fix: always use floats for numba

tests/test_all_solvers.py

@@ -95,17 +95,17 @@ def test_case_from_GMAT_hyperbolic_prograde(solver):
     """
     # Initial conditions
     mu_earth = 3.986004418e5  # [km ** 3 / s ** 2]
-    r1 = np.array([7100, 200, 1300])  # [km]
+    r1 = np.array([7100.0, 200.0, 1300.0])  # [km]
     # This vector was obtained after propagating the initial one with original
     # velocity a given amount of time.
     r2 = np.array([-38113.5870, 67274.1946, 29309.5799])  # [km]
-    tof = 12000  # [s]
+    tof = 12000.0  # [s]
 
     # Solving the problem
     v1, v2 = solver(mu_earth, r1, r2, tof)
 
     # Expected final results
-    expected_v1 = np.array([0, 10.35, 5.5])  # [km / s]
+    expected_v1 = np.array([0.0, 10.35, 5.5])  # [km / s]
     expected_v2 = np.array([-3.6379, 4.4932, 1.7735])  # [km / s]
 
     # Assert the results
@@ -122,17 +122,17 @@ def test_case_from_GMAT_hyperbolic_retrograde(solver):
     """
     # Initial conditions
     mu_earth = 3.986004418e5  # [km ** 3 / s ** 2]
-    r1 = np.array([7100, 200, 1300])  # [km]
+    r1 = np.array([7100.0, 200.0, 1300.0])  # [km]
     # This vector was obtained after propagating the initial one with original
     # velocity a given amount of time.
     r2 = np.array([-47332.7499, -54840.2027, -37100.17067])  # [km]
-    tof = 12000  # [s]
+    tof = 12000.0  # [s]
 
     # Solving the problem
     v1, v2 = solver(mu_earth, r1, r2, tof, prograde=False)
 
     # Expected final results
-    expected_v1 = np.array([0, -10.35, -5.5])  # [km / s]
+    expected_v1 = np.array([0.0, -10.35, -5.5])  # [km / s]
     expected_v2 = np.array([-4.3016, -3.4314, -2.5467])  # [km / s]
 
     # Assert the results