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Eli AteljevichEli Ateljevich
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Remove superfluous print
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schimpy/lsc2.py

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@@ -506,8 +506,6 @@ def gen_sigma(nlayer, minlayer, maxlayer, eta, h, mesh, meshfun, nsmoothlay=0):
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hsmooth = eta - zsmooth
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pseudo_bed_depth = hsmooth[:,0]
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# todo from here down is experimental. The next couple lines setup computation of # levels revised
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# after that, nlevel was replaced by nlevel2.
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dztarget = np.zeros_like(nlayer, dtype="d")
@@ -520,8 +518,6 @@ def gen_sigma(nlayer, minlayer, maxlayer, eta, h, mesh, meshfun, nsmoothlay=0):
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# the code later recognizes the minimum of 1 enforced above and below is artificial the globalmaxlayer stuff prevents
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# going past bound ... something that came up in a small test problem
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nlayer2 = np.maximum(1,np.minimum(nlayer2, globalmaxlayer-nsmoothlay))
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print("yo")
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print(nlayer2)
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# this is a flag needed used later to signal to indicate not enough layers to absorb nsmoothlay into the total
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# this is the last opportunity to calculate it based on the original number of layers

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