test_data_generation

Module: tests.utils.data.test_data_generation

Data generation facilities to test algorithms or node chains e.g. in unittests

Inheritance diagram for pySPACE.tests.utils.data.test_data_generation:

Class Summary

DataGenerator([sampling_frequency])	Abstract base class for data generation for different test data patterns
Zero(\*args, \*\*kwargs)	Helper function for data generation that simply returns zero
One(\*args, \*\*kwargs)	Helper function for data generation that simply returns one
Constant(value, \*args, \*\*kwargs)	Helper function for data generation that simply returns one
Counter([start])	Counts the number of calls and returns the value
Channel(num_channels, num_time_pts, \*args, ...)	Generated the number of the actual channel
TimePoint(num_channels, num_time_pts, \*args, ...)	Generated the index of the actual time point
Triangle(width, height, \*args, \*\*kwargs)	Generates a triangle with a given width and height
GaussianNoise([mean, std, seed])	Generates normal distributed noise
Sine([phase, frequency, amplitude, ...])	Generates a sine wave
ChannelDependentSine(\*args, \*\*kwargs)	Generates a sine wave with channel scaled frequency
Cosine([phase, frequency, amplitude, ...])	Generates a cosine wave
ChannelDependentCosine(\*args, \*\*kwargs)	Generates a cosine wave with channel scaled frequency
Delta([k])	Generates a delta impulse, i.e.
ChannelDependentDelta(\*args, \*\*kwargs)	Generates a sine wave with channel scaled frequency
Combiner([generator_list])	Combines several generators
Adder([generator_list])	Combines several signal by adding them together
Multiplier([generator_list])	Combines several signal by adding them together
TestTimeSeriesGenerator	Helper class to generate time series objects e.g.

Classes

DataGenerator

class pySPACE.tests.utils.data.test_data_generation.DataGenerator(sampling_frequency=1.0, *args, **kwargs)

Bases: object

Abstract base class for data generation for different test data patterns

To implement an arbitrary data generation class, subclass from this class and override the method generate() . This can be sine waves, different types of noise, etc.

Class Components Summary

__abstractmethods__
__call__()	Helper function that returns, how often it was called
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()
get_sampling_frequency()
next_channel()	Goes to the next channel
sampling_frequency
set_sampling_frequency(sampling_frequency)

__init__(sampling_frequency=1.0, *args, **kwargs)

set_sampling_frequency(sampling_frequency)

get_sampling_frequency()

sampling_frequency

__metaclass__

alias of ABCMeta

__call__()

Helper function that returns, how often it was called

next_channel()

Goes to the next channel

generate()

__abstractmethods__ = frozenset(['generate'])

__weakref__

list of weak references to the object (if defined)

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Zero

class pySPACE.tests.utils.data.test_data_generation.Zero(*args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Helper function for data generation that simply returns zero

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(*args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

One

class pySPACE.tests.utils.data.test_data_generation.One(*args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Helper function for data generation that simply returns one

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(*args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Constant

class pySPACE.tests.utils.data.test_data_generation.Constant(value, *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Helper function for data generation that simply returns one

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(value, *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Counter

class pySPACE.tests.utils.data.test_data_generation.Counter(start=0, *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Counts the number of calls and returns the value

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(start=0, *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Channel

class pySPACE.tests.utils.data.test_data_generation.Channel(num_channels, num_time_pts, *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Generated the number of the actual channel

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(num_channels, num_time_pts, *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

TimePoint

class pySPACE.tests.utils.data.test_data_generation.TimePoint(num_channels, num_time_pts, *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Generated the index of the actual time point

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(num_channels, num_time_pts, *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Triangle

class pySPACE.tests.utils.data.test_data_generation.Triangle(width, height, *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Generates a triangle with a given width and height

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(width, height, *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

GaussianNoise

class pySPACE.tests.utils.data.test_data_generation.GaussianNoise(mean=0.0, std=1.0, seed=None, *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Generates normal distributed noise

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(mean=0.0, std=1.0, seed=None, *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Sine

class pySPACE.tests.utils.data.test_data_generation.Sine(phase=0.0, frequency=1.0, amplitude=1.0, sampling_frequency=1.0, *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Generates a sine wave

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(phase=0.0, frequency=1.0, amplitude=1.0, sampling_frequency=1.0, *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

ChannelDependentSine

class pySPACE.tests.utils.data.test_data_generation.ChannelDependentSine(*args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.Sine

Generates a sine wave with channel scaled frequency

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
next_channel()	Goes to the next channel

__init__(*args, **kwargs)

next_channel()

Goes to the next channel

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Cosine

class pySPACE.tests.utils.data.test_data_generation.Cosine(phase=0.0, frequency=1.0, amplitude=1.0, sampling_frequency=1.0, *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Generates a cosine wave

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(phase=0.0, frequency=1.0, amplitude=1.0, sampling_frequency=1.0, *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

ChannelDependentCosine

class pySPACE.tests.utils.data.test_data_generation.ChannelDependentCosine(*args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.Sine

Generates a cosine wave with channel scaled frequency

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
next_channel()	Goes to the next channel

__init__(*args, **kwargs)

next_channel()

Goes to the next channel

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Delta

class pySPACE.tests.utils.data.test_data_generation.Delta(k=0, *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.Sine

Generates a delta impulse, i.e. 1 if t==-k, 0 else

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(k=0, *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

ChannelDependentDelta

class pySPACE.tests.utils.data.test_data_generation.ChannelDependentDelta(*args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.Delta

Generates a sine wave with channel scaled frequency

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()
next_channel()	Goes to the next channel

__init__(*args, **kwargs)

next_channel()

Goes to the next channel

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Combiner

class pySPACE.tests.utils.data.test_data_generation.Combiner(generator_list=[], *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.DataGenerator

Combines several generators

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
add_generator(generator)
get_sampling_frequency()
sampling_frequency
set_sampling_frequency(sampling_frequency)

__init__(generator_list=[], *args, **kwargs)

add_generator(generator)

set_sampling_frequency(sampling_frequency)

get_sampling_frequency()

sampling_frequency

__abstractmethods__ = frozenset(['generate'])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Adder

class pySPACE.tests.utils.data.test_data_generation.Adder(generator_list=[], *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.Combiner

Combines several signal by adding them together

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(generator_list=[], *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

Multiplier

class pySPACE.tests.utils.data.test_data_generation.Multiplier(generator_list=[], *args, **kwargs)

Bases: pySPACE.tests.utils.data.test_data_generation.Combiner

Combines several signal by adding them together

Class Components Summary

__abstractmethods__
_abc_cache
_abc_negative_cache
_abc_negative_cache_version
_abc_registry
generate()

__init__(generator_list=[], *args, **kwargs)

generate()

__abstractmethods__ = frozenset([])

_abc_cache = <_weakrefset.WeakSet object>

_abc_negative_cache = <_weakrefset.WeakSet object>

_abc_negative_cache_version = 33

_abc_registry = <_weakrefset.WeakSet object>

TestTimeSeriesGenerator

class pySPACE.tests.utils.data.test_data_generation.TestTimeSeriesGenerator

Bases: object

Helper class to generate time series objects e.g. by DataGenerator classes

Class Components Summary

add_to_test_data(time_series, function)	Function to add an additional signal generated by function to an existing time series
add_to_test_data_single_channel(time_series, ...)
generate_normalized_test_data(channels, ...)	A method which generates a normalized (mu = 0, sigma =1) signal for testing, with
generate_test_data([channels, time_points, ...])	A method which generates a signal for testing, with the specified number of “channels” which are all generated using the given function.
generate_test_data_simple(channels, ...[, ...])	A method which generates a signal by using function for testing, with the specified number of “channels” which are all generated using the given function.
init(\*\*kwargs)

init(**kwargs)

generate_test_data(channels=1, time_points=100, function=<pySPACE.tests.utils.data.test_data_generation.Sine object>, sampling_frequency=1000, channel_order=True, channel_names=None, dtype=<type 'float'>)

A method which generates a signal for testing, with the specified number of “channels” which are all generated using the given function.

Keyword arguments

channels:number of channels time_points:number of time points function:the function used for sample generation sampling_frequency:  the frequency which is used for sampling, e.g. the signal corresponds to a time frame of time_points/sampling frequency channel_names:the names of the channels (alternative to the channels parameter, if not None, it also specifies the number of channels) channel_order:the channel values are computed first, use False for first computation of the row values dtype:data type of the array

generate_test_data_simple(channels, time_points, function, sampling_frequency, initial_phase=0.0)

A method which generates a signal by using function for testing, with the specified number of “channels” which are all generated using the given function.

Keyword arguments

channels:number of channels time_points:number of time points function:the function used for sample generation sampling_frequency:  the frequency which is used for sampling, e.g. the signal corresponds to a time frame of time_points/sampling frequency

add_to_test_data_single_channel(time_series, channel_index, function)

add_to_test_data(time_series, function)

Function to add an additional signal generated by function to an existing time series

Keyword arguments

timeSeries:the time series object function:function to generate signal

generate_normalized_test_data(channels, time_points, function, sampling_frequency, initial_phase=0.0)

A method which generates a normalized (mu = 0, sigma =1) signal for testing, with the specified number of “channels” which are all generated using the given function

__weakref__

list of weak references to the object (if defined)