Package topo :: Package pattern :: Module basic :: Class DifferenceOfGaussians

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Class DifferenceOfGaussians

source code

Two-dimensional difference of gaussians pattern.

Nested Classes

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Inherited from param.parameterized.Parameterized: __metaclass__

Instance Methods

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function(self, p)
Function to draw a pattern that will then be scaled and rotated.

source code

Inherited from base.patterngenerator.PatternGenerator: __call__

Inherited from base.patterngenerator.PatternGenerator (private): _apply_mask, _create_and_rotate_coordinate_arrays, _setup_xy

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_default, set_dynamic_time_fn, set_param, state_pop, state_push, verbose, warning

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

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

Class Methods

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Inherited from param.parameterized.Parameterized: params, print_param_defaults

Class Variables

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positive_size = param.Number(default= 0.5, bounds= (0.0, None)...
size parameter for the center Gaussian.

positive_aspect_ratio = param.Number(default= 2.0, bounds= (0....
aspect_ratio parameter for the center Gaussian.

positive_x = param.Number(default= 0.0, bounds= (None, None), ...
x position for the central peak of the positive gaussian.

positive_y = param.Number(default= 0.0, bounds= (None, None), ...
y position for the central peak of the positive gaussian.

negative_size = param.Number(default= 1.0, bounds= (0.0, None)...
size parameter for the surround Gaussian.

negative_aspect_ratio = param.Number(default= 2.0, bounds= (0....
aspect_ratio parameter for the surround Gaussian.

negative_x = param.Number(default= 0.0, bounds= (None, None), ...
x position for the central peak of the negative gaussian.

negative_y = param.Number(default= 0.0, bounds= (None, None), ...
y position for the central peak of the negative gaussian.

name = <param.parameterized.String object at 0xb1eac2c>
String identifier for this object.

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

Inherited from param.parameterized.Parameterized: print_level

Properties

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Inherited from object: __class__

Method Details

[hide private]

function(self, p)

source code

Function to draw a pattern that will then be scaled and rotated.

Instead of implementing __call__ directly, PatternGenerator subclasses will typically implement this helper function used by __call__, because that way they can let __call__ handle the scaling and rotation for them. Alternatively, __call__ itself can be reimplemented entirely by a subclass (e.g. if it does not need to do any scaling or rotation), in which case this function will be ignored.

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

Class Variable Details

[hide private]

positive_size

size parameter for the center Gaussian.

Value:

param.Number(default= 0.5, bounds= (0.0, None), softbounds= (0.0, 5.0), precedence
= (1), doc= """size parameter for the center Gaussian.""")

positive_aspect_ratio

aspect_ratio parameter for the center Gaussian.

Value:

param.Number(default= 2.0, bounds= (0.0, None), softbounds= (0.0, 5.0), precedence
= (2), doc= """aspect_ratio parameter for the center Gaussian.""")

positive_x

x position for the central peak of the positive gaussian.

Value:

param.Number(default= 0.0, bounds= (None, None), softbounds= (-2.0, 2.0), preceden
ce= (3), doc= """x position for the central peak of the positive gaussian.""")

positive_y

y position for the central peak of the positive gaussian.

Value:

param.Number(default= 0.0, bounds= (None, None), softbounds= (-2.0, 2.0), preceden
ce= (4), doc= """y position for the central peak of the positive gaussian.""")

negative_size

size parameter for the surround Gaussian.

Value:

param.Number(default= 1.0, bounds= (0.0, None), softbounds= (0.0, 5.0), precedence
= (5), doc= """size parameter for the surround Gaussian.""")

negative_aspect_ratio

aspect_ratio parameter for the surround Gaussian.

Value:

param.Number(default= 2.0, bounds= (0.0, None), softbounds= (0.0, 5.0), precedence
= (6), doc= """aspect_ratio parameter for the surround Gaussian.""")

negative_x

x position for the central peak of the negative gaussian.

Value:

param.Number(default= 0.0, bounds= (None, None), softbounds= (-2.0, 2.0), preceden
ce= (7), doc= """x position for the central peak of the negative gaussian.""")

negative_y

y position for the central peak of the negative gaussian.

Value:

param.Number(default= 0.0, bounds= (None, None), softbounds= (-2.0, 2.0), preceden
ce= (8), doc= """y position for the central peak of the negative gaussian.""")