- Now works with earlier versions of the DAQmx driver. This is needed to
be able to run the server on Linux systems, which support older
verisions of the driver only.
- DAQ error messages are now properly propaged to the client (PyDAQmx
uses "mess" rather than "message" attribute to store the message in
the Exception obejects).
- pylint and pep8 fixes
Background processes may produce output on STDOUT. This could get
captured when obtaining the result of "echo $?" to get previos command's
exit code. So it's not safe to assume that output will always be an int.
Attempt to strip out superflous output before doing the int conversion
and, on failure, log a warning but don't error out.
Some options in config_example.py are not reachable. It makes users
confused. So make the options in the file as gobal_alias.
Signed-off-by: zhizhou.zhang <zhizhou.zhang@spreadtrum.com>
added more paths to pull by default when device.get_properties is
invoked during run initialization. Also moved the LinuxDevice
implementation into BaseLinuxDevice, so that AndroidDevice tires to pull
the same files (on top of the Android-specific stuff).
list_or_* functions (e.g. list_or_string) will now always return a list,
however will accept lists or indivitual values. Also added a list_or()
generator function, similar to what already exists for list_of().
- Do not try to use a pager if it explicitly disabled with PAGER='' in
the environment.
- If terminal size is identified as (0, 0), fall back to default (80,
25).
As instrumentation can be enabled/disabled for a specfic workload
execution, it is sometimes not enough to verify that an instrument has
been installed for the run; one might need to check whether it is
currently enabled.
Since a command would still be running on time out, it would prevent
issuing subsequent commands in the same SSH shell, make it look like
the device has become unresponsive.
If a timeout condition is his, send ^C to kill the current foreground
process and make the shell available for subsequent commands.
- 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).
On Unix, pip will change current working directory to whereever it has
extracted the downloaded package. On Mac OSX, it does not appear to do
that. To get around this difference, specify paths in setup.py relative
to the location of setup.py, rather than the current working directory.
