- Create Economist SubmissionTracking package correctly: * mainArticle = full blog post content * coverLetter = 216-word SIR— letter * Links to blog post via blogPostId - Archive 'Letter to The Economist' from blog posts (it's the cover letter) - Fix date display on article cards (use published_at) - Target publication already displaying via blue badge Database changes: - Make blogPostId optional in SubmissionTracking model - Economist package ID: 68fa85ae49d4900e7f2ecd83 - Le Monde package ID: 68fa2abd2e6acd5691932150 Next: Enhanced modal with tabs, validation, export 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
54 lines
1.3 KiB
Python
54 lines
1.3 KiB
Python
"""Benchmark the cu2qu algorithm performance."""
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from .cu2qu import *
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import random
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import timeit
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MAX_ERR = 0.05
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def generate_curve():
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return [
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tuple(float(random.randint(0, 2048)) for coord in range(2))
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for point in range(4)
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]
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def setup_curve_to_quadratic():
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return generate_curve(), MAX_ERR
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def setup_curves_to_quadratic():
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num_curves = 3
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return ([generate_curve() for curve in range(num_curves)], [MAX_ERR] * num_curves)
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def run_benchmark(module, function, setup_suffix="", repeat=5, number=1000):
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setup_func = "setup_" + function
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if setup_suffix:
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print("%s with %s:" % (function, setup_suffix), end="")
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setup_func += "_" + setup_suffix
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else:
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print("%s:" % function, end="")
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def wrapper(function, setup_func):
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function = globals()[function]
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setup_func = globals()[setup_func]
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def wrapped():
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return function(*setup_func())
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return wrapped
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results = timeit.repeat(wrapper(function, setup_func), repeat=repeat, number=number)
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print("\t%5.1fus" % (min(results) * 1000000.0 / number))
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def main():
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run_benchmark("cu2qu", "curve_to_quadratic")
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run_benchmark("cu2qu", "curves_to_quadratic")
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if __name__ == "__main__":
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random.seed(1)
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main()
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