Другое понимание слова:
>>> {v: k for k in d1 for v in d1[k]}
{'a': '0', 'b': '1', 'c': '2', 'd': '2', 'E': '3', 'F': '3', 'G': '3'}
Сравнение эталонов с yatu:
from timeit import repeat
setup = "d1 = {'0': {'a'}, '1': {'b'}, '2': {'c', 'd'}, '3': {'E','F','G'}}"
yatu = "{v:k for k,vals in d1.items() for v in vals}"
heap = "{v:k for k in d1 for v in d1[k]}"
for _ in range(3):
print('yatu', min(repeat(yatu, setup)))
print('heap', min(repeat(heap, setup)))
print()
Результаты:
yatu 1.4274586000000227
heap 1.4059823000000051
yatu 1.4562267999999676
heap 1.3701727999999775
yatu 1.4313863999999512
heap 1.3878657000000203
Еще один эталонный тест с миллионами ключей / значений :
setup = "d1 = {k: {k+1, k+2} for k in range(0, 10**6, 3)}"
for _ in range(3):
print('yatu', min(repeat(yatu, setup, number=10)))
print('heap', min(repeat(heap, setup, number=10)))
print()
yatu 1.071519999999964
heap 1.1391495000000305
yatu 1.0880677000000105
heap 1.1534022000000732
yatu 1.0944767999999385
heap 1.1526202000000012