def interpolate(self, factor, minInfo, maxInfo, round=True, suppressError=True):
"""
Interpolate all pairs between minInfo and maxInfo.
The interpolation occurs on a 0 to 1.0 range where minInfo
is located at 0 and maxInfo is located at 1.0.
factor is the interpolation value. It may be less than 0
and greater than 1.0. It may be a number (integer, float)
or a tuple of two numbers. If it is a tuple, the first
number indicates the x factor and the second number
indicates the y factor.
round indicates if the result should be rounded to integers.
suppressError indicates if incompatible data should be ignored
or if an error should be raised when such incompatibilities are found.
"""
factor = normalizers.normalizeInterpolationFactor(factor)
if not isinstance(minInfo, BaseInfo):
raise TypeError(("Interpolation to an instance of %r can not be "
"performed from an instance of %r.") %
(self.__class__.__name__, minInfo.__class__.__name__))
if not isinstance(maxInfo, BaseInfo):
raise TypeError(("Interpolation to an instance of %r can not be "
"performed from an instance of %r.") %
(self.__class__.__name__, maxInfo.__class__.__name__))
round = normalizers.normalizeBoolean(round)
suppressError = normalizers.normalizeBoolean(suppressError)
self._interpolate(factor, minInfo, maxInfo,
round=round, suppressError=suppressError)
def interpolate(self, factor, minLayer, maxLayer, round=True,
suppressError=True):
"""
Interpolate all possible data in the layer. ::
>>> layer.interpolate(0.5, otherLayer1, otherLayer2)
>>> layer.interpolate((0.5, 2.0), otherLayer1, otherLayer2, round=False)
The interpolation occurs on a 0 to 1.0 range where **minLayer**
is located at 0 and **maxLayer** is located at 1.0. **factor**
is the interpolation value. It may be less than 0 and greater
than 1.0. It may be a :ref:`type-int-float` or a tuple of
two :ref:`type-int-float`. If it is a tuple, the first
number indicates the x factor and the second number indicates
the y factor. **round** indicates if the result should be
rounded to integers. **suppressError** indicates if incompatible
data should be ignored or if an error should be raised when
such incompatibilities are found.
"""
factor = normalizers.normalizeInterpolationFactor(factor)
if not isinstance(minLayer, BaseLayer):
raise TypeError(("Interpolation to an instance of %r can not be "
"performed from an instance of %r.")
% (self.__class__.__name__, minLayer.__class__.__name__))
if not isinstance(maxLayer, BaseLayer):
raise TypeError(("Interpolation to an instance of %r can not be "
"performed from an instance of %r.")
% (self.__class__.__name__, maxLayer.__class__.__name__))
round = normalizers.normalizeBoolean(round)
suppressError = normalizers.normalizeBoolean(suppressError)
self._interpolate(factor, minLayer, maxLayer,
round=round, suppressError=suppressError)
def interpolate(self, factor, minKerning, maxKerning, round=True, suppressError=True):
"""
Interpolates all pairs between two :class:`BaseKerning` objects:
**minKerning** and **maxKerning**. The interpolation occurs on a
0 to 1.0 range where **minKerning** is located at 0 and
**maxKerning** is located at 1.0. The kerning data is replaced by
the interpolated kerning.
* **factor** is the interpolation value. It may be less than 0
and greater than 1.0. It may be an :ref:`type-int-float`,
``tuple`` or ``list``. If it is a ``tuple`` or ``list``,
the first number indicates the x factor and the second number
indicates the y factor.
* **round** is a ``bool`` indicating if the result should be rounded to
``int``\s. The default behavior is to round interpolated kerning.
* **suppressError** is a ``bool`` indicating if incompatible data should
be ignored or if an error should be raised when such incompatibilities
are found. The default behavior is to ignore incompatible data.
>>> myKerning.interpolate(kerningOne, kerningTwo)
"""
factor = normalizers.normalizeInterpolationFactor(factor)
if not isinstance(minKerning, BaseKerning):
raise TypeError(("Interpolation to an instance of %r can not be "
"performed from an instance of %r.") % (
self.__class__.__name__, minKerning.__class__.__name__))
if not isinstance(maxKerning, BaseKerning):
raise TypeError(("Interpolation to an instance of %r can not be "
"performed from an instance of %r.") % (
self.__class__.__name__, maxKerning.__class__.__name__))
round = normalizers.normalizeBoolean(round)
suppressError = normalizers.normalizeBoolean(suppressError)
self._interpolate(factor, minKerning, maxKerning,
round=round, suppressError=suppressError)
def interpolate(self, factor, minInfo, maxInfo, round=True, suppressError=True):
"""
Interpolate all pairs between minInfo and maxInfo.
The interpolation occurs on a 0 to 1.0 range where minInfo
is located at 0 and maxInfo is located at 1.0.
factor is the interpolation value. It may be less than 0
and greater than 1.0. It may be a number (integer, float)
or a tuple of two numbers. If it is a tuple, the first
number indicates the x factor and the second number
indicates the y factor.
round indicates if the result should be rounded to integers.
suppressError indicates if incompatible data should be ignored
or if an error should be raised when such incompatibilities are found.
"""
factor = normalizers.normalizeInterpolationFactor(factor)
if not isinstance(minInfo, BaseInfo):
raise FontPartsError("Interpolation to an instance of %r can not be performed from an instance of %r." % (self.__class__.__name__, minInfo.__class__.__name__))
if not isinstance(maxInfo, BaseInfo):
raise FontPartsError("Interpolation to an instance of %r can not be performed from an instance of %r." % (self.__class__.__name__, maxInfo.__class__.__name__))
round = normalizers.normalizeBoolean(round)
suppressError = normalizers.normalizeBoolean(suppressError)
self._interpolate(factor, minInfo, maxInfo, round=round, suppressError=suppressError)
def interpolate(self, factor, minKerning, maxKerning, round=True, suppressError=True):
"""
Interpolates all pairs between two :class:`BaseKerning` objects:
**minKerning** and **maxKerning**. The interpolation occurs on a
0 to 1.0 range where **minKerning** is located at 0 and
**maxKerning** is located at 1.0. The kerning data is replaced by
the interpolated kerning.
* **factor** is the interpolation value. It may be less than 0
and greater than 1.0. It may be an :ref:`type-int-float`,
``tuple`` or ``list``. If it is a ``tuple`` or ``list``,
the first number indicates the x factor and the second number
indicates the y factor.
* **round** is a ``bool`` indicating if the result should be rounded to
``int``\s. The default behavior is to round interpolated kerning.
* **suppressError** is a ``bool`` indicating if incompatible data should
be ignored or if an error should be raised when such incompatibilities
are found. The default behavior is to ignore incompatible data.
>>> myKerning.interpolate(kerningOne, kerningTwo)
"""
factor = normalizers.normalizeInterpolationFactor(factor)
if not isinstance(minKerning, BaseKerning):
raise TypeError(("Interpolation to an instance of %r can not be "
"performed from an instance of %r.") % (
self.__class__.__name__, minKerning.__class__.__name__))
if not isinstance(maxKerning, BaseKerning):
raise TypeError(("Interpolation to an instance of %r can not be "
"performed from an instance of %r.") % (
self.__class__.__name__, maxKerning.__class__.__name__))
round = normalizers.normalizeBoolean(round)
suppressError = normalizers.normalizeBoolean(suppressError)
self._interpolate(factor, minKerning, maxKerning,
round=round, suppressError=suppressError)
