# file: /app/app/services/basket_analysis_service.py
# hypothesis_version: 6.150.0

[-10.0, 0.0, 0.01, 0.1, 0.2, 0.5, 1.0, 1.5, 3.0, 15.0, 100, 365, 395, 730, 5000, 10000, 'Desconocido', 'Error', 'Sobrestock', 'action', 'alert_level', 'alternatives', 'alto', 'analysis_period_days', 'avg_margin', 'bajo', 'base_margin', 'base_product_code', 'base_product_margin', 'base_product_name', 'basket_count', 'basket_date', 'category', 'category_margin', 'co_occurrence', 'co_occurrence_count', 'codigo_nacional', 'complementary', 'complementary_code', 'comprar', 'confidence', 'confidence_label', 'coverage_days', 'danger', 'detected_brand', 'eliminar', 'employee_code', 'error', 'factors', 'gmroi', 'high', 'info', 'invoice_number', 'lift', 'lift_level', 'low', 'mantener', 'margen bajo', 'margin_percent', 'margin_vs_category', 'medio', 'medium', 'message', 'ml_category', 'momentum_seasonal', 'product_code', 'product_margin', 'product_name', 'product_sales', 'product_total', 'reasons', 'recommendation', 'reducir', 'revisar', 'rotura', 'sales_volume_rank', 'sample_rate', 'sampling_applied', 'seasonality_context', 'seasonality_index', 'success', 'suggested_quantity', 'support', 'support_label', 'tendencia negativa', 'total_amount', 'total_count', 'total_sales', 'total_units', 'trend_mat', 'unique_products', 'unknown', 'warning']