Startup
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@@ -1,18 +1,18 @@
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import numpy as np
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def ext(x, y):
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def extremum(x, y):
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"""
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Return extremum coordinates of quadratic fit
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"""
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p = np.polyfit(x, y, 2)
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f = np.poly1d(p)
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x_fit = 1.0 #np.linspace(min(x), max(x), 100)
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#y_fit = 2.0 #f(x_fit)
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if p[0] != 0:
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x_ext = -p[1]/2/p[0]
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y_ext = f(x_ext)
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else:
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x_ext = None
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y_ext = None
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return (x_ext, y_ext, x_ext)
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x_fit = np.linspace(min(x), max(x), 100)
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y_fit = f(x_fit)
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return (x_ext, y_ext, x_fit, y_fit)
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@@ -4,10 +4,9 @@ def hfitoff(data, xdeg):
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ret = call_jep("CPython/hfitoff", "hfitoff", [to_npa(data),to_npa(xdeg)])
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return (ret[0], ret[1], ret[2],ret[3], ret[4].data, ret[5].data)
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def ext(x, y):
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ret = call_jep("CPython/ext", "ext", [to_npa(x),to_npa(y)])
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#return (ret[0], ret[1], ret[2].data, ret[3].data)
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return (ret[0], ret[1], ret[2])
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def extremum(x, y):
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ret = call_jep("CPython/extremum", "extremum", [to_npa(x),to_npa(y)])
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return (ret[0], ret[1], ret[2].data, ret[3].data)
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def gfitoff(x, y, off=None, amp=None, com=None, sigma=None):
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ret = call_jep("CPython/gfitoff", "gfitoff", [to_npa(x), to_npa(y), off, amp, com, sigma])
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