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update dev documentation
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dev/.buildinfo

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: c341bb1d828e1d2c6c6fd2581e1855ca
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config: 287b2656950a7c84b80ff68ec819cbbd
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tags: 645f666f9bcd5a90fca523b33c5a78b7
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dev/_downloads/08388158f9dc9a2077ee7270faad37cf/quick_start.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.8"
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"version": "3.10.13"
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}
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},
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"nbformat": 4,

dev/_downloads/08e89c569d66c995de07925eee8d317a/affine_registration_3d.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.8"
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"version": "3.10.13"
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}
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},
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"nbformat": 4,

dev/_downloads/08f3c82e8199886796450b755e8d801f/combined_workflow_creation.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.12.8"
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"version": "3.10.13"
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}
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},
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"nbformat": 4,

dev/_downloads/0bbbd4aaf59d0c2fd7cabca597df390f/tracking_introduction_eudx_1.py

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from dipy.io.streamline import save_trk
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from dipy.reconst.shm import CsaOdfModel
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from dipy.tracking import utils
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from dipy.tracking.local_tracking import LocalTracking
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from dipy.tracking.stopping_criterion import ThresholdStoppingCriterion
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from dipy.tracking.streamline import Streamlines
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from dipy.tracking.tracker import eudx_tracking
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from dipy.viz import actor, colormap, has_fury, window
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###############################################################################
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seeds = utils.seeds_from_mask(seed_mask, affine, density=[2, 2, 2])
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###############################################################################
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# Finally, we can bring it all together using ``LocalTracking``, using
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# Finally, we can bring it all together using ``eudx_tracking``, using
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# the EuDX algorithm :footcite:p:`Garyfallidis2012b`. ``EuDX`` is a fast
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# algorithm that we use here to generate streamlines. This algorithm is what is
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# used here and the default option when providing the output of peaks directly
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# in LocalTracking.
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# in eudx_tracking.
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# Initialization of LocalTracking. The computation happens in the next step.
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streamlines_generator = LocalTracking(
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csa_peaks, stopping_criterion, seeds, affine=affine, step_size=0.5
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# Initialization of eudx_tracking. The computation happens in the next step.
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streamlines_generator = eudx_tracking(
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seeds, stopping_criterion, affine, step_size=0.5, pam=csa_peaks
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)
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# Generate streamlines object
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streamlines = Streamlines(streamlines_generator)
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dev/_downloads/0bcc855a4961ee08ca7061865e0ae6b6/reconst_sfm.ipynb

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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.13"
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}
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},
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"nbformat": 4,
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