Source code for bokeh.core.property.numeric

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# Copyright (c) 2012 - 2021, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
#
# The full license is in the file LICENSE.txt, distributed with this software.
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""" Provide the numeric properties.

"""

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# Boilerplate
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from __future__ import annotations

import logging # isort:skip
log = logging.getLogger(__name__)

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# Imports
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# Bokeh imports
from .bases import ParameterizedProperty
from .primitive import Float, Int
from .singletons import Undefined

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# Globals and constants
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__all__ = (
    'Angle',
    'Byte',
    'Interval',
    'NonNegativeInt',
    'Percent',
    'PositiveInt',
    'Size',
)

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# General API
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[docs]class NonNegativeInt(Int): """ Accept non-negative integers. """ def validate(self, value, detail=True): super().validate(value, detail) if value < 0: raise ValueError(f"expected non-negative integer, got {value!r}")
[docs]class PositiveInt(Int): """ Accept positive integers. """ def validate(self, value, detail=True): super().validate(value, detail) if value <= 0: raise ValueError(f"expected positive integer, got {value!r}")
[docs]class Interval(ParameterizedProperty): """ Accept numeric values that are contained within a given interval. Args: interval_type (numeric property): numeric types for the range, e.g. ``Int``, ``Float`` start (number) : A minimum allowable value for the range. Values less than ``start`` will result in validation errors. end (number) : A maximum allowable value for the range. Values greater than ``end`` will result in validation errors. Example: .. code-block:: python >>> class RangeModel(HasProps): ... prop = Range(Float, 10, 20) ... >>> m = RangeModel() >>> m.prop = 10 >>> m.prop = 20 >>> m.prop = 15 >>> m.prop = 2 # ValueError !! >>> m.prop = 22 # ValueError !! >>> m.prop = "foo" # ValueError !! """ def __init__(self, interval_type, start, end, default=Undefined, help=None) -> None: self.interval_type = self._validate_type_param(interval_type) # Make up a property name for validation purposes self.interval_type.validate(start) self.interval_type.validate(end) self.start = start self.end = end super().__init__(default=default, help=help) def __str__(self) -> str: class_name = self.__class__.__name__ return f"{class_name}({self.interval_type}, {self.start!r}, {self.end!r})" @property def type_params(self): return [self.interval_type] def validate(self, value, detail=True): super().validate(value, detail) if not (self.interval_type.is_valid(value) and value >= self.start and value <= self.end): msg = "" if not detail else f"expected a value of type {self.interval_type} in range [{self.start}, {self.end}], got {value!r}" raise ValueError(msg)
[docs]class Byte(Interval): """ Accept integral byte values (0-255). Example: .. code-block:: python >>> class ByteModel(HasProps): ... prop = Byte(default=0) ... >>> m = ByteModel() >>> m.prop = 255 >>> m.prop = 256 # ValueError !! >>> m.prop = 10.3 # ValueError !! """ def __init__(self, default=0, help=None) -> None: super().__init__(Int, 0, 255, default=default, help=help)
[docs]class Size(Float): """ Accept non-negative numeric values. Args: default (float, optional) : A default value for attributes created from this property to have. help (str or None, optional) : A documentation string for this property. It will be automatically used by the :ref:`bokeh.sphinxext.bokeh_prop` extension when generating Spinx documentation. (default: None) serialized (bool, optional) : Whether attributes created from this property should be included in serialization (default: True) readonly (bool, optional) : Whether attributes created from this property are read-only. (default: False) Example: .. code-block:: python >>> class SizeModel(HasProps): ... prop = Size() ... >>> m = SizeModel() >>> m.prop = 0 >>> m.prop = 10e6 >>> m.prop = -10 # ValueError !! >>> m.prop = "foo" # ValueError !! """ def validate(self, value, detail=True): super().validate(value, detail) if value < 0: msg = "" if not detail else f"expected a non-negative number, got {value!r}" raise ValueError(msg)
[docs]class Percent(Float): """ Accept floating point percentage values. ``Percent`` can be useful and semantically meaningful for specifying things like alpha values and extents. Args: default (float, optional) : A default value for attributes created from this property to have. help (str or None, optional) : A documentation string for this property. It will be automatically used by the :ref:`bokeh.sphinxext.bokeh_prop` extension when generating Spinx documentation. (default: None) serialized (bool, optional) : Whether attributes created from this property should be included in serialization (default: True) readonly (bool, optional) : Whether attributes created from this property are read-only. (default: False) Example: .. code-block:: python >>> class PercentModel(HasProps): ... prop = Percent() ... >>> m = PercentModel() >>> m.prop = 0.0 >>> m.prop = 0.2 >>> m.prop = 1.0 >>> m.prop = -2 # ValueError !! >>> m.prop = 5 # ValueError !! """ def validate(self, value, detail=True): super().validate(value, detail) if 0.0 <= value <= 1.0: return msg = "" if not detail else f"expected a value in range [0, 1], got {value!r}" raise ValueError(msg)
[docs]class Angle(Float): """ Accept floating point angle values. ``Angle`` is equivalent to :class:`~bokeh.core.properties.Float` but is provided for cases when it is more semantically meaningful. Args: default (float, optional) : A default value for attributes created from this property to have. help (str or None, optional) : A documentation string for this property. It will be automatically used by the :ref:`bokeh.sphinxext.bokeh_prop` extension when generating Spinx documentation. (default: None) serialized (bool, optional) : Whether attributes created from this property should be included in serialization (default: True) readonly (bool, optional) : Whether attributes created from this property are read-only. (default: False) """ pass
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