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common.py
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from mypy.util import unnamed_function
import sys
from typing import Dict, Any, Optional, Tuple
import sys
from typing_extensions import Final
PREFIX: Final = "CPyPy_" # Python wrappers
NATIVE_PREFIX: Final = "CPyDef_" # Native functions etc.
DUNDER_PREFIX: Final = "CPyDunder_" # Wrappers for exposing dunder methods to the API
REG_PREFIX: Final = "cpy_r_" # Registers
STATIC_PREFIX: Final = "CPyStatic_" # Static variables (for literals etc.)
TYPE_PREFIX: Final = "CPyType_" # Type object struct
MODULE_PREFIX: Final = "CPyModule_" # Cached modules
ATTR_PREFIX: Final = "_" # Attributes
ENV_ATTR_NAME: Final = "__mypyc_env__"
NEXT_LABEL_ATTR_NAME: Final = "__mypyc_next_label__"
TEMP_ATTR_NAME: Final = "__mypyc_temp__"
LAMBDA_NAME: Final = "__mypyc_lambda__"
PROPSET_PREFIX: Final = "__mypyc_setter__"
SELF_NAME: Final = "__mypyc_self__"
# Max short int we accept as a literal is based on 32-bit platforms,
# so that we can just always emit the same code.
TOP_LEVEL_NAME: Final = "__top_level__" # Special function representing module top level
# Maximal number of subclasses for a class to trigger fast path in isinstance() checks.
FAST_ISINSTANCE_MAX_SUBCLASSES: Final = 2
IS_32_BIT_PLATFORM: Final = sys.maxsize < (1 << 31)
PLATFORM_SIZE = 4 if IS_32_BIT_PLATFORM else 8
# Python 3.5 on macOS uses a hybrid 32/64-bit build that requires some workarounds.
# The same generated C will be compiled in both 32 and 64 bit modes when building mypy
# wheels (for an unknown reason).
#
# Note that we use "in ['darwin']" because of https://github.com/mypyc/mypyc/issues/761.
IS_MIXED_32_64_BIT_BUILD: Final = sys.platform in ["darwin"] and sys.version_info < (3, 6)
# Maximum value for a short tagged integer.
MAX_SHORT_INT: Final = sys.maxsize >> 1
# Maximum value for a short tagged integer represented as a C integer literal.
#
# Note: Assume that the compiled code uses the same bit width as mypyc, except for
# Python 3.5 on macOS.
MAX_LITERAL_SHORT_INT: Final = sys.maxsize >> 1 if not IS_MIXED_32_64_BIT_BUILD else 2 ** 30 - 1
# Runtime C library files
RUNTIME_C_FILES: Final = [
'init.c',
'getargs.c',
'getargsfast.c',
'int_ops.c',
'str_ops.c',
'bytes_ops.c',
'list_ops.c',
'dict_ops.c',
'set_ops.c',
'tuple_ops.c',
'exc_ops.c',
'misc_ops.c',
'generic_ops.c',
]
JsonDict = Dict[str, Any]
def shared_lib_name(group_name: str) -> str:
"""Given a group name, return the actual name of its extension module.
(This just adds a suffix to the final component.)
"""
return '{}__mypyc'.format(group_name)
def short_name(name: str) -> str:
if name.startswith('builtins.'):
return name[9:]
return name
def use_fastcall(capi_version: Tuple[int, int]) -> bool:
# We can use METH_FASTCALL for faster wrapper functions on Python 3.7+.
return capi_version >= (3, 7)
def use_vectorcall(capi_version: Tuple[int, int]) -> bool:
# We can use vectorcalls to make calls on Python 3.8+ (PEP 590).
return capi_version >= (3, 8)
def use_method_vectorcall(capi_version: Tuple[int, int]) -> bool:
# We can use a dedicated vectorcall API to call methods on Python 3.9+.
return capi_version >= (3, 9)
def get_id_from_name(name: str, fullname: str, line: int) -> str:
"""Create a unique id for a function.
This creates an id that is unique for any given function definition, so that it can be used as
a dictionary key. This is usually the fullname of the function, but this is different in that
it handles the case where the function is named '_', in which case multiple different functions
could have the same name."""
if unnamed_function(name):
return "{}.{}".format(fullname, line)
else:
return fullname
def short_id_from_name(func_name: str, shortname: str, line: Optional[int]) -> str:
if unnamed_function(func_name):
assert line is not None
partial_name = "{}.{}".format(shortname, line)
else:
partial_name = shortname
return partial_name