@@ -99,7 +99,9 @@ def test_binomial_n_zero():
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zeros = np .zeros (2 , dtype = 'int' )
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for p in [0 , .5 , 1 ]:
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assert rnd .binomial (0 , p ) == 0
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- np .testing .assert_array_equal (rnd .binomial (zeros , p ), zeros )
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+ actual = rnd .binomial (zeros , p )
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+ np .testing .assert_allclose (actual , zeros )
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+
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def test_binomial_p_is_nan ():
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# Issue #4571.
@@ -330,7 +332,7 @@ def test_randomdist_rand(randomdist):
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desired = np .array ([[0.9838694715872407 , 0.019142669625580311 ],
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[0.1767608025111258 , 0.70966427633538842 ],
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[0.518550637178123 , 0.98780936631374061 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_randn (randomdist ):
@@ -339,7 +341,7 @@ def test_randomdist_randn(randomdist):
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desired = np .array ([[2.1411609928913298 , - 2.0717866791744819 ],
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[- 0.92778018318550248 , 0.55240420724917727 ],
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[0.04651632135517459 , 2.2510674226058036 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e- 10 )
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def test_randomdist_randint (randomdist ):
@@ -354,7 +356,7 @@ def test_randomdist_random_integers(randomdist):
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with suppress_warnings () as sup :
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w = sup .record (DeprecationWarning )
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actual = rnd .random_integers (- 99 , 99 , size = (3 , 2 ))
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- assert_ ( len (w ) == 1 )
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+ assert len (w ) == 1
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desired = np .array ([[96 , - 96 ], [- 64 , 42 ], [4 , 97 ]])
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np .testing .assert_array_equal (actual , desired )
@@ -370,7 +372,7 @@ def test_random_integers_max_int():
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w = sup .record (DeprecationWarning )
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actual = rnd .random_integers (np .iinfo ('l' ).max ,
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np .iinfo ('l' ).max )
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- assert_ ( len (w ) == 1 )
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+ assert len (w ) == 1
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desired = np .iinfo ('l' ).max
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np .testing .assert_equal (actual , desired )
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@@ -396,7 +398,7 @@ def test_randomdist_random_sample(randomdist):
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desired = np .array ([[0.9838694715872407 , 0.01914266962558031 ],
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[0.1767608025111258 , 0.7096642763353884 ],
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[0.518550637178123 , 0.9878093663137406 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_choice_uniform_replace (randomdist ):
@@ -461,29 +463,29 @@ def test_choice_exceptions():
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def test_choice_return_shape ():
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p = [0.1 , 0.9 ]
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# Check scalar
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- assert_ ( np .isscalar (rnd .choice (2 , replace = True ) ))
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- assert_ ( np .isscalar (rnd .choice (2 , replace = False ) ))
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- assert_ ( np .isscalar (rnd .choice (2 , replace = True , p = p ) ))
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- assert_ ( np .isscalar (rnd .choice (2 , replace = False , p = p ) ))
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- assert_ ( np .isscalar (rnd .choice ([1 , 2 ], replace = True ) ))
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- assert_ ( rnd .choice ([None ], replace = True ) is None )
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+ assert np .isscalar (rnd .choice (2 , replace = True ))
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+ assert np .isscalar (rnd .choice (2 , replace = False ))
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+ assert np .isscalar (rnd .choice (2 , replace = True , p = p ))
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+ assert np .isscalar (rnd .choice (2 , replace = False , p = p ))
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+ assert np .isscalar (rnd .choice ([1 , 2 ], replace = True ))
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+ assert rnd .choice ([None ], replace = True ) is None
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a = np .array ([1 , 2 ])
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arr = np .empty (1 , dtype = object )
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arr [0 ] = a
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- assert_ ( rnd .choice (arr , replace = True ) is a )
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+ assert rnd .choice (arr , replace = True ) is a
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# Check 0-d array
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s = tuple ()
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- assert_ ( not np .isscalar (rnd .choice (2 , s , replace = True ) ))
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- assert_ ( not np .isscalar (rnd .choice (2 , s , replace = False ) ))
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- assert_ ( not np .isscalar (rnd .choice (2 , s , replace = True , p = p ) ))
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- assert_ ( not np .isscalar (rnd .choice (2 , s , replace = False , p = p ) ))
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- assert_ ( not np .isscalar (rnd .choice ([1 , 2 ], s , replace = True ) ))
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- assert_ ( rnd .choice ([None ], s , replace = True ).ndim == 0 )
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+ assert not np .isscalar (rnd .choice (2 , s , replace = True ))
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+ assert not np .isscalar (rnd .choice (2 , s , replace = False ))
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+ assert not np .isscalar (rnd .choice (2 , s , replace = True , p = p ))
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+ assert not np .isscalar (rnd .choice (2 , s , replace = False , p = p ))
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+ assert not np .isscalar (rnd .choice ([1 , 2 ], s , replace = True ))
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+ assert rnd .choice ([None ], s , replace = True ).ndim == 0
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a = np .array ([1 , 2 ])
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arr = np .empty (1 , dtype = object )
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arr [0 ] = a
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- assert_ ( rnd .choice (arr , s , replace = True ).item () is a )
488
+ assert rnd .choice (arr , s , replace = True ).item () is a
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# Check multi dimensional array
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s = (2 , 3 )
@@ -548,7 +550,7 @@ def test_randomdist_beta(randomdist):
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[[0.9856952034381025 , 4.35869375658114e-08 ],
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[0.0014230232791189966 , 1.4981856288121975e-06 ],
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[1.426135763875603e-06 , 4.5801786040477326e-07 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_binomial (randomdist ):
@@ -564,7 +566,7 @@ def test_randomdist_chisquare(randomdist):
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desired = np .array ([[50.955833609920589 , 50.133178918244099 ],
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[61.513615847062013 , 50.757127871422448 ],
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[52.79816819717081 , 49.973023331993552 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
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def test_randomdist_dirichlet (randomdist ):
@@ -577,7 +579,7 @@ def test_randomdist_dirichlet(randomdist):
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[0.5452378139016114 , 0.45476218609838875 ]],
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[[0.6498494402738553 , 0.3501505597261446 ],
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[0.5622024400324822 , 0.43779755996751785 ]]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 4e-10 , rtol = 4e- 10 )
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def test_dirichlet_size ():
@@ -599,7 +601,7 @@ def test_randomdist_exponential(randomdist):
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desired = np .array ([[0.01826877748252199 , 4.4439855151117005 ],
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[1.9468048583654507 , 0.38528493864979607 ],
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[0.7377565464231758 , 0.013779117663987912 ]])
602
- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_f (randomdist ):
@@ -608,7 +610,7 @@ def test_randomdist_f(randomdist):
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desired = np .array ([[1.325076177478387 , 0.8670927327120197 ],
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[2.1190792007836827 , 0.9095296301824258 ],
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[1.4953697422236187 , 0.9547125618834837 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 9 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-8 , rtol = 1e- 9 )
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def test_randomdist_gamma (randomdist ):
@@ -617,7 +619,7 @@ def test_randomdist_gamma(randomdist):
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desired = np .array ([[15.073510060334929 , 14.525495858042685 ],
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[22.73897210140115 , 14.94044782480266 ],
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[16.327929995271095 , 14.419692564592896 ]])
620
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
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def test_randomdsit_geometric (randomdist ):
@@ -633,7 +635,7 @@ def test_randomdist_gumbel(randomdist):
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desired = np .array ([[- 8.114386462751979 , 2.873840411460178 ],
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[1.2231161758452016 , - 2.0168070493213532 ],
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[- 0.7175455966332102 , - 8.678464904504784 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
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def test_randomdist_hypergeometric (randomdist ):
@@ -667,7 +669,7 @@ def test_randomdist_laplace(randomdist):
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desired = np .array ([[0.15598087210935016 , - 3.3424589282252994 ],
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[- 1.189978401356375 , 3.0607925598732253 ],
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[0.0030946589024587745 , 3.14795824463997 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_logistic (randomdist ):
@@ -676,7 +678,7 @@ def test_randomdist_logistic(randomdist):
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desired = np .array ([[8.345015961402696 , - 7.749557532940552 ],
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[- 2.9534419690278444 , 1.910964962531448 ],
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[0.2719300361499433 , 8.913100396613983 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_lognormal (randomdist ):
@@ -685,13 +687,13 @@ def test_randomdist_lognormal(randomdist):
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desired = np .array ([[81.92291750917155 , 0.01795087229603931 ],
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[0.1769118704670423 , 3.415299544410577 ],
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[1.2417099625339398 , 102.0631392685238 ]])
688
- np .testing .assert_array_almost_equal (actual , desired , decimal = 6 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-6 , rtol = 1e-10 )
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actual = rnd .lognormal (mean = .123456789 , sigma = 2.0 , size = (3 ,2 ),
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method = 'Box-Muller2' )
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desired = np .array ([[0.2585388231094821 , 0.43734953048924663 ],
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[26.050836228611697 , 26.76266237820882 ],
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[0.24216420175675096 , 0.2481945765083541 ]])
694
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
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def test_randomdist_logseries (randomdist ):
@@ -726,12 +728,12 @@ def test_randomdist_multivariate_normal(randomdist):
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[1.001190462507746 , 10.0 ]],
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[[- 1.74157261455869 , 10.0 ],
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730
[1.0400952859037553 , 10.0 ]]])
729
- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
731
+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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# Check for default size, was raising deprecation warning
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actual = rnd .multivariate_normal (mean , cov )
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desired = np .array ([1.0579899448949994 , 10.0 ])
734
- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
736
+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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# Check that non positive-semidefinite covariance raises warning
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mean = [0 , 0 ]
@@ -752,7 +754,7 @@ def test_randomdist_multinormal_cholesky(randomdist):
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[- 0.6146263106001378 , 9.893801873973892 ]],
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[[1.691753328795276 , 10.797627196240155 ],
754
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[- 0.647341237129921 , 9.626899489691816 ]]])
755
- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
757
+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_negative_binomial (randomdist ):
@@ -768,13 +770,13 @@ def test_randomdist_noncentral_chisquare(randomdist):
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desired = np .array ([[5.871334619375055 , 8.756238913383225 ],
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[17.29576535176833 , 3.9028417087862177 ],
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[5.1315133729432505 , 9.942717979531027 ]])
771
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
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actual = rnd .noncentral_chisquare (df = .5 , nonc = .2 , size = (3 , 2 ))
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desired = np .array ([[0.0008971007339949436 , 0.08948578998156566 ],
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[0.6721835871997511 , 2.8892645287699352 ],
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778
[5.0858149962761007e-05 , 1.7315797643658821 ]])
777
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
779
+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
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def test_randomdist_noncentral_f (randomdist ):
@@ -784,7 +786,7 @@ def test_randomdist_noncentral_f(randomdist):
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desired = np .array ([[0.2216297348371284 , 0.7632696724492449 ],
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787
[98.67664232828238 , 0.9500319825372799 ],
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[0.3489618249246971 , 1.5035633972571092 ]])
787
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
789
+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
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def test_randomdist_normal (randomdist ):
@@ -793,21 +795,21 @@ def test_randomdist_normal(randomdist):
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desired = np .array ([[4.405778774782659 , - 4.020116569348963 ],
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[- 1.732103577371005 , 1.2282652034983546 ],
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[0.21648943171034918 , 4.625591634211608 ]])
796
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
798
+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
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rnd .seed (randomdist .seed , brng = randomdist .brng )
799
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actual = rnd .normal (loc = .123456789 , scale = 2.0 , size = (3 , 2 ), method = "BoxMuller" )
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desired = np .array ([[0.16673479781277187 , - 3.4809986872165952 ],
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[- 0.05193761082535492 , 3.249201213154922 ],
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804
[- 0.11915582299214138 , 3.555636100927892 ]])
803
- np .testing .assert_array_almost_equal (actual , desired , decimal = 8 )
805
+ np .testing .assert_allclose (actual , desired , atol = 1e-8 , rtol = 1e- 8 )
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rnd .seed (randomdist .seed , brng = randomdist .brng )
806
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actual = rnd .normal (loc = .123456789 , scale = 2.0 , size = (3 , 2 ), method = "BoxMuller2" )
807
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desired = np .array ([[0.16673479781277187 , 0.48153966449249175 ],
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810
[- 3.4809986872165952 , - 0.8101190082826486 ],
809
811
[- 0.051937610825354905 , 2.4088402362484342 ]])
810
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
812
+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e- 7 )
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815
def test_randomdist_pareto (randomdist ):
@@ -853,7 +855,7 @@ def test_randomdist_power(randomdist):
853
855
desired = np .array ([[0.8765841803224415 , 1.2140041091640163e-14 ],
854
856
[8.013574117268635e-07 , 0.06216255187464781 ],
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857
[0.004895628723087296 , 0.9054248959192386 ]])
856
- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
858
+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
857
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860
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861
def test_randomdist_rayleigh (randomdist ):
@@ -862,7 +864,7 @@ def test_randomdist_rayleigh(randomdist):
862
864
desired = np .array ([[1.80344345931194 , 28.127692489122378 ],
863
865
[18.6169699930609 , 8.282068232120208 ],
864
866
[11.460520015934597 , 1.5662406536967712 ]])
865
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
867
+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
866
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867
869
868
870
def test_randomdist_standard_cauchy (randomdist ):
@@ -871,7 +873,7 @@ def test_randomdist_standard_cauchy(randomdist):
871
873
desired = np .array ([[19.716487700629912 , - 16.608240276131227 ],
872
874
[- 1.6117703817332278 , 0.7739915895826882 ],
873
875
[0.058344614106131 , 26.09825325697747 ]])
874
- np .testing .assert_array_almost_equal (actual , desired , decimal = 9 )
876
+ np .testing .assert_allclose (actual , desired , atol = 1e-9 , rtol = 1e-10 )
875
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878
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879
def test_randomdist_standard_exponential (randomdist ):
@@ -880,7 +882,7 @@ def test_randomdist_standard_exponential(randomdist):
880
882
desired = np .array ([[0.016262041554675085 , 3.955835423813157 ],
881
883
[1.7329578586126497 , 0.3429632710074738 ],
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884
[0.6567175951781875 , 0.012265548926462446 ]])
883
- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
885
+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_standard_gamma (randomdist ):
@@ -889,7 +891,7 @@ def test_randomdist_standard_gamma(randomdist):
889
891
desired = np .array ([[2.939330965027084 , 2.799606052259993 ],
890
892
[4.988193705918075 , 2.905305108691164 ],
891
893
[3.2630929395548147 , 2.772756340265377 ]])
892
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
894
+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
893
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894
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895
897
def test_randomdist_standard_normal (randomdist ):
@@ -898,14 +900,14 @@ def test_randomdist_standard_normal(randomdist):
898
900
desired = np .array ([[2.1411609928913298 , - 2.071786679174482 ],
899
901
[- 0.9277801831855025 , 0.5524042072491773 ],
900
902
[0.04651632135517459 , 2.2510674226058036 ]])
901
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
903
+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
902
904
903
905
rnd .seed (randomdist .seed , brng = randomdist .brng )
904
906
actual = rnd .standard_normal (size = (3 , 2 ), method = 'BoxMuller2' )
905
907
desired = np .array ([[0.021639004406385935 , 0.17904143774624587 ],
906
908
[- 1.8022277381082976 , - 0.4667878986413243 ],
907
909
[- 0.08769719991267745 , 1.1426917236242171 ]])
908
- np .testing .assert_array_almost_equal (actual , desired , decimal = 7 )
910
+ np .testing .assert_allclose (actual , desired , atol = 1e-7 , rtol = 1e-10 )
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911
913
def test_randomdist_standard_t (randomdist ):
@@ -914,7 +916,7 @@ def test_randomdist_standard_t(randomdist):
914
916
desired = np .array ([[- 0.783927044239963 , 0.04762883516531178 ],
915
917
[0.7624597987725193 , - 1.8045540288955506 ],
916
918
[- 1.2657694296239195 , 0.307870906117017 ]])
917
- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
919
+ np .testing .assert_allclose (actual , desired , atol = 5e-10 , rtol = 5e- 10 )
918
920
919
921
920
922
def test_randomdist_triangular (randomdist ):
@@ -924,7 +926,7 @@ def test_randomdist_triangular(randomdist):
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desired = np .array ([[18.764540652669638 , 6.340166306695037 ],
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[8.827752689522429 , 13.65605077739865 ],
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[11.732872979633328 , 18.970392754850423 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_uniform (randomdist ):
@@ -933,7 +935,7 @@ def test_randomdist_uniform(randomdist):
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desired = np .array ([[10.38982478047721 , 1.408218254214153 ],
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[2.8756430713785814 , 7.836974412682466 ],
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[6.057706432128325 , 10.426505200380925 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_uniform_range_bounds ():
@@ -957,7 +959,7 @@ def test_randomdist_vonmises(randomdist):
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desired = np .array ([[1.1027657269593822 , 1.2539311427727782 ],
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[2.0281801137277764 , 1.3262040229028056 ],
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[0.9510301598100863 , 2.0284972823322818 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_vonmises_small (randomdist ):
@@ -975,7 +977,7 @@ def test_randomdist_wald(randomdist):
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[2.756850184899666 , 2.005347850108636 ],
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[1.179918636588408 , 0.20928649815442452 ]
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])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e-10 , rtol = 1e- 10 )
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def test_randomdist_weibull (randomdist ):
@@ -984,7 +986,7 @@ def test_randomdist_weibull(randomdist):
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desired = np .array ([[0.035129404330214734 , 3.058859465984936 ],
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[1.5636393343788513 , 0.4189406773709585 ],
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[0.710439924774508 , 0.02793103204502023 ]])
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- np .testing .assert_array_almost_equal (actual , desired , decimal = 10 )
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+ np .testing .assert_allclose (actual , desired , atol = 1e- 10 )
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def test_randomdist_zipf (randomdist ):
@@ -1018,7 +1020,7 @@ def _check_function(seed_list, function, sz):
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# these platforms change x87 fpu precision mode in threads
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if (np .intp ().dtype .itemsize == 4 and sys .platform == "win32" ):
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- np .testing .assert_array_almost_equal (out1 , out2 )
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+ np .testing .assert_allclose (out1 , out2 )
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else :
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np .testing .assert_array_equal (out1 , out2 )
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