type t = [ `Object | `SeedSequence ] Obj.tval of_pyobject : Py.Object.t -> tval to_pyobject : [> tag ] Obj.t -> Py.Object.tval create :
?entropy:[ `Sequence_int_ of Py.Object.t | `I of int ] ->
?spawn_key:Py.Object.t ->
?pool_size:Py.Object.t ->
unit ->
tSeedSequence(entropy=None, *, spawn_key=(), pool_size=4)
SeedSequence mixes sources of entropy in a reproducible way to set the initial state for independent and very probably non-overlapping BitGenerators.
Once the SeedSequence is instantiated, you can call the `generate_state` method to get an appropriately sized seed. Calling `spawn(n) <spawn>` will create ``n`` SeedSequences that can be used to seed independent BitGenerators, i.e. for different threads.
Parameters ---------- entropy : None, int, sequence[int], optional The entropy for creating a `SeedSequence`. spawn_key : (), sequence[int], optional A third source of entropy, used internally when calling `SeedSequence.spawn` pool_size : nt, optional Size of the pooled entropy to store. Default is 4 to give a 128-bit entropy pool. 8 (for 256 bits) is another reasonable choice if working with larger PRNGs, but there is very little to be gained by selecting another value. n_children_spawned : nt, optional The number of children already spawned. Only pass this if reconstructing a `SeedSequence` from a serialized form.
Notes -----
Best practice for achieving reproducible bit streams is to use the default ``None`` for the initial entropy, and then use `SeedSequence.entropy` to log/pickle the `entropy` for reproducibility:
>>> sq1 = np.random.SeedSequence() >>> sq1.entropy 243799254704924441050048792905230269161 # random >>> sq2 = np.random.SeedSequence(sq1.entropy) >>> np.all(sq1.generate_state(10) == sq2.generate_state(10)) True
val generate_state :
?dtype:Py.Object.t ->
n_words:int ->
[> tag ] Obj.t ->
Py.Object.tgenerate_state(n_words, dtype=np.uint32)
Return the requested number of words for PRNG seeding.
A BitGenerator should call this method in its constructor with an appropriate `n_words` parameter to properly seed itself.
Parameters ---------- n_words : int dtype : np.uint32 or np.uint64, optional The size of each word. This should only be either `uint32` or `uint64`. Strings (`'uint32'`, `'uint64'`) are fine. Note that requesting `uint64` will draw twice as many bits as `uint32` for the same `n_words`. This is a convenience for `BitGenerator`s that express their states as `uint64` arrays.
Returns ------- state : uint32 or uint64 array, shape=(n_words,)
val spawn : n_children:int -> [> tag ] Obj.t -> Py.Object.tspawn(n_children)
Spawn a number of child `SeedSequence` s by extending the `spawn_key`.
Parameters ---------- n_children : int
Returns ------- seqs : list of `SeedSequence` s
val to_string : t -> stringPrint the object to a human-readable representation.
val show : t -> stringPrint the object to a human-readable representation.
val pp : Format.formatter -> t -> unitPretty-print the object to a formatter.