diff --git a/README.md b/README.md index 5b3cc39..7e45d05 100644 --- a/README.md +++ b/README.md @@ -3,7 +3,7 @@ bibliography: REFERENCES.bib ... # Carousel -*A simple Stable Matching Solver.* +*A simple Stable Matching solver.* `carousel` is a solver for the [Envy-free](https://en.wikipedia.org/wiki/Envy-free_matching) @@ -14,30 +14,29 @@ bibliography: REFERENCES.bib ### Gale-Shapley Deferred Acceptance -The most basic version(s) of the stable matching problem was outlined and solved in [@gale&shapley1962] and won Shapley the -[2012 Nobel Prize in Economics](https://www.nobelprize.org/prizes/economic-sciences/2012/popular-information/). +- Gives a solution to the basic problem. -The basic problem being solved is as follows: +### GS + Rotation Enumeration of Solutions -#### Stable Marriage Problem -The "Stable Marriage problem" TODO +- Can implement post-selection measures/constraints/criteria. -TODO +### Integer Programming (Huang++) -#### College Admissions Problem -Solving the stable marriage problem also provides a solution to the "College Admissions Problem", -with just a little more work. +### Polytope Solution Sampling (Large Problems) -TODO +### Brute-Force Combinatoric Search +A benchmark/testbed implementation. Beware. + +### More? +Contribute! ## Data - Input/Output All [input table formats supported by `polars`](https://docs.pola.rs/user-guide/io/) are supported by `carousel` (`csv`, `excel`, `json` to name a few), which accepts a few inter-related tabular schemes for the input/output data. ### Input -Input describes the preferences/rankings of the "applicants" of "reviewers" to which they will be matched (possibly many-to-one, as in the "College Admission Problem"), -as well as the preferences/rankings for the reviwers of applicants. -Input should be in one of three forms: +Input describes the preferences/rankings of the "applicants" of "reviewers" to which they will be matched (possibly many-to-one, as in the "College Admission Problem"), as well as the preferences/rankings for the reviwers of applicants. +Input should be in one of two forms: #### Preferences Preferences enumerate by-name some preferences in descending order, @@ -61,10 +60,13 @@ e.g. Alice, Bob and Charlie rank the fruit apples, bananas and cherries as: | banana | 3 | 1 | 2 | | cherry | 2 | 3 | 1 | +### Intermediate + #### Ranking Matrix In order to perform a matching, `carousel` either needs a pair of preferences (e.g. a set of doctor's preferences for residencies, and a set of residencies' preferences for doctors), -a pair of corresponding rankings, *or* a matrix encoding both rankings at once: +a pair of corresponding rankings. A ranking matrix is a concise way to express +a pair of rankings - used to display rankings: | names | Alice | Bob | Charlie | |---------|------------|---------|-----------| @@ -72,6 +74,25 @@ a pair of corresponding rankings, *or* a matrix encoding both rankings at once: | CaseMed | (3, 2) | (1, 1) | (2, 3) | | Emory | (2, 1) | (3, 3) | (1, 2) | + +#### Priorities +Internally, preferences/rankings are often serialized to rows as a priority listing of the form: + +| App. | Rank | Rev | +|-------|---|--------| +| Alice | 1 | apple | +| Alice | 2 | cherry | +| Alice | 3 | banana | +| Bob | 1 | banana | +| Bob | 2 | apple | +| Bob | 3 | cherry | +| Charlie | 1 | cherry | +| Charlie | 2 | banana | +| Charlie | 3 | apple | + +(in no specific row order). This is not a supported input format in the frontends, but may be relevant +when interacting with the package programmatically - priorities can be followed as edges in a graph. + ### Output #### Matching @@ -112,6 +133,9 @@ using the [pages.uoregon.edu CGI feature](https://service.uoregon.edu/TDClient/2 Submit your applicant and reviewer preferences in tabular form, or as excel uploads and the server will return a table of matches for you to choose from. +This resource has *very* limited compute, so excessive usage might result in limitations or restricted access. +Try not to ruin a good thing! A moderate number of problems on the scale of those in the Examples section below should be sustainable. + ### Command Line Binary TODO @@ -141,13 +165,13 @@ TODO It's often desirable to enforce additional criteria on solutions that are not well-posed within the core optimization problem. Since the solver itself is stochastic to some extent, these are often most easily implemented -by a post-selection. +by a post-selection on a sampling of solutions. ## Examples Here are some usage examples: -### Departmental TA Assignments +### University of Oregon Physics Department Graduate TA Assignments TODO ### Caltech Housing Rotation diff --git a/REFERENCES.bib b/REFERENCES.bib index 9c14c0e..940ba25 100644 --- a/REFERENCES.bib +++ b/REFERENCES.bib @@ -1,5 +1,3 @@ - - @article{gale&shapley1962, ISSN = {0002989, 19300972}, URL = {https://www.jstor.org/stable/2312726}, @@ -14,3 +12,64 @@ year = {1962}, } +@article{doi:10.1137/0215048, +author = {Irving, Robert W. and Leather, Paul}, +title = {The Complexity of Counting Stable Marriages}, +journal = {SIAM Journal on Computing}, +volume = {15}, +number = {3}, +pages = {655-667}, +year = {1986}, +doi = {10.1137/0215048}, +URL = {https://doi.org/10.1137/0215048}, +eprint = {https://doi.org/10.1137/0215048} +} + +@article{doi:10.1137/0216010, +author = {Gusfield, Dan}, +title = {Three Fast Algorithms for Four Problems in Stable Marriage}, +journal = {SIAM Journal on Computing}, +volume = {16}, +number = {1}, +pages = {111-128}, +year = {1987}, +doi = {10.1137/0216010}, +URL = { https://doi.org/10.1137/0216010}, +eprint = { https://doi.org/10.1137/0216010 } +} + +@article{https://doi.org/10.3982/TE4830, +author = {Huang, Chao}, +title = {Stable matching: An integer programming approach}, +journal = {Theoretical Economics}, +volume = {18}, +number = {1}, +pages = {37-63}, +keywords = {Two-sided matching, stability, integer programming, many-to-one matching, complementarity, total unimodularity, demand type, C61, C78, D47, D63}, +doi = {https://doi.org/10.3982/TE4830}, +url = {https://onlinelibrary.wiley.com/doi/abs/10.3982/TE4830}, +eprint = {https://onlinelibrary.wiley.com/doi/pdf/10.3982/TE4830} +} + +@article{DELORME2019426, +title = {Mathematical models for stable matching problems with ties and incomplete lists}, +journal = {European Journal of Operational Research}, +volume = {277}, +number = {2}, +pages = {426-441}, +year = {2019}, +issn = {0377-2217}, +doi = {https://doi.org/10.1016/j.ejor.2019.03.017}, +url = {https://www.sciencedirect.com/science/article/pii/S0377221719302565}, +author = {Maxence Delorme and Sergio García and Jacek Gondzio and Jörg Kalcsics and David Manlove and William Pettersson}, +} + +@misc{gutin2024findingstablematchingsassignment, + title={Finding all stable matchings with assignment constraints}, + author={Gregory Gutin and Philip R. Neary and Anders Yeo}, + year={2024}, + eprint={2204.03989}, + archivePrefix={arXiv}, + primaryClass={econ.TH}, + url={https://arxiv.org/abs/2204.03989}, +} diff --git a/justfile b/justfile index 8c50109..e7bb1df 100644 --- a/justfile +++ b/justfile @@ -1,14 +1,11 @@ list: just --list -run: - uv run carousel +#run: +# uv run carousel python *arguments: - uv run python -c "import code; from rich import pretty; pretty.install(); code.interact()" {{arguments}} - -check: - uv run pyright src + uv run python -c {{arguments}} test: uv run pytest -vvv --tb=short --log-cli-level=INFO @@ -16,7 +13,16 @@ test: format: uv run ruff format src test -compile: +check: + uv run pyright src + +sync: + uv sync --upgrade + +lock: + uv pip compile pyproject.toml -o requirements.txt --group dev + +build: uv run pyinstaller src/cli.py uv run pyinstaller src/gui.py @@ -29,5 +35,3 @@ wipe: just clean rm -rf .venv -lock: - uv pip compile pyproject.toml -o requirements.txt --group dev diff --git a/requirements.txt b/requirements.txt index 724e6a9..64be2d4 100644 --- a/requirements.txt +++ b/requirements.txt @@ -1,42 +1,137 @@ # This file was autogenerated by uv via the following command: # uv pip compile pyproject.toml -o requirements.txt --group dev +altair==5.5.0 + # via marimo altgraph==0.17.4 # via pyinstaller +annotated-types==0.7.0 + # via pydantic +anyio==4.10.0 + # via + # httpx + # openai + # starlette attrs==25.3.0 - # via hypothesis + # via + # hypothesis + # jsonschema + # referencing +certifi==2025.8.3 + # via + # httpcore + # httpx click==8.1.8 - # via carousel (pyproject.toml) + # via + # carousel (pyproject.toml) + # marimo + # uvicorn +distro==1.9.0 + # via openai +docutils==0.22 + # via marimo +duckdb==1.3.2 + # via marimo +faker==37.6.0 + # via carousel (pyproject.toml:dev) +fastjsonschema==2.21.2 + # via nbformat +h11==0.16.0 + # via + # httpcore + # uvicorn +httpcore==1.0.9 + # via httpx +httpx==0.28.1 + # via openai hypothesis==6.131.5 # via carousel (pyproject.toml:dev) +idna==3.10 + # via + # anyio + # httpx iniconfig==2.1.0 # via pytest +itsdangerous==2.2.0 + # via marimo +jedi==0.19.2 + # via marimo +jinja2==3.1.6 + # via altair +jiter==0.10.0 + # via openai +jsonschema==4.25.1 + # via + # altair + # nbformat +jsonschema-specifications==2025.4.1 + # via jsonschema +jupyter-core==5.8.1 + # via nbformat +loro==1.6.0 + # via marimo +marimo==0.15.2 + # via carousel (pyproject.toml:dev) +markdown==3.9 + # via + # marimo + # pymdown-extensions markdown-it-py==3.0.0 # via rich +markupsafe==3.0.2 + # via jinja2 mdurl==0.1.2 # via markdown-it-py +narwhals==2.3.0 + # via + # altair + # marimo +nbformat==5.10.4 + # via marimo nodeenv==1.9.1 # via pyright numpy==2.2.4 # via carousel (pyproject.toml) +openai==1.106.1 + # via marimo packaging==24.2 # via + # altair + # marimo # pyinstaller # pyinstaller-hooks-contrib # pytest +parso==0.8.5 + # via jedi +platformdirs==4.4.0 + # via jupyter-core pluggy==1.5.0 # via pytest polars==1.27.1 - # via carousel (pyproject.toml) + # via + # carousel (pyproject.toml) + # marimo +psutil==7.0.0 + # via marimo py-cpuinfo==9.0.0 # via pytest-benchmark +pyarrow==21.0.0 + # via polars pyclean==3.1.0 # via carousel (pyproject.toml:dev) +pydantic==2.11.7 + # via openai +pydantic-core==2.33.2 + # via pydantic pygments==2.19.1 - # via rich + # via + # marimo + # rich pyinstaller==6.13.0 # via carousel (pyproject.toml:dev) pyinstaller-hooks-contrib==2025.3 # via pyinstaller +pymdown-extensions==10.16.1 + # via marimo pyright==1.1.399 # via carousel (pyproject.toml:dev) pyside6==6.9.0 @@ -53,10 +148,24 @@ pytest==8.3.5 # pytest-benchmark pytest-benchmark==5.1.0 # via carousel (pyproject.toml:dev) +pyyaml==6.0.2 + # via + # marimo + # pymdown-extensions +referencing==0.36.2 + # via + # jsonschema + # jsonschema-specifications rich==14.0.0 # via carousel (pyproject.toml) +rpds-py==0.27.1 + # via + # jsonschema + # referencing ruff==0.11.6 - # via carousel (pyproject.toml:dev) + # via + # carousel (pyproject.toml:dev) + # marimo setuptools==78.1.0 # via # pyinstaller @@ -66,7 +175,39 @@ shiboken6==6.9.0 # pyside6 # pyside6-addons # pyside6-essentials +sniffio==1.3.1 + # via + # anyio + # openai sortedcontainers==2.4.0 # via hypothesis +sqlglot==27.12.0 + # via marimo +starlette==0.47.3 + # via marimo +tomlkit==0.13.3 + # via marimo +tqdm==4.67.1 + # via openai +traitlets==5.14.3 + # via + # jupyter-core + # nbformat +ty==0.0.1a20 + # via carousel (pyproject.toml:dev) typing-extensions==4.13.2 - # via pyright + # via + # altair + # openai + # pydantic + # pydantic-core + # pyright + # typing-inspection +typing-inspection==0.4.1 + # via pydantic +tzdata==2025.2 + # via faker +uvicorn==0.35.0 + # via marimo +websockets==15.0.1 + # via marimo diff --git a/src/carousel/__init__.py b/src/carousel/__init__.py index c9f37dc..4e2d375 100644 --- a/src/carousel/__init__.py +++ b/src/carousel/__init__.py @@ -1,14 +1,14 @@ import logging, rich from rich.logging import RichHandler -rich.traceback.install() - import itertools as it import numpy as np import polars as pl import polars.selectors as pls +rich.traceback.install() + logging.basicConfig( level=logging.INFO, format="%(message)s", @@ -24,126 +24,7 @@ logging.basicConfig( ) log = logging.getLogger(__name__) - -def rank_to_pref(ranking): - """Converts a ranking to a preference.""" - id_col_name = ranking.select(pls.by_index(0)).to_series().name - preferences = ranking.select( - [ - pl.col(id_col_name).sort_by(c).alias(c) - for c in ranking.columns - if c != id_col_name - ] - ) - return preferences - - -def pref_to_rank(preferences): - """Converts a preference to a ranking.""" - o = preferences.select( - pl.concat_list(preferences.columns).explode().unique().sort().alias("") - ) # .with_row_index(offset=1) - - ranking = pl.concat( - [ - o.join( - preferences.with_row_index(offset=1), - how="full", - left_on="", - right_on=c, - maintain_order="left", - ).select(pl.col("index").alias(c)) - for c in preferences.columns - ], - how="horizontal", - ) - return pl.concat([o, ranking], how="horizontal") - - -"""" -def ranking_matrix(A, B): - T = pl.concat([A, B], how="horizontal") - - TT = T.with_columns(pl.concat_list(A.columns[0], B.columns[0])) - for ab in zip(A.columns[1:], B.columns[1:]): - TT = TT.with_columns(pl.concat_list(*ab)) - TTT = TT.select(pl.col(A.columns)) - - return TTT.insert_column(0, pl.Series("names", B.columns)) -""" - - -def check_valid_pref(preferences): - """A valid set of preferences has all unique entries in each column, TODO""" - repeats = preferences.select( - (~pl.all_horizontal((pl.all().is_unique() | pl.all().is_null()).all())).alias( - "repeats" - ) - ).get_column("repeats")[0] - return not repeats - - -def check_valid_rank(ranking): - """A valid ranking has no ties, TODO""" - ties = ranking.select( - (~pl.all_horizontal((pl.all().is_unique() | pl.all().is_null()).all())).alias( - "ties" - ) - ).get_column("ties")[0] - return not ties - - -def check_valid_match(match, applicants, reviewers): - # TODO - pass - - -def check_valid_assgn(assgn, applicants, reviewers): - # TODO - pass - - -def assgn_to_match(assgn): - # TODO - pass - - -def match_to_assgn(match): - # TODO - pass - - -def get_rank(ranking, ranker, ranked): - idx = ranking.select(pl.arg_where(pl.col("") == ranked)).item() - return ranking[ranker][idx] - - -def check_unstable(match, applicant_ranking, reviewer_ranking): - applicants = applicant_ranking.columns[1:] # assume unique applicants - for a, b in it.permutations(applicants, 2): - A = ( - match.select(c for c in match.iter_columns() if a in c).to_series().name - ) # the reviewer a is matched to - B = ( - match.select(c for c in match.iter_columns() if b in c).to_series().name - ) # the reviewer b is matched to - - b_prefers_A = get_rank(applicant_ranking, b, A) < get_rank( - applicant_ranking, b, B - ) - A_prefers_b = get_rank(reviewer_ranking, A, b) < get_rank( - reviewer_ranking, A, a - ) - if b_prefers_A and A_prefers_b: - return True - # else - return False - - -def check_stable(*args, **kwargs): - return not check_unstable(*args, **kwargs) - - +from .util import * from .brute import * from .def_acc import * diff --git a/src/carousel/brute.py b/src/carousel/brute.py index fcb7d83..d14d8e9 100644 --- a/src/carousel/brute.py +++ b/src/carousel/brute.py @@ -1,3 +1,3 @@ -def brute(applicant_rankings, reviewer_rankings): - """Brute force search for stable matches.""" +def brute_match(applicant_rankings, reviewer_rankings): + """Brute force combinatoric search for stable matches.""" pass diff --git a/src/carousel/def_acc.py b/src/carousel/def_acc.py index 18d42d1..4933bfc 100644 --- a/src/carousel/def_acc.py +++ b/src/carousel/def_acc.py @@ -1,5 +1,126 @@ -def deferred_acceptance(applicant_rankings, reviewer_rankings): - """Find Gale-Shapley deferred-acceptance stable matchings for preferences A, R.""" +from .util import * + + +def preparefor_def_acc(applicant_rankings, reviewer_rankings): + """Sanitize/Format applicant and reviewer rankings for the deferred acceptance solver.""" + pass + # return app_ranks, rev_ranks + + +def matchby_deferred_acceptance(applicant_rankings, reviewer_rankings, revfirst=False): + """Find the Gale-Shapley deferred-acceptance stable matching for rankings A, R. Default to A-first unless `revfirst=true`.""" + + app_prio = rank_to_prio( + applicant_rankings, prioritizer="applicant", priority="reviewer" + ) + rev_prio = rank_to_prio( + reviewer_rankings, prioritizer="reviewer", priority="applicant" + ) + + state = app_prio.select( + [ + pl.col("applicant").unique().alias("applicant"), + ] + ).with_columns([pl.lit(0).alias("next_rank"), pl.lit(True).alias("is_free")]) + + matches = pl.DataFrame( + { + "applicant": pl.Series([]), + "reviewer": pl.Series([]), + "current": pl.Series([], dtype=pl.Int64), + } + ) + + max_iters = len(state) * len(rev_prio.select("applicant").unique()) + + for _ in range(max_iters): + props = ( + state.filter(pl.col("is_free")) + .join(app_prio, on="applicant") + .filter(pl.col("rank") == pl.col("next_rank")) + .select(["applicant", "reviewer"]) + ) + + if len(props) == 0: + break + + props = props.join(rev_prio, on=["reviewer", "applicant"], how="left") + + props = props.join( + matches.select( + ["reviewer", pl.col("applicant").alias("proposer"), pl.col("current")] + ), + on="reviewer", + how="left", + ) + + props = props.with_columns( + [ + ( + pl.col("proposer").is_null() | (pl.col("rank") < pl.col("current")) + ).alias("accepted") + ] + ) + + accepted = proposals.filter(pl.col("accepted")) + rejected = proposals.filter(~pl.col("accepted")) + + displaced = accepted.filter(pl.col("proposer").is_not_null()).select( + pl.col("proposer").alias("applicant") + ) + + matches = matches.join(accepted.select("reviewer"), on="reviewer", how="anti") + + matches = pl.concat( + [ + matches, + accepted.select( + ["reviewer", "applicant", pl.col("rank").alias("current")] + ), + ] + ) + + rejected_apps = rejected.select("applicant") + accepted_apps = accepted.select("applicant") + + state = ( + state.join( + rejected_apps.with_columns(pl.lit(True).alias("was_rejected")), + on="applicant", + how="left", + ) + .join( + accepted_apps.with_columns(pl.lit(True).alias("was_accepted")), + on="applicant", + how="left", + ) + .join( + displaced.with_columns(pl.lit(True).alias("was_displaced")), + on="applicant", + how="left", + ) + .with_columns( + [ + pl.when(pl.col("was_rejected").fill_null(False)) + .then(pl.col("next_rank") + 1) + .otherwise(pl.col("next_rank")) + .alias("next_rank"), + pl.when(pl.col("was_accepted").fill_null(False)) + .then(False) + .when(pl.col("was_displaced").full_null(False)) + .then(True) + .otherwise(pl.col("is_free")) + .alias("is_free"), + ] + ) + .select(["applicant", "next_rank", "is_free"]) + ) + + return matches.select(["applicant", "reviewer"]) + + +def deferred_acceptance_match(applicant_rankings, reviewer_rankings): + """Find Gale-Shapley deferred-acceptance stable matching for rankings A, R.""" reviewer_rankings = reviewer_rankings.rename( {reviewer_rankings.columns[0]: "applicant"} ) diff --git a/src/carousel/util.py b/src/carousel/util.py new file mode 100644 index 0000000..1735456 --- /dev/null +++ b/src/carousel/util.py @@ -0,0 +1,152 @@ +import itertools as it +import numpy as np + +import polars as pl +import polars.selectors as pls + +# Stability + + +def get_rank(ranking, ranker, ranked): + idx = ranking.select(pl.arg_where(pl.col("") == ranked)).item() + return ranking[ranker][idx] + + +def check_match_unstable(match, applicant_ranking, reviewer_ranking): + applicants = applicant_ranking.columns[1:] # assume unique applicants + for a, b in it.permutations(applicants, 2): + A = ( + match.select(c for c in match.iter_columns() if a in c).to_series().name + ) # the reviewer a is matched to + B = ( + match.select(c for c in match.iter_columns() if b in c).to_series().name + ) # the reviewer b is matched to + + b_prefers_A = get_rank(applicant_ranking, b, A) < get_rank( + applicant_ranking, b, B + ) + A_prefers_b = get_rank(reviewer_ranking, A, b) < get_rank( + reviewer_ranking, A, a + ) + if b_prefers_A and A_prefers_b: + return True + # else + return False + + +def check_match_stable(*args, **kwargs): + return not check_match_unstable(*args, **kwargs) + + +# Conversions + + +def rank_to_pref(ranking): + """Converts a ranking to a preference.""" + id_col_name = ranking.select(pls.by_index(0)).to_series().name + preferences = ranking.select( + [ + pl.col(id_col_name).sort_by(c).alias(c) + for c in ranking.columns + if c != id_col_name + ] + ) + return preferences + + +def pref_to_rank(preferences): + """Converts a preference to a ranking.""" + o = preferences.select( + pl.concat_list(preferences.columns).explode().unique().sort().alias("") + ) # .with_row_index(offset=1) + + ranking = pl.concat( + [ + o.join( + preferences.with_row_index(offset=1), + how="full", + left_on="", + right_on=c, + maintain_order="left", + ).select(pl.col("index").alias(c)) + for c in preferences.columns + ], + how="horizontal", + ) + return pl.concat([o, ranking], how="horizontal") + + +def ranks_to_mat(rankA, rankB): + return prefs_to_mat(rank_to_pref(rankA), rank_to_pref(rankB)) + + +def prefs_to_mat(prefA, prefB): + return rank_to_mat(pref_to_rank(preferences), pref_to_rank(preferences[0])) + + +def mat_to_ranks(matrix): + pass # TODO + + +def mat_to_prefs(matrix): + rankA, rankB = mat_to_ranks(matrix) + return rank_to_pref(rankA), rank_to_preft(rankB) + + +def pref_to_prio(pref, prioritizer="prioritizer", priority="subject"): + return pref.with_row_index("rank").unpivot( + index="rank", variable_name=prioritizer, value_name=priority + ) + + +def rank_to_prio(rank, **kwargs): + return pref_to_prio(rank_to_pref(rank), **kwargs) + + +"""" +def ranking_matrix(A, B): + T = pl.concat([A, B], how="horizontal") + + TT = T.with_columns(pl.concat_list(A.columns[0], B.columns[0])) + for ab in zip(A.columns[1:], B.columns[1:]): + TT = TT.with_columns(pl.concat_list(*ab)) + TTT = TT.select(pl.col(A.columns)) + + return TTT.insert_column(0, pl.Series("names", B.columns)) +""" + +## Output + + +def match_to_assignment(matching): + pass + + +def assgn_to_match(assignment): + pass + + +## Internal + + +# Validity + + +def check_pref_allunique(preferences): + """A valid set of preferences has all unique entries in each column.""" + repeats = preferences.select( + (~pl.all_horizontal((pl.all().is_unique() | pl.all().is_null()).all())).alias( + "repeats" + ) + ).get_column("repeats")[0] + return not repeats + + +def check_rank_noties(ranking): + """A valid ranking has no ties.""" + ties = ranking.select( + (~pl.all_horizontal((pl.all().is_unique() | pl.all().is_null()).all())).alias( + "ties" + ) + ).get_column("ties")[0] + return not ties diff --git a/test/galeshapley_test.py b/test/galeshapley_test.py index 3677239..d95fe56 100644 --- a/test/galeshapley_test.py +++ b/test/galeshapley_test.py @@ -40,7 +40,7 @@ def test_invalid_pref(): pp = pl.DataFrame( {"a": ["A", "A", "B"], "b": ["B", "A", "C"], "c": ["C", "B", "A"]} ) - assert crsl.check_valid_pref(pp) is False + assert crsl.check_pref_allunique(pp) is False def test_pref_to_rank(): @@ -51,7 +51,7 @@ def test_invalid_rank(): rr = pl.DataFrame( {"": ["A", "B", "C"], "a": [1, 1, 2], "b": [2, 1, 3], "c": [3, 2, 1]} ) - assert crsl.check_valid_pref(rr) is False + assert crsl.check_pref_allunique(rr) is False def test_rank_to_pref(): @@ -60,7 +60,7 @@ def test_rank_to_pref(): @given(rankings()) def test_valid_rank(R): - assert crsl.check_valid_rank(R) + assert crsl.check_rank_noties(R) @given(rankings()) @@ -70,7 +70,7 @@ def test_ranks_tofrom_prefs(R): @given(preferences()) def test_valid_pref(P): - assert crsl.check_valid_pref(P) + assert crsl.check_pref_allunique(P) @given(preferences()) @@ -99,7 +99,7 @@ def test_eg2_unstable(): ) match = pl.DataFrame({"A": ["a"], "B": ["b"], "C": ["c"], "D": ["d"]}) - assert crsl.check_unstable(match, ar, rr) + assert crsl.check_match_unstable(match, ar, rr) def test_eg2_isstable(): @@ -123,7 +123,7 @@ def test_eg2_isstable(): ) match = pl.DataFrame({"A": ["c"], "B": ["d"], "C": ["a"], "D": ["b"]}) - assert crsl.check_stable(match, ar, rr) + assert crsl.check_match_stable(match, ar, rr) @given( @@ -131,5 +131,5 @@ def test_eg2_isstable(): rankings(names=["A", "B", "C", "D"], choices=["a", "b", "c", "d"]), ) def test_defacc_isstable(applicant_rankings, reviewer_rankings): - match = crsl.deferred_acceptance(applicant_rankings, reviewer_rankings) - assert crsl.check_stable(match, applicant_rankings, reviewer_rankings) + match = crsl.matchby_deferred_acceptance(applicant_rankings, reviewer_rankings) + assert crsl.check_match_stable(match, applicant_rankings, reviewer_rankings) diff --git a/test/nbs/__marimo__/session/hovses.py.json b/test/nbs/__marimo__/session/hovses.py.json new file mode 100644 index 0000000..517c3e3 --- /dev/null +++ b/test/nbs/__marimo__/session/hovses.py.json @@ -0,0 +1,124 @@ +{ + "version": "1", + "metadata": { + "marimo_version": "0.18.3" + }, + "cells": [ + { + "id": "Hbol", + "code_hash": "bc65c35c6fad59890b50c502bb8affa4", + "outputs": [ + { + "type": "data", + "data": { + "text/markdown": "

Caltech Hovse Rotation Example

" + } + } + ], + "console": [] + }, + { + "id": "MJUe", + "code_hash": "ccb62cc29f2cec640b063832a90adfec", + "outputs": [ + { + "type": "data", + "data": { + "text/markdown": "

Imports

" + } + } + ], + "console": [] + }, + { + "id": "vblA", + "code_hash": "9588e2b4004a32c73b7ecc0a968b666f", + "outputs": [ + { + "type": "data", + "data": { + "text/plain": "" + } + } + ], + "console": [] + }, + { + "id": "bkHC", + "code_hash": "4821038400db1f5dc63daf7ca5b26279", + "outputs": [ + { + "type": "data", + "data": { + "text/markdown": "

Generating Rotation Rankings

" + } + } + ], + "console": [] + }, + { + "id": "lEQa", + "code_hash": "ecc9ae14c8c8f3875656fc620665c6b4", + "outputs": [ + { + "type": "data", + "data": { + "text/html": "
True
" + } + } + ], + "console": [] + }, + { + "id": "NdeS", + "code_hash": "c582dec943ff7b743aa0691df291cea6", + "outputs": [ + { + "type": "data", + "data": { + "text/html": "" + } + } + ], + "console": [] + }, + { + "id": "PKri", + "code_hash": "b9f0f3a28a20d94d4b173bbbd49db37f", + "outputs": [], + "console": [] + }, + { + "id": "Xref", + "code_hash": "ccc8305d08e563d4fb1c9df31e9b7b69", + "outputs": [ + { + "type": "data", + "data": { + "text/html": "" + } + } + ], + "console": [] + }, + { + "id": "taaO", + "code_hash": "b712cc6f3d50763308dd5bc1c6703f77", + "outputs": [ + { + "type": "data", + "data": { + "text/html": "" + } + } + ], + "console": [] + }, + { + "id": "wJzy", + "code_hash": null, + "outputs": [], + "console": [] + } + ] +} \ No newline at end of file diff --git a/test/nbs/hovses.py b/test/nbs/hovses.py index 038ad81..6846191 100644 --- a/test/nbs/hovses.py +++ b/test/nbs/hovses.py @@ -1,18 +1,22 @@ import marimo -__generated_with = "0.13.6" +__generated_with = "0.18.3" app = marimo.App(width="medium") @app.cell(hide_code=True) def _(mo): - mo.md(r"""# Caltech Hovse Rotation Example""") + mo.md(r""" + # Caltech Hovse Rotation Example + """) return @app.cell(hide_code=True) def _(mo): - mo.md(r"""## Imports""") + mo.md(r""" + ## Imports + """) return @@ -22,27 +26,73 @@ def _(): import polars as pl, polars.selectors as pls import numpy as np, faker as fk import carousel as crsl + return crsl, mo, pl @app.cell(hide_code=True) def _(mo): - mo.md(r"""## Generating Rotation Rankings""") + mo.md(r""" + ## Generating Rotation Rankings + """) return @app.cell def _(crsl, pl): - ar = pl.DataFrame({ "": ["A", "B", "C", "D"], "a": [1, 2, 3, 4], "b": [1, 4, 3, 2], "c": [2, 1, 3, 4], "d": [4, 2, 3, 1]}) - rr = pl.DataFrame({ "": ["a", "b", "c", "d"], "A": [3, 4, 2, 1], "B": [3, 1, 4, 2], "C": [2, 3, 4, 1], "D": [3, 2, 1, 4]}) + ar = pl.DataFrame( + { + "": ["A", "B", "C", "D"], + "a": [1, 2, 3, 4], + "b": [1, 4, 3, 2], + "c": [2, 1, 3, 4], + "d": [4, 2, 3, 1], + } + ) + rr = pl.DataFrame( + { + "": ["a", "b", "c", "d"], + "A": [3, 4, 2, 1], + "B": [3, 1, 4, 2], + "C": [2, 3, 4, 1], + "D": [3, 2, 1, 4], + } + ) m = pl.DataFrame({"A": ["c"], "B": ["d"], "C": ["a"], "D": ["b"]}) - crsl.check_stable(m, ar, rr) + crsl.check_match_stable(m, ar, rr) + return ar, rr + + +@app.cell +def _(ar): + ar return @app.cell def _(): - hovses = ["Blacker", "Dabney", "Ricketts", "Fleming", "Page", "Lloyd", "Venerable", "Avery"] + hovses = [ + "Blacker", + "Dabney", + "Ricketts", + "Fleming", + "Page", + "Lloyd", + "Venerable", + "Avery", + ] + return + + +@app.cell +def _(ar, crsl): + crsl.rank_to_pref(ar) + return + + +@app.cell +def _(crsl, rr): + crsl.pref_to_prio(crsl.rank_to_pref(rr)) return diff --git a/uv.lock b/uv.lock index cc445c3..9a04bee 100644 --- a/uv.lock +++ b/uv.lock @@ -1,30 +1,30 @@ version = 1 -revision = 2 +revision = 3 requires-python = ">=3.13" [[package]] name = "altair" -version = "5.5.0" +version = "6.0.0" source = { registry = 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