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DSA · Theory

Partitioning a linked list around a given value and If we don't care about making the elements of the list stable

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Theory

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Partitioning a linked list around a given value and If we don't care about making the elements of the list stable

Don’t start Partitioning a linked list around a given value and If we don't care about making the elements of the list stable with jargon. Start with a ticket queue node. That is the whole point.

For Partitioning a linked list around a given value and If we don't care about making the elements of the list stable, a dry-run table is in play. Don’t blame it until you have traced a ticket queue node.

Without Partitioning a linked list around a given value and If we don't care about making the elements of the list stable, a counter gets messy and a ticket queue node is hard to trust.

Partitioning a linked list around a given value and If we don't care about making the elements of the list stable shows up in a counter. Name a ticket queue node, not “a real-world scenario”.

Don’t do this with Partitioning a linked list around a given value and If we don't care about making the elements of the list stable: losing the next pointer on delete. Interviewers spot it in ten seconds.

Place Partitioning a linked list around a given value and If we don't care about making the elements of the list stable next to nearby DSA work — head → next → … is the link.

Viva for Partitioning a linked list around a given value and If we don't care about making the elements of the list stable: what it is → head → next → … → the mistake (losing the next pointer on delete).

Diagram
  [10] → [20] → [30] → /
   head              tail
Exam tip

Say Partitioning a linked list around a given value and If we don't care about making the elements of the list stable in one breath, then head → next → …, then losing the next pointer on delete.

Example

class Node:
    def __init__(self, val, next=None):
        self.val = val
        self.next = next

head = Node(1, Node(2, Node(3)))
cur = head
while cur:
    print(cur.val, end=" -> " if cur.next else "\n")
    cur = cur.next

Partitioning a linked list around a given value and If we don't care about making the elements of the list stable — a linked list chains nodes with next pointers instead of contiguous indexes.

Short notes

  • DefPartitioning a linked list around a given value and If we don't care about making the elements of the list stable — Neha uses it for a ticket queue node in a counter.
  • RulePartitioning a linked list around a given value and If we don't care about making the elements of the list stable → head → next → ….
  • RememberPartitioning a linked list around a given value and If we don't care about making the elements of the list stable + a dry-run table (a counter).
  • UsePartitioning a linked list around a given value and If we don't care about making the elements of the list stable in a counter (a ticket queue node).
  • TrapPartitioning a linked list around a given value and If we don't care about making the elements of the list stable — losing the next pointer on delete.
  • ExPartitioning a linked list around a given value and If we don't care about making the elements of the list stable → a ticket queue node.

Questions

1

In one breath: what does Partitioning a linked list around a given value and If we don't care about making the elements of the list stable do for Neha?

2

If you skip Partitioning a linked list around a given value and If we don't care about making the elements of the list stable, what breaks in a counter?

3

How do you catch losing the next pointer on delete?

4

Dry-run head → next → … and say the result.

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