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import sys
import numpy as np
from .. import util
def check_header(header, rh):
for k in header:
v = header[k]
rv = rh[k]
if isinstance(rv, str):
v = v.strip()
rv = rv.strip()
assert v == rv, "testing equal key '%s'" % k
def compare_headerlist_header(header_list, header):
"""
The first is a list of dicts, second a FITSHDR
"""
for entry in header_list:
name = entry['name'].upper()
value = entry['value']
hvalue = header[name]
if isinstance(hvalue, str):
hvalue = hvalue.strip()
assert value == hvalue, "testing header key '%s'" % name
if 'comment' in entry:
assert (
entry['comment'].strip() == header.get_comment(name).strip()
), "testing comment for header key '%s'" % name
def cast_shape(shape):
if len(shape) == 2 and shape[1] == 1:
return (shape[0],)
elif shape == (1,):
return tuple()
else:
return shape
def compare_array(arr1, arr2, name):
arr1_shape = cast_shape(arr1.shape)
arr2_shape = cast_shape(arr2.shape)
assert arr1_shape == arr2_shape, (
"testing arrays '%s' shapes are equal: "
"input %s, read: %s" % (name, arr1_shape, arr2_shape)
)
if sys.version_info >= (3, 0, 0) and arr1.dtype.char == 'S':
_arr1 = arr1.astype('U')
else:
_arr1 = arr1
res = np.where(_arr1 != arr2)
for i, w in enumerate(res):
assert w.size == 0, "testing array '%s' dim %d are equal" % (name, i)
def compare_array_tol(arr1, arr2, tol, name):
assert arr1.shape == arr2.shape, (
"testing arrays '%s' shapes are equal: "
"input %s, read: %s" % (name, arr1.shape, arr2.shape)
)
adiff = np.abs((arr1 - arr2) / arr1)
maxdiff = adiff.max()
res = np.where(adiff > tol)
for i, w in enumerate(res):
assert w.size == 0, (
"testing array '%s' dim %d are "
"equal within tolerance %e, found "
"max diff %e" % (name, i, tol, maxdiff)
)
def compare_array_abstol(arr1, arr2, tol, name):
assert arr1.shape == arr2.shape, (
"testing arrays '%s' shapes are equal: "
"input %s, read: %s" % (name, arr1.shape, arr2.shape)
)
adiff = np.abs(arr1 - arr2)
maxdiff = adiff.max()
res = np.where(adiff > tol)
for i, w in enumerate(res):
assert w.size == 0, (
"testing array '%s' dim %d are "
"equal within tolerance %e, found "
"max diff %e" % (name, i, tol, maxdiff)
)
def compare_object_array(arr1, arr2, name, rows=None):
"""
The first must be object
"""
if rows is None:
rows = np.arange(arr1.size)
for i, row in enumerate(rows):
if (
sys.version_info >= (3, 0, 0) and isinstance(arr2[i], bytes)
) or isinstance(arr2[i], str):
if sys.version_info >= (3, 0, 0) and isinstance(arr1[row], bytes):
_arr1row = arr1[row].decode('ascii')
else:
_arr1row = arr1[row]
assert _arr1row == arr2[i], "%s str el %d equal" % (name, i)
else:
delement = arr2[i]
orig = arr1[row]
s = len(orig)
compare_array(
orig, delement[0:s], "%s num el %d equal" % (name, i)
)
def compare_rec(rec1, rec2, name):
for f in rec1.dtype.names:
rec1_shape = cast_shape(rec1[f].shape)
rec2_shape = cast_shape(rec2[f].shape)
assert rec1_shape == rec2_shape, (
"testing '%s' field '%s' shapes are equal: "
"input %s, read: %s" % (name, f, rec1_shape, rec2_shape)
)
if sys.version_info >= (3, 0, 0) and rec1[f].dtype.char == 'S':
# for python 3, we get back unicode always
_rec1f = rec1[f].astype('U')
else:
_rec1f = rec1[f]
assert np.all(_rec1f == rec2[f])
# res = np.where(_rec1f != rec2[f])
# for w in res:
# assert w.size == 0, "testing column %s" % f
def compare_rec_subrows(rec1, rec2, rows, name):
for f in rec1.dtype.names:
rec1_shape = cast_shape(rec1[f][rows].shape)
rec2_shape = cast_shape(rec2[f].shape)
assert rec1_shape == rec2_shape, (
"testing '%s' field '%s' shapes are equal: "
"input %s, read: %s" % (name, f, rec1_shape, rec2_shape)
)
if sys.version_info >= (3, 0, 0) and rec1[f].dtype.char == 'S':
# for python 3, we get back unicode always
_rec1frows = rec1[f][rows].astype('U')
else:
_rec1frows = rec1[f][rows]
res = np.where(_rec1frows != rec2[f])
for w in res:
assert w.size == 0, "testing column %s" % f
def compare_rec_with_var(rec1, rec2, name, rows=None):
"""
First one *must* be the one with object arrays
Second can have fixed length
both should be same number of rows
"""
if rows is None:
rows = np.arange(rec2.size)
assert rec1.size == rec2.size, (
"testing '%s' same number of rows" % name
)
# rec2 may have fewer fields
for f in rec2.dtype.names:
# f1 will have the objects
if util.is_object(rec1[f]):
compare_object_array(
rec1[f],
rec2[f],
"testing '%s' field '%s'" % (name, f),
rows=rows,
)
else:
compare_array(
rec1[f][rows],
rec2[f],
"testing '%s' num field '%s' equal" % (name, f),
)
def compare_names(read_names, true_names, lower=False, upper=False):
for nread, ntrue in zip(read_names, true_names):
if lower:
tname = ntrue.lower()
mess = "lower: '%s' vs '%s'" % (nread, tname)
else:
tname = ntrue.upper()
mess = "upper: '%s' vs '%s'" % (nread, tname)
assert nread == tname, mess
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