Utilities and Constants

Helper functions, constants, and enumerations.

These modules provide utility functions, constants, and example models.

Utility Functions (line_solver.utils)

The utils module contains helper functions for working with LINE models.

Mock module that can handle any attribute access

Constants and Enumerations (line_solver.constants)

The constants module defines enumerations and global constants used throughout the LINE Solver package.

Scheduling Strategies

class SchedStrategy(*values)[source]

Bases: Enum

Scheduling strategies for service stations.

Values match lang/base.py SchedStrategy for consistency.

LCFSPI = 3

HOL = 9

LPS = 17

SETF = 18

FCFSPR = 22

EDF = 23

JOIN = 25

EDD = 27

SRPT = 28

SRPTPRIO = 29

LCFSPRIO = 30

LCFSPRPRIO = 31

LCFSPIPRIO = 32

FCFSPRPRIO = 33

FCFSPIPRIO = 34

PSJF = 36

FB = 37

LAS = 38

LRPT = 39

static fromString(obj)[source]

static fromLINEString(sched)[source]

static toID(sched)[source]

class SchedStrategyType(*values)[source]

Bases: Enum

Categories of scheduling strategies by preemption behavior.

Distribution and Process Types

class ProcessType(*values)[source]

Bases: Enum

Types of stochastic processes for arrivals and service times.

static fromString(obj)[source]

Node Types

class NodeType(*values)[source]

Bases: Enum

Types of nodes in queueing network models.

static from_line(obj)[source]

Job Class Types

class JobClassType(*values)[source]

Bases: Enum

Types of job classes in queueing networks.

OPEN: Open class (jobs arrive from outside the system)
CLOSED: Closed class (fixed population circulating in the system)
DISABLED: Disabled class (not currently active)

Routing Strategies

class RoutingStrategy(*values)[source]

Bases: Enum

Strategies for routing jobs between network nodes. Values must match MATLAB’s RoutingStrategy constants for JMT compatibility.

RL = 7

Service Strategies

class ServiceStrategy(*values)[source]

Bases: Enum

Service strategies defining service time dependence.

Solver Types

class SolverType(*values)[source]

Bases: Enum

Types of solvers available in LINE.

DES = 3

Metric Types

class MetricType(*values)[source]

Bases: Enum

Types of performance metrics that can be computed.

SysDropR = 11

SysPower = 13

Tard = 24

SysTard = 25

Drop and Replacement Strategies

class DropStrategy(*values)[source]

Bases: Enum

Strategies for handling queue overflow and capacity limits.

WaitingQueue: Jobs wait in a waiting queue when capacity is exceeded
Drop: Jobs are dropped (lost) when capacity is exceeded
BlockingAfterService: Jobs are blocked after service completion

Join Strategies

class JoinStrategy(*values)[source]

Bases: Enum

Strategies for join node synchronization in fork-join networks.

STD: Standard join (wait for all parallel branches)
PARTIAL: Partial join (proceed when some branches complete)
Quorum: Quorum-based join (wait for minimum number of branches)
Guard: Guard condition join (custom completion criteria)

Layered Network Types

class CallType(*values)[source]

Bases: Enum

Types of calls between tasks in layered networks.

SYNC: Synchronous call (caller waits for response)
ASYNC: Asynchronous call (caller continues immediately)
FWD: Forward call (caller terminates, response goes to caller’s caller)

class ActivityPrecedenceType(*values)[source]

Bases: Enum

Types of activity precedence relationships in layered networks.

These specify how activities are ordered and synchronized: - PRE_SEQ: Sequential prerequisite (must complete before) - PRE_AND: AND prerequisite (all must complete before) - PRE_OR: OR prerequisite (any must complete before) - POST_SEQ: Sequential post-condition - POST_AND: AND post-condition - POST_OR: OR post-condition - POST_LOOP: Loop post-condition - POST_CACHE: Cache post-condition

Polling Types

class PollingType(*values)[source]

Bases: Enum

Polling strategies for polling systems.

static fromString(obj)[source]

Event and Timing Types

class EventType(*values)[source]

Bases: Enum

Types of events in discrete-event simulation.

INIT: Initialization event
LOCAL: Local processing event
ARV: Job arrival event
DEP: Job departure event
PHASE: Phase transition event in multi-phase processes
READ: Cache read event
STAGE: Staging area event

READ = 6

class TimingStrategy(*values)[source]

Bases: Enum

Timing strategies for transitions in Petri nets.

Verbose Level

class VerboseLevel(*values)[source]

Bases: Enum

Verbosity levels for LINE solver output.

Global Constants

class GlobalConstants[source]

Bases: object

Global constants and configuration for the LINE solver.

Immediate = 100000000.0

classmethod getInstance()[source]: Get the singleton instance of GlobalConstants.

classmethod get_instance(): Get the singleton instance of GlobalConstants.

classmethod getVerbose()[source]: Get the current verbosity level.

classmethod get_verbose(): Get the current verbosity level.

classmethod setVerbose(verbosity)[source]: Set the verbosity level for solver output.

classmethod set_verbose(verbosity): Set the verbosity level for solver output.

classmethod getConstants()[source]: Get a dictionary of all global constants.

classmethod get_constants(): Get a dictionary of all global constants.

Example Gallery (line_solver.gallery)

The gallery module provides a collection of example queueing models for validation, testing, and learning purposes.