Source code for bokeh.core.property.numeric

#-----------------------------------------------------------------------------
# Copyright (c) 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.

"""

#-----------------------------------------------------------------------------
# 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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# Standard library imports
from typing import Any, TypeVar, Union

# Bokeh imports
from ...util.deprecation import deprecated
from .bases import (
    Init,
    Property,
    SingleParameterizedProperty,
    TypeOrInst,
)
from .primitive import Float, Int
from .singletons import Intrinsic, Undefined

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

T = TypeVar("T", bound=Union[int, float])

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# General API
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[docs] class NonNegative(SingleParameterizedProperty[T]): """ A property accepting a value of some other type while having undefined default. """ def __init__(self, type_param: TypeOrInst[Property[T]], *, default: Init[T] = Intrinsic, help: str | None = None) -> None: super().__init__(type_param, default=default, help=help) def validate(self, value: Any, detail: bool = True) -> None: super().validate(value, detail) if not (0 <= value): raise ValueError(f"expected a non-negative number, got {value!r}")
[docs] class Positive(SingleParameterizedProperty[T]): """ A property accepting a value of some other type while having undefined default. """ def __init__(self, type_param: TypeOrInst[Property[T]], *, default: Init[T] = Intrinsic, help: str | None = None) -> None: super().__init__(type_param, default=default, help=help) def validate(self, value: Any, detail: bool = True) -> None: super().validate(value, detail) if not (0 < value): raise ValueError(f"expected a positive number, got {value!r}")
[docs] class NonNegativeInt(Int): """ Accept non-negative integers. .. deprecated:: 3.0.0 Use ``NonNegative(Int)`` instead. """ def __init__(self, default: Init[int] = Intrinsic, *, help: str | None = None) -> None: deprecated((3, 0, 0), "NonNegativeInt", "NonNegative(Int)") super().__init__(default=default, help=help) def validate(self, value: Any, detail: bool = True) -> None: super().validate(value, detail) if not (0 <= value): raise ValueError(f"expected non-negative integer, got {value!r}")
[docs] class PositiveInt(Int): """ Accept positive integers. .. deprecated:: 3.0.0 Use ``Positive(Int)`` instead. """ def __init__(self, default: Init[int] = Intrinsic, *, help: str | None = None) -> None: deprecated((3, 0, 0), "Positive", "Positive(Int)") super().__init__(default=default, help=help) def validate(self, value: Any, detail: bool = True) -> None: super().validate(value, detail) if not (0 < value): raise ValueError(f"expected positive integer, got {value!r}")
[docs] class Interval(SingleParameterizedProperty[T]): """ 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, type_param: TypeOrInst[Property[T]], start: T, end: T, *, default: Init[T] = Undefined, help: str | None = None) -> None: super().__init__(type_param, default=default, help=help) self.type_param.validate(start) self.type_param.validate(end) self.start = start self.end = end def __str__(self) -> str: class_name = self.__class__.__name__ return f"{class_name}({self.type_param}, {self.start!r}, {self.end!r})" def validate(self, value: Any, detail: bool = True) -> None: super().validate(value, detail) if not (self.type_param.is_valid(value) and value >= self.start and value <= self.end): msg = "" if not detail else f"expected a value of type {self.type_param} in range [{self.start}, {self.end}], got {value!r}" raise ValueError(msg)
[docs] class Byte(Interval[int]): """ 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: Init[int] = 0, help: str | None = 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) 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: Any, detail: bool = True) -> None: 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) 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: Any, detail: bool = True) -> None: 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) """
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