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2413 lines (2208 loc) · 86.7 KB
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/* NDArray PHP - Auto-generated C header
* Do not edit manually. Generated by cbindgen.
*/
#ifndef NDARRAY_PHP_H
#define NDARRAY_PHP_H
/* Warning: this file is auto-generated by cbindgen. Do not modify. */
#include <stdarg.h>
#include <stdbool.h>
#include <stdint.h>
#include <stdlib.h>
#define SUCCESS 0
#define ERR_GENERIC 1
#define ERR_SHAPE 2
#define ERR_DTYPE 3
#define ERR_ALLOC 4
#define ERR_PANIC 5
#define ERR_INDEX 6
#define ERR_MATH 7
/**
* Opaque pointer type for FFI.
*
* PHP holds this pointer and passes it back to Rust for operations.
* The actual NDArrayWrapper is stored behind this pointer.
*/
typedef struct NdArrayHandle {
uint8_t _private[0];
} NdArrayHandle;
/**
* Metadata describing a view into an array.
*
* This struct bundles all the metadata needed to describe a view - offset, shape, strides, and ndim.
*/
typedef struct ArrayMetadata {
/**
* Offset into the underlying data buffer (in elements, not bytes)
*/
uintptr_t offset;
/**
* Pointer to shape dimensions array
*/
const uintptr_t *shape;
/**
* Pointer to strides array (in elements, not bytes)
*/
const uintptr_t *strides;
/**
* Number of dimensions
*/
uintptr_t ndim;
} ArrayMetadata;
/**
* Add two arrays.
*/
int32_t ndarray_add(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Add a scalar to an array.
*/
int32_t ndarray_add_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Divide two arrays.
*/
int32_t ndarray_div(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Divide an array by a scalar.
*/
int32_t ndarray_div_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Element-wise maximum with broadcasting.
*/
int32_t ndarray_maximum(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Element-wise minimum with broadcasting.
*/
int32_t ndarray_minimum(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Multiply two arrays.
*/
int32_t ndarray_mul(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Multiply an array by a scalar.
*/
int32_t ndarray_mul_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the remainder of two arrays.
*/
int32_t ndarray_rem(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the remainder of an array by a scalar.
*/
int32_t ndarray_rem_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Subtract two arrays.
*/
int32_t ndarray_sub(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Subtract a scalar from an array.
*/
int32_t ndarray_sub_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Extract the scalar value from a 0-dimensional array or view.
*
* The array must have ndim == 0.
* Writes the value to out_value; the caller must allocate a buffer of at least
* 8 bytes and interpret based on the array's dtype.
*
* For bool: writes 0 or 1 to the first byte.
* For numeric types: writes the native value (up to 8 bytes).
*/
int32_t ndarray_as_scalar(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
void *out_value);
/**
* Create a deep copy of an array view.
*/
int32_t ndarray_copy(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
struct NdArrayHandle **out_handle);
/**
* Create an NDArray from raw data with specified dtype.
*/
int32_t ndarray_create(const void *data,
uintptr_t len,
const uintptr_t *shape,
uintptr_t ndim,
int32_t dtype,
struct NdArrayHandle **out_handle);
/**
* Destroy an NDArray and free its memory.
*/
int32_t ndarray_free(struct NdArrayHandle *handle);
/**
* Get flattened data for an array view with optional offset and length.
*
* # Arguments
* * `handle` - Array handle
* * `meta` - View metadata
* * `start` - Starting element offset (0-indexed)
* * `len` - Number of elements to copy
* * `out_data` - Pointer to output buffer (type depends on array dtype)
* * `out_len` - Output: actual number of elements copied
*/
int32_t ndarray_get_data(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
uintptr_t start,
uintptr_t len,
void *out_data,
uintptr_t *out_len);
/**
* Compute the bitwise AND of two arrays.
*/
int32_t ndarray_bitand(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the bitwise AND of an array and a scalar.
*/
int32_t ndarray_bitand_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the bitwise OR of two arrays.
*/
int32_t ndarray_bitor(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the bitwise OR of an array and a scalar.
*/
int32_t ndarray_bitor_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the bitwise XOR of two arrays.
*/
int32_t ndarray_bitxor(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the bitwise XOR of an array by a scalar.
*/
int32_t ndarray_bitxor_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the left shift of two arrays.
*/
int32_t ndarray_left_shift(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the left shift of an array by a scalar.
*/
int32_t ndarray_left_shift_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute the right shift of two arrays.
*/
int32_t ndarray_right_shift(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Right shift with scalar.
*/
int32_t ndarray_right_shift_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Element-wise equal comparison with broadcasting. Returns Bool array.
*/
int32_t ndarray_eq(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Element-wise equal comparison with scalar. Returns Bool array.
*/
int32_t ndarray_eq_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Element-wise greater-than comparison with broadcasting. Returns Bool array.
*/
int32_t ndarray_gt(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
int32_t ndarray_gt_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Element-wise greater-or-equal comparison with broadcasting. Returns Bool array.
*/
int32_t ndarray_gte(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
int32_t ndarray_gte_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Element-wise less-than comparison with broadcasting. Returns Bool array.
*/
int32_t ndarray_lt(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
int32_t ndarray_lt_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Element-wise less-or-equal comparison with broadcasting. Returns Bool array.
*/
int32_t ndarray_lte(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
int32_t ndarray_lte_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Element-wise not-equal comparison with broadcasting. Returns Bool array.
*/
int32_t ndarray_ne(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const struct NdArrayHandle *b,
const struct ArrayMetadata *b_meta,
struct NdArrayHandle **out,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
int32_t ndarray_ne_scalar(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
const void *scalar,
uint8_t scalar_dtype,
struct NdArrayHandle **out,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* One-dimensional complex FFT along `axis`. Real inputs are promoted to complex.
* `n == 0` keeps the current length along `axis` (optional padding length).
*/
int32_t ndarray_fft(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
int32_t axis,
uintptr_t n,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Inverse complex FFT along `axis`.
*/
int32_t ndarray_ifft(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
int32_t axis,
uintptr_t n,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* N-dimensional complex FFT over `axes` (empty means all axes).
*/
int32_t ndarray_fftn(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const int32_t *axes,
uintptr_t n_axes,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* N-dimensional inverse complex FFT over `axes` (empty means all axes).
*/
int32_t ndarray_ifftn(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const int32_t *axes,
uintptr_t n_axes,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Real DCT along one axis (`dct_type` 1–4).
*/
int32_t ndarray_dct(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
int32_t axis,
uintptr_t n,
uint8_t dct_type,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Inverse DCT along one axis (`dct_type` 1–4, same convention as SciPy `idct`).
*/
int32_t ndarray_idct(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
int32_t axis,
uintptr_t n,
uint8_t dct_type,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* N-dimensional DCT over `axes` (empty = all axes).
*/
int32_t ndarray_dctn(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const int32_t *axes,
uintptr_t n_axes,
uint8_t dct_type,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* N-dimensional inverse DCT over `axes` (empty = all axes).
*/
int32_t ndarray_idctn(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const int32_t *axes,
uintptr_t n_axes,
uint8_t dct_type,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Real-input FFT along `axis`. Output is complex with length `n//2+1` on that axis.
*/
int32_t ndarray_rfft(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
int32_t axis,
uintptr_t n,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Inverse real FFT: complex Hermitian spectrum → real array. `n == 0` infers real length.
*/
int32_t ndarray_irfft(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
int32_t axis,
uintptr_t n,
uint8_t norm,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Create evenly spaced values within a given interval.
*
* For integer types, uses native arithmetic. For float types, manual calculation.
* Returns error if step is zero.
*/
int32_t ndarray_arange(double start,
double stop,
double step,
uint8_t dtype,
struct NdArrayHandle **out_handle);
/**
* Create a 2D identity matrix.
*/
int32_t ndarray_eye(uintptr_t n,
uintptr_t m,
intptr_t k,
uint8_t dtype,
struct NdArrayHandle **out_handle);
/**
* Create an array filled with a specific value.
*/
int32_t ndarray_full(const uintptr_t *shape,
uintptr_t ndim,
const void *value,
uint8_t dtype,
struct NdArrayHandle **out_handle);
/**
* Create numbers spaced geometrically from start to stop.
*
* Only supports Float32 and Float64 dtypes.
* Returns error if start and stop have different signs or if either is zero.
*/
int32_t ndarray_geomspace(double start,
double stop,
uintptr_t num,
uint8_t dtype,
struct NdArrayHandle **out_handle);
/**
* Create evenly spaced numbers over a specified interval.
*
* Only supports Float32 and Float64 dtypes.
* The endpoint parameter controls whether stop is included.
*/
int32_t ndarray_linspace(double start,
double stop,
uintptr_t num,
bool endpoint,
uint8_t dtype,
struct NdArrayHandle **out_handle);
/**
* Create numbers spaced evenly on a log scale.
*
* Only supports Float32 and Float64 dtypes.
* Returns `base.powf(start)` to `base.powf(stop)` with `num` points.
*/
int32_t ndarray_logspace(double start,
double stop,
uintptr_t num,
double base,
uint8_t dtype,
struct NdArrayHandle **out_handle);
/**
* Create an array of random values sampled from N(mean, std).
*
* Supports Float32 and Float64 only.
*/
int32_t ndarray_normal(double mean,
double std,
const uintptr_t *shape,
uintptr_t ndim,
uint8_t dtype,
bool has_seed,
uint64_t seed,
struct NdArrayHandle **out_handle);
/**
* Create an array filled with ones.
*/
int32_t ndarray_ones(const uintptr_t *shape,
uintptr_t ndim,
uint8_t dtype,
struct NdArrayHandle **out_handle);
/**
* Create an array of random values sampled from N(0, 1).
*
* Supports Float32 and Float64 only.
*/
int32_t ndarray_randn(const uintptr_t *shape,
uintptr_t ndim,
uint8_t dtype,
bool has_seed,
uint64_t seed,
struct NdArrayHandle **out_handle);
/**
* Create an array of random values sampled uniformly from [0, 1).
*
* Supports Float32 and Float64 only.
*/
int32_t ndarray_random(const uintptr_t *shape,
uintptr_t ndim,
uint8_t dtype,
bool has_seed,
uint64_t seed,
struct NdArrayHandle **out_handle);
/**
* Create an array of random integers sampled uniformly from [low, high).
*
* Supports signed and unsigned integer dtypes only.
*/
int32_t ndarray_random_int(int64_t low,
int64_t high,
const uintptr_t *shape,
uintptr_t ndim,
uint8_t dtype,
bool has_seed,
uint64_t seed,
struct NdArrayHandle **out_handle);
/**
* Create an array of random values sampled uniformly from [low, high).
*
* Supports Float32 and Float64 only.
*/
int32_t ndarray_uniform(double low,
double high,
const uintptr_t *shape,
uintptr_t ndim,
uint8_t dtype,
bool has_seed,
uint64_t seed,
struct NdArrayHandle **out_handle);
/**
* Create an array filled with zeros.
*/
int32_t ndarray_zeros(const uintptr_t *shape,
uintptr_t ndim,
uint8_t dtype,
struct NdArrayHandle **out_handle);
/**
* Assign values from source view to destination view.
*
* # Arguments
* * `dst` - Destination array handle
* * `dst_meta` - Destination view metadata
* * `src` - Source array handle
* * `src_meta` - Source view metadata
*/
int32_t ndarray_assign(const struct NdArrayHandle *dst,
const struct ArrayMetadata *dst_meta,
const struct NdArrayHandle *src,
const struct ArrayMetadata *src_meta);
/**
* Fill a slice with a value.
*
* # Arguments
* * `handle` - Array handle
* * `meta` - View metadata
* * `value` - Pointer to the fill value (type depends on array dtype)
*/
int32_t ndarray_fill(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const void *value);
/**
* Get an element at the given flat index.
*
* # Arguments
* * `handle` - Array handle
* * `flat_index` - Flat index of the element
* * `out_value` - Pointer to store the value (type depends on array dtype)
*
* The caller must ensure `out_value` points to the correct type for the array's dtype.
*/
int32_t ndarray_get_element(const struct NdArrayHandle *handle,
uintptr_t flat_index,
void *out_value);
/**
* Put values by flattened logical indices.
*/
int32_t ndarray_put(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const struct NdArrayHandle *indices_handle,
const struct ArrayMetadata *indices_meta,
const void *values,
uintptr_t values_len,
double scalar_value,
bool has_scalar,
struct NdArrayHandle **out_handle);
/**
* Scatter values along an axis and return a mutated copy.
*/
int32_t ndarray_put_along_axis(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const struct NdArrayHandle *indices_handle,
const struct ArrayMetadata *indices_meta,
int32_t axis,
const void *values,
uintptr_t values_len,
double scalar_value,
bool has_scalar,
struct NdArrayHandle **out_handle);
/**
* Add updates into flattened indices and return a mutated copy.
*/
int32_t ndarray_scatter_add_flat(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const struct NdArrayHandle *indices_handle,
const struct ArrayMetadata *indices_meta,
const void *updates,
uintptr_t updates_len,
double scalar_update,
bool has_scalar,
struct NdArrayHandle **out_handle);
/**
* Set an element at the given flat index.
*
* # Arguments
* * `handle` - Array handle
* * `flat_index` - Flat index of the element
* * `value` - Pointer to the value (type depends on array dtype)
*
* The caller must ensure `value` points to the correct type for the array's dtype.
*/
int32_t ndarray_set_element(struct NdArrayHandle *handle, uintptr_t flat_index, const void *value);
/**
* Gather values by flattened logical indices.
*/
int32_t ndarray_take(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const struct NdArrayHandle *indices_handle,
const struct ArrayMetadata *indices_meta,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Take slices along an axis.
*
* This selects entire slices along the specified axis according to indices.
*/
int32_t ndarray_take_axis(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const struct NdArrayHandle *indices_handle,
const struct ArrayMetadata *indices_meta,
int32_t axis,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Gather values using per-position indices along a specific axis.
*/
int32_t ndarray_take_along_axis(const struct NdArrayHandle *handle,
const struct ArrayMetadata *meta,
const struct NdArrayHandle *indices_handle,
const struct ArrayMetadata *indices_meta,
int32_t axis,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Select values from x and y depending on condition.
*/
int32_t ndarray_where(const struct NdArrayHandle *cond_handle,
const struct ArrayMetadata *cond_meta,
const struct NdArrayHandle *x_handle,
const struct ArrayMetadata *x_meta,
const struct NdArrayHandle *y_handle,
const struct ArrayMetadata *y_meta,
struct NdArrayHandle **out_handle,
uint8_t *out_dtype_ptr,
uintptr_t *out_ndim,
uintptr_t *out_shape,
uintptr_t max_ndim);
/**
* Compute Cholesky decomposition of a Hermitian positive-definite matrix.
*
* `upper` determines which triangular factor to return:
* - `upper = 0` (false): returns L such that A = L * L^H
* - `upper = 1` (true): returns U such that A = U^H * U
*/
int32_t ndarray_cholesky(const struct NdArrayHandle *a,
const struct ArrayMetadata *a_meta,
uint8_t upper,