How hard is LeetCode 2823. Deep Object Filter?

LeetCode 2823. Deep Object Filter is rated Medium on LeetCode.

What topics does LeetCode 2823. Deep Object Filter cover?

LeetCode 2823. Deep Object Filter is tagged JavaScript on LeetCode.

Is LeetCode 2823. Deep Object Filter a premium problem?

Yes. LeetCode 2823. Deep Object Filter is a LeetCode Premium problem, so the full statement and test cases require a paid LeetCode subscription.

MediumNo. 2823LeetCode Premium

Deep Object Filter — LeetCode 2823 Python Solution

Topics: JavaScript
Reading time: 2 min
Source: leetcode.com

The problem

Given an object or an array obj and a function fn, return a filtered object or array filteredObject. Function deepFilter should perform a deep filter operation on the obj.

Example

Input: obj = [-5, -4, -3, -2, -1, 0, 1],
Output: [1]
Explanation: All values that were not greater than 0 were removed.

Complexity

Time: O(n)
Space · auxiliary: O(1) to O(n)

Related problems
No.	Problem	Difficulty
0057	Insert Interval	Medium
0192	Word Frequency	Medium
0193	Valid Phone Numbers	Easy
0194	Transpose File	Medium
0195	Tenth Line	Easy
0228	Summary Ranges	Easy

Frequently asked questions

How hard is LeetCode 2823. Deep Object Filter?: LeetCode 2823. Deep Object Filter is rated Medium on LeetCode.
What topics does LeetCode 2823. Deep Object Filter cover?: LeetCode 2823. Deep Object Filter is tagged JavaScript on LeetCode.
Is LeetCode 2823. Deep Object Filter a premium problem?: Yes. LeetCode 2823. Deep Object Filter is a LeetCode Premium problem, so the full statement and test cases require a paid LeetCode subscription.

Stuck on problems like this in a live interview?

Stealth Interview is a desktop app for macOS and Windows. It reads the problem off your screen and returns a working solution with a step-by-step explanation and its time and space complexity, invisible to screen sharing.

Download for Mac Download for Windows

Free to download. Check it runs on your machine, then pick a plan.

90%Subscription

python

Please analyze this context and help me answer the question or solve the problem.

Transcript

"Okay, next one. Given a string, return the length of the longest substring that has no repeating characters. Walk me through your approach before you code it."

Technical interview · 45 minsolution.pyShared editor · Python 3Longest substring without repeatsMediumGiven a string s, return the length of the longest contiguous substring in which every character is unique.s = "abcabcbb"
→ 31def length_of_longest_substring(s: str) -> int:2 last_seen = {}3 left = best = 04 for right, ch in enumerate(s):5 if ch in last_seen and last_seen[ch] >= left:

python

def length_of_longest_substring(s: str) -> int:    last_seen = {}                    # char -> index    left = best = 0    for right, ch in enumerate(s):        if ch in last_seen and last_seen[ch] >= left:            left = last_seen[ch] + 1  # jump past it        last_seen[ch] = right        best = max(best, right - left + 1)    return best    last_seen = {}                    # char -> index

Approach

At each index r, the window's left edge is:

left r = max (left r -1, last[s r] + 1)

Time O(n): each character enters and leaves the window once.
Space O(min(n, k)): k is the size of the character set.

Type your message...

GPT-6.1 Terra

Transcribing...

90%Subscription

python

Please analyze this context and help me answer the question or solve the problem.

Transcript

"Okay, next one. Given a string, return the length of the longest substring that has no repeating characters. Walk me through your approach before you code it."

python

def length_of_longest_substring(s: str) -> int:    last_seen = {}                    # char -> index    left = best = 0    for right, ch in enumerate(s):        if ch in last_seen and last_seen[ch] >= left:            left = last_seen[ch] + 1  # jump past it        last_seen[ch] = right        best = max(best, right - left + 1)    return best    last_seen = {}                    # char -> index

Approach

At each index r, the window's left edge is:

left r = max (left r -1, last[s r] + 1)

Time O(n): each character enters and leaves the window once.
Space O(min(n, k)): k is the size of the character set.

Type your message...

GPT-6.1 TerraClear chat

Transcribing...

QuitEscHide+QCapture+PCrop+OSubmit+EnterPress to get answerLeft/Right+Up/Down+

90%Subscription

python

Please analyze this context and help me answer the question or solve the problem.

Transcript

"Okay, next one. Given a string, return the length of the longest substring that has no repeating characters. Walk me through your approach before you code it."

python

def length_of_longest_substring(s: str) -> int:    last_seen = {}                    # char -> index    left = best = 0    for right, ch in enumerate(s):        if ch in last_seen and last_seen[ch] >= left:            left = last_seen[ch] + 1  # jump past it        last_seen[ch] = right        best = max(best, right - left + 1)    return best    last_seen = {}                    # char -> index

Approach

At each index r, the window's left edge is:

left r = max (left r -1, last[s r] + 1)

Time O(n): each character enters and leaves the window once.
Space O(min(n, k)): k is the size of the character set.

Type your message...

GPT-6.1 TerraClear chat

Transcribing...

Primary display

QuitEscHide+QCapture+PCrop+OSubmit+EnterPress to get answerLeft/Right+Up/Down+

The problem

Example

Complexity

Related problems

Frequently asked questions

Stuck on problems like this in a live interview?

Approach

Approach

Approach