Source code for bokeh.core.property.primitive

#-----------------------------------------------------------------------------
# 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.
#-----------------------------------------------------------------------------
""" Provide properties for Python primitive types.

"""

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

#-----------------------------------------------------------------------------
# Imports
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# Standard library imports
import numbers

# Bokeh imports
from .bases import PrimitiveProperty

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# Globals and constants
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bokeh_bool_types = (bool,)
try:
    import numpy as np
    bokeh_bool_types += (np.bool8,)
except ImportError:
    pass

bokeh_integer_types = (numbers.Integral,)

__all__ = (
    'Bool',
    'Complex',
    'Int',
    'Float',
    'Null',
    'String',
)

#-----------------------------------------------------------------------------
# General API
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class Null(PrimitiveProperty):
    """ Accept only ``None`` value.

        Use this in conjunction with ``Either(Null, Type)`` or as ``Nullable(Type)``.
    """

    _underlying_type = (type(None),)

    def __init__(self, default=None, *, help=None, serialized=None, readonly=False):
        super().__init__(default=default, help=help, serialized=serialized, readonly=readonly)

[docs]class Bool(PrimitiveProperty): """ Accept boolean values. Args: default (obj, 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 BoolModel(HasProps): ... prop = Bool(default=False) ... >>> m = BoolModel() >>> m.prop = True >>> m.prop = False >>> m.prop = 10 # ValueError !! """ _underlying_type = bokeh_bool_types def __init__(self, default=False, *, help=None, serialized=None, readonly=False): super().__init__(default=default, help=help, serialized=serialized, readonly=readonly)
[docs]class Complex(PrimitiveProperty): """ Accept complex floating point values. Args: default (complex, 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) """ _underlying_type = (numbers.Complex,) def __init__(self, default=0j, *, help=None, serialized=None, readonly=False): super().__init__(default=default, help=help, serialized=serialized, readonly=readonly)
[docs]class Int(PrimitiveProperty): """ Accept signed integer values. Args: default (int, 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 IntModel(HasProps): ... prop = Int() ... >>> m = IntModel() >>> m.prop = 10 >>> m.prop = -200 >>> m.prop = 10.3 # ValueError !! """ _underlying_type = bokeh_integer_types def __init__(self, default=0, *, help=None, serialized=None, readonly=False): super().__init__(default=default, help=help, serialized=serialized, readonly=readonly)
[docs]class Float(PrimitiveProperty): """ Accept floating point 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 FloatModel(HasProps): ... prop = Float() ... >>> m = FloatModel() >>> m.prop = 10 >>> m.prop = 10.3 >>> m.prop = "foo" # ValueError !! """ _underlying_type = (numbers.Real,) def __init__(self, default=0.0, *, help=None, serialized=None, readonly=False): super().__init__(default=default, help=help, serialized=serialized, readonly=readonly)
[docs]class String(PrimitiveProperty): """ Accept string values. Args: default (string, 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 StringModel(HasProps): ... prop = String() ... >>> m = StringModel() >>> m.prop = "foo" >>> m.prop = 10.3 # ValueError !! >>> m.prop = [1, 2, 3] # ValueError !! """ _underlying_type = (str,) def __init__(self, default="", *, help=None, serialized=None, readonly=False): super().__init__(default=default, help=help, serialized=serialized, readonly=readonly)
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