Hello fellows, 👋
I have a structure like this:
{
"q1": "No",
"q2": "Yes"
}And I am looking to get out a collection where, based on q1 and q2, there will be elements , like [1, 2].
I have been able to get to the solution I want by basically accumulating all the items as a dictionary, then converting to a collection and filtering out foreign values, but the code is objectively a bit weird and was wondering if you have any recommendations to make it better @kurtbrose @mahmoud
(
{
"c1": (T["q1"].upper(), And((Match(M == "YES")), Val(1), default=SKIP)),
"c2": (T["q2"].upper(), And((Match(M == "YES")), Val(2), default=SKIP)),
"c3": (T["q2"].upper(), And((Match(M == "NO")), Val(3), default=SKIP)),
},
T.items(),
[T[1]],
lambda t: [i for i in t if isinstance(i, int)],
)Or a little bit better:
(
{
"c1": (T["q1"].upper(), And((Match(M == "YES")), Val(1), default=SKIP)),
"c2": (T["q2"].upper(), And((Match(M == "YES")), Val(2), default=SKIP)),
"c3": (T["q2"].upper(), And((Match(M == "NO")), Val(3), default=SKIP)),
},
T.values(),
[lambda x: x if isinstance(x, int) else SKIP],
)Or even better, for this specific case:
(
{
"c1": (T["c-29649"].upper(), And((Match("YES")), Val(756), default=SKIP)),
"c2": (
T["c-25895"].upper(),
Match(
Switch(
[
(And("YES"), Val(1)),
(And("NO"), Val(2)),
],
default=SKIP,
)
),
),
},
T.values(),
[lambda t: t if isinstance(t, int) else SKIP],
)...but I am still going through an intermediate dictionary which seems unnecessary
Cheers!
Hello fellows, 👋
I have a structure like this:
{ "q1": "No", "q2": "Yes" }And I am looking to get out a collection where, based on
q1andq2, there will be elements , like[1, 2].I have been able to get to the solution I want by basically accumulating all the items as a dictionary, then converting to a collection and filtering out foreign values, but the code is objectively a bit weird and was wondering if you have any recommendations to make it better @kurtbrose @mahmoud
( { "c1": (T["q1"].upper(), And((Match(M == "YES")), Val(1), default=SKIP)), "c2": (T["q2"].upper(), And((Match(M == "YES")), Val(2), default=SKIP)), "c3": (T["q2"].upper(), And((Match(M == "NO")), Val(3), default=SKIP)), }, T.items(), [T[1]], lambda t: [i for i in t if isinstance(i, int)], )Or a little bit better:
( { "c1": (T["q1"].upper(), And((Match(M == "YES")), Val(1), default=SKIP)), "c2": (T["q2"].upper(), And((Match(M == "YES")), Val(2), default=SKIP)), "c3": (T["q2"].upper(), And((Match(M == "NO")), Val(3), default=SKIP)), }, T.values(), [lambda x: x if isinstance(x, int) else SKIP], )Or even better, for this specific case:
( { "c1": (T["c-29649"].upper(), And((Match("YES")), Val(756), default=SKIP)), "c2": ( T["c-25895"].upper(), Match( Switch( [ (And("YES"), Val(1)), (And("NO"), Val(2)), ], default=SKIP, ) ), ), }, T.values(), [lambda t: t if isinstance(t, int) else SKIP], )...but I am still going through an intermediate dictionary which seems unnecessary
Cheers!