fix ya.make

1 files changed, 0 insertions, 107 deletions

diff --git a/contrib/python/matplotlib-inline/matplotlib_inline/config.py b/contrib/python/matplotlib-inline/matplotlib_inline/config.py
deleted file mode 100644
index c0f398069e0..00000000000
--- a/contrib/python/matplotlib-inline/matplotlib_inline/config.py
+++ /dev/null
@@ -1,107 +0,0 @@
-"""Configurable for configuring the IPython inline backend
-
-This module does not import anything from matplotlib.
-"""
-
-# Copyright (c) IPython Development Team.
-# Distributed under the terms of the BSD 3-Clause License.
-
-from traitlets.config.configurable import SingletonConfigurable
-from traitlets import (
-    Dict, Instance, Set, Bool, TraitError, Unicode
-)
-
-
-# Configurable for inline backend options
-def pil_available():
-    """Test if PIL/Pillow is available"""
-    out = False
-    try:
-        from PIL import Image  # noqa
-        out = True
-    except ImportError:
-        pass
-    return out
-
-
-# Inherit from InlineBackendConfig for deprecation purposes
-class InlineBackendConfig(SingletonConfigurable):
-    pass
-
-
-class InlineBackend(InlineBackendConfig):
-    """An object to store configuration of the inline backend."""
-
-    # The typical default figure size is too large for inline use,
-    # so we shrink the figure size to 6x4, and tweak fonts to
-    # make that fit.
-    rc = Dict(
-        {
-            'figure.figsize': (6.0, 4.0),
-            # play nicely with white background in the Qt and notebook frontend
-            'figure.facecolor': (1, 1, 1, 0),
-            'figure.edgecolor': (1, 1, 1, 0),
-            # 12pt labels get cutoff on 6x4 logplots, so use 10pt.
-            'font.size': 10,
-            # 72 dpi matches SVG/qtconsole
-            # this only affects PNG export, as SVG has no dpi setting
-            'figure.dpi': 72,
-            # 10pt still needs a little more room on the xlabel:
-            'figure.subplot.bottom': .125
-        },
-        help="""Subset of matplotlib rcParams that should be different for the
-        inline backend."""
-    ).tag(config=True)
-
-    figure_formats = Set(
-        {'png'},
-        help="""A set of figure formats to enable: 'png',
-                'retina', 'jpeg', 'svg', 'pdf'.""").tag(config=True)
-
-    def _update_figure_formatters(self):
-        if self.shell is not None:
-            from IPython.core.pylabtools import select_figure_formats
-            select_figure_formats(self.shell, self.figure_formats, **self.print_figure_kwargs)
-
-    def _figure_formats_changed(self, name, old, new):
-        if 'jpg' in new or 'jpeg' in new:
-            if not pil_available():
-                raise TraitError("Requires PIL/Pillow for JPG figures")
-        self._update_figure_formatters()
-
-    figure_format = Unicode(help="""The figure format to enable (deprecated
-                                         use `figure_formats` instead)""").tag(config=True)
-
-    def _figure_format_changed(self, name, old, new):
-        if new:
-            self.figure_formats = {new}
-
-    print_figure_kwargs = Dict(
-        {'bbox_inches': 'tight'},
-        help="""Extra kwargs to be passed to fig.canvas.print_figure.
-
-        Logical examples include: bbox_inches, quality (for jpeg figures), etc.
-        """
-    ).tag(config=True)
-    _print_figure_kwargs_changed = _update_figure_formatters
-
-    close_figures = Bool(
-        True,
-        help="""Close all figures at the end of each cell.
-
-        When True, ensures that each cell starts with no active figures, but it
-        also means that one must keep track of references in order to edit or
-        redraw figures in subsequent cells. This mode is ideal for the notebook,
-        where residual plots from other cells might be surprising.
-
-        When False, one must call figure() to create new figures. This means
-        that gcf() and getfigs() can reference figures created in other cells,
-        and the active figure can continue to be edited with pylab/pyplot
-        methods that reference the current active figure. This mode facilitates
-        iterative editing of figures, and behaves most consistently with
-        other matplotlib backends, but figure barriers between cells must
-        be explicit.
-        """).tag(config=True)
-
-    shell = Instance('IPython.core.interactiveshell.InteractiveShellABC',
-                     allow_none=True)