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All Samples(18)  |  Call(10)  |  Derive(0)  |  Import(8)

src/m/a/mayavi-4.3.1/mayavi/sources/vtk_xml_file_reader.py   mayavi(Download)
from mayavi.core.common import error
from mayavi.core.trait_defs import DEnum
from mayavi.core.pipeline_info import (PipelineInfo,
        get_tvtk_dataset_name)
 
 
            # FIXME: The output info is only based on the first output.
            self.output_info.datasets = [get_tvtk_dataset_name(outputs[0])]
 
            # Change our name on the tree view

src/m/a/mayavi-4.3.1/mayavi/sources/vtk_file_reader.py   mayavi(Download)
 
# Local imports.
from mayavi.core.pipeline_info import (PipelineInfo,
        get_tvtk_dataset_name)
from vtk_xml_file_reader import VTKXMLFileReader
 
            # FIXME: The output info is only based on the first output.
            self.output_info.datasets = [get_tvtk_dataset_name(outputs[0])]
 
            # Change our name on the tree view

src/m/a/mayavi-4.3.1/mayavi/sources/vtk_data_source.py   mayavi(Download)
from mayavi.core.common import handle_children_state
from mayavi.core.trait_defs import DEnum
from mayavi.core.pipeline_info import (PipelineInfo,
        get_tvtk_dataset_name)
from vtk_xml_file_reader import get_all_attributes
 
        self.output_info.datasets = \
                [get_tvtk_dataset_name(self.outputs[0])]
 
        # Add an observer to the VTK dataset after removing the one

src/m/a/mayavi-4.3.1/mayavi/core/filter.py   mayavi(Download)
from mayavi.core.source import Source
from mayavi.core.pipeline_base import PipelineBase
from mayavi.core.pipeline_info import (PipelineInfo,
        get_tvtk_dataset_name)
 
        if len(new_outputs) > 0:
            self.output_info.datasets = \
                [get_tvtk_dataset_name(new_outputs[0])]
        if old_outputs == self.outputs:
            # Even if the outputs don't change we want to propagate a

src/m/a/mayavi-HEAD/mayavi/sources/vtk_xml_file_reader.py   mayavi(Download)
from mayavi.core.file_data_source import FileDataSource
from mayavi.core.trait_defs import DEnum
from mayavi.core.pipeline_info import (PipelineInfo,
        get_tvtk_dataset_name)
 
 
            # FIXME: The output info is only based on the first output.
            self.output_info.datasets = [get_tvtk_dataset_name(outputs[0])]
 
            # Change our name on the tree view

src/m/a/mayavi-HEAD/mayavi/sources/vtk_file_reader.py   mayavi(Download)
 
# Local imports.
from mayavi.core.pipeline_info import (PipelineInfo,
        get_tvtk_dataset_name)
from vtk_xml_file_reader import VTKXMLFileReader
 
            # FIXME: The output info is only based on the first output.
            self.output_info.datasets = [get_tvtk_dataset_name(outputs[0])]
 
            # Change our name on the tree view

src/m/a/mayavi-HEAD/mayavi/sources/vtk_data_source.py   mayavi(Download)
from mayavi.core.common import handle_children_state
from mayavi.core.trait_defs import DEnum
from mayavi.core.pipeline_info import (PipelineInfo,
        get_tvtk_dataset_name)
from vtk_xml_file_reader import get_all_attributes
 
        self.output_info.datasets = \
                [get_tvtk_dataset_name(self.outputs[0])]
 
        # Add an observer to the VTK dataset after removing the one

src/m/a/mayavi-HEAD/mayavi/core/filter.py   mayavi(Download)
from mayavi.core.source import Source
from mayavi.core.pipeline_base import PipelineBase
from mayavi.core.pipeline_info import (PipelineInfo,
        get_tvtk_dataset_name)
 
        if len(new_outputs) > 0:
            self.output_info.datasets = \
                [get_tvtk_dataset_name(new_outputs[0])]
        if old_outputs == self.outputs:
            # Even if the outputs don't change we want to propagate a

src/m/a/mayavi-HEAD/mayavi/tests/test_pipeline_info.py   mayavi(Download)
                  'none'
                  ]
        result = [pipeline_info.get_tvtk_dataset_name(d) for d in datasets]
        self.assertEqual(result, expect)
 

src/m/a/mayavi-4.3.1/mayavi/tests/test_pipeline_info.py   mayavi(Download)
                  'none'
                  ]
        result = [pipeline_info.get_tvtk_dataset_name(d) for d in datasets]
        self.assertEqual(result, expect)