finesse.solutions.array.ArraySolution¶
Overview
- class finesse.solutions.array.ArraySolution(name, parent, shape, xs, params)¶
- Bases: - BaseSolution- Holds outputs from running a simulation. - This is essentially a wrapped up Numpy structured array whose named elements are the names of outputs in a model. - Detectors are stored in the array by their name. So you can use: - output['detector_name'] - or, if the key has an attribute called name (as all Finesse.detectors do) it will use that, so using: - output[ifo.detector] - will return the same values. - The underlying storage format is a Numpy structured array. You can select runs by: - output[ifo.detector][a:b:c] - where a:b:c is your slice. Or you can select multiple outputs with: - output[['det1', 'det2']][a:b:c] - Attributes:
- namestr
- Name to give to this analysis 
- parent- BaseSolution
- parent: finesse.tree.TreeNode 
- xtuple(ndarray)
- Array of axes that have been scanned over 
- shapenumpy.ndarray
- The shape of the underlying data array. use a single integer for 1D outputs, N-dimensional outputs can be specified by using tuples, i.e. (10,5,100) for a 3D array with the requested sizes. 
- params[array_like(objects)|array_like(str)]
- Parameters associtated with each dimension of the data 
 
 
Properties
| The number of outputs that have been stored in here so far | |
| Returns all the outputs that have been stored. | 
Methods
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 | This method will setup this solution to allow for fast C access for updating the solution in simulations. | 
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 | Expands the output buffer by shape elements. | 
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 | Get legacy style data | 
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 | Calling this will compute all detector outputs and add an entry to the outputs stored. | 
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 | Write Finesse 2 style ASCII output file |