micropython – access and control MicroPython internals¶
Though this MicroPython-based library may be available for use in some builds of CircuitPython, it is unsupported and its functionality may change in the future, perhaps significantly. As CircuitPython continues to develop, it may be changed to comply more closely with the corresponding standard Python library. You will likely need to change your code later if you rely on any non-standard functionality it currently provides.
Used to declare that the expression is a constant so that the compile can optimise it. The use of this function should be as follows:
from micropython import const CONST_X = const(123) CONST_Y = const(2 * CONST_X + 1)
Constants declared this way are still accessible as global variables from outside the module they are declared in. On the other hand, if a constant begins with an underscore then it is hidden, it is not available as a global variable, and does not take up any memory during execution.
constfunction is recognised directly by the MicroPython parser and is provided as part of the
micropythonmodule mainly so that scripts can be written which run under both CPython and MicroPython, by following the above pattern.
If level is given then this function sets the optimisation level for subsequent compilation of scripts, and returns
None. Otherwise it returns the current optimisation level.
The optimisation level controls the following compilation features:
Assertions: at level 0 assertion statements are enabled and compiled into the bytecode; at levels 1 and higher assertions are not compiled.
__debug__variable: at level 0 this variable expands to
True; at levels 1 and higher it expands to
Source-code line numbers: at levels 0, 1 and 2 source-code line number are stored along with the bytecode so that exceptions can report the line number they occurred at; at levels 3 and higher line numbers are not stored.
The default optimisation level is usually level 0.
Print information about currently used memory. If the verbose argument is given then extra information is printed.
The information that is printed is implementation dependent, but currently includes the amount of stack and heap used. In verbose mode it prints out the entire heap indicating which blocks are used and which are free.
Print information about currently interned strings. If the verbose argument is given then extra information is printed.
The information that is printed is implementation dependent, but currently includes the number of interned strings and the amount of RAM they use. In verbose mode it prints out the names of all RAM-interned strings.
Return an integer representing the current amount of stack that is being used. The absolute value of this is not particularly useful, rather it should be used to compute differences in stack usage at different points.
Lock or unlock the heap. When locked no memory allocation can occur and a
MemoryErrorwill be raised if any heap allocation is attempted.
heap_locked()returns a true value if the heap is currently locked.
These functions can be nested, ie
heap_lock()can be called multiple times in a row and the lock-depth will increase, and then
heap_unlock()must be called the same number of times to make the heap available again.
If the REPL becomes active with the heap locked then it will be forcefully unlocked.
heap_locked()is not enabled on most ports by default, requires
Set the character that will raise a
KeyboardInterruptexception. By default this is set to 3 during script execution, corresponding to Ctrl-C. Passing -1 to this function will disable capture of Ctrl-C, and passing 3 will restore it.
This function can be used to prevent the capturing of Ctrl-C on the incoming stream of characters that is usually used for the REPL, in case that stream is used for other purposes.
- micropython.schedule(func, arg)¶
Schedule the function func to be executed “very soon”. The function is passed the value arg as its single argument. “Very soon” means that the MicroPython runtime will do its best to execute the function at the earliest possible time, given that it is also trying to be efficient, and that the following conditions hold:
A scheduled function will never preempt another scheduled function.
Scheduled functions are always executed “between opcodes” which means that all fundamental Python operations (such as appending to a list) are guaranteed to be atomic.
A given port may define “critical regions” within which scheduled functions will never be executed. Functions may be scheduled within a critical region but they will not be executed until that region is exited. An example of a critical region is a preempting interrupt handler (an IRQ).
A use for this function is to schedule a callback from a preempting IRQ. Such an IRQ puts restrictions on the code that runs in the IRQ (for example the heap may be locked) and scheduling a function to call later will lift those restrictions.
schedule()is called from a preempting IRQ, when memory allocation is not allowed and the callback to be passed to
schedule()is a bound method, passing this directly will fail. This is because creating a reference to a bound method causes memory allocation. A solution is to create a reference to the method in the class constructor and to pass that reference to