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4 changes: 3 additions & 1 deletion README.md
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</a>
</p>

An open source scientific article created using the [showyourwork](https://github.com/showyourwork/showyourwork) workflow.
*This is an automatically generated test for [showyourwork](https://github.com/showyourwork/showyourwork) generated from the file [test_zenodo.py](https://github.com/showyourwork/showyourwork/blob/main/tests/integration/test_zenodo.py).*

Test a repo that downloads data from Zenodo.
122 changes: 42 additions & 80 deletions showyourwork.yml
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# Enable rule caching on Zenodo?
cache_on_zenodo: true

# Workflow graph (DAG) generation
dag:
# Generate `dag.pdf` on each build?
render: false
# Graphviz layout engine
engine: sfdp
# Group files by type into plates?
group_by_type: false
# Custom graph attributes
graph_attr:
ranksep: "1"
nodesep: "0.65"
# Custom node attributes
nodesep: '0.65'
ranksep: '1'
group_by_type: false
node_attr:
shape: "box"
penwidth: "2"
width: "1"
# Files and glob patterns to ignore
# ignore_files:
# - src/tex/orcid-ID.png


# Externally-hosted datasets, e.g. on Zenodo
penwidth: '2'
shape: box
width: '1'
render: false
datasets:
# 10.5281/zenodo.6468327:
# contents:
# TOI640b.json: src/data/TOI640b.json

# Custom file dependencies
10.5281/zenodo.6515864:
contents:
README.md: null
TOI640b.json: src/data/TOI640/planet.json
images.tar.gz:
README.md: null
S06:
image.json: src/data/TOI640/S06.json
S07:
image.json: src/data/TOI640/S07.json
lightcurves.zip:
lightcurves:
README.md: null
S06:
lc.txt: src/data/TOI640/S06.txt
S07:
lc.txt: src/data/TOI640/S07.txt
destination: src/data/TOI640
dependencies:
# src/scripts/my_script.py:
# - src/data/dataset_for_my_script.dat
# src/tex/ms.tex:
# - src/tex/stylesheet.tex

# Name of the `.tex` manuscript and corresponding `.pdf` article
src/scripts/test_figure.py:
- src/data/TOI640/planet.json
- src/data/TOI640/S06.txt
- src/data/TOI640/S06.json
- src/data/TOI640/S07.txt
- src/data/TOI640/S07.json
ms_name: ms

# Optimize DAG by removing unnecessary jobs upstream of cache hits?
optimize_caching: false

# Overleaf sync settings
overleaf:
# Overleaf project ID (blank = disabled)
id:
# Perform sync on GitHub Actions?
gh_actions_sync: true
# List of files to push to Overleaf
push:
- src/tex/figures
- src/tex/output
# List of files to pull from Overleaf
id: null
pull:
- src/tex/ms.tex
- src/tex/bib.bib

# Always require all input files to be present on disk for workflow to pass?
- src/tex/ms.tex
- src/tex/bib.bib
push:
- src/tex/figures
- src/tex/output
require_inputs: true

# Allow cacheable rules to run on GitHub Actions?
run_cache_rules_on_ci: false

# Mapping of script file extensions to instructions for executing them
scripts:
py: python {script}

# Display of the `showyourwork` stamp on first page
stamp:
# Show the stamp?
enabled: true
# Stamp angle in degrees
angle: -20.0
# Stamp size in inches
enabled: true
size: 0.75
# Horizontal position in inches from right edge of paper
xpos: 0.50
# Vertical position in inches from top edge of paper
ypos: 0.50
# Display of the repo URL in the stamp
url:
# Show the URL?
enabled: true
# Maximum URL length to display
maxlen: 40

# Enable SyncTeX?
synctex: True

# Command-line options to be passed to tectonic when building the manuscript
xpos: 0.5
ypos: 0.5
synctex: true
tectonic_args: []

# Preprocessing script for arXiv tarball
# (such as to switch `minted` from `finalizecache` to `frozencache`)
# The script will be passed a directory containing the manuscript source
# as input, and should modify the contents of that directory in-place.
# preprocess_arxiv_script: my_preprocess_script.sh

# Enable verbose output?
verbose: false

# Version of `showyourwork` used to create this workflow
version: 0.4.4.dev18+g8a143dc

64 changes: 64 additions & 0 deletions src/scripts/test_figure.py
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import matplotlib.pyplot as plt
import numpy as np
import json
import paths

# Set up the figure
fig = plt.figure(figsize=(7, 6))
ax = fig.subplot_mosaic(
'''
AB
CC
'''
)
fig.subplots_adjust(wspace=0.1, hspace=0.15)

# Images
for n, dataset in zip(["A", "B"], ["S06", "S07"]):
with open(paths.data / "TOI640" / f"{dataset}.json", "r") as f:
image_data = json.load(f)
aperture = np.array(image_data["aperture"])
image = np.array(image_data["image"]) / 1e3
im = ax[n].imshow(image, origin="lower", vmin=0, vmax=4)
ax[n].set_xticks([])
ax[n].set_yticks([])
ax[n].set_title(dataset)
ax[n].set_aspect("auto")
fig.colorbar(im, ax=[ax["A"], ax["B"]], shrink=1, label="flux [ke$^-$/s]")

# Dummy colorbar to get the spacing right
cbar = fig.colorbar(im, ax=ax["C"], shrink=1)
cbar.ax.set_visible(False)

# Load planet data
with open(paths.data / "TOI640" / "planet.json", "r") as f:
planet_data = json.load(f)
phase = planet_data["phase"]
period = planet_data["period"]

# Photometry
for dataset in ["S06", "S07"]:

# Load the data
time, flux, *_ = np.loadtxt(paths.data / "TOI640" / f"{dataset}.txt").T

# Divide out the rolling 1-day median baseline
dt = np.median(np.diff(time))
w = int(1 / dt)
baseline = [np.median(flux[a : a + w]) for a in range(len(flux))]
flux /= baseline

# Fold the data
time = (time % period) / period + phase

# Plot it
ax["C"].plot(time, flux, ".", label=dataset)

# Format the figure
ax["C"].legend()
ax["C"].set_xlim(-0.1, 0.1)
ax["C"].set_xlabel("orbital phase")
ax["C"].set_ylabel("normalized flux")
fig.savefig(paths.figures / "test_figure.pdf", bbox_inches="tight", dpi=300)

10 changes: 10 additions & 0 deletions src/tex/ms.tex
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\bibliography{bib}

\begin{figure}[ht!]
\script{test_figure.py}
\begin{centering}
\includegraphics[width=\linewidth]{figures/test_figure.pdf}
\caption{A test figure.}
\label{fig:test_figure}
\end{centering}
\end{figure}

\end{document}

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