Package topo :: Package pattern :: Module random :: Class RandomGenerator

Class RandomGenerator

                        object --+        
                                 |        
 param.parameterized.Parameterized --+    
                                     |    
base.patterngenerator.PatternGenerator --+
                                         |
                                        RandomGenerator

Known Subclasses:

2D random noise pattern generator abstract class.

Nested Classes

[hide private]

Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods

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_distrib(self, shape, pos)
Method for subclasses to override with a particular random distribution.

source code

__call__(self, **params_to_override)
Call the subclasses 'function' method on a rotated and scaled coordinate system.

source code

Inherited from base.patterngenerator.PatternGenerator: function

Inherited from base.patterngenerator.PatternGenerator (private): _apply_mask

Inherited from param.parameterized.Parameterized: __getstate__, __init__, __repr__, __setstate__, __str__, debug, defaults, force_new_dynamic_value, get_param_values, get_value_generator, inspect_value, message, print_param_values, script_repr, set_dynamic_time_fn, state_pop, state_push, verbose, warning

Inherited from param.parameterized.Parameterized (private): _check_params, _instantiate_param, _set_name, _setup_params

Inherited from object: __delattr__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__

Class Methods

[hide private]

Inherited from param.parameterized.Parameterized: params, print_param_defaults

Class Variables

[hide private]

__abstract = True
bool(x) -> bool

orientation = param.Number(precedence=-1)
Polar angle of pattern, i.e., the orientation in the Cartesian coordinate system, with zero at 3 o'clock and increasing counterclockwise.

random_generator = param.Parameter(default= numpy.random.Rando...
numpy's RandomState provides methods for generating random numbers (see RandomState's help for more information).

Inherited from base.patterngenerator.PatternGenerator: bounds, mask, mask_shape, offset, output_fn, position, scale, size, x, xdensity, y, ydensity

Inherited from param.parameterized.Parameterized: name, print_level

Properties

[hide private]

Inherited from object: __class__

Method Details

[hide private]

call(self, **params_to_override)
(Call operator)

source code

Call the subclasses 'function' method on a rotated and scaled coordinate system.

Creates and fills an array with the requested pattern. If called without any params, uses the values for the Parameters as currently set on the object. Otherwise, any params specified override those currently set on the object.

Overrides: base.patterngenerator.PatternGenerator.__call__: (inherited documentation)

Class Variable Details

[hide private]

__abstract

bool(x) -> bool

Returns True when the argument x is true, False otherwise. The builtins True and False are the only two instances of the class bool. The class bool is a subclass of the class int, and cannot be subclassed.

Value:

True

random_generator

numpy's RandomState provides methods for generating random numbers (see RandomState's help for more information).

Note that all instances will share this RandomState object, and hence its state. To create a RandomGenerator that has its own state, set this parameter to a new RandomState instance.

Value:

param.Parameter(default= numpy.random.RandomState(seed= (500, 500)), precedence=-1
, doc= """
        numpy's RandomState provides methods for generating random
        numbers (see RandomState's help for more information).

        Note that all instances will share this RandomState object,
        and hence its state. To create a RandomGenerator that has its
        own state, set this parameter to a new RandomState instance.
...

Class RandomGenerator

__call__(self, **params_to_override) (Call operator)

__abstract

random_generator

call(self, **params_to_override)
(Call operator)