##// END OF EJS Templates
don't import numpy in pickleutil until it is used...
don't import numpy in pickleutil until it is used can affect startup time, memory usage, etc. as seen in #4199

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displaypub.py
178 lines | 6.3 KiB | text/x-python | PythonLexer
"""An interface for publishing rich data to frontends.
There are two components of the display system:
* Display formatters, which take a Python object and compute the
representation of the object in various formats (text, HTML, SVG, etc.).
* The display publisher that is used to send the representation data to the
various frontends.
This module defines the logic display publishing. The display publisher uses
the ``display_data`` message type that is defined in the IPython messaging
spec.
Authors:
* Brian Granger
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2008-2011 The IPython Development Team
#
# Distributed under the terms of the BSD License. The full license is in
# the file COPYING, distributed as part of this software.
#-----------------------------------------------------------------------------
#-----------------------------------------------------------------------------
# Imports
#-----------------------------------------------------------------------------
from __future__ import print_function
from IPython.config.configurable import Configurable
from IPython.utils import io
from IPython.utils.traitlets import List
#-----------------------------------------------------------------------------
# Main payload class
#-----------------------------------------------------------------------------
class DisplayPublisher(Configurable):
"""A traited class that publishes display data to frontends.
Instances of this class are created by the main IPython object and should
be accessed there.
"""
def _validate_data(self, source, data, metadata=None):
"""Validate the display data.
Parameters
----------
source : str
The fully dotted name of the callable that created the data, like
:func:`foo.bar.my_formatter`.
data : dict
The formata data dictionary.
metadata : dict
Any metadata for the data.
"""
if not isinstance(source, basestring):
raise TypeError('source must be a str, got: %r' % source)
if not isinstance(data, dict):
raise TypeError('data must be a dict, got: %r' % data)
if metadata is not None:
if not isinstance(metadata, dict):
raise TypeError('metadata must be a dict, got: %r' % data)
def publish(self, source, data, metadata=None):
"""Publish data and metadata to all frontends.
See the ``display_data`` message in the messaging documentation for
more details about this message type.
The following MIME types are currently implemented:
* text/plain
* text/html
* text/latex
* application/json
* application/javascript
* image/png
* image/jpeg
* image/svg+xml
Parameters
----------
source : str
A string that give the function or method that created the data,
such as 'IPython.core.page'.
data : dict
A dictionary having keys that are valid MIME types (like
'text/plain' or 'image/svg+xml') and values that are the data for
that MIME type. The data itself must be a JSON'able data
structure. Minimally all data should have the 'text/plain' data,
which can be displayed by all frontends. If more than the plain
text is given, it is up to the frontend to decide which
representation to use.
metadata : dict
A dictionary for metadata related to the data. This can contain
arbitrary key, value pairs that frontends can use to interpret
the data. Metadata specific to each mime-type can be specified
in the metadata dict with the same mime-type keys as
the data itself.
"""
# The default is to simply write the plain text data using io.stdout.
if 'text/plain' in data:
print(data['text/plain'], file=io.stdout)
def clear_output(self, stdout=True, stderr=True, other=True):
"""Clear the output of the cell receiving output."""
if stdout:
print('\033[2K\r', file=io.stdout, end='')
io.stdout.flush()
if stderr:
print('\033[2K\r', file=io.stderr, end='')
io.stderr.flush()
class CapturingDisplayPublisher(DisplayPublisher):
"""A DisplayPublisher that stores"""
outputs = List()
def publish(self, source, data, metadata=None):
self.outputs.append((source, data, metadata))
def clear_output(self, stdout=True, stderr=True, other=True):
super(CapturingDisplayPublisher, self).clear_output(stdout, stderr, other)
if other:
# empty the list, *do not* reassign a new list
del self.outputs[:]
def publish_display_data(source, data, metadata=None):
"""Publish data and metadata to all frontends.
See the ``display_data`` message in the messaging documentation for
more details about this message type.
The following MIME types are currently implemented:
* text/plain
* text/html
* text/latex
* application/json
* application/javascript
* image/png
* image/jpeg
* image/svg+xml
Parameters
----------
source : str
A string that give the function or method that created the data,
such as 'IPython.core.page'.
data : dict
A dictionary having keys that are valid MIME types (like
'text/plain' or 'image/svg+xml') and values that are the data for
that MIME type. The data itself must be a JSON'able data
structure. Minimally all data should have the 'text/plain' data,
which can be displayed by all frontends. If more than the plain
text is given, it is up to the frontend to decide which
representation to use.
metadata : dict
A dictionary for metadata related to the data. This can contain
arbitrary key, value pairs that frontends can use to interpret
the data. mime-type keys matching those in data can be used
to specify metadata about particular representations.
"""
from IPython.core.interactiveshell import InteractiveShell
InteractiveShell.instance().display_pub.publish(
source,
data,
metadata
)