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Mostly clj/s.
Exceptions indicated.
Exceptions indicated.
taoensso.tukey.impl
Private ns, implementation detail.
Private ns, implementation detail.
doubles?clj
(doubles? x)Returns true iff given double array
Returns true iff given double array
is-pclj/s
(is-p x)longs?clj
(longs? x)Returns true iff given long array
Returns true iff given long array
multi-reduceclj/s
(multi-reduce f init coll)(multi-reduce f1 init1 f2 init2 coll)(multi-reduce f1 init1 f2 init2 f3 init3 coll)Like reduce but supports separate simultaneous accumulators
as a micro-optimisation when reducing a large collection multiple
times.
Like `reduce` but supports separate simultaneous accumulators as a micro-optimisation when reducing a large collection multiple times.
percentilesclj/s
(percentiles nums)Returns ?[min p25 p50 p75 p90 p95 p99 max] doubles in:
- O(1) for Sorted types (SortedLongs, SortedDoubles),
- O(n) or O(n.log_n) otherwise.
Returns ?[min p25 p50 p75 p90 p95 p99 max] doubles in: - O(1) for Sorted types (SortedLongs, SortedDoubles), - O(n) or O(n.log_n) otherwise.
sorted-doublesclj/s
(sorted-doubles nums)sorted-doubles?clj/s
(sorted-doubles? x)sorted-longsclj/s
(sorted-longs nums)sorted-longs?clj/s
(sorted-longs? x)sorted-numsclj/s
(sorted-nums x)sorted-nums?clj/s
(sorted-nums? x)summary-statsclj/s
(summary-stats nums)Returns ?MergeableSummaryStats
Returns ?MergeableSummaryStats
summary-stats-mergeclj/s
(summary-stats-merge mss1)(summary-stats-merge mss1 mss2)(summary-stats-merge (summary-stats nums1) (summary-stats nums2)) returns a rough approximation of (summary-stats (merge nums1 nums2))
Useful when you want summary stats for a large set of numbers for which it would be infeasible/expensive to keep all numbers for accurate merging.
(summary-stats-merge (summary-stats nums1) (summary-stats nums2)) returns a rough approximation of (summary-stats (merge nums1 nums2)) Useful when you want summary stats for a large set of numbers for which it would be infeasible/expensive to keep all numbers for accurate merging.
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