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SciCode / 29.1 / Provide a fucntion that normalizes the input vector. The input should be a numpy…

Problem

Answer published by the source. Consult the official source to check your work against its answer.

step background

Background The formula to normalize a vector

v

using the L2 norm is:

$$
\mathbf{v}^{\prime}=\frac{\mathbf{v}}{\|\mathbf{v}\|_2}
$$

where

\|\mathbf{v}\|_2=\sqrt{v_1^2+v_2^2+\ldots+v_N^2}

Plain-text mathematical notation (without MathML)

Background

The formula to normalize a vector v using the L2 norm is:
$$
\mathbf{v}^{\prime}=\frac{\mathbf{v}}{\|\mathbf{v}\|_2}
$$
where ‖v‖₂=√(v₁²+v₂²+…+v_(N)²).

Original LaTeX notation

Background

The formula to normalize a vector $v$ using the L2 norm is:
$$
\mathbf{v}^{\prime}=\frac{\mathbf{v}}{\|\mathbf{v}\|_2}
$$
where $\|\mathbf{v}\|_2=\sqrt{v_1^2+v_2^2+\ldots+v_N^2}$.

step description prompt

Provide a fucntion that normalizes the input vector. The input should be a numpy array and the output should be a numpy array with the same shape.

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Source and history

upstream_id / Original problem ID: 29.1
task_id: a685bfa4-45dd-5129-ba3d-9a73f1c0f850
task_key: dev--9030474a-b5b5-5851-8469-165589d3b509--29~2e1
task_revision_id: 3
config / split: / dev

Official source

initial import