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H=C HHH[ff. H=y d HH insert %.200s is not a sequence lo must be non-negative in _bisect.bisect_right in _bisect.bisect_left nO insort_right insort_left a x lo hi key _bisect '%.200s' object does not support indexing insort_left($module, /, a, x, lo=0, hi=None, *, key=None)
--
Insert item x in list a, and keep it sorted assuming a is sorted.
If x is already in a, insert it to the left of the leftmost x.
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to be searched.
A custom key function can be supplied to customize the sort order. bisect_left($module, /, a, x, lo=0, hi=None, *, key=None)
--
Return the index where to insert item x in list a, assuming a is sorted.
The return value i is such that all e in a[:i] have e < x, and all e in
a[i:] have e >= x. So if x already appears in the list, a.insert(i, x) will
insert just before the leftmost x already there.
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to be searched.
A custom key function can be supplied to customize the sort order. insort_right($module, /, a, x, lo=0, hi=None, *, key=None)
--
Insert item x in list a, and keep it sorted assuming a is sorted.
If x is already in a, insert it to the right of the rightmost x.
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to be searched.
A custom key function can be supplied to customize the sort order. bisect_right($module, /, a, x, lo=0, hi=None, *, key=None)
--
Return the index where to insert item x in list a, assuming a is sorted.
The return value i is such that all e in a[:i] have e <= x, and all e in
a[i:] have e > x. So if x already appears in the list, a.insert(i, x) will
insert just after the rightmost x already there.
Optional args lo (default 0) and hi (default len(a)) bound the
slice of a to be searched.
A custom key function can be supplied to customize the sort order. Bisection algorithms.
This module provides support for maintaining a list in sorted order without
having to sort the list after each insertion. For long lists of items with
expensive comparison operations, this can be an improvement over the more
common approach.
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