Thanks for adding to the coporate-techno-king takeover of america nightmare fuel ^^.
zogwarg
I wonder if one of the reasons they're so young is that's the age you'd have to be to not realize in how much legal trouble they might be putting themselves in. (Bar an eventual pardon from Trump.)
Myself I've learned to embrace the em dash—like so, with a special shoutout to John Green—and interleaving ( [ { } ] )
.
On mac and linux conveniently short-cutted to Option+Shift+'-', windows is a much less satisfying Alt+0150 without third party tools like AutoHotKey.
And done! well I had fun.
24! - Crossed Wires - Leaderboard time 01h01m13s (and a close personal time of 01h09m51s)
Spoilers
I liked this one! It was faster the solve part 2 semi-manually before doing it "programmaticly", which feels fun.
Way too many lines follow (but gives the option to finding swaps "manually"):
#!/usr/bin/env jq -n -crR -f
( # If solving manually input need --arg swaps
# Expected format --arg swaps 'n01-n02,n03-n04'
# Trigger start with --arg swaps '0-0'
if $ARGS.named.swaps then $ARGS.named.swaps |
split(",") | map(split("-") | {(.[0]):.[1]}, {(.[1]):.[0]}) | add
else {} end
) as $swaps |
[ inputs | select(test("->")) / " " | del(.[3]) ] as $gates |
[ # Defining Target Adder Circuit #
def pad: "0\(.)"[-2:];
(
[ "x00", "AND", "y00", "c00" ],
[ "x00", "XOR", "y00", "z00" ],
(
(range(1;45)|pad) as $i |
[ "x\($i)", "AND", "y\($i)", "c\($i)" ],
[ "x\($i)", "XOR", "y\($i)", "a\($i)" ]
)
),
(
["a01", "AND", "c00", "e01"],
["a01", "XOR", "c00", "z01"],
(
(range(2;45) | [. , . -1 | pad]) as [$i,$j] |
["a\($i)", "AND", "s\($j)", "e\($i)"],
["a\($i)", "XOR", "s\($j)", "z\($i)"]
)
),
(
(
(range(1;44)|pad) as $i |
["c\($i)", "OR", "e\($i)", "s\($i)"]
),
["c44", "OR", "e44", "z45"]
)
] as $target_circuit |
( # Re-order xi XOR yi wires so that xi comes first #
$gates | map(if .[0][0:1] == "y" then [.[2],.[1],.[0],.[3]] end)
) as $gates |
# Find swaps, mode=0 is automatic, mode>0 is manual #
def find_swaps($gates; $swaps; $mode): $gates as $old |
# Swap output wires #
( $gates | map(.[3] |= ($swaps[.] // .)) ) as $gates |
# First level: 'x0i AND y0i -> c0i' and 'x0i XOR y0i -> a0i' #
# Get candidate wire dict F, with reverse dict R #
( [ $gates[]
| select(.[0][0:1] == "x" )
| select(.[0:2] != ["x00", "XOR"] )
| if .[1] == "AND" then { "\(.[3])": "c\(.[0][1:])" }
elif .[1] == "XOR" then { "\(.[3])": "a\(.[0][1:])" }
else "Unexpected firt level op" | halt_error end
] | add
) as $F | ($F | with_entries({key:.value,value:.key})) as $R |
# Replace input and output wires with candidates #
( [ $gates[] | map($F[.] // .)
| if .[2] | test("c\\d") then [ .[2],.[1],.[0],.[3] ] end
| if .[2] | test("a\\d") then [ .[2],.[1],.[0],.[3] ] end
] # Makes sure that when possible a0i comes 1st, then c0i #
) as $gates |
# Second level: use info rich 'c0i OR e0i -> s0i' gates #
# Get candidate wire dict S, with reverse dict T #
( [ $gates[]
| select((.[0] | test("c\\d")) and .[1] == "OR" )
| {"\(.[2])": "e\(.[0][1:])"}, {"\(.[3])": "s\(.[0][1:])"}
] | add | with_entries(select(.key[0:1] != "z"))
) as $S | ($S | with_entries({key:.value,value:.key})) as $T |
( # Replace input and output wires with candidates #
[ $gates[] | map($S[.] // .) ] | sort_by(.[0][0:1]!="x",.)
) as $gates | # Ensure "canonical" order #
[ # Diff - our input gates only
$gates - $target_circuit
| .[] | [ . , map($R[.] // $T[.] // .) ]
] as $g |
[ # Diff + target circuit only
$target_circuit - $gates
| .[] | [ . , map($R[.] // $T[.] // .) ]
] as $c |
if $mode > 0 then
# Manual mode print current difference #
debug("gates", $g[], "target_circuit", $c[]) |
if $gates == $target_circuit then
$swaps | keys | join(",") # Output successful swaps #
else
"Difference remaining with target circuit!" | halt_error
end
else
# Automatic mode, recursion end #
if $gates == $target_circuit then
$swaps | keys | join(",") # Output successful swaps #
else
[
first(
# First case when only output wire is different
first(
[$g,$c|map(last)]
| combinations
| select(first[0:3] == last[0:3])
| map(last)
| select(all(.[]; test("e\\d")|not))
| select(.[0] != .[1])
| { (.[0]): .[1], (.[1]): .[0] }
),
# "Only" case where candidate a0i and c0i are in an
# incorrect input location.
# Might be more than one for other inputs.
first(
[
$g[] | select(
((.[0][0] | test("a\\d")) and .[0][1] == "OR") or
((.[0][0] | test("c\\d")) and .[0][1] == "XOR")
) | map(first)
]
| if length != 2 then
"More a0i-c0i swaps required" | halt_error
end
| map(last)
| select(.[0] != .[1])
| { (.[0]): .[1], (.[1]): .[0] }
)
)
] as [$pair] |
if $pair | not then
"Unexpected pair match failure!" | halt_error
else
find_swaps($old; $pair+$swaps; 0)
end
end
end
;
find_swaps($gates;$swaps;$swaps|length)
23!
Spoilerific
Got lucky on the max clique in part 2, my solution only works if there are at least 2 nodes in the clique, that only have the clique members as common neighbours.
Ended up reading wikipedia to lift one the Bron-Kerbosch methods:
#!/usr/bin/env jq -n -rR -f
reduce (
inputs / "-" # Build connections dictionary #
) as [$a,$b] ({}; .[$a] += [$b] | .[$b] += [$a]) | . as $conn |
# Allow Loose max clique check #
if $ARGS.named.loose == true then
# Only works if there is at least one pair in the max clique #
# That only have the clique members in common. #
[
# For pairs of connected nodes #
( $conn | keys[] ) as $a | $conn[$a][] as $b | select($a < $b) |
# Get the list of nodes in common #
[$a,$b] + ($conn[$a] - ($conn[$a]-$conn[$b])) | unique
]
# From largest size find the first where all the nodes in common #
# are interconnected -> all(connections ⋂ shared == shared) #
| sort_by(-length)
| first (
.[] | select( . as $cb |
[
$cb[] as $c
| ( [$c] + $conn[$c] | sort )
| ( . - ( . - $cb) ) | length
] | unique | length == 1
)
)
else # Do strict max clique check #
# Example of loose failure:
# 0-1 0-2 0-3 0-4 0-5 1-2 1-3 1-4 1-5
# 2-3 2-4 2-5 3-4 3-5 4-5 a-0 a-1 a-2
# a-3 b-2 b-3 b-4 b-5 c-0 c-1 c-4 c-5
def bron_kerbosch1($R; $P; $X; $cliques):
if ($P|length) == 0 and ($X|length) == 0 then
if ($R|length) > 2 then
{cliques: ($cliques + [$R|sort])}
end
else
reduce $P[] as $v ({$R,$P,$X,$cliques};
.cliques = bron_kerbosch1(
.R - [$v] + [$v] ; # R ∪ {v}
.P - (.P - $conn[$v]); # P ∩ neighbours(v)
.X - (.X - $conn[$v]); # X ∩ neighbours(v)
.cliques
) .cliques |
.P = (.P - [$v]) | # P ∖ {v}
.X = (.X - [$v] + [$v]) # X ∪ {v}
)
end
;
bron_kerbosch1([];$conn|keys;[];[]).cliques | max_by(length)
end
| join(",") # Output password
That's still mostly what it is ^^, though I'd say it's more "awk+sed" for JSON.
Hacky Manual parallelization
22-b.jq
Massive time gains with parallelization + optimized next function (2x speedup) by doing the 3 xor operation in "one operation", Maybe I prefer the grids ^^:
#!/usr/bin/env jq -n -f
#────────────────── Big-endian to_bits ───────────────────#
def to_bits:
if . == 0 then [0] else { a: ., b: [] } | until (.a == 0;
.a /= 2 |
if .a == (.a|floor) then .b += [0]
else .b += [1] end | .a |= floor
) | .b end;
#────────────────── Big-endian from_bits ────────────────────────#
def from_bits: [ range(length) as $i | .[$i] * pow(2; $i) ] | add;
( # Get index that contribute to next xor operation.
def xor_index(a;b): [a, b] | transpose | map(add);
[ range(24) | [.] ]
| xor_index([range(6) | [-1]] + .[0:18] ; .[0:24])
| xor_index(.[5:29] ; .[0:24])
| xor_index([range(11) | [-1]] + .[0:13]; .[0:24])
| map(
sort | . as $indices | map(
select( . as $i |
$i >= 0 and ($indices|indices($i)|length) % 2 == 1
)
)
)
) as $next_ind |
# Optimized Next, doing XOR of indices simultaneously a 2x speedup #
def next: . as $in | $next_ind | map( [ $in[.[]] // 0 ] | add % 2 );
# Still slow, because of from_bits #
def to_price($p): $p | from_bits % 10;
# Option to run in parallel using xargs, Eg:
#
# seq 0 9 | \
# xargs -P 10 -n 1 -I {} bash -c './2024/jq/22-b.jq input.txt \
# --argjson s 10 --argjson i {} > out-{}.json'
# cat out-*.json | ./2024/jq/22-b.jq --argjson group true
# rm out-*.json
#
# Speedup from naive ~50m -> ~1m
def parallel: if $ARGS.named.s and $ARGS.named.i then
select(.key % $ARGS.named.s == $ARGS.named.i) else . end;
#════════════════════════════ X-GROUP ═══════════════════════════════#
if $ARGS.named.group then
# Group results from parallel run #
reduce inputs as $dic ({}; reduce (
$dic|to_entries[]
) as {key: $k, value: $v} (.; .[$k] += $v )
)
else
#════════════════════════════ X-BATCH ═══════════════════════════════#
reduce (
[ inputs ] | to_entries[] | parallel
) as { value: $in } ({}; debug($in) |
reduce range(2000) as $_ (
.curr = ($in|to_bits) | .p = to_price(.curr) | .d = [];
.curr |= next | to_price(.curr) as $p
| .d = (.d+[$p-.p])[-4:] | .p = $p # Four differences to price
| if .a["\($in)"]["\(.d)"]|not then # Record first price
.a["\($in)"]["\(.d)"] = $p end # For input x 4_diff
)
)
# Summarize expected bananas per 4_diff sequence #
| [ .a[] | to_entries[] ]
| group_by(.key)
| map({key: .[0].key, value: ([.[].value]|add)})
| from_entries
end |
#═══════════════════════════ X-FINALLY ══════════════════════════════#
if $ARGS.named.s | not then
# Output maximum expexted bananas #
to_entries | max_by(.value) | debug | .value
end
22!
spoilers!
Well it’s not a grid! My chosen language does not have bitwise operators so it’s a bit slow. Have to resort to manual parallelization.
EDIT: I have a sneaking suspicion that the computer will need to be re-used since the combo-operand 7 does not occur and is "reserved".
re p2
Also did this by hand to get my precious gold star, but then actually went back and implemented it
Some JQ extension required:
#!/usr/bin/env jq -n -rR -f
#─────────── Big-endian to_bits and from_bits ────────────#
def to_bits:
if . == 0 then [0] else { a: ., b: [] } | until (.a == 0;
.a /= 2 |
if .a == (.a|floor) then .b += [0]
else .b += [1] end | .a |= floor
) | .b end;
def from_bits:
{ a: 0, b: ., l: length, i: 0 } | until (.i == .l;
.a += .b[.i] * pow(2;.i) | .i += 1
) | .a;
#──────────── Big-endian xor returns integer ─────────────#
def xor(a;b): [a, b] | transpose | map(add%2) | from_bits ;
[ inputs | scan("\\d+") | tonumber ] | .[3:] |= [.]
| . as [$A,$B,$C,$pgrm] |
# Assert #
if [first(
range(8) as $x |
range(8) as $y |
range(8) as $_ |
[
[2,4], # B = A mod 8 # Zi
[1,$x], # B = B xor x # = A[i*3:][0:3] xor x
[7,5], # C = A << B (w/ B < 8) # = A(i*3;3) xor x
[1,$y], # B = B xor y # Out[i]
[0,3], # A << 3 # = A(i*3+Zi;3) xor y
[4,$_], # B = B xor C # xor Zi
[5,5], # Output B mod 8 #
[3,0] # Loop while A > 0 # A(i*3;3) = Out[i]
] | select(flatten == $pgrm) # xor A(i*3+Zi;3)
)] == [] # xor constant
then "Reverse-engineering doesn't neccessarily apply!" | halt_error
end |
# When minimizing higher bits first, which should always produce #
# the final part of the program, we can recursively add lower bits #
# Since they are always stricly dependent on a #
# xor of Output x high bits #
def run($A):
# $A is now always a bit array #
# ┌──i is our shift offset for A #
{ p: 0, $A,$B,$C, i: 0} | until ($pgrm[.p] == null;
$pgrm[.p:.p+2] as [$op, $x] | # Op & literal operand
[0,1,2,3,.A,.B,.C,null][$x] as $y | # Op & combo operand
# From analysis all XOR operations can be limited to 3 bits #
# Op == 2 B is only read from A #
# Op == 5 Output is only from B (mod should not be required) #
if $op == 0 then .i += $y
elif $op == 1 then .B = xor(.B|to_bits[0:3]; $x|to_bits[0:3])
elif $op == 2
and $x == 4 then .B = (.A[.i:.i+3] | from_bits)
elif $op == 3
and (.A[.i:]|from_bits) != 0
then .p = ($x - 2)
elif $op == 3 then .
elif $op == 4 then .B = xor(.B|to_bits[0:3]; .C|to_bits[0:3])
elif $op == 5 then .out += [ $y % 8 ]
elif $op == 6 then .B = (.A[.i+$y:][0:3] | from_bits)
elif $op == 7 then .C = (.A[.i+$y:][0:3] | from_bits)
else "Unexpected op and x: \({$op,$x})" | halt_error
end | .p += 2
) | .out;
[ { A: [], i: 0 } | recurse (
# Keep all candidate A that produce the end of the program, #
# since not all will have valid low-bits for earlier parts. #
.A = ([0,1]|combinations(6)) + .A | # Prepend all 6bit combos #
select(run(.A) == $pgrm[-.i*2-2:] ) # Match pgrm from end 2x2 #
| .i += 1
# Keep only the full program matches, and convert back to int #
) | select(.i == ($pgrm|length/2)) | .A | from_bits
]
| min # From all valid self-replicating intputs output the lowest #
Re: p2
Definitely a bit tedious, I had to "play" a whole session to spot bugs that I had. It took me far longer than average. I had buggy dissepearing boxes because of update order, I would reccomend a basic test case of pushing a line/pyramid of boxes in every direction.
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