Run Python File¶
Description¶
Execute the specified file as Python source code.
Available Modules and Functions
Python code executed by Run Python File, Run Python String, a Python File Resource, or the expression parser functions
py_eval
and py_call
can make use of both the Python standard
library and NumPy. In addition, the following MWorks-specific
functions are available:
getvar(name)
Returns the value of an MWorks variable.
name
is a string containing the name of the variable.setvar(name, value)
Sets the value of an MWorks variable.
name
is a string containing the name of the variable, andvalue
is the new value to assign.getcodec()
Returns the code-to-name mapping for variables (as a dictionary).
get_reverse_codec()
Returns the name-to-code mapping for variables (as a dictionary).
register_event_callback(name, callback)
Registers an event callback function for an MWorks variable.
name
is a string containing the name of the variable, andcallback
is a Python function as described below.register_event_callback(code, callback)
Registers an event callback function for an MWorks variable.
code
is the integer code corresponding to the variable, andcallback
is a Python function as described below.register_event_callback(callback)
Registers an event callback function for all MWorks variables.
callback
is a Python function as described below. (Note: The callback function will be invoked very, very frequently. Use with caution!)unregister_event_callbacks()
Unregisters all event callback functions previously registered via Python code.
message(msg)
Generates a normal MWorks message (like Report / Message).
msg
can be any value, which, after conversion to a string, is used as the text of the message.warning(msg)
Generates an MWorks warning message.
msg
can be any value, which, after conversion to a string, is used as the text of the message.error(msg)
Generates an MWorks error message.
msg
can be any value, which, after conversion to a string, is used as the text of the message.
Event callback functions are invoked whenever a value is assigned to the
variable of interest. They receive a single argument of type Event
,
which has attributes code
, time
, and data
. The values of
code
and time
are always integers, while the value of data
can
be a boolean, integer, float, string, list, or dictionary.
All MWorks-specific functions are pre-imported in to the __main__
module, in which the user-provided Python file or string executes. To use
them in other modules, import them from mworkscore
, e.g.
from mworkscore import getvar, setvar
Execution Environment
All user-provided Python code is executed within Python’s __main__
module. This means that any variables, functions, classes, etc. defined by
one Python action or resource file are available to all subsequent ones.
Due to limitations in the Python interpreter, the Python environment is not reset when a new experiment is loaded. If your Python code expects to run in a “clean slate” environment, it will have to perform the necessary cleanup actions itself.
Also, event callback functions are never unregistered automatically. They
must be removed explicitly via unregister_event_callbacks()
.
Signature¶
action/run_python_file
Optional Parameters¶
stop_on_failure¶
- Default
NO
If YES
, the experiment will stop automatically if Python execution fails
Placement¶
Allowed at top level: |
No |
---|---|
Allowed parent: |
Block, Conditionally Execute Actions (if), List, Protocol, Repeat Actions (while), Schedule Actions, Task System State, Trial, Unconditionally Execute Actions (else), Variable |