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110
README.md
110
README.md
@@ -11,7 +11,7 @@ the standard library. It currently features:
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- [**Vector**](/docs/vector.md): a growable, contiguous array of homogenous generic data types;
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- [**Map**](/docs/map.md): an associative array that handles generic heterogenous data types;
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- [**BigInt**](/docs/bigint.md): a data type for arbitrary large integers.
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- [**BigInt**](/docs/bigint.md): a data type for arbitrary large integers.
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## Usage
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At its simplest, you can use this library as follows:
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@@ -22,63 +22,35 @@ At its simplest, you can use this library as follows:
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#include <stdio.h>
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#include "src/vector.h"
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/*
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* Compile with: gcc main.c src/vector.c
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* Output: First element: 1
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* Head of vector: 16, size is now: 1
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*/
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// Callback functions
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vector_order_t cmp_int_asc(const void *x, const void *y);
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void square(void *element, void *env);
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vector_order_t cmp_asc(const void *a, const void *b);
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int is_even(const void *element, void *env);
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void add(void *accumulator, const void *element, void *env);
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/* Compile with: gcc main.c src/vector.c
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* Output: '2 4'
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*/
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int main(void) {
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// Create an integer vector of initial capacity equal to 5
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vector_t *vec = vector_new(5, sizeof(int)).value.vector;
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vector_t *vec = vector_new(5, sizeof(int)).value.vector; // Create a vector of integers
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// Add some elements
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vector_push(vec, &(int){1}); // Equivalent as below
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int nums[] = {5, 2, 4, 3};
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for (int idx = 0; idx < 4; idx++) { vector_push(vec, &nums[idx]); }
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int nums[] = {5, 4, 1, 2, 3}; // Push some elements
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for (int idx = 0; idx < 5; idx++) { vector_push(vec, &nums[idx]); }
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// Sort array in ascending order: [1, 2, 3, 4, 5]
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vector_sort(vec, cmp_int_asc);
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vector_sort(vec, cmp_asc); // Sort vector
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vector_filter(vec, is_even, NULL); // Filter even elements
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// Print 1st element
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const int first = *(int*)vector_get(vec, 0).value.element;
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printf("First element: %d\n", first);
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for (int idx = 0; idx < 2; idx++) {
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printf("%d ", *(int *)vector_get(vec, idx).value.element);
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}
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putchar('\n');
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int sum = 0;
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vector_map(vec, square, NULL); // Square elements: [1, 2, 3, 4, 5] -> [1, 4, 9, 16, 25]
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vector_filter(vec, is_even, NULL); // Filter even elements: [1, 4, 9, 16, 25] -> [4, 16]
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vector_reduce(vec, &sum, add, NULL); // Sum elements: [4, 16] -> 20
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// Pop second element using LIFO policy
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const int head = *(int*)vector_pop(vec).value.element;
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printf("Head of vector: %d, size is now: %zu\n", head, vector_size(vec));
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// Remove vector from memory
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vector_destroy(vec);
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vector_destroy(vec); // Remove vector from memory
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return 0;
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}
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vector_order_t cmp_int_asc(const void *x, const void *y) {
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int x_int = *(const int*)x;
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int y_int = *(const int*)y;
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vector_order_t cmp_asc(const void *a, const void *b) {
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const int x = *(int *)a, y = *(int *)b;
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if (x_int < y_int) return VECTOR_ORDER_LT;
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if (x_int > y_int) return VECTOR_ORDER_GT;
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return VECTOR_ORDER_EQ;
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}
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void square(void *element, void *env) {
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(void)(env);
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int *value = (int*)element;
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*value = (*value) * (*value);
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if (x < y) return VECTOR_ORDER_LT;
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return (x > y) ? VECTOR_ORDER_GT : VECTOR_ORDER_EQ;
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}
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int is_even(const void *element, void *env) {
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@@ -87,11 +59,6 @@ int is_even(const void *element, void *env) {
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return (value % 2) == 0;
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}
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void add(void *accumulator, const void *element, void *env) {
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(void)(env);
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*(int*)accumulator += *(int*)element;
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}
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```
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### `Map` usage
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@@ -167,6 +134,42 @@ int main(void) {
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}
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```
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<<<<<<< HEAD
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=======
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### `String` usage:
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```c
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#include <stdio.h>
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#include "src/string.h"
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/*
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* Compile with: gcc main.c src/string.c
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* Output: Final string: "Hello,World,😀" Splitted: ["Hello" "World" "😀" ]
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*/
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int main(void) {
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string_t *x = string_new(" Hello, ").value.string;
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string_t *x_trm = string_trim(x).value.string;
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string_t *y = string_new("😀,dlroW").value.string;
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string_t *y_rev = string_reverse(y).value.string;
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string_t *str = string_concat(x_trm, y_rev).value.string;
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string_t **strings = string_split(str, ",").value.split.strings;
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printf("Final string: \"%s\" Splitted: [", str->data);
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for (int idx = 0; idx < 3; idx++) { printf("\"%s\" ", strings[idx]->data); }
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printf("]\n");
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string_split_destroy(strings, 3); string_destroy(str);
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string_destroy(x); string_destroy(y);
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string_destroy(x_trm); string_destroy(y_rev);
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return 0;
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}
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```
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>>>>>>> 7d95b32 (Updated documentation)
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For a more exhaustive example, refer to the `usage.c` file. There, you will find a program with proper error management
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and a sample usage for every available method. To run it, first issue the following command:
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@@ -184,8 +187,7 @@ This will compile the library as well as the `usage.c` file, the unit tests and
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> GNU Multiple Precision Arithmetic Library (GMP).
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## Documentation
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For additional details about this library (internal design, memory
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management, data ownership, etc.) go to the [docs folder](/docs).
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For additional details about this library (internal design, memory management, data ownership, etc.) go to the [docs folder](/docs).
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## Unit tests
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Datum provides some unit tests for `Vector`, `Map` and `BigInt`. To run them, you can issue the following commands:
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@@ -46,7 +46,7 @@ The `BigInt` data structure supports the following methods:
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- `bigint_result_t bigint_destroy(number)`: delete the big number;
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- `bigint_result_t bigint_printf(format, ...)`: `printf` wrapper that introduces the `%B` placeholder to print big numbers. It supports variadic parameters.
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As you can see by the previous function signatures, methods that operate on the
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As you can see from the previous function signatures, methods that operate on the
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`BigInt` data type return a custom type called `bigint_result_t` which is defined as
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follows:
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@@ -80,7 +80,7 @@ by setting the `status` field and by providing a descriptive message on the `mes
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field. If the operation was successful (that is, `status == BIGINT_OK`), you can either
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move on with the rest of the program or read the returned value from the sum data type.
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Of course, you can choose to ignore the return value (if you're brave enough :D) as
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illustrated in the first part of the README.
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illustrated on the first part of the README.
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The sum data type (i.e., the `value` union) defines four different variables. Each
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of them has an unique scope as described below:
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@@ -5,7 +5,7 @@ aspects (internal design, memory layout, etc.) of the `Map` data structure.
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`Map` is an hash table that uses open addressing with linear probing for collision
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resolution and the [FNV-1a algorithm](https://en.wikipedia.org/wiki/Fowler–Noll–Vo_hash_function) as its hashing function. Resizing is performed
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automatically by doubling the capacity when the load factor exceeds 75%. Internally,
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this data structure is represented by the following two structures:
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this data structure is represented by the following two layouts:
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```c
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typedef struct {
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@@ -46,7 +46,7 @@ The `Map` data structure supports the following methods:
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- `size_t map_size(map)`: returns map size (i.e., the number of elements);
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- `size_t map_capacity(map)`: returns map capacity (i.e., map total size).
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As you can see by the previous function signatures, most methods that operate
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As you can see from the previous function signatures, most methods that operate
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on the `Map` data type return a custom type called `map_result_t` which is
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defined as follows:
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@@ -73,4 +73,4 @@ Each method that returns such type indicates whether the operation was successfu
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the `status` field and by providing a descriptive message on the `message` field. If the operation was
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successful (that is, `status == MAP_OK`), you can either move on with the rest of the program or read
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the returned value from the sum data type. Of course, you can choose to ignore the return value (if you're brave enough :D) as illustrated
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in the first part of the README.
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on the first part of the README.
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@@ -5,7 +5,7 @@ aspects (internal design, memory layout, etc.) of the `Vector` data structure.
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`Vector` is a dynamic array with generic data type support; this means that you can store
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any kind of homogenous value on this data structure. Resizing is performed automatically
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by increasing the capacity by 1.5 times when the array becomes full. Internally, this
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data structure is represented by the following structure:
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data structure is represented by the following layout:
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```c
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typedef struct {
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@@ -29,7 +29,7 @@ At the time being, `Vector` supports the following methods:
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- `vector_result_t vector_push(vector, value)`: add a new value to the vector;
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- `vector_result_t vector_set(vector, index, value)`: update the value of a given index if it exists;
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- `vector_result_t vector_get(vector, index)`: return the value indexed by `index` if it exists;
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- `map_result_t vector_sort(map, cmp)`: sort array using `cmp` function;
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- `vector_result_t vector_sort(vector, cmp)`: sort vector using `cmp` function;
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- `vector_result_t vector_pop(vector)`: pop last element from the vector following the LIFO policy;
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- `vector_result_t vector_map(vector, callback, env)`: apply `callback` function to vector (in-place);
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- `vector_result_t vector_filter(vector, callback, env)`: filter vector using `callback` (in-place);
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@@ -39,7 +39,7 @@ At the time being, `Vector` supports the following methods:
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- `size_t vector_size(vector)`: return vector size (i.e., the number of elements);
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- `size_t vector_capacity(vector)`: return vector capacity (i.e., vector total size).
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As you can see by the previous function signatures, most methods that operate
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As you can see from the previous function signatures, most methods that operate
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on the `Vector` data type return a custom type called `vector_result_t` which is
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defined as follows:
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@@ -66,7 +66,7 @@ Each method that returns such type indicates whether the operation was successfu
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by setting the `status` field and by providing a descriptive message on the `message`
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field. If the operation was successful (that is, `status == VECTOR_OK`), you can either
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move on with the rest of the program or read the returned value from the sum data type. Of course, you can choose to
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ignore the return value (if you're brave enough :D) as illustrated in the first part of the README.
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ignore the return value (if you're brave enough :D) as illustrated on the first part of the README.
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## Functional methods
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`Vector` provides three functional methods called `map`, `filter` and `reduce` which allow the caller to apply a computation to the vector,
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@@ -85,14 +85,80 @@ In particular, you should be aware of the following design choices:
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- The `vector_reduce` callback method requires the caller to initialize an _"accumulator"_ variable before calling this method;
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- The `vector_filter` callback method is expected to return non-zero to keep the element and zero to filter it out.
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- The `env` argument is an optional parameter to pass the external environment to the callback function. It is used to mock the behavior of closures, where
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the lexical environment is captured when the closure is created.
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the lexical environment is captured when the closure is created;
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- Callback functions must be self-contained and handle all their resources. Additionally, they are responsible for ensuring their operations
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don't cause any undefined behavior.
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Let's look at an example:
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```c
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#include <stdio.h>
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#include "src/vector.h"
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// Callback functions
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void square(void *element, void *env);
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int is_even(const void *element, void *env);
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void add(void *accumulator, const void *element, void *env);
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int main(void) {
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// Create an integer vector of initial capacity equal to 5
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vector_t *vec = vector_new(5, sizeof(int)).value.vector;
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int nums[] = {1, 2, 3, 4, 5};
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for (int idx = 0; idx < 5; idx++) {
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vector_push(vec, &nums[idx]);
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}
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// Square elements: [1, 2, 3, 4, 5] -> [1, 4, 9, 16, 25]
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vector_map(vec, square, NULL);
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for (int idx = 0; idx < 5; idx++) {
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printf("%d ", *(int *)vector_get(vec, idx).value.element);
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}
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putchar('\n');
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// Filter even elements: [1, 4, 9, 16, 25] -> [4, 16]
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vector_filter(vec, is_even, NULL);
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for (int idx = 0; idx < 2; idx++) {
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printf("%d ", *(int *)vector_get(vec, idx).value.element);
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}
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putchar('\n');
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// Sum elements: [4, 16] -> 20
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int sum = 0;
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vector_reduce(vec, &sum, add, NULL);
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printf("%d\n", sum);
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vector_destroy(vec);
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return 0;
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}
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void square(void *element, void *env) {
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(void)(env);
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int *value = (int*)element;
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*value = (*value) * (*value);
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}
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int is_even(const void *element, void *env) {
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(void)(env);
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int value = *(int*)element;
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return (value % 2) == 0;
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}
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void add(void *accumulator, const void *element, void *env) {
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(void)(env);
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*(int*)accumulator += *(int*)element;
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}
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```
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## Sorting
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As indicated in the [its documentation](/docs/vector.md), the `Vector` data type
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provides an efficient in-place sorting function called `vector_sort` that uses
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a builtin implementation of the [Quicksort algorithm](https://en.wikipedia.org/wiki/Quicksort). This method requires an user-defined comparison procedure which allows the
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caller to customize the sorting behavior. The comparison procedure must adhere to the
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following specification:
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caller to customize the sorting behavior.
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The comparison procedure must adhere to the following specification:
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1. Must return `vector_order_t`, which is defined as follows:
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@@ -107,7 +173,7 @@ typedef enum {
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and indicates the ordering relationship between any two elements.
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2. Must accept two `const void*` parameters representing two elements to compare;
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3. Must be self-contained and handle all its own resources.
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3. Must be self-contained and handle all its resources. Additionally, it's responsible for ensuring its operations don't cause any undefined behavior.
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Let's look at some examples. For instance, let's say that we want to sort an array
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of integers in ascending and descending order:
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@@ -117,8 +183,8 @@ of integers in ascending and descending order:
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#include "src/vector.h"
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vector_order_t cmp_int_asc(const void *x, const void *y) {
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int x_int = *(const int*)x;
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int y_int = *(const int*)y;
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const int x_int = *(const int*)x;
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const int y_int = *(const int*)y;
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if (x_int < y_int) return VECTOR_ORDER_LT;
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if (x_int > y_int) return VECTOR_ORDER_GT;
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2030
src/bigint.c
2030
src/bigint.c
File diff suppressed because it is too large
Load Diff
84
src/map.c
84
src/map.c
@@ -11,10 +11,6 @@
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#include "map.h"
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// Internal methods
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static uint64_t hash_key(const char *key);
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static size_t map_insert_index(const map_t *map, const char *key);
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static size_t map_find_index(const map_t *map, const char *key);
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static map_result_t map_resize(map_t *map);
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/**
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* hash_key
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@@ -22,7 +18,7 @@ static map_result_t map_resize(map_t *map);
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*
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* Returns the digest of @key using the Fowler-Noll-Vo hashing algorithm
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*/
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uint64_t hash_key(const char *key) {
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static uint64_t hash_key(const char *key) {
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uint64_t hash = FNV_OFFSET_BASIS_64;
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while (*key) {
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@@ -33,43 +29,6 @@ uint64_t hash_key(const char *key) {
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return hash;
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}
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/**
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* map_new
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*
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* Returns a map_result_t data type containing a new hash map
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*/
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map_result_t map_new(void) {
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map_result_t result = {0};
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map_t *map = malloc(sizeof(map_t));
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if (map == NULL) {
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result.status = MAP_ERR_ALLOCATE;
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SET_MSG(result, "Failed to allocate memory for map");
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return result;
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}
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map->elements = calloc(INITIAL_CAP, sizeof(map_element_t));
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if (map->elements == NULL) {
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free(map);
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result.status = MAP_ERR_ALLOCATE;
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SET_MSG(result, "Failed to allocate memory for map elements");
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return result;
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}
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// Initialize map
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map->capacity = INITIAL_CAP;
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map->size = 0;
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map->tombstone_count = 0;
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result.status = MAP_OK;
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SET_MSG(result, "Map successfully created");
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result.value.map = map;
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return result;
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}
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/**
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* map_insert_index
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* @map: a non-null map
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@@ -80,7 +39,7 @@ map_result_t map_new(void) {
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*
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* Returns the index of available slot or SIZE_MAX otherwise
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||||
*/
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size_t map_insert_index(const map_t *map, const char *key) {
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static size_t map_insert_index(const map_t *map, const char *key) {
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const uint64_t key_digest = hash_key(key);
|
||||
size_t idx = key_digest % map->capacity;
|
||||
size_t delete_tracker = map->capacity; // Fallback index
|
||||
@@ -113,7 +72,7 @@ size_t map_insert_index(const map_t *map, const char *key) {
|
||||
*
|
||||
* Returns a a map_result_t data type containing the status
|
||||
*/
|
||||
map_result_t map_resize(map_t *map) {
|
||||
static map_result_t map_resize(map_t *map) {
|
||||
map_result_t result = {0};
|
||||
|
||||
const size_t old_capacity = map->capacity;
|
||||
@@ -174,6 +133,43 @@ map_result_t map_resize(map_t *map) {
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* map_new
|
||||
*
|
||||
* Returns a map_result_t data type containing a new hash map
|
||||
*/
|
||||
map_result_t map_new(void) {
|
||||
map_result_t result = {0};
|
||||
|
||||
map_t *map = malloc(sizeof(map_t));
|
||||
if (map == NULL) {
|
||||
result.status = MAP_ERR_ALLOCATE;
|
||||
SET_MSG(result, "Failed to allocate memory for map");
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
map->elements = calloc(INITIAL_CAP, sizeof(map_element_t));
|
||||
if (map->elements == NULL) {
|
||||
free(map);
|
||||
result.status = MAP_ERR_ALLOCATE;
|
||||
SET_MSG(result, "Failed to allocate memory for map elements");
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
// Initialize map
|
||||
map->capacity = INITIAL_CAP;
|
||||
map->size = 0;
|
||||
map->tombstone_count = 0;
|
||||
|
||||
result.status = MAP_OK;
|
||||
SET_MSG(result, "Map successfully created");
|
||||
result.value.map = map;
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* map_add
|
||||
* @map: a non-null map
|
||||
|
||||
216
src/vector.c
216
src/vector.c
@@ -10,10 +10,112 @@
|
||||
#include "vector.h"
|
||||
|
||||
// Internal methods
|
||||
static vector_result_t vector_resize(vector_t *vector);
|
||||
static void swap(void *x, void *y, size_t size);
|
||||
static size_t partition(void *base, size_t low, size_t high, size_t size, vector_cmp_fn cmp);
|
||||
static void quicksort(void *base, size_t low, size_t high, size_t size, vector_cmp_fn cmp);
|
||||
/**
|
||||
* vector_resize
|
||||
* @vector: a non-null vector
|
||||
*
|
||||
* Increases the size of @vector
|
||||
*
|
||||
* Returns a vector_result_t data type containing the status
|
||||
*/
|
||||
static vector_result_t vector_resize(vector_t *vector) {
|
||||
vector_result_t result = {0};
|
||||
|
||||
const size_t old_capacity = vector->capacity;
|
||||
const size_t new_capacity = old_capacity > 0 ? old_capacity * 2 : 1;
|
||||
|
||||
// Check for stack overflow errors
|
||||
if (new_capacity > SIZE_MAX / vector->data_size) {
|
||||
result.status = VECTOR_ERR_OVERFLOW;
|
||||
SET_MSG(result, "Exceeded maximum size while resizing vector");
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
void *new_elements = realloc(vector->elements, new_capacity * vector->data_size);
|
||||
if (new_elements == NULL) {
|
||||
result.status = VECTOR_ERR_ALLOCATE;
|
||||
SET_MSG(result, "Failed to reallocate memory for vector");
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
vector->elements = new_elements;
|
||||
vector->capacity = new_capacity;
|
||||
|
||||
result.status = VECTOR_OK;
|
||||
SET_MSG(result, "Vector successfully resized");
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* swap
|
||||
* @x: first element
|
||||
* @y: second element
|
||||
*
|
||||
* Swaps @x and @y
|
||||
*/
|
||||
static void swap(void *x, void *y, size_t size) {
|
||||
uint8_t temp[size];
|
||||
|
||||
memcpy(temp, x, size);
|
||||
memcpy(x, y, size);
|
||||
memcpy(y, temp, size);
|
||||
}
|
||||
|
||||
/**
|
||||
* partition
|
||||
* @base: the array/partition
|
||||
* @low: lower index
|
||||
* @high: higher index
|
||||
* @size: data size
|
||||
* @cmp: comparison function
|
||||
*
|
||||
* Divides an array into two partitions
|
||||
*
|
||||
* Returns the pivot index
|
||||
*/
|
||||
static size_t partition(void *base, size_t low, size_t high, size_t size, vector_cmp_fn cmp) {
|
||||
uint8_t *arr = (uint8_t*)base;
|
||||
void *pivot = arr + (high * size);
|
||||
size_t i = low;
|
||||
|
||||
for (size_t j = low; j < high; j++) {
|
||||
vector_order_t order = cmp(arr + (j * size), pivot);
|
||||
|
||||
if (order == VECTOR_ORDER_LT || order == VECTOR_ORDER_EQ) {
|
||||
swap(arr + (i * size), arr + (j * size), size);
|
||||
i++;
|
||||
}
|
||||
}
|
||||
|
||||
swap(arr + (i * size), arr + (high * size), size);
|
||||
|
||||
return i;
|
||||
}
|
||||
|
||||
/**
|
||||
* quicksort
|
||||
* @base: the base array/partition
|
||||
* @low: lower index
|
||||
* @high: higher index
|
||||
* @size: data size
|
||||
* @cmp: comparision function
|
||||
*
|
||||
* Recursively sorts an array/partition using the Quicksort algorithm
|
||||
*/
|
||||
static void quicksort(void *base, size_t low, size_t high, size_t size, vector_cmp_fn cmp) {
|
||||
if (low < high) {
|
||||
const size_t pivot = partition(base, low, high, size, cmp);
|
||||
|
||||
if (pivot > 0) {
|
||||
quicksort(base, low, pivot - 1, size, cmp);
|
||||
}
|
||||
quicksort(base, pivot + 1, high, size, cmp);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
/**
|
||||
* vector_new
|
||||
@@ -61,112 +163,6 @@ vector_result_t vector_new(size_t size, size_t data_size) {
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* vector_resize
|
||||
* @vector: a non-null vector
|
||||
*
|
||||
* Increases the size of @vector
|
||||
*
|
||||
* Returns a vector_result_t data type containing the status
|
||||
*/
|
||||
vector_result_t vector_resize(vector_t *vector) {
|
||||
vector_result_t result = {0};
|
||||
|
||||
const size_t old_capacity = vector->capacity;
|
||||
const size_t new_capacity = old_capacity > 0 ? old_capacity * 2 : 1;
|
||||
|
||||
// Check for stack overflow errors
|
||||
if (new_capacity > SIZE_MAX / vector->data_size) {
|
||||
result.status = VECTOR_ERR_OVERFLOW;
|
||||
SET_MSG(result, "Exceeded maximum size while resizing vector");
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
void *new_elements = realloc(vector->elements, new_capacity * vector->data_size);
|
||||
if (new_elements == NULL) {
|
||||
result.status = VECTOR_ERR_ALLOCATE;
|
||||
SET_MSG(result, "Failed to reallocate memory for vector");
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
vector->elements = new_elements;
|
||||
vector->capacity = new_capacity;
|
||||
|
||||
result.status = VECTOR_OK;
|
||||
SET_MSG(result, "Vector successfully resized");
|
||||
|
||||
return result;
|
||||
}
|
||||
|
||||
/**
|
||||
* swap
|
||||
* @x: first element
|
||||
* @y: second element
|
||||
*
|
||||
* Swaps @x and @y
|
||||
*/
|
||||
void swap(void *x, void *y, size_t size) {
|
||||
uint8_t temp[size];
|
||||
|
||||
memcpy(temp, x, size);
|
||||
memcpy(x, y, size);
|
||||
memcpy(y, temp, size);
|
||||
}
|
||||
|
||||
/**
|
||||
* partition
|
||||
* @base: the array/partition
|
||||
* @low: lower index
|
||||
* @high: higher index
|
||||
* @size: data size
|
||||
* @cmp: comparison function
|
||||
*
|
||||
* Divides an array into two partitions
|
||||
*
|
||||
* Returns the pivot index
|
||||
*/
|
||||
size_t partition(void *base, size_t low, size_t high, size_t size, vector_cmp_fn cmp) {
|
||||
uint8_t *arr = (uint8_t*)base;
|
||||
void *pivot = arr + (high * size);
|
||||
size_t i = low;
|
||||
|
||||
for (size_t j = low; j < high; j++) {
|
||||
vector_order_t order = cmp(arr + (j * size), pivot);
|
||||
|
||||
if (order == VECTOR_ORDER_LT || order == VECTOR_ORDER_EQ) {
|
||||
swap(arr + (i * size), arr + (j * size), size);
|
||||
i++;
|
||||
}
|
||||
}
|
||||
|
||||
swap(arr + (i * size), arr + (high * size), size);
|
||||
|
||||
return i;
|
||||
}
|
||||
|
||||
/**
|
||||
* quicksort
|
||||
* @base: the base array/partition
|
||||
* @low: lower index
|
||||
* @high: higher index
|
||||
* @size: data size
|
||||
* @cmp: comparision function
|
||||
*
|
||||
* Recursively sorts an array/partition using the Quicksort algorithm
|
||||
*/
|
||||
void quicksort(void *base, size_t low, size_t high, size_t size, vector_cmp_fn cmp) {
|
||||
if (low < high) {
|
||||
const size_t pivot = partition(base, low, high, size, cmp);
|
||||
|
||||
if (pivot > 0) {
|
||||
quicksort(base, low, pivot - 1, size, cmp);
|
||||
}
|
||||
quicksort(base, pivot + 1, high, size, cmp);
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* vector_push
|
||||
* @vector: a non-null vector
|
||||
|
||||
Reference in New Issue
Block a user