cpython/Tools/cases_generator/tier2_generator.py

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"""Generate the cases for the tier 2 interpreter.
Reads the instruction definitions from bytecodes.c.
Writes the cases to executor_cases.c.h, which is #included in ceval.c.
"""
import argparse
from analyzer import (
Analysis,
Instruction,
Uop,
analyze_files,
StackItem,
analysis_error,
)
from generators_common import (
DEFAULT_INPUT,
ROOT,
emit_to,
write_header,
type_and_null,
Emitter,
)
from cwriter import CWriter
from typing import TextIO, Iterator
from lexer import Token
from stack import Local, Stack, StackError, get_stack_effect
DEFAULT_OUTPUT = ROOT / "Python/executor_cases.c.h"
def declare_variable(
var: StackItem, uop: Uop, required: set[str], out: CWriter
) -> None:
if var.name not in required:
return
required.remove(var.name)
type, null = type_and_null(var)
space = " " if type[-1].isalnum() else ""
if var.condition:
out.emit(f"{type}{space}{var.name} = {null};\n")
if uop.replicates:
# Replicas may not use all their conditional variables
# So avoid a compiler warning with a fake use
out.emit(f"(void){var.name};\n")
else:
out.emit(f"{type}{space}{var.name};\n")
def declare_variables(uop: Uop, out: CWriter) -> None:
stack = Stack()
for var in reversed(uop.stack.inputs):
stack.pop(var)
for var in uop.stack.outputs:
stack.push(Local.unused(var))
required = set(stack.defined)
required.discard("unused")
for var in reversed(uop.stack.inputs):
declare_variable(var, uop, required, out)
for var in uop.stack.outputs:
declare_variable(var, uop, required, out)
class Tier2Emitter(Emitter):
def __init__(self, out: CWriter):
super().__init__(out)
self._replacers["oparg"] = self.oparg
def error_if(
self,
tkn: Token,
tkn_iter: Iterator[Token],
uop: Uop,
stack: Stack,
inst: Instruction | None,
) -> None:
self.out.emit_at("if ", tkn)
self.emit(next(tkn_iter))
emit_to(self.out, tkn_iter, "COMMA")
label = next(tkn_iter).text
next(tkn_iter) # RPAREN
next(tkn_iter) # Semi colon
self.emit(") JUMP_TO_ERROR();\n")
def error_no_pop(
self,
tkn: Token,
tkn_iter: Iterator[Token],
uop: Uop,
stack: Stack,
inst: Instruction | None,
) -> None:
next(tkn_iter) # LPAREN
next(tkn_iter) # RPAREN
next(tkn_iter) # Semi colon
self.out.emit_at("JUMP_TO_ERROR();", tkn)
def deopt_if(
self,
tkn: Token,
tkn_iter: Iterator[Token],
uop: Uop,
unused: Stack,
inst: Instruction | None,
) -> None:
self.out.emit_at("if ", tkn)
self.emit(next(tkn_iter))
emit_to(self.out, tkn_iter, "RPAREN")
next(tkn_iter) # Semi colon
self.emit(") {\n")
self.emit("UOP_STAT_INC(uopcode, miss);\n")
self.emit("JUMP_TO_JUMP_TARGET();\n")
self.emit("}\n")
def exit_if( # type: ignore[override]
self,
tkn: Token,
tkn_iter: Iterator[Token],
uop: Uop,
unused: Stack,
inst: Instruction | None,
) -> None:
self.out.emit_at("if ", tkn)
self.emit(next(tkn_iter))
emit_to(self.out, tkn_iter, "RPAREN")
next(tkn_iter) # Semi colon
self.emit(") {\n")
self.emit("UOP_STAT_INC(uopcode, miss);\n")
self.emit("JUMP_TO_JUMP_TARGET();\n")
self.emit("}\n")
def oparg(
self,
tkn: Token,
tkn_iter: Iterator[Token],
uop: Uop,
unused: Stack,
inst: Instruction | None,
) -> None:
if not uop.name.endswith("_0") and not uop.name.endswith("_1"):
self.emit(tkn)
return
amp = next(tkn_iter)
if amp.text != "&":
self.emit(tkn)
self.emit(amp)
return
one = next(tkn_iter)
assert one.text == "1"
self.out.emit_at(uop.name[-1], tkn)
def write_uop(uop: Uop, emitter: Emitter, stack: Stack) -> None:
locals: dict[str, Local] = {}
try:
emitter.out.start_line()
if uop.properties.oparg:
emitter.emit("oparg = CURRENT_OPARG();\n")
assert uop.properties.const_oparg < 0
elif uop.properties.const_oparg >= 0:
emitter.emit(f"oparg = {uop.properties.const_oparg};\n")
emitter.emit(f"assert(oparg == CURRENT_OPARG());\n")
for var in reversed(uop.stack.inputs):
code, local = stack.pop(var)
emitter.emit(code)
if local.defined:
locals[local.name] = local
emitter.emit(stack.define_output_arrays(uop.stack.outputs))
outputs: list[Local] = []
for var in uop.stack.outputs:
if var.name in locals:
local = locals[var.name]
else:
local = Local.local(var)
outputs.append(local)
for cache in uop.caches:
if cache.name != "unused":
if cache.size == 4:
type = cast = "PyObject *"
else:
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type = f"uint{cache.size*16}_t "
cast = f"uint{cache.size*16}_t"
emitter.emit(f"{type}{cache.name} = ({cast})CURRENT_OPERAND();\n")
emitter.emit_tokens(uop, stack, None)
for output in outputs:
if output.name in uop.deferred_refs.values():
# We've already spilled this when emitting tokens
output.cached = False
stack.push(output)
except StackError as ex:
raise analysis_error(ex.args[0], uop.body[0]) from None
SKIPS = ("_EXTENDED_ARG",)
def generate_tier2(
filenames: list[str], analysis: Analysis, outfile: TextIO, lines: bool
) -> None:
write_header(__file__, filenames, outfile)
outfile.write(
"""
#ifdef TIER_ONE
#error "This file is for Tier 2 only"
#endif
#define TIER_TWO 2
"""
)
out = CWriter(outfile, 2, lines)
emitter = Tier2Emitter(out)
out.emit("\n")
for name, uop in analysis.uops.items():
if uop.properties.tier == 1:
continue
if uop.properties.oparg_and_1:
out.emit(f"/* {uop.name} is split on (oparg & 1) */\n\n")
continue
if uop.is_super():
continue
why_not_viable = uop.why_not_viable()
if why_not_viable is not None:
out.emit(
f"/* {uop.name} is not a viable micro-op for tier 2 because it {why_not_viable} */\n\n"
)
continue
out.emit(f"case {uop.name}: {{\n")
declare_variables(uop, out)
stack = Stack()
write_uop(uop, emitter, stack)
out.start_line()
if not uop.properties.always_exits:
stack.flush(out)
out.emit("break;\n")
out.start_line()
out.emit("}")
out.emit("\n\n")
outfile.write("#undef TIER_TWO\n")
arg_parser = argparse.ArgumentParser(
description="Generate the code for the tier 2 interpreter.",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
arg_parser.add_argument(
"-o", "--output", type=str, help="Generated code", default=DEFAULT_OUTPUT
)
arg_parser.add_argument(
"-l", "--emit-line-directives", help="Emit #line directives", action="store_true"
)
arg_parser.add_argument(
"input", nargs=argparse.REMAINDER, help="Instruction definition file(s)"
)
if __name__ == "__main__":
args = arg_parser.parse_args()
if len(args.input) == 0:
args.input.append(DEFAULT_INPUT)
data = analyze_files(args.input)
with open(args.output, "w") as outfile:
generate_tier2(args.input, data, outfile, args.emit_line_directives)