Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
A
Advent of Coding
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Package registry
Container registry
Model registry
Operate
Environments
Terraform modules
Monitor
Incidents
Service Desk
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
Christopher Bohn
Advent of Coding
Commits
c38e5ed6
Commit
c38e5ed6
authored
2 years ago
by
Christopher Bohn
Browse files
Options
Downloads
Patches
Plain Diff
Completed Year 2022 Day 12
parent
b552498b
No related branches found
No related tags found
No related merge requests found
Changes
2
Show whitespace changes
Inline
Side-by-side
Showing
2 changed files
2022/README.md
+37
-0
37 additions, 0 deletions
2022/README.md
2022/src/main/java/edu/unl/cse/bohn/year2022/Day12.java
+150
-0
150 additions, 0 deletions
2022/src/main/java/edu/unl/cse/bohn/year2022/Day12.java
with
187 additions
and
0 deletions
2022/README.md
+
37
−
0
View file @
c38e5ed6
...
...
@@ -477,5 +477,42 @@ Monkey 3 inspected items 103 times.
## Day 12
First, a closing thought on yesterday's problem.
The concept I stumbled upon is the
[
Chinese Remainder Theorem
](
https://en.wikipedia.org/wiki/Chinese_remainder_theorem
)
which apparently has an
[
Advent
](
https://twitter.com/Lincoln81/status/1446897782351089675
)
[
of
](
https://twitter.com/fixedpointfae/status/1601842705541517313
)
[
Code
](
https://twitter.com/PeopleNArthax/status/1601936116055408640
)
[
reputation
](
https://twitter.com/DarkCisum/status/1338382928129224705
)
.
And now on to today's adventure.
-
[
The problem
](
https://adventofcode.com/2022/day/12
)
-
[
The solution
](
src/main/java/edu/unl/cse/bohn/year2022/Day12.java
)
### Part 1
Speaking of AOC staples, it looks like today we need to implement a shortest path algorithm.
The subproblems are
-
Create locations and build a reachability graph (unweighted, directional)
-
Compare heights
-
Find the shortest path from the start to the finish
My critique of my part 1 solution
-
I'm not thrilled that I'm storing the distance from the start as a
`Location`
attribute; I suppose the alternative is
to create a
`Map<Location,Integer>`
### Part 2
The difference is that we're now examining many possible starting locations.
A naïve approach would be to run the algorithm I developed for part 1, which starts at
`start`
, using each 'a'
`Location`
as a starting point, in turn.
Alternatively, we could work backwards from
`finish`
and find the distance of each
`Location`
to the
`finish`
.
Then look for the shortest distance to the finish from the 'a'
`Location`
s.
## Day 13
(coming soon)
This diff is collapsed.
Click to expand it.
2022/src/main/java/edu/unl/cse/bohn/year2022/Day12.java
0 → 100644
+
150
−
0
View file @
c38e5ed6
package
edu.unl.cse.bohn.year2022
;
import
edu.unl.cse.bohn.Puzzle
;
import
java.util.*
;
import
java.util.stream.Collectors
;
@SuppressWarnings
(
"unused"
)
public
class
Day12
extends
Puzzle
{
public
Day12
(
boolean
isProductionReady
)
{
super
(
isProductionReady
);
//noinspection SpellCheckingInspection
sampleData
=
"""
Sabqponm
abcryxxl
accszExk
acctuvwj
abdefghi"""
;
}
private
Location
start
=
null
,
finish
=
null
;
private
Set
<
Location
>
locations
;
@Override
public
long
computePart1
(
List
<
String
>
data
)
{
buildReachabilityGraph
(
data
);
computeDistancesToFinish
(
false
);
return
start
.
getDistanceToFinish
();
}
@Override
public
long
computePart2
(
List
<
String
>
data
)
{
if
(
start
==
null
)
{
this
.
computePart1
(
data
);
}
return
locations
.
stream
()
.
filter
(
location
->
location
.
getElevation
()
==
'a'
)
.
map
(
Location:
:
getDistanceToFinish
)
.
min
(
Integer:
:
compareTo
).
orElseThrow
();
}
private
void
computeDistancesToFinish
(
@SuppressWarnings
(
"SameParameterValue"
)
boolean
verbose
)
{
int
numberOfLocations
=
locations
.
size
();
PriorityQueue
<
Location
>
locationsToVisit
=
new
PriorityQueue
<>();
finish
.
updateDistanceFromFinish
(
0
);
locationsToVisit
.
add
(
finish
);
Location
currentLocation
;
while
(!
locationsToVisit
.
isEmpty
())
{
currentLocation
=
locationsToVisit
.
remove
();
for
(
Location
reachableLocation
:
currentLocation
.
getReachableLocations
())
{
if
(
reachableLocation
.
updateDistanceFromFinish
(
currentLocation
.
getDistanceToFinish
()
+
1
))
{
locationsToVisit
.
remove
(
reachableLocation
);
// just in case it's already there
locationsToVisit
.
add
(
reachableLocation
);
}
if
(
verbose
)
{
System
.
out
.
println
(
"Number of locations to visit = "
+
locationsToVisit
.
size
()
+
" (out of "
+
numberOfLocations
+
")"
);
}
if
(
locationsToVisit
.
size
()
>
numberOfLocations
)
{
throw
new
IllegalStateException
(
"The queue contains more locations ("
+
locationsToVisit
.
size
()
+
") than exist ("
+
numberOfLocations
+
")."
);
}
}
}
}
private
void
buildReachabilityGraph
(
List
<
String
>
data
)
{
// create the locations
Location
[][]
locations
=
new
Location
[
data
.
size
()][
data
.
get
(
0
).
length
()];
for
(
int
i
=
0
;
i
<
data
.
size
();
i
++)
{
for
(
int
j
=
0
;
j
<
data
.
get
(
i
).
length
();
j
++)
{
char
elevation
=
data
.
get
(
i
).
charAt
(
j
);
switch
(
elevation
)
{
case
'S'
->
{
locations
[
i
][
j
]
=
new
Location
(
'a'
);
start
=
locations
[
i
][
j
];
}
case
'E'
->
{
locations
[
i
][
j
]
=
new
Location
(
'z'
);
finish
=
locations
[
i
][
j
];
}
default
->
locations
[
i
][
j
]
=
new
Location
(
elevation
);
}
}
}
// build the graph
for
(
int
i
=
0
;
i
<
locations
.
length
;
i
++)
{
for
(
int
j
=
0
;
j
<
locations
[
i
].
length
;
j
++)
{
if
(
i
>
0
)
{
locations
[
i
][
j
].
setLocationAsReachableIfNotTooTall
(
locations
[
i
-
1
][
j
]);
}
if
(
i
<
locations
.
length
-
1
)
{
locations
[
i
][
j
].
setLocationAsReachableIfNotTooTall
(
locations
[
i
+
1
][
j
]);
}
if
(
j
>
0
)
{
locations
[
i
][
j
].
setLocationAsReachableIfNotTooTall
(
locations
[
i
][
j
-
1
]);
}
if
(
j
<
locations
[
i
].
length
-
1
)
{
locations
[
i
][
j
].
setLocationAsReachableIfNotTooTall
(
locations
[
i
][
j
+
1
]);
}
}
}
this
.
locations
=
Arrays
.
stream
(
locations
).
flatMap
(
Arrays:
:
stream
).
collect
(
Collectors
.
toSet
());
}
private
static
class
Location
implements
Comparable
<
Location
>
{
private
final
Set
<
Location
>
reachableLocations
;
private
final
char
elevation
;
private
int
distanceToFinish
;
public
Location
(
char
elevation
)
{
this
.
elevation
=
elevation
;
this
.
reachableLocations
=
new
HashSet
<>();
this
.
distanceToFinish
=
Integer
.
MAX_VALUE
;
}
public
void
setLocationAsReachableIfNotTooTall
(
Location
otherLocation
)
{
if
(
this
.
elevation
<=
otherLocation
.
elevation
+
1
)
{
reachableLocations
.
add
(
otherLocation
);
}
}
public
boolean
updateDistanceFromFinish
(
int
possiblyShorterDistance
)
{
boolean
newDistanceIsShorter
=
possiblyShorterDistance
<
distanceToFinish
;
distanceToFinish
=
newDistanceIsShorter
?
possiblyShorterDistance
:
distanceToFinish
;
return
newDistanceIsShorter
;
}
public
int
getDistanceToFinish
()
{
return
distanceToFinish
;
}
public
boolean
canReach
(
Location
destination
)
{
return
reachableLocations
.
contains
(
destination
);
}
public
Set
<
Location
>
getReachableLocations
()
{
return
Collections
.
unmodifiableSet
(
reachableLocations
);
}
public
char
getElevation
()
{
return
elevation
;
}
@Override
public
int
compareTo
(
Location
other
)
{
return
this
.
elevation
-
other
.
elevation
;
}
}
}
This diff is collapsed.
Click to expand it.
Preview
0%
Loading
Try again
or
attach a new file
.
Cancel
You are about to add
0
people
to the discussion. Proceed with caution.
Finish editing this message first!
Save comment
Cancel
Please
register
or
sign in
to comment