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Merge pull request #1013 from romainx/pandoc
Remove installation of unnecessary pandoc and tex OS packages
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‎base-notebook/test/test_pandoc.py‎

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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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import logging
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import pytest
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LOGGER = logging.getLogger(__name__)
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def test_pandoc(container):
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"""Pandoc shall be able to convert MD to HTML."""
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c = container.run(
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tty=True, command=["start.sh", "bash", "-c", 'echo "**BOLD**" | pandoc']
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)
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c.wait(timeout=10)
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logs = c.logs(stdout=True).decode("utf-8")
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LOGGER.debug(logs)
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assert "<p><strong>BOLD</strong></p>" in logs
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‎minimal-notebook/Dockerfile‎

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@@ -19,14 +19,14 @@ RUN apt-get update && apt-get install -yq --no-install-recommends \
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libxrender1 \
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lmodern \
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netcat \
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pandoc \
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python-dev \
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texlive-fonts-extra \
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# ---- nbconvert dependencies ----
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texlive-xetex \
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texlive-fonts-recommended \
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texlive-generic-recommended \
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texlive-latex-base \
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texlive-latex-extra \
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texlive-xetex \
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# Optional dependency
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texlive-fonts-extra \
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# ----
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tzdata \
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unzip \
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nano \

‎minimal-notebook/test/data/notebook1.ipynb‎

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{
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"metadata": {
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"name": "notebook1"
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},
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"nbformat": 3,
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"nbformat_minor": 0,
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"worksheets": [
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{
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"cells": [
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{
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"cell_type": "heading",
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"level": 1,
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"metadata": {},
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"source": [
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"A simple SymPy example"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"First we import SymPy and initialize printing:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"from sympy import init_printing\n",
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"from sympy import *\n",
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" init_printing()"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 2
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Create a few symbols:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"x,y,z = symbols('x y z')"
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],
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"language": "python",
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"metadata": {},
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"outputs": [],
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"prompt_number": 4
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"Here is a basic expression:"
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]
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"e = x**2 + 2.0*y + sin(z); e"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"latex": [
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"$$x^{2} + 2.0 y + \\sin{\\left (z \\right )}$$"
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],
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"metadata": {},
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"output_type": "pyout",
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"png": "iVBORw0KGgoAAAANSUhEUgAAAKMAAAAZBAMAAACvE4OgAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nSUVORK5CYII=\n",
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"prompt_number": 6,
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"text": [
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" 2 \n",
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"x + 2.0\u22c5y + sin(z)"
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]
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}
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],
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"prompt_number": 6
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"diff(e, x)"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"latex": [
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"$$2 x$$"
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],
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"metadata": {},
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"output_type": "pyout",
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"png": "iVBORw0KGgoAAAANSUhEUgAAABQAAAAOBAMAAADd6iHDAAAAMFBMVEX///8AAAAAAAAAAAAAAAAA\nAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAv3aB7AAAAD3RSTlMAIpm7MhCriUTv3c12\nVGZoascqAAAAgElEQVQIHWNgVDJ2YICAMAb2H1BmKgPDTChzFgNDvgOEvT8AzgQKrA9gPZPYUwNk\ncXxnCGd4dWA1kMllwFDKUB9wEchUZmAIYNgMZDDwJIDIPyDiEgOjAAPLFwZWBhYFBh6BqzwfGI4y\nSJUXZXH8Zf7A+IBh////v1hzjh5/xwAAW80hUDE8HYkAAAAASUVORK5CYII=\n",
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"prompt_number": 7,
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"text": [
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"2\u22c5x"
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]
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}
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],
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"prompt_number": 7
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [
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"integrate(e, z)"
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],
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"language": "python",
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"metadata": {},
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"outputs": [
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{
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"latex": [
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"$$x^{2} z + 2.0 y z - \\cos{\\left (z \\right )}$$"
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],
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"metadata": {},
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"output_type": "pyout",
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"png": "iVBORw0KGgoAAAANSUhEUgAAALsAAAAZBAMAAACbakK8AAAAMFBMVEX///8AAAAAAAAAAAAAAAAA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\nYII=\n",
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"prompt_number": 8,
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"text": [
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" 2 \n",
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"x \u22c5z + 2.0\u22c5y\u22c5z - cos(z)"
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]
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}
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],
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"prompt_number": 8
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},
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{
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"cell_type": "code",
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"collapsed": false,
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"input": [],
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"language": "python",
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"metadata": {},
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"outputs": []
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}
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],
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"metadata": {}
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}
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]
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}

‎minimal-notebook/test/test_nbconvert.py‎

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# Copyright (c) Jupyter Development Team.
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# Distributed under the terms of the Modified BSD License.
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import logging
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import pytest
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import os
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LOGGER = logging.getLogger(__name__)
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@pytest.mark.parametrize("format", ["html", "pdf"])
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def test_nbconvert(container, format):
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"""Check if nbconvert is able to convert a notebook file"""
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host_data_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "data")
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cont_data_dir = "/home/jovyan/data"
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test_file = "notebook1"
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output_dir = "/tmp"
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LOGGER.info(f"Converting example notebook to {format.upper()} ...")
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command = f"jupyter nbconvert {cont_data_dir}/{test_file}.ipynb --output-dir {output_dir} --to {format}"
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c = container.run(
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volumes={host_data_dir: {"bind": cont_data_dir, "mode": "ro"}},
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tty=True,
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command=["start.sh", "bash", "-c", command],
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)
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rv = c.wait(timeout=30)
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assert rv == 0 or rv["StatusCode"] == 0
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logs = c.logs(stdout=True).decode("utf-8")
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LOGGER.debug(logs)
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assert f"{output_dir}/{test_file}.{format}" in logs
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‎pytest.ini‎

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[pytest]
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addopts = -rA
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log_cli = 1
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log_cli_level = INFO
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log_cli_format = %(asctime)s [%(levelname)8s] %(message)s (%(filename)s:%(lineno)s)

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