helpers
¶
Functions:
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Recursive calls to elements of tuples, lists, dicts, set, and frozensets. |
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Apply |
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Matrix multiplication of last 2 dimensions for two 4-dimensional input matrices. |
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Binary search algorithm for sorted array. |
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Multiple gauss functions with width |
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udkm1Dsim.helpers.
make_hash_md5
(obj)¶ - Parameters
obj (any) – anything that can be hashed.
- Returns
hash (str) – hash from object.
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udkm1Dsim.helpers.
make_hashable
(obj)¶ Recursive calls to elements of tuples, lists, dicts, set, and frozensets.
- Parameters
obj (any) – anything that can be hashed..
- Returns
obj (tuple) – hashable object.
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udkm1Dsim.helpers.
m_power_x
(m, x)¶ Apply
numpy.linalg.matrix_power
to last 2 dimensions of 4-dimensional input matrix.- Parameters
m (ndarray[float, complex]) – 4-dimensional input matrix.
x (float) – exponent.
- Returns
m (ndarray[float, complex]) – resulting matrix.
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udkm1Dsim.helpers.
m_times_n
(m, n)¶ Matrix multiplication of last 2 dimensions for two 4-dimensional input matrices.
- Parameters
m (ndarray[float, complex]) – 4-dimensional input matrix.
n (ndarray[float, complex]) – 4-dimensional input matrix.
- Returns
res (ndarray[float, complex]) – 4-dimensional multiplication result.
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udkm1Dsim.helpers.
finderb
(key, array)¶ Binary search algorithm for sorted array. Searches for the first index
i
of array wherekey
>=array[i]
.key
can be a scalar or a np.ndarray of keys.array
must be a sorted np.ndarray.Author: André Bojahr. Licence: BSD.
- Parameters
key (float, ndarray[float]) – single or multiple sorted keys.
array (ndarray[float]) – sorted array.
- Returns
i (ndarray[float]) – position indices for each key in the array.
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udkm1Dsim.helpers.
multi_gauss
(x, s=[1], x0=[0], A=[1])¶ Multiple gauss functions with width
s
given as FWHM and area normalized to inputA
and maximum of gauss atx0
.- Parameters
x (ndarray[float]) – argument of multi_gauss.
s (ndarray[float], optional) – FWHM of Gaussians. Defaults to 1.
x0 (ndarray[float], optional) – centers of Gaussians. Defaults to 0.
A (ndarray[float], optional) – amplitudes of Gaussians. Defaults to 1.
- Returns
y (ndarray[float]) – multiple Gaussians.