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rule generate_data: | ||
output: | ||
directory('src/data/test_data') | ||
cache: | ||
True | ||
script: | ||
'src/scripts/test_data.py' |
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# Enable rule caching on Zenodo? | ||
cache_on_zenodo: true | ||
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# 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 | ||
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# Externally-hosted datasets, e.g. on Zenodo | ||
datasets: | ||
# 10.5281/zenodo.6468327: | ||
# contents: | ||
# TOI640b.json: src/data/TOI640b.json | ||
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# Custom file dependencies | ||
penwidth: '2' | ||
shape: box | ||
width: '1' | ||
render: false | ||
datasets: null | ||
dependencies: | ||
# src/scripts/my_script.py: | ||
# - src/data/dataset_for_my_script.dat | ||
# src/tex/ms.tex: | ||
# - src/tex/stylesheet.tex | ||
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# Name of the `.tex` manuscript and corresponding `.pdf` article | ||
src/scripts/test_figure.py: src/data/test_data | ||
ms_name: ms | ||
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# Optimize DAG by removing unnecessary jobs upstream of cache hits? | ||
optimize_caching: false | ||
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# 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 | ||
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# 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 | ||
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# Allow cacheable rules to run on GitHub Actions? | ||
run_cache_rules_on_ci: false | ||
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# Mapping of script file extensions to instructions for executing them | ||
scripts: | ||
py: python {script} | ||
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# 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 | ||
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# Enable SyncTeX? | ||
synctex: True | ||
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# Command-line options to be passed to tectonic when building the manuscript | ||
xpos: 0.5 | ||
ypos: 0.5 | ||
synctex: true | ||
tectonic_args: [] | ||
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# 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 | ||
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# Enable verbose output? | ||
verbose: false | ||
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# Version of `showyourwork` used to create this workflow | ||
version: 0.4.4.dev4+gacd9a28 | ||
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import numpy as np | ||
import paths | ||
import os | ||
if os.getenv('CI', 'false') == 'true' or os.getenv('SYW_NO_RUN', 'false') == 'true': | ||
raise Exception('Output should have been downloaded from Zenodo.') | ||
np.random.seed(0) | ||
(paths.data / 'test_data').mkdir(exist_ok=True) | ||
for n in range(50): | ||
np.random.seed(n) | ||
data = np.random.randn(100) | ||
np.savez(paths.data / 'test_data' / f'test_data{n:02d}.npz', data=data) |
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import matplotlib.pyplot as plt | ||
import numpy as np | ||
import paths | ||
np.random.seed(0) | ||
data = np.array([np.load(paths.data / 'test_data' / f'test_data{n:02d}.npz')['data'] for n in range(50)]) | ||
fig = plt.figure(figsize=(7, 6)) | ||
plt.plot(data) | ||
fig.savefig(paths.figures / 'test_figure.pdf', bbox_inches='tight', dpi=300) |
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