from __future__ import division, print_function, absolute_import import sys if sys.version_info[0] >= 3: from io import StringIO else: from StringIO import StringIO import tempfile import numpy as np from numpy.testing import assert_equal, \ assert_array_almost_equal_nulp from scipy.sparse import coo_matrix, csc_matrix, rand from scipy.io import hb_read, hb_write SIMPLE = """\ No Title |No Key 9 4 1 4 RUA 100 100 10 0 (26I3) (26I3) (3E23.15) 1 2 2 2 2 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 4 4 4 6 6 6 6 6 6 6 6 6 6 6 8 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 9 11 37 71 89 18 30 45 70 19 25 52 2.971243799687726e-01 3.662366682877375e-01 4.786962174699534e-01 6.490068647991184e-01 6.617490424831662e-02 8.870370343191623e-01 4.196478590163001e-01 5.649603072111251e-01 9.934423887087086e-01 6.912334991524289e-01 """ SIMPLE_MATRIX = coo_matrix( ((0.297124379969, 0.366236668288, 0.47869621747, 0.649006864799, 0.0661749042483, 0.887037034319, 0.419647859016, 0.564960307211, 0.993442388709, 0.691233499152,), (np.array([[36, 70, 88, 17, 29, 44, 69, 18, 24, 51], [0, 4, 58, 61, 61, 72, 72, 73, 99, 99]])))) def assert_csc_almost_equal(r, l): r = csc_matrix(r) l = csc_matrix(l) assert_equal(r.indptr, l.indptr) assert_equal(r.indices, l.indices) assert_array_almost_equal_nulp(r.data, l.data, 10000) class TestHBReader(object): def test_simple(self): m = hb_read(StringIO(SIMPLE)) assert_csc_almost_equal(m, SIMPLE_MATRIX) class TestHBReadWrite(object): def check_save_load(self, value): with tempfile.NamedTemporaryFile(mode='w+t') as file: hb_write(file, value) file.file.seek(0) value_loaded = hb_read(file) assert_csc_almost_equal(value, value_loaded) def test_simple(self): random_matrix = rand(10, 100, 0.1) for matrix_format in ('coo', 'csc', 'csr', 'bsr', 'dia', 'dok', 'lil'): matrix = random_matrix.asformat(matrix_format, copy=False) self.check_save_load(matrix)