bd4b956e3c
klausur-service (11 files): - cv_gutter_repair, ocr_pipeline_regression, upload_api - ocr_pipeline_sessions, smart_spell, nru_worksheet_generator - ocr_pipeline_overlays, mail/aggregator, zeugnis_api - cv_syllable_detect, self_rag backend-lehrer (17 files): - classroom_engine/suggestions, generators/quiz_generator - worksheets_api, llm_gateway/comparison, state_engine_api - classroom/models (→ 4 submodules), services/file_processor - alerts_agent/api/wizard+digests+routes, content_generators/pdf - classroom/routes/sessions, llm_gateway/inference - classroom_engine/analytics, auth/keycloak_auth - alerts_agent/processing/rule_engine, ai_processor/print_versions agent-core (5 files): - brain/memory_store, brain/knowledge_graph, brain/context_manager - orchestrator/supervisor, sessions/session_manager admin-lehrer (5 components): - GridOverlay, StepGridReview, DevOpsPipelineSidebar - DataFlowDiagram, sbom/wizard/page website (2 files): - DependencyMap, lehrer/abitur-archiv Other: nibis_ingestion, grid_detection_service, export-doclayout-onnx Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
36 lines
891 B
Python
36 lines
891 B
Python
"""
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Gutter Repair — barrel re-export.
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All implementation split into:
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cv_gutter_repair_core — spellchecker setup, data types, single-word repair
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cv_gutter_repair_grid — grid analysis, suggestion application
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Lizenz: Apache 2.0 (kommerziell nutzbar)
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DATENSCHUTZ: Alle Verarbeitung erfolgt lokal.
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"""
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# Core: spellchecker, data types, repair helpers
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from cv_gutter_repair_core import ( # noqa: F401
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_init_spellcheckers,
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_is_known,
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_spell_candidates,
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_MIN_WORD_LEN_SPELL,
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_MIN_WORD_LEN_HYPHEN,
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_GUTTER_EDGE_THRESHOLD,
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_STOPWORDS,
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_IPA_RE,
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_is_ipa_text,
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_word_is_at_gutter_edge,
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GutterSuggestion,
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_TRAILING_PUNCT_RE,
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_try_hyphen_join,
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_try_spell_fix,
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_edit_distance,
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)
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# Grid: analysis and application
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from cv_gutter_repair_grid import ( # noqa: F401
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analyse_grid_for_gutter_repair,
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apply_gutter_suggestions,
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)
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