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@ -2465,7 +2465,7 @@ def _discretize_linear(fun, a, b, tol=0.005, n=5):
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y = fun(x)
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y00 = interp(x, x0, y0)
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err = 0.5 * amax(np.abs((y00 - y) / (np.abs(y00 + y) + _TINY)))
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num_tries += int(abs (err - err0) <= tol/2)
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num_tries += int(abs(err - err0) <= tol/2)
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return x, y
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@ -2503,7 +2503,7 @@ def _discretize_adaptive(fun, a, b, tol=0.005, n=5):
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x = x[I]
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erri = hstack((zeros(len(fx)), erri))[I]
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fx = hstack((fx, fy))[I]
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num_tries += int(abs (err - err0) <= tol/2)
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num_tries += int(abs(err - err0) <= tol/2)
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else:
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break
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else:
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