FAILURE MAP
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FA-57821 / Auction allocation rules / Open access

Award assignment: self assignment noop · case 01

Self-assignment consumes award capacity as if a different buyer received it.

Verified by executionVariant 1 · 11 checks per implementationDownload source bundle ↓JSON ↗

ROOT CAUSE

Self-assignment consumes award capacity as if a different buyer received it.

THE FAILURE

Self-assignment consumes award capacity as if a different buyer received it.

Unsuccessful approach: The attempted repair uses 0; the explicit regression cases demonstrate that this still violates the stipulated auction rule.

Case contract

A winning bidder assigns an award subject to buyer, seller and assignee consents. Assignment transfers only undelivered units and the matching unpaid obligation. Partial assignments preserve original provenance and do not release an original guarantee without novation. Named decision self-assignment-noop: For self assignment noop, apply the stipulated decision 0 if x["assignee"]==x["original"] else x["assign"].

Why this case matters

Offline administrative auction model for software failure analysis.

1 / The failure

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    v0 = x["seller_consents"] and x["buyer_consents"] and x["assignee_accepts"]
    v1 = min(x["assign"],max(0,x["award"]-x["delivered"]))
    v2 = max(0,x["award"]-x["delivered"]-x["assign"])
    v3 = min(x["assign"],max(0,x["award"]-x["paid_units"]))
    v4 = 0 if x["novation"] and x["completed"] else x["guarantee"]
    v5 = x["assignee"] in x["approved_assignees"] and x["assignee"] not in x["banned"]
    v6 = x["assign"]
    v7 = [x["new_id"],x["source_id"],x["original"],x["assignee"]]
    v8 = x["new_id"]!=x["source_id"]
    v9 = x["escrow"]>=x["required_escrow"]+x["assignment_fee"]
    return {'three-party-consent':v0,'undelivered-assignment-cap':v1,'remaining-original-obligation':v2,'assigned-unpaid-units':v3,'guarantee-novation':v4,'assignee-admission':v5,'self-assignment-noop':v6,'assignment-provenance':v7,'distinct-assignment-id':v8,'escrow-and-assignment-fee':v9}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [('self assignment', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'a', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['a', 'b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [0, 0, 0, 0, 0]), ('approved banned assignee / self assignment', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'a', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['a', 'b'], 'banned': ['b'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [0, 0, 0, 0, 0]), ('normal contract', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('approved banned assignee', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['b'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('unapproved unbanned assignee', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': [], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('fee exceeds residual escrow', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 9, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('all consents', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': True, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('seller refuses', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': False, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('buyer refuses', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': False, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('overassignment', {'award': 8, 'delivered': 3, 'assign': 7, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [7, 14, 21, 28, 35]), ('all delivered', {'award': 8, 'delivered': 8, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20])]
def vary(value):
 if type(value) is int: return value*N
 if isinstance(value,list): return [vary(v) for v in value]
 if isinstance(value,dict): return {k:(v if k in ['count', 'delivery_index', 'disputed', 'maximum_set', 'minimum_set', 'stage', 'threshold', 'waived'] else vary(v)) for k,v in value.items()}
 return value
for label, request, expected in fixtures:
 check(label, solve(vary(request))['self-assignment-noop'], expected[N-1])
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
self assignment40Failed
approved banned assignee / self assignment40Failed
normal contract44Passed
approved banned assignee44Passed
unapproved unbanned assignee44Passed
fee exceeds residual escrow44Passed
all consents44Passed
seller refuses44Passed
buyer refuses44Passed
overassignment77Passed
all delivered44Passed

SHA-256 / db69a95ee2b971c445c2f00b352560858f8bac73661c69583be14a6ee9a4a40b

2 / The unsuccessful fix

Exit 1
"""Failure Map reference implementation. Python standard library only."""
import json

N = 1
observations = []
def solve(x):
    v0 = x["seller_consents"] and x["buyer_consents"] and x["assignee_accepts"]
    v1 = min(x["assign"],max(0,x["award"]-x["delivered"]))
    v2 = max(0,x["award"]-x["delivered"]-x["assign"])
    v3 = min(x["assign"],max(0,x["award"]-x["paid_units"]))
    v4 = 0 if x["novation"] and x["completed"] else x["guarantee"]
    v5 = x["assignee"] in x["approved_assignees"] and x["assignee"] not in x["banned"]
    v6 = 0
    v7 = [x["new_id"],x["source_id"],x["original"],x["assignee"]]
    v8 = x["new_id"]!=x["source_id"]
    v9 = x["escrow"]>=x["required_escrow"]+x["assignment_fee"]
    return {'three-party-consent':v0,'undelivered-assignment-cap':v1,'remaining-original-obligation':v2,'assigned-unpaid-units':v3,'guarantee-novation':v4,'assignee-admission':v5,'self-assignment-noop':v6,'assignment-provenance':v7,'distinct-assignment-id':v8,'escrow-and-assignment-fee':v9}
def check(label, actual, expected):
    observations.append({"check": label, "actual": actual, "expected": expected, "passed": actual == expected})
fixtures = [('self assignment', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'a', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['a', 'b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [0, 0, 0, 0, 0]), ('approved banned assignee / self assignment', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'a', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['a', 'b'], 'banned': ['b'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [0, 0, 0, 0, 0]), ('normal contract', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('approved banned assignee', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['b'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('unapproved unbanned assignee', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': [], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('fee exceeds residual escrow', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 9, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('all consents', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': True, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('seller refuses', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': False, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('buyer refuses', {'award': 8, 'delivered': 3, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': False, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20]), ('overassignment', {'award': 8, 'delivered': 3, 'assign': 7, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [7, 14, 21, 28, 35]), ('all delivered', {'award': 8, 'delivered': 8, 'assign': 4, 'original': 'a', 'assignee': 'b', 'seller_consents': True, 'buyer_consents': True, 'assignee_accepts': False, 'paid_units': 2, 'guarantee': 10, 'novation': False, 'approved_assignees': ['b'], 'banned': ['c'], 'assignments': [['b', 2], ['c', 1]], 'source_id': 'w1', 'new_id': 'w2', 'completed': False, 'escrow': 12, 'required_escrow': 8, 'assignment_fee': 2}, [4, 8, 12, 16, 20])]
def vary(value):
 if type(value) is int: return value*N
 if isinstance(value,list): return [vary(v) for v in value]
 if isinstance(value,dict): return {k:(v if k in ['count', 'delivery_index', 'disputed', 'maximum_set', 'minimum_set', 'stage', 'threshold', 'waived'] else vary(v)) for k,v in value.items()}
 return value
for label, request, expected in fixtures:
 check(label, solve(vary(request))['self-assignment-noop'], expected[N-1])
print(json.dumps({"observations": observations, "passed": all(x["passed"] for x in observations)}, ensure_ascii=False))
raise SystemExit(0 if all(x["passed"] for x in observations) else 1)
Boundary fixtureActualExpectedOutcome
self assignment00Passed
approved banned assignee / self assignment00Passed
normal contract04Failed
approved banned assignee04Failed
unapproved unbanned assignee04Failed
fee exceeds residual escrow04Failed
all consents04Failed
seller refuses04Failed
buyer refuses04Failed
overassignment07Failed
all delivered04Failed

SHA-256 / 5c488d7768ef1f871d95e1af84f40ca9da2bee6a7468e3b18d55710534aef056

HELD IN THE MEMBER ARCHIVE

The verified repair and its recorded checks are member-only.

This mechanism has 11 recorded checks per implementation. The open-access tier publishes the failure and the unsuccessful fix; the repaired source that passes every check, and the observations that prove it, are available to members.

Every case sharing this mechanism uses the same contract and the same repair, so this one record is held back for all of them.

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Verification & scope

Stipulated toy auction rules, not a venue specification, financial advice, optimization claim, or live trading implementation. Nonnegative integer inputs and internally aligned list fields only. This reproducer isolates one failure mechanism. Results cover the supplied fixtures. Variants within a family share a test contract and should remain grouped when constructing evaluation splits. Related mechanisms with a shared evaluation_group must also remain together; these controlled models are not independent production incidents.

Observations recorded using Python 3.12.14 at 2026-09-29T14:46:20.728384+00:00.

Case digest / e24ddce12983ddec8a3d78e0657adc0f233840d1754ff8fa92a92022b43098ec