def __init__(self):
super(_InputTreeFragment, self).__init__()
self.dynamic_name = SimpleStrField(
self,
name='dynamic_name',
label="Parameter configuration name",
doc="""The name of this parameter configuration""")
def __init__(self, prefix='', project_id=None):
super(ABCUploaderForm, self).__init__(prefix, project_id)
self.subject_field = SimpleStrField(
self,
name=DataTypeMetaData.KEY_SUBJECT,
required=True,
label='Subject',
default=DataTypeMetaData.DEFAULT_SUBJECT)
self.temporary_files = []
def __init__(self, project_id=None):
super(StimulusRegionSelectorForm, self).__init__(project_id=project_id)
traited_attr = Attr(StimuliRegionIndex,
label='Load Region Stimulus',
required=False)
self.region_stimulus = TraitDataTypeSelectField(
traited_attr, self, name='existentEntitiesSelect')
self.display_name = SimpleStrField(self,
name='display_name',
label='Display name')
def __init__(self, project_id):
super(StimulusSurfaceSelectorForm, self).__init__()
self.project_id = project_id
self.surface_stimulus = DataTypeSelectField(
StimuliSurfaceIndex,
self,
name='existentEntitiesSelect',
label='Load Surface Stimulus')
self.display_name = SimpleStrField(self,
name='display_name',
label='Display name')
def __init__(self, prefix='', project_id=None):
super(MatrixVisualizerForm, self).__init__(prefix, project_id, False)
self.datatype = DataTypeSelectField(self.get_required_datatype(),
self,
name='datatype',
required=True,
label='Array data type',
conditions=self.get_filters())
self.slice = SimpleStrField(self,
name='slice',
label='slice indices in numpy syntax')
def __init__(self, prefix='', project_id=None):
super(MatTimeSeriesImporterForm, self).__init__(prefix, project_id)
self.data_file = UploadField('.mat',
self,
name='data_file',
required=True,
label='Please select file to import')
self.dataset_name = SimpleStrField(
self,
name='dataset_name',
required=True,
label='Matlab dataset name',
doc='Name of the MATLAB dataset where data is stored')
self.structure_path = SimpleStrField(
self,
name='structure_path',
default='',
label='For nested structures enter the field path (separated by .)'
)
self.transpose = SimpleBoolField(
self,
name='transpose',
default=False,
label='Transpose the array. Expected shape is (time, channel)')
self.slice = SimpleStrField(
self,
name='slice',
default='',
label=
'Slice of the array in numpy syntax. Expected shape is (time, channel)'
)
self.sampling_rate = SimpleIntField(self,
name='sampling_rate',
default=100,
label='sampling rate (Hz)')
self.start_time = SimpleIntField(self,
name='start_time',
default=0,
label='starting time (ms)',
required=True)
def __init__(self, prefix='', project_id=None, label_prefix=''):
super(NetworkxCFFCommonImporterForm, self).__init__(prefix, project_id)
self.key_edge_weight = SimpleStrField(
self,
name='key_edge_weight',
default=NetworkxParser.KEY_EDGE_WEIGHT[0],
label=label_prefix + 'Key Edge Weight')
self.key_edge_tract = SimpleStrField(
self,
name='key_edge_tract',
default=NetworkxParser.KEY_EDGE_TRACT[0],
label=label_prefix + 'Key Edge Tract')
self.key_node_coordinates = SimpleStrField(
self,
name='key_node_coordinates',
default=NetworkxParser.KEY_NODE_COORDINATES[0],
label=label_prefix + 'Key Node Coordinates')
self.key_node_label = SimpleStrField(
self,
name='key_node_label',
default=NetworkxParser.KEY_NODE_LABEL[0],
label=label_prefix + 'Key Node Label')
self.key_node_region = SimpleStrField(
self,
name='key_node_region',
default=NetworkxParser.KEY_NODE_REGION[0],
label=label_prefix + 'Key Node Region')
self.key_node_hemisphere = SimpleStrField(
self,
name='key_node_hemisphere',
default=NetworkxParser.KEY_NODE_HEMISPHERE[0],
label=label_prefix + 'Key Node Hemisphere')
def __init__(self, prefix='', project_id=None):
super(ProjectionMatrixImporterForm, self).__init__(prefix, project_id)
self.projection_file = UploadField('.mat, .npy', self, name='projection_file', required=True,
label='Projection matrix file (.mat or .npy format)',
doc='Expected a file containing projection matrix (one vector of length '
'number of surface vertices nd values in the sensors range).')
self.dataset_name = SimpleStrField(self, name='dataset_name', default=DEFAULT_DATASET_NAME,
label='Matlab dataset name',
doc='Name of the MATLAB dataset where data is stored. '
'Required only for .mat files')
surface_conditions = FilterChain(fields=[FilterChain.datatype + '.surface_type'], operations=['=='],
values=['Cortical Surface'])
self.surface = DataTypeSelectField(SurfaceIndex, self, name='surface', required=True,
conditions=surface_conditions, label='Brain Cortical Surface',
doc='The Brain Surface used by the uploaded projection matrix.')
self.sensors = DataTypeSelectField(SensorsIndex, self, name='sensors', required=True, label='Sensors',
doc='The Sensors used in for current projection.')
def __init__(self, prefix='', project_id=None):
super(VolumeVisualizerForm, self).__init__(prefix, project_id)
self.measure = DataTypeSelectField(self.get_required_datatype(),
self,
name='measure',
required=True,
label='Measure',
doc='A measure to view on anatomy',
conditions=self.get_filters())
self.region_mapping_volume = DataTypeSelectField(
RegionVolumeMappingIndex,
self,
name='region_mapping_volume',
label='Region mapping')
self.data_slice = SimpleStrField(self,
name='data_slice',
label='slice indices in numpy syntax')
def __init__(self, prefix='', project_id=None):
super(ConnectivityMeasureImporterForm,
self).__init__(prefix, project_id)
self.data_file = UploadField(
'.mat',
self,
name='data_file',
required=True,
label='Connectivity measure file (.mat format)')
self.dataset_name = SimpleStrField(
self,
name='dataset_name',
required=True,
default='M',
label='Matlab dataset name',
doc='Name of the MATLAB dataset where data is stored')
self.connectivity = DataTypeSelectField(
ConnectivityIndex,
self,
name='connectivity',
required=True,
label='Large Scale Connectivity',
doc='The Connectivity for which these measurements were made')
