peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/scipy
/io
/tests
/test_idl.py
from os import path | |
import warnings | |
import numpy as np | |
from numpy.testing import (assert_equal, assert_array_equal, | |
assert_, suppress_warnings) | |
import pytest | |
from scipy.io import readsav | |
from scipy.io import _idl | |
DATA_PATH = path.join(path.dirname(__file__), 'data') | |
def assert_identical(a, b): | |
"""Assert whether value AND type are the same""" | |
assert_equal(a, b) | |
if isinstance(b, str): | |
assert_equal(type(a), type(b)) | |
else: | |
assert_equal(np.asarray(a).dtype.type, np.asarray(b).dtype.type) | |
def assert_array_identical(a, b): | |
"""Assert whether values AND type are the same""" | |
assert_array_equal(a, b) | |
assert_equal(a.dtype.type, b.dtype.type) | |
# Define vectorized ID function for pointer arrays | |
vect_id = np.vectorize(id) | |
class TestIdict: | |
def test_idict(self): | |
custom_dict = {'a': np.int16(999)} | |
original_id = id(custom_dict) | |
s = readsav(path.join(DATA_PATH, 'scalar_byte.sav'), | |
idict=custom_dict, verbose=False) | |
assert_equal(original_id, id(s)) | |
assert_('a' in s) | |
assert_identical(s['a'], np.int16(999)) | |
assert_identical(s['i8u'], np.uint8(234)) | |
class TestScalars: | |
# Test that scalar values are read in with the correct value and type | |
def test_byte(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_byte.sav'), verbose=False) | |
assert_identical(s.i8u, np.uint8(234)) | |
def test_int16(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_int16.sav'), verbose=False) | |
assert_identical(s.i16s, np.int16(-23456)) | |
def test_int32(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_int32.sav'), verbose=False) | |
assert_identical(s.i32s, np.int32(-1234567890)) | |
def test_float32(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_float32.sav'), verbose=False) | |
assert_identical(s.f32, np.float32(-3.1234567e+37)) | |
def test_float64(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_float64.sav'), verbose=False) | |
assert_identical(s.f64, np.float64(-1.1976931348623157e+307)) | |
def test_complex32(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_complex32.sav'), verbose=False) | |
assert_identical(s.c32, np.complex64(3.124442e13-2.312442e31j)) | |
def test_bytes(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_string.sav'), verbose=False) | |
msg = "The quick brown fox jumps over the lazy python" | |
assert_identical(s.s, np.bytes_(msg)) | |
def test_structure(self): | |
pass | |
def test_complex64(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_complex64.sav'), verbose=False) | |
assert_identical( | |
s.c64, | |
np.complex128(1.1987253647623157e+112-5.1987258887729157e+307j) | |
) | |
def test_heap_pointer(self): | |
pass | |
def test_object_reference(self): | |
pass | |
def test_uint16(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_uint16.sav'), verbose=False) | |
assert_identical(s.i16u, np.uint16(65511)) | |
def test_uint32(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_uint32.sav'), verbose=False) | |
assert_identical(s.i32u, np.uint32(4294967233)) | |
def test_int64(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_int64.sav'), verbose=False) | |
assert_identical(s.i64s, np.int64(-9223372036854774567)) | |
def test_uint64(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_uint64.sav'), verbose=False) | |
assert_identical(s.i64u, np.uint64(18446744073709529285)) | |
class TestCompressed(TestScalars): | |
# Test that compressed .sav files can be read in | |
def test_compressed(self): | |
s = readsav(path.join(DATA_PATH, 'various_compressed.sav'), verbose=False) | |
assert_identical(s.i8u, np.uint8(234)) | |
assert_identical(s.f32, np.float32(-3.1234567e+37)) | |
assert_identical( | |
s.c64, | |
np.complex128(1.1987253647623157e+112-5.1987258887729157e+307j) | |
) | |
assert_equal(s.array5d.shape, (4, 3, 4, 6, 5)) | |
assert_identical(s.arrays.a[0], np.array([1, 2, 3], dtype=np.int16)) | |
assert_identical(s.arrays.b[0], np.array([4., 5., 6., 7.], dtype=np.float32)) | |
assert_identical(s.arrays.c[0], | |
np.array([np.complex64(1+2j), np.complex64(7+8j)])) | |
assert_identical(s.arrays.d[0], | |
np.array([b"cheese", b"bacon", b"spam"], dtype=object)) | |
class TestArrayDimensions: | |
# Test that multi-dimensional arrays are read in with the correct dimensions | |
def test_1d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_1d.sav'), verbose=False) | |
assert_equal(s.array1d.shape, (123, )) | |
def test_2d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_2d.sav'), verbose=False) | |
assert_equal(s.array2d.shape, (22, 12)) | |
def test_3d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_3d.sav'), verbose=False) | |
assert_equal(s.array3d.shape, (11, 22, 12)) | |
def test_4d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_4d.sav'), verbose=False) | |
assert_equal(s.array4d.shape, (4, 5, 8, 7)) | |
def test_5d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_5d.sav'), verbose=False) | |
assert_equal(s.array5d.shape, (4, 3, 4, 6, 5)) | |
def test_6d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_6d.sav'), verbose=False) | |
assert_equal(s.array6d.shape, (3, 6, 4, 5, 3, 4)) | |
def test_7d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_7d.sav'), verbose=False) | |
assert_equal(s.array7d.shape, (2, 1, 2, 3, 4, 3, 2)) | |
def test_8d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_8d.sav'), verbose=False) | |
assert_equal(s.array8d.shape, (4, 3, 2, 1, 2, 3, 5, 4)) | |
class TestStructures: | |
def test_scalars(self): | |
s = readsav(path.join(DATA_PATH, 'struct_scalars.sav'), verbose=False) | |
assert_identical(s.scalars.a, np.array(np.int16(1))) | |
assert_identical(s.scalars.b, np.array(np.int32(2))) | |
assert_identical(s.scalars.c, np.array(np.float32(3.))) | |
assert_identical(s.scalars.d, np.array(np.float64(4.))) | |
assert_identical(s.scalars.e, np.array([b"spam"], dtype=object)) | |
assert_identical(s.scalars.f, np.array(np.complex64(-1.+3j))) | |
def test_scalars_replicated(self): | |
s = readsav(path.join(DATA_PATH, 'struct_scalars_replicated.sav'), | |
verbose=False) | |
assert_identical(s.scalars_rep.a, np.repeat(np.int16(1), 5)) | |
assert_identical(s.scalars_rep.b, np.repeat(np.int32(2), 5)) | |
assert_identical(s.scalars_rep.c, np.repeat(np.float32(3.), 5)) | |
assert_identical(s.scalars_rep.d, np.repeat(np.float64(4.), 5)) | |
assert_identical(s.scalars_rep.e, np.repeat(b"spam", 5).astype(object)) | |
assert_identical(s.scalars_rep.f, np.repeat(np.complex64(-1.+3j), 5)) | |
def test_scalars_replicated_3d(self): | |
s = readsav(path.join(DATA_PATH, 'struct_scalars_replicated_3d.sav'), | |
verbose=False) | |
assert_identical(s.scalars_rep.a, np.repeat(np.int16(1), 24).reshape(4, 3, 2)) | |
assert_identical(s.scalars_rep.b, np.repeat(np.int32(2), 24).reshape(4, 3, 2)) | |
assert_identical(s.scalars_rep.c, | |
np.repeat(np.float32(3.), 24).reshape(4, 3, 2)) | |
assert_identical(s.scalars_rep.d, | |
np.repeat(np.float64(4.), 24).reshape(4, 3, 2)) | |
assert_identical(s.scalars_rep.e, | |
np.repeat(b"spam", 24).reshape(4, 3, 2).astype(object)) | |
assert_identical(s.scalars_rep.f, | |
np.repeat(np.complex64(-1.+3j), 24).reshape(4, 3, 2)) | |
def test_arrays(self): | |
s = readsav(path.join(DATA_PATH, 'struct_arrays.sav'), verbose=False) | |
assert_array_identical(s.arrays.a[0], np.array([1, 2, 3], dtype=np.int16)) | |
assert_array_identical(s.arrays.b[0], | |
np.array([4., 5., 6., 7.], dtype=np.float32)) | |
assert_array_identical(s.arrays.c[0], | |
np.array([np.complex64(1+2j), np.complex64(7+8j)])) | |
assert_array_identical(s.arrays.d[0], | |
np.array([b"cheese", b"bacon", b"spam"], dtype=object)) | |
def test_arrays_replicated(self): | |
s = readsav(path.join(DATA_PATH, 'struct_arrays_replicated.sav'), verbose=False) | |
# Check column types | |
assert_(s.arrays_rep.a.dtype.type is np.object_) | |
assert_(s.arrays_rep.b.dtype.type is np.object_) | |
assert_(s.arrays_rep.c.dtype.type is np.object_) | |
assert_(s.arrays_rep.d.dtype.type is np.object_) | |
# Check column shapes | |
assert_equal(s.arrays_rep.a.shape, (5, )) | |
assert_equal(s.arrays_rep.b.shape, (5, )) | |
assert_equal(s.arrays_rep.c.shape, (5, )) | |
assert_equal(s.arrays_rep.d.shape, (5, )) | |
# Check values | |
for i in range(5): | |
assert_array_identical(s.arrays_rep.a[i], | |
np.array([1, 2, 3], dtype=np.int16)) | |
assert_array_identical(s.arrays_rep.b[i], | |
np.array([4., 5., 6., 7.], dtype=np.float32)) | |
assert_array_identical(s.arrays_rep.c[i], | |
np.array([np.complex64(1+2j), | |
np.complex64(7+8j)])) | |
assert_array_identical(s.arrays_rep.d[i], | |
np.array([b"cheese", b"bacon", b"spam"], | |
dtype=object)) | |
def test_arrays_replicated_3d(self): | |
s = readsav(path.join(DATA_PATH, 'struct_arrays_replicated_3d.sav'), | |
verbose=False) | |
# Check column types | |
assert_(s.arrays_rep.a.dtype.type is np.object_) | |
assert_(s.arrays_rep.b.dtype.type is np.object_) | |
assert_(s.arrays_rep.c.dtype.type is np.object_) | |
assert_(s.arrays_rep.d.dtype.type is np.object_) | |
# Check column shapes | |
assert_equal(s.arrays_rep.a.shape, (4, 3, 2)) | |
assert_equal(s.arrays_rep.b.shape, (4, 3, 2)) | |
assert_equal(s.arrays_rep.c.shape, (4, 3, 2)) | |
assert_equal(s.arrays_rep.d.shape, (4, 3, 2)) | |
# Check values | |
for i in range(4): | |
for j in range(3): | |
for k in range(2): | |
assert_array_identical(s.arrays_rep.a[i, j, k], | |
np.array([1, 2, 3], dtype=np.int16)) | |
assert_array_identical(s.arrays_rep.b[i, j, k], | |
np.array([4., 5., 6., 7.], | |
dtype=np.float32)) | |
assert_array_identical(s.arrays_rep.c[i, j, k], | |
np.array([np.complex64(1+2j), | |
np.complex64(7+8j)])) | |
assert_array_identical(s.arrays_rep.d[i, j, k], | |
np.array([b"cheese", b"bacon", b"spam"], | |
dtype=object)) | |
def test_inheritance(self): | |
s = readsav(path.join(DATA_PATH, 'struct_inherit.sav'), verbose=False) | |
assert_identical(s.fc.x, np.array([0], dtype=np.int16)) | |
assert_identical(s.fc.y, np.array([0], dtype=np.int16)) | |
assert_identical(s.fc.r, np.array([0], dtype=np.int16)) | |
assert_identical(s.fc.c, np.array([4], dtype=np.int16)) | |
def test_arrays_corrupt_idl80(self): | |
# test byte arrays with missing nbyte information from IDL 8.0 .sav file | |
with suppress_warnings() as sup: | |
sup.filter(UserWarning, "Not able to verify number of bytes from header") | |
s = readsav(path.join(DATA_PATH,'struct_arrays_byte_idl80.sav'), | |
verbose=False) | |
assert_identical(s.y.x[0], np.array([55,66], dtype=np.uint8)) | |
class TestPointers: | |
# Check that pointers in .sav files produce references to the same object in Python | |
def test_pointers(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_heap_pointer.sav'), verbose=False) | |
assert_identical( | |
s.c64_pointer1, | |
np.complex128(1.1987253647623157e+112-5.1987258887729157e+307j) | |
) | |
assert_identical( | |
s.c64_pointer2, | |
np.complex128(1.1987253647623157e+112-5.1987258887729157e+307j) | |
) | |
assert_(s.c64_pointer1 is s.c64_pointer2) | |
class TestPointerArray: | |
# Test that pointers in arrays are correctly read in | |
def test_1d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_pointer_1d.sav'), verbose=False) | |
assert_equal(s.array1d.shape, (123, )) | |
assert_(np.all(s.array1d == np.float32(4.))) | |
assert_(np.all(vect_id(s.array1d) == id(s.array1d[0]))) | |
def test_2d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_pointer_2d.sav'), verbose=False) | |
assert_equal(s.array2d.shape, (22, 12)) | |
assert_(np.all(s.array2d == np.float32(4.))) | |
assert_(np.all(vect_id(s.array2d) == id(s.array2d[0,0]))) | |
def test_3d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_pointer_3d.sav'), verbose=False) | |
assert_equal(s.array3d.shape, (11, 22, 12)) | |
assert_(np.all(s.array3d == np.float32(4.))) | |
assert_(np.all(vect_id(s.array3d) == id(s.array3d[0,0,0]))) | |
def test_4d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_pointer_4d.sav'), verbose=False) | |
assert_equal(s.array4d.shape, (4, 5, 8, 7)) | |
assert_(np.all(s.array4d == np.float32(4.))) | |
assert_(np.all(vect_id(s.array4d) == id(s.array4d[0,0,0,0]))) | |
def test_5d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_pointer_5d.sav'), verbose=False) | |
assert_equal(s.array5d.shape, (4, 3, 4, 6, 5)) | |
assert_(np.all(s.array5d == np.float32(4.))) | |
assert_(np.all(vect_id(s.array5d) == id(s.array5d[0,0,0,0,0]))) | |
def test_6d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_pointer_6d.sav'), verbose=False) | |
assert_equal(s.array6d.shape, (3, 6, 4, 5, 3, 4)) | |
assert_(np.all(s.array6d == np.float32(4.))) | |
assert_(np.all(vect_id(s.array6d) == id(s.array6d[0,0,0,0,0,0]))) | |
def test_7d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_pointer_7d.sav'), verbose=False) | |
assert_equal(s.array7d.shape, (2, 1, 2, 3, 4, 3, 2)) | |
assert_(np.all(s.array7d == np.float32(4.))) | |
assert_(np.all(vect_id(s.array7d) == id(s.array7d[0,0,0,0,0,0,0]))) | |
def test_8d(self): | |
s = readsav(path.join(DATA_PATH, 'array_float32_pointer_8d.sav'), verbose=False) | |
assert_equal(s.array8d.shape, (4, 3, 2, 1, 2, 3, 5, 4)) | |
assert_(np.all(s.array8d == np.float32(4.))) | |
assert_(np.all(vect_id(s.array8d) == id(s.array8d[0,0,0,0,0,0,0,0]))) | |
class TestPointerStructures: | |
# Test that structures are correctly read in | |
def test_scalars(self): | |
s = readsav(path.join(DATA_PATH, 'struct_pointers.sav'), verbose=False) | |
assert_identical(s.pointers.g, np.array(np.float32(4.), dtype=np.object_)) | |
assert_identical(s.pointers.h, np.array(np.float32(4.), dtype=np.object_)) | |
assert_(id(s.pointers.g[0]) == id(s.pointers.h[0])) | |
def test_pointers_replicated(self): | |
s = readsav(path.join(DATA_PATH, 'struct_pointers_replicated.sav'), | |
verbose=False) | |
assert_identical(s.pointers_rep.g, | |
np.repeat(np.float32(4.), 5).astype(np.object_)) | |
assert_identical(s.pointers_rep.h, | |
np.repeat(np.float32(4.), 5).astype(np.object_)) | |
assert_(np.all(vect_id(s.pointers_rep.g) == vect_id(s.pointers_rep.h))) | |
def test_pointers_replicated_3d(self): | |
s = readsav(path.join(DATA_PATH, 'struct_pointers_replicated_3d.sav'), | |
verbose=False) | |
s_expect = np.repeat(np.float32(4.), 24).reshape(4, 3, 2).astype(np.object_) | |
assert_identical(s.pointers_rep.g, s_expect) | |
assert_identical(s.pointers_rep.h, s_expect) | |
assert_(np.all(vect_id(s.pointers_rep.g) == vect_id(s.pointers_rep.h))) | |
def test_arrays(self): | |
s = readsav(path.join(DATA_PATH, 'struct_pointer_arrays.sav'), verbose=False) | |
assert_array_identical(s.arrays.g[0], | |
np.repeat(np.float32(4.), 2).astype(np.object_)) | |
assert_array_identical(s.arrays.h[0], | |
np.repeat(np.float32(4.), 3).astype(np.object_)) | |
assert_(np.all(vect_id(s.arrays.g[0]) == id(s.arrays.g[0][0]))) | |
assert_(np.all(vect_id(s.arrays.h[0]) == id(s.arrays.h[0][0]))) | |
assert_(id(s.arrays.g[0][0]) == id(s.arrays.h[0][0])) | |
def test_arrays_replicated(self): | |
s = readsav(path.join(DATA_PATH, 'struct_pointer_arrays_replicated.sav'), | |
verbose=False) | |
# Check column types | |
assert_(s.arrays_rep.g.dtype.type is np.object_) | |
assert_(s.arrays_rep.h.dtype.type is np.object_) | |
# Check column shapes | |
assert_equal(s.arrays_rep.g.shape, (5, )) | |
assert_equal(s.arrays_rep.h.shape, (5, )) | |
# Check values | |
for i in range(5): | |
assert_array_identical(s.arrays_rep.g[i], | |
np.repeat(np.float32(4.), 2).astype(np.object_)) | |
assert_array_identical(s.arrays_rep.h[i], | |
np.repeat(np.float32(4.), 3).astype(np.object_)) | |
assert_(np.all(vect_id(s.arrays_rep.g[i]) == id(s.arrays_rep.g[0][0]))) | |
assert_(np.all(vect_id(s.arrays_rep.h[i]) == id(s.arrays_rep.h[0][0]))) | |
def test_arrays_replicated_3d(self): | |
pth = path.join(DATA_PATH, 'struct_pointer_arrays_replicated_3d.sav') | |
s = readsav(pth, verbose=False) | |
# Check column types | |
assert_(s.arrays_rep.g.dtype.type is np.object_) | |
assert_(s.arrays_rep.h.dtype.type is np.object_) | |
# Check column shapes | |
assert_equal(s.arrays_rep.g.shape, (4, 3, 2)) | |
assert_equal(s.arrays_rep.h.shape, (4, 3, 2)) | |
# Check values | |
for i in range(4): | |
for j in range(3): | |
for k in range(2): | |
assert_array_identical(s.arrays_rep.g[i, j, k], | |
np.repeat(np.float32(4.), 2).astype(np.object_)) | |
assert_array_identical(s.arrays_rep.h[i, j, k], | |
np.repeat(np.float32(4.), 3).astype(np.object_)) | |
g0 = vect_id(s.arrays_rep.g[i, j, k]) | |
g1 = id(s.arrays_rep.g[0, 0, 0][0]) | |
assert np.all(g0 == g1) | |
h0 = vect_id(s.arrays_rep.h[i, j, k]) | |
h1 = id(s.arrays_rep.h[0, 0, 0][0]) | |
assert np.all(h0 == h1) | |
class TestTags: | |
'''Test that sav files with description tag read at all''' | |
def test_description(self): | |
s = readsav(path.join(DATA_PATH, 'scalar_byte_descr.sav'), verbose=False) | |
assert_identical(s.i8u, np.uint8(234)) | |
def test_null_pointer(): | |
# Regression test for null pointers. | |
s = readsav(path.join(DATA_PATH, 'null_pointer.sav'), verbose=False) | |
assert_identical(s.point, None) | |
assert_identical(s.check, np.int16(5)) | |
def test_invalid_pointer(): | |
# Regression test for invalid pointers (gh-4613). | |
# In some files in the wild, pointers can sometimes refer to a heap | |
# variable that does not exist. In that case, we now gracefully fail for | |
# that variable and replace the variable with None and emit a warning. | |
# Since it's difficult to artificially produce such files, the file used | |
# here has been edited to force the pointer reference to be invalid. | |
with warnings.catch_warnings(record=True) as w: | |
warnings.simplefilter("always") | |
s = readsav(path.join(DATA_PATH, 'invalid_pointer.sav'), verbose=False) | |
assert_(len(w) == 1) | |
assert_(str(w[0].message) == ("Variable referenced by pointer not found in " | |
"heap: variable will be set to None")) | |
assert_identical(s['a'], np.array([None, None])) | |
def test_attrdict(): | |
d = _idl.AttrDict({'one': 1}) | |
assert d['one'] == 1 | |
assert d.one == 1 | |
with pytest.raises(KeyError): | |
d['two'] | |
with pytest.raises(AttributeError, match='has no attribute'): | |
d.two | |