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import copy
import inspect
import itertools
from typing import Any, Dict, List, Optional
from .dataclass import Dataclass, OptionalField
class ReusableGenerator(Dataclass):
generator: callable
gen_argv: List[Any] = OptionalField(default_factory=list)
gen_kwargs: Dict[str, Any] = OptionalField(default_factory=dict)
def activate(self):
return self.generator(*self.gen_argv, **self.gen_kwargs)
def __iter__(self):
yield from self.activate()
def __call__(self):
yield from iter(self)
class CopyingReusableGenerator(ReusableGenerator):
def __iter__(self):
for instance in self.activate():
yield copy.deepcopy(instance)
# if __name__ == "__main__":
# from itertools import chain, islice
# # Creating objects of MyIterable
# iterable1 = ReusableGenerator(range, gen_argv=[1, 4])
# iterable2 = ReusableGenerator(range, gen_argv=[4, 7])
# # Using itertools.chain
# chained = list(chain(iterable1, iterable2))
# print(chained) # Prints: [1, 2, 3, 4, 5, 6]
# # Using itertools.islice
# sliced = list(islice(ReusableGenerator(range, gen_argv=[1, 7]), 1, 4))
# print(sliced) # Prints: [2, 3, 4]
# # now same test with generators
# def generator(start, end):
# for i in range(start, end):
# yield i
# iterable1 = ReusableGenerator(generator, gen_argv=[1, 4])
# iterable2 = ReusableGenerator(generator, gen_argv=[4, 7])
# chained = list(chain(iterable1, iterable2))
# print(chained) # Prints: [1, 2, 3, 4, 5, 6]
# sliced = list(islice(ReusableGenerator(generator, gen_argv=[1, 7]), 1, 4))
# print(sliced) # Prints: [2, 3, 4]
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