Ignore cell language when exporting to hydrogen format #179

Hydrogen allows cell magics just like in the Jupyter Notebook. There's no need to comment out these cells.

jupytext/cell_to_text.py

@@ -330,6 +330,7 @@ def cell_to_text(self):
 class HydrogenCellExporter(DoublePercentCellExporter):  # pylint: disable=W0223
     """A class that can represent a notebook cell as a Hydrogen script (#59)"""
     default_comment_magics = False
+    parse_cell_language = False
 
 
 class SphinxGalleryCellExporter(BaseCellExporter):  # pylint: disable=W0223

tests/notebooks/hydrogen/hydrogen_latex_html_R_magics.py

@@ -0,0 +1,26 @@
+# %%
+1 + 1
+
+# %%
+import pandas as pd
+pd.Series({'A':5, 'B':2}).plot()
+
+# %%
+%matplotlib inline
+pd.Series({'A':5, 'B':2}).plot(figsize=(3,2))
+
+# %%
+%%html
+<p><a href="https://github.com/mwouts/jupytext", style="color: rgb(0,0,255)">Jupytext</a> on GitHub</p>
+
+# %%
+%load_ext rpy2.ipython
+
+# %%
+%%R -w 400 -h 200
+library(ggplot2)
+ggplot(data=data.frame(x=c('A', 'B'), y=c(5, 2)), aes(x,weight=y)) + geom_bar()
+
+# %%
+%%latex
+$\frac{\pi}{2}$

tests/notebooks/mirror/ipynb_to_hydrogen/Notebook with function and cell metadata 164.py

@@ -0,0 +1,29 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %%
+1 + 1
+
+
+# %% [markdown]
+# A markdown cell
+# And below, the cell for function f has non trivial cell metadata. And the next cell as well.
+
+# %% {"attributes": {"classes": [], "id": "", "n": "10"}}
+def f(x):
+    return x
+
+
+# %% {"attributes": {"classes": [], "id": "", "n": "10"}}
+f(5)
+
+# %% [markdown]
+# More text
+
+# %%
+2 + 2

tests/notebooks/mirror/ipynb_to_hydrogen/Notebook with many hash signs.py

@@ -0,0 +1,29 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %% [markdown]
+# ##################################################################
+# This is a notebook that contains many hash signs.
+# Hopefully its python representation is not recognized as a Sphinx Gallery script...
+# ##################################################################
+
+# %%
+some = 1
+code = 2
+some+code
+
+##################################################################
+# A comment
+##################################################################
+# Another comment
+
+# %% [markdown]
+# ##################################################################
+# This is a notebook that contains many hash signs.
+# Hopefully its python representation is not recognized as a Sphinx Gallery script...
+# ##################################################################

tests/notebooks/mirror/ipynb_to_hydrogen/Notebook_with_R_magic.py

@@ -0,0 +1,30 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 2
+#     language: python
+#     name: python2
+# ---
+
+# %% [markdown]
+# # A notebook with R cells
+#
+# This notebook shows the use of R cells to generate plots
+
+# %%
+%load_ext rpy2.ipython
+
+# %%
+%%R
+suppressMessages(require(tidyverse))
+
+# %%
+%%R
+ggplot(iris, aes(x = Sepal.Length, y = Petal.Length, color=Species)) + geom_point()
+
+# %% [markdown]
+# The default plot dimensions are not good for us, so we use the -w and -h parameters in %%R magic to set the plot size
+
+# %%
+%%R -w 400 -h 240
+ggplot(iris, aes(x = Sepal.Length, y = Petal.Length, color=Species)) + geom_point()

tests/notebooks/mirror/ipynb_to_hydrogen/convert_to_py_then_test_with_update83.py

@@ -0,0 +1,17 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %%
+%%time
+
+print('asdf')
+
+# %% [markdown]
+# Thanks for jupytext!
+
+# %%

tests/notebooks/mirror/ipynb_to_hydrogen/frozen_cell.py

@@ -0,0 +1,15 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %%
+# This is an unfrozen cell. Works as usual.
+print("I'm a regular cell so I run and print!")
+
+# %% {"deletable": false, "editable": false, "run_control": {"frozen": true}}
+# # This is an frozen cell
+# print("I'm frozen so Im not executed :(")

tests/notebooks/mirror/ipynb_to_hydrogen/jupyter.py

@@ -0,0 +1,29 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %% [markdown]
+# # Jupyter notebook
+#
+# This notebook is a simple jupyter notebook. It only has markdown and code cells. And it does not contain consecutive markdown cells. We start with an addition:
+
+# %%
+a = 1
+b = 2
+a + b
+
+# %% [markdown]
+# Now we return a few tuples
+
+# %%
+a, b
+
+# %%
+a, b, a+b
+
+# %% [markdown]
+# And this is already the end of the notebook

tests/notebooks/mirror/ipynb_to_hydrogen/jupyter_again.py

@@ -0,0 +1,25 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %%
+c = '''
+title: "Quick test"
+output:
+  ioslides_presentation:
+    widescreen: true
+    smaller: true
+editor_options:
+     chunk_output_type console
+'''
+
+# %%
+import yaml
+print(yaml.dump(yaml.load(c)))
+
+# %%
+?next

tests/notebooks/mirror/ipynb_to_hydrogen/jupyter_with_raw_cell_in_body.py

@@ -0,0 +1,16 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %%
+1+2+3
+
+# %% [raw]
+# This is a raw cell
+
+# %% [markdown]
+# This is a markdown cell

tests/notebooks/mirror/ipynb_to_hydrogen/jupyter_with_raw_cell_on_top.py

@@ -0,0 +1,19 @@
+# ---
+# title: "Quick test"
+# output:
+#   ioslides_presentation:
+#     widescreen: true
+#     smaller: true
+# editor_options:
+#      chunk_output_type console
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %%
+1+2+3
+
+# %%

tests/notebooks/mirror/ipynb_to_hydrogen/notebook_with_complex_metadata.py

@@ -0,0 +1,9 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %%

tests/notebooks/mirror/ipynb_to_hydrogen/nteract_with_parameter.py

@@ -0,0 +1,24 @@
+# ---
+# jupyter:
+#   kernel_info:
+#     name: python3
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %% {"outputHidden": false, "inputHidden": false, "tags": ["parameters"]}
+param = 4
+
+# %% {"outputHidden": false, "inputHidden": false}
+import pandas as pd
+
+# %% {"outputHidden": false, "inputHidden": false}
+df = pd.DataFrame({'A': [1, 2], 'B': [3 + param, 4]},
+                  index=pd.Index(['x0', 'x1'], name='x'))
+df
+
+# %% {"outputHidden": false, "inputHidden": false}
+%matplotlib inline
+df.plot(kind='bar')

tests/notebooks/mirror/ipynb_to_hydrogen/sample_rise_notebook_66.py

@@ -0,0 +1,16 @@
+# ---
+# jupyter:
+#   kernelspec:
+#     display_name: Python 3
+#     language: python
+#     name: python3
+# ---
+
+# %% [markdown] {"slideshow": {"slide_type": "slide"}}
+# A markdown cell
+
+# %% {"slideshow": {"slide_type": ""}}
+1+1
+
+# %% [markdown] {"cell_style": "center", "slideshow": {"slide_type": "fragment"}}
+# Markdown cell two

tests/notebooks/mirror/script_to_ipynb/hydrogen_latex_html_R_magics.ipynb

@@ -0,0 +1,82 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "1 + 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "pd.Series({'A':5, 'B':2}).plot()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%matplotlib inline\n",
+    "pd.Series({'A':5, 'B':2}).plot(figsize=(3,2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%html\n",
+    "<p><a href=\"https://github.com/mwouts/jupytext\", style=\"color: rgb(0,0,255)\">Jupytext</a> on GitHub</p>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%load_ext rpy2.ipython"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%R -w 400 -h 200\n",
+    "library(ggplot2)\n",
+    "ggplot(data=data.frame(x=c('A', 'B'), y=c(5, 2)), aes(x,weight=y)) + geom_bar()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%latex\n",
+    "$\\frac{\\pi}{2}$"
+   ]
+  }
+ ],
+ "metadata": {
+  "jupytext": {
+   "cell_metadata_filter": "-all",
+   "main_language": "python",
+   "notebook_metadata_filter": "-all"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}