Utils¶

Logger¶

class ipctk.LoggerLevel¶

Bases: pybind11_object

Members:

trace

debug

info

warn

error

critical

off

__annotations__ = {}¶

__eq__(self, other: object) → bool¶

__getstate__(self) → int¶

__hash__(self) → int¶

__index__(self) → int¶

__init__(self, value: int)¶

__int__(self) → int¶

__members__ = {'critical': <LoggerLevel.critical: 5>, 'debug': <LoggerLevel.debug: 1>, 'error': <LoggerLevel.error: 4>, 'info': <LoggerLevel.info: 2>, 'off': <LoggerLevel.off: 6>, 'trace': <LoggerLevel.trace: 0>, 'warn': <LoggerLevel.warn: 3>}¶

__module__ = 'ipctk'¶

__ne__(self, other: object) → bool¶

__repr__(self) → str¶

__setstate__(self, state: int) → None¶

__str__()¶

name(self: handle) -> str

critical = <LoggerLevel.critical: 5>¶

debug = <LoggerLevel.debug: 1>¶

error = <LoggerLevel.error: 4>¶

info = <LoggerLevel.info: 2>¶

property name : str¶

off = <LoggerLevel.off: 6>¶

trace = <LoggerLevel.trace: 0>¶

property value : int¶

warn = <LoggerLevel.warn: 3>¶

ipctk.set_logger_level(level: ipctk.LoggerLevel) → None¶

Set log level

Multi-Threading¶

ipctk.get_num_threads() → int¶

get maximum number of threads to use

ipctk.set_num_threads(nthreads: int) → None¶

set maximum number of threads to use

Positive Semi-Definite Projection¶

ipctk.project_to_psd(A: numpy.ndarray[numpy.float64[m, n]]) → numpy.ndarray[numpy.float64[m, n]]¶

Matrix projection onto positive semi-definite cone

Parameters:¶

A: numpy.ndarray[numpy.float64[m, n]]¶

Symmetric matrix to project

Returns:¶

Projected matrix

ipctk.project_to_pd(A: numpy.ndarray[numpy.float64[m, n]], eps: float = 1e-08) → numpy.ndarray[numpy.float64[m, n]]¶

Matrix projection onto positive definite cone

Parameters:¶

A: numpy.ndarray[numpy.float64[m, n]]¶

Symmetric matrix to project

Returns:¶

Projected matrix