diff --git a/master/_images/niworkflows-anat-ants-1.png b/master/_images/niworkflows-anat-ants-1.png index 40fe39e2da3..6368abf47a9 100644 Binary files a/master/_images/niworkflows-anat-ants-1.png and b/master/_images/niworkflows-anat-ants-1.png differ diff --git a/master/_images/niworkflows-anat-ants-2.png b/master/_images/niworkflows-anat-ants-2.png index f8019fd8b74..b01932bb059 100644 Binary files a/master/_images/niworkflows-anat-ants-2.png and b/master/_images/niworkflows-anat-ants-2.png differ diff --git a/master/_images/niworkflows-anat-ants-3.png b/master/_images/niworkflows-anat-ants-3.png index 7c24ad19eaa..910623a3c6b 100644 Binary files a/master/_images/niworkflows-anat-ants-3.png and b/master/_images/niworkflows-anat-ants-3.png differ diff --git a/master/_images/niworkflows-anat-coregistration-1.png b/master/_images/niworkflows-anat-coregistration-1.png index 54dba5b4182..9217884f1b9 100644 Binary files a/master/_images/niworkflows-anat-coregistration-1.png and b/master/_images/niworkflows-anat-coregistration-1.png differ diff --git a/master/_images/niworkflows-anat-freesurfer-1.png b/master/_images/niworkflows-anat-freesurfer-1.png index 70e0a569f5d..d815539318f 100644 Binary files a/master/_images/niworkflows-anat-freesurfer-1.png and b/master/_images/niworkflows-anat-freesurfer-1.png differ diff --git a/master/_images/niworkflows-anat-skullstrip-1.png b/master/_images/niworkflows-anat-skullstrip-1.png index 6f513bd034e..2fde4c718f6 100644 Binary files a/master/_images/niworkflows-anat-skullstrip-1.png and b/master/_images/niworkflows-anat-skullstrip-1.png differ diff --git a/master/_images/niworkflows-func-util-1.png b/master/_images/niworkflows-func-util-1.png index 01208ecd9c5..308a7e45243 100644 Binary files a/master/_images/niworkflows-func-util-1.png and b/master/_images/niworkflows-func-util-1.png differ diff --git a/master/_images/niworkflows-func-util-2.png b/master/_images/niworkflows-func-util-2.png index b9abe886da9..ed9d811ba65 100644 Binary files a/master/_images/niworkflows-func-util-2.png and b/master/_images/niworkflows-func-util-2.png differ diff --git a/master/_images/niworkflows-func-util-3.png b/master/_images/niworkflows-func-util-3.png index d3b3b4e8968..664c3b02cbf 100644 Binary files a/master/_images/niworkflows-func-util-3.png and b/master/_images/niworkflows-func-util-3.png differ diff --git a/master/_images/niworkflows-workflows-epi-refmap-1.png b/master/_images/niworkflows-workflows-epi-refmap-1.png index 3d6a5865eec..a9d899c65fa 100644 Binary files a/master/_images/niworkflows-workflows-epi-refmap-1.png and b/master/_images/niworkflows-workflows-epi-refmap-1.png differ diff --git a/master/_modules/niworkflows/interfaces/bids.html b/master/_modules/niworkflows/interfaces/bids.html index e9f40da2150..dc264df63d4 100644 --- a/master/_modules/niworkflows/interfaces/bids.html +++ b/master/_modules/niworkflows/interfaces/bids.html @@ -602,12 +602,13 @@
_require_funcs = True
def __init__(self, *args, **kwargs):
- anat_only = kwargs.pop('anat_only')
+ anat_only = kwargs.pop('anat_only', None)
anat_derivatives = kwargs.pop('anat_derivatives', None)
+ require_t1w = kwargs.pop('require_t1w', True)
super().__init__(*args, **kwargs)
if anat_only is not None:
self._require_funcs = not anat_only
- self._require_t1w = anat_derivatives is None
+ self._require_t1w = require_t1w and anat_derivatives is None
def _run_interface(self, runtime):
bids_dict = self.inputs.subject_data
diff --git a/master/_static/pygments.css b/master/_static/pygments.css
index 02b4b128127..c2e07c71e54 100644
--- a/master/_static/pygments.css
+++ b/master/_static/pygments.css
@@ -106,17 +106,17 @@ body[data-theme="dark"] .highlight .cp { color: #ff3a3a; font-weight: bold } /*
body[data-theme="dark"] .highlight .cpf { color: #ababab; font-style: italic } /* Comment.PreprocFile */
body[data-theme="dark"] .highlight .c1 { color: #ababab; font-style: italic } /* Comment.Single */
body[data-theme="dark"] .highlight .cs { color: #e50808; font-weight: bold; background-color: #520000 } /* Comment.Special */
-body[data-theme="dark"] .highlight .gd { color: #ff3a3a } /* Generic.Deleted */
+body[data-theme="dark"] .highlight .gd { color: #d22323 } /* Generic.Deleted */
body[data-theme="dark"] .highlight .ge { color: #d0d0d0; font-style: italic } /* Generic.Emph */
body[data-theme="dark"] .highlight .ges { color: #d0d0d0; font-weight: bold; font-style: italic } /* Generic.EmphStrong */
-body[data-theme="dark"] .highlight .gr { color: #ff3a3a } /* Generic.Error */
+body[data-theme="dark"] .highlight .gr { color: #d22323 } /* Generic.Error */
body[data-theme="dark"] .highlight .gh { color: #ffffff; font-weight: bold } /* Generic.Heading */
body[data-theme="dark"] .highlight .gi { color: #589819 } /* Generic.Inserted */
body[data-theme="dark"] .highlight .go { color: #cccccc } /* Generic.Output */
body[data-theme="dark"] .highlight .gp { color: #aaaaaa } /* Generic.Prompt */
body[data-theme="dark"] .highlight .gs { color: #d0d0d0; font-weight: bold } /* Generic.Strong */
body[data-theme="dark"] .highlight .gu { color: #ffffff; text-decoration: underline } /* Generic.Subheading */
-body[data-theme="dark"] .highlight .gt { color: #ff3a3a } /* Generic.Traceback */
+body[data-theme="dark"] .highlight .gt { color: #d22323 } /* Generic.Traceback */
body[data-theme="dark"] .highlight .kc { color: #6ebf26; font-weight: bold } /* Keyword.Constant */
body[data-theme="dark"] .highlight .kd { color: #6ebf26; font-weight: bold } /* Keyword.Declaration */
body[data-theme="dark"] .highlight .kn { color: #6ebf26; font-weight: bold } /* Keyword.Namespace */
@@ -192,17 +192,17 @@ body:not([data-theme="light"]) .highlight .cp { color: #ff3a3a; font-weight: bol
body:not([data-theme="light"]) .highlight .cpf { color: #ababab; font-style: italic } /* Comment.PreprocFile */
body:not([data-theme="light"]) .highlight .c1 { color: #ababab; font-style: italic } /* Comment.Single */
body:not([data-theme="light"]) .highlight .cs { color: #e50808; font-weight: bold; background-color: #520000 } /* Comment.Special */
-body:not([data-theme="light"]) .highlight .gd { color: #ff3a3a } /* Generic.Deleted */
+body:not([data-theme="light"]) .highlight .gd { color: #d22323 } /* Generic.Deleted */
body:not([data-theme="light"]) .highlight .ge { color: #d0d0d0; font-style: italic } /* Generic.Emph */
body:not([data-theme="light"]) .highlight .ges { color: #d0d0d0; font-weight: bold; font-style: italic } /* Generic.EmphStrong */
-body:not([data-theme="light"]) .highlight .gr { color: #ff3a3a } /* Generic.Error */
+body:not([data-theme="light"]) .highlight .gr { color: #d22323 } /* Generic.Error */
body:not([data-theme="light"]) .highlight .gh { color: #ffffff; font-weight: bold } /* Generic.Heading */
body:not([data-theme="light"]) .highlight .gi { color: #589819 } /* Generic.Inserted */
body:not([data-theme="light"]) .highlight .go { color: #cccccc } /* Generic.Output */
body:not([data-theme="light"]) .highlight .gp { color: #aaaaaa } /* Generic.Prompt */
body:not([data-theme="light"]) .highlight .gs { color: #d0d0d0; font-weight: bold } /* Generic.Strong */
body:not([data-theme="light"]) .highlight .gu { color: #ffffff; text-decoration: underline } /* Generic.Subheading */
-body:not([data-theme="light"]) .highlight .gt { color: #ff3a3a } /* Generic.Traceback */
+body:not([data-theme="light"]) .highlight .gt { color: #d22323 } /* Generic.Traceback */
body:not([data-theme="light"]) .highlight .kc { color: #6ebf26; font-weight: bold } /* Keyword.Constant */
body:not([data-theme="light"]) .highlight .kd { color: #6ebf26; font-weight: bold } /* Keyword.Declaration */
body:not([data-theme="light"]) .highlight .kn { color: #6ebf26; font-weight: bold } /* Keyword.Namespace */
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index d3b3b4e8968..664c3b02cbf 100644
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diff --git a/master/api/niworkflows-workflows-epi-refmap-1.pdf b/master/api/niworkflows-workflows-epi-refmap-1.pdf
index ceffb18c2b8..ec061537e96 100644
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diff --git a/master/api/niworkflows-workflows-epi-refmap-1.png b/master/api/niworkflows-workflows-epi-refmap-1.png
index 3d6a5865eec..a9d899c65fa 100644
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diff --git a/master/api/niworkflows.data.html b/master/api/niworkflows.data.html
index d595b0cd3d0..46c70368ccb 100644
--- a/master/api/niworkflows.data.html
+++ b/master/api/niworkflows.data.html
@@ -371,7 +371,7 @@
Provide read access to a resource through a Path-like interface.
This file may or may not exist on the filesystem, and may be efficiently used for read operations, including directory traversal.
diff --git a/master/api/niworkflows.interfaces.confounds.html b/master/api/niworkflows.interfaces.confounds.html index 84eaad2b5d8..d0d82544145 100644 --- a/master/api/niworkflows.interfaces.confounds.html +++ b/master/api/niworkflows.interfaces.confounds.html @@ -450,14 +450,14 @@ indicates that the first and second exponential terms should be added. To retain the original terms,1
must be included in the list.
variables (list
of str
) – List of variables for which exponential terms should be computed.
data (DataFrame
) – Table of values of all observations of all variables.
data (DataFrame
) – Table of values of all observations of all variables.
variables_exp (list
) – A list of variables to include in the final data frame after adding
the specified exponential terms.
data_exp (DataFrame
) – Table of values of all observations of all variables, including any
+
data_exp (DataFrame
) – Table of values of all observations of all variables, including any
specified exponential terms.
Temporal derivatives and exponential terms are computed for all terms in the grouping symbols that they adjoin.
-parent_data (DataFrame
) – A tabulation of all values usable in the model formula. Each additive
+
parent_data (DataFrame
) – A tabulation of all values usable in the model formula. Each additive
term in model_formula should correspond either to a variable in this
data frame or to instructions for operating on a variable (for
instance, computing temporal derivatives or exponential terms).
data (DataFrame
) – A tabulation of observations from which spike regressors should be
+
data (DataFrame
) – A tabulation of observations from which spike regressors should be
estimated.
criteria (dict
of (str
, '>'
or '<'
or float
)) – Criteria for generating a spike regressor. If, for a given frame, the
value of the variable corresponding to the key exceeds the threshold
@@ -575,7 +575,7 @@
data – The input DataFrame with a column for each spike regressor.
References
@@ -601,14 +601,14 @@ To retain the original terms,0
must be included in the list.
variables (list
of str
) – List of variables for which temporal derivative terms should be
computed.
data (DataFrame
) – Table of values of all observations of all variables.
data (DataFrame
) – Table of values of all observations of all variables.
variables_deriv (list
) – A list of variables to include in the final data frame after adding
the specified derivative terms.
data_deriv (DataFrame
) – Table of values of all observations of all variables, including any
+
data_deriv (DataFrame
) – Table of values of all observations of all variables, including any
specified derivative terms.
Reorient an image.
New orientation targets can be either another image, or a string representation of the orientation axis.
diff --git a/master/api/niworkflows.utils.spaces.html b/master/api/niworkflows.utils.spaces.html index cc07fe9d67c..f96bee12207 100644 --- a/master/api/niworkflows.utils.spaces.html +++ b/master/api/niworkflows.utils.spaces.html @@ -372,7 +372,7 @@Bases: object
Represent a (non)standard space specification.
Examples
diff --git a/master/api/niworkflows.viz.html b/master/api/niworkflows.viz.html index ab483eeedef..7c4b4152b3d 100644 --- a/master/api/niworkflows.viz.html +++ b/master/api/niworkflows.viz.html @@ -363,7 +363,7 @@sort_rows (str
or False
or None
) – Apply a clustering algorithm to reorganize the rows of the carpet.
""
, False
, and None
skip clustering sorting.
"linkage"
uses linkage hierarchical clustering
-scipy.cluster.hierarchy.linkage
.
+scipy.cluster.hierarchy.linkage
.
Any other value that Python evaluates to True
will use the
default clustering, which is sklearn.cluster.ward_tree
.
sort_rows (str
or False
or None
) – Apply a clustering algorithm to reorganize the rows of the carpet.
""
, False
, and None
skip clustering sorting.
"linkage"
uses linkage hierarchical clustering
-scipy.cluster.hierarchy.linkage
.
+scipy.cluster.hierarchy.linkage
.
Any other value that Python evaluates to True
will use the
default clustering, which is sklearn.cluster.ward_tree
.