def test_normalise1():
# normalisation of anisotropic locations, clipping
doc = DesignSpaceDocument()
# write some axes
a1 = AxisDescriptor()
a1.minimum = -1000
a1.maximum = 1000
a1.default = 0
a1.name = "axisName_a"
a1.tag = "TAGA"
doc.addAxis(a1)
assert doc.normalizeLocation(dict(axisName_a=0)) == {'axisName_a': 0.0}
assert doc.normalizeLocation(dict(axisName_a=1000)) == {'axisName_a': 1.0}
# clipping beyond max values:
assert doc.normalizeLocation(dict(axisName_a=1001)) == {'axisName_a': 1.0}
assert doc.normalizeLocation(dict(axisName_a=500)) == {'axisName_a': 0.5}
assert doc.normalizeLocation(dict(axisName_a=-1000)) == {'axisName_a': -1.0}
assert doc.normalizeLocation(dict(axisName_a=-1001)) == {'axisName_a': -1.0}
# anisotropic coordinates normalise to isotropic
assert doc.normalizeLocation(dict(axisName_a=(1000, -1000))) == {'axisName_a': 1.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('axisName_a', -1.0, 0.0, 1.0)]
def test_normalise2():
# normalisation with minimum > 0
doc = DesignSpaceDocument()
# write some axes
a2 = AxisDescriptor()
a2.minimum = 100
a2.maximum = 1000
a2.default = 100
a2.name = "axisName_b"
doc.addAxis(a2)
assert doc.normalizeLocation(dict(axisName_b=0)) == {'axisName_b': 0.0}
assert doc.normalizeLocation(dict(axisName_b=1000)) == {'axisName_b': 1.0}
# clipping beyond max values:
assert doc.normalizeLocation(dict(axisName_b=1001)) == {'axisName_b': 1.0}
assert doc.normalizeLocation(dict(axisName_b=500)) == {'axisName_b': 0.4444444444444444}
assert doc.normalizeLocation(dict(axisName_b=-1000)) == {'axisName_b': 0.0}
assert doc.normalizeLocation(dict(axisName_b=-1001)) == {'axisName_b': 0.0}
# anisotropic coordinates normalise to isotropic
assert doc.normalizeLocation(dict(axisName_b=(1000,-1000))) == {'axisName_b': 1.0}
assert doc.normalizeLocation(dict(axisName_b=1001)) == {'axisName_b': 1.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('axisName_b', 0.0, 0.0, 1.0)]
def test_normalise1():
# normalisation of anisotropic locations, clipping
doc = DesignSpaceDocument()
# write some axes
a1 = AxisDescriptor()
a1.minimum = -1000
a1.maximum = 1000
a1.default = 0
a1.name = "axisName_a"
a1.tag = "TAGA"
doc.addAxis(a1)
assert doc.normalizeLocation(dict(axisName_a=0)) == {'axisName_a': 0.0}
assert doc.normalizeLocation(dict(axisName_a=1000)) == {'axisName_a': 1.0}
# clipping beyond max values:
assert doc.normalizeLocation(dict(axisName_a=1001)) == {'axisName_a': 1.0}
assert doc.normalizeLocation(dict(axisName_a=500)) == {'axisName_a': 0.5}
assert doc.normalizeLocation(dict(axisName_a=-1000)) == {'axisName_a': -1.0}
assert doc.normalizeLocation(dict(axisName_a=-1001)) == {'axisName_a': -1.0}
# anisotropic coordinates normalise to isotropic
assert doc.normalizeLocation(dict(axisName_a=(1000, -1000))) == {'axisName_a': 1.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('axisName_a', -1.0, 0.0, 1.0)]
def test_normalise2():
# normalisation with minimum > 0
doc = DesignSpaceDocument()
# write some axes
a2 = AxisDescriptor()
a2.minimum = 100
a2.maximum = 1000
a2.default = 100
a2.name = "axisName_b"
doc.addAxis(a2)
assert doc.normalizeLocation(dict(axisName_b=0)) == {'axisName_b': 0.0}
assert doc.normalizeLocation(dict(axisName_b=1000)) == {'axisName_b': 1.0}
# clipping beyond max values:
assert doc.normalizeLocation(dict(axisName_b=1001)) == {'axisName_b': 1.0}
assert doc.normalizeLocation(dict(axisName_b=500)) == {'axisName_b': 0.4444444444444444}
assert doc.normalizeLocation(dict(axisName_b=-1000)) == {'axisName_b': 0.0}
assert doc.normalizeLocation(dict(axisName_b=-1001)) == {'axisName_b': 0.0}
# anisotropic coordinates normalise to isotropic
assert doc.normalizeLocation(dict(axisName_b=(1000,-1000))) == {'axisName_b': 1.0}
assert doc.normalizeLocation(dict(axisName_b=1001)) == {'axisName_b': 1.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('axisName_b', 0.0, 0.0, 1.0)]
def main(args):
from fontTools import configLogger
args = args[1:]
# TODO: allow user to configure logging via command-line options
configLogger(level="INFO")
if len(args) < 1:
print("usage: fonttools varLib.models source.designspace", file=sys.stderr)
print(" or")
print("usage: fonttools varLib.models location1 location2 ...", file=sys.stderr)
sys.exit(1)
from pprint import pprint
if len(args) == 1 and args[0].endswith('.designspace'):
from fontTools.designspaceLib import DesignSpaceDocument
doc = DesignSpaceDocument()
doc.read(args[0])
locs = [s.location for s in doc.sources]
print("Original locations:")
pprint(locs)
doc.normalize()
print("Normalized locations:")
pprint(locs)
else:
axes = [chr(c) for c in range(ord('A'), ord('Z')+1)]
locs = [dict(zip(axes, (float(v) for v in s.split(',')))) for s in args]
model = VariationModel(locs)
print("Sorted locations:")
pprint(model.locations)
print("Supports:")
pprint(model.supports)
def main(args):
from fontTools import configLogger
args = args[1:]
# TODO: allow user to configure logging via command-line options
configLogger(level="INFO")
if len(args) < 1:
print("usage: fonttools varLib.models source.designspace", file=sys.stderr)
print(" or")
print("usage: fonttools varLib.models location1 location2 ...", file=sys.stderr)
sys.exit(1)
from pprint import pprint
if len(args) == 1 and args[0].endswith('.designspace'):
from fontTools.designspaceLib import DesignSpaceDocument
doc = DesignSpaceDocument()
doc.read(args[0])
locs = [s.location for s in doc.sources]
print("Original locations:")
pprint(locs)
doc.normalize()
print("Normalized locations:")
pprint(locs)
else:
axes = [chr(c) for c in range(ord('A'), ord('Z')+1)]
locs = [dict(zip(axes, (float(v) for v in s.split(',')))) for s in args]
model = VariationModel(locs)
print("Sorted locations:")
pprint(model.locations)
print("Supports:")
pprint(model.supports)
def test_rulesDocument(tmpdir):
# tests of rules in a document, roundtripping.
tmpdir = str(tmpdir)
testDocPath = os.path.join(tmpdir, "testRules.designspace")
testDocPath2 = os.path.join(tmpdir, "testRules_roundtrip.designspace")
doc = DesignSpaceDocument()
a1 = AxisDescriptor()
a1.minimum = 0
a1.maximum = 1000
a1.default = 0
a1.name = "axisName_a"
a1.tag = "TAGA"
b1 = AxisDescriptor()
b1.minimum = 2000
b1.maximum = 3000
b1.default = 2000
b1.name = "axisName_b"
b1.tag = "TAGB"
doc.addAxis(a1)
doc.addAxis(b1)
r1 = RuleDescriptor()
r1.name = "named.rule.1"
r1.conditionSets.append([
dict(name='axisName_a', minimum=0, maximum=1000),
dict(name='axisName_b', minimum=0, maximum=3000)
])
r1.subs.append(("a", "a.alt"))
# rule with minium and maximum
doc.addRule(r1)
assert len(doc.rules) == 1
assert len(doc.rules[0].conditionSets) == 1
assert len(doc.rules[0].conditionSets[0]) == 2
assert _axesAsDict(doc.axes) == {'axisName_a': {'map': [], 'name': 'axisName_a', 'default': 0, 'minimum': 0, 'maximum': 1000, 'tag': 'TAGA'}, 'axisName_b': {'map': [], 'name': 'axisName_b', 'default': 2000, 'minimum': 2000, 'maximum': 3000, 'tag': 'TAGB'}}
assert doc.rules[0].conditionSets == [[
{'minimum': 0, 'maximum': 1000, 'name': 'axisName_a'},
{'minimum': 0, 'maximum': 3000, 'name': 'axisName_b'}]]
assert doc.rules[0].subs == [('a', 'a.alt')]
doc.normalize()
assert doc.rules[0].name == 'named.rule.1'
assert doc.rules[0].conditionSets == [[
{'minimum': 0.0, 'maximum': 1.0, 'name': 'axisName_a'},
{'minimum': 0.0, 'maximum': 1.0, 'name': 'axisName_b'}]]
# still one conditionset
assert len(doc.rules[0].conditionSets) == 1
doc.write(testDocPath)
# add a stray conditionset
_addUnwrappedCondition(testDocPath)
doc2 = DesignSpaceDocument()
doc2.read(testDocPath)
assert len(doc2.axes) == 2
assert len(doc2.rules) == 1
assert len(doc2.rules[0].conditionSets) == 2
doc2.write(testDocPath2)
# verify these results
# make sure the stray condition is now neatly wrapped in a conditionset.
doc3 = DesignSpaceDocument()
doc3.read(testDocPath2)
assert len(doc3.rules) == 1
assert len(doc3.rules[0].conditionSets) == 2
def test_rulesDocument(tmpdir):
# tests of rules in a document, roundtripping.
tmpdir = str(tmpdir)
testDocPath = os.path.join(tmpdir, "testRules.designspace")
testDocPath2 = os.path.join(tmpdir, "testRules_roundtrip.designspace")
doc = DesignSpaceDocument()
a1 = AxisDescriptor()
a1.minimum = 0
a1.maximum = 1000
a1.default = 0
a1.name = "axisName_a"
a1.tag = "TAGA"
b1 = AxisDescriptor()
b1.minimum = 2000
b1.maximum = 3000
b1.default = 2000
b1.name = "axisName_b"
b1.tag = "TAGB"
doc.addAxis(a1)
doc.addAxis(b1)
r1 = RuleDescriptor()
r1.name = "named.rule.1"
r1.conditionSets.append([
dict(name='axisName_a', minimum=0, maximum=1000),
dict(name='axisName_b', minimum=0, maximum=3000)
])
r1.subs.append(("a", "a.alt"))
# rule with minium and maximum
doc.addRule(r1)
assert len(doc.rules) == 1
assert len(doc.rules[0].conditionSets) == 1
assert len(doc.rules[0].conditionSets[0]) == 2
assert _axesAsDict(doc.axes) == {'axisName_a': {'map': [], 'name': 'axisName_a', 'default': 0, 'minimum': 0, 'maximum': 1000, 'tag': 'TAGA'}, 'axisName_b': {'map': [], 'name': 'axisName_b', 'default': 2000, 'minimum': 2000, 'maximum': 3000, 'tag': 'TAGB'}}
assert doc.rules[0].conditionSets == [[
{'minimum': 0, 'maximum': 1000, 'name': 'axisName_a'},
{'minimum': 0, 'maximum': 3000, 'name': 'axisName_b'}]]
assert doc.rules[0].subs == [('a', 'a.alt')]
doc.normalize()
assert doc.rules[0].name == 'named.rule.1'
assert doc.rules[0].conditionSets == [[
{'minimum': 0.0, 'maximum': 1.0, 'name': 'axisName_a'},
{'minimum': 0.0, 'maximum': 1.0, 'name': 'axisName_b'}]]
# still one conditionset
assert len(doc.rules[0].conditionSets) == 1
doc.write(testDocPath)
# add a stray conditionset
_addUnwrappedCondition(testDocPath)
doc2 = DesignSpaceDocument()
doc2.read(testDocPath)
assert len(doc2.axes) == 2
assert len(doc2.rules) == 1
assert len(doc2.rules[0].conditionSets) == 2
doc2.write(testDocPath2)
# verify these results
# make sure the stray condition is now neatly wrapped in a conditionset.
doc3 = DesignSpaceDocument()
doc3.read(testDocPath2)
assert len(doc3.rules) == 1
assert len(doc3.rules[0].conditionSets) == 2
def main(args=None):
"""Normalize locations on a given designspace"""
from fontTools import configLogger
import argparse
parser = argparse.ArgumentParser(
"fonttools varLib.models",
description=main.__doc__,
)
parser.add_argument(
"--loglevel",
metavar="LEVEL",
default="INFO",
help="Logging level (defaults to INFO)",
)
group = parser.add_mutually_exclusive_group(required=True)
group.add_argument("-d", "--designspace", metavar="DESIGNSPACE", type=str)
group.add_argument(
"-l",
"--locations",
metavar="LOCATION",
nargs="+",
help=
"Master locations as comma-separate coordinates. One must be all zeros.",
)
args = parser.parse_args(args)
configLogger(level=args.loglevel)
from pprint import pprint
if args.designspace:
from fontTools.designspaceLib import DesignSpaceDocument
doc = DesignSpaceDocument()
doc.read(args.designspace)
locs = [s.location for s in doc.sources]
print("Original locations:")
pprint(locs)
doc.normalize()
print("Normalized locations:")
locs = [s.location for s in doc.sources]
pprint(locs)
else:
axes = [chr(c) for c in range(ord("A"), ord("Z") + 1)]
locs = [
dict(zip(axes, (float(v) for v in s.split(","))))
for s in args.locations
]
model = VariationModel(locs)
print("Sorted locations:")
pprint(model.locations)
print("Supports:")
pprint(model.supports)
def test_normalise4():
# normalisation with a map
doc = DesignSpaceDocument()
# write some axes
a4 = AxisDescriptor()
a4.minimum = 0
a4.maximum = 1000
a4.default = 0
a4.name = "ddd"
a4.map = [(0,100), (300, 500), (600, 500), (1000,900)]
doc.addAxis(a4)
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.map))
r.sort()
assert r == [('ddd', [(0, 0.0), (300, 0.5), (600, 0.5), (1000, 1.0)])]
def test_normalise4():
# normalisation with a map
doc = DesignSpaceDocument()
# write some axes
a4 = AxisDescriptor()
a4.minimum = 0
a4.maximum = 1000
a4.default = 0
a4.name = "ddd"
a4.map = [(0,100), (300, 500), (600, 500), (1000,900)]
doc.addAxis(a4)
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.map))
r.sort()
assert r == [('ddd', [(0, 0.1), (300, 0.5), (600, 0.5), (1000, 0.9)])]
def test_axisMapping():
# note: because designspance lib does not do any actual
# processing of the mapping data, we can only check if there data is there.
doc = DesignSpaceDocument()
# write some axes
a4 = AxisDescriptor()
a4.minimum = 0
a4.maximum = 1000
a4.default = 0
a4.name = "ddd"
a4.map = [(0,100), (300, 500), (600, 500), (1000,900)]
doc.addAxis(a4)
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.map))
r.sort()
assert r == [('ddd', [(0, 0.0), (300, 0.5), (600, 0.5), (1000, 1.0)])]
def test_axisMapping():
# note: because designspance lib does not do any actual
# processing of the mapping data, we can only check if there data is there.
doc = DesignSpaceDocument()
# write some axes
a4 = AxisDescriptor()
a4.minimum = 0
a4.maximum = 1000
a4.default = 0
a4.name = "ddd"
a4.map = [(0,100), (300, 500), (600, 500), (1000,900)]
doc.addAxis(a4)
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.map))
r.sort()
assert r == [('ddd', [(0, 0.1), (300, 0.5), (600, 0.5), (1000, 0.9)])]
def test_normalise3():
# normalisation of negative values, with default == maximum
doc = DesignSpaceDocument()
# write some axes
a3 = AxisDescriptor()
a3.minimum = -1000
a3.maximum = 0
a3.default = 0
a3.name = "ccc"
doc.addAxis(a3)
assert doc.normalizeLocation(dict(ccc=0)) == {'ccc': 0.0}
assert doc.normalizeLocation(dict(ccc=1)) == {'ccc': 0.0}
assert doc.normalizeLocation(dict(ccc=-1000)) == {'ccc': -1.0}
assert doc.normalizeLocation(dict(ccc=-1001)) == {'ccc': -1.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('ccc', -1.0, 0.0, 0.0)]
def test_normalise3():
# normalisation of negative values, with default == maximum
doc = DesignSpaceDocument()
# write some axes
a3 = AxisDescriptor()
a3.minimum = -1000
a3.maximum = 0
a3.default = 0
a3.name = "ccc"
doc.addAxis(a3)
assert doc.normalizeLocation(dict(ccc=0)) == {'ccc': 0.0}
assert doc.normalizeLocation(dict(ccc=1)) == {'ccc': 0.0}
assert doc.normalizeLocation(dict(ccc=-1000)) == {'ccc': -1.0}
assert doc.normalizeLocation(dict(ccc=-1001)) == {'ccc': -1.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('ccc', -1.0, 0.0, 0.0)]
def test_rules(tmpdir):
tmpdir = str(tmpdir)
testDocPath = os.path.join(tmpdir, "testRules.designspace")
testDocPath2 = os.path.join(tmpdir, "testRules_roundtrip.designspace")
doc = DesignSpaceDocument()
# write some axes
a1 = AxisDescriptor()
a1.tag = "taga"
a1.name = "aaaa"
a1.minimum = 0
a1.maximum = 1000
a1.default = 0
doc.addAxis(a1)
a2 = AxisDescriptor()
a2.tag = "tagb"
a2.name = "bbbb"
a2.minimum = 0
a2.maximum = 3000
a2.default = 0
doc.addAxis(a2)
r1 = RuleDescriptor()
r1.name = "named.rule.1"
r1.conditions.append(dict(name='aaaa', minimum=0, maximum=1000))
r1.conditions.append(dict(name='bbbb', minimum=0, maximum=3000))
r1.subs.append(("a", "a.alt"))
# rule with minium and maximum
doc.addRule(r1)
assert len(doc.rules) == 1
assert len(doc.rules[0].conditions) == 2
assert evaluateRule(r1, dict(aaaa=500, bbbb=0)) == True
assert evaluateRule(r1, dict(aaaa=0, bbbb=0)) == True
assert evaluateRule(r1, dict(aaaa=1000, bbbb=0)) == True
assert evaluateRule(r1, dict(aaaa=1000, bbbb=-100)) == False
assert evaluateRule(r1, dict(aaaa=1000.0001, bbbb=0)) == False
assert evaluateRule(r1, dict(aaaa=-0.0001, bbbb=0)) == False
assert evaluateRule(r1, dict(aaaa=-100, bbbb=0)) == False
assert processRules([r1], dict(aaaa=500),
["a", "b", "c"]) == ['a.alt', 'b', 'c']
assert processRules([r1], dict(aaaa=500),
["a.alt", "b", "c"]) == ['a.alt', 'b', 'c']
assert processRules([r1], dict(aaaa=2000),
["a", "b", "c"]) == ['a', 'b', 'c']
# rule with only a maximum
r2 = RuleDescriptor()
r2.name = "named.rule.2"
r2.conditions.append(dict(name='aaaa', maximum=500))
r2.subs.append(("b", "b.alt"))
assert evaluateRule(r2, dict(aaaa=0)) == True
assert evaluateRule(r2, dict(aaaa=-500)) == True
assert evaluateRule(r2, dict(aaaa=1000)) == False
# rule with only a minimum
r3 = RuleDescriptor()
r3.name = "named.rule.3"
r3.conditions.append(dict(name='aaaa', minimum=500))
r3.subs.append(("c", "c.alt"))
assert evaluateRule(r3, dict(aaaa=0)) == False
assert evaluateRule(r3, dict(aaaa=1000)) == True
assert evaluateRule(r3, dict(bbbb=1000)) == True
# rule with only a minimum, maximum in separate conditions
r4 = RuleDescriptor()
r4.name = "named.rule.4"
r4.conditions.append(dict(name='aaaa', minimum=500))
r4.conditions.append(dict(name='bbbb', maximum=500))
r4.subs.append(("c", "c.alt"))
assert evaluateRule(r4, dict()) == True # is this what we expect though?
assert evaluateRule(r4, dict(aaaa=1000, bbbb=0)) == True
assert evaluateRule(r4, dict(aaaa=0, bbbb=0)) == False
assert evaluateRule(r4, dict(aaaa=1000, bbbb=1000)) == False
a1 = AxisDescriptor()
a1.minimum = 0
a1.maximum = 1000
a1.default = 0
a1.name = "aaaa"
a1.tag = "aaaa"
b1 = AxisDescriptor()
b1.minimum = 2000
b1.maximum = 3000
b1.default = 2000
b1.name = "bbbb"
b1.tag = "bbbb"
doc.addAxis(a1)
doc.addAxis(b1)
assert doc._prepAxesForBender() == {
'aaaa': {
'map': [],
'name': 'aaaa',
'default': 0,
'minimum': 0,
'maximum': 1000,
'tag': 'aaaa'
},
'bbbb': {
'map': [],
'name': 'bbbb',
'default': 2000,
'minimum': 2000,
'maximum': 3000,
'tag': 'bbbb'
}
}
assert doc.rules[0].conditions == [{
'minimum': 0,
'maximum': 1000,
'name': 'aaaa'
}, {
'minimum': 0,
'maximum': 3000,
'name': 'bbbb'
}]
assert doc.rules[0].subs == [('a', 'a.alt')]
doc.normalize()
assert doc.rules[0].name == 'named.rule.1'
assert doc.rules[0].conditions == [{
'minimum': 0.0,
'maximum': 1.0,
'name': 'aaaa'
}, {
'minimum': 0.0,
'maximum': 1.0,
'name': 'bbbb'
}]
doc.write(testDocPath)
new = DesignSpaceDocument()
new.read(testDocPath)
assert len(new.axes) == 4
assert len(new.rules) == 1
new.write(testDocPath2)
def test_normalise():
doc = DesignSpaceDocument()
# write some axes
a1 = AxisDescriptor()
a1.minimum = -1000
a1.maximum = 1000
a1.default = 0
a1.name = "aaa"
a1.tag = "aaaa"
doc.addAxis(a1)
assert doc.normalizeLocation(dict(aaa=0)) == {'aaa': 0.0}
assert doc.normalizeLocation(dict(aaa=1000)) == {'aaa': 1.0}
# clipping beyond max values:
assert doc.normalizeLocation(dict(aaa=1001)) == {'aaa': 1.0}
assert doc.normalizeLocation(dict(aaa=500)) == {'aaa': 0.5}
assert doc.normalizeLocation(dict(aaa=-1000)) == {'aaa': -1.0}
assert doc.normalizeLocation(dict(aaa=-1001)) == {'aaa': -1.0}
# anisotropic coordinates normalise to isotropic
assert doc.normalizeLocation(dict(aaa=(1000, -1000))) == {'aaa': 1.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('aaa', -1.0, 0.0, 1.0)]
doc = DesignSpaceDocument()
# write some axes
a2 = AxisDescriptor()
a2.minimum = 100
a2.maximum = 1000
a2.default = 100
a2.name = "bbb"
doc.addAxis(a2)
assert doc.normalizeLocation(dict(bbb=0)) == {'bbb': 0.0}
assert doc.normalizeLocation(dict(bbb=1000)) == {'bbb': 1.0}
# clipping beyond max values:
assert doc.normalizeLocation(dict(bbb=1001)) == {'bbb': 1.0}
assert doc.normalizeLocation(dict(bbb=500)) == {'bbb': 0.4444444444444444}
assert doc.normalizeLocation(dict(bbb=-1000)) == {'bbb': 0.0}
assert doc.normalizeLocation(dict(bbb=-1001)) == {'bbb': 0.0}
# anisotropic coordinates normalise to isotropic
assert doc.normalizeLocation(dict(bbb=(1000, -1000))) == {'bbb': 1.0}
assert doc.normalizeLocation(dict(bbb=1001)) == {'bbb': 1.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('bbb', 0.0, 0.0, 1.0)]
doc = DesignSpaceDocument()
# write some axes
a3 = AxisDescriptor()
a3.minimum = -1000
a3.maximum = 0
a3.default = 0
a3.name = "ccc"
doc.addAxis(a3)
assert doc.normalizeLocation(dict(ccc=0)) == {'ccc': 0.0}
assert doc.normalizeLocation(dict(ccc=1)) == {'ccc': 0.0}
assert doc.normalizeLocation(dict(ccc=-1000)) == {'ccc': -1.0}
assert doc.normalizeLocation(dict(ccc=-1001)) == {'ccc': -1.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('ccc', -1.0, 0.0, 0.0)]
doc = DesignSpaceDocument()
# write some axes
a3 = AxisDescriptor()
a3.minimum = 2000
a3.maximum = 3000
a3.default = 2000
a3.name = "ccc"
doc.addAxis(a3)
assert doc.normalizeLocation(dict(ccc=0)) == {'ccc': 0.0}
assert doc.normalizeLocation(dict(ccc=1)) == {'ccc': 0.0}
assert doc.normalizeLocation(dict(ccc=-1000)) == {'ccc': 0.0}
assert doc.normalizeLocation(dict(ccc=-1001)) == {'ccc': 0.0}
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.minimum, axis.default, axis.maximum))
r.sort()
assert r == [('ccc', 0.0, 0.0, 1.0)]
doc = DesignSpaceDocument()
# write some axes
a4 = AxisDescriptor()
a4.minimum = 0
a4.maximum = 1000
a4.default = 0
a4.name = "ddd"
a4.map = [(0, 100), (300, 500), (600, 500), (1000, 900)]
doc.addAxis(a4)
doc.normalize()
r = []
for axis in doc.axes:
r.append((axis.name, axis.map))
r.sort()
assert r == [('ddd', [(0, 0.1), (300, 0.5), (600, 0.5), (1000, 0.9)])]
