#-----------------------------------------------------------------------------
# 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
#-----------------------------------------------------------------------------
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
#-----------------------------------------------------------------------------
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
#-----------------------------------------------------------------------------
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)
#-----------------------------------------------------------------------------
# Dev API
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#-----------------------------------------------------------------------------
# Private API
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#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------