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examples/inflate.aup, codes read a bit at a time from canonical counts as zlib's puff.c): 640 streams zlib made (6,488,480 bytes: random bytes, words, runs and repeats 32,768 back; levels 0, 1, 6, 9 and zlib's five strategies, so stored, fixed and dynamic blocks) inflated to the original's bytes on the three paths, the paths' outputs the same bytes; 240 damaged streams (cut, a bit flipped) read as inflate.py (the Python reference) reads them, 165 refused by both and 75 the same bytes; module_specs in make check: 144 streams on the three paths, 21 cut ones failing and leaving the last bytes; bars: written (no new opcode), three workarounds (lists passed in records: a fn takes no list; the output a list of one: a bytes value is no state; a block's tables built in a fn: a let's list lives in the handler's own block), 132 lines against Python's 81, 1,152 ns an output byte against the same algorithm in C 10.7 (108x) and zlib 3.5 (329x), pure Python 1,214; 191 instructions a byte (a block fn called for each bit was 246 and 1,553 ns: small block fns' inlining is 2c's leftover); the four timing tools' message calls fixed for 4b's API (no keys); CHECKPOINT's direction row
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of states, inputs, message fields, views (the columns the load makes among them, counted from the view and record entries first), handlers, records, record fields, functions and signature items point into one block the load lays out (lay_tables) and pure_module_release gives back, so PureModule is 2,752 bytes, not 24,320; a sanitized build poisons 16 bytes between tables, so reading past one is caught (none was); limits as they were; a test and five of research 044's timers gave the load a module never zeroed (it gives back what one holds), now zeroed; counts: b38 against b37 with batches within 0.25%, without batches matmul -0.45%, join +0.36%, knapsack +0.28%, BFS -0.25%; the bank's queries (s37 and s38 on one aup module in turns, three each) field -0.68%, found -0.51%, large -0.47%, the rest -0.11% to -0.20%; 027's 4f designed in four steps and 4f-1 as made
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descent (aup's examples/json_tree.aup: value(d, i) -> Json, number giving the value and where it ends, each call's own let's lists, string's escapes joined by char(u), a depth-first walk passing items as values) against Python's reading walked so: JSONTestSuite's 95 y_ taken alike, no n_ taken, 2b's 6 i_ taken (a lone surrogate refused by char as encoding); 100,000 and 50,000 deep refused as memory (the frames fill the event's room, 0.2 s), 30,000 deep taken (past Python's json); 300 random documents alike; in make check (module_specs' digest now depth first, three paths); 142 lines against the same design's 105 in Python (json_rec.py; the bar missed: 24 lines of declarations, 23 of braces), 46 times cJSON's time and 1.6 times plain Python's (600 ns a byte, 248 Pure instructions; 71% in the steps, about 10% in calls, 66,000 calls a document, most of them small block fns like skip); characters against Python's ord in aup's check; probes: p5-chars compiles, p4-rec (a view calling itself) refused; instruction counts: the workloads' modules the same, batches within 0.001% of 2b (BFS -0.21%), the executor alone -0.001% to +0.30%, the bank's queries -0.30% to +0.11% (four runs each; bar 1%); json_rec_time.c (cJSON, a depth-first digest compared first); CHECKPOINT's direction row through 2c
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