric that could be handled in a
generic way (e.g. by result processors).
- Updating telemetry workload to add classifiers for the url and internal
iteration (or "time") for a particular result.
- Updating csv result processor with the option to use classifiers to
add columns to results.csv (either using all classifiers found, or
only for the specific ones listed).
cpuidle module implements cpuidle state discovery, query and
manipulation for a Linux device. This replaces the more primitive
get_cpuidle_states method of LinuxDevice.
Renamed APIs (and added a couple of new ones) to be more consistent:
"core" APIs take a core name as the parameter (e.g. "a15") or whatever
is listed in core_names for that device.
"cluster" APIs take a numeric cluster ID (eg. 0) as the parameter. These
get mapped using core_clusters for that device.
"cpu" APIs take a cpufreq cpu ID as a parameter. These could be
integers, e.g. 0, or full string id, e.g. "cpu0".
The internal ABI for ipython has changed between ipython version 2 and
3. In its current state, the result processor only works with IPython
version 2, so fail if the user wants to use the result processor with
the wrong version.
Abstract the ipython interface to a file so that we can make it support
versions 2 and 3 at the same time.
This result processor displays a desktop notification when the run
finishes. It's useful when you are running a long agenda in WA and want
to be notified when the results are available.
