MrBago

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data = "some data"

def aFunction():
    pass

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class BaseInterface:
    """An interface implements a specific processing task. We can use existing
    the interfaces and related machinery in Nipype.
    """
    inputSpec = None
    outputSpec = None

    def run(self, **inputs):
        pass

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"""This is a rough version of a workflow to download data, run bet and compute brain volumes.
"""
import os
import numpy as np
import nibabel as nib

import mintlabs

from traits.api import File, String, Int
from nipype.interfaces.base import (BaseInterfaceInputSpec, TraitedSpec,

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(dp1
S'cerebellum'
p2
cnumpy.core.multiarray
_reconstruct
p3
(cnumpy
ndarray
p4
(I0

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#!/usr/bin/env python
from dipy.reconst.dti import TensorModel
from dipy.data import read_stanford_labels

img, gtab, labels = read_stanford_labels()
data = img.get_data()

mask = labels.get_data() == 1
model = TensorModel(gtab)
fit = model.fit(data, mask)

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import numpy as np
from dipy.reconst import shm
from dipy.data import default_sphere

theta, phi = default_sphere.theta, default_sphere.phi
sh_order = 6
B_dipy, m_dipy, n_dipy = shm.real_sym_sh_basis(sh_order, theta, phi)
B_mrtrix, m_mrtrix, n_mrtrix = shm.real_sym_sh_mrtrix(sh_order, theta, phi)
n_coeff = len(n_dipy)

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from warnings import warn
import numpy as np

from dipy.reconst import shm
from dipy.core.geometry import cart2sphere
from dipy.tracking.local.interpolation import trilinear_interpolate4d

import nibabel as nib

from dipy.data import default_sphere