Difference between revisions of "ViSUSpy"

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(Read from IDX file)
(Library imports)
Line 7: Line 7:
 
To import and use the library in your python application you need to use the following imports:
 
To import and use the library in your python application you need to use the following imports:
  
<syntaxhighlight lang="python" line='line'>
+
<source lang="python">
 
   from visuspy import *
 
   from visuspy import *
 
   from VisusKernelPy import *
 
   from VisusKernelPy import *
 
   from VisusIdxPy    import *
 
   from VisusIdxPy    import *
 
   from VisusDbPy    import *
 
   from VisusDbPy    import *
</syntaxhighlight>
+
</source>
  
 
These modules allow the basic interactions with IDX datasets, which can be either local or remote (served by a [[ViSUS Server]]).
 
These modules allow the basic interactions with IDX datasets, which can be either local or remote (served by a [[ViSUS Server]]).

Revision as of 16:38, 9 March 2018

ViSUSpy is a library that allows the user to use the ViSUS framework from python.

In the following sections we provide some examples on how to use it.

Library imports

To import and use the library in your python application you need to use the following imports:

from visuspy import *
  from VisusKernelPy import *
  from VisusIdxPy    import *
  from VisusDbPy     import *

These modules allow the basic interactions with IDX datasets, which can be either local or remote (served by a ViSUS Server).

Important: your code that interacts with IDX datasets has always to attach the IdxModule first, as following:

IdxModule.attach()
  # your program code
  IdxModule.detach()

Write data to an IDX file

IdxModule.attach()

    dataset_box=NdBox(NdPoint(0,0,0),NdPoint.one(16,16,16))
    
    idxfile=IdxFile();
    idxfile.box=NdBox(dataset_box)
    idxfile.fields.push_back(Field("myfield",DType.fromString("uint32")))
    bSaved=idxfile.save(self.filename)
    self.assertTrue(bSaved)
    
    dataset=Dataset.loadDataset(self.filename)
    self.assertIsNotNone(dataset)
    access=dataset.get().createAccess()
    
    sampleid=0
    
    for Z in range(0,16):
      slice_box=dataset.get().getBox().getZSlab(Z,Z+1)
      
      query=QueryPtr(Query(dataset.get(),ord('w')))
      query.get().position=Position(slice_box)
      
      self.assertTrue(dataset.get().beginQuery(query))
      self.assertEqual(query.get().nsamples.innerProduct(),16*16)
      
      buffer=Array(query.get().nsamples,query.get().field.dtype)
      query.get().buffer=buffer
      
      fill=convertToNumPyArray(buffer)
      for Y in range(16):
        for X in range(16):
          fill[Y,X]=sampleid
          sampleid+=1
      success = dataset.get().executeQuery(access,query)

      IdxModule.detach()

Read from IDX file

IdxModule.attach()

    dataset=Dataset_loadDataset(self.filename)
    self.assertIsNotNone(dataset)
    box=dataset.get().getBox()
    field=dataset.get().getDefaultField()
    access=dataset.get().createAccess()
    
    sampleid=0
    for Z in range(0,16):
      slice_box=box.getZSlab(Z,Z+1)
      
      query=QueryPtr(Query(dataset.get(),ord('r')))
      query.get().position=Position(slice_box)
      
      self.assertTrue(dataset.get().beginQuery(query))
      self.assertEqual(query.get().nsamples.innerProduct(),16*16)
      self.assertTrue(dataset.get().executeQuery(access,query))
      
      check=convertToNumPyArray(query.get().buffer)
      for Y in range(16):
        for X in range(16):
          self.assertEqual(check[Y,X],sampleid)
          sampleid+=1

     IdxModule.detach()