Package PyDSTool :: Package Toolbox :: Module event_driven_simulator

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Module event_driven_simulator

source code

Classes

[hide private]

connection

node

FIFOqueue_uniquenode
Only one entry per node is allowed.

map

map2D

map1D

delay_map

identity_map

composed_map1D

simulator
Mapping-based, event-driven simulator for dynamical systems reductions.

Functions

[hide private]

extract_digraph(mspec, node_types, connxn_types)
Extract directed graph of connections from a ModelSpec description of a dynamical systems model, using the node and connection types provided.

source code

head(hier_name)

source code

tail(hier_name)

source code

sequences_to_eventlist(seq_dict)
seq_dict maps string symbols to increasing-ordered sequences of times.

source code

Variables

[hide private]

all

predicate_op

less

putmask

shape

complexfloating

DomainType

swapaxes

float32

int32

greater

float96

complex_

ones

integer

API = API_class()

targetLangs = ['c', 'python', 'matlab']

API_class

argmax

sign

Macheps

Continuous = Continuous Domain

intersect

null_predicate = null_predicate_class(None)

complex64

atleast_1d

Discrete = Discrete Domain

float64

float_

less_equal

float

log

sometrue

complex128

alltrue

zeros

ndarray

int_

complex192

int0

int8

argmin

double

norm

finfo

spy

clip

int

logical_or

deepcopy

floating

any

null_predicate_class

sqrt

complex

take

LargestInt32 = 2147483647

fit_function

int16

mat

sys

npy

minpack

types

searchsorted

int64

exp

time

NaN = nan

Inf = inf

isfinite = <ufunc 'isfinite'>

_classes = ['connection', 'node', 'simulator', 'composed_map1D...

_functions = ['extract_digraph']

_instances = ['idmap']

idmap = identity_map()

_all_complex = (<type 'complex'>, <type 'numpy.complexfloating...

_all_float = (<type 'float'>, <type 'numpy.floating'>, <type '...

_all_int = (<type 'int'>, <type 'numpy.integer'>, <type 'numpy...

_all_numpy_complex = (<type 'numpy.complex128'>, <type 'numpy....

_all_numpy_float = (<type 'numpy.float64'>, <type 'numpy.float...

_all_numpy_int = (<type 'numpy.int32'>, <type 'numpy.int32'>, ...

_complex_types = (<type 'complex'>, <type 'numpy.complexfloati...

_float_types = (<type 'float'>, <type 'numpy.floating'>)

_int_types = (<type 'int'>, <type 'numpy.integer'>)

_num_equivtype = {<type 'float'>: <type 'numpy.float64'>, <typ...

_num_maxmin = {<type 'numpy.int32'>: [-2147483648, 2147483647]...

_num_name2equivtypes = {'float': (<type 'float'>, <type 'numpy...

_num_name2type = {'float': <type 'numpy.float64'>, 'int': <typ...

_num_type2name = {<type 'float'>: 'float', <type 'int'>: 'int'...

_num_types = (<type 'float'>, <type 'int'>, <type 'numpy.float...

_pytypefromtype = {<type 'numpy.int32'>: <type 'int'>, <type '...

_real_types = (<type 'int'>, <type 'numpy.integer'>, <type 'fl...

_seq_types = (<type 'list'>, <type 'tuple'>, <type 'numpy.ndar...

Function Details

[hide private]

extract_digraph(mspec, node_types, connxn_types)

source code

Extract directed graph of connections from a ModelSpec description of a dynamical systems model, using the node and connection types provided. The name attributes of those types are used to search the ModelSpec.

sequences_to_eventlist(seq_dict)

source code

seq_dict maps string symbols to increasing-ordered sequences of times. Returns a single list of (symbol, time) pairs ordered by time.

Variables Details

[hide private]

_classes

Value:

['connection',
 'node',
 'simulator',
 'composed_map1D',
 'map',
 'map1D',
 'map2D',
 'identity_map',
...

_all_complex

Value:

(<type 'complex'>,
 <type 'numpy.complexfloating'>,
 <type 'numpy.complex128'>,
 <type 'numpy.complex64'>,
 <type 'numpy.complex128'>)

_all_float

Value:

(<type 'float'>,
 <type 'numpy.floating'>,
 <type 'numpy.float64'>,
 <type 'numpy.float32'>,
 <type 'numpy.float64'>)

_all_int

Value:

(<type 'int'>,
 <type 'numpy.integer'>,
 <type 'numpy.int32'>,
 <type 'numpy.int32'>,
 <type 'numpy.int8'>,
 <type 'numpy.int16'>,
 <type 'numpy.int32'>,
 <type 'numpy.int64'>)

_all_numpy_complex

Value:

(<type 'numpy.complex128'>,
 <type 'numpy.complex64'>,
 <type 'numpy.complex128'>)

_all_numpy_float

Value:

(<type 'numpy.float64'>,
 <type 'numpy.float32'>,
 <type 'numpy.float64'>)

_all_numpy_int

Value:

(<type 'numpy.int32'>,
 <type 'numpy.int32'>,
 <type 'numpy.int8'>,
 <type 'numpy.int16'>,
 <type 'numpy.int32'>,
 <type 'numpy.int64'>)

_complex_types

Value:

(<type 'complex'>, <type 'numpy.complexfloating'>)

_num_equivtype

Value:

{<type 'float'>: <type 'numpy.float64'>,
 <type 'int'>: <type 'numpy.int32'>,
 <type 'numpy.integer'>: <type 'numpy.int32'>,
 <type 'numpy.floating'>: <type 'numpy.float64'>,
 <type 'numpy.int8'>: <type 'numpy.int32'>,
 <type 'numpy.int16'>: <type 'numpy.int32'>,
 <type 'numpy.int32'>: <type 'numpy.int32'>,
 <type 'numpy.int32'>: <type 'numpy.int32'>,
...

_num_maxmin

Value:

{<type 'numpy.int32'>: [-2147483648, 2147483647],
 <type 'numpy.float64'>: [-inf, inf]}

_num_name2equivtypes

Value:

{'float': (<type 'float'>,
           <type 'numpy.floating'>,
           <type 'numpy.float64'>,
           <type 'numpy.float32'>,
           <type 'numpy.float64'>),
 'int': (<type 'int'>,
         <type 'numpy.integer'>,
         <type 'numpy.int32'>,
...

_num_name2type

Value:

{'float': <type 'numpy.float64'>, 'int': <type 'numpy.int32'>}

_num_type2name

Value:

{<type 'float'>: 'float',
 <type 'int'>: 'int',
 <type 'numpy.integer'>: 'int',
 <type 'numpy.floating'>: 'float',
 <type 'numpy.int8'>: 'int',
 <type 'numpy.int16'>: 'int',
 <type 'numpy.int32'>: 'int',
 <type 'numpy.int32'>: 'int',
...

_num_types

Value:

(<type 'float'>,
 <type 'int'>,
 <type 'numpy.floating'>,
 <type 'numpy.integer'>)

_pytypefromtype

Value:

{<type 'numpy.int32'>: <type 'int'>,
 <type 'numpy.float64'>: <type 'float'>}

_real_types

Value:

(<type 'int'>,
 <type 'numpy.integer'>,
 <type 'float'>,
 <type 'numpy.floating'>)

_seq_types

Value:

(<type 'list'>, <type 'tuple'>, <type 'numpy.ndarray'>)