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Every graph operation is declared `private`, carries a symbol name of the form `@name`, and is written with an explicit parenthesised operand list, an explicit arrow result list, and an attribute dictionary before its body region.\n3. The first operand of every graph is the execution value `%start` of type `none`, and it precedes all other operands.\n4. Every graph carries both an `input_segments = array` and a `result_segments = array` attribute, whose entries agree with the actual signature: the input segments are (number of leading non-memref operands including `%start`, 0, number of memref operands), and the result segments are (number of non-`none` results, 0, 0).\n5. Memory is supplied only as graph-level memref-typed parameters; a program never creates memory inside a body, so `memref.alloca`, `memref.alloc`, `memref.get_global`, module-level globals, LLVM pointers, and `builtin.unrealized_conversion_cast` are all excluded.\n6. Every memref parameter has a one-dimensional (canonical linear) memref type with a scalar element type, either statically sized or with a single dynamic `?` dimension.\n7. Every graph terminates with `dataflow.graph.return` whose first returned value is the incoming `%start : none`, followed by exactly the graph's declared non-`none` results with matching types.\n8. All memory access is normalised to scalar `memref.load` and `memref.store` with exactly one subscript operand of type `index`, and the stated memref type on the operation matches the declared type of the accessed parameter.\n9. The subscript value is always produced by `arith.index_cast` from an `i64` value to `index` within the same loop body, before any access that uses it.\n10. Every memory operation lies inside at least one `scf.for` loop whose induction variable, bounds, and step are `i64` and whose bound/step operands are graph parameters (or an enclosing induction variable), making loop iteration order source-sequential.\n11. Every emitted loop body performs at least one `memref.store`, so each loop carries a memory-order dependence across iterations; read-only loop bodies are outside the described domain.\n12. Per-iteration addresses are affine functions of the induction variable alone (`i`, `i*step`, `i+lb`), so each iteration touches a distinct element and the loop visibly \"appears parallelizable\".\n13. No parallel control flow appears: `scf.parallel` and `scf.forall` are never present.\n14. Structured control flow is limited to source-sequential `scf.for` and `scf.if`, which may be nested inside one another.\n15. No control-flow construct ever carries a memref-typed result or a memref-typed loop-carried value; loop-carried state is only a scalar of the memref element type, and `scf.if` regions produce no results and have no `else` region.\n16. A loop with loop-carried state declares `iter_args(%state = %init) -> (T) : i64` and terminates its body with `scf.yield` of a value of type `T`; loops without results carry no explicit yield.\n17. Arithmetic operands and results agree in type: the value combined with a loaded element has the memref element type, and comparisons are on `i64` operands.\n18. No residual raw LLVM memory operation, atomic operation, memory fence, or memory intrinsic occurs anywhere in a program.\n19. Programs are pure pre-lowering source: they never mention dataflow actors, carry rings, channel plumbing, or any expected lowered output.\n20. All SSA values within a graph are defined exactly once and before use, and value names are unique within their graph.\n21. Graph symbol names are unique across the whole program.\n\n## Sampling conventions\n\n1. The program contains between 1 and 3 graphs inclusive, chosen uniformly by `random.randint(1, 3)`, and graphs are emitted by right recursion driven by a counter `I` compared against `COUNT`.\n2. Exactly six fixed graph skeletons exist and each graph independently picks one: single-memref read-modify-write loop, write-only loop, loop with a scalar `iter_arg`, loop containing a guarded `scf.if` store, doubly-nested loop, and a two-memref copy loop.\n3. Graph names are a shape-specific prefix concatenated with the graph's ordinal index: `rw_`, `wo_`, `acc_`, `guard_`, `nest_`, `pair_` followed by `str(I)`, which makes names unique because the index advances per graph.\n4. The memref/element-type pair is chosen from a small per-shape finite list: read-modify-write from `memref/i32`, `memref<16xi32>/i32`, `memref/i64`, `memref<32xi32>/i32`; write-only from `memref/i32`, `memref<64xi32>/i32`, `memref/f32`; `iter_arg` from `memref/i32`, `memref<128xi32>/i32`; guarded from `memref/i32`, `memref<16xi32>/i32`; nested from `memref/i32`, `memref<256xi32>/i32`; two-memref from `memref/i32`, `memref<16xi32>/i32`.\n5. Only the element types `i32`, `i64`, and `f32` ever appear; `i64` elements occur only in the read-modify-write shape and `f32` elements only in the write-only shape, which performs no arithmetic on the element.\n6. Static memref extents are drawn only from the fixed set 16, 32, 64, 128, 256, and dynamic memrefs always have exactly one `?` dimension.\n7. Ranks above one, multi-dimensional subscripts, strided/layout attributes, and memory-space attributes are never emitted.\n8. Three fixed address forms are offered wherever `index_form` is used: a direct `arith.index_cast` of `%i`, a `%scaled = arith.muli %i, %step` followed by a cast, and a `%shifted = arith.addi %i, %lb` followed by a cast; the resulting `index` value is always named `%idx`.\n9. The nested-loop shape does not use `index_form`; it always emits the direct cast of the inner induction variable into a value named `%inner_idx`.\n10. The combining operation in the read-modify-write shape is chosen between `arith.addi` and `arith.muli` only; the accumulate shape always uses `arith.addi`, and the nested shape always uses `arith.addi`.\n11. The guarded shape always uses the single predicate `arith.cmpi slt, %i, %limit : i64` with `%limit` taken as a graph parameter, and never emits an `else` region.\n12. Parameter names are fixed per shape and drawn from `%start`, `%lb`, `%ub`, `%step`, `%value`, `%init`, `%limit`, `%a`, `%b`; loop induction variables are `%i` and, in the nested shape, `%outer`.\n13. Body value names are a fixed one-letter shape prefix (`b`, `w`, `a`, `g`, `n`, `p`) concatenated with a role suffix (`loaded`, `next`, `sum`, `cond`), plus the fixed names `%idx`, `%scaled`, `%shifted`, `%inner_idx`, `%state`, `%total`.\n14. No `arith.constant` is ever emitted; every scalar operand originates from a graph parameter, an induction variable, or a previously defined body value.\n15. The attribute strings are constants per shape: `input_segments = array` for the read-modify-write, write-only, accumulate, and nested shapes, `array` for the guarded shape, and `array` for the two-memref shape; `result_segments` is `array` except `array` for the accumulate shape.\n16. The accumulate shape is the only one with a non-empty result list, returning exactly one scalar result of the element type produced by a single `iter_arg`; no shape uses more than one loop-carried value.\n17. Loop nesting depth never exceeds two, and the nested shape always uses the triangular bounds `%lb to %outer` with the outer `%step` for the inner loop.\n18. Each loop body contains at most one load and one store; the write-only shape stores the parameter `%value` directly with no load, and the two-memref shape loads from `%b` and stores to `%a` at the identical index.\n19. Although arbitrary nesting including `scf.while` is admissible in the described domain, `scf.while` is never emitted, and `scf.if` appears only in the guarded shape.\n20. 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