Grade 7 · lesson 2 of 4

Keep Local Work Separate from Shared State

Distinguish a local temporary, returned result and stated external side effect.

About 18 minutes, plus any extended practice

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Supplied materials

  • Paper and pencil; answers may also be spoken or typed.
  • All cases, labels, numbers and rules are supplied on this page. No real account, private information or purchase is needed.

Learn the idea

Local variables belong to a function call’s own work under the stated model. A program can also use shared state, but hidden shared changes make reasoning harder. A pure calculation returns a result from its inputs without changing external state. Scope must be explicit before tracing a result.

Distinguish a local temporary, returned result and stated external side effect. Two functions using the same local name do not automatically share one variable.

Use this supplied case: t exists only during this function call. Which role is described? The task is to connect the given information to the computing idea. Write a short evidence trail so another learner can reproduce your choice. The simplified case describes the stated model, not every real system.

  1. Represent the supplied worked case with a labeled drawing, table or short trace.
  2. Distinguish a local temporary, returned result and stated external side effect.
  3. Explain why the worked answer fits and why one alternative does not.
  4. Try the new check and practice cases; revisit the stated rule if your evidence does not match.
Worked example

See the method in action

t exists only during this function call. Which role is described? The supported answer is Local temporary. Distinguish a local temporary, returned result and stated external side effect. Two functions using the same local name do not automatically share one variable. Local variables belong to a function call’s own work under the stated model.

Your turn

Check your reasoning

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Helpful tips
  • Distinguish a local temporary, returned result and stated external side effect.
  • Two functions using the same local name do not automatically share one variable.
Function hands its answer back to the caller. Which role is described?

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See the answer and explanation

Returned result

The supplied case states: Function hands its answer back to the caller. Which role is described? Under the stated distinction, this identifies Returned result. Local variables belong to a function call’s own work under the stated model. A program can also use shared state, but hidden shared changes make reasoning harder. A pure calculation returns a result from its inputs without changing external state. Scope must be explicit before tracing a result. Distinguish a local temporary, returned result and stated external side effect.

Take it further

Two calls each define local temp. Expected: separate local work under the model; shared-state changes need an explicit definition.

Nothing here is saved to an account or sent to a teacher. The answer download includes your current choice and any checked feedback. It does not include choices from the separate More practice section. Download that section separately.

More practice: try new cases

Choose an answer for each problem. Explain your method on paper, then use the feedback to decide what to revisit.

More practice: try new cases
1. Function changes a shared counter outside the call. Which role is described?
Need a hint?
  • Distinguish a local temporary, returned result and stated external side effect.
  • Two functions using the same local name do not automatically share one variable.
2. Two calls each have their own local t. Which role is described?
Need a hint?
  • Distinguish a local temporary, returned result and stated external side effect.
  • Two functions using the same local name do not automatically share one variable.
3. scratch exists only inside one call. Which role is described?
Need a hint?
  • Distinguish a local temporary, returned result and stated external side effect.
  • Two functions using the same local name do not automatically share one variable.

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