Algorithms: Searching

#include <stdio.h>
#include <stdlib.h>
#include <stdint.h>
#include <limits.h>
#include <errno.h>
// Interpolation Search in C
//
// PURPOSE
// Interpolation search estimates the target position from endpoint values, which can help on
// roughly uniform numeric data.
//
// METHOD
// Estimate a position proportional to the target value between endpoint values. Compare
// there and discard the impossible side. Handle equal endpoints separately.
//
// COMPLEXITY
// Expected O(log log n) comparisons for suitable uniform distributions; O(n) worst case,
// O(1) space.
//
// CONTRACT
// Ascending nonnegative integers <= 10000; n <= 10000 so the interpolation product fits
// signed 32-bit. Returns any matching index or -1.
// Public APIs infer array lengths except in C, which accepts pointer/length pairs. Vertex
// counts and matrix dimensions remain explicit. Arrays must contain signed 32-bit integers.
// Sorted order, correct tree topology, and caller-owned data-structure invariants are
// preconditions; checking them on every query would change query complexity.
// Scalar and shape checks are included. Value-range checks are included where needed to
// prevent invalid indexing or nontermination. Allocation sizes are capped at 4,000,000
// workspace entries. Arithmetic outside Python raises an error on 32-bit overflow; Python
// uses arbitrary precision. Native allocation failures propagate. In-place outputs may be
// partly updated after arithmetic failure. These are single-threaded, in-memory
// implementations.
//
// LANGUAGE DETAILS
// C99: checked calloc/free workspace, const input pointers, explicit size_t lengths. Errors
// return INT_MIN with errno=EINVAL, ERANGE, or ENOMEM. Check errno before using a result.
// Input/output arrays must not alias. No variable-length stack arrays.
//
// EXAMPLE
// Expected return: 2.
// Run: gcc -std=c99 -O2 example.c -o example && ./example
// Tests for this exact source artifact run before publication. The accompanying source
// archive includes unit cases, runtime results, and source hashes.

static int alg_min(int a, int b) { return a < b ? a : b; }
static int alg_max(int a, int b) { return a > b ? a : b; }
static int alg_checked(int64_t v, int *error) {
    if (v < INT_MIN || v > INT_MAX) { *error = 1; return 0; }
    return (int)v;
}
static int alg_add(int a, int b, int *e) { return alg_checked((int64_t)a+b,e); }
static int alg_sub(int a, int b, int *e) { return alg_checked((int64_t)a-b,e); }
static int alg_mul(int a, int b, int *e) { return alg_checked((int64_t)a*b,e); }

int interpolation_search(const int *a, size_t a_length, int target) {
    int alg_error = 0;
    int alg_result = INT_MIN;
    errno = 0;
    if (a_length > 1000000 || (a_length && !a)) { errno = EINVAL; alg_result = INT_MIN; goto alg_cleanup; }
    int n = (int)a_length;
    if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
    if (!(((n >= 0) && (n <= 1000000)))) { errno = EINVAL; alg_result = INT_MIN; goto alg_cleanup; }
    if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
    if (!(((int)a_length == n))) { errno = EINVAL; alg_result = INT_MIN; goto alg_cleanup; }
    if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
    if (!((n <= 10000))) { errno = EINVAL; alg_result = INT_MIN; goto alg_cleanup; }
    if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
    for (int alg_i = 0; alg_i < (int)a_length; alg_i++) {
        int alg_value = a[alg_i];
        if (!(((alg_value >= 0) && (alg_value <= 10000)))) { errno = EINVAL; alg_result = INT_MIN; goto alg_cleanup; }
        if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
    }
    int low = 0;
    if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
    int high = alg_sub(n, 1, &alg_error);
    if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
    int pos = 0;
    if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
    while (1) {
        int alg_condition = ((low <= high) && (target >= a[low]) && (target <= a[high]));
        if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
        if (!alg_condition) break;
        int alg_condition_1 = (a[low] == a[high]);
        if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
        if (alg_condition_1) {
            alg_result = low;
            if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
            goto alg_cleanup;
        }
        pos = alg_add(low, (alg_mul(alg_sub(target, a[low], &alg_error), alg_sub(high, low, &alg_error), &alg_error) / alg_sub(a[high], a[low], &alg_error)), &alg_error);
        if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
        int alg_condition_2 = (a[pos] == target);
        if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
        if (alg_condition_2) {
            alg_result = pos;
            if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
            goto alg_cleanup;
        }
        int alg_condition_3 = (a[pos] < target);
        if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
        if (alg_condition_3) {
            low = alg_add(pos, 1, &alg_error);
            if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
        } else {
            high = alg_sub(pos, 1, &alg_error);
            if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
        }
    }
    alg_result = alg_sub(0, 1, &alg_error);
    if (alg_error) { errno = ERANGE; alg_result = INT_MIN; goto alg_cleanup; }
    goto alg_cleanup;
alg_cleanup:
    return alg_result;
}

int main(void) {
    int a[] = {0, 10, 20, 30};
    int target = 20;
    int result = interpolation_search(a, 4, target);
    printf("%d\n", result);
    if (errno) { perror("algorithm"); return 1; }
    return 0;
}

#include <stdio.h>
#include <vector>
#include <algorithm>
#include <stdexcept>
#include <cstdint>
#include <limits>
// Interpolation Search in C++
//
// PURPOSE
// Interpolation search estimates the target position from endpoint values, which can help on
// roughly uniform numeric data.
//
// METHOD
// Estimate a position proportional to the target value between endpoint values. Compare
// there and discard the impossible side. Handle equal endpoints separately.
//
// COMPLEXITY
// Expected O(log log n) comparisons for suitable uniform distributions; O(n) worst case,
// O(1) space.
//
// CONTRACT
// Ascending nonnegative integers <= 10000; n <= 10000 so the interpolation product fits
// signed 32-bit. Returns any matching index or -1.
// Public APIs infer array lengths except in C, which accepts pointer/length pairs. Vertex
// counts and matrix dimensions remain explicit. Arrays must contain signed 32-bit integers.
// Sorted order, correct tree topology, and caller-owned data-structure invariants are
// preconditions; checking them on every query would change query complexity.
// Scalar and shape checks are included. Value-range checks are included where needed to
// prevent invalid indexing or nontermination. Allocation sizes are capped at 4,000,000
// workspace entries. Arithmetic outside Python raises an error on 32-bit overflow; Python
// uses arbitrary precision. Native allocation failures propagate. In-place outputs may be
// partly updated after arithmetic failure. These are single-threaded, in-memory
// implementations.
//
// LANGUAGE DETAILS
// C++17: const vector references for inputs, mutable references for outputs, RAII workspace,
// standard lower_bound for LIS. Invalid inputs throw invalid_argument; overflow throws
// overflow_error; allocation failure propagates bad_alloc.
//
// EXAMPLE
// Expected return: 2.
// Run: g++ -std=c++17 -O2 example.cpp -o example && ./example
// Tests for this exact source artifact run before publication. The accompanying source
// archive includes unit cases, runtime results, and source hashes.

static int alg_min(int a, int b) { return a < b ? a : b; }
static int alg_max(int a, int b) { return a > b ? a : b; }
static void alg_require(bool valid) { if (!valid) throw std::invalid_argument("invalid algorithm input"); }
static int alg_checked(int64_t v) { if (v < INT32_MIN || v > INT32_MAX) throw std::overflow_error("32-bit result overflow"); return (int)v; }
static int alg_add(int a,int b) { return alg_checked((int64_t)a+b); }
static int alg_sub(int a,int b) { return alg_checked((int64_t)a-b); }
static int alg_mul(int a,int b) { return alg_checked((int64_t)a*b); }
static size_t alg_size(int n) { alg_require(n>=0 && n<=4000000); return (size_t)n; }

int interpolation_search(const std::vector<int>& a, int target) {
    alg_require(a.size() <= 1000000);
    int n = (int)a.size();
    alg_require(((n >= 0) && (n <= 1000000)));
    alg_require(((int)a.size() == n));
    alg_require((n <= 10000));
    for (int alg_i = 0; alg_i < (int)a.size(); alg_i++) {
        int alg_value = a[alg_i];
        alg_require(((alg_value >= 0) && (alg_value <= 10000)));
    }
    int low = 0;
    int high = alg_sub(n, 1);
    int pos = 0;
    while (((low <= high) && (target >= a[low]) && (target <= a[high]))) {
        if ((a[low] == a[high])) {
            return low;
        }
        pos = alg_add(low, (alg_mul(alg_sub(target, a[low]), alg_sub(high, low)) / alg_sub(a[high], a[low])));
        if ((a[pos] == target)) {
            return pos;
        }
        if ((a[pos] < target)) {
            low = alg_add(pos, 1);
        } else {
            high = alg_sub(pos, 1);
        }
    }
    return alg_sub(0, 1);
}

int main(void) {
    std::vector<int> a = {0, 10, 20, 30};
    int target = 20;
    int result = interpolation_search(a, target);
    printf("%d\n", result);
    return 0;
}

using System;
// Interpolation Search in C#
//
// PURPOSE
// Interpolation search estimates the target position from endpoint values, which can help on
// roughly uniform numeric data.
//
// METHOD
// Estimate a position proportional to the target value between endpoint values. Compare
// there and discard the impossible side. Handle equal endpoints separately.
//
// COMPLEXITY
// Expected O(log log n) comparisons for suitable uniform distributions; O(n) worst case,
// O(1) space.
//
// CONTRACT
// Ascending nonnegative integers <= 10000; n <= 10000 so the interpolation product fits
// signed 32-bit. Returns any matching index or -1.
// Public APIs infer array lengths except in C, which accepts pointer/length pairs. Vertex
// counts and matrix dimensions remain explicit. Arrays must contain signed 32-bit integers.
// Sorted order, correct tree topology, and caller-owned data-structure invariants are
// preconditions; checking them on every query would change query complexity.
// Scalar and shape checks are included. Value-range checks are included where needed to
// prevent invalid indexing or nontermination. Allocation sizes are capped at 4,000,000
// workspace entries. Arithmetic outside Python raises an error on 32-bit overflow; Python
// uses arbitrary precision. Native allocation failures propagate. In-place outputs may be
// partly updated after arithmetic failure. These are single-threaded, in-memory
// implementations.
//
// LANGUAGE DETAILS
// C# / .NET 10: ReadOnlySpan<int> inputs, Span<int> outputs, primitive workspace arrays,
// Array.BinarySearch for LIS, and checked integer arithmetic. Invalid arguments and overflow
// throw exceptions.
//
// EXAMPLE
// Expected return: 2.
// Run: Use Program.cs in a net10.0 console project; dotnet run.
// Tests for this exact source artifact run before publication. The accompanying source
// archive includes unit cases, runtime results, and source hashes.

class Program {
    static void alg_require(bool valid) { if (!valid) throw new ArgumentException("invalid algorithm input"); }
    static int alg_size(int n) { alg_require(n>=0 && n<=4000000); return n; }

    static int interpolation_search(ReadOnlySpan<int> a, int target) {
        checked {
            int n = a.Length;
            alg_require(((n >= 0) && (n <= 1000000)));
            alg_require((a.Length == n));
            alg_require((n <= 10000));
            for (int alg_i = 0; alg_i < a.Length; alg_i++) {
                int alg_value = a[alg_i];
                alg_require(((alg_value >= 0) && (alg_value <= 10000)));
            }
            int low = 0;
            int high = (n - 1);
            int pos = 0;
            while (((low <= high) && (target >= a[low]) && (target <= a[high]))) {
                if ((a[low] == a[high])) {
                    return low;
                }
                pos = (low + (((target - a[low]) * (high - low)) / (a[high] - a[low])));
                if ((a[pos] == target)) {
                    return pos;
                }
                if ((a[pos] < target)) {
                    low = (pos + 1);
                } else {
                    high = (pos - 1);
                }
            }
            return (-1);
        }
    }

    static void Main() {
        int[] a = new int[] {0, 10, 20, 30};
        int target = 20;
        int result = interpolation_search(a, target);
        Console.WriteLine(result);
    }
}

<?php
declare(strict_types=1);
// Interpolation Search in PHP
//
// PURPOSE
// Interpolation search estimates the target position from endpoint values, which can help on
// roughly uniform numeric data.
//
// METHOD
// Estimate a position proportional to the target value between endpoint values. Compare
// there and discard the impossible side. Handle equal endpoints separately.
//
// COMPLEXITY
// Expected O(log log n) comparisons for suitable uniform distributions; O(n) worst case,
// O(1) space.
//
// CONTRACT
// Ascending nonnegative integers <= 10000; n <= 10000 so the interpolation product fits
// signed 32-bit. Returns any matching index or -1.
// Public APIs infer array lengths except in C, which accepts pointer/length pairs. Vertex
// counts and matrix dimensions remain explicit. Arrays must contain signed 32-bit integers.
// Sorted order, correct tree topology, and caller-owned data-structure invariants are
// preconditions; checking them on every query would change query complexity.
// Scalar and shape checks are included. Value-range checks are included where needed to
// prevent invalid indexing or nontermination. Allocation sizes are capped at 4,000,000
// workspace entries. Arithmetic outside Python raises an error on 32-bit overflow; Python
// uses arbitrary precision. Native allocation failures propagate. In-place outputs may be
// partly updated after arithmetic failure. These are single-threaded, in-memory
// implementations.
//
// LANGUAGE DETAILS
// PHP 8.1+ on a 64-bit runtime: packed arrays, strict scalar types, read-only inputs by
// value using copy-on-write, references only for outputs, and checked 32-bit arithmetic.
// Invalid input and overflow throw exceptions. PHP arrays have higher overhead than native
// packed buffers in C/Java.
//
// EXAMPLE
// Expected return: 2.
// Run: php example.php
// Tests for this exact source artifact run before publication. The accompanying source
// archive includes unit cases, runtime results, and source hashes.

function alg_require(bool $valid): void { if (!$valid) throw new InvalidArgumentException("invalid algorithm input"); }
function alg_checked(int|float $v): int { if ($v < -2147483648 || $v > 2147483647 || floor($v) != $v) throw new OverflowException("32-bit result overflow"); return (int)$v; }
function alg_add(int $a,int $b): int { return alg_checked($a+$b); }
function alg_sub(int $a,int $b): int { return alg_checked($a-$b); }
function alg_mul(int $a,int $b): int { return alg_checked($a*$b); }
function alg_size(int $n): int { alg_require($n>=0 && $n<=4000000); return $n; }

function interpolation_search(array $a, int $target): int {
    alg_require(array_is_list($a));
    $n = count($a);
    alg_require((($n >= 0) && ($n <= 1000000)));
    alg_require((count($a) == $n));
    alg_require(($n <= 10000));
    for ($alg_i = 0; $alg_i < count($a); $alg_i++) {
        $alg_value = $a[$alg_i];
        alg_require((($alg_value >= 0) && ($alg_value <= 10000)));
    }
    $low = 0;
    $high = alg_sub($n, 1);
    $pos = 0;
    while ((($low <= $high) && ($target >= $a[$low]) && ($target <= $a[$high]))) {
        if (($a[$low] == $a[$high])) {
            return $low;
        }
        $pos = alg_add($low, intdiv(alg_mul(alg_sub($target, $a[$low]), alg_sub($high, $low)), alg_sub($a[$high], $a[$low])));
        if (($a[$pos] == $target)) {
            return $pos;
        }
        if (($a[$pos] < $target)) {
            $low = alg_add($pos, 1);
        } else {
            $high = alg_sub($pos, 1);
        }
    }
    return alg_sub(0, 1);
}

$a = [0, 10, 20, 30];
$target = 20;
$result = interpolation_search($a, $target);
echo $result, PHP_EOL;

// Exponential Search in Java
//
// PURPOSE
// Exponential search locates a search interval by doubling its size, then uses binary
// search.
//
// METHOD
// Check index zero. Double a bound until it passes the target or the input end, then binary-
// search the bounded interval.
//
// COMPLEXITY
// O(log(p+1)) comparisons for a match near index p; O(log n) worst case, O(1) space.
//
// CONTRACT
// Ascending input; returns any matching index or -1.
// Public APIs infer array lengths except in C, which accepts pointer/length pairs. Vertex
// counts and matrix dimensions remain explicit. Arrays must contain signed 32-bit integers.
// Sorted order, correct tree topology, and caller-owned data-structure invariants are
// preconditions; checking them on every query would change query complexity.
// Scalar and shape checks are included. Value-range checks are included where needed to
// prevent invalid indexing or nontermination. Allocation sizes are capped at 4,000,000
// workspace entries. Arithmetic outside Python raises an error on 32-bit overflow; Python
// uses arbitrary precision. Native allocation failures propagate. In-place outputs may be
// partly updated after arithmetic failure. These are single-threaded, in-memory
// implementations.
//
// LANGUAGE DETAILS
// Java 17+: primitive int arrays, Arrays.binarySearch for LIS, and Math exact arithmetic.
// Invalid input throws IllegalArgumentException; arithmetic overflow throws
// ArithmeticException.
//
// EXAMPLE
// Expected return: 2.
// Run: javac AlgorithmExample.java && java AlgorithmExample
// Tests for this exact source artifact run before publication. The accompanying source
// archive includes unit cases, runtime results, and source hashes.

class AlgorithmExample {
    static void alg_require(boolean valid) { if (!valid) throw new IllegalArgumentException("invalid algorithm input"); }
    static int alg_size(int n) { alg_require(n>=0 && n<=4000000); return n; }

    static int exponential_search(int[] a, int target) {
        java.util.Objects.requireNonNull(a, "a");
        int n = a.length;
        alg_require(((n >= 0) && (n <= 1000000)));
        alg_require((a.length == n));
        if ((n == 0)) {
            return Math.negateExact(1);
        }
        if ((a[0] == target)) {
            return 0;
        }
        int bound = 1;
        while (((bound < n) && (a[bound] < target))) {
            if ((bound > (n / 2))) {
                bound = n;
            } else {
                bound = Math.multiplyExact(bound, 2);
            }
        }
        int low = (bound / 2);
        int high = Math.min(bound, Math.subtractExact(n, 1));
        int mid = 0;
        while ((low <= high)) {
            mid = Math.addExact(low, (Math.subtractExact(high, low) / 2));
            if ((a[mid] == target)) {
                return mid;
            }
            if ((a[mid] < target)) {
                low = Math.addExact(mid, 1);
            } else {
                high = Math.subtractExact(mid, 1);
            }
        }
        return Math.negateExact(1);
    }

    public static void main(String[] args) {
        int[] a = new int[] {1, 3, 5, 7};
        int target = 5;
        int result = exponential_search(a, target);
        System.out.println(result);
    }
}