High-performance SIMD library for Go with AVX/NEON support

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Natural logarithm of 2π.

Maximum double-precision floating-point number.

1/2 times π.

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values.

Square root of 0.5π.

Return a normal number `y` and exponent `exp` satisfying `x = y * 2^exp`.

Calculate the maximum value of a double-precision floating-point strided array.

Calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.

Square root of π.

Set the more significant 32 bits of a double-precision floating-point number.

Split a double-precision floating-point number into a normalized fraction and an integer power of two.

Double-precision floating-point negative infinity.

Create a double-precision floating-point number from a literal bit representation.

Test if a value is an ndarray-like object containing double-precision floating-point numbers.

Evaluate the ramp function for each element in a double-precision floating-point strided array according to a strided mask array.

High word mask for excluding the sign bit of a double-precision floating-point number.

C API for registering a Node-API module exporting a strided array interface for applying a binary callback to double-precision floating-point strided input arrays according to a strided mask array and assigning results to elements in a double-precision floating-point strided output array.

Calculate the sum of double-precision floating-point strided array elements using a second-order iterative Kahan–Babuška algorithm.