do not use context managers for pool because that breaks coverage

pyproject.toml

@@ -1,7 +1,7 @@
 [tool.poetry]
 description = "Generate continuous time stationary stochastic processes from a given auto correlation function."
 name = "stocproc"
-version = "1.0.3"
+version = "1.0.4"
 authors = ["Richard Hartmann <richard.hartmann@tu-dresden.de>"]
 license = "BSD (3 clause)"
 classifiers = [

stocproc/method_ft.py

@@ -215,8 +215,14 @@ def _fourier_sum(tau, x, w, f):
 def fourier_integral_TanhSinh(f, x_max, n, tau_l, t_max_ts):
     x, w = get_x_w_and_dt(n, x_max, t_max_ts)
     _f = partial(_fourier_sum, x=x, w=w, f=f)
-    with Pool() as pool:
+
+    pool = Pool()
+    try:
         I = pool.map(_f, tau_l)
+    finally:
+        pool.close()
+        pool.join()
+
     I = np.asarray(I)
     return I
 
@@ -525,13 +531,23 @@ def get_dt_for_accurate_interpolation(t_max, tol, ft_ref, diff_method=_absDiff):
 
         ft_ref_n[::2] = ft_ref_n_old
 
-        with Pool() as pool:
+        pool = Pool()
+        try:
             ft_ref_n_new = np.asarray(pool.map(ft_ref, tau[1::2]))
+        finally:
+            pool.close()
+            pool.join()
+
         ft_ref_n[1::2] = ft_ref_n_new
 
         ft_intp = fcSpline.FCS(x_low=0, x_high=t_max, y=ft_ref_n_old)
-        with Pool() as pool:
+
+        pool = Pool()
+        try:
             ft_intp_n_new = np.asarray(pool.map(ft_intp, tau[1::2]))
+        finally:
+            pool.close()
+            pool.join()
 
         ft_ref_n_new /= ft_ref_0
         ft_intp_n_new /= ft_ref_0