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Scalar Broadcasting

EasyNumPy Broadcasting

Problem Statement

Apply scalar operations to arrays using broadcasting.

Background

Broadcasting allows NumPy to work with arrays of different shapes:

  • Scalar + array: adds scalar to every element
  • Scalar * array: multiplies every element
  • This is much faster than Python loops!

Your Task

Write a function scalar_ops(arr, scalar) that performs operations.

Output Format

Return a dictionary with:

  • "add": arr + scalar (as list)
  • "multiply": arr * scalar (as list)
  • "power": arr ** scalar (as list)
  • "divide": arr / scalar (rounded to 2 decimals, as list)

Example:

Input:
arr = [1, 2, 3, 4], scalar = 2
Output:
{'add': [3, 4, 5, 6], 'multiply': [2, 4, 6, 8], 'power': [1, 4, 9, 16], 'divide': [0.5, 1.0, 1.5, 2.0]}
Reasoning:

Broadcasting applies scalar to each element

Constraints:

  • scalar will be non-zero
  • Round division to 2 decimal places
Editor

Test Results

0/0
Run code to see test results.