pyhrf.test.boldsynthTest module¶

class pyhrf.test.boldsynthTest.FieldFuncsTest(methodName='runTest')¶

Bases: unittest.case.TestCase

test_count_homo_cliques()¶

test_count_homo_cliques1()¶

test_count_homo_cliques2()¶

test_potts_gibbs()¶

test_swendsenwang()¶

class pyhrf.test.boldsynthTest.Mapper1DTest(methodName='runTest')¶

Bases: unittest.case.TestCase

test3D()¶

testIncompleteMapping()¶

testIrregularMapping()¶

pyhrf.test.boldsynthTest.rand(d0, d1, ..., dn)¶

Random values in a given shape.

Create an array of the given shape and populate it with random samples from a uniform distribution over [0, 1).

Parameters:	d1, .., dn (d0,) – The dimensions of the returned array, should all be positive. If no argument is given a single Python float is returned.
Returns:	out – Random values.
Return type:	ndarray, shape `(d0, d1, ..., dn)`

See also

random()

Notes

This is a convenience function. If you want an interface that takes a shape-tuple as the first argument, refer to np.random.random_sample .

Examples

>>> np.random.rand(3,2)
array([[ 0.14022471,  0.96360618],  #random
       [ 0.37601032,  0.25528411],  #random
       [ 0.49313049,  0.94909878]]) #random

pyhrf.test.boldsynthTest.randn(d0, d1, ..., dn)¶

Return a sample (or samples) from the “standard normal” distribution.

If positive, int_like or int-convertible arguments are provided, randn generates an array of shape (d0, d1, ..., dn), filled with random floats sampled from a univariate “normal” (Gaussian) distribution of mean 0 and variance 1 (if any of the $d_i$ are floats, they are first converted to integers by truncation). A single float randomly sampled from the distribution is returned if no argument is provided.

This is a convenience function. If you want an interface that takes a tuple as the first argument, use numpy.random.standard_normal instead.

Parameters:	d1, .., dn (d0,) – The dimensions of the returned array, should be all positive. If no argument is given a single Python float is returned.
Returns:	Z – A `(d0, d1, ..., dn)`-shaped array of floating-point samples from the standard normal distribution, or a single such float if no parameters were supplied.
Return type:	ndarray or float