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Add pure correction and pedagogy logic with full test coverage
scripts/correction/: AnswerValidator (multiple choice, sentence correction via tap-the-faulty-word + retype) and DictationAnalyzer build the CorrectionResult structure from cahier des charges §6. Dictation analysis aligns words with WordAligner (Wagner-Fischer edit distance) before any character comparison, so an omitted or added word doesn't cascade into false errors on every following word. TextNormalizer handles non-breaking spaces, typographic apostrophes, and decomposed-vs-composed French accented characters via an explicit table (GDScript has no built-in NFC/NFD normalization). Error classification follows the data annotations only (rule_id present -> grammatical, absent -> unclassified), never a runtime linguistic guess. scripts/pedagogy/: DifficultyManager (per-skill difficulty from recent results), AttemptFlow (3-attempt graduated aid: hint, then explanation, then reveal, matching exercise-lifecycle.md's second gap), and ReviewScheduler (the five mastery states from §9, with session-counted spaced review intervals [1, 3, 6, 12] rather than wall-clock dates, since a family device's clock isn't trustworthy). All of it is pure: no scene tree, no clock or RNG read directly, every effectful input (session number, attempt outcome) is a parameter. 65 headless tests across both layers, including the word-omission-doesn't-cascade regression and the full decouverte -> acquise -> a_reviser -> acquise path. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
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extends GutTest
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## Tests de WordAligner : l'alignement doit absorber les mots omis ou ajoutes
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## sans decaler les comparaisons suivantes.
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var target: Array[String] = ["Les", "petits", "chats", "dorment."]
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func test_identical_sequences_are_all_matches() -> void:
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var ops := WordAligner.align(target, target.duplicate())
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for op in ops:
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assert_eq(op["op"], "match")
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assert_eq(ops.size(), 4)
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func test_single_substitution_is_detected_at_the_right_position() -> void:
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var submitted: Array[String] = ["Les", "petit", "chats", "dorment."]
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var ops := WordAligner.align(target, submitted)
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assert_eq(ops.size(), 4)
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assert_eq(ops[1]["op"], "substitute")
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assert_eq(ops[1]["target_index"], 1)
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assert_eq(ops[0]["op"], "match")
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assert_eq(ops[2]["op"], "match")
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assert_eq(ops[3]["op"], "match")
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func test_missing_word_is_a_delete_and_does_not_shift_later_matches() -> void:
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# L'enfant a oublie "petits" : sans alignement, "chats" se comparerait a
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# "petits" et "dorment." a "chats", generant deux fausses erreurs en cascade.
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var submitted: Array[String] = ["Les", "chats", "dorment."]
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var ops := WordAligner.align(target, submitted)
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assert_eq(ops.size(), 4)
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assert_eq(ops[0]["op"], "match")
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assert_eq(ops[1]["op"], "delete")
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assert_eq(ops[1]["target_index"], 1)
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assert_eq(ops[2]["op"], "match")
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assert_eq(ops[2]["target_index"], 2)
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assert_eq(ops[3]["op"], "match")
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assert_eq(ops[3]["target_index"], 3)
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func test_extra_word_is_an_insert() -> void:
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var submitted: Array[String] = ["Les", "petits", "petits", "chats", "dorment."]
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var ops := WordAligner.align(target, submitted)
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var insert_ops: Array = ops.filter(func(op: Dictionary) -> bool: return op["op"] == "insert")
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assert_eq(insert_ops.size(), 1)
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