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CHAPTER 05 · 5 LESSONS

05 · Modules and explicit imports

Modules let a lesson separate a public API from implementation details.

English guide ↗ हिन्दी अध्याय ↗ Coding lab for this chapter ↗

YOUR CHAPTER LEARNING PATH · सीखने का क्रम

Read. Check. Build.

Three linked steps using real Scarp source and verified output.

  1. Read the lessons · पाठ पढ़ें

    Work through all 5 verified examples. Save optional local lesson progress as you learn; this does not certify code execution.

    Start with Modular Inference ↗

    Lesson tracking is optional and only available when browser storage works.

  2. Check understanding · समझ जाँचें

    Try 3 bilingual questions linked directly to their original source and expected output. No quiz score is stored.

    Review all three questions here · यहाँ अभ्यास करें ↓

  3. Write Scarp · कोड लिखें

    Edit the real starter locally, compare output with the compiler-verified goal, and use the hint or tested solution when needed.

    Open Use a public module binding lab ↗

Lesson completion is voluntary local tracking. Passing a quiz or lab is not automatically recorded or claimed by this website. The Scarp compiler runs locally, not in your browser.

Lessons in this chapter

01 Modular Inference import "...srp" as name, exported bindings, public pure functionQuick check · प्रश्न 02 Constant Expressions Exported constants, chained imports and a function's default argumentQuick check · प्रश्न 03 Integer Series Import a typed integers API, supply a named argument and call a numerical helperQuick check · प्रश्न 04 Public Private Api Exported function calls an internal helper without exporting it 05 Exported Signatures Typed public constants, a pure function and its default argument
Practice this chapter · इस अध्याय का अभ्यास करें 3 bilingual, compiler-evidenced questions

Answer all three questions using the checked-in lessons. Feedback runs only in your browser; there is no stored score, automatic lesson completion or Scarp execution. Answers remain readable without JavaScript.

Question 1 of 3 · Modular Inference · View source and recorded output ↗

SOURCE-BACKED SELF-CHECK · स्रोत-आधारित अभ्यास

Quick checkpoint / त्वरित अभ्यास

Which score vector is returned by linear.predict([2.0, 1.0]) in this example?इस उदाहरण में linear.predict([2.0, 1.0]) कौन-सा स्कोर वेक्टर देता है?

Reveal the source-backed answer / सही उत्तर देखें

[4.0, 1.0] — The imported linear module computes the scores. The pinned fixture for this lesson prints [4.0, 1.0].[4.0, 1.0] — इम्पोर्ट किया गया linear मॉड्यूल स्कोर निकालता है। इस पाठ के सत्यापित आउटपुट में [4.0, 1.0] प्रिंट होता है।

This question checks understanding of a recorded compiler output. It does not run Scarp in the browser. यह प्रश्न सत्यापित आउटपुट पर आधारित है; ब्राउज़र में Scarp नहीं चलता।

Question 2 of 3 · Constant Expressions · View source and recorded output ↗

SOURCE-BACKED SELF-CHECK · स्रोत-आधारित अभ्यास

Quick checkpoint / त्वरित अभ्यास

What is the value of doubled when constants.answer is 42?constants.answer का मान 42 होने पर doubled का मान क्या होता है?

Reveal the source-backed answer / सही उत्तर देखें

84 — The exported binding doubled is constants.answer multiplied by 2. With answer = 42, doubled is 84.84 — exported binding doubled में constants.answer को 2 से गुणा किया गया है। 42 × 2 = 84।

This question checks understanding of a recorded compiler output. It does not run Scarp in the browser. यह प्रश्न सत्यापित आउटपुट पर आधारित है; ब्राउज़र में Scarp नहीं चलता।

Question 3 of 3 · Integer Series · View source and recorded output ↗

SOURCE-BACKED SELF-CHECK · स्रोत-आधारित अभ्यास

Quick checkpoint / त्वरित अभ्यास

What value does series.low_bits & 0x3 print in this example?इस उदाहरण में series.low_bits & 0x3 कौन-सा मान प्रिंट करता है?

Reveal the source-backed answer / सही उत्तर देखें

3 — The bitwise AND mask 0x3 keeps the lowest two bits; the checked output ends with 3.3 — bitwise AND मास्क 0x3 सबसे निचले दो बिट रखता है; सत्यापित आउटपुट का अंतिम मान 3 है।

This question checks understanding of a recorded compiler output. It does not run Scarp in the browser. यह प्रश्न सत्यापित आउटपुट पर आधारित है; ब्राउज़र में Scarp नहीं चलता।

All examples are validated with Scarp v0.0.6-alpha.3. Each lesson has its own code and expected-output page.