⚡ Bolt: [performance improvement] optimize bnglWriter membership test

[akutuva21]

💡 What: Replaced the inner list comprehensions used for membership tests in bionetgen/atomizer/writer/bnglWriter.py with precomputed sets (pMolecule_component_names and rMolecule_component_names).

🎯 Why: The previous implementation evaluated [y.name for y in rMolecule.components] (and vice versa) for every element in the outer list comprehension. This resulted in unnecessary $O(N \times M)$ complexity and redundant memory allocations. Precomputing a set changes the membership check to $O(1)$ and brings the overall complexity down to $O(N + M)$.

📊 Measured Improvement:
Using a custom benchmark simulating molecules with 100 components, the optimization yielded a massive improvement:

• Baseline: 0.8192 seconds (per 1000 runs)
• Optimized: 0.0205 seconds (per 1000 runs)
• Improvement: ~97.5% reduction in execution time
• Speedup: ~40x

Linting (black, flake8) and relevant test suite (tests/test_bng_atomizer.py) passed successfully.

---

PR created automatically by Jules for task 3773139331906415621 started by @akutuva21

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[akutuva21]

💡 What: Replaced the inner list comprehensions used for membership tests in bionetgen/atomizer/writer/bnglWriter.py with precomputed sets (pMolecule_component_names and rMolecule_component_names).

🎯 Why: The previous implementation evaluated [y.name for y in rMolecule.components] (and vice versa) for every element in the outer list comprehension. This resulted in unnecessary $O(N \times M)$ complexity and redundant memory allocations. Precomputing a set changes the membership check to $O(1)$ and brings the overall complexity down to $O(N + M)$.

📊 Measured Improvement:
Using a custom benchmark simulating molecules with 100 components, the optimization yielded a massive improvement:

• Baseline: 0.8192 seconds (per 1000 runs)
• Optimized: 0.0205 seconds (per 1000 runs)
• Improvement: ~97.5% reduction in execution time
• Speedup: ~40x

Linting (black, flake8) and relevant test suite (tests/test_bng_atomizer.py) passed successfully.

---

PR created automatically by Jules for task 3773139331906415621 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

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[akutuva21]

💡 What: Replaced the inner list comprehensions used for membership tests in bionetgen/atomizer/writer/bnglWriter.py with precomputed sets (pMolecule_component_names and rMolecule_component_names).

🎯 Why: The previous implementation evaluated [y.name for y in rMolecule.components] (and vice versa) for every element in the outer list comprehension. This resulted in unnecessary $O(N \times M)$ complexity and redundant memory allocations. Precomputing a set changes the membership check to $O(1)$ and brings the overall complexity down to $O(N + M)$.

📊 Measured Improvement:
Using a custom benchmark simulating molecules with 100 components, the optimization yielded a massive improvement:

• Baseline: 0.8192 seconds (per 1000 runs)
• Optimized: 0.0205 seconds (per 1000 runs)
• Improvement: ~97.5% reduction in execution time
• Speedup: ~40x

Linting (black, flake8) and relevant test suite (tests/test_bng_atomizer.py) passed successfully.

---

PR created automatically by Jules for task 3773139331906415621 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

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[akutuva21]

💡 What: Replaced the inner list comprehensions used for membership tests in bionetgen/atomizer/writer/bnglWriter.py with precomputed sets (pMolecule_component_names and rMolecule_component_names).

🎯 Why: The previous implementation evaluated [y.name for y in rMolecule.components] (and vice versa) for every element in the outer list comprehension. This resulted in unnecessary $O(N \times M)$ complexity and redundant memory allocations. Precomputing a set changes the membership check to $O(1)$ and brings the overall complexity down to $O(N + M)$.

📊 Measured Improvement:
Using a custom benchmark simulating molecules with 100 components, the optimization yielded a massive improvement:

• Baseline: 0.8192 seconds (per 1000 runs)
• Optimized: 0.0205 seconds (per 1000 runs)
• Improvement: ~97.5% reduction in execution time
• Speedup: ~40x

Linting (black, flake8) and relevant test suite (tests/test_bng_atomizer.py) passed successfully.

---

PR created automatically by Jules for task 3773139331906415621 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

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[akutuva21]

💡 What: Replaced the inner list comprehensions used for membership tests in bionetgen/atomizer/writer/bnglWriter.py with precomputed sets (pMolecule_component_names and rMolecule_component_names).

🎯 Why: The previous implementation evaluated [y.name for y in rMolecule.components] (and vice versa) for every element in the outer list comprehension. This resulted in unnecessary $O(N \times M)$ complexity and redundant memory allocations. Precomputing a set changes the membership check to $O(1)$ and brings the overall complexity down to $O(N + M)$.

📊 Measured Improvement:
Using a custom benchmark simulating molecules with 100 components, the optimization yielded a massive improvement:

• Baseline: 0.8192 seconds (per 1000 runs)
• Optimized: 0.0205 seconds (per 1000 runs)
• Improvement: ~97.5% reduction in execution time
• Speedup: ~40x

Linting (black, flake8) and relevant test suite (tests/test_bng_atomizer.py) passed successfully.

---

PR created automatically by Jules for task 3773139331906415621 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

💡 What: Replaced the inner list comprehensions used for membership tests in bionetgen/atomizer/writer/bnglWriter.py with precomputed sets (pMolecule_component_names and rMolecule_component_names).

🎯 Why: The previous implementation evaluated [y.name for y in rMolecule.components] (and vice versa) for every element in the outer list comprehension. This resulted in unnecessary $O(N \times M)$ complexity and redundant memory allocations. Precomputing a set changes the membership check to $O(1)$ and brings the overall complexity down to $O(N + M)$.

📊 Measured Improvement:
Using a custom benchmark simulating molecules with 100 components, the optimization yielded a massive improvement:

• Baseline: 0.8192 seconds (per 1000 runs)
• Optimized: 0.0205 seconds (per 1000 runs)
• Improvement: ~97.5% reduction in execution time
• Speedup: ~40x

Linting (black, flake8) and relevant test suite (tests/test_bng_atomizer.py) passed successfully.

---

PR created automatically by Jules for task 3773139331906415621 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

💡 What: Replaced the inner list comprehensions used for membership tests in bionetgen/atomizer/writer/bnglWriter.py with precomputed sets (pMolecule_component_names and rMolecule_component_names).

🎯 Why: The previous implementation evaluated [y.name for y in rMolecule.components] (and vice versa) for every element in the outer list comprehension. This resulted in unnecessary $O(N \times M)$ complexity and redundant memory allocations. Precomputing a set changes the membership check to $O(1)$ and brings the overall complexity down to $O(N + M)$.

📊 Measured Improvement:
Using a custom benchmark simulating molecules with 100 components, the optimization yielded a massive improvement:

• Baseline: 0.8192 seconds (per 1000 runs)
• Optimized: 0.0205 seconds (per 1000 runs)
• Improvement: ~97.5% reduction in execution time
• Speedup: ~40x

Linting (black, flake8) and relevant test suite (tests/test_bng_atomizer.py) passed successfully.

---

PR created automatically by Jules for task 3773139331906415621 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

💡 What: Replaced the inner list comprehensions used for membership tests in bionetgen/atomizer/writer/bnglWriter.py with precomputed sets (pMolecule_component_names and rMolecule_component_names).

🎯 Why: The previous implementation evaluated [y.name for y in rMolecule.components] (and vice versa) for every element in the outer list comprehension. This resulted in unnecessary $O(N \times M)$ complexity and redundant memory allocations. Precomputing a set changes the membership check to $O(1)$ and brings the overall complexity down to $O(N + M)$.

📊 Measured Improvement:
Using a custom benchmark simulating molecules with 100 components, the optimization yielded a massive improvement:

• Baseline: 0.8192 seconds (per 1000 runs)
• Optimized: 0.0205 seconds (per 1000 runs)
• Improvement: ~97.5% reduction in execution time
• Speedup: ~40x

Linting (black, flake8) and relevant test suite (tests/test_bng_atomizer.py) passed successfully.

---

PR created automatically by Jules for task 3773139331906415621 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

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