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| // ranker is a helper type for the rank function. | |
| type ranker struct { | |
| f []float64 // Data to be ranked. | |
| r []int // A list of indexes into f that reflects rank order after sorting. | |
| } | |
| // ranker satisfies the sort.Interface without mutating the reference slice, f. | |
| func (r ranker) Len() int { return len(r.f) } | |
| func (r ranker) Less(i, j int) bool { return r.f[r.r[i]] < r.f[r.r[j]] } | |
| func (r ranker) Swap(i, j int) { r.r[i], r.r[j] = r.r[j], r.r[i] } |
scph5500.bin 26-Aug-2018 20:47 512.0K
scph5501.bin 26-Aug-2018 20:47 512.0K
scph5502.bin 26-Aug-2018 20:47 512.0K
I liked the way Grokking the coding interview organized problems into learnable patterns. However, the course is expensive and the majority of the time the problems are copy-pasted from leetcode. As the explanations on leetcode are usually just as good, the course really boils down to being a glorified curated list of leetcode problems.
So below I made a list of leetcode problems that are as close to grokking problems as possible.
| import Foundation | |
| import HealthKit | |
| struct WorkoutSplit: Hashable { | |
| let label: String | |
| let distance: HKQuantity | |
| let duration: TimeInterval | |
| } | |
| extension WorkoutSplit { |
| import heapq | |
| from typing import List | |
| def djikstra(graph_inner, starting, vertices) -> List: | |
| pq = [] | |
| dist = [float('inf') for i in range(vertices)] | |
| dist[starting] = 0 | |
| print(dist) | |
| heapq.heappush(pq, [0, starting]) |
I have spent quite a bit of time figuring out automounts of NFS shares in OS X...
Somewhere along the line, Apple decided allowing mounts directly into /Volumes should not be possible:
/etc/auto_master (see last line):
#
# Automounter master map
#
+auto_master # Use directory service