NUMPY_API * Gets the array of strides for the specified axis. * If the iterator is tracking a multi-index, gets the strides * for the axis specifie

NUMPY_API * Gets the size of the buffer, or 0 if buffering is not enabled */

NUMPY_API * Get the array of data pointers (1 per object being iterated), * directly into the arrays (never pointing to a buffer), for starting * u

NUMPY_API * Whether the inner loop can grow if buffering is unneeded */

NUMPY_API * Whether the iteration could be done with no buffering. */

* This is a renamed copy of the Python non-limited API function _PyLong_AsInt. It is * included here because it is missing from the PyPy API. It comp

* NumPyOS_ascii_ftolf: * * fp: FILE pointer * * value: Place to store the value read * * Similar to PyOS_ascii_strtod, except that it re

* All data is assumed aligned. */

* Advance to the next neighbour */

NUMPY_API * All */

NUMPY_API Arange, */

NUMPY_API * ArgMax */

NUMPY_API * ArgMin */

NUMPY_API * Convert to a 1D C-array */

NUMPY_API * Convert to a 2D C-array */

NUMPY_API * Simulate a C-array * steals a reference to typedescr -- can be NULL */

NUMPY_API * Get axis from an object (possibly None) -- a converter function, * * See also PyArray_ConvertMultiAxis, which also handles a tuple of a

NUMPY_API * Get buffer chunk from object * * this function takes a Python object which exposes the (single-segment) * buffer interface and returns

NUMPY_API * Convert object to endian */

NUMPY_API * See if array scalars can be cast. * * TODO: For NumPy 2.0, add a NPY_CASTING parameter. */

NUMPY_API * * Determines whether the data type 'thistype', with * scalar kind 'scalar', can be coerced into 'neededtype'. */

NUMPY_API * Cast to an already created array. Arrays don't have to be "broadcastable" * Only requirement is they have the same number of elements.

NUMPY_API * Cast Scalar to c-type */

NUMPY_API * Cast Scalar to c-type * * The output buffer must be large-enough to receive the value * Even for flexible types which is different fr

NUMPY_API * Cast to an already created array. */

* Promotion of descriptors (of arbitrary DType) to their correctly * promoted instances of the given DType. * I.e. the given DType could be a string

NUMPY_API * Clip */

NUMPY_API */

NUMPY_API */

NUMPY_API * Concatenate * * Concatenate an arbitrary Python sequence into an array. * op is a python object supporting the sequence interface. *

NUMPY_API * * Useful to pass as converter function for O& processing in PyArgs_ParseTuple. * * This conversion function can be used with the "O&"

* Convert an object to NPY_VALID / NPY_SAME / NPY_FULL */

* Converter function filling in an npy_dtype_info struct on success. It * accepts `None` and does nothing in that case (user must initialize to * N

NUMPY_API * Create a datetime value from a filled datetime struct and resolution unit. * * TO BE REMOVED - NOT USED INTERNALLY. */

NUMPY_API * Fill the datetime struct from the value and resolution unit. * * TO BE REMOVED - NOT USED INTERNALLY. */

NUMPY_API * Prints the raw data of the ndarray in a form useful for debugging * low-level C issues. */

NUMPY_API * * Get type-descriptor from an object forcing alignment if possible * None goes to NULL. */

* Note: This function never fails, but will return `NULL` for unknown scalars * and `None` for known array-likes (e.g. tuple, list, ndarray).

NUMPY_API*/

NUMPY_API*/

NUMPY_API * Return the tuple of ordered field names from a dictionary. */

NUMPY_API * Free pointers created if As2D is called */

NUMPY_API */

NUMPY_API Deprecated, use PyArray_SimpleNew instead. */

NUMPY_API Deprecated, use PyArray_NewFromDescr instead. */

NUMPY_API*/

NUMPY_API * Returns the built-in (at compilation time) C API version */

NUMPY_API Get dictionary showing number functions that all arrays will use */

NUMPY_API * Produce a pointer into array */

* Converts a Python input into a non-normalized list of holidays. * * IMPORTANT: This function can't do the normalization, because it doesn't *

Used for arrays of python objects to increment the reference count of */ every python object in the array. */ NUMPY_API For object arrays, increment

NUMPY_API * * Use advanced indexing to iterate an array. */

NUMPY_API * Numeric.matrixproduct(a,v) * just like inner product but does the swapaxes stuff on the fly */

NUMPY_API * Multiply a List of ints */

* fill and x->ao should have equivalent types */ NUMPY_API * A Neighborhood Iterator object. */

NUMPY_API * Prod */

NUMPY_API * Ptp */

NUMPY_API * Register a type number indicating that a descriptor can be cast * to it safely */

NUMPY_API Register Casting Function Replaces any function currently stored. */

NUMPY_API * Adjusts previously broadcasted iterators so that the axis with * the smallest sum of iterator strides is not iterated over. * Returns d

NUMPY_API * Convert to c-type * * no error checking is performed -- ctypeptr must be same type as scalar * in case of flexible type, the data is n

NUMPY_API * Get an Array Scalar From a Python Object * * Returns NULL if unsuccessful but error is only set if another error occurred. * Currently

NUMPY_API * Convert object to searchsorted side */

NUMPY_API * Convert object to select kind */

NUMPY_API * This function is scheduled to be removed * * TO BE REMOVED - NOT USED INTERNALLY. */

NUMPY_API */

NUMPY_API * Convert object to sort kind */

NUMPY_API * Set variance to 1 to by-pass square-root calculation and return variance * Std */

NUMPY_API *Sum */

NUMPY_API * Create a timedelta value from a filled timedelta struct and resolution unit. * * TO BE REMOVED - NOT USED INTERNALLY. */

NUMPY_API * Fill the timedelta struct from the timedelta value and resolution unit. * * TO BE REMOVED - NOT USED INTERNALLY. */

NUMPY_API */

NUMPY_API * Get a typeobject from a type-number -- can return NULL. * * New reference */