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inferIntent.ts
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402 lines (331 loc) · 9.04 KB
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/**
* documentation/inferIntent.ts
* Event 010: Intent Inference from Test Cases
*
* Математична семантика через приклади (не NLP).
* Система розпізнає паттерни в test cases і виводить інтенцію.
*/
export interface InferredIntent {
semanticName: string; // "average", "sum", "product", etc.
description: string; // Human-readable purpose
confidence: number; // 0.0 - 1.0
pattern: string; // Mathematical pattern detected
}
/**
* Інферує інтенцію з test cases
*
* Аналізує математичні відношення між input та output.
*/
export const inferIntent = (testCases: Array<{ input: any; expected: any }>): InferredIntent => {
// Default: unknown
let result: InferredIntent = {
semanticName: 'unknown',
description: 'Unknown morphism',
confidence: 0,
pattern: 'no pattern detected'
};
// Need at least 2 test cases for pattern detection
if (testCases.length < 2) {
return result;
}
// Try to detect patterns
const patterns = [
detectAverage,
detectSum,
detectProduct,
detectMax,
detectMin,
detectCount,
detectMedian,
detectFirst,
detectLast
];
for (const detector of patterns) {
const detected = detector(testCases);
if (detected && detected.confidence > result.confidence) {
result = detected;
}
}
return result;
};
// ============================================================================
// PATTERN DETECTORS
// ============================================================================
/**
* Detect average pattern
* Input: array-like, Output: sum/length
*/
const detectAverage = (testCases: Array<{ input: any; expected: any }>): InferredIntent | null => {
try {
let matches = 0;
for (const tc of testCases) {
// Convert input to array of numbers
const arr = inputToArray(tc.input);
if (!arr) continue;
// Calculate expected average
const sum = arr.reduce((a, b) => a + b, 0);
const avg = sum / arr.length;
// Check if output matches average
if (Math.abs(tc.expected - avg) < 0.01) {
matches++;
}
}
const confidence = matches / testCases.length;
if (confidence >= 0.8) {
return {
semanticName: 'average',
description: 'Обчислює середнє значення елементів послідовності',
confidence,
pattern: '(x₁ + x₂ + ... + xₙ) / n'
};
}
} catch (error) {
// Pattern doesn't match
}
return null;
};
/**
* Detect sum pattern
*/
const detectSum = (testCases: Array<{ input: any; expected: any }>): InferredIntent | null => {
try {
let matches = 0;
for (const tc of testCases) {
const arr = inputToArray(tc.input);
if (!arr) continue;
const sum = arr.reduce((a, b) => a + b, 0);
if (Math.abs(tc.expected - sum) < 0.01) {
matches++;
}
}
const confidence = matches / testCases.length;
if (confidence >= 0.8) {
return {
semanticName: 'sum',
description: 'Обчислює суму всіх елементів',
confidence,
pattern: 'x₁ + x₂ + ... + xₙ'
};
}
} catch (error) {
// Pattern doesn't match
}
return null;
};
/**
* Detect product pattern
*/
const detectProduct = (testCases: Array<{ input: any; expected: any }>): InferredIntent | null => {
try {
let matches = 0;
for (const tc of testCases) {
const arr = inputToArray(tc.input);
if (!arr) continue;
const product = arr.reduce((a, b) => a * b, 1);
if (Math.abs(tc.expected - product) < 0.01) {
matches++;
}
}
const confidence = matches / testCases.length;
if (confidence >= 0.8) {
return {
semanticName: 'product',
description: 'Обчислює добуток всіх елементів',
confidence,
pattern: 'x₁ × x₂ × ... × xₙ'
};
}
} catch (error) {
// Pattern doesn't match
}
return null;
};
/**
* Detect max pattern
*/
const detectMax = (testCases: Array<{ input: any; expected: any }>): InferredIntent | null => {
try {
let matches = 0;
for (const tc of testCases) {
const arr = inputToArray(tc.input);
if (!arr) continue;
const max = Math.max(...arr);
if (Math.abs(tc.expected - max) < 0.01) {
matches++;
}
}
const confidence = matches / testCases.length;
if (confidence >= 0.8) {
return {
semanticName: 'max',
description: 'Знаходить максимальний елемент',
confidence,
pattern: 'max(x₁, x₂, ..., xₙ)'
};
}
} catch (error) {
// Pattern doesn't match
}
return null;
};
/**
* Detect min pattern
*/
const detectMin = (testCases: Array<{ input: any; expected: any }>): InferredIntent | null => {
try {
let matches = 0;
for (const tc of testCases) {
const arr = inputToArray(tc.input);
if (!arr) continue;
const min = Math.min(...arr);
if (Math.abs(tc.expected - min) < 0.01) {
matches++;
}
}
const confidence = matches / testCases.length;
if (confidence >= 0.8) {
return {
semanticName: 'min',
description: 'Знаходить мінімальний елемент',
confidence,
pattern: 'min(x₁, x₂, ..., xₙ)'
};
}
} catch (error) {
// Pattern doesn't match
}
return null;
};
/**
* Detect count pattern
*/
const detectCount = (testCases: Array<{ input: any; expected: any }>): InferredIntent | null => {
try {
let matches = 0;
for (const tc of testCases) {
const arr = inputToArray(tc.input);
if (!arr) continue;
if (tc.expected === arr.length) {
matches++;
}
}
const confidence = matches / testCases.length;
if (confidence >= 0.8) {
return {
semanticName: 'count',
description: 'Підраховує кількість елементів',
confidence,
pattern: 'n (length)'
};
}
} catch (error) {
// Pattern doesn't match
}
return null;
};
/**
* Detect median pattern
*/
const detectMedian = (testCases: Array<{ input: any; expected: any }>): InferredIntent | null => {
try {
let matches = 0;
for (const tc of testCases) {
const arr = inputToArray(tc.input);
if (!arr) continue;
const sorted = [...arr].sort((a, b) => a - b);
const mid = Math.floor(sorted.length / 2);
const median = sorted.length % 2 === 0
? (sorted[mid - 1] + sorted[mid]) / 2
: sorted[mid];
if (Math.abs(tc.expected - median) < 0.01) {
matches++;
}
}
const confidence = matches / testCases.length;
if (confidence >= 0.8) {
return {
semanticName: 'median',
description: 'Знаходить медіану (середній елемент)',
confidence,
pattern: 'middle value of sorted array'
};
}
} catch (error) {
// Pattern doesn't match
}
return null;
};
/**
* Detect first element pattern
*/
const detectFirst = (testCases: Array<{ input: any; expected: any }>): InferredIntent | null => {
try {
let matches = 0;
for (const tc of testCases) {
const arr = inputToArray(tc.input);
if (!arr || arr.length === 0) continue;
if (tc.expected === arr[0]) {
matches++;
}
}
const confidence = matches / testCases.length;
if (confidence >= 0.8) {
return {
semanticName: 'first',
description: 'Повертає перший елемент',
confidence,
pattern: 'x₁'
};
}
} catch (error) {
// Pattern doesn't match
}
return null;
};
/**
* Detect last element pattern
*/
const detectLast = (testCases: Array<{ input: any; expected: any }>): InferredIntent | null => {
try {
let matches = 0;
for (const tc of testCases) {
const arr = inputToArray(tc.input);
if (!arr || arr.length === 0) continue;
if (tc.expected === arr[arr.length - 1]) {
matches++;
}
}
const confidence = matches / testCases.length;
if (confidence >= 0.8) {
return {
semanticName: 'last',
description: 'Повертає останній елемент',
confidence,
pattern: 'xₙ'
};
}
} catch (error) {
// Pattern doesn't match
}
return null;
};
// ============================================================================
// HELPERS
// ============================================================================
/**
* Convert input to array of numbers
*
* Handles:
* - Number (as range 0..n-1)
* - Array
*/
const inputToArray = (input: any): number[] | null => {
if (typeof input === 'number') {
// Range: 0 to n-1
return Array.from({ length: input }, (_, i) => i);
}
if (Array.isArray(input)) {
return input.filter(x => typeof x === 'number');
}
return null;
};