adds full functionality test for find_n_gap
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@ -1,6 +1,9 @@
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import numpy # type: ignore
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import numpy # type: ignore
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import scipy.integrate as integrate # type: ignore
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import scipy.integrate as integrate # type: ignore
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import scipy.optimize # type: ignore
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import scipy.optimize # type: ignore
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import logging
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from typing import Tuple
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def energy(freq: float, delta: float) -> float:
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def energy(freq: float, delta: float) -> float:
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@ -68,3 +71,22 @@ def n_integral(temp: float, delta: float, mu_star: float) -> float:
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lower = integrate.quad(integrand, 0, intermediate)[0]
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lower = integrate.quad(integrand, 0, intermediate)[0]
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upper = integrate.quad(integrand, intermediate, numpy.inf)[0]
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upper = integrate.quad(integrand, intermediate, numpy.inf)[0]
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return lower + upper
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return lower + upper
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def find_gap_for_n(
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temp: float,
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n_bare: float,
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debye_frequency: float,
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nv: float
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) -> Tuple[float, float]:
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n = n_bare * find_gap(0, 0, debye_frequency, nv)
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nv_inv = 1 / nv
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sol = scipy.optimize.root(
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lambda x: [
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gap_integral(temp, x[0], x[1], debye_frequency) - nv_inv,
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n_integral(temp, x[0], x[1]) - n
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],
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x0=[debye_frequency / (numpy.sinh(nv_inv)), 0]
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)
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logging.debug(sol)
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return sol.x
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@ -67,3 +67,12 @@ def test_n_integral():
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verbose=True
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verbose=True
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)
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)
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assert not record
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assert not record
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def test_find_n_gap():
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actual = pysuperconductor.os_gap_calc.find_gap_for_n(.3, .1, 100, .2)
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numpy.testing.assert_almost_equal(
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actual[0], 1.0296692197710933,
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decimal=7, err_msg="did not find correct delta",
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verbose=True
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)
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