tensorplay.distributed.elastic.multiprocessing API

Base class owning a homogeneous group of worker processes.

close(death_sig: Signals | None = None, timeout: int = 30) → None[source]

Terminate all workers with death_sig, escalating to kill.

poll() → RunProcsResult | None[source]

Return the terminal result, or None while workers are running.

start() → None[source]

Launch all workers.

wait(timeout: float = -1, period: float = 1) → RunProcsResult | None[source]

Block until completion (or timeout seconds); returns the result.

Structured failure of one worker process.

Per-stream redirection modes for a worker group.

Outcome of monitoring a worker group to completion.

is_failed() → bool[source]

Whether any worker failed.

Which standard streams a worker’s output should go to.

as_integer_ratio()

Return a pair of integers, whose ratio is equal to the original int.

The ratio is in lowest terms and has a positive denominator.

>>> (10).as_integer_ratio()
(10, 1)
>>> (-10).as_integer_ratio()
(-10, 1)
>>> (0).as_integer_ratio()
(0, 1)

bit_count()

Number of ones in the binary representation of the absolute value of self.

Also known as the population count.

>>> bin(13)
'0b1101'
>>> (13).bit_count()
3

bit_length()

Number of bits necessary to represent self in binary.

>>> bin(37)
'0b100101'
>>> (37).bit_length()
6

conjugate()

Returns self, the complex conjugate of any int.

denominator

the denominator of a rational number in lowest terms

classmethod from_bytes(bytes, byteorder='big', *, signed=False)

classmethod from_str(vm: str) → Std | dict[int, Std][source]

Parse to_map-style strings: 0/1/2/3 or i:j:k.

The per-rank form maps rank i (or default) to a mode; both 0:1 (shorthand for 0:1:1) and full triples are accepted.

imag

the imaginary part of a complex number

is_integer()

Returns True. Exists for duck type compatibility with float.is_integer.

numerator

the numerator of a rational number in lowest terms

real

the real part of a complex number

to_bytes(length=1, byteorder='big', *, signed=False)