Source code for bokeh.models.text

#-----------------------------------------------------------------------------
# Copyright (c) 2012 - 2022, Anaconda, Inc., and Bokeh Contributors.
# All rights reserved.
#
# The full license is in the file LICENSE.txt, distributed with this software.
#-----------------------------------------------------------------------------
''' Text-related models
'''

#-----------------------------------------------------------------------------
# Boilerplate
#-----------------------------------------------------------------------------
from __future__ import annotations

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

#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------

# Bokeh imports
from ..core.has_props import abstract
from ..core.properties import (
    Bool,
    Dict,
    Either,
    Int,
    Required,
    String,
    Tuple,
)
from ..model import Model

#-----------------------------------------------------------------------------
# Globals and constants
#-----------------------------------------------------------------------------

__all__ = (
    "Ascii",
    "MathML",
    "MathText",
    "PlainText",
    "TeX",
)

#-----------------------------------------------------------------------------
# General API
#-----------------------------------------------------------------------------

@abstract
class BaseText(Model):
    """
    Base class for renderers of text content of various kinds.
    """

    def __init__(self, *args, **kwargs) -> None:
        if len(args) == 1 and "text" not in kwargs:
            kwargs["text"] = args[0]

        super().__init__(**kwargs)

    text = Required(String, help="""
    The text value to render.
    """)

@abstract
class MathText(BaseText):
    """ Base class for renderers of mathematical content.

    """

    # explicit __init__ to support Init signatures
    def __init__(self, *args, **kwargs) -> None:
        super().__init__(*args, **kwargs)

class Ascii(MathText):
    """ Render mathematical content using `AsciiMath <http://asciimath.org/>`_
    notation.

    """

    # explicit __init__ to support Init signatures
    def __init__(self, *args, **kwargs) -> None:
        super().__init__(*args, **kwargs)

class MathML(MathText):
    """ Render mathematical content using `MathML <https://www.w3.org/Math/>`_
    notation.

    See :ref:`ug_styling_mathtext` in the |user guide| for more information.

    """

    # explicit __init__ to support Init signatures
    def __init__(self, *args, **kwargs) -> None:
        super().__init__(*args, **kwargs)

class TeX(MathText):
    """ Render mathematical content using `LaTeX <https://www.latex-project.org/>`_
    notation.

    See :ref:`ug_styling_mathtext` in the |user guide| for more information.

    .. note::
        Bokeh uses `MathJax <https://www.mathjax.org>`_ to render text
        containing mathematical notation.

        MathJax only supports math-mode macros (no text-mode macros). You
        can see more about differences between standard TeX/LaTeX and MathJax
        here: https://docs.mathjax.org/en/latest/input/tex/differences.html

    """

    # explicit __init__ to support Init signatures
    def __init__(self, *args, **kwargs) -> None:
        super().__init__(*args, **kwargs)

    macros = Dict(String, Either(String, Tuple(String, Int)), help="""
    User defined TeX macros.

    This is a mapping from control sequence names (without leading backslash) to
    either replacement strings or tuples of a replacement string and a number
    of arguments.

    Example:

    .. code-block:: python

        TeX(text=r"\\R \\rightarrow \\R^2", macros={"RR": r"{\\bf R}"})

    """)

    inline = Bool(default=False, help="""
    Whether the math text is inline display or not (for TeX input). Default is False.
    """)

class PlainText(BaseText):
    """ Represents plain text in contexts where text parsing is allowed.

    """

    # explicit __init__ to support Init signatures
    def __init__(self, *args, **kwargs) -> None:
        super().__init__(*args, **kwargs)

#-----------------------------------------------------------------------------
# Dev API
#-----------------------------------------------------------------------------

#-----------------------------------------------------------------------------
# Private API
#-----------------------------------------------------------------------------

#-----------------------------------------------------------------------------
# Code
#-----------------------------------------------------------------------------