""" Bokeh is a Python interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of novel graphics in the style of d3.js, but also deliver this capability with high-performance interactivity over very large or streaming datasets. Bokeh can help anyone who would like to quickly and easily create interactive plots, dashboards, and data applications. For full documentation, please visit: http://bokeh.pydata.org """ from __future__ import absolute_import, print_function # configure Bokeh version from .util.version import __version__; __version__ from .util.version import __base_version__; __base_version__ # configure Bokeh logger from .util import logconfig del logconfig # configure deprecation warnings import warnings from .util.deprecate import BokehDeprecationWarning warnings.simplefilter('always', BokehDeprecationWarning) # imports below are names we want to make available in the bokeh # module as transitive imports from . import sampledata; sampledata def test(args=None): ''' Run the Bokeh unit tests under the bokeh python directory using ``py.test``. .. note:: Does not run any BokehJS, examples, or integration tests. Args: args(list, optional): command line arguments accepted by ``py.test`` For example, ``args=['-s', '-k charts']`` prevents capture of standard out and only runs tests that match ``"charts"``. For more ``py.test`` options see http://pytest.org/latest/usage.html. Returns: int: ``py.test`` exitcode ''' from .util.testing import runtests return runtests(args) def license(): ''' Print the Bokeh license to the console. Returns: None ''' from os.path import join with open(join(__path__[0], 'LICENSE.txt')) as lic: print(lic.read())