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Hi,
i would like to add a little clarification to the parameter "data" of i2c.mem_read(): I misunderstood
``data`` can be an integer or a buffer to read into
as "i can give a integer variable to read a integer into" . This pull-request adds the following clarification:
``data`` can be an integer (number of bytes to read) or a buffer to read into
Thanks for your great work!
Best wishes,
Matthias
Currently compilation sporadically fails, because the automatic
dependency gets created *during* the compilation of objects.
OBJ is a auperset of PY_O and the dependencies apply to all objects.
Signed-off-by: Sven Wegener <sven.wegener@stealer.net>
Going from MICROPY_ERROR_REPORTING_NORMAL to
MICROPY_ERROR_REPORTING_TERSE now saves 2020 bytes ROM for ARM Thumb2,
and 2200 bytes ROM for 32-bit x86.
This is about a 2.5% code size reduction for bare-arm.
When compiler optimization has been turned on, gcc knows that this code
block is not going to be executed. But with -O0 it complains about
path_items being used uninitialized.
Signed-off-by: Sven Wegener <sven.wegener@stealer.net>
The specifier should go after the number, before size suffix like 'k' or 'm'.
E.g.: "-X heapsize=100wk" will use 100K heap on 32-bit system and 200K - on
64-bit.
This turns failing assertions to type exceptions for things like
b"123".find(...). We still don't support operations like this on bytes
objects (unlike CPython), but at least it no longer crashes.
Eg b"123" + bytearray(2) now works. This patch actually decreases code
size while adding functionality: 32-bit unix down by 128 bytes, stmhal
down by 84 bytes.
Uninitialised struct members get a default value of 0/false, so this is
not strictly needed. But it actually decreases code size because when
all members are initialised the compiler doesn't need to insert a call
to memset to clear everything. In other words, setting 1 extra member
to 0 uses less code than calling memset.
ROM savings in bytes: 32-bit unix: 100; bare-arm: 44; stmhal: 52.
This build is primarily intended for benchmarking, and may have random
features enabled/disabled to get high scores in synthetic benchmarks.
The intent is to show/prove that MicroPython codebase can compete with
CPython, when configured appropriately. But the main MicroPython aim
still remains to optimize for memory usage (which inevitibly leads to
performance degradation in some areas on some workloads).
