Write a function as seen in the photo. Do NOT use any loops **Problem 2: Function to Calculate Loss**Write a function `loss(x, q)` to return \[\sum_{{j=0, j \neq q}}^{K-1} \max(0, x_j - x_q + 1)\]where `x` is a 1-dimensional array of `K` floats, and `q` is an integer such that \(0 \leq q \leq K - 1\). Here, \(x_j\) is the \((j + 1)\)-th element of the array `x`.**Example:**- If \(s = \text{np.array}([5, 1, 3, 6])\), then `loss(s, 2)` returns `7`. - (Note: \(s[2] = 3\).)**Python Code Structure:**```python1 pass2 3 def loss(x, q):4 5 s = np.array([5, 1, 3, 6])6 loss(s, 2)```**Explanation:**The task is to create a function named `loss` that calculates a specific summation formula. The formula iterates over all elements of the provided array `x`, except for the element at index `q`. For each other element \(x_j\), it calculates \(\max(0, x_j - x_q + 1)\) and sums these values. The example provided illustrates the function's behavior when invoked with the array `s = np.array([5, 1, 3, 6])` and `q = 2`. The result is `7`, indicating the solution to the summation for this specific case.

import numpy as np #importing numpy as np def loss(x,q):k = len(x) #finding the lenght of the…

Answered: K-1 roblem 2. Write a function loss(x,…

K-1 roblem 2. Write a function loss(x, q) to return E ita max(0, x¡ – xa + 1), where x is a 1darray of K floats, q is an integer with <9

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Concept explainers

Randomized Select Algorithm

A randomized algorithm is defined as one that uses a certain amount of randomization in its logic or operation. It is said to be an algorithm that depends on the random number to perform its operation. It is used for reducing the overall time complexity, space complexity in the standard algorithm. The randomized algorithm uses the concept of random numbers to find the solutions to the different kinds of problems and also to improve the problem solutions.

Question

Write a function as seen in the photo. Do NOT use any loops

**Problem 2: Function to Calculate Loss**

Write a function `loss(x, q)` to return

\[
\sum_{{j=0, j \neq q}}^{K-1} \max(0, x_j - x_q + 1)
\]

where `x` is a 1-dimensional array of `K` floats, and `q` is an integer such that \(0 \leq q \leq K - 1\). Here, \(x_j\) is the \((j + 1)\)-th element of the array `x`.

**Example:**

- If \(s = \text{np.array}([5, 1, 3, 6])\), then `loss(s, 2)` returns `7`.
- (Note: \(s[2] = 3\).)

**Python Code Structure:**

```python
1 pass
2
3 def loss(x, q):
4
5 s = np.array([5, 1, 3, 6])
6 loss(s, 2)
```

**Explanation:**

The task is to create a function named `loss` that calculates a specific summation formula. The formula iterates over all elements of the provided array `x`, except for the element at index `q`. For each other element \(x_j\), it calculates \(\max(0, x_j - x_q + 1)\) and sums these values.

The example provided illustrates the function's behavior when invoked with the array `s = np.array([5, 1, 3, 6])` and `q = 2`. The result is `7`, indicating the solution to the summation for this specific case.

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