Test if an input value is a supported ndarray boolean index data type.
Resolve the data type that results from applying promotion rules to a provided list of data types.
Test if an input value is a supported ndarray output data type policy.
Expand the shape of an array to a specified dimensionality by spreading its dimensions to specified dimension indices and inserting dimensions of size one for the remaining dimensions.
Resolve a list of data type strings.
Tokenize a string into an array of string parts and format identifier objects.
Create a double-precision floating-point number from a higher order word and a lower order word.
Test if an input value is a supported ndarray struct data type.
Test if a double-precision floating-point numeric value is NaN.
Split a double-precision floating-point number into a higher order word and a lower order word.
Resolve the output ndarray data type for a binary function.
Test if a double-precision floating-point numeric value is infinite.
Reads the pixels of an image as an ndarray
Return an integer corresponding to the unbiased exponent of a double-precision floating-point number.
Multiply a double-precision floating-point number by an integer power of two.
Apply a binary callback to elements in input ndarrays and assign results to elements in an output ndarray.
Convert a double-precision floating-point number to the nearest single-precision floating-point number.
Apply a nullary callback and assign results to elements in a strided output array.
Test if a value is ndarray-like.
Compute the absolute value of a double-precision floating-point number.
Resolve a loop block size for multi-dimensional array tiled loops.
Return an unsigned 32-bit integer corresponding to the more significant 32 bits of a double-precision floating-point number.
Return a double-precision floating-point number with the magnitude of x and the sign of y.
Return the data type of an ndarray data buffer.