feat(poly): Added poly data generation
#9
Merged
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
pasabanov
force-pushed
the
poly
branch
3 times, most recently
from
827df3c to
885cf31
Compare
1. Implemented `poly/generate.py` script to generate test data for polynomial interpolation. `mp.dps = 50` was chosen as the smallest multiple of 10 that gives the most accurate results after rounding to `precision = 17`. 2. Created `poly/poly.toml` as the output of the script. 3. Updated `verify_data.py` to verify the generated data against the saved data. 4. Removed old, unused `poly/lagrange.toml`, `poly/imp_lagrange.toml`, and `poly/newton.toml` files.
This was referenced Mar 26, 2025
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Types of changes
Related: #1
Description
poly/generate.pyscript to generate test data for polynomial interpolation.mp.dps = 50was chosen as smallest multiple-of-ten that gives most accurate results after rounding toprecision = 17.poly/poly.tomlas the output of the script.verify_data.pyto verify the generated data against the saved data.poly/imp_lagrange.toml,poly/lagrange.toml, andpoly/newton.tomlfiles.