Package PyDSTool :: Package Toolbox :: Module makeSloppyModel
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Module makeSloppyModel

source code

Classes [hide private]
  sloppyModel
Functions [hide private]
 
makeSloppyModel(modelName, modelDict, targetGen, globalRefs=None, algParams=None, silent=False) source code
Variables [hide private]
  allODEgens = ['Radau_ODEsystem', 'ADMC_ODEsystem', 'Vode_ODEsy...
  ALLOW_THREADS = 1
  Abs = Abs (ModelSpec wrapper)
  Acos = Acos (ModelSpec wrapper)
  Asin = Asin (ModelSpec wrapper)
  Atan = Atan (ModelSpec wrapper)
  Atan2 = Atan2 (ModelSpec wrapper)
  BUFSIZE = 10000
  Betavariate = Betavariate (ModelSpec wrapper)
  CLIP = 0
  Ceil = Ceil (ModelSpec wrapper)
  Choice = Choice (ModelSpec wrapper)
  Cos = Cos (ModelSpec wrapper)
  Cosh = Cosh (ModelSpec wrapper)
  Degrees = Degrees (ModelSpec wrapper)
  E = QuantSpec e (ExpFuncSpec)
  ERR_CALL = 3
  ERR_DEFAULT = 0
  ERR_DEFAULT2 = 2084
  ERR_IGNORE = 0
  ERR_LOG = 5
  ERR_PRINT = 4
  ERR_RAISE = 2
  ERR_WARN = 1
  Exp = Exp (ModelSpec wrapper)
  Expovariate = Expovariate (ModelSpec wrapper)
  FLOATING_POINT_SUPPORT = 1
  FPE_DIVIDEBYZERO = 1
  FPE_INVALID = 8
  FPE_OVERFLOW = 2
  FPE_UNDERFLOW = 4
  Fabs = Fabs (ModelSpec wrapper)
  False_ = False
  Floor = Floor (ModelSpec wrapper)
  Fmod = Fmod (ModelSpec wrapper)
  Frexp = Frexp (ModelSpec wrapper)
  Gammavariate = Gammavariate (ModelSpec wrapper)
  Gauss = Gauss (ModelSpec wrapper)
  Getrandbits = Getrandbits (ModelSpec wrapper)
  Getstate = Getstate (ModelSpec wrapper)
  Hypot = Hypot (ModelSpec wrapper)
  Infinity = inf
  Jumpahead = Jumpahead (ModelSpec wrapper)
  Ldexp = Ldexp (ModelSpec wrapper)
  Log = Log (ModelSpec wrapper)
  Log10 = Log10 (ModelSpec wrapper)
  Lognormvariate = Lognormvariate (ModelSpec wrapper)
  MAXDIMS = 32
  Max = Max (ModelSpec wrapper)
  Min = Min (ModelSpec wrapper)
  Modf = Modf (ModelSpec wrapper)
  NAN = nan
  NINF = -inf
  NZERO = -0.0
  Normalvariate = Normalvariate (ModelSpec wrapper)
  PINF = inf
  PZERO = 0.0
  Paretovariate = Paretovariate (ModelSpec wrapper)
  Pi = QuantSpec pi (ExpFuncSpec)
  Pow = Pow (ModelSpec wrapper)
  RAISE = 2
  Radians = Radians (ModelSpec wrapper)
  Randint = Randint (ModelSpec wrapper)
  Random = Random (ModelSpec wrapper)
  Randrange = Randrange (ModelSpec wrapper)
  SHIFT_DIVIDEBYZERO = 0
  SHIFT_INVALID = 9
  SHIFT_OVERFLOW = 3
  SHIFT_UNDERFLOW = 6
  Sample = Sample (ModelSpec wrapper)
  ScalarType = (<type 'int'>, <type 'float'>, <type 'complex'>, ...
  Seed = Seed (ModelSpec wrapper)
  Setstate = Setstate (ModelSpec wrapper)
  Shuffle = Shuffle (ModelSpec wrapper)
  Sin = Sin (ModelSpec wrapper)
  Sinh = Sinh (ModelSpec wrapper)
  Sqrt = Sqrt (ModelSpec wrapper)
  Sum = Sum (ModelSpec wrapper)
  Systemrandom = Systemrandom (ModelSpec wrapper)
  Tan = Tan (ModelSpec wrapper)
  Tanh = Tanh (ModelSpec wrapper)
  True_ = True
  UFUNC_BUFSIZE_DEFAULT = 10000
  UFUNC_PYVALS_NAME = 'UFUNC_PYVALS'
  Uniform = Uniform (ModelSpec wrapper)
  Vonmisesvariate = Vonmisesvariate (ModelSpec wrapper)
  WRAP = 1
  Weibullvariate = Weibullvariate (ModelSpec wrapper)
  Wichmannhill = Wichmannhill (ModelSpec wrapper)
  absolute = <ufunc 'absolute'>
  add = <ufunc 'add'>
  bitwise_and = <ufunc 'bitwise_and'>
  bitwise_not = <ufunc 'invert'>
  bitwise_or = <ufunc 'bitwise_or'>
  bitwise_xor = <ufunc 'bitwise_xor'>
  c_ = <numpy.lib.index_tricks.CClass object at 0x115c330>
  cast = {<type 'numpy.int64'>: <function <lambda> at 0x6d0c30>,...
  conj = <ufunc 'conjugate'>
  conjugate = <ufunc 'conjugate'>
  copysign = <ufunc 'copysign'>
  deg2rad = <ufunc 'deg2rad'>
  divide = <ufunc 'divide'>
  equal = <ufunc 'equal'>
  exp2 = <ufunc 'exp2'>
  expm1 = <ufunc 'expm1'>
  floor_divide = <ufunc 'floor_divide'>
  fmax = <ufunc 'fmax'>
  fmin = <ufunc 'fmin'>
  greater_equal = <ufunc 'greater_equal'>
  index_exp = <numpy.lib.index_tricks.IndexExpression object at ...
  inf = inf
  infty = inf
  invert = <ufunc 'invert'>
  isinf = <ufunc 'isinf'>
  left_shift = <ufunc 'left_shift'>
  little_endian = True
  log1p = <ufunc 'log1p'>
  logaddexp = <ufunc 'logaddexp'>
  logaddexp2 = <ufunc 'logaddexp2'>
  logical_and = <ufunc 'logical_and'>
  logical_not = <ufunc 'logical_not'>
  logical_xor = <ufunc 'logical_xor'>
  maximum = <ufunc 'maximum'>
  mgrid = <numpy.lib.index_tricks.nd_grid object at 0x1147490>
  minimum = <ufunc 'minimum'>
  multiply = <ufunc 'multiply'>
  n = 9
  nan = nan
  nbytes = {<type 'numpy.int64'>: 8, <type 'numpy.int16'>: 2, <t...
  negative = <ufunc 'negative'>
  newaxis = None
  nextafter = <ufunc 'nextafter'>
  not_equal = <ufunc 'not_equal'>
  ogrid = <numpy.lib.index_tricks.nd_grid object at 0x1147bb0>
  ones_like = <ufunc 'ones_like'>
  r_ = <numpy.lib.index_tricks.RClass object at 0x115c2f0>
  rad2deg = <ufunc 'rad2deg'>
  reciprocal = <ufunc 'reciprocal'>
  remainder = <ufunc 'remainder'>
  right_shift = <ufunc 'right_shift'>
  rint = <ufunc 'rint'>
  s_ = <numpy.lib.index_tricks.IndexExpression object at 0x115c3f0>
  sctypeDict = {0: <type 'numpy.bool_'>, 1: <type 'numpy.int8'>,...
  sctypeNA = {'?': 'Bool', 'B': 'UInt8', 'Bool': <type 'numpy.bo...
  sctypes = {'complex': [<type 'numpy.complex64'>, <type 'numpy....
  signbit = <ufunc 'signbit'>
  spacing = <ufunc 'spacing'>
  square = <ufunc 'square'>
  subtract = <ufunc 'subtract'>
  t = '0'
  true_divide = <ufunc 'true_divide'>
  trunc = <ufunc 'trunc'>
  typeDict = {0: <type 'numpy.bool_'>, 1: <type 'numpy.int8'>, 2...
  typeNA = {'?': 'Bool', 'B': 'UInt8', 'Bool': <type 'numpy.bool...
  typecodes = {'All': '?bhilqpBHILQPfdgFDGSUVOMm', 'AllFloat': '...
Variables Details [hide private]

allODEgens

Value:
['Radau_ODEsystem',
 'ADMC_ODEsystem',
 'Vode_ODEsystem',
 'Euler_ODEsystem',
 'Dopri_ODEsystem']

ScalarType

Value:
(<type 'int'>,
 <type 'float'>,
 <type 'complex'>,
 <type 'long'>,
 <type 'bool'>,
 <type 'str'>,
 <type 'unicode'>,
 <type 'buffer'>,
...

cast

Value:
{<type 'numpy.int64'>: <function <lambda> at 0x6d0c30>, <type 'numpy.i\
nt16'>: <function <lambda> at 0x6d0c70>, <type 'numpy.complex128'>: <f\
unction <lambda> at 0x6d0cb0>, <type 'numpy.uint64'>: <function <lambd\
a> at 0x6d0cf0>, <type 'numpy.complex256'>: <function <lambda> at 0x6d\
0d70>, <type 'numpy.float32'>: <function <lambda> at 0x6d0db0>, <type \
'numpy.bool_'>: <function <lambda> at 0x6d0d30>, <type 'numpy.uint8'>:\
 <function <lambda> at 0x6d0e30>, <type 'numpy.int32'>: <function <lam\
bda> at 0x6d0f30>, <type 'numpy.int8'>: <function <lambda> at 0x6d0df0\
...

index_exp

Value:
<numpy.lib.index_tricks.IndexExpression object at 0x115c3b0>

nbytes

Value:
{<type 'numpy.int64'>: 8, <type 'numpy.int16'>: 2, <type 'numpy.comple\
x128'>: 16, <type 'numpy.uint64'>: 8, <type 'numpy.bool_'>: 1, <type '\
numpy.complex256'>: 32, <type 'numpy.float32'>: 4, <type 'numpy.int8'>\
: 1, <type 'numpy.uint8'>: 1, <type 'numpy.uint16'>: 2, <type 'numpy.o\
bject_'>: 4, <type 'numpy.float64'>: 8, <type 'numpy.int32'>: 4, <type\
 'numpy.string_'>: 0, <type 'numpy.void'>: 0, <type 'numpy.float128'>:\
 16, <type 'numpy.int32'>: 4, <type 'numpy.uint32'>: 4, <type 'numpy.u\
nicode_'>: 0, <type 'numpy.complex64'>: 8, <type 'numpy.uint32'>: 4}

sctypeDict

Value:
{0: <type 'numpy.bool_'>,
 1: <type 'numpy.int8'>,
 2: <type 'numpy.uint8'>,
 3: <type 'numpy.int16'>,
 4: <type 'numpy.uint16'>,
 5: <type 'numpy.int32'>,
 6: <type 'numpy.uint32'>,
 7: <type 'numpy.int32'>,
...

sctypeNA

Value:
{'?': 'Bool',
 'B': 'UInt8',
 'Bool': <type 'numpy.bool_'>,
 'Complex128': <type 'numpy.complex256'>,
 'Complex32': <type 'numpy.complex64'>,
 'Complex64': <type 'numpy.complex128'>,
 'D': 'Complex64',
 'F': 'Complex32',
...

sctypes

Value:
{'complex': [<type 'numpy.complex64'>,
             <type 'numpy.complex128'>,
             <type 'numpy.complex256'>],
 'float': [<type 'numpy.float32'>,
           <type 'numpy.float64'>,
           <type 'numpy.float128'>],
 'int': [<type 'numpy.int8'>,
         <type 'numpy.int16'>,
...

typeDict

Value:
{0: <type 'numpy.bool_'>,
 1: <type 'numpy.int8'>,
 2: <type 'numpy.uint8'>,
 3: <type 'numpy.int16'>,
 4: <type 'numpy.uint16'>,
 5: <type 'numpy.int32'>,
 6: <type 'numpy.uint32'>,
 7: <type 'numpy.int32'>,
...

typeNA

Value:
{'?': 'Bool',
 'B': 'UInt8',
 'Bool': <type 'numpy.bool_'>,
 'Complex128': <type 'numpy.complex256'>,
 'Complex32': <type 'numpy.complex64'>,
 'Complex64': <type 'numpy.complex128'>,
 'D': 'Complex64',
 'F': 'Complex32',
...

typecodes

Value:
{'All': '?bhilqpBHILQPfdgFDGSUVOMm',
 'AllFloat': 'fdgFDG',
 'AllInteger': 'bBhHiIlLqQpP',
 'Character': 'c',
 'Complex': 'FDG',
 'Datetime': 'Mm',
 'Float': 'fdg',
 'Integer': 'bhilqp',
...