notes
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@ -3,7 +3,7 @@ EXEC pricing.single_price_call
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@bill = 'GRIF0001',
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@ship = 'GRIF0001',
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@part = 'XNS0T1G3G18B096',
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@v1ds = 'v1:B..PLT..',
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@v1ds = 'v1:B.L.PLT..',
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@vol = 9600;
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@ -1,37 +1,73 @@
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/*
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====================================================================================
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Script: single_price_call.ms.sql
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Purpose: Single price call logic for a specific scenario (SQL Server)
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-----------------------------------------------------------------------------------
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Description:
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- Accepts a single pricing scenario (bill, ship, part, v1ds, vol)
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- Enriches with customer, channel, tier, pack quantity, price level, and part group
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- Looks up and applies target price, price history, list price, and guidance logic
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- Builds a JSON explanation and UI JSON for the scenario
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Purpose:
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Single price call logic for SQL Server, designed to process a single scenario
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(bill-to, ship-to, part, volume, and target data segment) and return enriched
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pricing guidance along with explanation JSON for UI or API use.
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-----------------------------------------------------------------------------------
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Core Workflow:
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1. **Seed Input**: Initialize queue with bill, ship, part, v1ds, vol.
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2. **Customer & Channel Enrichment**:
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- Resolve customer, channel, tier, pack quantity, price level.
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- Classify and flag customized part scenarios when v1ds differs from part's own v1ds.
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- Capture standard costs (current/future) and derive v0ds from v1ds.
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3. **Last Price History**:
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- Pull `part_stats` JSON from `pricing.lastpricedetail`.
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- Extract most recent sale/quote via `pricing.pick_last_price_from_hist_json`.
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- Flag part/dataseg mismatches (`last_isdiff`) and derive last v0ds.
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4. **Target Price Application**:
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- Lookup current and last target prices (matching respective v1ds).
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- Store target price math JSON and pallet volume range.
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5. **Cost Substitution & Normalization**:
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- For customized or differing dataseg, substitute average costs from v1/v0 sources.
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- Compute premiums and normalize last prices for comparison.
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- Record calculation method (`Target Price Ratio` or `Cost Ratio`).
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6. **List Price Selection**:
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- From external `pricelist_ranged`, pick lowest valid list price in volume band.
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- Nullify list price when customized, with relevance flag.
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7. **Guidance Logic**:
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- Pass target, normalized last, and list prices into `pricing.guidance_logic`.
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- Return computed guidance price and rationale.
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8. **JSON Explanation Build**:
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- Assemble all pricing components into `expl` JSON for structured storage.
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9. **UI JSON Build**:
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- Package human-readable panels (History, List, Target Support, Guidance)
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plus raw `expl` JSON into `ui_json`.
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-----------------------------------------------------------------------------------
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Inputs:
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- @bill, @ship, @part, @v1ds, @vol (procedure arguments)
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- Reference tables: pricing.target_prices, pricing.lastpricedetail, pricing.pricelist_ranged
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- Customer/item reference: rlarp.cust, CMS.CUSLG.itemm, CMS.CUSLG.IPRCBHC
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- @bill, @ship, @part, @v1ds, @vol
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Reference Tables:
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- pricing.target_prices
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- pricing.lastpricedetail
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- pricing.pricelist_ranged
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- rlarp.cust
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- CMS.CUSLG.itemm
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- CMS.CUSLG.IPRCBHC
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- rlarp.cost_v1ds / cost_v0ds
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Outputs:
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- Returns a single enriched row with all pricing and explanation fields
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Key Business Logic:
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- Channel/tier/customer resolution based on bill/ship codes
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- Target price and math lookup by segment, channel, tier, and volume
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- Price history precedence and extraction via helper function
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- List price selection: lowest valid price for the scenario
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- Guidance logic: computed from target, last, and list prices
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- Single row with:
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* Enriched pricing attributes
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* Target, last, list, and guidance prices
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* Cost data and premiums
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* `expl` JSON (raw detail)
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* `ui_json` JSON (UI-ready panels)
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Dependencies:
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- pricing.guidance_logic (function)
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- pricing.pick_last_price_from_hist_json (function)
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- pricing.guidance_logic()
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- pricing.pick_last_price_from_hist_json()
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Notes:
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- Designed for single-row pricing queries (API or UI)
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- Assumes all referenced tables and functions exist
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- See also: matrix_guidance.pg.sql for batch/matrix logic
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- Designed for single-row queries; see matrix_guidance.pg.sql for batch mode.
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- Last price normalization ensures cross-segment comparisons are cost/target aligned.
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- List price is ignored for customized part scenarios.
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- Sequencing ensures:
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* Historical context (last price) is established before guidance logic
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* Target price and cost adjustments precede list price selection
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====================================================================================
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*/
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CREATE OR ALTER PROCEDURE pricing.single_price_call
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@ -95,13 +131,13 @@ BEGIN
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);
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--------------------------------------------------------------------------------
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-- Step 1: Seed the queue with input row
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-- Step 1: Seed input
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--------------------------------------------------------------------------------
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INSERT INTO @queue (bill, ship, part, v1ds, vol, expl)
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VALUES (@bill, @ship, @part, @v1ds, @vol, '{}');
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--------------------------------------------------------------------------------
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-- Step 2: Enrich with channel, tier, customer, pack quantity, and price level
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-- Step 2: Look up master data & costs
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--------------------------------------------------------------------------------
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UPDATE q
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SET
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@ -155,7 +191,7 @@ BEGIN
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--------------------------------------------------------------------------------
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-- Step 4: Pull last sale data and embed in columns and JSON
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-- Step 3: Lookup Last Price
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--------------------------------------------------------------------------------
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UPDATE q
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SET
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@ -186,7 +222,7 @@ BEGIN
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) b;
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--------------------------------------------------------------------------------
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-- Step 3: Apply target price and embed metadata as JSON
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-- Step 4: Lookup Target Price
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--------------------------------------------------------------------------------
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UPDATE q
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@ -216,10 +252,10 @@ BEGIN
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);
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--------------------------------------------------------------------------------
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-- Step 3.b: Apply secondary cost data
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-- Step 5: Normalize last price if different from target product
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--------------------------------------------------------------------------------
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-- goal datasegment will inherit original but if it is customerd, will pull available average
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-- Goal data segment inherits part's original segment; if customized, pull available v1/v0 averages.
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UPDATE q
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SET
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curstd = CASE WHEN customized = '' THEN q.curstd_orig ELSE COALESCE(v1.curstdus, v0.curstdus) END
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@ -279,7 +315,7 @@ BEGIN
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FROM @queue q;
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--------------------------------------------------------------------------------
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-- Step 5: Add list price info from external pricelist
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-- Step 6: Lookup List Price
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--------------------------------------------------------------------------------
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WITH ranked_prices AS (
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SELECT
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@ -318,7 +354,7 @@ BEGIN
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--------------------------------------------------------------------------------
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-- Step 6: Compute guidance price and logic, and embed in JSON
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-- Step 7: Compute guidance logic from target, normalized last, list price, and last date.
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--------------------------------------------------------------------------------
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UPDATE q
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SET
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@ -333,7 +369,7 @@ BEGIN
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) g;
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--------------------------------------------------------------------------------
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-- Step 4b.2: Build JSON explanation object from populated columns
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-- Step 8: Assemble structured 'expl' JSON from populated columns.
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--------------------------------------------------------------------------------
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UPDATE q
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SET expl = (
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@ -377,7 +413,7 @@ BEGIN
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FROM @queue q;
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--------------------------------------------------------------------------------
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-- Step 7: Clean up for UI
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-- Step 9: Create 'ui_json' with panels (History, List, Target Support, Guidance) and include raw 'expl' JSON.
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--------------------------------------------------------------------------------
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UPDATE q
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SET ui_json = (
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@ -458,11 +494,8 @@ BEGIN
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)
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FROM @queue q;
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--------------------------------------------------------------------------------
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-- Final: Return the enriched result row
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-- Final: Return all calculated fields and JSON payloads.
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--------------------------------------------------------------------------------
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--SELECT guidance_price, hist, expl, ui_json FROM @queue;
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SELECT * FROM @queue;
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END;
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SELECT * FROM @queue;
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END;
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