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2021-03-11py/nlr: Implement NLR for AArch64.Yonatan Goldschmidt
2020-02-28all: Add *FORMAT-OFF* in various places.Damien George
This string is recognised by uncrustify, to disable formatting in the region marked by these comments. This is necessary in the qstrdef*.h files to prevent modification of the strings within the Q(...). In other places it is used to prevent excessive reformatting that would make the code less readable.
2019-10-22powerpc: Add initial port to bare metal PowerPC arch.Michael Neuling
Runs in microwatt (GHDL and FPGA) and qemu. Port done initially by Michael Neuling, with help from Anton Blanchard and Jordan Niethe.
2019-10-05py: Add new Xtensa-Windowed arch for native emitter.Damien George
Enabled via the configuration MICROPY_EMIT_XTENSAWIN.
2019-09-26py/nlr.h: Factor out constants to specific macros.Damien George
2019-06-19py/nlrthumb: Save and restore VFP registers s16-s21 when CPU has them.Damien George
These s16-s21 registers are used by gcc so need to be saved. Future versions of gcc (beyond v9.1.0), or other compilers, may eventually need additional registers saved/restored. See issue #4844.
2017-12-29py/nlr: Fix nlr functions for 64bit ports built with gcc on Windowsstijn
The number of registers used should be 10, not 12, to match the assembly code in nlrx64.c. With this change the 64bit mingw builds don't need to use the setjmp implementation, and this fixes miscellaneous crashes and assertion failures as reported in #1751 for instance. To avoid mistakes in the future where something gcc-related for Windows only gets fixed for one particular compiler/environment combination, make use of a MICROPY_NLR_OS_WINDOWS macro. To make sure everything nlr-related is now ok when built with gcc this has been verified with: - unix port built with gcc on Cygwin (i686-pc-cygwin-gcc and x86_64-pc-cygwin-gcc, version 6.4.0) - windows port built with mingw-w64's gcc from Cygwin (i686-w64-mingw32-gcc and x86_64-w64-mingw32-gcc, version 6.4.0) and MSYS2 (like the ones on Cygwin but version 7.2.0)
2017-12-28py/nlr: Factor out common NLR code to macro and generic funcs in nlr.c.Damien George
Each NLR implementation (Thumb, x86, x64, xtensa, setjmp) duplicates a lot of the NLR code, specifically that dealing with pushing and popping the NLR pointer to maintain the linked-list of NLR buffers. This patch factors all of that code out of the specific implementations into generic functions in nlr.c, along with a helper macro in nlr.h. This eliminates duplicated code.
2017-12-28py/nlr: Clean up selection and config of NLR implementation.Damien George
If MICROPY_NLR_SETJMP is not enabled and the machine is auto-detected then nlr.h now defines some convenience macros for the individual NLR implementations to use (eg MICROPY_NLR_THUMB). This keeps nlr.h and the implementation in sync, and also makes the nlr_buf_t struct easier to read.
2017-12-26Revert "py/nlr: Factor out common NLR code to generic functions."Paul Sokolovsky
This reverts commit 6a3a742a6c9caaa2be0fd0aac7a5df4ac816081c. The above commit has number of faults starting from the motivation down to the actual implementation. 1. Faulty implementation. The original code contained functions like: NORETURN void nlr_jump(void *val) { nlr_buf_t **top_ptr = &MP_STATE_THREAD(nlr_top); nlr_buf_t *top = *top_ptr; ... __asm volatile ( "mov %0, %%edx \n" // %edx points to nlr_buf "mov 28(%%edx), %%esi \n" // load saved %esi "mov 24(%%edx), %%edi \n" // load saved %edi "mov 20(%%edx), %%ebx \n" // load saved %ebx "mov 16(%%edx), %%esp \n" // load saved %esp "mov 12(%%edx), %%ebp \n" // load saved %ebp "mov 8(%%edx), %%eax \n" // load saved %eip "mov %%eax, (%%esp) \n" // store saved %eip to stack "xor %%eax, %%eax \n" // clear return register "inc %%al \n" // increase to make 1, non-local return "ret \n" // return : // output operands : "r"(top) // input operands : // clobbered registers ); } Which clearly stated that C-level variable should be a parameter of the assembly, whcih then moved it into correct register. Whereas now it's: NORETURN void nlr_jump_tail(nlr_buf_t *top) { (void)top; __asm volatile ( "mov 28(%edx), %esi \n" // load saved %esi "mov 24(%edx), %edi \n" // load saved %edi "mov 20(%edx), %ebx \n" // load saved %ebx "mov 16(%edx), %esp \n" // load saved %esp "mov 12(%edx), %ebp \n" // load saved %ebp "mov 8(%edx), %eax \n" // load saved %eip "mov %eax, (%esp) \n" // store saved %eip to stack "xor %eax, %eax \n" // clear return register "inc %al \n" // increase to make 1, non-local return "ret \n" // return ); for (;;); // needed to silence compiler warning } Which just tries to perform operations on a completely random register (edx in this case). The outcome is the expected: saving the pure random luck of the compiler putting the right value in the random register above, there's a crash. 2. Non-critical assessment. The original commit message says "There is a small overhead introduced (typically 1 machine instruction)". That machine instruction is a call if a compiler doesn't perform tail optimization (happens regularly), and it's 1 instruction only with the broken code shown above, fixing it requires adding more. With inefficiencies already presented in the NLR code, the overhead becomes "considerable" (several times more than 1%), not "small". The commit message also says "This eliminates duplicated code.". An obvious way to eliminate duplication would be to factor out common code to macros, not introduce overhead and breakage like above. 3. Faulty motivation. All this started with a report of warnings/errors happening for a niche compiler. It could have been solved in one the direct ways: a) fixing it just for affected compiler(s); b) rewriting it in proper assembly (like it was before BTW); c) by not doing anything at all, MICROPY_NLR_SETJMP exists exactly to address minor-impact cases like thar (where a) or b) are not applicable). Instead, a backwards "solution" was put forward, leading to all the issues above. The best action thus appears to be revert and rework, not trying to work around what went haywire in the first place.
2017-12-20py/nlr: Factor out common NLR code to generic functions.Damien George
Each NLR implementation (Thumb, x86, x64, xtensa, setjmp) duplicates a lot of the NLR code, specifically that dealing with pushing and popping the NLR pointer to maintain the linked-list of NLR buffers. This patch factors all of that code out of the specific implementations into generic functions in nlr.c. This eliminates duplicated code. The factoring also allows to make the machine-specific NLR code pure assembler code, thus allowing nlrthumb.c to use naked function attributes in the correct way (naked functions can only have basic inline assembler code in them). There is a small overhead introduced (typically 1 machine instruction) because now the generic nlr_jump() must call nlr_jump_tail() rather than them being one combined function.
2017-12-11py: Introduce a Python stack for scoped allocation.Damien George
This patch introduces the MICROPY_ENABLE_PYSTACK option (disabled by default) which enables a "Python stack" that allows to allocate and free memory in a scoped, or Last-In-First-Out (LIFO) way, similar to alloca(). A new memory allocation API is introduced along with this Py-stack. It includes both "local" and "nonlocal" LIFO allocation. Local allocation is intended to be equivalent to using alloca(), whereby the same function must free the memory. Nonlocal allocation is where another function may free the memory, so long as it's still LIFO. Follow-up patches will convert all uses of alloca() and VLA to the new scoped allocation API. The old behaviour (using alloca()) will still be available, but when MICROPY_ENABLE_PYSTACK is enabled then alloca() is no longer required or used. The benefits of enabling this option are (or will be once subsequent patches are made to convert alloca()/VLA): - Toolchains without alloca() can use this feature to obtain correct and efficient scoped memory allocation (compared to using the heap instead of alloca(), which is slower). - Even if alloca() is available, enabling the Py-stack gives slightly more efficient use of stack space when calling nested Python functions, due to the way that compilers implement alloca(). - Enabling the Py-stack with the stackless mode allows for even more efficient stack usage, as well as retaining high performance (because the heap is no longer used to build and destroy stackless code states). - With Py-stack and stackless enabled, Python-calling-Python is no longer recursive in the C mp_execute_bytecode function. The micropython.pystack_use() function is included to measure usage of the Python stack.
2017-07-31all: Use the name MicroPython consistently in commentsAlexander Steffen
There were several different spellings of MicroPython present in comments, when there should be only one.
2017-07-18all: Unify header guard usage.Alexander Steffen
The code conventions suggest using header guards, but do not define how those should look like and instead point to existing files. However, not all existing files follow the same scheme, sometimes omitting header guards altogether, sometimes using non-standard names, making it easy to accidentally pick a "wrong" example. This commit ensures that all header files of the MicroPython project (that were not simply copied from somewhere else) follow the same pattern, that was already present in the majority of files, especially in the py folder. The rules are as follows. Naming convention: * start with the words MICROPY_INCLUDED * contain the full path to the file * replace special characters with _ In addition, there are no empty lines before #ifndef, between #ifndef and one empty line before #endif. #endif is followed by a comment containing the name of the guard macro. py/grammar.h cannot use header guards by design, since it has to be included multiple times in a single C file. Several other files also do not need header guards as they are only used internally and guaranteed to be included only once: * MICROPY_MPHALPORT_H * mpconfigboard.h * mpconfigport.h * mpthreadport.h * pin_defs_*.h * qstrdefs*.h
2017-04-30py: Cleanup use of global DEBUG preprocessor definitionstijn
The standard preprocessor definition to differentiate debug and non-debug builds is NDEBUG, not DEBUG, so don't rely on the latter: - just delete the use of it in objint_longlong.c as it has been stale code for years anyway (since commit [c4029e5]): SUFFIX isn't used anywhere. - replace DEBUG with MICROPY_DEBUG_NLR in nlr.h: it is rarely used anymore so can be off by default
2017-03-06py/nlr.h: Mark nlr_jump_fail as NORETURN.Damien George
2016-06-28py/nlrsetjmp: Update to take into account new location of nlr_top.Damien George
It's now accessed via the MP_STATE_THREAD macro.
2015-11-29py: Wrap all obj-ptr conversions in MP_OBJ_TO_PTR/MP_OBJ_FROM_PTR.Damien George
This allows the mp_obj_t type to be configured to something other than a pointer-sized primitive type. This patch also includes additional changes to allow the code to compile when sizeof(mp_uint_t) != sizeof(void*), such as using size_t instead of mp_uint_t, and various casts.
2015-03-03py: Guard against redef of nlr_push with DEBUG + MICROPY_NLR_SETJMP.stijn
2015-02-15nlr: Add even more optional debugging logging.Paul Sokolovsky
Has to be enabled by manual editing, but at least it's there, as debugging NLR issues may be weird.
2015-02-15nlr: If DEBUG, guard against recursive nlr_push().Paul Sokolovsky
Pushing same NLR record twice would lead to "infinite loop" in nlr_jump (but more realistically, it will crash as soon as NLR record on stack is overwritten).
2015-01-07py: Put all global state together in state structures.Damien George
This patch consolidates all global variables in py/ core into one place, in a global structure. Root pointers are all located together to make GC tracing easier and more efficient.
2015-01-01py: Move global variable nlr_top to one place, in a .c file.Damien George
This reduces dependency on assembler, and allows to consolidate global variables in the future.
2015-01-01py: Move to guarded includes, everywhere in py/ core.Damien George
Addresses issue #1022.
2014-11-27py: Add NLR support for xtensa CPU.Damien George
2014-11-05py: Fix some macros defines; cleanup some includes.Damien George
2014-06-22py: Support arm and thumb ARM ISAs, in addition to thumb2.Paul Sokolovsky
These changes were tested with QEMU, and by few people of real hardware.
2014-06-19Add missing “assert.h” file header inclusion from “nlr.h”Emmanuel Blot
2014-05-03Add license header to (almost) all files.Damien George
Blanket wide to all .c and .h files. Some files originating from ST are difficult to deal with (license wise) so it was left out of those. Also merged modpyb.h, modos.h, modstm.h and modtime.h in stmhal/.
2014-05-02py, unix: Make "mpconfig.h" be first included, as other headers depend on it.Paul Sokolovsky
Specifically, nlr.h does.
2014-04-30py: Abstract no-return attribute for functions a bit.Paul Sokolovsky
2014-04-30nlr.h: As we treat all warnings as errors, can't use #warning.Paul Sokolovsky
And this is not good.
2014-04-17nlr: Add implementation using setjmp/longjmp.Paul Sokolovsky
Having an optimized asm implementation is good, but if we want portability, that's it.
2014-04-08Add a check for NULL nlr_top in nlr_jump.Damien George
If no nlr_buf has been pushed, and an nlr_jump is called, then control is transferred to nlr_jump_fail (which should bail out with a fatal error).
2014-04-05py: Change nlr_jump to nlr_raise, to aid in debugging.Damien George
This does not affect code size or performance when debugging turned off. To address issue #420.
2014-04-03Changes to get unix/ port compiling on Cygwin.Damien George
2014-03-01nlr.h: Do proper arch selection, using the same tests as nlr*.S .Paul Sokolovsky
2013-10-23Fix func decls with no arguments: () -> (void).Damien
2013-10-16NLR and Python exceptions work on the board.Damien
2013-10-15Implement basic exception framework, and simple for loop.Damien