Stable sample.py and unit tests #170
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| # Copyright (C) 2016 The BET Development TEam | ||
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| # Steve Mattis 03/23/2016 | ||
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| import unittest | ||
| import numpy as np | ||
| import numpy.testing as nptest | ||
| import bet.sample as sample | ||
| import bet.util as util | ||
| from bet.Comm import comm, MPI | ||
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| class Test_sample_set(unittest.TestCase): | ||
| def setUp(self): | ||
| self.dim = 2 | ||
| self.num = 100 | ||
| self.values = np.ones((self.num, self.dim)) | ||
| self.sam_set = sample.sample_set(dim=self.dim) | ||
| self.sam_set.set_values(self.values) | ||
| def test_check_dim(self): | ||
| """ | ||
| Check set_dim | ||
| """ | ||
| self.assertEqual(self.dim, self.sam_set.get_dim()) | ||
| def test_set_values(self): | ||
| """ | ||
| Check set_values. | ||
| """ | ||
| values = np.ones((150, self.dim)) | ||
| self.sam_set.set_values(values) | ||
| nptest.assert_array_equal(util.fix_dimensions_data(values), self.sam_set.get_values()) | ||
| def test_get_values(self): | ||
| """ | ||
| Check get_samples. | ||
| """ | ||
| nptest.assert_array_equal(util.fix_dimensions_data(self.values), self.sam_set.get_values()) | ||
| def test_append_values(self): | ||
| """ | ||
| Check appending of values. | ||
| """ | ||
| new_values = np.zeros((10, self.dim)) | ||
| self.sam_set.append_values(new_values) | ||
| nptest.assert_array_equal(util.fix_dimensions_data(new_values), self.sam_set.get_values()[self.num::,:]) | ||
| def test_get_dim(self): | ||
| """ | ||
| Check to see if dimensions are correct. | ||
| """ | ||
| self.assertEqual(self.dim, self.sam_set.get_dim()) | ||
| def test_probabilities(self): | ||
| """ | ||
| Check probability methods | ||
| """ | ||
| prob = 1.0/float(self.num)*np.ones((self.num,)) | ||
| self.sam_set.set_probabilities(prob) | ||
| self.sam_set.check_num() | ||
| nptest.assert_array_equal(prob, self.sam_set.get_probabilities()) | ||
| def test_volumes(self): | ||
| """ | ||
| Check volume methods | ||
| """ | ||
| vol = 1.0/float(self.num)*np.ones((self.num,)) | ||
| self.sam_set.set_volumes(vol) | ||
| self.sam_set.check_num() | ||
| nptest.assert_array_equal(vol, self.sam_set.get_volumes()) | ||
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| def test_error_estimates(self): | ||
| """ | ||
| Check error estimate methods | ||
| """ | ||
| ee = np.ones((self.num, self.dim)) | ||
| self.sam_set.set_error_estimates(ee) | ||
| self.sam_set.check_num() | ||
| nptest.assert_array_equal(ee, self.sam_set.get_error_estimates()) | ||
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| def test_jacobian_methods(self): | ||
| """ | ||
| Check jacobian methods. | ||
| """ | ||
| jac = np.ones((self.num, 3, self.dim)) | ||
| self.sam_set.set_jacobians(jac) | ||
| self.sam_set.check_num() | ||
| nptest.assert_array_equal(jac, self.sam_set.get_jacobians()) | ||
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| def test_check_num(self): | ||
| """ | ||
| Check check_num. | ||
| """ | ||
| prob = 1.0/float(self.num)*np.ones((self.num,)) | ||
| self.sam_set.set_probabilities(prob) | ||
| vol = 1.0/float(self.num)*np.ones((self.num,)) | ||
| self.sam_set.set_volumes(vol) | ||
| ee = np.ones((self.num, self.dim)) | ||
| self.sam_set.set_error_estimates(ee) | ||
| jac = np.ones((self.num, 3, self.dim)) | ||
| self.sam_set.set_jacobians(jac) | ||
| num = self.sam_set.check_num() | ||
| self.assertEqual(self.num, num) | ||
| new_values = np.zeros((10, self.dim)) | ||
| self.sam_set.append_values(new_values) | ||
| self.assertRaises(sample.length_not_matching,self.sam_set.check_num) | ||
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| def test_kd_tree(self): | ||
| """ | ||
| Check features of the KD Tree | ||
| """ | ||
| self.sam_set.set_kdtree() | ||
| self.sam_set.get_kdtree() | ||
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| def test_parallel_features(self): | ||
| """ | ||
| Check parallel features. | ||
| """ | ||
| prob = 1.0/float(self.num)*np.ones((self.num,)) | ||
| self.sam_set.set_probabilities(prob) | ||
| vol = 1.0/float(self.num)*np.ones((self.num,)) | ||
| self.sam_set.set_volumes(vol) | ||
| ee = np.ones((self.num, self.dim)) | ||
| self.sam_set.set_error_estimates(ee) | ||
| jac = np.ones((self.num, 3, self.dim)) | ||
| self.sam_set.set_jacobians(jac) | ||
| self.sam_set.global_to_local() | ||
| self.assertNotEqual(self.sam_set._values_local, None) | ||
| if comm.size > 1 : | ||
| for array_name in self.sam_set._array_names: | ||
| current_array = getattr(self.sam_set, array_name+"_local") | ||
| if current_array is not None: | ||
| self.assertGreater(getattr(self.sam_set, array_name).shape[0], current_array.shape[0]) | ||
| local_size = current_array.shape[0] | ||
| num = comm.allreduce(local_size, op=MPI.SUM) | ||
| self.assertEqual(num, self.num) | ||
| current_array_global = util.get_global_values(current_array) | ||
| nptest.assert_array_equal(getattr(self.sam_set, array_name), current_array_global) | ||
| else: | ||
| for array_name in self.sam_set._array_names: | ||
| current_array = getattr(self.sam_set, array_name+"_local") | ||
| if current_array is not None: | ||
| nptest.assert_array_equal(getattr(self.sam_set, array_name), current_array) | ||
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| for array_name in self.sam_set._array_names: | ||
| current_array = getattr(self.sam_set, array_name) | ||
| if current_array is not None: | ||
| setattr(self.sam_set, array_name + "_old", current_array) | ||
| current_array = None | ||
| self.sam_set.local_to_global() | ||
| for array_name in self.sam_set._array_names: | ||
| current_array = getattr(self.sam_set, array_name + "_local") | ||
| if current_array is not None: | ||
| nptest.assert_array_equal(getattr(self.sam_set, array_name), | ||
| getattr(self.sam_set, array_name + "_old")) | ||
| def test_domain(self): | ||
| """ | ||
| Test domain information. | ||
| """ | ||
| domain = np.ones((self.dim,), dtype=np.int) | ||
|
There was a problem hiding this comment. domain is of shape (dim, 2) so that we store min and max. Also the domain does NOT need to be np.int, it usually will be np.float |
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| self.sam_set.set_domain(domain) | ||
| nptest.assert_array_equal(domain, self.sam_set.get_domain()) | ||
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| class Test_sample_set_1d(Test_sample_set): | ||
| def setUp(self): | ||
| self.dim = 1 | ||
| self.num = 100 | ||
| self.values = np.ones((self.num, self.dim)) | ||
| self.sam_set = sample.sample_set(dim=self.dim) | ||
| self.sam_set.set_values(self.values) | ||
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| class Test_discretization_simple(unittest.TestCase): | ||
| def setUp(self): | ||
| self.dim1 = 3 | ||
| self.num = 100 | ||
| self.dim2 = 1 | ||
| values1 = np.ones((self.num, self.dim1)) | ||
| values2 = np.ones((self.num, self.dim2)) | ||
| values3 = np.ones((self.num, self.dim2)) | ||
| self.input = sample.sample_set(dim=self.dim1) | ||
| self.output = sample.sample_set(dim=self.dim2) | ||
| self.output_probability_set = sample.sample_set(dim=self.dim2) | ||
| self.input.set_values(values1) | ||
| self.output.set_values(values2) | ||
| self.output_probability_set.set_values(values3) | ||
| self.disc = sample.discretization(input_sample_set = self.input, | ||
| output_sample_set = self.output, | ||
| output_probability_set = self.output_probability_set) | ||
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| def Test_check_nums(self): | ||
| """ | ||
| Test number checking. | ||
| """ | ||
| num = self.disc.check_nums() | ||
| self.assertEqual(num, self.num) | ||
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There was a problem hiding this comment. You might want to update these tests to make sure the pointers are actually correct in the case that we change the kdtree to something else. MAYBE or just leave a "# TODO" comment in here for latter referencing issue #156 |
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| def Test_set_io_ptr(self): | ||
| """ | ||
| Test setting io ptr | ||
| """ | ||
| self.disc.set_io_ptr(globalize=True) | ||
| self.disc.get_io_ptr() | ||
| self.disc.set_io_ptr(globalize=False) | ||
| self.disc.get_io_ptr() | ||
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| def Test_set_emulated_ii_ptr(self): | ||
| """ | ||
| Test setting emulated ii ptr | ||
| """ | ||
| values = np.ones((10, self.dim1)) | ||
| self.emulated = sample.sample_set(dim=self.dim1) | ||
| self.emulated.set_values(values) | ||
| self.disc._emulated_input_sample_set = self.emulated | ||
| self.disc.set_emulated_ii_ptr(globalize=True) | ||
| self.disc.get_emulated_ii_ptr() | ||
| self.disc.set_emulated_ii_ptr(globalize=False) | ||
| self.disc.get_emulated_ii_ptr() | ||
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| def Test_set_emulated_oo_ptr(self): | ||
| """ | ||
| Test setting emulated oo ptr | ||
| """ | ||
| values = np.ones((10, self.dim2)) | ||
| self.emulated = sample.sample_set(dim=self.dim2) | ||
| self.emulated.set_values(values) | ||
| self.disc._emulated_output_sample_set = self.emulated | ||
| self.disc.set_emulated_oo_ptr(globalize=True) | ||
| self.disc.get_emulated_oo_ptr() | ||
| self.disc.set_emulated_oo_ptr(globalize=False) | ||
| self.disc.get_emulated_oo_ptr() | ||
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spelling atrrname should be attrname