Initial commit of mass ranker code
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ab7a31d6bf
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.gitignore
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.gitignore
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*.py[cod]
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.idea/
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65
main.py
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65
main.py
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import sys
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from datetime import datetime, UTC
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from typing import Optional
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import os.path
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from massranker.state import StateT, ItemT
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from massranker.storage import Storage
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def main():
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if len(sys.argv) != 2:
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print("massranker <ontology>")
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exit(1)
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ontology = sys.argv[1]
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def _ontology_path(fname):
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return os.path.join("ontologies", ontology, fname)
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def _write_rankings(state: StateT):
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with open(_ontology_path("rankings.txt"), "wt") as f:
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for ix, (name, elo) in enumerate(state.dump_rankings(), start=1):
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f.write("{: >4}. {} ({})\n".format(ix, name, elo))
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names = []
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with open(_ontology_path("names.txt"), "rt") as f:
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for line in f.read().split("\n"):
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if line.strip() == "":
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continue
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names.append(line)
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with Storage.transact(_ontology_path("rankings.db")) as storage:
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state: StateT = storage.fetch_last_state()
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_write_rankings(state)
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while True:
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state: StateT = storage.fetch_last_state()
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state.do_tournament(names, _ask)
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storage.store_state(state)
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_write_rankings(state)
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def _ask(item0: ItemT, item1: ItemT) -> Optional[ItemT]:
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print("Which do you prefer?")
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print(f" 0: {item0.name}")
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print(f" 1: {item1.name}")
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print(f" 2: neither")
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while True:
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i = input("0/1/2> ")
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if i == "0":
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return item0
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elif i == "1":
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return item1
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elif i == "2":
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return None
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print(f"unexpected input: {i}")
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||||
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if __name__ == "__main__":
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main()
|
0
massranker/__init__.py
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0
massranker/__init__.py
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7
massranker/elo.py
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7
massranker/elo.py
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# Source: https://github.com/rshk/elo/blob/master/elo.py
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def expected(a, b):
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return 1 / (1 + 10 ** ((b - a) / 400))
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def elo(old, exp, score, k=32):
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return old + k * (score - exp)
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78
massranker/state.py
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78
massranker/state.py
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import random
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from collections.abc import Callable
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from datetime import datetime, UTC, timedelta
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from typing import Optional
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from pydantic import BaseModel
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from massranker.elo import expected, elo
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class ItemT(BaseModel):
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name: str
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elo: float
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enabled: bool
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class StateT(BaseModel):
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items: list[ItemT]
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@classmethod
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def default(cls):
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return StateT(items=[])
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def _bring_up_to_date(self, names: list[str]):
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names_set = set(names)
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seen = set()
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# == first: figure out the list of enabled names ==
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for i in self.items:
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i.enabled = i.name in names_set
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seen.add(i.name)
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remaining_names = names_set - seen
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for name in remaining_names:
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self.items.append(ItemT(
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name=name,
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elo=1500,
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enabled=True,
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))
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def do_tournament(self, names: list[str], callback: Callable[[ItemT, ItemT], Optional[ItemT]]):
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# bring up to date
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self._bring_up_to_date(names)
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# set up a tournament
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possible_entrants = [i for i in self.items if i.enabled]
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if len(possible_entrants) < 2:
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raise ValueError("need at least two things to compare")
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entrants = random.sample(possible_entrants, k=2)
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# ask for a winner
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winner = callback(entrants[0], entrants[1])
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# update elo
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score_0 = 0.0
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score_1 = 0.0
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if winner is None:
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score_0 += 0.5
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score_1 += 0.5
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elif winner == entrants[0]:
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score_0 += 1.0
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elif winner == entrants[1]:
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score_1 += 1.0
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expected_score_0 = expected(entrants[0].elo, entrants[1].elo)
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expected_score_1 = expected(entrants[1].elo, entrants[0].elo)
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# assert expected_score_0 == 1 - expected_score_1
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entrants[0].elo = elo(entrants[0].elo, expected_score_0, score_0)
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entrants[1].elo = elo(entrants[1].elo, expected_score_1, score_1)
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def dump_rankings(self) -> list[tuple[str, int]]:
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||||
return [
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(e.name, int(e.elo))
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for e in sorted(self.items, key=lambda e: e.elo, reverse=True)
|
||||
if e.enabled
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||||
]
|
59
massranker/storage.py
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59
massranker/storage.py
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import sqlite3
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from contextlib import contextmanager
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||||
from datetime import datetime
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||||
from typing import Generator
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||||
|
||||
from massranker.state import StateT
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||||
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||||
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class Storage(object):
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||||
def __init__(self, db: sqlite3.Connection):
|
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self._db = db
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||||
|
||||
@classmethod
|
||||
@contextmanager
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||||
def transact(cls, name) -> Generator["Storage", None, None]:
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||||
db = sqlite3.connect(name)
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||||
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||||
db.execute("""
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||||
CREATE TABLE IF NOT EXISTS states(
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||||
id INTEGER PRIMARY KEY AUTOINCREMENT,
|
||||
value BLOB CHECK (json_valid(value, 0x08))
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||||
) STRICT;
|
||||
""")
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||||
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||||
yield Storage(db)
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||||
db.close()
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||||
|
||||
def fetch_last_state(self) -> StateT:
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||||
cursor = self._db.execute(
|
||||
"""SELECT json(value) FROM states ORDER BY id DESC LIMIT 1;"""
|
||||
)
|
||||
rows = list(cursor)
|
||||
if len(rows) == 0:
|
||||
return StateT.default()
|
||||
|
||||
(value,) = rows[0]
|
||||
|
||||
return StateT.model_validate_json(value)
|
||||
|
||||
def store_state(self, state: StateT):
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||||
c = self._db.cursor()
|
||||
c.execute("BEGIN;")
|
||||
try:
|
||||
c.execute(
|
||||
"""INSERT INTO states(value) VALUES (jsonb(:value));""",
|
||||
dict(value=state.model_dump_json())
|
||||
)
|
||||
# keep 100 previous versions
|
||||
c.execute(
|
||||
"""
|
||||
DELETE FROM states
|
||||
WHERE id NOT IN
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||||
(SELECT id FROM states ORDER BY id DESC LIMIT 100);
|
||||
""",
|
||||
)
|
||||
c.execute("COMMIT;")
|
||||
except:
|
||||
c.execute("ROLLBACK;")
|
||||
raise
|
2
ontologies/.gitignore
vendored
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2
ontologies/.gitignore
vendored
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@ -0,0 +1,2 @@
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||||
**/rankings.db
|
||||
**/rankings.txt
|
2
ontologies/music/names.txt
Normal file
2
ontologies/music/names.txt
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@ -0,0 +1,2 @@
|
||||
Saturday - Childish Gambino
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||||
Alice - Moby (Noisia Remix)
|
152
poetry.lock
generated
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152
poetry.lock
generated
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@ -0,0 +1,152 @@
|
||||
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
description = "Reusable constraint types to use with typing.Annotated"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"},
|
||||
{file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pydantic"
|
||||
version = "2.9.2"
|
||||
description = "Data validation using Python type hints"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pydantic-2.9.2-py3-none-any.whl", hash = "sha256:f048cec7b26778210e28a0459867920654d48e5e62db0958433636cde4254f12"},
|
||||
{file = "pydantic-2.9.2.tar.gz", hash = "sha256:d155cef71265d1e9807ed1c32b4c8deec042a44a50a4188b25ac67ecd81a9c0f"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
annotated-types = ">=0.6.0"
|
||||
pydantic-core = "2.23.4"
|
||||
typing-extensions = [
|
||||
{version = ">=4.12.2", markers = "python_version >= \"3.13\""},
|
||||
{version = ">=4.6.1", markers = "python_version < \"3.13\""},
|
||||
]
|
||||
|
||||
[package.extras]
|
||||
email = ["email-validator (>=2.0.0)"]
|
||||
timezone = ["tzdata"]
|
||||
|
||||
[[package]]
|
||||
name = "pydantic-core"
|
||||
version = "2.23.4"
|
||||
description = "Core functionality for Pydantic validation and serialization"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "pydantic_core-2.23.4-cp310-cp310-macosx_10_12_x86_64.whl", hash = "sha256:b10bd51f823d891193d4717448fab065733958bdb6a6b351967bd349d48d5c9b"},
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||||
{file = "pydantic_core-2.23.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:4fc714bdbfb534f94034efaa6eadd74e5b93c8fa6315565a222f7b6f42ca1166"},
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{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:ed1a53de42fbe34853ba90513cea21673481cd81ed1be739f7f2efb931b24916"},
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{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:cfdd16ab5e59fc31b5e906d1a3f666571abc367598e3e02c83403acabc092e07"},
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{file = "pydantic_core-2.23.4-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:255a8ef062cbf6674450e668482456abac99a5583bbafb73f9ad469540a3a232"},
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||||
{file = "pydantic_core-2.23.4-cp310-none-win_amd64.whl", hash = "sha256:7c9129eb40958b3d4500fa2467e6a83356b3b61bfff1b414c7361d9220f9ae8f"},
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||||
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{file = "pydantic_core-2.23.4-cp313-cp313-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42c6dcb030aefb668a2b7009c85b27f90e51e6a3b4d5c9bc4c57631292015b0d"},
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{file = "pydantic_core-2.23.4-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:5c364564d17da23db1106787675fc7af45f2f7b58b4173bfdd105564e132e6fb"},
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||||
{file = "pydantic_core-2.23.4-cp38-none-win32.whl", hash = "sha256:d7a80d21d613eec45e3d41eb22f8f94ddc758a6c4720842dc74c0581f54993d6"},
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{file = "pydantic_core-2.23.4-cp38-none-win_amd64.whl", hash = "sha256:5f5ff8d839f4566a474a969508fe1c5e59c31c80d9e140566f9a37bba7b8d556"},
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{file = "pydantic_core-2.23.4-cp39-cp39-macosx_10_12_x86_64.whl", hash = "sha256:a4fa4fc04dff799089689f4fd502ce7d59de529fc2f40a2c8836886c03e0175a"},
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{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:dcedcd19a557e182628afa1d553c3895a9f825b936415d0dbd3cd0bbcfd29b4b"},
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{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:5f54b118ce5de9ac21c363d9b3caa6c800341e8c47a508787e5868c6b79c9323"},
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{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:de6d1d1b9e5101508cb37ab0d972357cac5235f5c6533d1071964c47139257df"},
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{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1278e0d324f6908e872730c9102b0112477a7f7cf88b308e4fc36ce1bdb6d58c"},
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{file = "pydantic_core-2.23.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:9a6b5099eeec78827553827f4c6b8615978bb4b6a88e5d9b93eddf8bb6790f55"},
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{file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:e55541f756f9b3ee346b840103f32779c695a19826a4c442b7954550a0972040"},
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{file = "pydantic_core-2.23.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:a5c7ba8ffb6d6f8f2ab08743be203654bb1aaa8c9dcb09f82ddd34eadb695605"},
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{file = "pydantic_core-2.23.4-cp39-none-win_amd64.whl", hash = "sha256:1498bec4c05c9c787bde9125cfdcc63a41004ff167f495063191b863399b1a29"},
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{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_10_12_x86_64.whl", hash = "sha256:f455ee30a9d61d3e1a15abd5068827773d6e4dc513e795f380cdd59932c782d5"},
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||||
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:1e90d2e3bd2c3863d48525d297cd143fe541be8bbf6f579504b9712cb6b643ec"},
|
||||
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2e203fdf807ac7e12ab59ca2bfcabb38c7cf0b33c41efeb00f8e5da1d86af480"},
|
||||
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e08277a400de01bc72436a0ccd02bdf596631411f592ad985dcee21445bd0068"},
|
||||
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f220b0eea5965dec25480b6333c788fb72ce5f9129e8759ef876a1d805d00801"},
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||||
{file = "pydantic_core-2.23.4-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9a5bce9d23aac8f0cf0836ecfc033896aa8443b501c58d0602dbfd5bd5b37753"},
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||||
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_10_12_x86_64.whl", hash = "sha256:78ddaaa81421a29574a682b3179d4cf9e6d405a09b99d93ddcf7e5239c742e21"},
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||||
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:883a91b5dd7d26492ff2f04f40fbb652de40fcc0afe07e8129e8ae779c2110eb"},
|
||||
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:88ad334a15b32a791ea935af224b9de1bf99bcd62fabf745d5f3442199d86d59"},
|
||||
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:233710f069d251feb12a56da21e14cca67994eab08362207785cf8c598e74577"},
|
||||
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:19442362866a753485ba5e4be408964644dd6a09123d9416c54cd49171f50744"},
|
||||
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:624e278a7d29b6445e4e813af92af37820fafb6dcc55c012c834f9e26f9aaaef"},
|
||||
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:f5ef8f42bec47f21d07668a043f077d507e5bf4e668d5c6dfe6aaba89de1a5b8"},
|
||||
{file = "pydantic_core-2.23.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:aea443fffa9fbe3af1a9ba721a87f926fe548d32cab71d188a6ede77d0ff244e"},
|
||||
{file = "pydantic_core-2.23.4.tar.gz", hash = "sha256:2584f7cf844ac4d970fba483a717dbe10c1c1c96a969bf65d61ffe94df1b2863"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
typing-extensions = ">=4.6.0,<4.7.0 || >4.7.0"
|
||||
|
||||
[[package]]
|
||||
name = "typing-extensions"
|
||||
version = "4.12.2"
|
||||
description = "Backported and Experimental Type Hints for Python 3.8+"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "typing_extensions-4.12.2-py3-none-any.whl", hash = "sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d"},
|
||||
{file = "typing_extensions-4.12.2.tar.gz", hash = "sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"},
|
||||
]
|
||||
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.10"
|
||||
content-hash = "07151d1fab8f0d08281ed6d6a8430246d1c17897e1567fa79a9631d347249782"
|
15
pyproject.toml
Normal file
15
pyproject.toml
Normal file
@ -0,0 +1,15 @@
|
||||
[tool.poetry]
|
||||
name = "massranker"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
authors = ["Nyeogmi <economicsbat@gmail.com>"]
|
||||
readme = "README.md"
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.10"
|
||||
pydantic = "^2.9.2"
|
||||
|
||||
|
||||
[build-system]
|
||||
requires = ["poetry-core"]
|
||||
build-backend = "poetry.core.masonry.api"
|
Loading…
Reference in New Issue
Block a user