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MQT Predictor Version Upgrade #130

Merged
merged 193 commits into from
Oct 7, 2023
Merged

MQT Predictor Version Upgrade #130

merged 193 commits into from
Oct 7, 2023

Commits on Aug 4, 2023

  1. ✨ added ionq aria1 and quantinuum h2 devices (introduced in mqt bench… 

    … v1.0.0)
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  2. ✨ added ionq aria1 and quantinuum h2 devices (introduced in mqt bench… 

    … v1.0.0)
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    nquetschlich committed Aug 4, 2023
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  3. 🎨 use native gate set and cmap getter functions from MQT Bench

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Commits on Aug 7, 2023

  1. 🐛fixed typo

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  2. 🎨removed unnecessary/unused information

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    nquetschlich committed Aug 7, 2023
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  3. 🙈added file types to gitignore

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Commits on Aug 10, 2023

  1. 🎨added debugging information

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Commits on Aug 11, 2023

  1. ✨adjusted code to new combined compilation scheme (and also added map… 

    …ping action pass)
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  2. 🎨minor adjustments

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    nquetschlich committed Aug 11, 2023
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  3. ✅ fixed test

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    nquetschlich committed Aug 11, 2023
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Commits on Aug 16, 2023

  1. 🎨 adjusted evaluation to new approach

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  2. 🎨 adjusted evaluation to new approach

    @nquetschlich
    nquetschlich committed Aug 16, 2023
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  3. 🎨 adjusted ml/rl structure and split

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    nquetschlich committed Aug 16, 2023
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  4. 🎨 adjusted ml/rl structure and split

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    nquetschlich committed Aug 16, 2023
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  5. 🎨 adjusted ml training data generation logic

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    nquetschlich committed Aug 16, 2023
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  6. 🎨 improved error handling in RL environment

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  7. 🚚 adjusted method name

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    nquetschlich committed Aug 16, 2023
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  8. 🚚 removed unnecessary platform actions

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  9. ✅ added further tests

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    nquetschlich committed Aug 16, 2023
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  10. 🎨 added qcompile to be top level

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  11. 🎨 adjusted evaluation script

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    nquetschlich committed Aug 16, 2023
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  12. 🚨

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  13. 🚨

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  14. ✅ improved tests

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Commits on Aug 17, 2023

  1. 🎨 adjusted eval script to new setup

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  2. 🎨 adjusted qcompile usage

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    nquetschlich committed Aug 17, 2023
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  3. 🎨 added a method to return the prediction probabilities for all classes

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  4. 🎨 added print statement

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  5. 🎨 adjusted Result class to new evaluation setup

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Commits on Aug 18, 2023

  1. 🎨 added figure of merit parameter for ML model

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    nquetschlich committed Aug 18, 2023
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  2. 🎨 minor improvements

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    nquetschlich committed Aug 18, 2023
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  3. 🎨 adjust overall evaluation

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    nquetschlich committed Aug 18, 2023
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  4. 🚚 removed old files

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    nquetschlich committed Aug 18, 2023
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Commits on Aug 20, 2023

  1. bug

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  2. 🐛 fixed bug in choosing the best score

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    nquetschlich committed Aug 20, 2023
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Commits on Aug 23, 2023

  1. 🎨 improved evaluation

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  2. 🎨 removed iterations of qcompile

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  3. 🎨 prepared to integrate mqt and bqskit compilation passes

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    nquetschlich committed Aug 23, 2023
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  4. 🎨 improved eval

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    nquetschlich committed Aug 23, 2023
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  5. 🎨 improved eval

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    nquetschlich committed Aug 23, 2023
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Commits on Aug 25, 2023

  1. 🎨 improved eval

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  2. ✨ added feature to track mqt compilation times

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  3. 🚨

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Commits on Aug 28, 2023

  1. 🎨 improved the evaluation and generation to be way faster

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    nquetschlich committed Aug 28, 2023
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  2. 🎨 improved the evaluation and generation to be way faster

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    nquetschlich committed Aug 28, 2023
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  3. 🎨 improved the evaluation and generation to be way faster

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    nquetschlich committed Aug 28, 2023
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  4. 🎨 improved the separation of device prediction and actual compilation

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  5. 🚚 moved eval script

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  6. 🎨 improve evalutions

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Commits on Aug 29, 2023

  1. 🎨 improve evalution

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Commits on Aug 31, 2023

  1. ✨ added function if compiled circuit is not created during training d… 

    …ata creation
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  2. ✨ added function to evaluate GHZ circuits

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  3. 🚨 removed print statement

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    nquetschlich committed Aug 31, 2023
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Commits on Sep 1, 2023

  1. ✅ adjusted tests

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  2. ✅ adjusted tests

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    nquetschlich committed Sep 1, 2023
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  3. 🎨 improved eval script

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    nquetschlich committed Sep 1, 2023
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  4. 🎨 adjusted default timeout

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    nquetschlich committed Sep 1, 2023
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  5. 🚨 removed old data

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  6. 🎨 adjusted training data compilation

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  7. 🎨 adjusted evaluation

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Commits on Sep 5, 2023

  1. 🎨 adjusted evaluation

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  2. 🎨 adjusted evaluation

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  3. 🐛 adjusted debug print

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  4. 🎨 added preliminary results

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Commits on Sep 10, 2023

  1. ✨ evaluation and result update

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  2. ✨ added qiskit o3 opt pass

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  3. 🎨 improved eval

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Commits on Sep 11, 2023

  1. 🎨 improved eval

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  2. 🎨 improved eval

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Commits on Sep 12, 2023

  1. ⬆️ updated checkout action

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  2. 🎨 removed old commented artefacts

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  3. 🎨 adjusted type checking stuff

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    nquetschlich committed Sep 12, 2023
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  4. 🎨 adjusted type

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  5. Merge branch 'main' into implement_fine_grained

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  6. 🎨 pre-commit fixes

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  7. 🎨 update ML plots

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  8. Merge remote-tracking branch 'origin/implement_fine_grained' into imp… 

    …lement_fine_grained
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  9. 🎨 adjusted plots

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  10. 🚨 removed deprecated runtime comparison file

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  11. 💡 updated readme

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  12. 🔥 removed deprecated snippets

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  13. added training data

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  14. 🎨 minor adjustments

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Commits on Sep 13, 2023

  1. added necessary files

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  2. 🎨 re-added gitkeep

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  3. 🎨 adjusted the test structure to make sure, that all tests pass even … 

    …though the newly trained models are not available yet.
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  4. ✅ only train RL model for one device due to space limitation

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  5. ✅ adjust test case to match CI test infrastructure

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  6. ✅ removed redundant test

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  7. ✅ skip test in CI

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  8. 💡 adjusted documentation

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  9. ✅ adjusted test for CI

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  10. ✅ adjusted test

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  11. ✅ adjusted test

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  12. ✅ removed deprecated loc

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Commits on Sep 26, 2023

  1. 🎨 added new training circuits

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  2. 🎨 adjusted eval

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  3. 🔥 removed deprecated file

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  4. 🎨 added result plots

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  5. 🙈 added ipynb checkpoints

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  6. 🎨 adjusted zip file

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  7. 🎨 adjusted training data

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  8. 🎨 added gitkeep

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  9. 🎨 improved eval

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Commits on Sep 27, 2023

  1. 🔥 removed non-necessary files

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  2. 🎨 adjusted eval

    @nquetschlich
    nquetschlich committed Sep 27, 2023
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  3. 🔥 removed old file

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Commits on Oct 4, 2023

  1. 🎨 updated screenshots for readme

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  2. added ghz training data

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  3. 💡adjusted folder path

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  4. 💡adjusted pic size

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  5. 🚚 moved evaluation files

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  6. 🎨 added sample notebook

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  7. 🎨 added sample notebook

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  8. 🎨 adjusted precommit config

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Commits on Oct 5, 2023

  1. Update README.md 

    Co-authored-by: Lukas Burgholzer <[email protected]>
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  2. Update README.md 

    Co-authored-by: Lukas Burgholzer <[email protected]>
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  3. applied readme suggestions 

    Co-authored-by: Lukas Burgholzer <[email protected]>
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  4. Update src/mqt/predictor/Result.py 

    Co-authored-by: Lukas Burgholzer <[email protected]>
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  5. 💡 renamed to MQTPredictor to mqt-predictor

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  6. 🎨 improved the Result class

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  7. 🎨 adjusted variable and figure_of_merit naming

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  8. 🎨 implemented PR feedback

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  9. 🎨 simplified rebase handling

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  10. 🎨 improved logging and removed redundant code

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  11. 🎨 improved evaluation and Result according to PR feedback

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  12. 💡 added documentation

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  13. 🎨 improved result generation

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  14. 🎨 adjusted naming

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  15. ⚰ removed method not used anymore

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  16. 🎨 removed print statement

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  17. 🎨 refactored and simplified code

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  18. 🎨 refactored code

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  19. 🎨 refactored code

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  20. ♻️ added State class

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  21. ⚰ removed deprecated code

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  22. 🎨 simplified interfaces where possible and use Qiskit.QuantumCircuit … 

    …rather than str
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  23. 🎨 adjusted return types, error handling and test of rl.qcompile

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  24. ✅ adjusted test to run faster

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  25. ✅ adjusted test to run faster

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Commits on Oct 6, 2023

  1. 🎨 improved the handling of simple calibration files

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  2. 🎨 improved evaluation test and fixed small bug

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  3. 🎨 improved evaluation test

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  4. 💡 improved docstring

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  5. ✅ refactored const variables to rl helper file

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  6. ✅ refactored tests

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  7. ✅ removed unnecessary isinstance checks

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  8. 🎨 created helper function to get the path to trained models

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  9. 🎨 pre-commit fixes

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  10. 🐛 bugfixed naming

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  11. Merge remote-tracking branch 'origin/implement_fine_grained' into imp… 

    …lement_fine_grained
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  12. ⚰ removed deprecated lines of code

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  13. 🎨 changed from str to path parameters

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  14. 💡 adjusted docu

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  15. 🎨 adjusted typing and error handling

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  16. 🎨 adjusted training data generation and test

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  17. 🎨 pre-commit fixes

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  18. 🎨 cleaned the notebook

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  19. Merge remote-tracking branch 'origin/implement_fine_grained' into imp… 

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  20. ✅ improved rl test

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  21. 🎨 pre-commit fixes

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  22. ✅ improved tests

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  23. Merge remote-tracking branch 'origin/implement_fine_grained' into imp… 

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  24. ✅ removed unused method and adjusted tests accordingly

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  25. 🎨 improved logging and typing

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  26. 💡 moved comment to correct position

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  27. 🎨 added self.layout to init method

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  28. 🎨 adjusted the default value and its handling

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  29. 🎨 adjusted helper functions

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  30. 🎨 improved the RL predictor

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  31. ⚰ removed old debugging statement

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  32. 🎨 adjusted the ML prediction method

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  33. 🎨 adjusted save_training_data method and typing

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  34. 🎨 improved the compiled circuit generation

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  35. 🎨 pre-commit fixes

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  36. 🎨 adjusted the logger level handling

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  37. Merge remote-tracking branch 'origin/implement_fine_grained' into imp… 

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  38. 🎨 adjusted the device index calculation for device name

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  39. 🎨 adjusted the indentation

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  40. 🎨 adjusted to new method signatures

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  41. 🎨 improved signatures

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  42. ⚰ removed old code

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  43. 🎨 adjusted evaluation

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  44. ✅ adjusted timesteps for test

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  45. 🎨 removed unnecessary code

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  46. 💡 adjusted readme

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  47. 🎨 restructured predicor class and usage slightly

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  48. 🎨 adjusted error handling and tests

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  49. 🎨 pre-commit fixes

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  50. 🚨

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  51. Merge remote-tracking branch 'origin/implement_fine_grained' into imp… 

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  52. 🎨 adjusted timeout

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  53. 💡 adjusted readme

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