Modernized codebase with NamedTuples, StrEnum, override decorators, slots, and other idiomatic improvements.
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+22
-16
@@ -22,6 +22,7 @@ from typing import TYPE_CHECKING
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import pytest
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from crabstero.database import StartWord, Transition
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from crabstero.markov import (
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DEFAULT_SENTENCE_END,
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_ingest_sentence,
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@@ -211,16 +212,16 @@ class TestGenerate:
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# continuing ("E") and completing ("end.") transition, so
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# get_random_completing_next_word deterministically picks "end.".
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await db.add_markov_data(
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[(1, 100, "A")],
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[StartWord(1, 100, "A")],
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[
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(1, 100, "A", "B"),
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(1, 100, "B", "C"),
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(1, 100, "C", "D"),
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(1, 100, "D", "E"),
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(1, 100, "D", "F"),
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(1, 100, "D", "G"),
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(1, 100, "D", "H"),
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(1, 100, "D", "end."),
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Transition(1, 100, "A", "B"),
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Transition(1, 100, "B", "C"),
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Transition(1, 100, "C", "D"),
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Transition(1, 100, "D", "E"),
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Transition(1, 100, "D", "F"),
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Transition(1, 100, "D", "G"),
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Transition(1, 100, "D", "H"),
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Transition(1, 100, "D", "end."),
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],
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)
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@@ -230,14 +231,14 @@ class TestGenerate:
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async def test_start_word_already_ends_sentence(self, db: Database) -> None:
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"""Generation stops immediately when the start word is sentence-ending."""
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await db.add_markov_data([(1, 100, "Yes.")], [])
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await db.add_markov_data([StartWord(1, 100, "Yes.")], [])
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result = await generate(db, 1)
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assert result == "Yes."
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async def test_chain_dead_end(self, db: Database) -> None:
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"""Generation stops when no next word exists (dead-end chain)."""
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await db.add_markov_data([(1, 100, "Hello")], [])
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await db.add_markov_data([StartWord(1, 100, "Hello")], [])
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# "Hello" has no transitions, so the loop breaks immediately.
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result = await generate(db, 1)
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@@ -247,10 +248,10 @@ class TestGenerate:
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"""Section sign at the truncation boundary is stripped."""
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# Build a chain: "A" -> "B" -> "C§".
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await db.add_markov_data(
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[(1, 100, "A")],
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[StartWord(1, 100, "A")],
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[
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(1, 100, "A", "B"),
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(1, 100, "B", f"C{DEFAULT_SENTENCE_END}"),
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Transition(1, 100, "A", "B"),
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Transition(1, 100, "B", f"C{DEFAULT_SENTENCE_END}"),
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],
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)
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@@ -264,14 +265,19 @@ class TestGenerate:
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"""After soft_limit, falls back when no completing word exists."""
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# "A" -> "B" (no completing transition). Past soft_limit,
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# get_random_completing_next_word returns None, falls back to "B".
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await db.add_markov_data([(1, 100, "A")], [(1, 100, "A", "B")])
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await db.add_markov_data(
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[StartWord(1, 100, "A")], [Transition(1, 100, "A", "B")]
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)
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result = await generate(db, 1, soft_limit=1, hard_limit=1000)
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assert result == "A B"
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async def test_hard_limit_truncates_mid_word(self, db: Database) -> None:
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"""Hard limit slices output even when it falls inside a word."""
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await db.add_markov_data([(1, 100, "AB")], [(1, 100, "AB", "CDEF")])
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await db.add_markov_data(
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[StartWord(1, 100, "AB")],
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[Transition(1, 100, "AB", "CDEF")],
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)
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# "AB CDEF" is 7 chars; hard_limit=5 truncates to "AB CD".
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result = await generate(db, 1, soft_limit=100, hard_limit=5)
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