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Commits on Apr 14, 2014

• Merge pull request #2276 from embray/merge-parametric-model

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Commits on Apr 10, 2014

• Rename Parametric.*Model to Fittable.*Model--a name whicih at this point better describes the small distinction it has over other Model types. All models (or almost all anyway) have one or more adj…

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Commits on Apr 9, 2014

• added width to various kernels

  

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Commits on Apr 5, 2014

• Merge pull request #2085 from larrybradley/gausskerns

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Commits on Apr 4, 2014

• changed input parameter from "width" to "stddev" for Gaussian kernels

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• changed input parameter from "width" to "fwhm" for Gaussian kernels

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• Fix typo in Model2DKernel docstring.

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• Document return value of discretize_model

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Commits on Mar 28, 2014

• changed AiryDisk2DKernel input parameter from width to radius to match AiryDisk2D model

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Commits on Mar 3, 2014

• :%s/,\([^ ]\)/, \1/g , even though I disagree with pep8 in this

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• human readable times

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• fixed boolean tests, order of operations, exceedingly slow bigarray test

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• minor change to comments

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• too much happened in this commit...

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• added a brief note about when 'convolve' is preferable

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• add "optional" flags

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• Exception -> ValueError

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• need to check for that override parameter...

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• Prevent convolution of enormous (>1 GB) arrays unless explicitly

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• minor documentation fixes & comments in convolution

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• Fixing many links

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• Fixed more links, but a few still remains

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Commits on Feb 27, 2014

• Manually merge pull request #1826 from kbarbary/automodsumm-paths

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Commits on Feb 26, 2014

• Merge pull request #2109 from cdeil/docstring_html_links

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• Minor docstring formatting fixes in astropy.convolution

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Commits on Feb 22, 2014

• Fix x, y order with numpy.mgrid usage

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Commits on Feb 17, 2014

• add missing __all__ to convolution/core.py

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Commits on Feb 15, 2014

• changed to np.isinf

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Commits on Feb 3, 2014

• Added CustomKernel tests for zero-summed kernels.

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Commits on Jan 29, 2014

• CustomKernel fixes

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Commits on Jan 28, 2014

• Raising exception when normalizing kernels, that sum to zero.

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• Clarified MexicanHatKernel normalization

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• Added simple ModelKernel tests

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• Added type cast to float64 in CustomKernel and adapted peak normalization

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• Fixed bug in Model2DKernel

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