MAINT: TEST: Remove nose functions (#597)

Replaced with `numpy.testing` functions

quantecon/game_theory/game_generators/tests/test_bimatrix_generators.py

@@ -4,8 +4,7 @@
 """
 import numpy as np
 from scipy.special import comb
-from numpy.testing import assert_array_equal
-from nose.tools import eq_, ok_, raises
+from numpy.testing import assert_array_equal, assert_, assert_raises
 from quantecon.gridtools import num_compositions
 from quantecon.game_theory import pure_nash_brute
 
@@ -15,19 +14,19 @@
 
 
 class TestBlottoGame:
-    def setUp(self):
+    def setup(self):
         self.h, self.t = 4, 3
         rho = 0.5
         self.g = blotto_game(self.h, self.t, rho)
 
     def test_size(self):
         n = num_compositions(self.h, self.t)
-        eq_(self.g.nums_actions, (n, n))
+        assert_(self.g.nums_actions == (n, n))
 
     def test_constant_diagonal(self):
         for i in range(self.g.N):
             diag = self.g.payoff_arrays[i].diagonal()
-            ok_((diag == diag[0]).all())
+            assert_((diag == diag[0]).all())
 
     def test_seed(self):
         seed = 0
@@ -39,21 +38,23 @@ def test_seed(self):
 
 
 class TestRankingGame:
-    def setUp(self):
+    def setup(self):
         self.n = 100
         self.g = ranking_game(self.n)
 
     def test_size(self):
-        eq_(self.g.nums_actions, (self.n, self.n))
+        assert_(self.g.nums_actions == (self.n, self.n))
 
     def test_weakly_decreasing_row_wise_payoffs(self):
         for payoff_array in self.g.payoff_arrays:
-            ok_((payoff_array[:, 1:-1] >= payoff_array[:, 2:]).all())
+            assert_((payoff_array[:, 1:-1] >= payoff_array[:, 2:]).all())
 
     def test_elements_first_row(self):
-        eq_(self.g.payoff_arrays[0][0, 0] + self.g.payoff_arrays[1][0, 0], 1.)
+        assert_(
+            self.g.payoff_arrays[0][0, 0] + self.g.payoff_arrays[1][0, 0] == 1.
+        )
         for payoff_array in self.g.payoff_arrays:
-            ok_(np.isin(payoff_array[0, :], [0, 1, 0.5]).all())
+            assert_(np.isin(payoff_array[0, :], [0, 1, 0.5]).all())
 
     def test_seed(self):
         seed = 0
@@ -84,53 +85,52 @@ def test_sgc_game():
 
 
 class TestTournamentGame:
-    def setUp(self):
+    def setup(self):
         self.n = 5
         self.k = 3
         self.m = comb(self.n, self.k, exact=True)
         self.g = tournament_game(self.n, self.k)
 
     def test_size(self):
-        eq_(self.g.nums_actions, (self.n, self.m))
+        assert_(self.g.nums_actions == (self.n, self.m))
 
     def test_payoff_values(self):
         possible_values = [0, 1]
         for payoff_array in self.g.payoff_arrays:
-            ok_(np.isin(payoff_array, possible_values).all())
+            assert_(np.isin(payoff_array, possible_values).all())
 
         max_num_dominated_subsets = \
             sum([comb(i, self.k, exact=True) for i in range(self.n)])
-        ok_(self.g.payoff_arrays[0].sum() <= max_num_dominated_subsets)
-        ok_((self.g.payoff_arrays[1].sum(axis=1) == self.k).all())
+        assert_(self.g.payoff_arrays[0].sum() <= max_num_dominated_subsets)
+        assert_((self.g.payoff_arrays[1].sum(axis=1) == self.k).all())
 
     def test_seed(self):
         seed = 0
         g0 = tournament_game(self.n, self.k, random_state=seed)
         g1 = tournament_game(self.n, self.k, random_state=seed)
         assert_array_equal(g1.payoff_profile_array, g0.payoff_profile_array)
 
-    @raises(ValueError)
     def test_raises_value_error_too_large_inputs(self):
         n, k = 100, 50
-        tournament_game(n, k)
+        assert_raises(ValueError, tournament_game, n, k)
 
 
 class TestUnitVectorGame:
-    def setUp(self):
+    def setup(self):
         self.n = 100
         self.g = unit_vector_game(self.n)
 
     def test_size(self):
-        eq_(self.g.nums_actions, (self.n, self.n))
+        assert_(self.g.nums_actions == (self.n, self.n))
 
     def test_payoff_values(self):
         # Player 0
-        ok_((np.sum(self.g.players[0].payoff_array, axis=0) == 1).all())
+        assert_((np.sum(self.g.players[0].payoff_array, axis=0) == 1).all())
 
     def test_avoid_pure_nash(self):
         NEs = pure_nash_brute(unit_vector_game(self.n, avoid_pure_nash=True),
                               tol=0)
-        eq_(len(NEs), 0)
+        assert_(len(NEs) == 0)
 
     def test_seed(self):
         seed = 0
@@ -144,12 +144,11 @@ def test_redraw(self):
         n = 2
         g = unit_vector_game(n, avoid_pure_nash=True, random_state=seed)
         NEs = pure_nash_brute(g, tol=0)
-        eq_(len(NEs), 0)
+        assert_(len(NEs) == 0)
 
-    @raises(ValueError)
     def test_raises_value_error_avoid_pure_nash_n_1(self):
         n = 1
-        unit_vector_game(n, avoid_pure_nash=True)
+        assert_raises(ValueError, unit_vector_game, n, avoid_pure_nash=True)
 
 
 def test_payoff_range():
@@ -162,13 +161,3 @@ def test_payoff_range():
         g = func(**kwargs)
         for payoff_array in g.payoff_arrays:
             assert_array_equal(np.clip(payoff_array, 0, 1), payoff_array)
-
-
-if __name__ == '__main__':
-    import sys
-    import nose
-
-    argv = sys.argv[:]
-    argv.append('--verbose')
-    argv.append('--nocapture')
-    nose.main(argv=argv, defaultTest=__file__)