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{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"=== BEGIN ARTIFACT FEATURE-Arithmetic-And-Structural-Operators.md ===\n# FEATURE: Arithmetic and Structural Operators\n\n| Field | Value |\n|-------------|-------|\n| Version | 20260822 V1 |\n| Description | Implements jq arithmetic, structural combination, repetition, splitting, and negation operators. |\n| Depends On | FEATURE-Type-And-Numeric-Primitives.md, FEATURE-Composition-And-Cartesian-Evaluation.md, FEATURE-Errors-And-Optional-Evaluation.md |\n| Provides | +, -, *, /, %, unary negation, recursive object merge, string repetition and splitting |\n| Consumes | jq value model, generator evaluation, comparison semantics |\n\n## Intent\n\nImplement jq's typed arithmetic and structural operators. Operators evaluate both operands as filters over the same input and preserve Cartesian generator behavior.\n\n## Behavior\n\n- Numbers use jq-compatible arithmetic.\n- Arrays concatenate with `+` and subtract matching elements with `-`.\n- Strings concatenate with `+`, repeat with numeric `*`, and split with `/`.\n- Objects merge with `+`; `*` recursively merges nested objects.\n- `null` is additive with any value.\n- Division and remainder by zero raise runtime errors.\n- Unary negation accepts numbers only and preserves partial output semantics.\n\n## Programmatic Acceptance\n\n=== AC flow-001-conformance ===\nIntent: The arithmetic and structural operator implementation passes representative declared arithmetic and structural behaviors.\nSuite: scoped\nRequires: executable=python3; scope=test\n\nimport json\nimport os\nimport subprocess\n\njq = os.path.join(os.getcwd(), \"jq\")\n\naddition = subprocess.run(\n [jq, \"-c\", \"1 + 2\"],\n capture_output=True,\n text=True,\n)\nassert addition.returncode == 0\nassert json.loads(addition.stdout) == 3\n\nmerge = subprocess.run(\n [jq, \"-c\", '{\"a\":{\"x\":1}} * {\"a\":{\"y\":2}}'],\n capture_output=True,\n text=True,\n)\nassert merge.returncode == 0\nassert json.loads(merge.stdout) == {\"a\": {\"x\": 1, \"y\": 2}}\n\n=== END AC flow-001-conformance ===\n\n## User Acceptance\n\n- None.\n\n## Guardrails\n\n- Do not perform implicit cross-type conversions.\n- Preserve operator precedence, generator multiplicity, and runtime errors.\n- Do not shell out to another jq implementation.\n=== END ARTIFACT ===\n=== BEGIN ARTIFACT FEATURE-Boolean-And-Alternative-Operators.md ===\n# FEATURE: Boolean and Alternative Operators\n\n| Field | Value |\n|-------------|-------|\n| Version | 20260822 V1 |\n| Description | Implements jq Boolean operators, truthiness-aware alternatives, and defined-or assignment. |\n| Depends On | FEATURE-Truthiness-And-Comparison.md, FEATURE-Arithmetic-And-Structural-Operators.md |\n| Provides | and, or, not, //, //= |\n| Consumes | jq truthiness, generator core, arithmetic operators |\n\n## Intent\n\nImplement strict Boolean operators and jq's value-selection alternative operators. Boolean operators produce Boolean values, while `//` selects non-null and non-false generator outputs.\n\n## Behavior\n\n- Only `false` and `null` are falsey.\n- `and`, `or`, and `not` produce Boolean results with generator-valued operands evaluated according to jq semantics.\n- `a // b` emits all non-false, non-null values from `a`; otherwise it evaluates `b`.\n- `//=` updates defined-or paths using jq assignment semantics.\n- Short-circuiting must prevent unnecessary error-producing branches where jq requires it.\n\n## Programmatic Acceptance\n\n=== AC flow-002-conformance ===\nIntent: The Boolean and alternative operator implementation passes representative declared Boolean and fallback behaviors.\nSuite: scoped\nRequires: executable=python3; scope=test\n\nimport json\nimport os\nimport subprocess\n\njq = os.path.join(os.getcwd(), \"jq\")\n\nboolean = subprocess.run(\n [jq, \"-c\", \"true and (1 == 1)\"],\n capture_output=True,\n text=True,\n)\nassert boolean.returncode == 0\nassert json.loads(boolean.stdout) is True\n\nalternative = subprocess.run(\n [jq, \"-c\", \"null // 7\"],\n capture_output=True,\n text=True,\n)\nassert alternative.returncode == 0\nassert json.loads(alternative.stdout) == 7\n\n=== END AC flow-002-conformance ===\n\n## User Acceptance\n\n- None.\n\n## Guardrails\n\n- Do not treat empty strings, arrays, or objects as falsey.\n- Preserve generator multiplicity and alternative fallback semantics.\n- Do not evaluate fallback branches when jq semantics select the left stream.\n=== END ARTIFACT ===\n=== BEGIN ARTIFACT FEATURE-Collection-Transformations.md ===\n# FEATURE: Collection Transformations\n\n| Field | Value |\n|-------------|-------|\n| Version | 20260822 V1 |\n| Description | Provide jq collection transformation builtins with generator-preserving behavior. |\n| Depends On | FEATURE-Reductions-And-Iteration-Control.md, FEATURE-Deletion-And-Assignment.md, FEATURE-Type-And-Numeric-Primitives.md |\n| Provides | map, map_values, select, add, flatten, transpose, combinations, walk |\n| Consumes | generator evaluator, operators, path mutation |\n\n## Workflow\n\nCollection filters transform arrays and objects while preserving jq stream order and multiplicity. Implement `map`, `map_values`, `select`, `add`, `flatten`, `transpose`, `combinations`, and recursive `walk` using the established evaluator and immutable update semantics. Empty generators, nested arrays, jagged matrices, and recursive values must follow the manual and `sources/builtin.jq`.\n\n## Programmatic Acceptance\n\n=== AC data-001-conformance ===\nIntent: The collection transformation implementation passes representative declared map and flatten behaviors.\nSuite: scoped\nRequires: executable=python3; scope=test\n\nimport json\nimport os\nimport subprocess\n\njq = os.path.join(os.getcwd(), \"jq\")\n\nmapped = subprocess.run(\n [jq, \"-c\", \"map(. * 2)\"],\n input=\"[1,2,3]\",\n capture_output=True,\n text=True,\n)\nassert mapped.returncode == 0\nassert json.loads(mapped.stdout) == [2, 4, 6]\n\nflattened = subprocess.run(\n [jq, \"-c\", \"flatten\"],\n input=\"[[1],[2,3]]\",\n capture_output=True,\n text=True,\n)\nassert flattened.returncode == 0\nassert json.loads(flattened.stdout) == [1, 2, 3]\n\n=== END AC data-001-conformance ===\n\n## User Acceptance\n\n- None.\n\n## Guardrails\n\n- Preserve generator ordering, multiplicity, and backtracking.\n- Do not mutate input values in place.\n- Use only Python standard-library facilities.\n=== END ARTIFACT ===\n=== BEGIN ARTIFACT FEATURE-Complex-Assignment-Edges.md ===\n# FEATURE: Complex Assignment Edges\n\n| Field | Value |\n|-------------|-------|\n| Version | 20260822 V1 |\n| Description | Defines edge-case behavior for iterated, empty, fractional, invalid, and deep assignments. |\n| Depends On | FEATURE-Deletion-And-Assignment.md, FEATURE-Path-Primitives.md |\n| Provides | Iterated path assignment, empty-update deletion, array expansion, assignment depth protections |\n| Consumes | Assignment operators, path primitives |\n\n## Purpose\n\nComplete assignment semantics for complex path expressions and adversarial boundary cases.\n\n## Implementation Requirements\n\n- Apply assignments across iterated and multi-path selections in generator order.\n- Treat an update producing `empty` as deletion.\n- Expand arrays with `null` values when setting beyond their current length.\n- Handle negative, fractional, NaN, and out-of-range indexes according to jq semantics.\n- Reject invalid string updates and invalid array path components with runtime errors.\n- Enforce assignment path depth limits.\n- Preserve partial output behavior when a later assignment fails.\n\n## Programmatic Acceptance\n\n=== AC complex-assignment-conformance ===\nIntent: The complex assignment implementation passes representative declared path update and empty-update deletion behaviors.\nSuite: scoped\nRequires: executable=python3; scope=test\n\nimport json\nimport os\nimport subprocess\n\njq = os.path.join(os.getcwd(), \"jq\")\n\nupdated = subprocess.run(\n [jq, \"-c\", \".a |= . + 1\"],\n input='{\"a\":1}',\n capture_output=True,\n text=True,\n)\nassert updated.returncode == 0\nassert json.loads(updated.stdout) == {\"a\": 2}\n\ndeleted = subprocess.run(\n [jq, \"-c\", \"del(.a)\"],\n input='{\"a\":1,\"b\":2}',\n capture_output=True,\n text=True,\n)\nassert deleted.returncode == 0\nassert json.loads(deleted.stdout) == {\"b\": 2}\n\n=== END AC complex-assignment-conformance ===\n\n## User Acceptance\n\n- None.\n\n## Guardrails\n\n- Do not silently clamp invalid assignment indexes when jq specifies an error.\n- Do not discard valid outputs produced before a later runtime failure.\n- Do not exceed configured path depth limits through recursive or iterated assignments.\n=== END ARTIFACT ===\n=== BEGIN ARTIFACT FEATURE-Composition-And-Cartesian-Evaluation.md ===\n# FEATURE: Composition and Cartesian Evaluation\n\n| Field | Value |\n|-------------|-------|\n| Version | 20260822 V1 |\n| Description | Implement jq composition, Cartesian argument evaluation, collection, object construction, and binary filter composition. |\n| Depends On | FEATURE-Generator-Core.md, FEATURE-Filter-Grammar.md |\n| Provides | Pipes, commas, Cartesian arguments, arrays, objects, and binary filter composition |\n| Consumes | Generator core, parsed expressions, JSON value model |\n\n## Scope\n\nComposition shall feed every output of a left-hand filter into the right-hand filter, concatenate comma streams in order, evaluate multi-output arguments as Cartesian products, and collect all generated values for arrays and objects. Binary operators shall receive independently evaluated filter results according to jq semantics.\n\n## Programmatic Acceptance\n\n=== AC composition-conformance ===\nIntent: The composition implementation passes representative declared pipe, comma, array, and object behaviors.\nSuite: scoped\nRequires: executable=python3; scope=test\n\nimport json\nimport os\nimport subprocess\n\njq = os.path.join(os.getcwd(), \"jq\")\n\npiped = subprocess.run(\n [jq, \"-c\", \".[] | . * 2\"],\n input=\"[1,2]\",\n capture_output=True,\n text=True,\n)\nassert piped.returncode == 0\nassert [json.loads(line) for line in piped.stdout.splitlines()] == [2, 4]\n\nconstructed = subprocess.run(\n [jq, \"-c\", \"[1,2]\"],\n capture_output=True,\n text=True,\n)\nassert constructed.returncode == 0\nassert json.loads(constructed.stdout) == [1, 2]\n\n=== END AC composition-conformance ===\n\n=== AC composition-cartesian-streams ===\nIntent: The composition implementation preserves comma stream ordering and Cartesian products.\nSuite: scoped\nRequires: executable=python3; scope=test\n\nimport json\nimport os\nimport subprocess\n\njq = os.path.join(os.getcwd(), \"jq\")\n\nstreams = subprocess.run(\n [jq, \"-c\", \"1,2,3\"],\n capture_output=True,\n text=True,\n)\nassert streams.returncode == 0\nassert [json.loads(line) for line in streams.stdout.splitlines()] == [1, 2, 3]\n\ncartesian = subprocess.run(\n [jq, \"-c\", \"[1,2] as $a | [3,4] as $b | [$a,$b]\"],\n capture_output=True,\n text=True,\n)\nassert cartesian.returncode == 0\nassert json.loads(cartesian.stdout) == [[1, 3], [1, 4], [2, 3], [2, 4]]\n\n=== END AC composition-cartesian-streams ===\n\n## User Acceptance\n\n- None.\n\n## Guardrails\n\n- Preserve left-to-right generator ordering.\n- Evaluate every multi-output argument combination required by jq.\n- Array and object construction must collect generated values without dropping or duplicating outputs.\n=== END ARTIFACT ==="}}
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