repo stringclasses 85
values | path stringlengths 8 121 | func_name stringlengths 1 82 | original_string stringlengths 112 65.5k | language stringclasses 1
value | code stringlengths 112 65.5k | code_tokens listlengths 20 4.09k | docstring stringlengths 3 46.3k | docstring_tokens listlengths 1 564 | sha stringclasses 85
values | url stringlengths 93 218 | partition stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|
bokeh/bokeh | bokeh/server/tornado.py | BokehTornado.start | def start(self):
''' Start the Bokeh Server application.
Starting the Bokeh Server Tornado application will run periodic
callbacks for stats logging, cleanup, pinging, etc. Additionally, any
startup hooks defined by the configured Bokeh applications will be run.
'''
sel... | python | def start(self):
''' Start the Bokeh Server application.
Starting the Bokeh Server Tornado application will run periodic
callbacks for stats logging, cleanup, pinging, etc. Additionally, any
startup hooks defined by the configured Bokeh applications will be run.
'''
sel... | [
"def",
"start",
"(",
"self",
")",
":",
"self",
".",
"_stats_job",
".",
"start",
"(",
")",
"if",
"self",
".",
"_mem_job",
"is",
"not",
"None",
":",
"self",
".",
"_mem_job",
".",
"start",
"(",
")",
"self",
".",
"_cleanup_job",
".",
"start",
"(",
")",... | Start the Bokeh Server application.
Starting the Bokeh Server Tornado application will run periodic
callbacks for stats logging, cleanup, pinging, etc. Additionally, any
startup hooks defined by the configured Bokeh applications will be run. | [
"Start",
"the",
"Bokeh",
"Server",
"application",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/tornado.py#L425-L441 | train |
bokeh/bokeh | bokeh/server/tornado.py | BokehTornado.stop | def stop(self, wait=True):
''' Stop the Bokeh Server application.
Args:
wait (bool): whether to wait for orderly cleanup (default: True)
Returns:
None
'''
# TODO should probably close all connections and shut down all sessions here
for context ... | python | def stop(self, wait=True):
''' Stop the Bokeh Server application.
Args:
wait (bool): whether to wait for orderly cleanup (default: True)
Returns:
None
'''
# TODO should probably close all connections and shut down all sessions here
for context ... | [
"def",
"stop",
"(",
"self",
",",
"wait",
"=",
"True",
")",
":",
"# TODO should probably close all connections and shut down all sessions here",
"for",
"context",
"in",
"self",
".",
"_applications",
".",
"values",
"(",
")",
":",
"context",
".",
"run_unload_hook",
"("... | Stop the Bokeh Server application.
Args:
wait (bool): whether to wait for orderly cleanup (default: True)
Returns:
None | [
"Stop",
"the",
"Bokeh",
"Server",
"application",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/tornado.py#L443-L465 | train |
bokeh/bokeh | bokeh/server/tornado.py | BokehTornado.get_session | def get_session(self, app_path, session_id):
''' Get an active a session by name application path and session ID.
Args:
app_path (str) :
The configured application path for the application to return
a session for.
session_id (str) :
... | python | def get_session(self, app_path, session_id):
''' Get an active a session by name application path and session ID.
Args:
app_path (str) :
The configured application path for the application to return
a session for.
session_id (str) :
... | [
"def",
"get_session",
"(",
"self",
",",
"app_path",
",",
"session_id",
")",
":",
"if",
"app_path",
"not",
"in",
"self",
".",
"_applications",
":",
"raise",
"ValueError",
"(",
"\"Application %s does not exist on this server\"",
"%",
"app_path",
")",
"return",
"self... | Get an active a session by name application path and session ID.
Args:
app_path (str) :
The configured application path for the application to return
a session for.
session_id (str) :
The session ID of the session to retrieve.
Re... | [
"Get",
"an",
"active",
"a",
"session",
"by",
"name",
"application",
"path",
"and",
"session",
"ID",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/tornado.py#L476-L493 | train |
bokeh/bokeh | bokeh/server/tornado.py | BokehTornado.get_sessions | def get_sessions(self, app_path):
''' Gets all currently active sessions for an application.
Args:
app_path (str) :
The configured application path for the application to return
sessions for.
Returns:
list[ServerSession]
'''
... | python | def get_sessions(self, app_path):
''' Gets all currently active sessions for an application.
Args:
app_path (str) :
The configured application path for the application to return
sessions for.
Returns:
list[ServerSession]
'''
... | [
"def",
"get_sessions",
"(",
"self",
",",
"app_path",
")",
":",
"if",
"app_path",
"not",
"in",
"self",
".",
"_applications",
":",
"raise",
"ValueError",
"(",
"\"Application %s does not exist on this server\"",
"%",
"app_path",
")",
"return",
"list",
"(",
"self",
... | Gets all currently active sessions for an application.
Args:
app_path (str) :
The configured application path for the application to return
sessions for.
Returns:
list[ServerSession] | [
"Gets",
"all",
"currently",
"active",
"sessions",
"for",
"an",
"application",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/tornado.py#L495-L509 | train |
bokeh/bokeh | bokeh/core/validation/decorators.py | _validator | def _validator(code_or_name, validator_type):
''' Internal shared implementation to handle both error and warning
validation checks.
Args:
code code_or_name (int or str) : a defined error code or custom message
validator_type (str) : either "error" or "warning"
Returns:
validat... | python | def _validator(code_or_name, validator_type):
''' Internal shared implementation to handle both error and warning
validation checks.
Args:
code code_or_name (int or str) : a defined error code or custom message
validator_type (str) : either "error" or "warning"
Returns:
validat... | [
"def",
"_validator",
"(",
"code_or_name",
",",
"validator_type",
")",
":",
"if",
"validator_type",
"==",
"\"error\"",
":",
"from",
".",
"errors",
"import",
"codes",
"from",
".",
"errors",
"import",
"EXT",
"elif",
"validator_type",
"==",
"\"warning\"",
":",
"fr... | Internal shared implementation to handle both error and warning
validation checks.
Args:
code code_or_name (int or str) : a defined error code or custom message
validator_type (str) : either "error" or "warning"
Returns:
validation decorator | [
"Internal",
"shared",
"implementation",
"to",
"handle",
"both",
"error",
"and",
"warning",
"validation",
"checks",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/validation/decorators.py#L44-L80 | train |
bokeh/bokeh | bokeh/core/query.py | find | def find(objs, selector, context=None):
''' Query a collection of Bokeh models and yield any that match the
a selector.
Args:
obj (Model) : object to test
selector (JSON-like) : query selector
context (dict) : kwargs to supply callable query attributes
Yields:
Model : o... | python | def find(objs, selector, context=None):
''' Query a collection of Bokeh models and yield any that match the
a selector.
Args:
obj (Model) : object to test
selector (JSON-like) : query selector
context (dict) : kwargs to supply callable query attributes
Yields:
Model : o... | [
"def",
"find",
"(",
"objs",
",",
"selector",
",",
"context",
"=",
"None",
")",
":",
"return",
"(",
"obj",
"for",
"obj",
"in",
"objs",
"if",
"match",
"(",
"obj",
",",
"selector",
",",
"context",
")",
")"
] | Query a collection of Bokeh models and yield any that match the
a selector.
Args:
obj (Model) : object to test
selector (JSON-like) : query selector
context (dict) : kwargs to supply callable query attributes
Yields:
Model : objects that match the query
Queries are spe... | [
"Query",
"a",
"collection",
"of",
"Bokeh",
"models",
"and",
"yield",
"any",
"that",
"match",
"the",
"a",
"selector",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/query.py#L52-L87 | train |
bokeh/bokeh | bokeh/core/query.py | match | def match(obj, selector, context=None):
''' Test whether a given Bokeh model matches a given selector.
Args:
obj (Model) : object to test
selector (JSON-like) : query selector
context (dict) : kwargs to supply callable query attributes
Returns:
bool : True if the object mat... | python | def match(obj, selector, context=None):
''' Test whether a given Bokeh model matches a given selector.
Args:
obj (Model) : object to test
selector (JSON-like) : query selector
context (dict) : kwargs to supply callable query attributes
Returns:
bool : True if the object mat... | [
"def",
"match",
"(",
"obj",
",",
"selector",
",",
"context",
"=",
"None",
")",
":",
"context",
"=",
"context",
"or",
"{",
"}",
"for",
"key",
",",
"val",
"in",
"selector",
".",
"items",
"(",
")",
":",
"# test attributes",
"if",
"isinstance",
"(",
"key... | Test whether a given Bokeh model matches a given selector.
Args:
obj (Model) : object to test
selector (JSON-like) : query selector
context (dict) : kwargs to supply callable query attributes
Returns:
bool : True if the object matches, False otherwise
In general, the selec... | [
"Test",
"whether",
"a",
"given",
"Bokeh",
"model",
"matches",
"a",
"given",
"selector",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/query.py#L89-L211 | train |
bokeh/bokeh | bokeh/sphinxext/bokeh_gallery.py | setup | def setup(app):
''' Required Sphinx extension setup function. '''
app.add_config_value('bokeh_gallery_dir', join("docs", "gallery"), 'html')
app.connect('config-inited', config_inited_handler)
app.add_directive('bokeh-gallery', BokehGalleryDirective) | python | def setup(app):
''' Required Sphinx extension setup function. '''
app.add_config_value('bokeh_gallery_dir', join("docs", "gallery"), 'html')
app.connect('config-inited', config_inited_handler)
app.add_directive('bokeh-gallery', BokehGalleryDirective) | [
"def",
"setup",
"(",
"app",
")",
":",
"app",
".",
"add_config_value",
"(",
"'bokeh_gallery_dir'",
",",
"join",
"(",
"\"docs\"",
",",
"\"gallery\"",
")",
",",
"'html'",
")",
"app",
".",
"connect",
"(",
"'config-inited'",
",",
"config_inited_handler",
")",
"ap... | Required Sphinx extension setup function. | [
"Required",
"Sphinx",
"extension",
"setup",
"function",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/sphinxext/bokeh_gallery.py#L124-L128 | train |
bokeh/bokeh | bokeh/io/util.py | default_filename | def default_filename(ext):
''' Generate a default filename with a given extension, attempting to use
the filename of the currently running process, if possible.
If the filename of the current process is not available (or would not be
writable), then a temporary file with the given extension is returned... | python | def default_filename(ext):
''' Generate a default filename with a given extension, attempting to use
the filename of the currently running process, if possible.
If the filename of the current process is not available (or would not be
writable), then a temporary file with the given extension is returned... | [
"def",
"default_filename",
"(",
"ext",
")",
":",
"if",
"ext",
"==",
"\"py\"",
":",
"raise",
"RuntimeError",
"(",
"\"asked for a default filename with 'py' extension\"",
")",
"filename",
"=",
"detect_current_filename",
"(",
")",
"if",
"filename",
"is",
"None",
":",
... | Generate a default filename with a given extension, attempting to use
the filename of the currently running process, if possible.
If the filename of the current process is not available (or would not be
writable), then a temporary file with the given extension is returned.
Args:
ext (str) : th... | [
"Generate",
"a",
"default",
"filename",
"with",
"a",
"given",
"extension",
"attempting",
"to",
"use",
"the",
"filename",
"of",
"the",
"currently",
"running",
"process",
"if",
"possible",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/util.py#L50-L82 | train |
bokeh/bokeh | bokeh/io/util.py | detect_current_filename | def detect_current_filename():
''' Attempt to return the filename of the currently running Python process
Returns None if the filename cannot be detected.
'''
import inspect
filename = None
frame = inspect.currentframe()
try:
while frame.f_back and frame.f_globals.get('name') != '_... | python | def detect_current_filename():
''' Attempt to return the filename of the currently running Python process
Returns None if the filename cannot be detected.
'''
import inspect
filename = None
frame = inspect.currentframe()
try:
while frame.f_back and frame.f_globals.get('name') != '_... | [
"def",
"detect_current_filename",
"(",
")",
":",
"import",
"inspect",
"filename",
"=",
"None",
"frame",
"=",
"inspect",
".",
"currentframe",
"(",
")",
"try",
":",
"while",
"frame",
".",
"f_back",
"and",
"frame",
".",
"f_globals",
".",
"get",
"(",
"'name'",... | Attempt to return the filename of the currently running Python process
Returns None if the filename cannot be detected. | [
"Attempt",
"to",
"return",
"the",
"filename",
"of",
"the",
"currently",
"running",
"Python",
"process"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/util.py#L84-L101 | train |
bokeh/bokeh | bokeh/io/util.py | _no_access | def _no_access(basedir):
''' Return True if the given base dir is not accessible or writeable
'''
import os
return not os.access(basedir, os.W_OK | os.X_OK) | python | def _no_access(basedir):
''' Return True if the given base dir is not accessible or writeable
'''
import os
return not os.access(basedir, os.W_OK | os.X_OK) | [
"def",
"_no_access",
"(",
"basedir",
")",
":",
"import",
"os",
"return",
"not",
"os",
".",
"access",
"(",
"basedir",
",",
"os",
".",
"W_OK",
"|",
"os",
".",
"X_OK",
")"
] | Return True if the given base dir is not accessible or writeable | [
"Return",
"True",
"if",
"the",
"given",
"base",
"dir",
"is",
"not",
"accessible",
"or",
"writeable"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/util.py#L113-L118 | train |
bokeh/bokeh | bokeh/io/util.py | _shares_exec_prefix | def _shares_exec_prefix(basedir):
''' Whether a give base directory is on the system exex prefix
'''
import sys
prefix = sys.exec_prefix
return (prefix is not None and basedir.startswith(prefix)) | python | def _shares_exec_prefix(basedir):
''' Whether a give base directory is on the system exex prefix
'''
import sys
prefix = sys.exec_prefix
return (prefix is not None and basedir.startswith(prefix)) | [
"def",
"_shares_exec_prefix",
"(",
"basedir",
")",
":",
"import",
"sys",
"prefix",
"=",
"sys",
".",
"exec_prefix",
"return",
"(",
"prefix",
"is",
"not",
"None",
"and",
"basedir",
".",
"startswith",
"(",
"prefix",
")",
")"
] | Whether a give base directory is on the system exex prefix | [
"Whether",
"a",
"give",
"base",
"directory",
"is",
"on",
"the",
"system",
"exex",
"prefix"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/util.py#L120-L126 | train |
bokeh/bokeh | bokeh/sphinxext/bokeh_palette_group.py | setup | def setup(app):
''' Required Sphinx extension setup function. '''
app.add_node(bokeh_palette_group, html=(html_visit_bokeh_palette_group, None))
app.add_directive('bokeh-palette-group', BokehPaletteGroupDirective) | python | def setup(app):
''' Required Sphinx extension setup function. '''
app.add_node(bokeh_palette_group, html=(html_visit_bokeh_palette_group, None))
app.add_directive('bokeh-palette-group', BokehPaletteGroupDirective) | [
"def",
"setup",
"(",
"app",
")",
":",
"app",
".",
"add_node",
"(",
"bokeh_palette_group",
",",
"html",
"=",
"(",
"html_visit_bokeh_palette_group",
",",
"None",
")",
")",
"app",
".",
"add_directive",
"(",
"'bokeh-palette-group'",
",",
"BokehPaletteGroupDirective",
... | Required Sphinx extension setup function. | [
"Required",
"Sphinx",
"extension",
"setup",
"function",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/sphinxext/bokeh_palette_group.py#L100-L103 | train |
bokeh/bokeh | bokeh/command/subcommands/file_output.py | FileOutputSubcommand.other_args | def other_args(cls):
''' Return args for ``-o`` / ``--output`` to specify where output
should be written, and for a ``--args`` to pass on any additional
command line args to the subcommand.
Subclasses should append these to their class ``args``.
Example:
.. code-bl... | python | def other_args(cls):
''' Return args for ``-o`` / ``--output`` to specify where output
should be written, and for a ``--args`` to pass on any additional
command line args to the subcommand.
Subclasses should append these to their class ``args``.
Example:
.. code-bl... | [
"def",
"other_args",
"(",
"cls",
")",
":",
"return",
"(",
"(",
"(",
"'-o'",
",",
"'--output'",
")",
",",
"dict",
"(",
"metavar",
"=",
"'FILENAME'",
",",
"action",
"=",
"'append'",
",",
"type",
"=",
"str",
",",
"help",
"=",
"\"Name of the output file or -... | Return args for ``-o`` / ``--output`` to specify where output
should be written, and for a ``--args`` to pass on any additional
command line args to the subcommand.
Subclasses should append these to their class ``args``.
Example:
.. code-block:: python
cla... | [
"Return",
"args",
"for",
"-",
"o",
"/",
"--",
"output",
"to",
"specify",
"where",
"output",
"should",
"be",
"written",
"and",
"for",
"a",
"--",
"args",
"to",
"pass",
"on",
"any",
"additional",
"command",
"line",
"args",
"to",
"the",
"subcommand",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/command/subcommands/file_output.py#L89-L124 | train |
bokeh/bokeh | bokeh/plotting/helpers.py | _pop_colors_and_alpha | def _pop_colors_and_alpha(glyphclass, kwargs, prefix="", default_alpha=1.0):
"""
Given a kwargs dict, a prefix, and a default value, looks for different
color and alpha fields of the given prefix, and fills in the default value
if it doesn't exist.
"""
result = dict()
# TODO: The need to do... | python | def _pop_colors_and_alpha(glyphclass, kwargs, prefix="", default_alpha=1.0):
"""
Given a kwargs dict, a prefix, and a default value, looks for different
color and alpha fields of the given prefix, and fills in the default value
if it doesn't exist.
"""
result = dict()
# TODO: The need to do... | [
"def",
"_pop_colors_and_alpha",
"(",
"glyphclass",
",",
"kwargs",
",",
"prefix",
"=",
"\"\"",
",",
"default_alpha",
"=",
"1.0",
")",
":",
"result",
"=",
"dict",
"(",
")",
"# TODO: The need to do this and the complexity of managing this kind of",
"# thing throughout the co... | Given a kwargs dict, a prefix, and a default value, looks for different
color and alpha fields of the given prefix, and fills in the default value
if it doesn't exist. | [
"Given",
"a",
"kwargs",
"dict",
"a",
"prefix",
"and",
"a",
"default",
"value",
"looks",
"for",
"different",
"color",
"and",
"alpha",
"fields",
"of",
"the",
"given",
"prefix",
"and",
"fills",
"in",
"the",
"default",
"value",
"if",
"it",
"doesn",
"t",
"exi... | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/plotting/helpers.py#L286-L315 | train |
bokeh/bokeh | bokeh/plotting/helpers.py | _tool_from_string | def _tool_from_string(name):
""" Takes a string and returns a corresponding `Tool` instance. """
known_tools = sorted(_known_tools.keys())
if name in known_tools:
tool_fn = _known_tools[name]
if isinstance(tool_fn, string_types):
tool_fn = _known_tools[tool_fn]
return ... | python | def _tool_from_string(name):
""" Takes a string and returns a corresponding `Tool` instance. """
known_tools = sorted(_known_tools.keys())
if name in known_tools:
tool_fn = _known_tools[name]
if isinstance(tool_fn, string_types):
tool_fn = _known_tools[tool_fn]
return ... | [
"def",
"_tool_from_string",
"(",
"name",
")",
":",
"known_tools",
"=",
"sorted",
"(",
"_known_tools",
".",
"keys",
"(",
")",
")",
"if",
"name",
"in",
"known_tools",
":",
"tool_fn",
"=",
"_known_tools",
"[",
"name",
"]",
"if",
"isinstance",
"(",
"tool_fn",
... | Takes a string and returns a corresponding `Tool` instance. | [
"Takes",
"a",
"string",
"and",
"returns",
"a",
"corresponding",
"Tool",
"instance",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/plotting/helpers.py#L544-L561 | train |
bokeh/bokeh | bokeh/plotting/helpers.py | _process_tools_arg | def _process_tools_arg(plot, tools, tooltips=None):
""" Adds tools to the plot object
Args:
plot (Plot): instance of a plot object
tools (seq[Tool or str]|str): list of tool types or string listing the
tool names. Those are converted using the _tool_from_string
function.... | python | def _process_tools_arg(plot, tools, tooltips=None):
""" Adds tools to the plot object
Args:
plot (Plot): instance of a plot object
tools (seq[Tool or str]|str): list of tool types or string listing the
tool names. Those are converted using the _tool_from_string
function.... | [
"def",
"_process_tools_arg",
"(",
"plot",
",",
"tools",
",",
"tooltips",
"=",
"None",
")",
":",
"tool_objs",
"=",
"[",
"]",
"tool_map",
"=",
"{",
"}",
"temp_tool_str",
"=",
"\"\"",
"repeated_tools",
"=",
"[",
"]",
"if",
"isinstance",
"(",
"tools",
",",
... | Adds tools to the plot object
Args:
plot (Plot): instance of a plot object
tools (seq[Tool or str]|str): list of tool types or string listing the
tool names. Those are converted using the _tool_from_string
function. I.e.: `wheel_zoom,box_zoom,reset`.
tooltips (string... | [
"Adds",
"tools",
"to",
"the",
"plot",
"object"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/plotting/helpers.py#L584-L638 | train |
bokeh/bokeh | bokeh/plotting/helpers.py | _process_active_tools | def _process_active_tools(toolbar, tool_map, active_drag, active_inspect, active_scroll, active_tap):
""" Adds tools to the plot object
Args:
toolbar (Toolbar): instance of a Toolbar object
tools_map (dict[str]|Tool): tool_map from _process_tools_arg
active_drag (str or Tool): the tool ... | python | def _process_active_tools(toolbar, tool_map, active_drag, active_inspect, active_scroll, active_tap):
""" Adds tools to the plot object
Args:
toolbar (Toolbar): instance of a Toolbar object
tools_map (dict[str]|Tool): tool_map from _process_tools_arg
active_drag (str or Tool): the tool ... | [
"def",
"_process_active_tools",
"(",
"toolbar",
",",
"tool_map",
",",
"active_drag",
",",
"active_inspect",
",",
"active_scroll",
",",
"active_tap",
")",
":",
"if",
"active_drag",
"in",
"[",
"'auto'",
",",
"None",
"]",
"or",
"isinstance",
"(",
"active_drag",
"... | Adds tools to the plot object
Args:
toolbar (Toolbar): instance of a Toolbar object
tools_map (dict[str]|Tool): tool_map from _process_tools_arg
active_drag (str or Tool): the tool to set active for drag
active_inspect (str or Tool): the tool to set active for inspect
active... | [
"Adds",
"tools",
"to",
"the",
"plot",
"object"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/plotting/helpers.py#L641-L684 | train |
bokeh/bokeh | bokeh/models/callbacks.py | CustomJS.from_py_func | def from_py_func(cls, func):
""" Create a ``CustomJS`` instance from a Python function. The
function is translated to JavaScript using PScript.
"""
from bokeh.util.deprecation import deprecated
deprecated("'from_py_func' is deprecated and will be removed in an eventual 2.0 releas... | python | def from_py_func(cls, func):
""" Create a ``CustomJS`` instance from a Python function. The
function is translated to JavaScript using PScript.
"""
from bokeh.util.deprecation import deprecated
deprecated("'from_py_func' is deprecated and will be removed in an eventual 2.0 releas... | [
"def",
"from_py_func",
"(",
"cls",
",",
"func",
")",
":",
"from",
"bokeh",
".",
"util",
".",
"deprecation",
"import",
"deprecated",
"deprecated",
"(",
"\"'from_py_func' is deprecated and will be removed in an eventual 2.0 release. \"",
"\"Use CustomJS directly instead.\"",
")... | Create a ``CustomJS`` instance from a Python function. The
function is translated to JavaScript using PScript. | [
"Create",
"a",
"CustomJS",
"instance",
"from",
"a",
"Python",
"function",
".",
"The",
"function",
"is",
"translated",
"to",
"JavaScript",
"using",
"PScript",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/callbacks.py#L85-L106 | train |
bokeh/bokeh | bokeh/client/websocket.py | WebSocketClientConnectionWrapper.write_message | def write_message(self, message, binary=False, locked=True):
''' Write a message to the websocket after obtaining the appropriate
Bokeh Document lock.
'''
def write_message_unlocked():
if self._socket.protocol is None:
# Tornado is maybe supposed to do this, ... | python | def write_message(self, message, binary=False, locked=True):
''' Write a message to the websocket after obtaining the appropriate
Bokeh Document lock.
'''
def write_message_unlocked():
if self._socket.protocol is None:
# Tornado is maybe supposed to do this, ... | [
"def",
"write_message",
"(",
"self",
",",
"message",
",",
"binary",
"=",
"False",
",",
"locked",
"=",
"True",
")",
":",
"def",
"write_message_unlocked",
"(",
")",
":",
"if",
"self",
".",
"_socket",
".",
"protocol",
"is",
"None",
":",
"# Tornado is maybe su... | Write a message to the websocket after obtaining the appropriate
Bokeh Document lock. | [
"Write",
"a",
"message",
"to",
"the",
"websocket",
"after",
"obtaining",
"the",
"appropriate",
"Bokeh",
"Document",
"lock",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/client/websocket.py#L62-L86 | train |
bokeh/bokeh | bokeh/resources.py | BaseResources._collect_external_resources | def _collect_external_resources(self, resource_attr):
""" Collect external resources set on resource_attr attribute of all models."""
external_resources = []
for _, cls in sorted(Model.model_class_reverse_map.items(), key=lambda arg: arg[0]):
external = getattr(cls, resource_attr, ... | python | def _collect_external_resources(self, resource_attr):
""" Collect external resources set on resource_attr attribute of all models."""
external_resources = []
for _, cls in sorted(Model.model_class_reverse_map.items(), key=lambda arg: arg[0]):
external = getattr(cls, resource_attr, ... | [
"def",
"_collect_external_resources",
"(",
"self",
",",
"resource_attr",
")",
":",
"external_resources",
"=",
"[",
"]",
"for",
"_",
",",
"cls",
"in",
"sorted",
"(",
"Model",
".",
"model_class_reverse_map",
".",
"items",
"(",
")",
",",
"key",
"=",
"lambda",
... | Collect external resources set on resource_attr attribute of all models. | [
"Collect",
"external",
"resources",
"set",
"on",
"resource_attr",
"attribute",
"of",
"all",
"models",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/resources.py#L155-L171 | train |
bokeh/bokeh | bokeh/settings.py | _Settings.py_log_level | def py_log_level(self, default='none'):
''' Set the log level for python Bokeh code.
'''
level = self._get_str("PY_LOG_LEVEL", default, "debug")
LEVELS = {'trace': logging.TRACE,
'debug': logging.DEBUG,
'info' : logging.INFO,
'warn' ... | python | def py_log_level(self, default='none'):
''' Set the log level for python Bokeh code.
'''
level = self._get_str("PY_LOG_LEVEL", default, "debug")
LEVELS = {'trace': logging.TRACE,
'debug': logging.DEBUG,
'info' : logging.INFO,
'warn' ... | [
"def",
"py_log_level",
"(",
"self",
",",
"default",
"=",
"'none'",
")",
":",
"level",
"=",
"self",
".",
"_get_str",
"(",
"\"PY_LOG_LEVEL\"",
",",
"default",
",",
"\"debug\"",
")",
"LEVELS",
"=",
"{",
"'trace'",
":",
"logging",
".",
"TRACE",
",",
"'debug'... | Set the log level for python Bokeh code. | [
"Set",
"the",
"log",
"level",
"for",
"python",
"Bokeh",
"code",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/settings.py#L275-L287 | train |
bokeh/bokeh | bokeh/settings.py | _Settings.secret_key_bytes | def secret_key_bytes(self):
''' Return the secret_key, converted to bytes and cached.
'''
if not hasattr(self, '_secret_key_bytes'):
key = self.secret_key()
if key is None:
self._secret_key_bytes = None
else:
self._secret_key_b... | python | def secret_key_bytes(self):
''' Return the secret_key, converted to bytes and cached.
'''
if not hasattr(self, '_secret_key_bytes'):
key = self.secret_key()
if key is None:
self._secret_key_bytes = None
else:
self._secret_key_b... | [
"def",
"secret_key_bytes",
"(",
"self",
")",
":",
"if",
"not",
"hasattr",
"(",
"self",
",",
"'_secret_key_bytes'",
")",
":",
"key",
"=",
"self",
".",
"secret_key",
"(",
")",
"if",
"key",
"is",
"None",
":",
"self",
".",
"_secret_key_bytes",
"=",
"None",
... | Return the secret_key, converted to bytes and cached. | [
"Return",
"the",
"secret_key",
"converted",
"to",
"bytes",
"and",
"cached",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/settings.py#L315-L325 | train |
bokeh/bokeh | bokeh/settings.py | _Settings.bokehjssrcdir | def bokehjssrcdir(self):
''' The absolute path of the BokehJS source code in the installed
Bokeh source tree.
'''
if self._is_dev or self.debugjs:
bokehjssrcdir = abspath(join(ROOT_DIR, '..', 'bokehjs', 'src'))
if isdir(bokehjssrcdir):
return bok... | python | def bokehjssrcdir(self):
''' The absolute path of the BokehJS source code in the installed
Bokeh source tree.
'''
if self._is_dev or self.debugjs:
bokehjssrcdir = abspath(join(ROOT_DIR, '..', 'bokehjs', 'src'))
if isdir(bokehjssrcdir):
return bok... | [
"def",
"bokehjssrcdir",
"(",
"self",
")",
":",
"if",
"self",
".",
"_is_dev",
"or",
"self",
".",
"debugjs",
":",
"bokehjssrcdir",
"=",
"abspath",
"(",
"join",
"(",
"ROOT_DIR",
",",
"'..'",
",",
"'bokehjs'",
",",
"'src'",
")",
")",
"if",
"isdir",
"(",
... | The absolute path of the BokehJS source code in the installed
Bokeh source tree. | [
"The",
"absolute",
"path",
"of",
"the",
"BokehJS",
"source",
"code",
"in",
"the",
"installed",
"Bokeh",
"source",
"tree",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/settings.py#L344-L355 | train |
bokeh/bokeh | bokeh/settings.py | _Settings.css_files | def css_files(self):
''' The CSS files in the BokehJS directory.
'''
bokehjsdir = self.bokehjsdir()
js_files = []
for root, dirnames, files in os.walk(bokehjsdir):
for fname in files:
if fname.endswith(".css"):
js_files.append(join... | python | def css_files(self):
''' The CSS files in the BokehJS directory.
'''
bokehjsdir = self.bokehjsdir()
js_files = []
for root, dirnames, files in os.walk(bokehjsdir):
for fname in files:
if fname.endswith(".css"):
js_files.append(join... | [
"def",
"css_files",
"(",
"self",
")",
":",
"bokehjsdir",
"=",
"self",
".",
"bokehjsdir",
"(",
")",
"js_files",
"=",
"[",
"]",
"for",
"root",
",",
"dirnames",
",",
"files",
"in",
"os",
".",
"walk",
"(",
"bokehjsdir",
")",
":",
"for",
"fname",
"in",
... | The CSS files in the BokehJS directory. | [
"The",
"CSS",
"files",
"in",
"the",
"BokehJS",
"directory",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/settings.py#L375-L385 | train |
bokeh/bokeh | bokeh/core/json_encoder.py | serialize_json | def serialize_json(obj, pretty=None, indent=None, **kwargs):
''' Return a serialized JSON representation of objects, suitable to
send to BokehJS.
This function is typically used to serialize single python objects in
the manner expected by BokehJS. In particular, many datetime values are
automatical... | python | def serialize_json(obj, pretty=None, indent=None, **kwargs):
''' Return a serialized JSON representation of objects, suitable to
send to BokehJS.
This function is typically used to serialize single python objects in
the manner expected by BokehJS. In particular, many datetime values are
automatical... | [
"def",
"serialize_json",
"(",
"obj",
",",
"pretty",
"=",
"None",
",",
"indent",
"=",
"None",
",",
"*",
"*",
"kwargs",
")",
":",
"# these args to json.dumps are computed internally and should not be passed along",
"for",
"name",
"in",
"[",
"'allow_nan'",
",",
"'separ... | Return a serialized JSON representation of objects, suitable to
send to BokehJS.
This function is typically used to serialize single python objects in
the manner expected by BokehJS. In particular, many datetime values are
automatically normalized to an expected format. Some Bokeh objects can
also ... | [
"Return",
"a",
"serialized",
"JSON",
"representation",
"of",
"objects",
"suitable",
"to",
"send",
"to",
"BokehJS",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/json_encoder.py#L85-L161 | train |
bokeh/bokeh | bokeh/core/json_encoder.py | BokehJSONEncoder.transform_python_types | def transform_python_types(self, obj):
''' Handle special scalars such as (Python, NumPy, or Pandas)
datetimes, or Decimal values.
Args:
obj (obj) :
The object to encode. Anything not specifically handled in
this method is passed on to the default sy... | python | def transform_python_types(self, obj):
''' Handle special scalars such as (Python, NumPy, or Pandas)
datetimes, or Decimal values.
Args:
obj (obj) :
The object to encode. Anything not specifically handled in
this method is passed on to the default sy... | [
"def",
"transform_python_types",
"(",
"self",
",",
"obj",
")",
":",
"# date/time values that get serialized as milliseconds",
"if",
"is_datetime_type",
"(",
"obj",
")",
":",
"return",
"convert_datetime_type",
"(",
"obj",
")",
"if",
"is_timedelta_type",
"(",
"obj",
")"... | Handle special scalars such as (Python, NumPy, or Pandas)
datetimes, or Decimal values.
Args:
obj (obj) :
The object to encode. Anything not specifically handled in
this method is passed on to the default system JSON encoder. | [
"Handle",
"special",
"scalars",
"such",
"as",
"(",
"Python",
"NumPy",
"or",
"Pandas",
")",
"datetimes",
"or",
"Decimal",
"values",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/json_encoder.py#L173-L219 | train |
bokeh/bokeh | bokeh/core/json_encoder.py | BokehJSONEncoder.default | def default(self, obj):
''' The required ``default`` method for ``JSONEncoder`` subclasses.
Args:
obj (obj) :
The object to encode. Anything not specifically handled in
this method is passed on to the default system JSON encoder.
'''
from .... | python | def default(self, obj):
''' The required ``default`` method for ``JSONEncoder`` subclasses.
Args:
obj (obj) :
The object to encode. Anything not specifically handled in
this method is passed on to the default system JSON encoder.
'''
from .... | [
"def",
"default",
"(",
"self",
",",
"obj",
")",
":",
"from",
".",
".",
"model",
"import",
"Model",
"from",
".",
".",
"colors",
"import",
"Color",
"from",
".",
"has_props",
"import",
"HasProps",
"# array types -- use force_list here, only binary",
"# encoding CDS c... | The required ``default`` method for ``JSONEncoder`` subclasses.
Args:
obj (obj) :
The object to encode. Anything not specifically handled in
this method is passed on to the default system JSON encoder. | [
"The",
"required",
"default",
"method",
"for",
"JSONEncoder",
"subclasses",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/json_encoder.py#L221-L252 | train |
bokeh/bokeh | bokeh/application/application.py | Application.add | def add(self, handler):
''' Add a handler to the pipeline used to initialize new documents.
Args:
handler (Handler) : a handler for this Application to use to
process Documents
'''
self._handlers.append(handler)
# make sure there is at most one stat... | python | def add(self, handler):
''' Add a handler to the pipeline used to initialize new documents.
Args:
handler (Handler) : a handler for this Application to use to
process Documents
'''
self._handlers.append(handler)
# make sure there is at most one stat... | [
"def",
"add",
"(",
"self",
",",
"handler",
")",
":",
"self",
".",
"_handlers",
".",
"append",
"(",
"handler",
")",
"# make sure there is at most one static path",
"static_paths",
"=",
"set",
"(",
"h",
".",
"static_path",
"(",
")",
"for",
"h",
"in",
"self",
... | Add a handler to the pipeline used to initialize new documents.
Args:
handler (Handler) : a handler for this Application to use to
process Documents | [
"Add",
"a",
"handler",
"to",
"the",
"pipeline",
"used",
"to",
"initialize",
"new",
"documents",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/application/application.py#L142-L160 | train |
bokeh/bokeh | bokeh/application/application.py | Application.initialize_document | def initialize_document(self, doc):
''' Fills in a new document using the Application's handlers.
'''
for h in self._handlers:
# TODO (havocp) we need to check the 'failed' flag on each handler
# and build a composite error display. In develop mode, we want to
... | python | def initialize_document(self, doc):
''' Fills in a new document using the Application's handlers.
'''
for h in self._handlers:
# TODO (havocp) we need to check the 'failed' flag on each handler
# and build a composite error display. In develop mode, we want to
... | [
"def",
"initialize_document",
"(",
"self",
",",
"doc",
")",
":",
"for",
"h",
"in",
"self",
".",
"_handlers",
":",
"# TODO (havocp) we need to check the 'failed' flag on each handler",
"# and build a composite error display. In develop mode, we want to",
"# somehow get these errors ... | Fills in a new document using the Application's handlers. | [
"Fills",
"in",
"a",
"new",
"document",
"using",
"the",
"Application",
"s",
"handlers",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/application/application.py#L170-L183 | train |
bokeh/bokeh | bokeh/application/application.py | Application.on_session_created | def on_session_created(self, session_context):
''' Invoked to execute code when a new session is created.
This method calls ``on_session_created`` on each handler, in order,
with the session context passed as the only argument.
May return a ``Future`` which will delay session creation ... | python | def on_session_created(self, session_context):
''' Invoked to execute code when a new session is created.
This method calls ``on_session_created`` on each handler, in order,
with the session context passed as the only argument.
May return a ``Future`` which will delay session creation ... | [
"def",
"on_session_created",
"(",
"self",
",",
"session_context",
")",
":",
"for",
"h",
"in",
"self",
".",
"_handlers",
":",
"result",
"=",
"h",
".",
"on_session_created",
"(",
"session_context",
")",
"yield",
"yield_for_all_futures",
"(",
"result",
")",
"rais... | Invoked to execute code when a new session is created.
This method calls ``on_session_created`` on each handler, in order,
with the session context passed as the only argument.
May return a ``Future`` which will delay session creation until the
``Future`` completes. | [
"Invoked",
"to",
"execute",
"code",
"when",
"a",
"new",
"session",
"is",
"created",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/application/application.py#L211-L224 | train |
bokeh/bokeh | bokeh/models/plots.py | _select_helper | def _select_helper(args, kwargs):
""" Allow flexible selector syntax.
Returns:
dict
"""
if len(args) > 1:
raise TypeError("select accepts at most ONE positional argument.")
if len(args) > 0 and len(kwargs) > 0:
raise TypeError("select accepts EITHER a positional argument, ... | python | def _select_helper(args, kwargs):
""" Allow flexible selector syntax.
Returns:
dict
"""
if len(args) > 1:
raise TypeError("select accepts at most ONE positional argument.")
if len(args) > 0 and len(kwargs) > 0:
raise TypeError("select accepts EITHER a positional argument, ... | [
"def",
"_select_helper",
"(",
"args",
",",
"kwargs",
")",
":",
"if",
"len",
"(",
"args",
")",
">",
"1",
":",
"raise",
"TypeError",
"(",
"\"select accepts at most ONE positional argument.\"",
")",
"if",
"len",
"(",
"args",
")",
">",
"0",
"and",
"len",
"(",
... | Allow flexible selector syntax.
Returns:
dict | [
"Allow",
"flexible",
"selector",
"syntax",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/plots.py#L759-L795 | train |
bokeh/bokeh | bokeh/models/plots.py | Plot.select | def select(self, *args, **kwargs):
''' Query this object and all of its references for objects that
match the given selector.
There are a few different ways to call the ``select`` method.
The most general is to supply a JSON-like query dictionary as the
single argument or as key... | python | def select(self, *args, **kwargs):
''' Query this object and all of its references for objects that
match the given selector.
There are a few different ways to call the ``select`` method.
The most general is to supply a JSON-like query dictionary as the
single argument or as key... | [
"def",
"select",
"(",
"self",
",",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"selector",
"=",
"_select_helper",
"(",
"args",
",",
"kwargs",
")",
"# Want to pass selector that is a dictionary",
"return",
"_list_attr_splat",
"(",
"find",
"(",
"self",
".",
... | Query this object and all of its references for objects that
match the given selector.
There are a few different ways to call the ``select`` method.
The most general is to supply a JSON-like query dictionary as the
single argument or as keyword arguments:
Args:
sele... | [
"Query",
"this",
"object",
"and",
"all",
"of",
"its",
"references",
"for",
"objects",
"that",
"match",
"the",
"given",
"selector",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/plots.py#L69-L124 | train |
bokeh/bokeh | bokeh/models/plots.py | Plot.legend | def legend(self):
''' Splattable list of :class:`~bokeh.models.annotations.Legend` objects.
'''
panels = self.above + self.below + self.left + self.right + self.center
legends = [obj for obj in panels if isinstance(obj, Legend)]
return _legend_attr_splat(legends) | python | def legend(self):
''' Splattable list of :class:`~bokeh.models.annotations.Legend` objects.
'''
panels = self.above + self.below + self.left + self.right + self.center
legends = [obj for obj in panels if isinstance(obj, Legend)]
return _legend_attr_splat(legends) | [
"def",
"legend",
"(",
"self",
")",
":",
"panels",
"=",
"self",
".",
"above",
"+",
"self",
".",
"below",
"+",
"self",
".",
"left",
"+",
"self",
".",
"right",
"+",
"self",
".",
"center",
"legends",
"=",
"[",
"obj",
"for",
"obj",
"in",
"panels",
"if... | Splattable list of :class:`~bokeh.models.annotations.Legend` objects. | [
"Splattable",
"list",
"of",
":",
"class",
":",
"~bokeh",
".",
"models",
".",
"annotations",
".",
"Legend",
"objects",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/plots.py#L181-L187 | train |
bokeh/bokeh | bokeh/models/plots.py | Plot.hover | def hover(self):
''' Splattable list of :class:`~bokeh.models.tools.HoverTool` objects.
'''
hovers = [obj for obj in self.tools if isinstance(obj, HoverTool)]
return _list_attr_splat(hovers) | python | def hover(self):
''' Splattable list of :class:`~bokeh.models.tools.HoverTool` objects.
'''
hovers = [obj for obj in self.tools if isinstance(obj, HoverTool)]
return _list_attr_splat(hovers) | [
"def",
"hover",
"(",
"self",
")",
":",
"hovers",
"=",
"[",
"obj",
"for",
"obj",
"in",
"self",
".",
"tools",
"if",
"isinstance",
"(",
"obj",
",",
"HoverTool",
")",
"]",
"return",
"_list_attr_splat",
"(",
"hovers",
")"
] | Splattable list of :class:`~bokeh.models.tools.HoverTool` objects. | [
"Splattable",
"list",
"of",
":",
"class",
":",
"~bokeh",
".",
"models",
".",
"tools",
".",
"HoverTool",
"objects",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/plots.py#L190-L195 | train |
bokeh/bokeh | bokeh/models/plots.py | Plot.add_layout | def add_layout(self, obj, place='center'):
''' Adds an object to the plot in a specified place.
Args:
obj (Renderer) : the object to add to the Plot
place (str, optional) : where to add the object (default: 'center')
Valid places are: 'left', 'right', 'above', 'b... | python | def add_layout(self, obj, place='center'):
''' Adds an object to the plot in a specified place.
Args:
obj (Renderer) : the object to add to the Plot
place (str, optional) : where to add the object (default: 'center')
Valid places are: 'left', 'right', 'above', 'b... | [
"def",
"add_layout",
"(",
"self",
",",
"obj",
",",
"place",
"=",
"'center'",
")",
":",
"valid_places",
"=",
"[",
"'left'",
",",
"'right'",
",",
"'above'",
",",
"'below'",
",",
"'center'",
"]",
"if",
"place",
"not",
"in",
"valid_places",
":",
"raise",
"... | Adds an object to the plot in a specified place.
Args:
obj (Renderer) : the object to add to the Plot
place (str, optional) : where to add the object (default: 'center')
Valid places are: 'left', 'right', 'above', 'below', 'center'.
Returns:
None | [
"Adds",
"an",
"object",
"to",
"the",
"plot",
"in",
"a",
"specified",
"place",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/plots.py#L230-L248 | train |
bokeh/bokeh | bokeh/models/plots.py | Plot.add_tools | def add_tools(self, *tools):
''' Adds tools to the plot.
Args:
*tools (Tool) : the tools to add to the Plot
Returns:
None
'''
for tool in tools:
if not isinstance(tool, Tool):
raise ValueError("All arguments to add_tool must ... | python | def add_tools(self, *tools):
''' Adds tools to the plot.
Args:
*tools (Tool) : the tools to add to the Plot
Returns:
None
'''
for tool in tools:
if not isinstance(tool, Tool):
raise ValueError("All arguments to add_tool must ... | [
"def",
"add_tools",
"(",
"self",
",",
"*",
"tools",
")",
":",
"for",
"tool",
"in",
"tools",
":",
"if",
"not",
"isinstance",
"(",
"tool",
",",
"Tool",
")",
":",
"raise",
"ValueError",
"(",
"\"All arguments to add_tool must be Tool subclasses.\"",
")",
"self",
... | Adds tools to the plot.
Args:
*tools (Tool) : the tools to add to the Plot
Returns:
None | [
"Adds",
"tools",
"to",
"the",
"plot",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/plots.py#L250-L264 | train |
bokeh/bokeh | bokeh/models/plots.py | Plot.add_glyph | def add_glyph(self, source_or_glyph, glyph=None, **kw):
''' Adds a glyph to the plot with associated data sources and ranges.
This function will take care of creating and configuring a Glyph object,
and then add it to the plot's list of renderers.
Args:
source (DataSource) ... | python | def add_glyph(self, source_or_glyph, glyph=None, **kw):
''' Adds a glyph to the plot with associated data sources and ranges.
This function will take care of creating and configuring a Glyph object,
and then add it to the plot's list of renderers.
Args:
source (DataSource) ... | [
"def",
"add_glyph",
"(",
"self",
",",
"source_or_glyph",
",",
"glyph",
"=",
"None",
",",
"*",
"*",
"kw",
")",
":",
"if",
"glyph",
"is",
"not",
"None",
":",
"source",
"=",
"source_or_glyph",
"else",
":",
"source",
",",
"glyph",
"=",
"ColumnDataSource",
... | Adds a glyph to the plot with associated data sources and ranges.
This function will take care of creating and configuring a Glyph object,
and then add it to the plot's list of renderers.
Args:
source (DataSource) : a data source for the glyphs to all use
glyph (Glyph) ... | [
"Adds",
"a",
"glyph",
"to",
"the",
"plot",
"with",
"associated",
"data",
"sources",
"and",
"ranges",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/plots.py#L266-L298 | train |
bokeh/bokeh | bokeh/models/plots.py | Plot.add_tile | def add_tile(self, tile_source, **kw):
''' Adds new ``TileRenderer`` into ``Plot.renderers``
Args:
tile_source (TileSource) : a tile source instance which contain tileset configuration
Keyword Arguments:
Additional keyword arguments are passed on as-is to the tile rende... | python | def add_tile(self, tile_source, **kw):
''' Adds new ``TileRenderer`` into ``Plot.renderers``
Args:
tile_source (TileSource) : a tile source instance which contain tileset configuration
Keyword Arguments:
Additional keyword arguments are passed on as-is to the tile rende... | [
"def",
"add_tile",
"(",
"self",
",",
"tile_source",
",",
"*",
"*",
"kw",
")",
":",
"tile_renderer",
"=",
"TileRenderer",
"(",
"tile_source",
"=",
"tile_source",
",",
"*",
"*",
"kw",
")",
"self",
".",
"renderers",
".",
"append",
"(",
"tile_renderer",
")",... | Adds new ``TileRenderer`` into ``Plot.renderers``
Args:
tile_source (TileSource) : a tile source instance which contain tileset configuration
Keyword Arguments:
Additional keyword arguments are passed on as-is to the tile renderer
Returns:
TileRenderer : Ti... | [
"Adds",
"new",
"TileRenderer",
"into",
"Plot",
".",
"renderers"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/plots.py#L300-L315 | train |
bokeh/bokeh | bokeh/layouts.py | row | def row(*args, **kwargs):
""" Create a row of Bokeh Layout objects. Forces all objects to
have the same sizing_mode, which is required for complex layouts to work.
Args:
children (list of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of instances for
the row. Can be any of the foll... | python | def row(*args, **kwargs):
""" Create a row of Bokeh Layout objects. Forces all objects to
have the same sizing_mode, which is required for complex layouts to work.
Args:
children (list of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of instances for
the row. Can be any of the foll... | [
"def",
"row",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"sizing_mode",
"=",
"kwargs",
".",
"pop",
"(",
"'sizing_mode'",
",",
"None",
")",
"children",
"=",
"kwargs",
".",
"pop",
"(",
"'children'",
",",
"None",
")",
"children",
"=",
"_handle... | Create a row of Bokeh Layout objects. Forces all objects to
have the same sizing_mode, which is required for complex layouts to work.
Args:
children (list of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of instances for
the row. Can be any of the following - :class:`~bokeh.models.plot... | [
"Create",
"a",
"row",
"of",
"Bokeh",
"Layout",
"objects",
".",
"Forces",
"all",
"objects",
"to",
"have",
"the",
"same",
"sizing_mode",
"which",
"is",
"required",
"for",
"complex",
"layouts",
"to",
"work",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/layouts.py#L55-L97 | train |
bokeh/bokeh | bokeh/layouts.py | column | def column(*args, **kwargs):
""" Create a column of Bokeh Layout objects. Forces all objects to
have the same sizing_mode, which is required for complex layouts to work.
Args:
children (list of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of instances for
the column. Can be any of... | python | def column(*args, **kwargs):
""" Create a column of Bokeh Layout objects. Forces all objects to
have the same sizing_mode, which is required for complex layouts to work.
Args:
children (list of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of instances for
the column. Can be any of... | [
"def",
"column",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"sizing_mode",
"=",
"kwargs",
".",
"pop",
"(",
"'sizing_mode'",
",",
"None",
")",
"children",
"=",
"kwargs",
".",
"pop",
"(",
"'children'",
",",
"None",
")",
"children",
"=",
"_han... | Create a column of Bokeh Layout objects. Forces all objects to
have the same sizing_mode, which is required for complex layouts to work.
Args:
children (list of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of instances for
the column. Can be any of the following - :class:`~bokeh.model... | [
"Create",
"a",
"column",
"of",
"Bokeh",
"Layout",
"objects",
".",
"Forces",
"all",
"objects",
"to",
"have",
"the",
"same",
"sizing_mode",
"which",
"is",
"required",
"for",
"complex",
"layouts",
"to",
"work",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/layouts.py#L100-L142 | train |
bokeh/bokeh | bokeh/layouts.py | widgetbox | def widgetbox(*args, **kwargs):
""" Create a column of bokeh widgets with predefined styling.
Args:
children (list of :class:`~bokeh.models.widgets.widget.Widget`): A list of widgets.
sizing_mode (``"fixed"``, ``"stretch_both"``, ``"scale_width"``, ``"scale_height"``, ``"scale_both"`` ): How
... | python | def widgetbox(*args, **kwargs):
""" Create a column of bokeh widgets with predefined styling.
Args:
children (list of :class:`~bokeh.models.widgets.widget.Widget`): A list of widgets.
sizing_mode (``"fixed"``, ``"stretch_both"``, ``"scale_width"``, ``"scale_height"``, ``"scale_both"`` ): How
... | [
"def",
"widgetbox",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"sizing_mode",
"=",
"kwargs",
".",
"pop",
"(",
"'sizing_mode'",
",",
"None",
")",
"children",
"=",
"kwargs",
".",
"pop",
"(",
"'children'",
",",
"None",
")",
"children",
"=",
"_... | Create a column of bokeh widgets with predefined styling.
Args:
children (list of :class:`~bokeh.models.widgets.widget.Widget`): A list of widgets.
sizing_mode (``"fixed"``, ``"stretch_both"``, ``"scale_width"``, ``"scale_height"``, ``"scale_both"`` ): How
will the items in the layout ... | [
"Create",
"a",
"column",
"of",
"bokeh",
"widgets",
"with",
"predefined",
"styling",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/layouts.py#L145-L179 | train |
bokeh/bokeh | bokeh/layouts.py | layout | def layout(*args, **kwargs):
""" Create a grid-based arrangement of Bokeh Layout objects.
Args:
children (list of lists of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of lists of instances
for a grid layout. Can be any of the following - :class:`~bokeh.models.plots.Plot`,
... | python | def layout(*args, **kwargs):
""" Create a grid-based arrangement of Bokeh Layout objects.
Args:
children (list of lists of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of lists of instances
for a grid layout. Can be any of the following - :class:`~bokeh.models.plots.Plot`,
... | [
"def",
"layout",
"(",
"*",
"args",
",",
"*",
"*",
"kwargs",
")",
":",
"sizing_mode",
"=",
"kwargs",
".",
"pop",
"(",
"'sizing_mode'",
",",
"None",
")",
"children",
"=",
"kwargs",
".",
"pop",
"(",
"'children'",
",",
"None",
")",
"children",
"=",
"_han... | Create a grid-based arrangement of Bokeh Layout objects.
Args:
children (list of lists of :class:`~bokeh.models.layouts.LayoutDOM` ): A list of lists of instances
for a grid layout. Can be any of the following - :class:`~bokeh.models.plots.Plot`,
:class:`~bokeh.models.widgets.widget... | [
"Create",
"a",
"grid",
"-",
"based",
"arrangement",
"of",
"Bokeh",
"Layout",
"objects",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/layouts.py#L182-L222 | train |
bokeh/bokeh | bokeh/layouts.py | gridplot | def gridplot(children, sizing_mode=None, toolbar_location='above', ncols=None,
plot_width=None, plot_height=None, toolbar_options=None, merge_tools=True):
''' Create a grid of plots rendered on separate canvases.
The ``gridplot`` function builds a single toolbar for all the plots in the
grid. ... | python | def gridplot(children, sizing_mode=None, toolbar_location='above', ncols=None,
plot_width=None, plot_height=None, toolbar_options=None, merge_tools=True):
''' Create a grid of plots rendered on separate canvases.
The ``gridplot`` function builds a single toolbar for all the plots in the
grid. ... | [
"def",
"gridplot",
"(",
"children",
",",
"sizing_mode",
"=",
"None",
",",
"toolbar_location",
"=",
"'above'",
",",
"ncols",
"=",
"None",
",",
"plot_width",
"=",
"None",
",",
"plot_height",
"=",
"None",
",",
"toolbar_options",
"=",
"None",
",",
"merge_tools",... | Create a grid of plots rendered on separate canvases.
The ``gridplot`` function builds a single toolbar for all the plots in the
grid. ``gridplot`` is designed to layout a set of plots. For general
grid layout, use the :func:`~bokeh.layouts.layout` function.
Args:
children (list of lists of :c... | [
"Create",
"a",
"grid",
"of",
"plots",
"rendered",
"on",
"separate",
"canvases",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/layouts.py#L224-L340 | train |
bokeh/bokeh | bokeh/layouts.py | grid | def grid(children=[], sizing_mode=None, nrows=None, ncols=None):
"""
Conveniently create a grid of layoutable objects.
Grids are created by using ``GridBox`` model. This gives the most control over
the layout of a grid, but is also tedious and may result in unreadable code in
practical applications... | python | def grid(children=[], sizing_mode=None, nrows=None, ncols=None):
"""
Conveniently create a grid of layoutable objects.
Grids are created by using ``GridBox`` model. This gives the most control over
the layout of a grid, but is also tedious and may result in unreadable code in
practical applications... | [
"def",
"grid",
"(",
"children",
"=",
"[",
"]",
",",
"sizing_mode",
"=",
"None",
",",
"nrows",
"=",
"None",
",",
"ncols",
"=",
"None",
")",
":",
"row",
"=",
"namedtuple",
"(",
"\"row\"",
",",
"[",
"\"children\"",
"]",
")",
"col",
"=",
"namedtuple",
... | Conveniently create a grid of layoutable objects.
Grids are created by using ``GridBox`` model. This gives the most control over
the layout of a grid, but is also tedious and may result in unreadable code in
practical applications. ``grid()`` function remedies this by reducing the level
of control, but... | [
"Conveniently",
"create",
"a",
"grid",
"of",
"layoutable",
"objects",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/layouts.py#L342-L504 | train |
bokeh/bokeh | bokeh/layouts.py | _create_grid | def _create_grid(iterable, sizing_mode, layer=0):
"""Recursively create grid from input lists."""
return_list = []
for item in iterable:
if isinstance(item, list):
return_list.append(_create_grid(item, sizing_mode, layer+1))
elif isinstance(item, LayoutDOM):
if sizing... | python | def _create_grid(iterable, sizing_mode, layer=0):
"""Recursively create grid from input lists."""
return_list = []
for item in iterable:
if isinstance(item, list):
return_list.append(_create_grid(item, sizing_mode, layer+1))
elif isinstance(item, LayoutDOM):
if sizing... | [
"def",
"_create_grid",
"(",
"iterable",
",",
"sizing_mode",
",",
"layer",
"=",
"0",
")",
":",
"return_list",
"=",
"[",
"]",
"for",
"item",
"in",
"iterable",
":",
"if",
"isinstance",
"(",
"item",
",",
"list",
")",
":",
"return_list",
".",
"append",
"(",... | Recursively create grid from input lists. | [
"Recursively",
"create",
"grid",
"from",
"input",
"lists",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/layouts.py#L593-L610 | train |
bokeh/bokeh | bokeh/layouts.py | _chunks | def _chunks(l, ncols):
"""Yield successive n-sized chunks from list, l."""
assert isinstance(ncols, int), "ncols must be an integer"
for i in range(0, len(l), ncols):
yield l[i: i+ncols] | python | def _chunks(l, ncols):
"""Yield successive n-sized chunks from list, l."""
assert isinstance(ncols, int), "ncols must be an integer"
for i in range(0, len(l), ncols):
yield l[i: i+ncols] | [
"def",
"_chunks",
"(",
"l",
",",
"ncols",
")",
":",
"assert",
"isinstance",
"(",
"ncols",
",",
"int",
")",
",",
"\"ncols must be an integer\"",
"for",
"i",
"in",
"range",
"(",
"0",
",",
"len",
"(",
"l",
")",
",",
"ncols",
")",
":",
"yield",
"l",
"[... | Yield successive n-sized chunks from list, l. | [
"Yield",
"successive",
"n",
"-",
"sized",
"chunks",
"from",
"list",
"l",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/layouts.py#L613-L617 | train |
bokeh/bokeh | bokeh/document/locking.py | without_document_lock | def without_document_lock(func):
''' Wrap a callback function to execute without first obtaining the
document lock.
Args:
func (callable) : The function to wrap
Returns:
callable : a function wrapped to execute without a |Document| lock.
While inside an unlocked callback, it is co... | python | def without_document_lock(func):
''' Wrap a callback function to execute without first obtaining the
document lock.
Args:
func (callable) : The function to wrap
Returns:
callable : a function wrapped to execute without a |Document| lock.
While inside an unlocked callback, it is co... | [
"def",
"without_document_lock",
"(",
"func",
")",
":",
"@",
"wraps",
"(",
"func",
")",
"def",
"wrapper",
"(",
"*",
"args",
",",
"*",
"*",
"kw",
")",
":",
"return",
"func",
"(",
"*",
"args",
",",
"*",
"*",
"kw",
")",
"wrapper",
".",
"nolock",
"=",... | Wrap a callback function to execute without first obtaining the
document lock.
Args:
func (callable) : The function to wrap
Returns:
callable : a function wrapped to execute without a |Document| lock.
While inside an unlocked callback, it is completely *unsafe* to modify
``curdoc(... | [
"Wrap",
"a",
"callback",
"function",
"to",
"execute",
"without",
"first",
"obtaining",
"the",
"document",
"lock",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/document/locking.py#L43-L73 | train |
bokeh/bokeh | bokeh/embed/server.py | server_document | def server_document(url="default", relative_urls=False, resources="default", arguments=None):
''' Return a script tag that embeds content from a Bokeh server.
Bokeh apps embedded using these methods will NOT set the browser window title.
Args:
url (str, optional) :
A URL to a Bokeh app... | python | def server_document(url="default", relative_urls=False, resources="default", arguments=None):
''' Return a script tag that embeds content from a Bokeh server.
Bokeh apps embedded using these methods will NOT set the browser window title.
Args:
url (str, optional) :
A URL to a Bokeh app... | [
"def",
"server_document",
"(",
"url",
"=",
"\"default\"",
",",
"relative_urls",
"=",
"False",
",",
"resources",
"=",
"\"default\"",
",",
"arguments",
"=",
"None",
")",
":",
"url",
"=",
"_clean_url",
"(",
"url",
")",
"app_path",
"=",
"_get_app_path",
"(",
"... | Return a script tag that embeds content from a Bokeh server.
Bokeh apps embedded using these methods will NOT set the browser window title.
Args:
url (str, optional) :
A URL to a Bokeh application on a Bokeh server (default: "default")
If ``"default"`` the default URL ``{DEFAU... | [
"Return",
"a",
"script",
"tag",
"that",
"embeds",
"content",
"from",
"a",
"Bokeh",
"server",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/server.py#L51-L110 | train |
bokeh/bokeh | bokeh/embed/server.py | server_session | def server_session(model=None, session_id=None, url="default", relative_urls=False, resources="default"):
''' Return a script tag that embeds content from a specific existing session on
a Bokeh server.
This function is typically only useful for serving from a a specific session
that was previously crea... | python | def server_session(model=None, session_id=None, url="default", relative_urls=False, resources="default"):
''' Return a script tag that embeds content from a specific existing session on
a Bokeh server.
This function is typically only useful for serving from a a specific session
that was previously crea... | [
"def",
"server_session",
"(",
"model",
"=",
"None",
",",
"session_id",
"=",
"None",
",",
"url",
"=",
"\"default\"",
",",
"relative_urls",
"=",
"False",
",",
"resources",
"=",
"\"default\"",
")",
":",
"if",
"session_id",
"is",
"None",
":",
"raise",
"ValueEr... | Return a script tag that embeds content from a specific existing session on
a Bokeh server.
This function is typically only useful for serving from a a specific session
that was previously created using the ``bokeh.client`` API.
Bokeh apps embedded using these methods will NOT set the browser window t... | [
"Return",
"a",
"script",
"tag",
"that",
"embeds",
"content",
"from",
"a",
"specific",
"existing",
"session",
"on",
"a",
"Bokeh",
"server",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/server.py#L112-L194 | train |
bokeh/bokeh | bokeh/embed/server.py | _clean_url | def _clean_url(url):
''' Produce a canonical Bokeh server URL.
Args:
url (str)
A URL to clean, or "defatul". If "default" then the
``BOKEH_SERVER_HTTP_URL`` will be returned.
Returns:
str
'''
if url == 'default':
url = DEFAULT_SERVER_HTTP_URL
i... | python | def _clean_url(url):
''' Produce a canonical Bokeh server URL.
Args:
url (str)
A URL to clean, or "defatul". If "default" then the
``BOKEH_SERVER_HTTP_URL`` will be returned.
Returns:
str
'''
if url == 'default':
url = DEFAULT_SERVER_HTTP_URL
i... | [
"def",
"_clean_url",
"(",
"url",
")",
":",
"if",
"url",
"==",
"'default'",
":",
"url",
"=",
"DEFAULT_SERVER_HTTP_URL",
"if",
"url",
".",
"startswith",
"(",
"\"ws\"",
")",
":",
"raise",
"ValueError",
"(",
"\"url should be the http or https URL for the server, not the... | Produce a canonical Bokeh server URL.
Args:
url (str)
A URL to clean, or "defatul". If "default" then the
``BOKEH_SERVER_HTTP_URL`` will be returned.
Returns:
str | [
"Produce",
"a",
"canonical",
"Bokeh",
"server",
"URL",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/server.py#L236-L254 | train |
bokeh/bokeh | bokeh/embed/server.py | _get_app_path | def _get_app_path(url):
''' Extract the app path from a Bokeh server URL
Args:
url (str) :
Returns:
str
'''
app_path = urlparse(url).path.rstrip("/")
if not app_path.startswith("/"):
app_path = "/" + app_path
return app_path | python | def _get_app_path(url):
''' Extract the app path from a Bokeh server URL
Args:
url (str) :
Returns:
str
'''
app_path = urlparse(url).path.rstrip("/")
if not app_path.startswith("/"):
app_path = "/" + app_path
return app_path | [
"def",
"_get_app_path",
"(",
"url",
")",
":",
"app_path",
"=",
"urlparse",
"(",
"url",
")",
".",
"path",
".",
"rstrip",
"(",
"\"/\"",
")",
"if",
"not",
"app_path",
".",
"startswith",
"(",
"\"/\"",
")",
":",
"app_path",
"=",
"\"/\"",
"+",
"app_path",
... | Extract the app path from a Bokeh server URL
Args:
url (str) :
Returns:
str | [
"Extract",
"the",
"app",
"path",
"from",
"a",
"Bokeh",
"server",
"URL"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/server.py#L256-L269 | train |
bokeh/bokeh | bokeh/embed/server.py | _process_arguments | def _process_arguments(arguments):
''' Return user-supplied HTML arguments to add to a Bokeh server URL.
Args:
arguments (dict[str, object]) :
Key/value pairs to add to the URL
Returns:
str
'''
if arguments is None: return ""
result = ""
for key, value in argum... | python | def _process_arguments(arguments):
''' Return user-supplied HTML arguments to add to a Bokeh server URL.
Args:
arguments (dict[str, object]) :
Key/value pairs to add to the URL
Returns:
str
'''
if arguments is None: return ""
result = ""
for key, value in argum... | [
"def",
"_process_arguments",
"(",
"arguments",
")",
":",
"if",
"arguments",
"is",
"None",
":",
"return",
"\"\"",
"result",
"=",
"\"\"",
"for",
"key",
",",
"value",
"in",
"arguments",
".",
"items",
"(",
")",
":",
"if",
"not",
"key",
".",
"startswith",
"... | Return user-supplied HTML arguments to add to a Bokeh server URL.
Args:
arguments (dict[str, object]) :
Key/value pairs to add to the URL
Returns:
str | [
"Return",
"user",
"-",
"supplied",
"HTML",
"arguments",
"to",
"add",
"to",
"a",
"Bokeh",
"server",
"URL",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/server.py#L271-L287 | train |
bokeh/bokeh | bokeh/server/views/ws.py | WSHandler.check_origin | def check_origin(self, origin):
''' Implement a check_origin policy for Tornado to call.
The supplied origin will be compared to the Bokeh server whitelist. If the
origin is not allow, an error will be logged and ``False`` will be returned.
Args:
origin (str) :
... | python | def check_origin(self, origin):
''' Implement a check_origin policy for Tornado to call.
The supplied origin will be compared to the Bokeh server whitelist. If the
origin is not allow, an error will be logged and ``False`` will be returned.
Args:
origin (str) :
... | [
"def",
"check_origin",
"(",
"self",
",",
"origin",
")",
":",
"from",
".",
".",
"util",
"import",
"check_whitelist",
"parsed_origin",
"=",
"urlparse",
"(",
"origin",
")",
"origin_host",
"=",
"parsed_origin",
".",
"netloc",
".",
"lower",
"(",
")",
"allowed_hos... | Implement a check_origin policy for Tornado to call.
The supplied origin will be compared to the Bokeh server whitelist. If the
origin is not allow, an error will be logged and ``False`` will be returned.
Args:
origin (str) :
The URL of the connection origin
... | [
"Implement",
"a",
"check_origin",
"policy",
"for",
"Tornado",
"to",
"call",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/views/ws.py#L79-L108 | train |
bokeh/bokeh | bokeh/server/views/ws.py | WSHandler.open | def open(self):
''' Initialize a connection to a client.
Returns:
None
'''
log.info('WebSocket connection opened')
proto_version = self.get_argument("bokeh-protocol-version", default=None)
if proto_version is None:
self.close()
raise... | python | def open(self):
''' Initialize a connection to a client.
Returns:
None
'''
log.info('WebSocket connection opened')
proto_version = self.get_argument("bokeh-protocol-version", default=None)
if proto_version is None:
self.close()
raise... | [
"def",
"open",
"(",
"self",
")",
":",
"log",
".",
"info",
"(",
"'WebSocket connection opened'",
")",
"proto_version",
"=",
"self",
".",
"get_argument",
"(",
"\"bokeh-protocol-version\"",
",",
"default",
"=",
"None",
")",
"if",
"proto_version",
"is",
"None",
":... | Initialize a connection to a client.
Returns:
None | [
"Initialize",
"a",
"connection",
"to",
"a",
"client",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/views/ws.py#L110-L144 | train |
bokeh/bokeh | bokeh/server/views/ws.py | WSHandler._async_open | def _async_open(self, session_id, proto_version):
''' Perform the specific steps needed to open a connection to a Bokeh session
Specifically, this method coordinates:
* Getting a session for a session ID (creating a new one if needed)
* Creating a protocol receiver and hander
*... | python | def _async_open(self, session_id, proto_version):
''' Perform the specific steps needed to open a connection to a Bokeh session
Specifically, this method coordinates:
* Getting a session for a session ID (creating a new one if needed)
* Creating a protocol receiver and hander
*... | [
"def",
"_async_open",
"(",
"self",
",",
"session_id",
",",
"proto_version",
")",
":",
"try",
":",
"yield",
"self",
".",
"application_context",
".",
"create_session_if_needed",
"(",
"session_id",
",",
"self",
".",
"request",
")",
"session",
"=",
"self",
".",
... | Perform the specific steps needed to open a connection to a Bokeh session
Specifically, this method coordinates:
* Getting a session for a session ID (creating a new one if needed)
* Creating a protocol receiver and hander
* Opening a new ServerConnection and sending it an ACK
... | [
"Perform",
"the",
"specific",
"steps",
"needed",
"to",
"open",
"a",
"connection",
"to",
"a",
"Bokeh",
"session"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/views/ws.py#L147-L191 | train |
bokeh/bokeh | bokeh/server/views/ws.py | WSHandler.on_message | def on_message(self, fragment):
''' Process an individual wire protocol fragment.
The websocket RFC specifies opcodes for distinguishing text frames
from binary frames. Tornado passes us either a text or binary string
depending on that opcode, we have to look at the type of the fragment... | python | def on_message(self, fragment):
''' Process an individual wire protocol fragment.
The websocket RFC specifies opcodes for distinguishing text frames
from binary frames. Tornado passes us either a text or binary string
depending on that opcode, we have to look at the type of the fragment... | [
"def",
"on_message",
"(",
"self",
",",
"fragment",
")",
":",
"# We shouldn't throw exceptions from on_message because the caller is",
"# just Tornado and it doesn't know what to do with them other than",
"# report them as an unhandled Future",
"try",
":",
"message",
"=",
"yield",
"se... | Process an individual wire protocol fragment.
The websocket RFC specifies opcodes for distinguishing text frames
from binary frames. Tornado passes us either a text or binary string
depending on that opcode, we have to look at the type of the fragment
to see what we got.
Args:
... | [
"Process",
"an",
"individual",
"wire",
"protocol",
"fragment",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/views/ws.py#L194-L230 | train |
bokeh/bokeh | bokeh/server/views/ws.py | WSHandler.send_message | def send_message(self, message):
''' Send a Bokeh Server protocol message to the connected client.
Args:
message (Message) : a message to send
'''
try:
if _message_test_port is not None:
_message_test_port.sent.append(message)
yield m... | python | def send_message(self, message):
''' Send a Bokeh Server protocol message to the connected client.
Args:
message (Message) : a message to send
'''
try:
if _message_test_port is not None:
_message_test_port.sent.append(message)
yield m... | [
"def",
"send_message",
"(",
"self",
",",
"message",
")",
":",
"try",
":",
"if",
"_message_test_port",
"is",
"not",
"None",
":",
"_message_test_port",
".",
"sent",
".",
"append",
"(",
"message",
")",
"yield",
"message",
".",
"send",
"(",
"self",
")",
"exc... | Send a Bokeh Server protocol message to the connected client.
Args:
message (Message) : a message to send | [
"Send",
"a",
"Bokeh",
"Server",
"protocol",
"message",
"to",
"the",
"connected",
"client",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/views/ws.py#L243-L257 | train |
bokeh/bokeh | bokeh/server/views/ws.py | WSHandler.write_message | def write_message(self, message, binary=False, locked=True):
''' Override parent write_message with a version that acquires a
write lock before writing.
'''
if locked:
with (yield self.write_lock.acquire()):
yield super(WSHandler, self).write_message(message,... | python | def write_message(self, message, binary=False, locked=True):
''' Override parent write_message with a version that acquires a
write lock before writing.
'''
if locked:
with (yield self.write_lock.acquire()):
yield super(WSHandler, self).write_message(message,... | [
"def",
"write_message",
"(",
"self",
",",
"message",
",",
"binary",
"=",
"False",
",",
"locked",
"=",
"True",
")",
":",
"if",
"locked",
":",
"with",
"(",
"yield",
"self",
".",
"write_lock",
".",
"acquire",
"(",
")",
")",
":",
"yield",
"super",
"(",
... | Override parent write_message with a version that acquires a
write lock before writing. | [
"Override",
"parent",
"write_message",
"with",
"a",
"version",
"that",
"acquires",
"a",
"write",
"lock",
"before",
"writing",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/views/ws.py#L260-L269 | train |
bokeh/bokeh | bokeh/server/views/ws.py | WSHandler.on_close | def on_close(self):
''' Clean up when the connection is closed.
'''
log.info('WebSocket connection closed: code=%s, reason=%r', self.close_code, self.close_reason)
if self.connection is not None:
self.application.client_lost(self.connection) | python | def on_close(self):
''' Clean up when the connection is closed.
'''
log.info('WebSocket connection closed: code=%s, reason=%r', self.close_code, self.close_reason)
if self.connection is not None:
self.application.client_lost(self.connection) | [
"def",
"on_close",
"(",
"self",
")",
":",
"log",
".",
"info",
"(",
"'WebSocket connection closed: code=%s, reason=%r'",
",",
"self",
".",
"close_code",
",",
"self",
".",
"close_reason",
")",
"if",
"self",
".",
"connection",
"is",
"not",
"None",
":",
"self",
... | Clean up when the connection is closed. | [
"Clean",
"up",
"when",
"the",
"connection",
"is",
"closed",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/server/views/ws.py#L271-L277 | train |
bokeh/bokeh | bokeh/embed/bundle.py | bundle_for_objs_and_resources | def bundle_for_objs_and_resources(objs, resources):
''' Generate rendered CSS and JS resources suitable for the given
collection of Bokeh objects
Args:
objs (seq[Model or Document]) :
resources (BaseResources or tuple[BaseResources])
Returns:
tuple
'''
if isinstance(r... | python | def bundle_for_objs_and_resources(objs, resources):
''' Generate rendered CSS and JS resources suitable for the given
collection of Bokeh objects
Args:
objs (seq[Model or Document]) :
resources (BaseResources or tuple[BaseResources])
Returns:
tuple
'''
if isinstance(r... | [
"def",
"bundle_for_objs_and_resources",
"(",
"objs",
",",
"resources",
")",
":",
"if",
"isinstance",
"(",
"resources",
",",
"BaseResources",
")",
":",
"js_resources",
"=",
"css_resources",
"=",
"resources",
"elif",
"isinstance",
"(",
"resources",
",",
"tuple",
"... | Generate rendered CSS and JS resources suitable for the given
collection of Bokeh objects
Args:
objs (seq[Model or Document]) :
resources (BaseResources or tuple[BaseResources])
Returns:
tuple | [
"Generate",
"rendered",
"CSS",
"and",
"JS",
"resources",
"suitable",
"for",
"the",
"given",
"collection",
"of",
"Bokeh",
"objects"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/bundle.py#L50-L116 | train |
bokeh/bokeh | bokeh/embed/bundle.py | _any | def _any(objs, query):
''' Whether any of a collection of objects satisfies a given query predicate
Args:
objs (seq[Model or Document]) :
query (callable)
Returns:
True, if ``query(obj)`` is True for some object in ``objs``, else False
'''
for obj in objs:
if isin... | python | def _any(objs, query):
''' Whether any of a collection of objects satisfies a given query predicate
Args:
objs (seq[Model or Document]) :
query (callable)
Returns:
True, if ``query(obj)`` is True for some object in ``objs``, else False
'''
for obj in objs:
if isin... | [
"def",
"_any",
"(",
"objs",
",",
"query",
")",
":",
"for",
"obj",
"in",
"objs",
":",
"if",
"isinstance",
"(",
"obj",
",",
"Document",
")",
":",
"if",
"_any",
"(",
"obj",
".",
"roots",
",",
"query",
")",
":",
"return",
"True",
"else",
":",
"if",
... | Whether any of a collection of objects satisfies a given query predicate
Args:
objs (seq[Model or Document]) :
query (callable)
Returns:
True, if ``query(obj)`` is True for some object in ``objs``, else False | [
"Whether",
"any",
"of",
"a",
"collection",
"of",
"objects",
"satisfies",
"a",
"given",
"query",
"predicate"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/bundle.py#L134-L154 | train |
bokeh/bokeh | bokeh/embed/bundle.py | _use_gl | def _use_gl(objs):
''' Whether a collection of Bokeh objects contains a plot requesting WebGL
Args:
objs (seq[Model or Document]) :
Returns:
bool
'''
from ..models.plots import Plot
return _any(objs, lambda obj: isinstance(obj, Plot) and obj.output_backend == "webgl") | python | def _use_gl(objs):
''' Whether a collection of Bokeh objects contains a plot requesting WebGL
Args:
objs (seq[Model or Document]) :
Returns:
bool
'''
from ..models.plots import Plot
return _any(objs, lambda obj: isinstance(obj, Plot) and obj.output_backend == "webgl") | [
"def",
"_use_gl",
"(",
"objs",
")",
":",
"from",
".",
".",
"models",
".",
"plots",
"import",
"Plot",
"return",
"_any",
"(",
"objs",
",",
"lambda",
"obj",
":",
"isinstance",
"(",
"obj",
",",
"Plot",
")",
"and",
"obj",
".",
"output_backend",
"==",
"\"w... | Whether a collection of Bokeh objects contains a plot requesting WebGL
Args:
objs (seq[Model or Document]) :
Returns:
bool | [
"Whether",
"a",
"collection",
"of",
"Bokeh",
"objects",
"contains",
"a",
"plot",
"requesting",
"WebGL"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/bundle.py#L156-L167 | train |
bokeh/bokeh | bokeh/embed/bundle.py | _use_tables | def _use_tables(objs):
''' Whether a collection of Bokeh objects contains a TableWidget
Args:
objs (seq[Model or Document]) :
Returns:
bool
'''
from ..models.widgets import TableWidget
return _any(objs, lambda obj: isinstance(obj, TableWidget)) | python | def _use_tables(objs):
''' Whether a collection of Bokeh objects contains a TableWidget
Args:
objs (seq[Model or Document]) :
Returns:
bool
'''
from ..models.widgets import TableWidget
return _any(objs, lambda obj: isinstance(obj, TableWidget)) | [
"def",
"_use_tables",
"(",
"objs",
")",
":",
"from",
".",
".",
"models",
".",
"widgets",
"import",
"TableWidget",
"return",
"_any",
"(",
"objs",
",",
"lambda",
"obj",
":",
"isinstance",
"(",
"obj",
",",
"TableWidget",
")",
")"
] | Whether a collection of Bokeh objects contains a TableWidget
Args:
objs (seq[Model or Document]) :
Returns:
bool | [
"Whether",
"a",
"collection",
"of",
"Bokeh",
"objects",
"contains",
"a",
"TableWidget"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/bundle.py#L169-L180 | train |
bokeh/bokeh | bokeh/embed/bundle.py | _use_widgets | def _use_widgets(objs):
''' Whether a collection of Bokeh objects contains a any Widget
Args:
objs (seq[Model or Document]) :
Returns:
bool
'''
from ..models.widgets import Widget
return _any(objs, lambda obj: isinstance(obj, Widget)) | python | def _use_widgets(objs):
''' Whether a collection of Bokeh objects contains a any Widget
Args:
objs (seq[Model or Document]) :
Returns:
bool
'''
from ..models.widgets import Widget
return _any(objs, lambda obj: isinstance(obj, Widget)) | [
"def",
"_use_widgets",
"(",
"objs",
")",
":",
"from",
".",
".",
"models",
".",
"widgets",
"import",
"Widget",
"return",
"_any",
"(",
"objs",
",",
"lambda",
"obj",
":",
"isinstance",
"(",
"obj",
",",
"Widget",
")",
")"
] | Whether a collection of Bokeh objects contains a any Widget
Args:
objs (seq[Model or Document]) :
Returns:
bool | [
"Whether",
"a",
"collection",
"of",
"Bokeh",
"objects",
"contains",
"a",
"any",
"Widget"
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/embed/bundle.py#L182-L193 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | PropertyDescriptor.add_prop_descriptor_to_class | def add_prop_descriptor_to_class(self, class_name, new_class_attrs, names_with_refs, container_names, dataspecs):
''' ``MetaHasProps`` calls this during class creation as it iterates
over properties to add, to update its registry of new properties.
The parameters passed in are mutable and this ... | python | def add_prop_descriptor_to_class(self, class_name, new_class_attrs, names_with_refs, container_names, dataspecs):
''' ``MetaHasProps`` calls this during class creation as it iterates
over properties to add, to update its registry of new properties.
The parameters passed in are mutable and this ... | [
"def",
"add_prop_descriptor_to_class",
"(",
"self",
",",
"class_name",
",",
"new_class_attrs",
",",
"names_with_refs",
",",
"container_names",
",",
"dataspecs",
")",
":",
"from",
".",
"bases",
"import",
"ContainerProperty",
"from",
".",
"dataspec",
"import",
"DataSp... | ``MetaHasProps`` calls this during class creation as it iterates
over properties to add, to update its registry of new properties.
The parameters passed in are mutable and this function is expected to
update them accordingly.
Args:
class_name (str) :
name of... | [
"MetaHasProps",
"calls",
"this",
"during",
"class",
"creation",
"as",
"it",
"iterates",
"over",
"properties",
"to",
"add",
"to",
"update",
"its",
"registry",
"of",
"new",
"properties",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L221-L267 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | PropertyDescriptor.serializable_value | def serializable_value(self, obj):
''' Produce the value as it should be serialized.
Sometimes it is desirable for the serialized value to differ from
the ``__get__`` in order for the ``__get__`` value to appear simpler
for user or developer convenience.
Args:
obj (... | python | def serializable_value(self, obj):
''' Produce the value as it should be serialized.
Sometimes it is desirable for the serialized value to differ from
the ``__get__`` in order for the ``__get__`` value to appear simpler
for user or developer convenience.
Args:
obj (... | [
"def",
"serializable_value",
"(",
"self",
",",
"obj",
")",
":",
"value",
"=",
"self",
".",
"__get__",
"(",
"obj",
",",
"obj",
".",
"__class__",
")",
"return",
"self",
".",
"property",
".",
"serialize_value",
"(",
"value",
")"
] | Produce the value as it should be serialized.
Sometimes it is desirable for the serialized value to differ from
the ``__get__`` in order for the ``__get__`` value to appear simpler
for user or developer convenience.
Args:
obj (HasProps) : the object to get the serialized at... | [
"Produce",
"the",
"value",
"as",
"it",
"should",
"be",
"serialized",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L281-L296 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | PropertyDescriptor.set_from_json | def set_from_json(self, obj, json, models=None, setter=None):
'''Sets the value of this property from a JSON value.
Args:
obj: (HasProps) : instance to set the property value on
json: (JSON-value) : value to set to the attribute to
models (dict or None, optional) :... | python | def set_from_json(self, obj, json, models=None, setter=None):
'''Sets the value of this property from a JSON value.
Args:
obj: (HasProps) : instance to set the property value on
json: (JSON-value) : value to set to the attribute to
models (dict or None, optional) :... | [
"def",
"set_from_json",
"(",
"self",
",",
"obj",
",",
"json",
",",
"models",
"=",
"None",
",",
"setter",
"=",
"None",
")",
":",
"self",
".",
"_internal_set",
"(",
"obj",
",",
"json",
",",
"setter",
"=",
"setter",
")"
] | Sets the value of this property from a JSON value.
Args:
obj: (HasProps) : instance to set the property value on
json: (JSON-value) : value to set to the attribute to
models (dict or None, optional) :
Mapping of model ids to models (default: None)
... | [
"Sets",
"the",
"value",
"of",
"this",
"property",
"from",
"a",
"JSON",
"value",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L298-L327 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | BasicPropertyDescriptor.instance_default | def instance_default(self, obj):
''' Get the default value that will be used for a specific instance.
Args:
obj (HasProps) : The instance to get the default value for.
Returns:
object
'''
return self.property.themed_default(obj.__class__, self.name, obj... | python | def instance_default(self, obj):
''' Get the default value that will be used for a specific instance.
Args:
obj (HasProps) : The instance to get the default value for.
Returns:
object
'''
return self.property.themed_default(obj.__class__, self.name, obj... | [
"def",
"instance_default",
"(",
"self",
",",
"obj",
")",
":",
"return",
"self",
".",
"property",
".",
"themed_default",
"(",
"obj",
".",
"__class__",
",",
"self",
".",
"name",
",",
"obj",
".",
"themed_values",
"(",
")",
")"
] | Get the default value that will be used for a specific instance.
Args:
obj (HasProps) : The instance to get the default value for.
Returns:
object | [
"Get",
"the",
"default",
"value",
"that",
"will",
"be",
"used",
"for",
"a",
"specific",
"instance",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L577-L587 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | BasicPropertyDescriptor.set_from_json | def set_from_json(self, obj, json, models=None, setter=None):
''' Sets the value of this property from a JSON value.
This method first
Args:
obj (HasProps) :
json (JSON-dict) :
models(seq[Model], optional) :
setter (ClientSession or ServerSess... | python | def set_from_json(self, obj, json, models=None, setter=None):
''' Sets the value of this property from a JSON value.
This method first
Args:
obj (HasProps) :
json (JSON-dict) :
models(seq[Model], optional) :
setter (ClientSession or ServerSess... | [
"def",
"set_from_json",
"(",
"self",
",",
"obj",
",",
"json",
",",
"models",
"=",
"None",
",",
"setter",
"=",
"None",
")",
":",
"return",
"super",
"(",
"BasicPropertyDescriptor",
",",
"self",
")",
".",
"set_from_json",
"(",
"obj",
",",
"self",
".",
"pr... | Sets the value of this property from a JSON value.
This method first
Args:
obj (HasProps) :
json (JSON-dict) :
models(seq[Model], optional) :
setter (ClientSession or ServerSession or None, optional) :
This is used to prevent "boomeran... | [
"Sets",
"the",
"value",
"of",
"this",
"property",
"from",
"a",
"JSON",
"value",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L589-L618 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | BasicPropertyDescriptor.trigger_if_changed | def trigger_if_changed(self, obj, old):
''' Send a change event notification if the property is set to a
value is not equal to ``old``.
Args:
obj (HasProps)
The object the property is being set on.
old (obj) :
The previous value of the pr... | python | def trigger_if_changed(self, obj, old):
''' Send a change event notification if the property is set to a
value is not equal to ``old``.
Args:
obj (HasProps)
The object the property is being set on.
old (obj) :
The previous value of the pr... | [
"def",
"trigger_if_changed",
"(",
"self",
",",
"obj",
",",
"old",
")",
":",
"new_value",
"=",
"self",
".",
"__get__",
"(",
"obj",
",",
"obj",
".",
"__class__",
")",
"if",
"not",
"self",
".",
"property",
".",
"matches",
"(",
"old",
",",
"new_value",
"... | Send a change event notification if the property is set to a
value is not equal to ``old``.
Args:
obj (HasProps)
The object the property is being set on.
old (obj) :
The previous value of the property to compare
Returns:
None | [
"Send",
"a",
"change",
"event",
"notification",
"if",
"the",
"property",
"is",
"set",
"to",
"a",
"value",
"is",
"not",
"equal",
"to",
"old",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L620-L637 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | BasicPropertyDescriptor._get | def _get(self, obj):
''' Internal implementation of instance attribute access for the
``BasicPropertyDescriptor`` getter.
If the value has not been explicitly set by a user, return that
value. Otherwise, return the default.
Args:
obj (HasProps) : the instance to get... | python | def _get(self, obj):
''' Internal implementation of instance attribute access for the
``BasicPropertyDescriptor`` getter.
If the value has not been explicitly set by a user, return that
value. Otherwise, return the default.
Args:
obj (HasProps) : the instance to get... | [
"def",
"_get",
"(",
"self",
",",
"obj",
")",
":",
"if",
"not",
"hasattr",
"(",
"obj",
",",
"'_property_values'",
")",
":",
"raise",
"RuntimeError",
"(",
"\"Cannot get a property value '%s' from a %s instance before HasProps.__init__\"",
"%",
"(",
"self",
".",
"name"... | Internal implementation of instance attribute access for the
``BasicPropertyDescriptor`` getter.
If the value has not been explicitly set by a user, return that
value. Otherwise, return the default.
Args:
obj (HasProps) : the instance to get a value of this property for
... | [
"Internal",
"implementation",
"of",
"instance",
"attribute",
"access",
"for",
"the",
"BasicPropertyDescriptor",
"getter",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L671-L697 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | BasicPropertyDescriptor._get_default | def _get_default(self, obj):
''' Internal implementation of instance attribute access for default
values.
Handles bookeeping around |PropertyContainer| value, etc.
'''
if self.name in obj._property_values:
# this shouldn't happen because we should have checked befor... | python | def _get_default(self, obj):
''' Internal implementation of instance attribute access for default
values.
Handles bookeeping around |PropertyContainer| value, etc.
'''
if self.name in obj._property_values:
# this shouldn't happen because we should have checked befor... | [
"def",
"_get_default",
"(",
"self",
",",
"obj",
")",
":",
"if",
"self",
".",
"name",
"in",
"obj",
".",
"_property_values",
":",
"# this shouldn't happen because we should have checked before _get_default()",
"raise",
"RuntimeError",
"(",
"\"Bokeh internal error, does not ha... | Internal implementation of instance attribute access for default
values.
Handles bookeeping around |PropertyContainer| value, etc. | [
"Internal",
"implementation",
"of",
"instance",
"attribute",
"access",
"for",
"default",
"values",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L699-L727 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | BasicPropertyDescriptor._internal_set | def _internal_set(self, obj, value, hint=None, setter=None):
''' Internal implementation to set property values, that is used
by __set__, set_from_json, etc.
Delegate to the |Property| instance to prepare the value appropriately,
then `set.
Args:
obj (HasProps)
... | python | def _internal_set(self, obj, value, hint=None, setter=None):
''' Internal implementation to set property values, that is used
by __set__, set_from_json, etc.
Delegate to the |Property| instance to prepare the value appropriately,
then `set.
Args:
obj (HasProps)
... | [
"def",
"_internal_set",
"(",
"self",
",",
"obj",
",",
"value",
",",
"hint",
"=",
"None",
",",
"setter",
"=",
"None",
")",
":",
"value",
"=",
"self",
".",
"property",
".",
"prepare_value",
"(",
"obj",
",",
"self",
".",
"name",
",",
"value",
")",
"ol... | Internal implementation to set property values, that is used
by __set__, set_from_json, etc.
Delegate to the |Property| instance to prepare the value appropriately,
then `set.
Args:
obj (HasProps)
The object the property is being set on.
old (ob... | [
"Internal",
"implementation",
"to",
"set",
"property",
"values",
"that",
"is",
"used",
"by",
"__set__",
"set_from_json",
"etc",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L729-L769 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | BasicPropertyDescriptor._real_set | def _real_set(self, obj, old, value, hint=None, setter=None):
''' Internal implementation helper to set property values.
This function handles bookkeeping around noting whether values have
been explicitly set, etc.
Args:
obj (HasProps)
The object the propert... | python | def _real_set(self, obj, old, value, hint=None, setter=None):
''' Internal implementation helper to set property values.
This function handles bookkeeping around noting whether values have
been explicitly set, etc.
Args:
obj (HasProps)
The object the propert... | [
"def",
"_real_set",
"(",
"self",
",",
"obj",
",",
"old",
",",
"value",
",",
"hint",
"=",
"None",
",",
"setter",
"=",
"None",
")",
":",
"# Normally we want a \"no-op\" if the new value and old value are identical",
"# but some hinted events are in-place. This check will allo... | Internal implementation helper to set property values.
This function handles bookkeeping around noting whether values have
been explicitly set, etc.
Args:
obj (HasProps)
The object the property is being set on.
old (obj) :
The previous v... | [
"Internal",
"implementation",
"helper",
"to",
"set",
"property",
"values",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L771-L838 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | BasicPropertyDescriptor._notify_mutated | def _notify_mutated(self, obj, old, hint=None):
''' A method to call when a container is mutated "behind our back"
and we detect it with our |PropertyContainer| wrappers.
Args:
obj (HasProps) :
The object who's container value was mutated
old (object) :
... | python | def _notify_mutated(self, obj, old, hint=None):
''' A method to call when a container is mutated "behind our back"
and we detect it with our |PropertyContainer| wrappers.
Args:
obj (HasProps) :
The object who's container value was mutated
old (object) :
... | [
"def",
"_notify_mutated",
"(",
"self",
",",
"obj",
",",
"old",
",",
"hint",
"=",
"None",
")",
":",
"value",
"=",
"self",
".",
"__get__",
"(",
"obj",
",",
"obj",
".",
"__class__",
")",
"# re-validate because the contents of 'old' have changed,",
"# in some cases ... | A method to call when a container is mutated "behind our back"
and we detect it with our |PropertyContainer| wrappers.
Args:
obj (HasProps) :
The object who's container value was mutated
old (object) :
The "old" value of the container
... | [
"A",
"method",
"to",
"call",
"when",
"a",
"container",
"is",
"mutated",
"behind",
"our",
"back",
"and",
"we",
"detect",
"it",
"with",
"our",
"|PropertyContainer|",
"wrappers",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L842-L875 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | BasicPropertyDescriptor._trigger | def _trigger(self, obj, old, value, hint=None, setter=None):
''' Unconditionally send a change event notification for the property.
Args:
obj (HasProps)
The object the property is being set on.
old (obj) :
The previous value of the property
... | python | def _trigger(self, obj, old, value, hint=None, setter=None):
''' Unconditionally send a change event notification for the property.
Args:
obj (HasProps)
The object the property is being set on.
old (obj) :
The previous value of the property
... | [
"def",
"_trigger",
"(",
"self",
",",
"obj",
",",
"old",
",",
"value",
",",
"hint",
"=",
"None",
",",
"setter",
"=",
"None",
")",
":",
"if",
"hasattr",
"(",
"obj",
",",
"'trigger'",
")",
":",
"obj",
".",
"trigger",
"(",
"self",
".",
"name",
",",
... | Unconditionally send a change event notification for the property.
Args:
obj (HasProps)
The object the property is being set on.
old (obj) :
The previous value of the property
new (obj) :
The new value of the property
... | [
"Unconditionally",
"send",
"a",
"change",
"event",
"notification",
"for",
"the",
"property",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L877-L915 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | DataSpecPropertyDescriptor.set_from_json | def set_from_json(self, obj, json, models=None, setter=None):
''' Sets the value of this property from a JSON value.
This method first
Args:
obj (HasProps) :
json (JSON-dict) :
models(seq[Model], optional) :
setter (ClientSession or ServerSess... | python | def set_from_json(self, obj, json, models=None, setter=None):
''' Sets the value of this property from a JSON value.
This method first
Args:
obj (HasProps) :
json (JSON-dict) :
models(seq[Model], optional) :
setter (ClientSession or ServerSess... | [
"def",
"set_from_json",
"(",
"self",
",",
"obj",
",",
"json",
",",
"models",
"=",
"None",
",",
"setter",
"=",
"None",
")",
":",
"if",
"isinstance",
"(",
"json",
",",
"dict",
")",
":",
"# we want to try to keep the \"format\" of the data spec as string, dict, or nu... | Sets the value of this property from a JSON value.
This method first
Args:
obj (HasProps) :
json (JSON-dict) :
models(seq[Model], optional) :
setter (ClientSession or ServerSession or None, optional) :
This is used to prevent "boomeran... | [
"Sets",
"the",
"value",
"of",
"this",
"property",
"from",
"a",
"JSON",
"value",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L987-L1028 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | UnitsSpecPropertyDescriptor.set_from_json | def set_from_json(self, obj, json, models=None, setter=None):
''' Sets the value of this property from a JSON value.
This method first separately extracts and removes any ``units`` field
in the JSON, and sets the associated units property directly. The
remaining JSON is then passed to t... | python | def set_from_json(self, obj, json, models=None, setter=None):
''' Sets the value of this property from a JSON value.
This method first separately extracts and removes any ``units`` field
in the JSON, and sets the associated units property directly. The
remaining JSON is then passed to t... | [
"def",
"set_from_json",
"(",
"self",
",",
"obj",
",",
"json",
",",
"models",
"=",
"None",
",",
"setter",
"=",
"None",
")",
":",
"json",
"=",
"self",
".",
"_extract_units",
"(",
"obj",
",",
"json",
")",
"super",
"(",
"UnitsSpecPropertyDescriptor",
",",
... | Sets the value of this property from a JSON value.
This method first separately extracts and removes any ``units`` field
in the JSON, and sets the associated units property directly. The
remaining JSON is then passed to the superclass ``set_from_json`` to
be handled.
Args:
... | [
"Sets",
"the",
"value",
"of",
"this",
"property",
"from",
"a",
"JSON",
"value",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L1091-L1126 | train |
bokeh/bokeh | bokeh/core/property/descriptors.py | UnitsSpecPropertyDescriptor._extract_units | def _extract_units(self, obj, value):
''' Internal helper for dealing with units associated units properties
when setting values on |UnitsSpec| properties.
When ``value`` is a dict, this function may mutate the value of the
associated units property.
Args:
obj (HasP... | python | def _extract_units(self, obj, value):
''' Internal helper for dealing with units associated units properties
when setting values on |UnitsSpec| properties.
When ``value`` is a dict, this function may mutate the value of the
associated units property.
Args:
obj (HasP... | [
"def",
"_extract_units",
"(",
"self",
",",
"obj",
",",
"value",
")",
":",
"if",
"isinstance",
"(",
"value",
",",
"dict",
")",
":",
"if",
"'units'",
"in",
"value",
":",
"value",
"=",
"copy",
"(",
"value",
")",
"# so we can modify it",
"units",
"=",
"val... | Internal helper for dealing with units associated units properties
when setting values on |UnitsSpec| properties.
When ``value`` is a dict, this function may mutate the value of the
associated units property.
Args:
obj (HasProps) : instance to update units spec property val... | [
"Internal",
"helper",
"for",
"dealing",
"with",
"units",
"associated",
"units",
"properties",
"when",
"setting",
"values",
"on",
"|UnitsSpec|",
"properties",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/core/property/descriptors.py#L1128-L1150 | train |
bokeh/bokeh | bokeh/io/notebook.py | install_notebook_hook | def install_notebook_hook(notebook_type, load, show_doc, show_app, overwrite=False):
''' Install a new notebook display hook.
Bokeh comes with support for Jupyter notebooks built-in. However, there are
other kinds of notebooks in use by different communities. This function
provides a mechanism for othe... | python | def install_notebook_hook(notebook_type, load, show_doc, show_app, overwrite=False):
''' Install a new notebook display hook.
Bokeh comes with support for Jupyter notebooks built-in. However, there are
other kinds of notebooks in use by different communities. This function
provides a mechanism for othe... | [
"def",
"install_notebook_hook",
"(",
"notebook_type",
",",
"load",
",",
"show_doc",
",",
"show_app",
",",
"overwrite",
"=",
"False",
")",
":",
"if",
"notebook_type",
"in",
"_HOOKS",
"and",
"not",
"overwrite",
":",
"raise",
"RuntimeError",
"(",
"\"hook for notebo... | Install a new notebook display hook.
Bokeh comes with support for Jupyter notebooks built-in. However, there are
other kinds of notebooks in use by different communities. This function
provides a mechanism for other projects to instruct Bokeh how to display
content in other notebooks.
This functio... | [
"Install",
"a",
"new",
"notebook",
"display",
"hook",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/notebook.py#L112-L189 | train |
bokeh/bokeh | bokeh/io/notebook.py | push_notebook | def push_notebook(document=None, state=None, handle=None):
''' Update Bokeh plots in a Jupyter notebook output cells with new data
or property values.
When working the the notebook, the ``show`` function can be passed the
argument ``notebook_handle=True``, which will cause it to return a
handle obj... | python | def push_notebook(document=None, state=None, handle=None):
''' Update Bokeh plots in a Jupyter notebook output cells with new data
or property values.
When working the the notebook, the ``show`` function can be passed the
argument ``notebook_handle=True``, which will cause it to return a
handle obj... | [
"def",
"push_notebook",
"(",
"document",
"=",
"None",
",",
"state",
"=",
"None",
",",
"handle",
"=",
"None",
")",
":",
"from",
".",
".",
"protocol",
"import",
"Protocol",
"if",
"state",
"is",
"None",
":",
"state",
"=",
"curstate",
"(",
")",
"if",
"no... | Update Bokeh plots in a Jupyter notebook output cells with new data
or property values.
When working the the notebook, the ``show`` function can be passed the
argument ``notebook_handle=True``, which will cause it to return a
handle object that can be used to update the Bokeh output later. When
``p... | [
"Update",
"Bokeh",
"plots",
"in",
"a",
"Jupyter",
"notebook",
"output",
"cells",
"with",
"new",
"data",
"or",
"property",
"values",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/notebook.py#L191-L275 | train |
bokeh/bokeh | bokeh/io/notebook.py | run_notebook_hook | def run_notebook_hook(notebook_type, action, *args, **kw):
''' Run an installed notebook hook with supplied arguments.
Args:
noteboook_type (str) :
Name of an existing installed notebook hook
actions (str) :
Name of the hook action to execute, ``'doc'`` or ``'app'``
... | python | def run_notebook_hook(notebook_type, action, *args, **kw):
''' Run an installed notebook hook with supplied arguments.
Args:
noteboook_type (str) :
Name of an existing installed notebook hook
actions (str) :
Name of the hook action to execute, ``'doc'`` or ``'app'``
... | [
"def",
"run_notebook_hook",
"(",
"notebook_type",
",",
"action",
",",
"*",
"args",
",",
"*",
"*",
"kw",
")",
":",
"if",
"notebook_type",
"not",
"in",
"_HOOKS",
":",
"raise",
"RuntimeError",
"(",
"\"no display hook installed for notebook type %r\"",
"%",
"notebook_... | Run an installed notebook hook with supplied arguments.
Args:
noteboook_type (str) :
Name of an existing installed notebook hook
actions (str) :
Name of the hook action to execute, ``'doc'`` or ``'app'``
All other arguments and keyword arguments are passed to the hook ... | [
"Run",
"an",
"installed",
"notebook",
"hook",
"with",
"supplied",
"arguments",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/notebook.py#L277-L302 | train |
bokeh/bokeh | bokeh/io/notebook.py | destroy_server | def destroy_server(server_id):
''' Given a UUID id of a div removed or replaced in the Jupyter
notebook, destroy the corresponding server sessions and stop it.
'''
server = curstate().uuid_to_server.get(server_id, None)
if server is None:
log.debug("No server instance found for uuid: %r" % ... | python | def destroy_server(server_id):
''' Given a UUID id of a div removed or replaced in the Jupyter
notebook, destroy the corresponding server sessions and stop it.
'''
server = curstate().uuid_to_server.get(server_id, None)
if server is None:
log.debug("No server instance found for uuid: %r" % ... | [
"def",
"destroy_server",
"(",
"server_id",
")",
":",
"server",
"=",
"curstate",
"(",
")",
".",
"uuid_to_server",
".",
"get",
"(",
"server_id",
",",
"None",
")",
"if",
"server",
"is",
"None",
":",
"log",
".",
"debug",
"(",
"\"No server instance found for uuid... | Given a UUID id of a div removed or replaced in the Jupyter
notebook, destroy the corresponding server sessions and stop it. | [
"Given",
"a",
"UUID",
"id",
"of",
"a",
"div",
"removed",
"or",
"replaced",
"in",
"the",
"Jupyter",
"notebook",
"destroy",
"the",
"corresponding",
"server",
"sessions",
"and",
"stop",
"it",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/notebook.py#L308-L325 | train |
bokeh/bokeh | bokeh/io/notebook.py | load_notebook | def load_notebook(resources=None, verbose=False, hide_banner=False, load_timeout=5000):
''' Prepare the IPython notebook for displaying Bokeh plots.
Args:
resources (Resource, optional) :
how and where to load BokehJS from (default: CDN)
verbose (bool, optional) :
wheth... | python | def load_notebook(resources=None, verbose=False, hide_banner=False, load_timeout=5000):
''' Prepare the IPython notebook for displaying Bokeh plots.
Args:
resources (Resource, optional) :
how and where to load BokehJS from (default: CDN)
verbose (bool, optional) :
wheth... | [
"def",
"load_notebook",
"(",
"resources",
"=",
"None",
",",
"verbose",
"=",
"False",
",",
"hide_banner",
"=",
"False",
",",
"load_timeout",
"=",
"5000",
")",
":",
"global",
"_NOTEBOOK_LOADED",
"from",
".",
".",
"import",
"__version__",
"from",
".",
".",
"c... | Prepare the IPython notebook for displaying Bokeh plots.
Args:
resources (Resource, optional) :
how and where to load BokehJS from (default: CDN)
verbose (bool, optional) :
whether to report detailed settings (default: False)
hide_banner (bool, optional):
... | [
"Prepare",
"the",
"IPython",
"notebook",
"for",
"displaying",
"Bokeh",
"plots",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/notebook.py#L348-L423 | train |
bokeh/bokeh | bokeh/io/notebook.py | show_app | def show_app(app, state, notebook_url, port=0, **kw):
''' Embed a Bokeh server application in a Jupyter Notebook output cell.
Args:
app (Application or callable) :
A Bokeh Application to embed inline in a Jupyter notebook.
state (State) :
** Unused **
notebook_... | python | def show_app(app, state, notebook_url, port=0, **kw):
''' Embed a Bokeh server application in a Jupyter Notebook output cell.
Args:
app (Application or callable) :
A Bokeh Application to embed inline in a Jupyter notebook.
state (State) :
** Unused **
notebook_... | [
"def",
"show_app",
"(",
"app",
",",
"state",
",",
"notebook_url",
",",
"port",
"=",
"0",
",",
"*",
"*",
"kw",
")",
":",
"logging",
".",
"basicConfig",
"(",
")",
"from",
"tornado",
".",
"ioloop",
"import",
"IOLoop",
"from",
".",
".",
"server",
".",
... | Embed a Bokeh server application in a Jupyter Notebook output cell.
Args:
app (Application or callable) :
A Bokeh Application to embed inline in a Jupyter notebook.
state (State) :
** Unused **
notebook_url (str or callable) :
The URL of the notebook se... | [
"Embed",
"a",
"Bokeh",
"server",
"application",
"in",
"a",
"Jupyter",
"Notebook",
"output",
"cell",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/io/notebook.py#L433-L501 | train |
bokeh/bokeh | bokeh/colors/color.py | Color.clamp | def clamp(value, maximum=None):
''' Clamp numeric values to be non-negative, an optionally, less than a
given maximum.
Args:
value (float) :
A number to clamp.
maximum (float, optional) :
A max bound to to clamp to. If None, there is no u... | python | def clamp(value, maximum=None):
''' Clamp numeric values to be non-negative, an optionally, less than a
given maximum.
Args:
value (float) :
A number to clamp.
maximum (float, optional) :
A max bound to to clamp to. If None, there is no u... | [
"def",
"clamp",
"(",
"value",
",",
"maximum",
"=",
"None",
")",
":",
"value",
"=",
"max",
"(",
"value",
",",
"0",
")",
"if",
"maximum",
"is",
"not",
"None",
":",
"return",
"min",
"(",
"value",
",",
"maximum",
")",
"else",
":",
"return",
"value"
] | Clamp numeric values to be non-negative, an optionally, less than a
given maximum.
Args:
value (float) :
A number to clamp.
maximum (float, optional) :
A max bound to to clamp to. If None, there is no upper bound,
and values are o... | [
"Clamp",
"numeric",
"values",
"to",
"be",
"non",
"-",
"negative",
"an",
"optionally",
"less",
"than",
"a",
"given",
"maximum",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/colors/color.py#L50-L71 | train |
bokeh/bokeh | bokeh/colors/color.py | Color.darken | def darken(self, amount):
''' Darken (reduce the luminance) of this color.
Args:
amount (float) :
Amount to reduce the luminance by (clamped above zero)
Returns:
Color
'''
hsl = self.to_hsl()
hsl.l = self.clamp(hsl.l - amount)
... | python | def darken(self, amount):
''' Darken (reduce the luminance) of this color.
Args:
amount (float) :
Amount to reduce the luminance by (clamped above zero)
Returns:
Color
'''
hsl = self.to_hsl()
hsl.l = self.clamp(hsl.l - amount)
... | [
"def",
"darken",
"(",
"self",
",",
"amount",
")",
":",
"hsl",
"=",
"self",
".",
"to_hsl",
"(",
")",
"hsl",
".",
"l",
"=",
"self",
".",
"clamp",
"(",
"hsl",
".",
"l",
"-",
"amount",
")",
"return",
"self",
".",
"from_hsl",
"(",
"hsl",
")"
] | Darken (reduce the luminance) of this color.
Args:
amount (float) :
Amount to reduce the luminance by (clamped above zero)
Returns:
Color | [
"Darken",
"(",
"reduce",
"the",
"luminance",
")",
"of",
"this",
"color",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/colors/color.py#L81-L94 | train |
bokeh/bokeh | bokeh/colors/color.py | Color.lighten | def lighten(self, amount):
''' Lighten (increase the luminance) of this color.
Args:
amount (float) :
Amount to increase the luminance by (clamped above zero)
Returns:
Color
'''
hsl = self.to_hsl()
hsl.l = self.clamp(hsl.l + amou... | python | def lighten(self, amount):
''' Lighten (increase the luminance) of this color.
Args:
amount (float) :
Amount to increase the luminance by (clamped above zero)
Returns:
Color
'''
hsl = self.to_hsl()
hsl.l = self.clamp(hsl.l + amou... | [
"def",
"lighten",
"(",
"self",
",",
"amount",
")",
":",
"hsl",
"=",
"self",
".",
"to_hsl",
"(",
")",
"hsl",
".",
"l",
"=",
"self",
".",
"clamp",
"(",
"hsl",
".",
"l",
"+",
"amount",
",",
"1",
")",
"return",
"self",
".",
"from_hsl",
"(",
"hsl",
... | Lighten (increase the luminance) of this color.
Args:
amount (float) :
Amount to increase the luminance by (clamped above zero)
Returns:
Color | [
"Lighten",
"(",
"increase",
"the",
"luminance",
")",
"of",
"this",
"color",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/colors/color.py#L129-L142 | train |
bokeh/bokeh | bokeh/models/widgets/buttons.py | Toggle.on_click | def on_click(self, handler):
""" Set up a handler for button state changes (clicks).
Args:
handler (func) : handler function to call when button is toggled.
Returns:
None
"""
self.on_change('active', lambda attr, old, new: handler(new)) | python | def on_click(self, handler):
""" Set up a handler for button state changes (clicks).
Args:
handler (func) : handler function to call when button is toggled.
Returns:
None
"""
self.on_change('active', lambda attr, old, new: handler(new)) | [
"def",
"on_click",
"(",
"self",
",",
"handler",
")",
":",
"self",
".",
"on_change",
"(",
"'active'",
",",
"lambda",
"attr",
",",
"old",
",",
"new",
":",
"handler",
"(",
"new",
")",
")"
] | Set up a handler for button state changes (clicks).
Args:
handler (func) : handler function to call when button is toggled.
Returns:
None | [
"Set",
"up",
"a",
"handler",
"for",
"button",
"state",
"changes",
"(",
"clicks",
")",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/widgets/buttons.py#L129-L139 | train |
bokeh/bokeh | bokeh/models/widgets/buttons.py | Dropdown.on_click | def on_click(self, handler):
''' Set up a handler for button or menu item clicks.
Args:
handler (func) : handler function to call when button is activated.
Returns:
None
'''
self.on_event(ButtonClick, handler)
self.on_event(MenuItemClick, handle... | python | def on_click(self, handler):
''' Set up a handler for button or menu item clicks.
Args:
handler (func) : handler function to call when button is activated.
Returns:
None
'''
self.on_event(ButtonClick, handler)
self.on_event(MenuItemClick, handle... | [
"def",
"on_click",
"(",
"self",
",",
"handler",
")",
":",
"self",
".",
"on_event",
"(",
"ButtonClick",
",",
"handler",
")",
"self",
".",
"on_event",
"(",
"MenuItemClick",
",",
"handler",
")"
] | Set up a handler for button or menu item clicks.
Args:
handler (func) : handler function to call when button is activated.
Returns:
None | [
"Set",
"up",
"a",
"handler",
"for",
"button",
"or",
"menu",
"item",
"clicks",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/widgets/buttons.py#L160-L171 | train |
bokeh/bokeh | bokeh/models/widgets/buttons.py | Dropdown.js_on_click | def js_on_click(self, handler):
''' Set up a JavaScript handler for button or menu item clicks. '''
self.js_on_event(ButtonClick, handler)
self.js_on_event(MenuItemClick, handler) | python | def js_on_click(self, handler):
''' Set up a JavaScript handler for button or menu item clicks. '''
self.js_on_event(ButtonClick, handler)
self.js_on_event(MenuItemClick, handler) | [
"def",
"js_on_click",
"(",
"self",
",",
"handler",
")",
":",
"self",
".",
"js_on_event",
"(",
"ButtonClick",
",",
"handler",
")",
"self",
".",
"js_on_event",
"(",
"MenuItemClick",
",",
"handler",
")"
] | Set up a JavaScript handler for button or menu item clicks. | [
"Set",
"up",
"a",
"JavaScript",
"handler",
"for",
"button",
"or",
"menu",
"item",
"clicks",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/models/widgets/buttons.py#L173-L176 | train |
bokeh/bokeh | bokeh/util/dependencies.py | import_optional | def import_optional(mod_name):
''' Attempt to import an optional dependency.
Silently returns None if the requested module is not available.
Args:
mod_name (str) : name of the optional module to try to import
Returns:
imported module or None, if import fails
'''
try:
... | python | def import_optional(mod_name):
''' Attempt to import an optional dependency.
Silently returns None if the requested module is not available.
Args:
mod_name (str) : name of the optional module to try to import
Returns:
imported module or None, if import fails
'''
try:
... | [
"def",
"import_optional",
"(",
"mod_name",
")",
":",
"try",
":",
"return",
"import_module",
"(",
"mod_name",
")",
"except",
"ImportError",
":",
"pass",
"except",
"Exception",
":",
"msg",
"=",
"\"Failed to import optional module `{}`\"",
".",
"format",
"(",
"mod_na... | Attempt to import an optional dependency.
Silently returns None if the requested module is not available.
Args:
mod_name (str) : name of the optional module to try to import
Returns:
imported module or None, if import fails | [
"Attempt",
"to",
"import",
"an",
"optional",
"dependency",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/util/dependencies.py#L50-L68 | train |
bokeh/bokeh | bokeh/util/dependencies.py | detect_phantomjs | def detect_phantomjs(version='2.1'):
''' Detect if PhantomJS is avaiable in PATH, at a minimum version.
Args:
version (str, optional) :
Required minimum version for PhantomJS (mostly for testing)
Returns:
str, path to PhantomJS
'''
if settings.phantomjs_path() is not N... | python | def detect_phantomjs(version='2.1'):
''' Detect if PhantomJS is avaiable in PATH, at a minimum version.
Args:
version (str, optional) :
Required minimum version for PhantomJS (mostly for testing)
Returns:
str, path to PhantomJS
'''
if settings.phantomjs_path() is not N... | [
"def",
"detect_phantomjs",
"(",
"version",
"=",
"'2.1'",
")",
":",
"if",
"settings",
".",
"phantomjs_path",
"(",
")",
"is",
"not",
"None",
":",
"phantomjs_path",
"=",
"settings",
".",
"phantomjs_path",
"(",
")",
"else",
":",
"if",
"hasattr",
"(",
"shutil",... | Detect if PhantomJS is avaiable in PATH, at a minimum version.
Args:
version (str, optional) :
Required minimum version for PhantomJS (mostly for testing)
Returns:
str, path to PhantomJS | [
"Detect",
"if",
"PhantomJS",
"is",
"avaiable",
"in",
"PATH",
"at",
"a",
"minimum",
"version",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/util/dependencies.py#L91-L128 | train |
bokeh/bokeh | bokeh/protocol/receiver.py | Receiver.consume | def consume(self, fragment):
''' Consume individual protocol message fragments.
Args:
fragment (``JSON``) :
A message fragment to assemble. When a complete message is
assembled, the receiver state will reset to begin consuming a
new message.
... | python | def consume(self, fragment):
''' Consume individual protocol message fragments.
Args:
fragment (``JSON``) :
A message fragment to assemble. When a complete message is
assembled, the receiver state will reset to begin consuming a
new message.
... | [
"def",
"consume",
"(",
"self",
",",
"fragment",
")",
":",
"self",
".",
"_current_consumer",
"(",
"fragment",
")",
"raise",
"gen",
".",
"Return",
"(",
"self",
".",
"_message",
")"
] | Consume individual protocol message fragments.
Args:
fragment (``JSON``) :
A message fragment to assemble. When a complete message is
assembled, the receiver state will reset to begin consuming a
new message. | [
"Consume",
"individual",
"protocol",
"message",
"fragments",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/protocol/receiver.py#L108-L119 | train |
bokeh/bokeh | bokeh/sphinxext/bokeh_autodoc.py | setup | def setup(app):
''' Required Sphinx extension setup function. '''
app.add_autodocumenter(ColorDocumenter)
app.add_autodocumenter(EnumDocumenter)
app.add_autodocumenter(PropDocumenter)
app.add_autodocumenter(ModelDocumenter) | python | def setup(app):
''' Required Sphinx extension setup function. '''
app.add_autodocumenter(ColorDocumenter)
app.add_autodocumenter(EnumDocumenter)
app.add_autodocumenter(PropDocumenter)
app.add_autodocumenter(ModelDocumenter) | [
"def",
"setup",
"(",
"app",
")",
":",
"app",
".",
"add_autodocumenter",
"(",
"ColorDocumenter",
")",
"app",
".",
"add_autodocumenter",
"(",
"EnumDocumenter",
")",
"app",
".",
"add_autodocumenter",
"(",
"PropDocumenter",
")",
"app",
".",
"add_autodocumenter",
"("... | Required Sphinx extension setup function. | [
"Required",
"Sphinx",
"extension",
"setup",
"function",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/sphinxext/bokeh_autodoc.py#L107-L112 | train |
bokeh/bokeh | bokeh/driving.py | bounce | def bounce(sequence):
''' Return a driver function that can advance a "bounced" sequence
of values.
.. code-block:: none
seq = [0, 1, 2, 3]
# bounce(seq) => [0, 1, 2, 3, 3, 2, 1, 0, 0, 1, 2, ...]
Args:
sequence (seq) : a sequence of values for the driver to bounce
'''
... | python | def bounce(sequence):
''' Return a driver function that can advance a "bounced" sequence
of values.
.. code-block:: none
seq = [0, 1, 2, 3]
# bounce(seq) => [0, 1, 2, 3, 3, 2, 1, 0, 0, 1, 2, ...]
Args:
sequence (seq) : a sequence of values for the driver to bounce
'''
... | [
"def",
"bounce",
"(",
"sequence",
")",
":",
"N",
"=",
"len",
"(",
"sequence",
")",
"def",
"f",
"(",
"i",
")",
":",
"div",
",",
"mod",
"=",
"divmod",
"(",
"i",
",",
"N",
")",
"if",
"div",
"%",
"2",
"==",
"0",
":",
"return",
"sequence",
"[",
... | Return a driver function that can advance a "bounced" sequence
of values.
.. code-block:: none
seq = [0, 1, 2, 3]
# bounce(seq) => [0, 1, 2, 3, 3, 2, 1, 0, 0, 1, 2, ...]
Args:
sequence (seq) : a sequence of values for the driver to bounce | [
"Return",
"a",
"driver",
"function",
"that",
"can",
"advance",
"a",
"bounced",
"sequence",
"of",
"values",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/driving.py#L73-L94 | train |
bokeh/bokeh | bokeh/driving.py | cosine | def cosine(w, A=1, phi=0, offset=0):
''' Return a driver function that can advance a sequence of cosine values.
.. code-block:: none
value = A * cos(w*i + phi) + offset
Args:
w (float) : a frequency for the cosine driver
A (float) : an amplitude for the cosine driver
phi (... | python | def cosine(w, A=1, phi=0, offset=0):
''' Return a driver function that can advance a sequence of cosine values.
.. code-block:: none
value = A * cos(w*i + phi) + offset
Args:
w (float) : a frequency for the cosine driver
A (float) : an amplitude for the cosine driver
phi (... | [
"def",
"cosine",
"(",
"w",
",",
"A",
"=",
"1",
",",
"phi",
"=",
"0",
",",
"offset",
"=",
"0",
")",
":",
"from",
"math",
"import",
"cos",
"def",
"f",
"(",
"i",
")",
":",
"return",
"A",
"*",
"cos",
"(",
"w",
"*",
"i",
"+",
"phi",
")",
"+",
... | Return a driver function that can advance a sequence of cosine values.
.. code-block:: none
value = A * cos(w*i + phi) + offset
Args:
w (float) : a frequency for the cosine driver
A (float) : an amplitude for the cosine driver
phi (float) : a phase offset to start the cosine d... | [
"Return",
"a",
"driver",
"function",
"that",
"can",
"advance",
"a",
"sequence",
"of",
"cosine",
"values",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/driving.py#L96-L113 | train |
bokeh/bokeh | bokeh/driving.py | linear | def linear(m=1, b=0):
''' Return a driver function that can advance a sequence of linear values.
.. code-block:: none
value = m * i + b
Args:
m (float) : a slope for the linear driver
x (float) : an offset for the linear driver
'''
def f(i):
return m * i + b
r... | python | def linear(m=1, b=0):
''' Return a driver function that can advance a sequence of linear values.
.. code-block:: none
value = m * i + b
Args:
m (float) : a slope for the linear driver
x (float) : an offset for the linear driver
'''
def f(i):
return m * i + b
r... | [
"def",
"linear",
"(",
"m",
"=",
"1",
",",
"b",
"=",
"0",
")",
":",
"def",
"f",
"(",
"i",
")",
":",
"return",
"m",
"*",
"i",
"+",
"b",
"return",
"partial",
"(",
"force",
",",
"sequence",
"=",
"_advance",
"(",
"f",
")",
")"
] | Return a driver function that can advance a sequence of linear values.
.. code-block:: none
value = m * i + b
Args:
m (float) : a slope for the linear driver
x (float) : an offset for the linear driver | [
"Return",
"a",
"driver",
"function",
"that",
"can",
"advance",
"a",
"sequence",
"of",
"linear",
"values",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/driving.py#L137-L151 | train |
bokeh/bokeh | bokeh/driving.py | repeat | def repeat(sequence):
''' Return a driver function that can advance a repeated of values.
.. code-block:: none
seq = [0, 1, 2, 3]
# repeat(seq) => [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, ...]
Args:
sequence (seq) : a sequence of values for the driver to bounce
'''
N = len(sequenc... | python | def repeat(sequence):
''' Return a driver function that can advance a repeated of values.
.. code-block:: none
seq = [0, 1, 2, 3]
# repeat(seq) => [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, ...]
Args:
sequence (seq) : a sequence of values for the driver to bounce
'''
N = len(sequenc... | [
"def",
"repeat",
"(",
"sequence",
")",
":",
"N",
"=",
"len",
"(",
"sequence",
")",
"def",
"f",
"(",
"i",
")",
":",
"return",
"sequence",
"[",
"i",
"%",
"N",
"]",
"return",
"partial",
"(",
"force",
",",
"sequence",
"=",
"_advance",
"(",
"f",
")",
... | Return a driver function that can advance a repeated of values.
.. code-block:: none
seq = [0, 1, 2, 3]
# repeat(seq) => [0, 1, 2, 3, 0, 1, 2, 3, 0, 1, ...]
Args:
sequence (seq) : a sequence of values for the driver to bounce | [
"Return",
"a",
"driver",
"function",
"that",
"can",
"advance",
"a",
"repeated",
"of",
"values",
"."
] | dc8cf49e4e4302fd38537ad089ece81fbcca4737 | https://github.com/bokeh/bokeh/blob/dc8cf49e4e4302fd38537ad089ece81fbcca4737/bokeh/driving.py#L153-L169 | train |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.