replace odr by odr_fit

Author: HugoMVale

tests/test_odr_multiprocessing.py tests/test_multiprocessing.pytests/test_odr_multiprocessing.py renamed to tests/test_multiprocessing.py

@@ -3,7 +3,7 @@
 
 import numpy as np
 
-from odrpack import odr
+from odrpack import odr_fit
 
 DELAY = 0.01  # s
 
@@ -15,7 +15,7 @@ def f1(beta: np.ndarray, x: np.ndarray) -> np.ndarray:
 
 
 beta1 = np.array([1, -2., 0.1, -0.1])
-x1 = np.linspace(-10., 10., 21)
+x1 = np.linspace(-10., 10., 21, dtype=np.float64)
 y1 = f1(beta1, x1)
 
 
@@ -25,7 +25,7 @@ def f2(beta: np.ndarray, x: np.ndarray) -> np.ndarray:
 
 
 beta2 = np.array([2., 2.])
-x2 = np.linspace(-10., 10., 41)
+x2 = np.linspace(-10., 10., 41, dtype=np.float64)
 x2 = np.vstack((x2, 10+x2/2))
 y2 = f2(beta2, x2)
 
@@ -39,26 +39,26 @@ def f3(beta: np.ndarray, x: np.ndarray) -> np.ndarray:
 
 
 beta3 = np.array([1., 2., 3.])
-x3 = np.linspace(-1., 1., 31)
+x3 = np.linspace(-1., 1., 31, dtype=np.float64)
 x3 = np.vstack((x3, np.exp(x3), x3**2))
 y3 = f3(beta3, x3)
 
-case1 = (f1, np.ones_like(beta1), y1, x1)
-case2 = (f2, np.ones_like(beta2), y2, x2)
-case3 = (f3, np.ones_like(beta3), y3, x3)
+case1 = (f1, x1, y1, np.ones_like(beta1))
+case2 = (f2, x2, y2, np.ones_like(beta2))
+case3 = (f3, x3, y3, np.ones_like(beta3))
 
 
 def test_multiple_processes():
 
     # ref solutions
-    sol1 = odr(*case1)
-    sol2 = odr(*case2)
-    sol3 = odr(*case3)
+    sol1 = odr_fit(*case1)
+    sol2 = odr_fit(*case2)
+    sol3 = odr_fit(*case3)
 
     # multiple processes
     pool = Pool()
     num_jobs = 10
-    solutions = pool.starmap(odr, [case1, case2, case3]*num_jobs)
+    solutions = pool.starmap(odr_fit, [case1, case2, case3]*num_jobs)
     pool.close()
     pool.join()