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dataklasses.py
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dataklasses.py
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# dataklasses.py
#
# https://github.com/dabeaz/dataklasses
#
# Author: David Beazley (@dabeaz).
# http://www.dabeaz.com
#
# Copyright (C) 2021-2022.
#
# Permission is granted to use, copy, and modify this code in any
# manner as long as this copyright message and disclaimer remain in
# the source code. There is no warranty. Try to use the code for the
# greater good.
__all__ = ['dataklass']
from functools import lru_cache, reduce
def codegen(func):
@lru_cache
def make_func_code(numfields):
names = [ f'_{n}' for n in range(numfields) ]
exec(func(names), globals(), d:={})
return d.popitem()[1]
return make_func_code
def patch_args_and_attributes(func, fields, start=0):
return type(func)(func.__code__.replace(
co_names=(*func.__code__.co_names[:start], *fields),
co_varnames=('self', *fields),
), func.__globals__)
def patch_attributes(func, fields, start=0):
return type(func)(func.__code__.replace(
co_names=(*func.__code__.co_names[:start], *fields)
), func.__globals__)
def all_hints(cls):
return reduce(lambda x, y: getattr(y, '__annotations__',{}) | x, cls.__mro__, {})
@codegen
def make__init__(fields):
code = 'def __init__(self, ' + ','.join(fields) + '):\n'
return code + '\n'.join(f' self.{name} = {name}\n' for name in fields)
@codegen
def make__repr__(fields):
return 'def __repr__(self):\n' \
' return f"{type(self).__name__}(' + \
', '.join('{self.' + name + '!r}' for name in fields) + ')"\n'
@codegen
def make__eq__(fields):
selfvals = ','.join(f'self.{name}' for name in fields)
othervals = ','.join(f'other.{name}' for name in fields)
return 'def __eq__(self, other):\n' \
' if self.__class__ is other.__class__:\n' \
f' return ({selfvals},) == ({othervals},)\n' \
' else:\n' \
' return NotImplemented\n'
@codegen
def make__iter__(fields):
return 'def __iter__(self):\n' + '\n'.join(f' yield self.{name}' for name in fields)
@codegen
def make__hash__(fields):
self_tuple = '(' + ','.join(f'self.{name}' for name in fields) + ',)'
return 'def __hash__(self):\n' \
f' return hash({self_tuple})\n'
def dataklass(cls):
fields = all_hints(cls)
nfields = len(fields)
clsdict = vars(cls)
if not '__init__' in clsdict: cls.__init__ = patch_args_and_attributes(make__init__(nfields), fields)
if not '__repr__' in clsdict: cls.__repr__ = patch_attributes(make__repr__(nfields), fields, 2)
if not '__eq__' in clsdict: cls.__eq__ = patch_attributes(make__eq__(nfields), fields, 1)
# if not '__iter__' in clsdict: cls.__iter__ = patch_attributes(make__iter__(nfields), fields)
# if not '__hash__' in clsdict: cls.__hash__ = patch_attributes(make__hash__(nfields), fields, 1)
cls.__match_args__ = tuple(fields)
return cls
# Example use
if __name__ == '__main__':
@dataklass
class Coordinates:
x: int
y: int