ai-content-maker/.venv/Lib/site-packages/torch/package/_mangling.py

63 lines
1.8 KiB
Python

"""Import mangling.
See mangling.md for details.
"""
import re
_mangle_index = 0
class PackageMangler:
"""
Used on import, to ensure that all modules imported have a shared mangle parent.
"""
def __init__(self):
global _mangle_index
self._mangle_index = _mangle_index
# Increment the global index
_mangle_index += 1
# Angle brackets are used so that there is almost no chance of
# confusing this module for a real module. Plus, it is Python's
# preferred way of denoting special modules.
self._mangle_parent = f"<torch_package_{self._mangle_index}>"
def mangle(self, name) -> str:
assert len(name) != 0
return self._mangle_parent + "." + name
def demangle(self, mangled: str) -> str:
"""
Note: This only demangles names that were mangled by this specific
PackageMangler. It will pass through names created by a different
PackageMangler instance.
"""
if mangled.startswith(self._mangle_parent + "."):
return mangled.partition(".")[2]
# wasn't a mangled name
return mangled
def parent_name(self):
return self._mangle_parent
def is_mangled(name: str) -> bool:
return bool(re.match(r"<torch_package_\d+>", name))
def demangle(name: str) -> str:
"""
Note: Unlike PackageMangler.demangle, this version works on any
mangled name, irrespective of which PackageMangler created it.
"""
if is_mangled(name):
first, sep, last = name.partition(".")
# If there is only a base mangle prefix, e.g. '<torch_package_0>',
# then return an empty string.
return last if len(sep) != 0 else ""
return name
def get_mangle_prefix(name: str) -> str:
return name.partition(".")[0] if is_mangled(name) else name