Inzynierka/Lib/site-packages/scipy/io/tests/test_mmio.py

760 lines
26 KiB
Python
Raw Normal View History

2023-06-02 12:51:02 +02:00
from tempfile import mkdtemp
import os
import io
import shutil
import textwrap
import numpy as np
from numpy import array, transpose, pi
from numpy.testing import (assert_equal, assert_allclose,
assert_array_equal, assert_array_almost_equal)
import pytest
from pytest import raises as assert_raises
import scipy.sparse
from scipy.io import mminfo, mmread, mmwrite
parametrize_args = [('integer', 'int'),
('unsigned-integer', 'uint')]
class TestMMIOArray:
def setup_method(self):
self.tmpdir = mkdtemp()
self.fn = os.path.join(self.tmpdir, 'testfile.mtx')
def teardown_method(self):
shutil.rmtree(self.tmpdir)
def check(self, a, info):
mmwrite(self.fn, a)
assert_equal(mminfo(self.fn), info)
b = mmread(self.fn)
assert_array_almost_equal(a, b)
def check_exact(self, a, info):
mmwrite(self.fn, a)
assert_equal(mminfo(self.fn), info)
b = mmread(self.fn)
assert_equal(a, b)
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_integer(self, typeval, dtype):
self.check_exact(array([[1, 2], [3, 4]], dtype=dtype),
(2, 2, 4, 'array', typeval, 'general'))
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_32bit_integer(self, typeval, dtype):
a = array([[2**31-1, 2**31-2], [2**31-3, 2**31-4]], dtype=dtype)
self.check_exact(a, (2, 2, 4, 'array', typeval, 'general'))
def test_64bit_integer(self):
a = array([[2**31, 2**32], [2**63-2, 2**63-1]], dtype=np.int64)
if (np.intp(0).itemsize < 8):
assert_raises(OverflowError, mmwrite, self.fn, a)
else:
self.check_exact(a, (2, 2, 4, 'array', 'integer', 'general'))
def test_64bit_unsigned_integer(self):
a = array([[2**31, 2**32], [2**64-2, 2**64-1]], dtype=np.uint64)
self.check_exact(a, (2, 2, 4, 'array', 'unsigned-integer', 'general'))
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_upper_triangle_integer(self, typeval, dtype):
self.check_exact(array([[0, 1], [0, 0]], dtype=dtype),
(2, 2, 4, 'array', typeval, 'general'))
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_lower_triangle_integer(self, typeval, dtype):
self.check_exact(array([[0, 0], [1, 0]], dtype=dtype),
(2, 2, 4, 'array', typeval, 'general'))
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_rectangular_integer(self, typeval, dtype):
self.check_exact(array([[1, 2, 3], [4, 5, 6]], dtype=dtype),
(2, 3, 6, 'array', typeval, 'general'))
def test_simple_rectangular_float(self):
self.check([[1, 2], [3.5, 4], [5, 6]],
(3, 2, 6, 'array', 'real', 'general'))
def test_simple_float(self):
self.check([[1, 2], [3, 4.0]],
(2, 2, 4, 'array', 'real', 'general'))
def test_simple_complex(self):
self.check([[1, 2], [3, 4j]],
(2, 2, 4, 'array', 'complex', 'general'))
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_symmetric_integer(self, typeval, dtype):
self.check_exact(array([[1, 2], [2, 4]], dtype=dtype),
(2, 2, 4, 'array', typeval, 'symmetric'))
def test_simple_skew_symmetric_integer(self):
self.check_exact([[0, 2], [-2, 0]],
(2, 2, 4, 'array', 'integer', 'skew-symmetric'))
def test_simple_skew_symmetric_float(self):
self.check(array([[0, 2], [-2.0, 0.0]], 'f'),
(2, 2, 4, 'array', 'real', 'skew-symmetric'))
def test_simple_hermitian_complex(self):
self.check([[1, 2+3j], [2-3j, 4]],
(2, 2, 4, 'array', 'complex', 'hermitian'))
def test_random_symmetric_float(self):
sz = (20, 20)
a = np.random.random(sz)
a = a + transpose(a)
self.check(a, (20, 20, 400, 'array', 'real', 'symmetric'))
def test_random_rectangular_float(self):
sz = (20, 15)
a = np.random.random(sz)
self.check(a, (20, 15, 300, 'array', 'real', 'general'))
def test_bad_number_of_array_header_fields(self):
s = """\
%%MatrixMarket matrix array real general
3 3 999
1.0
2.0
3.0
4.0
5.0
6.0
7.0
8.0
9.0
"""
text = textwrap.dedent(s).encode('ascii')
with pytest.raises(ValueError, match='not of length 2'):
scipy.io.mmread(io.BytesIO(text))
def test_gh13634_non_skew_symmetric_int(self):
self.check_exact(array([[1, 2], [-2, 99]], dtype=np.int32),
(2, 2, 4, 'array', 'integer', 'general'))
def test_gh13634_non_skew_symmetric_float(self):
self.check(array([[1, 2], [-2, 99.]], dtype=np.float32),
(2, 2, 4, 'array', 'real', 'general'))
class TestMMIOSparseCSR(TestMMIOArray):
def setup_method(self):
self.tmpdir = mkdtemp()
self.fn = os.path.join(self.tmpdir, 'testfile.mtx')
def teardown_method(self):
shutil.rmtree(self.tmpdir)
def check(self, a, info):
mmwrite(self.fn, a)
assert_equal(mminfo(self.fn), info)
b = mmread(self.fn)
assert_array_almost_equal(a.toarray(), b.toarray())
def check_exact(self, a, info):
mmwrite(self.fn, a)
assert_equal(mminfo(self.fn), info)
b = mmread(self.fn)
assert_equal(a.toarray(), b.toarray())
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_integer(self, typeval, dtype):
self.check_exact(scipy.sparse.csr_matrix([[1, 2], [3, 4]], dtype=dtype),
(2, 2, 4, 'coordinate', typeval, 'general'))
def test_32bit_integer(self):
a = scipy.sparse.csr_matrix(array([[2**31-1, -2**31+2],
[2**31-3, 2**31-4]],
dtype=np.int32))
self.check_exact(a, (2, 2, 4, 'coordinate', 'integer', 'general'))
def test_64bit_integer(self):
a = scipy.sparse.csr_matrix(array([[2**32+1, 2**32+1],
[-2**63+2, 2**63-2]],
dtype=np.int64))
if (np.intp(0).itemsize < 8):
assert_raises(OverflowError, mmwrite, self.fn, a)
else:
self.check_exact(a, (2, 2, 4, 'coordinate', 'integer', 'general'))
def test_32bit_unsigned_integer(self):
a = scipy.sparse.csr_matrix(array([[2**31-1, 2**31-2],
[2**31-3, 2**31-4]],
dtype=np.uint32))
self.check_exact(a, (2, 2, 4, 'coordinate', 'unsigned-integer', 'general'))
def test_64bit_unsigned_integer(self):
a = scipy.sparse.csr_matrix(array([[2**32+1, 2**32+1],
[2**64-2, 2**64-1]],
dtype=np.uint64))
self.check_exact(a, (2, 2, 4, 'coordinate', 'unsigned-integer', 'general'))
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_upper_triangle_integer(self, typeval, dtype):
self.check_exact(scipy.sparse.csr_matrix([[0, 1], [0, 0]], dtype=dtype),
(2, 2, 1, 'coordinate', typeval, 'general'))
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_lower_triangle_integer(self, typeval, dtype):
self.check_exact(scipy.sparse.csr_matrix([[0, 0], [1, 0]], dtype=dtype),
(2, 2, 1, 'coordinate', typeval, 'general'))
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_rectangular_integer(self, typeval, dtype):
self.check_exact(scipy.sparse.csr_matrix([[1, 2, 3], [4, 5, 6]], dtype=dtype),
(2, 3, 6, 'coordinate', typeval, 'general'))
def test_simple_rectangular_float(self):
self.check(scipy.sparse.csr_matrix([[1, 2], [3.5, 4], [5, 6]]),
(3, 2, 6, 'coordinate', 'real', 'general'))
def test_simple_float(self):
self.check(scipy.sparse.csr_matrix([[1, 2], [3, 4.0]]),
(2, 2, 4, 'coordinate', 'real', 'general'))
def test_simple_complex(self):
self.check(scipy.sparse.csr_matrix([[1, 2], [3, 4j]]),
(2, 2, 4, 'coordinate', 'complex', 'general'))
@pytest.mark.parametrize('typeval, dtype', parametrize_args)
def test_simple_symmetric_integer(self, typeval, dtype):
self.check_exact(scipy.sparse.csr_matrix([[1, 2], [2, 4]], dtype=dtype),
(2, 2, 3, 'coordinate', typeval, 'symmetric'))
def test_simple_skew_symmetric_integer(self):
self.check_exact(scipy.sparse.csr_matrix([[0, 2], [-2, 0]]),
(2, 2, 1, 'coordinate', 'integer', 'skew-symmetric'))
def test_simple_skew_symmetric_float(self):
self.check(scipy.sparse.csr_matrix(array([[0, 2], [-2.0, 0]], 'f')),
(2, 2, 1, 'coordinate', 'real', 'skew-symmetric'))
def test_simple_hermitian_complex(self):
self.check(scipy.sparse.csr_matrix([[1, 2+3j], [2-3j, 4]]),
(2, 2, 3, 'coordinate', 'complex', 'hermitian'))
def test_random_symmetric_float(self):
sz = (20, 20)
a = np.random.random(sz)
a = a + transpose(a)
a = scipy.sparse.csr_matrix(a)
self.check(a, (20, 20, 210, 'coordinate', 'real', 'symmetric'))
def test_random_rectangular_float(self):
sz = (20, 15)
a = np.random.random(sz)
a = scipy.sparse.csr_matrix(a)
self.check(a, (20, 15, 300, 'coordinate', 'real', 'general'))
def test_simple_pattern(self):
a = scipy.sparse.csr_matrix([[0, 1.5], [3.0, 2.5]])
p = np.zeros_like(a.toarray())
p[a.toarray() > 0] = 1
info = (2, 2, 3, 'coordinate', 'pattern', 'general')
mmwrite(self.fn, a, field='pattern')
assert_equal(mminfo(self.fn), info)
b = mmread(self.fn)
assert_array_almost_equal(p, b.toarray())
def test_gh13634_non_skew_symmetric_int(self):
a = scipy.sparse.csr_matrix([[1, 2], [-2, 99]], dtype=np.int32)
self.check_exact(a, (2, 2, 4, 'coordinate', 'integer', 'general'))
def test_gh13634_non_skew_symmetric_float(self):
a = scipy.sparse.csr_matrix([[1, 2], [-2, 99.]], dtype=np.float32)
self.check(a, (2, 2, 4, 'coordinate', 'real', 'general'))
_32bit_integer_dense_example = '''\
%%MatrixMarket matrix array integer general
2 2
2147483647
2147483646
2147483647
2147483646
'''
_32bit_integer_sparse_example = '''\
%%MatrixMarket matrix coordinate integer symmetric
2 2 2
1 1 2147483647
2 2 2147483646
'''
_64bit_integer_dense_example = '''\
%%MatrixMarket matrix array integer general
2 2
2147483648
-9223372036854775806
-2147483648
9223372036854775807
'''
_64bit_integer_sparse_general_example = '''\
%%MatrixMarket matrix coordinate integer general
2 2 3
1 1 2147483648
1 2 9223372036854775807
2 2 9223372036854775807
'''
_64bit_integer_sparse_symmetric_example = '''\
%%MatrixMarket matrix coordinate integer symmetric
2 2 3
1 1 2147483648
1 2 -9223372036854775807
2 2 9223372036854775807
'''
_64bit_integer_sparse_skew_example = '''\
%%MatrixMarket matrix coordinate integer skew-symmetric
2 2 3
1 1 2147483648
1 2 -9223372036854775807
2 2 9223372036854775807
'''
_over64bit_integer_dense_example = '''\
%%MatrixMarket matrix array integer general
2 2
2147483648
9223372036854775807
2147483648
9223372036854775808
'''
_over64bit_integer_sparse_example = '''\
%%MatrixMarket matrix coordinate integer symmetric
2 2 2
1 1 2147483648
2 2 19223372036854775808
'''
class TestMMIOReadLargeIntegers:
def setup_method(self):
self.tmpdir = mkdtemp()
self.fn = os.path.join(self.tmpdir, 'testfile.mtx')
def teardown_method(self):
shutil.rmtree(self.tmpdir)
def check_read(self, example, a, info, dense, over32, over64):
with open(self.fn, 'w') as f:
f.write(example)
assert_equal(mminfo(self.fn), info)
if (over32 and (np.intp(0).itemsize < 8)) or over64:
assert_raises(OverflowError, mmread, self.fn)
else:
b = mmread(self.fn)
if not dense:
b = b.toarray()
assert_equal(a, b)
def test_read_32bit_integer_dense(self):
a = array([[2**31-1, 2**31-1],
[2**31-2, 2**31-2]], dtype=np.int64)
self.check_read(_32bit_integer_dense_example,
a,
(2, 2, 4, 'array', 'integer', 'general'),
dense=True,
over32=False,
over64=False)
def test_read_32bit_integer_sparse(self):
a = array([[2**31-1, 0],
[0, 2**31-2]], dtype=np.int64)
self.check_read(_32bit_integer_sparse_example,
a,
(2, 2, 2, 'coordinate', 'integer', 'symmetric'),
dense=False,
over32=False,
over64=False)
def test_read_64bit_integer_dense(self):
a = array([[2**31, -2**31],
[-2**63+2, 2**63-1]], dtype=np.int64)
self.check_read(_64bit_integer_dense_example,
a,
(2, 2, 4, 'array', 'integer', 'general'),
dense=True,
over32=True,
over64=False)
def test_read_64bit_integer_sparse_general(self):
a = array([[2**31, 2**63-1],
[0, 2**63-1]], dtype=np.int64)
self.check_read(_64bit_integer_sparse_general_example,
a,
(2, 2, 3, 'coordinate', 'integer', 'general'),
dense=False,
over32=True,
over64=False)
def test_read_64bit_integer_sparse_symmetric(self):
a = array([[2**31, -2**63+1],
[-2**63+1, 2**63-1]], dtype=np.int64)
self.check_read(_64bit_integer_sparse_symmetric_example,
a,
(2, 2, 3, 'coordinate', 'integer', 'symmetric'),
dense=False,
over32=True,
over64=False)
def test_read_64bit_integer_sparse_skew(self):
a = array([[2**31, -2**63+1],
[2**63-1, 2**63-1]], dtype=np.int64)
self.check_read(_64bit_integer_sparse_skew_example,
a,
(2, 2, 3, 'coordinate', 'integer', 'skew-symmetric'),
dense=False,
over32=True,
over64=False)
def test_read_over64bit_integer_dense(self):
self.check_read(_over64bit_integer_dense_example,
None,
(2, 2, 4, 'array', 'integer', 'general'),
dense=True,
over32=True,
over64=True)
def test_read_over64bit_integer_sparse(self):
self.check_read(_over64bit_integer_sparse_example,
None,
(2, 2, 2, 'coordinate', 'integer', 'symmetric'),
dense=False,
over32=True,
over64=True)
_general_example = '''\
%%MatrixMarket matrix coordinate real general
%=================================================================================
%
% This ASCII file represents a sparse MxN matrix with L
% nonzeros in the following Matrix Market format:
%
% +----------------------------------------------+
% |%%MatrixMarket matrix coordinate real general | <--- header line
% |% | <--+
% |% comments | |-- 0 or more comment lines
% |% | <--+
% | M N L | <--- rows, columns, entries
% | I1 J1 A(I1, J1) | <--+
% | I2 J2 A(I2, J2) | |
% | I3 J3 A(I3, J3) | |-- L lines
% | . . . | |
% | IL JL A(IL, JL) | <--+
% +----------------------------------------------+
%
% Indices are 1-based, i.e. A(1,1) is the first element.
%
%=================================================================================
5 5 8
1 1 1.000e+00
2 2 1.050e+01
3 3 1.500e-02
1 4 6.000e+00
4 2 2.505e+02
4 4 -2.800e+02
4 5 3.332e+01
5 5 1.200e+01
'''
_hermitian_example = '''\
%%MatrixMarket matrix coordinate complex hermitian
5 5 7
1 1 1.0 0
2 2 10.5 0
4 2 250.5 22.22
3 3 1.5e-2 0
4 4 -2.8e2 0
5 5 12. 0
5 4 0 33.32
'''
_skew_example = '''\
%%MatrixMarket matrix coordinate real skew-symmetric
5 5 7
1 1 1.0
2 2 10.5
4 2 250.5
3 3 1.5e-2
4 4 -2.8e2
5 5 12.
5 4 0
'''
_symmetric_example = '''\
%%MatrixMarket matrix coordinate real symmetric
5 5 7
1 1 1.0
2 2 10.5
4 2 250.5
3 3 1.5e-2
4 4 -2.8e2
5 5 12.
5 4 8
'''
_symmetric_pattern_example = '''\
%%MatrixMarket matrix coordinate pattern symmetric
5 5 7
1 1
2 2
4 2
3 3
4 4
5 5
5 4
'''
# example (without comment lines) from Figure 1 in
# https://math.nist.gov/MatrixMarket/reports/MMformat.ps
_empty_lines_example = '''\
%%MatrixMarket MATRIX Coordinate Real General
5 5 8
1 1 1.0
2 2 10.5
3 3 1.5e-2
4 4 -2.8E2
5 5 12.
1 4 6
4 2 250.5
4 5 33.32
'''
class TestMMIOCoordinate:
def setup_method(self):
self.tmpdir = mkdtemp()
self.fn = os.path.join(self.tmpdir, 'testfile.mtx')
def teardown_method(self):
shutil.rmtree(self.tmpdir)
def check_read(self, example, a, info):
f = open(self.fn, 'w')
f.write(example)
f.close()
assert_equal(mminfo(self.fn), info)
b = mmread(self.fn).toarray()
assert_array_almost_equal(a, b)
def test_read_general(self):
a = [[1, 0, 0, 6, 0],
[0, 10.5, 0, 0, 0],
[0, 0, .015, 0, 0],
[0, 250.5, 0, -280, 33.32],
[0, 0, 0, 0, 12]]
self.check_read(_general_example, a,
(5, 5, 8, 'coordinate', 'real', 'general'))
def test_read_hermitian(self):
a = [[1, 0, 0, 0, 0],
[0, 10.5, 0, 250.5 - 22.22j, 0],
[0, 0, .015, 0, 0],
[0, 250.5 + 22.22j, 0, -280, -33.32j],
[0, 0, 0, 33.32j, 12]]
self.check_read(_hermitian_example, a,
(5, 5, 7, 'coordinate', 'complex', 'hermitian'))
def test_read_skew(self):
a = [[1, 0, 0, 0, 0],
[0, 10.5, 0, -250.5, 0],
[0, 0, .015, 0, 0],
[0, 250.5, 0, -280, 0],
[0, 0, 0, 0, 12]]
self.check_read(_skew_example, a,
(5, 5, 7, 'coordinate', 'real', 'skew-symmetric'))
def test_read_symmetric(self):
a = [[1, 0, 0, 0, 0],
[0, 10.5, 0, 250.5, 0],
[0, 0, .015, 0, 0],
[0, 250.5, 0, -280, 8],
[0, 0, 0, 8, 12]]
self.check_read(_symmetric_example, a,
(5, 5, 7, 'coordinate', 'real', 'symmetric'))
def test_read_symmetric_pattern(self):
a = [[1, 0, 0, 0, 0],
[0, 1, 0, 1, 0],
[0, 0, 1, 0, 0],
[0, 1, 0, 1, 1],
[0, 0, 0, 1, 1]]
self.check_read(_symmetric_pattern_example, a,
(5, 5, 7, 'coordinate', 'pattern', 'symmetric'))
def test_read_empty_lines(self):
a = [[1, 0, 0, 6, 0],
[0, 10.5, 0, 0, 0],
[0, 0, .015, 0, 0],
[0, 250.5, 0, -280, 33.32],
[0, 0, 0, 0, 12]]
self.check_read(_empty_lines_example, a,
(5, 5, 8, 'coordinate', 'real', 'general'))
def test_empty_write_read(self):
# https://github.com/scipy/scipy/issues/1410 (Trac #883)
b = scipy.sparse.coo_matrix((10, 10))
mmwrite(self.fn, b)
assert_equal(mminfo(self.fn),
(10, 10, 0, 'coordinate', 'real', 'symmetric'))
a = b.toarray()
b = mmread(self.fn).toarray()
assert_array_almost_equal(a, b)
def test_bzip2_py3(self):
# test if fix for #2152 works
try:
# bz2 module isn't always built when building Python.
import bz2
except ImportError:
return
I = array([0, 0, 1, 2, 3, 3, 3, 4])
J = array([0, 3, 1, 2, 1, 3, 4, 4])
V = array([1.0, 6.0, 10.5, 0.015, 250.5, -280.0, 33.32, 12.0])
b = scipy.sparse.coo_matrix((V, (I, J)), shape=(5, 5))
mmwrite(self.fn, b)
fn_bzip2 = "%s.bz2" % self.fn
with open(self.fn, 'rb') as f_in:
f_out = bz2.BZ2File(fn_bzip2, 'wb')
f_out.write(f_in.read())
f_out.close()
a = mmread(fn_bzip2).toarray()
assert_array_almost_equal(a, b.toarray())
def test_gzip_py3(self):
# test if fix for #2152 works
try:
# gzip module can be missing from Python installation
import gzip
except ImportError:
return
I = array([0, 0, 1, 2, 3, 3, 3, 4])
J = array([0, 3, 1, 2, 1, 3, 4, 4])
V = array([1.0, 6.0, 10.5, 0.015, 250.5, -280.0, 33.32, 12.0])
b = scipy.sparse.coo_matrix((V, (I, J)), shape=(5, 5))
mmwrite(self.fn, b)
fn_gzip = "%s.gz" % self.fn
with open(self.fn, 'rb') as f_in:
f_out = gzip.open(fn_gzip, 'wb')
f_out.write(f_in.read())
f_out.close()
a = mmread(fn_gzip).toarray()
assert_array_almost_equal(a, b.toarray())
def test_real_write_read(self):
I = array([0, 0, 1, 2, 3, 3, 3, 4])
J = array([0, 3, 1, 2, 1, 3, 4, 4])
V = array([1.0, 6.0, 10.5, 0.015, 250.5, -280.0, 33.32, 12.0])
b = scipy.sparse.coo_matrix((V, (I, J)), shape=(5, 5))
mmwrite(self.fn, b)
assert_equal(mminfo(self.fn),
(5, 5, 8, 'coordinate', 'real', 'general'))
a = b.toarray()
b = mmread(self.fn).toarray()
assert_array_almost_equal(a, b)
def test_complex_write_read(self):
I = array([0, 0, 1, 2, 3, 3, 3, 4])
J = array([0, 3, 1, 2, 1, 3, 4, 4])
V = array([1.0 + 3j, 6.0 + 2j, 10.50 + 0.9j, 0.015 + -4.4j,
250.5 + 0j, -280.0 + 5j, 33.32 + 6.4j, 12.00 + 0.8j])
b = scipy.sparse.coo_matrix((V, (I, J)), shape=(5, 5))
mmwrite(self.fn, b)
assert_equal(mminfo(self.fn),
(5, 5, 8, 'coordinate', 'complex', 'general'))
a = b.toarray()
b = mmread(self.fn).toarray()
assert_array_almost_equal(a, b)
def test_sparse_formats(self, tmp_path):
# Note: `tmp_path` is a pytest fixture, it handles cleanup
tmpdir = tmp_path / 'sparse_formats'
tmpdir.mkdir()
mats = []
I = array([0, 0, 1, 2, 3, 3, 3, 4])
J = array([0, 3, 1, 2, 1, 3, 4, 4])
V = array([1.0, 6.0, 10.5, 0.015, 250.5, -280.0, 33.32, 12.0])
mats.append(scipy.sparse.coo_matrix((V, (I, J)), shape=(5, 5)))
V = array([1.0 + 3j, 6.0 + 2j, 10.50 + 0.9j, 0.015 + -4.4j,
250.5 + 0j, -280.0 + 5j, 33.32 + 6.4j, 12.00 + 0.8j])
mats.append(scipy.sparse.coo_matrix((V, (I, J)), shape=(5, 5)))
for mat in mats:
expected = mat.toarray()
for fmt in ['csr', 'csc', 'coo']:
fname = tmpdir / (fmt + '.mtx')
mmwrite(fname, mat.asformat(fmt))
result = mmread(fname).toarray()
assert_array_almost_equal(result, expected)
def test_precision(self):
test_values = [pi] + [10**(i) for i in range(0, -10, -1)]
test_precisions = range(1, 10)
for value in test_values:
for precision in test_precisions:
# construct sparse matrix with test value at last main diagonal
n = 10**precision + 1
A = scipy.sparse.dok_matrix((n, n))
A[n-1, n-1] = value
# write matrix with test precision and read again
mmwrite(self.fn, A, precision=precision)
A = scipy.io.mmread(self.fn)
# check for right entries in matrix
assert_array_equal(A.row, [n-1])
assert_array_equal(A.col, [n-1])
assert_allclose(A.data, [float('%%.%dg' % precision % value)])
def test_bad_number_of_coordinate_header_fields(self):
s = """\
%%MatrixMarket matrix coordinate real general
5 5 8 999
1 1 1.000e+00
2 2 1.050e+01
3 3 1.500e-02
1 4 6.000e+00
4 2 2.505e+02
4 4 -2.800e+02
4 5 3.332e+01
5 5 1.200e+01
"""
text = textwrap.dedent(s).encode('ascii')
with pytest.raises(ValueError, match='not of length 3'):
scipy.io.mmread(io.BytesIO(text))
def test_gh11389():
mmread(io.StringIO("%%MatrixMarket matrix coordinate complex symmetric\n"
" 1 1 1\n"
"1 1 -2.1846000000000e+02 0.0000000000000e+00"))