regen nbconvert test file without split png data

and ignore trailing newline in export

IPython/nbconvert/exporters/tests/files/notebook2.ipynb

@@ -1,262 +1,178
 {
  "cells": [
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "# NumPy and Matplotlib examples"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "First import NumPy and Matplotlib:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "\n",
       "Welcome to pylab, a matplotlib-based Python environment [backend: module://IPython.kernel.zmq.pylab.backend_inline].\n",
       "For more information, type 'help(pylab)'.\n"
      ]
     }
    ],
    "source": [
     "%pylab inline"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 2,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "import numpy as np"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Now we show some very basic examples of how they can be used."
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 6,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "a = np.random.uniform(size=(100,100))"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 7,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "(100, 100)"
       ]
      },
      "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "a.shape"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 8,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": [
     "evs = np.linalg.eigvals(a)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 10,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "(100,)"
       ]
      },
      "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
    "source": [
     "evs.shape"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "Here is a cell that has both text and PNG output:"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": 14,
    "metadata": {
     "collapsed": false
    },
    "outputs": [
     {
      "data": {
       "text/plain": [
        "(array([95,  4,  0,  0,  0,  0,  0,  0,  0,  1]),\n",
        " array([ -2.93566063,   2.35937011,   7.65440086,  12.9494316 ,\n",
        "        18.24446235,  23.53949309,  28.83452384,  34.12955458,\n",
        "        39.42458533,  44.71961607,  50.01464682]),\n",
        " <a list of 10 Patch objects>)"
       ]
      },
      "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
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-      ],
+      "image/png": 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1zjvvaMuWLerr6/PM/JK0efNmlZWVpS+M8NLslmUpGo3q0KFDisfjkrw1/7p162Tbtrq6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\n",
       "text/plain": [
        "<matplotlib.figure.Figure at 0x108c8f1d0>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "hist(evs.real)"
    ]
   },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {
     "collapsed": false
    },
    "outputs": [],
    "source": []
   }
  ],
  "metadata": {},
  "nbformat": 4,
  "nbformat_minor": 0
-}
  No newline at end of file
+}

IPython/nbconvert/exporters/tests/test_notebook.py

@@ -1,39 +1,39
 """Tests for notebook.py"""
 
 # Copyright (c) IPython Development Team.
 # Distributed under the terms of the Modified BSD License.
 
 import json
 
 from .base import ExportersTestsBase
 from ..notebook import NotebookExporter
 
 from IPython.nbformat import validate
 from IPython.testing.tools import assert_big_text_equal
 
 class TestNotebookExporter(ExportersTestsBase):
     """Contains test functions for notebook.py"""
 
     exporter_class = NotebookExporter
 
     def test_export(self):
         """
         Does the NotebookExporter return the file unchanged?
         """
         with open(self._get_notebook()) as f:
             file_contents = f.read()
         (output, resources) = self.exporter_class().from_filename(self._get_notebook())
         assert len(output) > 0
-        assert_big_text_equal(output, file_contents)
+        assert_big_text_equal(output.strip(), file_contents.strip())
 
     def test_downgrade_3(self):
         exporter = self.exporter_class(nbformat_version=3)
         (output, resources) = exporter.from_filename(self._get_notebook())
         nb = json.loads(output)
         validate(nb)
 
     def test_downgrade_2(self):
         exporter = self.exporter_class(nbformat_version=2)
         (output, resources) = exporter.from_filename(self._get_notebook())
         nb = json.loads(output)
         self.assertEqual(nb['nbformat'], 2)