Cy 401 - #82
Cy 401#82
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📝 WalkthroughWalkthroughUpdates two subject ChangesAL-401 Question Data Updates
CY-401 Question Data Population
Estimated code review effort: 3 (Moderate) | ~25 minutes Possibly related PRs
Suggested reviewers: 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 inconclusive)
✅ Passed checks (4 passed)
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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Actionable comments posted: 3
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Some comments are outside the diff and can’t be posted inline due to platform limitations.
⚠️ Outside diff range comments (1)
content/rgpv/aiml/semester-4/al-401/pyqs.json (1)
26-138: 🗄️ Data Integrity & Integration | 🟠 Major | 🏗️ Heavy liftJune 2025 sub-questions are missing required
unitfields.The
SubQuestiontype intypes/pyq.tsdeclaresunitas a required string field, but none of the June 2025 paper's sub-questions (Q1–Q8) include it. All other papers in this file haveuniton every sub-question. SincegetPYQsparses JSON without runtime validation, any UI code accessingsubQuestion.unitfor June 2025 will receiveundefined, risking display glitches or filtering failures.🔧 Add `unit` and `type` to June 2025 sub-questions
For each sub-question in the June 2025 paper, add
"unit"and"type"fields consistent with the subject matter. For example:{ "id": "q1a", "label": "a)", - "text": "Define Venn diagram. Draw the Venn diagrams for each of these combinations of the sets A, B and C.\ni) A ∩ (B - C)\nii) (A ∩ B) ∪ (A ∩ C)" + "text": "Define Venn diagram. Draw the Venn diagrams for each of these combinations of the sets A, B and C.\ni) A ∩ (B - C)\nii) (A ∩ B) ∪ (A ∩ C)", + "unit": "Unit 1", + "type": "sets-relations" },Repeat for all sub-questions in the June 2025 paper, assigning appropriate
unitandtypevalues based on the topic of each question.🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@content/rgpv/aiml/semester-4/al-401/pyqs.json` around lines 26 - 138, The June 2025 sub-questions in the pyqs JSON are missing required metadata fields, so update each sub-question object under the June 2025 paper to include both unit and type consistently with the rest of the file. Use the existing SubQuestion shape from types/pyq.ts and mirror the same structure already present in other papers, ensuring every question block from Q1 through Q8 has these fields so consumers of getPYQs and any UI reading subQuestion.unit or subQuestion.type won’t see undefined values.
🧹 Nitpick comments (1)
content/rgpv/aiml/semester-4/al-401/pyqs.json (1)
295-295: 📐 Maintainability & Code Quality | 🔵 Trivial | 💤 Low valueInconsistent mixed
unitvalues for multi-topic questions.Three sub-questions use slash-separated unit values (
"Unit 5/2","Unit 2/3/5","Unit 1/3") while all other sub-questions use single-unit values ("Unit 1"through"Unit 5"). If the UI filters or groups byunit, these mixed values won't match any single-unit filter. Consider using a consistent format such as an array or the primary unit.Also applies to: 455-455, 782-782
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the rest with a brief reason, keep changes minimal, and validate. In `@content/rgpv/aiml/semester-4/al-401/pyqs.json` at line 295, The multi-topic question entries in pyqs.json use inconsistent slash-separated unit values, unlike the rest of the dataset that uses a single unit string. Update the affected records identified by the unit fields in the diff so they follow the same schema as the other question objects, using one consistent representation for multi-topic coverage (for example, a primary unit or a structured list) and keep the unit values uniform across the file. Refer to the question entry fields around the existing unit property values to locate and normalize all three mixed cases.
🤖 Prompt for all review comments with AI agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
Inline comments:
In `@content/rgpv/aiml/semester-4/al-401/pyqs.json`:
- Line 601: The ANOVA question text in the pyqs data uses an incorrect
significance level of α = 0.5; update the affected question entry so it uses the
standard α = 0.05 instead. Make this change in the JSON record containing the
fertilizer ANOVA prompt, keeping the rest of the question text unchanged and
ensuring the value matches the other statistical questions in this dataset.
- Line 281: Update the question text in the JSON entry for Q7(b) December 2024
to fix the grammar: change “B.Sc. Student” to “B.Sc. Students” and “sample of
student” to “sample of students”. Keep the rest of the wording unchanged and
make the edit in the relevant `text` field so the prompt reads naturally.
In `@content/rgpv/cscy/semester-4/cy-401/pyqs.json`:
- Around line 426-431: The Q6b entry has a dimension mismatch: the description
in the primary-decomposition question uses a 2×2 matrix and R², but the
characteristic polynomial in the same `text` field is degree 3. Update the
`text` for the `q6b` object so the matrix size, ambient space, and
characteristic polynomial are consistent, using the surrounding `id`, `label`,
and `type` fields to locate the JSON record.
---
Outside diff comments:
In `@content/rgpv/aiml/semester-4/al-401/pyqs.json`:
- Around line 26-138: The June 2025 sub-questions in the pyqs JSON are missing
required metadata fields, so update each sub-question object under the June 2025
paper to include both unit and type consistently with the rest of the file. Use
the existing SubQuestion shape from types/pyq.ts and mirror the same structure
already present in other papers, ensuring every question block from Q1 through
Q8 has these fields so consumers of getPYQs and any UI reading subQuestion.unit
or subQuestion.type won’t see undefined values.
---
Nitpick comments:
In `@content/rgpv/aiml/semester-4/al-401/pyqs.json`:
- Line 295: The multi-topic question entries in pyqs.json use inconsistent
slash-separated unit values, unlike the rest of the dataset that uses a single
unit string. Update the affected records identified by the unit fields in the
diff so they follow the same schema as the other question objects, using one
consistent representation for multi-topic coverage (for example, a primary unit
or a structured list) and keep the unit values uniform across the file. Refer to
the question entry fields around the existing unit property values to locate and
normalize all three mixed cases.
🪄 Autofix (Beta)
Fix all unresolved CodeRabbit comments on this PR:
- Push a commit to this branch (recommended)
- Create a new PR with the fixes
ℹ️ Review info
⚙️ Run configuration
Configuration used: defaults
Review profile: CHILL
Plan: Pro
Run ID: b09ca310-2482-48fb-badc-085ce0e9f68a
📒 Files selected for processing (2)
content/rgpv/aiml/semester-4/al-401/pyqs.jsoncontent/rgpv/cscy/semester-4/cy-401/pyqs.json
| "id": "q7b", | ||
| "label": "b)", | ||
| "text": "A sample of 100 B.Sc. Student is taken from a medical college with height having standard deviation (S.D. = 10 cm). The mean height of sample of student is found 168.8 cm. Can we accept that the mean height of student is 170 cm. Justify your answer." | ||
| "text": "A sample of 100 B.Sc. Student is taken from a medical college with height having standard deviation (S.D.= 10 cm). The mean height of sample of student is found 168.8 cm. Can we accept that the mean height of student is 170 cm. Justify your answer.", |
There was a problem hiding this comment.
📐 Maintainability & Code Quality | 🟡 Minor | ⚡ Quick win
Fix grammatical errors in Q7(b) December 2024.
"B.Sc. Student" should be "B.Sc. Students" and "sample of student" should be "sample of students".
✏️ Proposed fix
- "text": "A sample of 100 B.Sc. Student is taken from a medical college with height having standard deviation (S.D.= 10 cm). The mean height of sample of student is found 168.8 cm. Can we accept that the mean height of student is 170 cm. Justify your answer.",
+ "text": "A sample of 100 B.Sc. Students is taken from a medical college with height having standard deviation (S.D.= 10 cm). The mean height of sample of students is found 168.8 cm. Can we accept that the mean height of students is 170 cm. Justify your answer.",📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| "text": "A sample of 100 B.Sc. Student is taken from a medical college with height having standard deviation (S.D.= 10 cm). The mean height of sample of student is found 168.8 cm. Can we accept that the mean height of student is 170 cm. Justify your answer.", | |
| "text": "A sample of 100 B.Sc. Students is taken from a medical college with height having standard deviation (S.D.= 10 cm). The mean height of sample of students is found 168.8 cm. Can we accept that the mean height of students is 170 cm. Justify your answer.", |
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@content/rgpv/aiml/semester-4/al-401/pyqs.json` at line 281, Update the
question text in the JSON entry for Q7(b) December 2024 to fix the grammar:
change “B.Sc. Student” to “B.Sc. Students” and “sample of student” to “sample of
students”. Keep the rest of the wording unchanged and make the edit in the
relevant `text` field so the prompt reads naturally.
| { | ||
| "id": "q7b", | ||
| "label": "b)", | ||
| "text": "An agricultural research organization wants to study the effect of four types of fertilizers on the yield of crop. Fill in the blanks in the ANOVA table and test at α = 0.5, whether the fertilizers differ significantly.", |
There was a problem hiding this comment.
🎯 Functional Correctness | 🟠 Major | ⚡ Quick win
Significance level α = 0.5 is likely a typo for α = 0.05.
A 50% significance level is statistically meaningless in an ANOVA context. This should almost certainly be α = 0.05 (5% level), which is the standard value used throughout other papers in this file (e.g., line 281, line 920).
🐛 Proposed fix
- "text": "An agricultural research organization wants to study the effect of four types of fertilizers on the yield of crop. Fill in the blanks in the ANOVA table and test at α = 0.5, whether the fertilizers differ significantly.",
+ "text": "An agricultural research organization wants to study the effect of four types of fertilizers on the yield of crop. Fill in the blanks in the ANOVA table and test at α = 0.05, whether the fertilizers differ significantly.",📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| "text": "An agricultural research organization wants to study the effect of four types of fertilizers on the yield of crop. Fill in the blanks in the ANOVA table and test at α = 0.5, whether the fertilizers differ significantly.", | |
| "text": "An agricultural research organization wants to study the effect of four types of fertilizers on the yield of crop. Fill in the blanks in the ANOVA table and test at α = 0.05, whether the fertilizers differ significantly.", |
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@content/rgpv/aiml/semester-4/al-401/pyqs.json` at line 601, The ANOVA
question text in the pyqs data uses an incorrect significance level of α = 0.5;
update the affected question entry so it uses the standard α = 0.05 instead.
Make this change in the JSON record containing the fertilizer ANOVA prompt,
keeping the rest of the question text unchanged and ensuring the value matches
the other statistical questions in this dataset.
| "id": "q6b", | ||
| "label": "b)", | ||
| "text": "Consider a 2×2 matrix G with characteristic polynomial (t+1)²(t-2) and minimal polynomial (t+1)(t-2). Determine the primary decomposition of R² with respect to G.", | ||
| "unit": "Unit 4", | ||
| "type": "primary-decomposition" | ||
| } |
There was a problem hiding this comment.
🗄️ Data Integrity & Integration | 🟠 Major | ⚡ Quick win
Verify the matrix dimension in Q6b (June 2024).
Line 428 states "a 2×2 matrix G with characteristic polynomial (t+1)²(t-2)". The polynomial (t+1)²(t-2) expands to a degree-3 polynomial, which is impossible for a 2×2 matrix (whose characteristic polynomial must be degree 2). Additionally, the question asks for the primary decomposition of R², which is 2-dimensional. Either the matrix should be 3×3 (and the space R³), or the characteristic polynomial should be degree 2. This appears to be a transcription error.
🔧 Suggested fix
- "text": "Consider a 2×2 matrix G with characteristic polynomial (t+1)²(t-2) and minimal polynomial (t+1)(t-2). Determine the primary decomposition of R² with respect to G.",
+ "text": "Consider a 3×3 matrix G with characteristic polynomial (t+1)²(t-2) and minimal polynomial (t+1)(t-2). Determine the primary decomposition of R³ with respect to G.",📝 Committable suggestion
‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.
| "id": "q6b", | |
| "label": "b)", | |
| "text": "Consider a 2×2 matrix G with characteristic polynomial (t+1)²(t-2) and minimal polynomial (t+1)(t-2). Determine the primary decomposition of R² with respect to G.", | |
| "unit": "Unit 4", | |
| "type": "primary-decomposition" | |
| } | |
| "id": "q6b", | |
| "label": "b)", | |
| "text": "Consider a 3×3 matrix G with characteristic polynomial (t+1)²(t-2) and minimal polynomial (t+1)(t-2). Determine the primary decomposition of R³ with respect to G.", | |
| "unit": "Unit 4", | |
| "type": "primary-decomposition" |
🤖 Prompt for AI Agents
Verify each finding against current code. Fix only still-valid issues, skip the
rest with a brief reason, keep changes minimal, and validate.
In `@content/rgpv/cscy/semester-4/cy-401/pyqs.json` around lines 426 - 431, The
Q6b entry has a dimension mismatch: the description in the primary-decomposition
question uses a 2×2 matrix and R², but the characteristic polynomial in the same
`text` field is degree 3. Update the `text` for the `q6b` object so the matrix
size, ambient space, and characteristic polynomial are consistent, using the
surrounding `id`, `label`, and `type` fields to locate the JSON record.
🎉 Congratulations @RamuuXfree!Thank you for contributing to HyperLearningTech. Your pull request has been successfully merged into main. 📦 Merge Summary
🚀 Keep Contributing
Thank you for helping make HyperLearningTech better. Happy Coding! 🚀 |
Summary
Adds complete CY-401 (Introduction to Linear Algebra) previous year question papers and updates AL-401 metadata and formatting. Also synchronizes the branch with the latest
main.Related Issue
Closes #
Type of Change
What Changed?
content/rgpv/cscy/semester-4/cy-401/pyqs.json.content/rgpv/aiml/semester-4/al-401/pyqs.json.mainintocy-401and resolved merge conflicts.Screenshots (UI Changes Only)
N/A
Testing
main.Checklist
main.npx prettier --write <file>).npm run format:checkpasses.npm run lintpasses.npm run typecheckpasses.npm run buildpasses.Additional Notes
mainintocy-401.