Miscellaneous¶

Probability¶

sdr.Q(x: ArrayLike) → NDArray[float64]

Computes the CCDF of the standard normal distribution \(\mathcal{N}(0, 1)\)..

sdr.Qinv(p: ArrayLike) → NDArray[float64]

Computes the inverse CCDF of the standard normal distribution \(\mathcal{N}(0, 1)\).

sdr.sum_distribution(X, ...) → rv_histogram

Numerically calculates the distribution of the sum of \(n\) i.i.d. random variables \(X_i\).

sdr.sum_distributions(X, ...) → rv_histogram

Numerically calculates the distribution of the sum of two independent random variables \(X\) and \(Y\).

sdr.multiply_distributions(X, ...) → scipy.stats.rv_histogram

Numerically calculates the distribution of the product of two independent random variables \(X\) and \(Y\).

Data manipulation¶

sdr.pack(x: ArrayLike, bpe: int, ...) → NDArray[int_]

Packs a binary array into an array with multiple bits per element.

sdr.unpack(x: ArrayLike, bpe: int, ...) → NDArray[int_]

Unpacks an array with multiple bits per element into a binary array.

sdr.hexdump(data: ArrayLike | bytes, width: int = 16) → str

Returns a hexdump of the specified data.