diff --git a/dist/datamodel/parser/BinarySlddParser.d.ts.map b/dist/datamodel/parser/BinarySlddParser.d.ts.map index 80fd5cb..631b39f 100644 --- a/dist/datamodel/parser/BinarySlddParser.d.ts.map +++ b/dist/datamodel/parser/BinarySlddParser.d.ts.map @@ -1 +1 @@ -{"version":3,"file":"BinarySlddParser.d.ts","sourceRoot":"","sources":["../../../src/datamodel/parser/BinarySlddParser.ts"],"names":[],"mappings":"AA+CA,OAAO,EAAY,KAAK,YAAY,EAAE,MAAM,mBAAmB,CAAC;AAuChE;;;;;;;;;;;;;;;;;;;;;;GAsBG;AACH,wBAAgB,SAAS,CAAC,SAAS,EAAE,MAAM,GAAG,MAAM,EAAE,CAkBrD;AAED;;;;;;;;;;;;GAYG;AACH,wBAAgB,eAAe,CAC7B,WAAW,EAAE,WAAW,EACxB,QAAQ,CAAC,EAAE,YAAY,EAAE,GACxB,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAmBzB;AAQD,wBAAgB,oBAAoB,CAClC,SAAS,EAAE,MAAM,EACjB,WAAW,EAAE,MAAM,CAAC,MAAM,EAAE,UAAU,CAAC,EACvC,QAAQ,CAAC,EAAE,YAAY,EAAE,GACxB,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAwIzB;AA0UD,wBAAgB,oBAAoB,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,EAAE,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,EAAE,CAExE"} \ No newline at end of file +{"version":3,"file":"BinarySlddParser.d.ts","sourceRoot":"","sources":["../../../src/datamodel/parser/BinarySlddParser.ts"],"names":[],"mappings":"AA+CA,OAAO,EAAY,KAAK,YAAY,EAAE,MAAM,mBAAmB,CAAC;AAuChE;;;;;;;;;;;;;;;;;;;;;;GAsBG;AACH,wBAAgB,SAAS,CAAC,SAAS,EAAE,MAAM,GAAG,MAAM,EAAE,CAkBrD;AAED;;;;;;;;;;;;GAYG;AACH,wBAAgB,eAAe,CAC7B,WAAW,EAAE,WAAW,EACxB,QAAQ,CAAC,EAAE,YAAY,EAAE,GACxB,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAmBzB;AAQD,wBAAgB,oBAAoB,CAClC,SAAS,EAAE,MAAM,EACjB,WAAW,EAAE,MAAM,CAAC,MAAM,EAAE,UAAU,CAAC,EACvC,QAAQ,CAAC,EAAE,YAAY,EAAE,GACxB,MAAM,CAAC,MAAM,EAAE,OAAO,CAAC,CAwIzB;AAkXD,wBAAgB,oBAAoB,CAAC,CAAC,EAAE,MAAM,EAAE,CAAC,EAAE,EAAE,IAAI,EAAE,MAAM,EAAE,GAAG,CAAC,EAAE,CAExE"} \ No newline at end of file diff --git a/dist/datamodel/parser/BinarySlddParser.js b/dist/datamodel/parser/BinarySlddParser.js index fb09278..18da1b6 100644 --- a/dist/datamodel/parser/BinarySlddParser.js +++ b/dist/datamodel/parser/BinarySlddParser.js @@ -463,6 +463,24 @@ function parseCellElement(el) { const dimension = el['@_Dimension'] || null; const text = getTextContent(el); if (isNumericClass(elClass)) { + // Complexity is asked BEFORE the shape, the way parsePropContent asks it one level + // up. A complex value states its elements as text whatever its shape + // (`IsComplex="1" Dimension="1*2">1.0+2.0i 3.0-4.0i`), and the shaped arm below + // reads a body with numericBody, whose parseFloat stops at the `+`: every complex + // ARRAY in a cell came back with its imaginary parts gone — `{[1+2i 3-4i]}` read + // `{[1 3]}` and re-serialized `Class="double" Dimension="1*2">1.0 3.0`, IsComplex + // and the imaginary parts both gone from the file. A complex SCALAR was right the + // whole time, because MATLAB writes one with no Dimension at all and it reached + // this check by falling past the shaped arm; that is the only reason the defect + // hid. `_dimensions` rides in the envelope because the cdata form is the only + // place a complex value's shape can be stated. + if (el['@_IsComplex'] === '1') { + const cdata = { _type: 'cdata', _value: text }; + if (dimension) { + cdata._dimensions = parseDims(dimension); + } + return cdata; + } if (dimension) { const dimParts = parseDims(dimension); const total = dimParts.reduce((a, b) => a * b, 1); @@ -478,9 +496,6 @@ function parseCellElement(el) { } return formatMatrix(rowMajor, dimParts, elClass); } - if (el['@_IsComplex'] === '1') { - return { _type: 'cdata', _value: text }; - } return formatTypedScalar(text, elClass); } if (elClass === 'logical') { @@ -498,7 +513,14 @@ function parseCellElement(el) { return charValue(text, dimension); } if (elClass === 'struct') { - return structValue(el.Element || [], [1, 1]); + // A struct ARRAY in a cell states its shape on the element itself + // (`` over one per element), + // exactly as a struct-array PROPERTY states it on the

— which is why the + // field and property sites were right and this one was not. The hardcoded 1x1 + // published a 1x2 as `<1x1 struct>`, and because the envelope's dims are what + // the writer spells, the save wrote one struct with the elements a level too + // deep: both of them unreadable on the next open. + return structValue(el.Element || [], dimension ? parseDims(dimension) : [1, 1]); } if (elClass === 'cell') { const childElements = el.Element || []; @@ -517,7 +539,25 @@ function parseCellElement(el) { if (childElements[0]['@_Class'] === 'string') { return parseStringValue(childElements[0], dimension); } - return parseElement(childElements[0]); + // An object ARRAY, spelled the way MATLAB spells one in a cell: a classless + // `` over one classed per object. That is the + // same shape parsePropContent hands to parseArrayOfElements a level up, so it goes + // to the same helper rather than to a fourth copy of the decision. Taking [0] + // alone was silent deletion, not a display bug: + // `{[Simulink.Parameter(1) Simulink.Parameter(2)]}` showed the FIRST parameter's + // value as though the cell held a scalar, and the second object was gone from the + // file after any save. + if (dimension && childElements.length > 1) { + return parseArrayOfElements(childElements, dimension, elClass || null); + } + if (childElements.length === 1) { + return parseElement(childElements[0]); + } + // Several objects with no declared shape. MATLAB does not write this, but a reader + // still has to pick a shape the writer can spell, and Nx1 is the one both the entry + // path and the property path pick for the same undimensioned case — parseElement on + // [0] would have dropped the rest. + return objectArrayValue(childElements, [childElements.length, 1]); } return text || ''; } diff --git a/dist/datamodel/parser/BinarySlddParser.js.map b/dist/datamodel/parser/BinarySlddParser.js.map index 72c4cb4..becbbc3 100644 --- a/dist/datamodel/parser/BinarySlddParser.js.map +++ b/dist/datamodel/parser/BinarySlddParser.js.map @@ -1 +1 @@ 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\ No newline at end of file diff --git a/src/datamodel/parser/BinarySlddParser.ts b/src/datamodel/parser/BinarySlddParser.ts index 98535d2..ac96ce8 100644 --- a/src/datamodel/parser/BinarySlddParser.ts +++ b/src/datamodel/parser/BinarySlddParser.ts @@ -538,6 +538,24 @@ function parseCellElement(el: XmlNode): unknown { const text = getTextContent(el); if (isNumericClass(elClass)) { + // Complexity is asked BEFORE the shape, the way parsePropContent asks it one level + // up. A complex value states its elements as text whatever its shape + // (`IsComplex="1" Dimension="1*2">1.0+2.0i 3.0-4.0i`), and the shaped arm below + // reads a body with numericBody, whose parseFloat stops at the `+`: every complex + // ARRAY in a cell came back with its imaginary parts gone — `{[1+2i 3-4i]}` read + // `{[1 3]}` and re-serialized `Class="double" Dimension="1*2">1.0 3.0`, IsComplex + // and the imaginary parts both gone from the file. A complex SCALAR was right the + // whole time, because MATLAB writes one with no Dimension at all and it reached + // this check by falling past the shaped arm; that is the only reason the defect + // hid. `_dimensions` rides in the envelope because the cdata form is the only + // place a complex value's shape can be stated. + if (el['@_IsComplex'] === '1') { + const cdata: Record = { _type: 'cdata', _value: text }; + if (dimension) { + cdata._dimensions = parseDims(dimension); + } + return cdata; + } if (dimension) { const dimParts = parseDims(dimension); const total = dimParts.reduce((a, b) => a * b, 1); @@ -553,9 +571,6 @@ function parseCellElement(el: XmlNode): unknown { } return formatMatrix(rowMajor, dimParts, elClass); } - if (el['@_IsComplex'] === '1') { - return { _type: 'cdata', _value: text }; - } return formatTypedScalar(text, elClass); } if (elClass === 'logical') { @@ -573,7 +588,14 @@ function parseCellElement(el: XmlNode): unknown { return charValue(text, dimension); } if (elClass === 'struct') { - return structValue(el.Element || [], [1, 1]); + // A struct ARRAY in a cell states its shape on the element itself + // (`` over one per element), + // exactly as a struct-array PROPERTY states it on the

— which is why the + // field and property sites were right and this one was not. The hardcoded 1x1 + // published a 1x2 as `<1x1 struct>`, and because the envelope's dims are what + // the writer spells, the save wrote one struct with the elements a level too + // deep: both of them unreadable on the next open. + return structValue(el.Element || [], dimension ? parseDims(dimension) : [1, 1]); } if (elClass === 'cell') { const childElements = el.Element || []; @@ -592,7 +614,25 @@ function parseCellElement(el: XmlNode): unknown { if (childElements[0]['@_Class'] === 'string') { return parseStringValue(childElements[0], dimension); } - return parseElement(childElements[0]); + // An object ARRAY, spelled the way MATLAB spells one in a cell: a classless + // `` over one classed per object. That is the + // same shape parsePropContent hands to parseArrayOfElements a level up, so it goes + // to the same helper rather than to a fourth copy of the decision. Taking [0] + // alone was silent deletion, not a display bug: + // `{[Simulink.Parameter(1) Simulink.Parameter(2)]}` showed the FIRST parameter's + // value as though the cell held a scalar, and the second object was gone from the + // file after any save. + if (dimension && childElements.length > 1) { + return parseArrayOfElements(childElements, dimension, elClass || null); + } + if (childElements.length === 1) { + return parseElement(childElements[0]); + } + // Several objects with no declared shape. MATLAB does not write this, but a reader + // still has to pick a shape the writer can spell, and Nx1 is the one both the entry + // path and the property path pick for the same undimensioned case — parseElement on + // [0] would have dropped the rest. + return objectArrayValue(childElements, [childElements.length, 1]); } return text || ''; } diff --git a/test/binaryWriteBackGate.test.ts b/test/binaryWriteBackGate.test.ts index 37bed07..8a3ecb5 100644 --- a/test/binaryWriteBackGate.test.ts +++ b/test/binaryWriteBackGate.test.ts @@ -405,6 +405,26 @@ describe('a string Parameter value survives the binary write-back', () => { // OBJECT is a classless `` wrapping the object's own ``. // That shape is why the tail was right for every other class, and why the fix lifts // `string` out of it rather than replacing it. +/** + * The `` block of one entry, from a chunk either MATLAB or we wrote, with its + * LastMod stamp dropped — a rebuild restamps a modified entry, by design, so the stamp is + * the one line that cannot match and the only one whose mismatch means nothing. + */ +function entryObject(xml: string, name: string): string { + const at = xml.indexOf('>' + name + '

'); + expect(at, name).toBeGreaterThan(-1); + const open = xml.lastIndexOf('', at) + ''.length); + return block.replace(/\s*

]*>[^<]*<\/P>/, ''); +} + +/** MATLAB's own chunk for a fixture, to diff a rebuild against. */ +function matlabChunk(fixture: string): string { + const p = fileURLToPath(new URL('./' + fixture, import.meta.url)); + const zip = unzipSync(new Uint8Array(readFileSync(p))); + return new TextDecoder().decode(zip['data/chunk0.xml']); +} + describe('defect 52: a string in a cell keeps its text, in the file as well as on screen', () => { // MATLAB's own value for each, as `getValue()` reports it in probe_cell_string.m's // read-back — `cell[1 1] of {string[1 1]}` and so on. @@ -415,26 +435,6 @@ describe('defect 52: a string in a cell keeps its text, in the file as well as o ['cMixed', '{1, "a", \'b\'}'], // beside a double and a char, neither of which it may become ]; - /** - * The `` block of one entry, from a chunk either MATLAB or we wrote, with its - * LastMod stamp dropped — a rebuild restamps a modified entry, by design, so the stamp is - * the one line that cannot match and the only one whose mismatch means nothing. - */ - function entryObject(xml: string, name: string): string { - const at = xml.indexOf('>' + name + '

'); - expect(at, name).toBeGreaterThan(-1); - const open = xml.lastIndexOf('', at) + ''.length); - return block.replace(/\s*

]*>[^<]*<\/P>/, ''); - } - - /** MATLAB's own chunk for a fixture, to diff a rebuild against. */ - function matlabChunk(fixture: string): string { - const p = fileURLToPath(new URL('./' + fixture, import.meta.url)); - const zip = unzipSync(new Uint8Array(readFileSync(p))); - return new TextDecoder().decode(zip['data/chunk0.xml']); - } - it('reads MATLAB\'s own bytes as strings, not as <1x1 string>', () => { const sldd = loadFile('../fixtures/cellstr_binary.sldd', 'cellstr_binary.sldd'); for (const [name, display] of CELLS) { @@ -534,3 +534,183 @@ describe('defect 52: a string in a cell keeps its text, in the file as well as o } }); }); + +// Defects 53, 54 and 55 — the generalization of 52, found by asking what ELSE the cell +// site is missing rather than what else is wrong with strings. `parseCellElement` is a +// hand-rolled copy of the class dispatch the entry site (`parseEntryValue`) and the +// property/field site (`parsePropContent`) share, so every idea added to the shared +// dispatch has to be added to the copy by hand — and the copy lagged by three: +// +// 53 a complex ARRAY in a cell lost its imaginary parts. The copy asked the SHAPE +// before the complexity, and a complex body (`1.0+2.0i 3.0-4.0i`) read through +// numericBody means parseFloat stopping at the `+`: `{[1+2i 3-4i]}` displayed +// `{[1 3]}` and went back out as `Class="double" Dimension="1*2">1.0 3.0`, with +// IsComplex gone too. A complex SCALAR was right the whole time — MATLAB writes one +// with NO Dimension, so it fell past the shaped arm and reached the IsComplex check. +// That control is the only reason this sat undetected. +// 54 a struct ARRAY in a cell was published as `<1x1 struct>`: the copy passed a +// hardcoded [1, 1] where the shared dispatch reads the element's own Dimension. The +// display was the harmless half — the envelope's dims are what the writer spells, so +// a save wrote ONE struct with the elements a level too deep and the next open found +// neither of them. +// 55 an object ARRAY in a cell showed only its first object, because the copy's tail +// took `childElements[0]`. `{[Simulink.Parameter(1) Simulink.Parameter(2)]}` read as +// though the cell held a scalar, and every object after the first was gone from the +// file on any save. +// +// All three are binary-only; the TEXT channel was right for all of them, which is this +// repo's recurring shape — two channels spelling one value independently. So the invariant +// is pinned BETWEEN the channels here, not per channel. +// +// The fix is one idea, not three: "a dimensioned element set", which the shared dispatch +// already had in `parseArrayOfElements`. `test/parity/matlab/probe_cell_arrays.m` records +// the three spellings MATLAB uses for it and wrote both fixtures. +describe('defects 53-55: an array inside a cell keeps its shape, its parts and its count', () => { + // MATLAB's own value for each, from probe_cell_arrays.m's read-back through + // `getValue()` — `cell[1 1]{double[1 2]=[1+2i 3-4i]}` and so on. + const DEFECTS: Array<[string, string]> = [ + ['cCplxArr', '{[1+2i 3-4i]}'], // 53, read `{[1 3]}` + ['cCplxCol', '{[1+2i; 3-4i]}'], // ... a column, to show the shape is not the trigger + ['cCplxNd', '{<2x2x2 double>}'], // ... and rank 3 + ['cStructArr', '{<1x2 struct>}'], // 54, read `{<1x1 struct>}` + ['cStructArr2D', '{<2x2 struct>}'], // ... 2-D, so the dims are read and not counted + ['cObjArr', '{<1x2 Simulink.Parameter>}'], // 55, read `{1}` — the first object alone + ]; + + // The 1x1 of each row above. Each was right BEFORE the fix, and each is why its defect + // was invisible; all three must still be right after it. + const CONTROLS: Array<[string, string]> = [ + ['cCplx', '{1+2i}'], // 53's control: no Dimension, so it reached the IsComplex check + ['cStruct', '{<1x1 struct>}'], // 54's: the hardcoded 1x1 happened to be the truth + ['cObj', '{5}'], // 55's: one child, so taking the first was taking all of them + ['cNd', '{<2x3x2 double>}'], // a REAL N-D array still takes the shaped arm + ['cStr', '{"a"}'], // and defect 52's case still gets lifted out of the tail + ]; + + it('reads MATLAB\'s own bytes as the values MATLAB wrote', () => { + const sldd = loadFile('../fixtures/cellarr_binary.sldd', 'cellarr_binary.sldd'); + for (const [name, display] of [...DEFECTS, ...CONTROLS]) { + expect(String(findEntry(sldd, name).displayValue), name).toBe(display); + } + + // The element rows, because an entry row is assembled FROM them: the class and the + // count are what the three defects destroyed, and a summary string can be right for + // the wrong reason. + const element = (name: string): any => findEntry(sldd, name).children[0]; + expect(element('cCplxArr').children.map((c: any) => String(c.displayValue))).toEqual([ + '1+2i', + '3-4i', + ]); + expect(element('cStructArr').children).toHaveLength(2); + expect(element('cStructArr2D').children).toHaveLength(4); + // Each object, and each object's own value — `{1}` was the first object's value shown + // as if it were the cell's, so the count is the assertion that fails without the fix. + expect(element('cObjArr').className).toBe('Simulink.Parameter'); + expect(element('cObjArr').children.map((c: any) => String(c.displayValue))).toEqual(['1', '2']); + }); + + it('and reads them the same way the TEXT channel does', () => { + // The invariant stated between the channels. Whole subtrees, not just the entry rows: + // 54 and 55 both left the entry row's SHAPE plausible while the contents underneath + // were wrong or missing. + const bin = loadFile('../fixtures/cellarr_binary.sldd', 'cellarr_binary.sldd'); + const txt = loadFile('../fixtures/cellarr_text.sldd', 'cellarr_text.sldd'); + + // The walk stops at a SCALAR struct, and nowhere else. That is the one place the two + // channels are known to disagree for a reason unrelated to cells: the build of MATLAB + // that wrote these fixtures no longer emits `_fields` in a text dictionary, and + // StructNode.parse builds a scalar struct's field children from `_fields` alone, so the + // text channel shows a scalar struct with no field rows while the binary channel + // derives the list from the element bag. Its own defect, its own blast radius (every + // struct in every current-MATLAB text .sldd), not asserted either way here. + const shown = (root: any, name: string): string[] => { + const out: string[] = []; + const walk = (n: any, path: string): void => { + out.push(path + ' ' + String(n.displayValue) + ' | ' + String(n.dataType ?? '') + ' | ' + String(n.className ?? '')); + if (n.dataType === 'struct' && String(n.displayValue) === '<1x1 struct>') { + return; + } + for (const c of n.children ?? []) { + walk(c, path + '/' + c.name); + } + }; + walk(findEntry(root, name), name); + return out; + }; + + for (const [name] of [...DEFECTS, ...CONTROLS]) { + expect(shown(bin, name), name).toEqual(shown(txt, name)); + } + // And a row count, so a walk that silently visited only the entry rows could not pass: + // the six defect cases have 32 rows between them (an entry and its element each, plus + // 2 + 2 + 8 numeric parts, 2 + 4 struct elements, and 2 objects). + expect(DEFECTS.reduce((n, [name]) => n + shown(bin, name).length, 0)).toBe(32); + }); + + it('writes each array back the way MATLAB spells it', () => { + // The silent half. Nothing is edited — before the fix, merely SAVING any of these + // dictionaries changed the data, so the rebuild probe_writeback_bin hands MATLAB is + // where the loss shows. + const xml = rebuildXml('fixtures/cellarr_binary.sldd'); + + // 53: the complexity and the shape on the same element, the parts as text. + expect(entryObject(xml, 'cCplxArr')).toContain( + '1.0+2.0i 3.0-4.0i', + ); + // The spelling the defect produced, which is the one that must never reach a file: + // a real array where MATLAB wrote a complex one. + expect(entryObject(xml, 'cCplxArr')).not.toContain('>1.0 3.0<'); + expect(entryObject(xml, 'cCplxCol')).toContain('IsComplex="1" Dimension="2*1"'); + expect(entryObject(xml, 'cCplxNd')).toContain('IsComplex="1" Dimension="2*2*2"'); + + // 54: the shape on the element that declares the class, one child per struct — and + // NOT a `Class="struct"` with no Dimension, which is what the hardcoded 1x1 wrote and + // what put the elements a level too deep. + expect(entryObject(xml, 'cStructArr')).toContain(''); + expect(entryObject(xml, 'cStructArr2D')).toContain(''); + expect(entryObject(xml, 'cStructArr')).not.toMatch(//); + + // 55: a CLASSLESS wrapper carrying the shape, over one classed object each. Counted, + // because the defect wrote a well-formed wrapper containing only the first object. + expect(entryObject(xml, 'cObjArr')).toContain(''); + expect(entryObject(xml, 'cObjArr').match(//g)).toHaveLength( + 2, + ); + }); + + it('byte for byte MATLAB\'s own, for every entry in the fixture', () => { + // The strongest form: the rebuilt entry IS MATLAB's bytes. One difference is normalized + // away, and it predates all three defects — on a 1x1 cell we write `Dimension="1*1"` + // where MATLAB writes no attribute at all. That is save churn, not data loss (an absent + // Dimension is read back as 1x1), and since every entry here is a 1x1 cell, leaving it + // unnormalized would mean comparing nothing instead of comparing everything. + const ours = rebuildXml('fixtures/cellarr_binary.sldd'); + const theirs = matlabChunk('fixtures/cellarr_binary.sldd'); + const churn = (block: string): string => + block.replace(/Class="cell" Dimension="1\*1"/g, 'Class="cell"'); + for (const [name] of [...DEFECTS, ...CONTROLS]) { + expect(churn(entryObject(ours, name)), name).toBe(churn(entryObject(theirs, name))); + } + // The sibling sites too, unnormalized: they were already right, and a fix that reached + // the shared helper would break them here rather than quietly. + for (const name of ['sObjArr', 'sStructArr', 'pCplxArr']) { + expect(entryObject(ours, name), name).toBe(entryObject(theirs, name)); + } + }); + + it('and the rebuilt chunk reopens as the values MATLAB wrote', () => { + // End to end: read MATLAB's file, write it back untouched, read that. This is the one + // that fails loudest without the fix — 54 and 55 both wrote chunks that PARSE, and + // reopen missing their data. + const xml = rebuildXml('fixtures/cellarr_binary.sldd'); + const uri = 'mem://cellarr-reopen'; + DataModel.removeDataSource(uri); + const reopened = DataModel.addDataSource(uri, parseBinarySlddParts(xml, {}), { + path: 'cellarr_binary.sldd', + }); + for (const [name, display] of [...DEFECTS, ...CONTROLS]) { + expect(String(findByName(reopened, name).displayValue), name).toBe(display); + } + expect(findByName(reopened, 'cObjArr').children[0].children).toHaveLength(2); + }); +}); diff --git a/test/fixtures/cellarr_binary.sldd b/test/fixtures/cellarr_binary.sldd new file mode 100644 index 0000000..7676b02 Binary files /dev/null and b/test/fixtures/cellarr_binary.sldd differ diff --git a/test/fixtures/cellarr_text.sldd b/test/fixtures/cellarr_text.sldd new file mode 100644 index 0000000..af77a73 --- /dev/null +++ b/test/fixtures/cellarr_text.sldd @@ -0,0 +1,571 @@ +{ + "__MW_TEXT_COREPROPERTIES__": { + "release": "R2027a" + }, + "__MW_TEXT_PARTS__": { + "__MW_TEXT_PART__/data/chunk0": { + "__MW_TEXT_content": { + "entries": [ + { + "name": "cCplx", + "metadata": { + "uuid": "f4c23b1b-73d2-455b-827c-7beff127f8c2", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.048729", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_type": "cdata", + "_value": " %)30 . 2 8 ( !@@ % \" $ ! 0 ) \" / _\"0 @ 0 \u0000\u0000\u0000" + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cCplxArr", + "metadata": { + "uuid": "197c91b2-3873-4f5f-ac37-2467b2186ac8", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.046755", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_type": "cdata", + "_value": " %)30 . 6 8 ( !@@ % \" $ \" 0 ) $ / _ \"$ ) $ ! $, \u0000\u0000" + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cCplxCol", + "metadata": { + "uuid": "b72a8c5a-b89d-47ab-9504-901a8789b182", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.047777", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_type": "cdata", + "_value": " %)30 . 6 8 ( !@@ % \" ( ! 0 ) $ / _ \"$ ) $ ! $, \u0000\u0000" + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cCplxNd", + "metadata": { + "uuid": "a1ea7615-6aa5-4c97-abe5-668183d26259", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.047898", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_type": "cdata", + "_value": " %)30 . P 8 ( !@@ % # ( \" @ ! D ! \\#\\ 0 A $$ 40 !A '$ @0 D ! \\#\\ 0 A $$ 40 !A '$ @0 \u0000\u0000\u0000" + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cNd", + "metadata": { + "uuid": "df796a76-91be-4fe2-b2eb-df2dfe98f294", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.049153", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_type": "cdata", + "_value": " %)30 . F 8 ( !@ % # ( # @ ! D !@ \\#\\ 0 A $$ 40 !A '$ @0 \") )$ F0 \"A \u0000" + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cObj", + "metadata": { + "uuid": "9e7d6ac3-e483-4cd7-8283-996eda82b975", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.048939", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_array_class": "Simulink.Parameter", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_id": "1", + "_properties": { + "CoderInfo": { + "_id": "2", + "_object_class": "Simulink.CoderInfo", + "_properties": { + "CSCPackageName": "Simulink", + "CustomAttributes": { + "_id": "3", + "_object_class": "SimulinkCSC.AttribClass_Simulink_Default", + "_properties": {} + }, + "CustomStorageClass": "Default", + "ParameterOrSignal": "Parameter", + "StorageClass": "Auto" + } + }, + "Complexity": "real", + "Dimensions": [ + 1, + 1 + ], + "Value": 5 + } + } + ] + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cObjArr", + "metadata": { + "uuid": "13de0d1c-1fac-4c76-ae3e-8aadb0781c61", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.048217", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_array_class": "Simulink.Parameter", + "_dimensions": [ + 1, + 2 + ], + "_elements": [ + { + "_id": "1", + "_properties": { + "CoderInfo": { + "_id": "2", + "_object_class": "Simulink.CoderInfo", + "_properties": { + "CSCPackageName": "Simulink", + "CustomAttributes": { + "_id": "3", + "_object_class": "SimulinkCSC.AttribClass_Simulink_Default", + "_properties": {} + }, + "CustomStorageClass": "Default", + "ParameterOrSignal": "Parameter", + "StorageClass": "Auto" + } + }, + "Complexity": "real", + "Dimensions": [ + 1, + 1 + ], + "Value": 1 + } + }, + { + "_id": "4", + "_properties": { + "CoderInfo": { + "_id": "5", + "_object_class": "Simulink.CoderInfo", + "_properties": { + "CSCPackageName": "Simulink", + "CustomAttributes": { + "_id": "6", + "_object_class": "SimulinkCSC.AttribClass_Simulink_Default", + "_properties": {} + }, + "CustomStorageClass": "Default", + "ParameterOrSignal": "Parameter", + "StorageClass": "Auto" + } + }, + "Complexity": "real", + "Dimensions": [ + 1, + 1 + ], + "Value": 2 + } + } + ] + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cStr", + "metadata": { + "uuid": "b98613ac-55ed-4787-bca7-e597b8217e91", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.049254", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + [ + "a" + ] + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cStruct", + "metadata": { + "uuid": "31042176-1572-44f9-94b1-793e7a8cb68b", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.048832", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_array_type": "Struct", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "a": 1 + } + ] + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cStructArr", + "metadata": { + "uuid": "d0497ada-59cd-4f26-bcd7-abb5bcdd059f", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.048006", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_array_type": "Struct", + "_dimensions": [ + 1, + 2 + ], + "_elements": [ + { + "a": 1 + }, + { + "a": 2 + } + ] + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "cStructArr2D", + "metadata": { + "uuid": "7bbf0c23-d549-4deb-bf6e-e271265118fc", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.048114", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Cell", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_array_type": "Struct", + "_dimensions": [ + 2, + 2 + ], + "_elements": [ + { + "a": 1 + }, + { + "a": 3 + }, + { + "a": 2 + }, + { + "a": 4 + } + ] + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "pCplxArr", + "metadata": { + "uuid": "58809ad7-f348-47a2-92f0-5fbf6c5a70f6", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.049818", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_class": "Simulink.Parameter", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "_id": "1", + "_properties": { + "CoderInfo": { + "_id": "2", + "_object_class": "Simulink.CoderInfo", + "_properties": { + "CSCPackageName": "Simulink", + "CustomAttributes": { + "_id": "3", + "_object_class": "SimulinkCSC.AttribClass_Simulink_Default", + "_properties": {} + }, 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"SimulinkCSC.AttribClass_Simulink_Default", + "_properties": {} + }, + "CustomStorageClass": "Default", + "ParameterOrSignal": "Parameter", + "StorageClass": "Auto" + } + }, + "Complexity": "real", + "Dimensions": [ + 1, + 1 + ], + "Value": 1 + } + }, + { + "_id": "4", + "_properties": { + "CoderInfo": { + "_id": "5", + "_object_class": "Simulink.CoderInfo", + "_properties": { + "CSCPackageName": "Simulink", + "CustomAttributes": { + "_id": "6", + "_object_class": "SimulinkCSC.AttribClass_Simulink_Default", + "_properties": {} + }, + "CustomStorageClass": "Default", + "ParameterOrSignal": "Parameter", + "StorageClass": "Auto" + } + }, + "Complexity": "real", + "Dimensions": [ + 1, + 1 + ], + "Value": 2 + } + } + ] + } + } + ], + "_mw_element_type": "MATLABArray" + } + }, + { + "name": "sStructArr", + "metadata": { + "uuid": "aa1f5512-c7ca-45a8-ae02-4b9ff5e6407d", + "namespace": "dacaf35e-55a5-454d-a7c1-93db038a210e", + "lastmod": "20260918T190407.049591", + "modifiedby": "weiwang", + "isderived": "0" + }, + "value": { + "_array_type": "Struct", + "_dimensions": [ + 1, + 1 + ], + "_elements": [ + { + "f": { + "_array_type": "Struct", + "_dimensions": [ + 1, + 2 + ], + "_elements": [ + { + "a": 1 + }, + { + "a": 2 + } + ] + } + } + ], + "_mw_element_type": "MATLABArray" + } + } + ], + "Dictionary References": [], + "AllowAccessBWS": false + } + } + } +} \ No newline at end of file diff --git a/test/parity/matlab/DESIGN.md b/test/parity/matlab/DESIGN.md index a432eac..4b269be 100644 --- a/test/parity/matlab/DESIGN.md +++ b/test/parity/matlab/DESIGN.md @@ -1952,6 +1952,81 @@ READER did with what MATLAB wrote. `binaryWriteBackGate.test.ts` excludes that one struct field from its cross-channel comparison and says why; nothing asserts the broken behaviour. +## Three more, from asking what ELSE the cell site was missing + +52 was found from a report. These three were found by taking its cause seriously and +asking the generalizing question: *why* was one site missing a branch its two siblings +had? Because **`parseCellElement` is a hand-rolled copy of the class dispatch the other +sites share, so every idea added to the shared dispatch has to be added to the copy by +hand — and the copy lags.** 52 was the missing `string` idea. These are the missing +"a dimensioned element set" idea, which the shared dispatch has in one place +(`parseArrayOfElements`) and the copy had in three half-right ways. + +All three are binary-only, the text channel being right for all of them; all three are +wrong on screen **and** lossy in the file, with no edit required; and all three were +hidden by their own 1x1 control, which is the reason to state them together. Measured by +`probe_cell_arrays.m`, which records MATLAB's three spellings and wrote +`cellarr_{text,binary}.sldd`. + +53. **A complex ARRAY in a cell lost its imaginary parts.** `{[1+2i 3-4i]}` displayed + `{[1 3]}`, and a rebuild wrote `Class="double" Dimension="1*2">1.0 3.0` — `IsComplex` + and the imaginary parts both gone from the file. + + The copy asked the SHAPE before the complexity, so a dimensioned element went to the + shaped arm, whose `numericBody` runs each token through `parseFloat`, which stops at + the `+`. The shared dispatch asks complexity first (`parseEntryValue`, and the struct + field path) because a complex value states its elements as text whatever its rank — + `IsComplex="1" Dimension="2*2*2">1.0+1.0i …` — so the shape is not the thing to branch + on. A complex SCALAR was right the whole time for the one reason that matters here: + MATLAB writes one with **no** `Dimension` at all, so it fell past the shaped arm and + reached the `IsComplex` check by accident of ordering. + +54. **A struct ARRAY in a cell was published as `<1x1 struct>`.** The copy passed a + hardcoded `[1, 1]` to `structValue` where the shared dispatch reads the element's own + `Dimension`, which MATLAB puts on the element that declares the class + (``, one child `` per struct) exactly + as it puts it on a struct-array `

` — which is why the field and property sites were + right and this one was not. + + The wrong summary was the harmless half. The envelope's dims are what the writer + spells, so a save emitted a `Class="struct"` element with the structs a level too deep + and the **next open found neither of them** — 1x2 and 2x2 alike. + +55. **An object ARRAY in a cell showed only its first object.** The copy's tail took + `childElements[0]`, so `{[Simulink.Parameter(1) Simulink.Parameter(2)]}` displayed + `{1}` — the first Parameter's value, presented as though the cell held a scalar — and + every object after the first was gone from the file on any save. The text channel + showed `{<1x2 Simulink.Parameter>}`. + + MATLAB spells this one a third way again: a **classless** `` + over one classed `` per object. A single object in + a cell is that same classless wrapper with no `Dimension` and one child, which is + precisely why taking the first child looked correct — for the control. + +Fixed as one idea rather than three: complexity is asked before shape, the struct arm +reads the element's `Dimension`, and the object tail delegates a dimensioned multi-child +element to `parseArrayOfElements` — the same helper the property path uses — rather than +becoming a fourth copy of the decision. + +Held by five tests in `binaryWriteBackGate.test.ts`, each of which fails with **any one** +of the three edits reverted (verified by reverting each alone): MATLAB's values read back, +the two channels asserted against EACH OTHER, the three write spellings, a byte-for-byte +comparison of every entry against MATLAB's own chunk, and a reopen of the rebuilt chunk. +The byte comparison normalizes away exactly one difference, the `Dimension="1*1"` +1x1-cell churn 52 already recorded — every entry in this fixture is a 1x1 cell, so leaving +it in would mean comparing nothing instead of everything. + +Two things this measurement settled and left alone: + +- **The writer needed no change.** All three defects were reader-side; once the model + carried the right dims, class and count, `MatlabVariableNode._serializeCellXml` and + `_serializeArrayXml` already spelled each of the three forms MATLAB's way. That is the + byte-identity test's second job. +- **Struct-array element rows are labelled 0-based** (`0`, `1`, …) where every other + container in the tree is 1-based, and for an N-D struct array the two channels disagree + about it (text `1…12`, binary `0…11`). Visible in the fixtures here, unrelated to cells, + not asserted either way. + ## Known limitations, to verify and document - **Derived MCOS classes.** A customer class `MyParam < Simulink.Parameter` diff --git a/test/parity/matlab/README.md b/test/parity/matlab/README.md index 637874f..5d3cef2 100644 --- a/test/parity/matlab/README.md +++ b/test/parity/matlab/README.md @@ -109,6 +109,7 @@ directory, because `Simulink.data.dictionary.open` rejects a relative one with | `probe_mdl_encoding.m` | what does a classic `.mdl` saved under a non-UTF-8 `slCharacterEncoding` look like, and what does MATLAB read back out of it? (TODO item 11) | `$MDL_ENCODING_OUT` or `tempdir/mdlenc` | `mdlenc_shift_jis_R2011b.mdl`, `mdlenc_windows_1252_R2011b.mdl`, `mdlenc_shift_jis.mdl` | | `probe_cell_shapes.m` | how does MATLAB spell a shaped value INSIDE a cell — a column, a matrix, a logical, a char matrix, a string — and in which order does it store the cell's own elements? (defects 49, 50) | `$CELL_SHAPES_OUT` or `tempdir/cellshapes` | — | | `probe_cell_string.m` | and how does it spell a `string` in a cell in the BINARY flavour, where a string is an object rather than a JSON value? (defect 52) | `$CELL_STRING_OUT` or `tempdir/cellstring` | `cellstr_text.sldd`, `cellstr_binary.sldd` | +| `probe_cell_arrays.m` | and how does it spell an ARRAY in a cell — complex, struct, object — where the cell site's hand-rolled dispatch lagged the shared one by three ideas? (defects 53, 54, 55) | `$CELL_ARRAYS_OUT` or `tempdir/cellarrays` | `cellarr_text.sldd`, `cellarr_binary.sldd` | | `probe_mask_types.m` | which mask parameter TYPES hold an expression `findVars` resolves, and which are a selection or a widget state? | — | — | | `probe_evaluate.m` | is `Evaluate` a SECOND gate, independent of the type — and how does each container format spell it? | `tempdir/probe_evaluate` | — | | `probe_non_data_params.m` | which FREE-TEXT block parameters never name data, however much their values look like variables? | `tempdir` (one child model, deleted) | — | diff --git a/test/parity/matlab/probe_cell_arrays.m b/test/parity/matlab/probe_cell_arrays.m new file mode 100644 index 0000000..ad43634 --- /dev/null +++ b/test/parity/matlab/probe_cell_arrays.m @@ -0,0 +1,216 @@ +% How does MATLAB spell an ARRAY inside a cell, in the binary flavour? +% +% probe_cell_string.m settled one cell of this matrix -- `string` at the +% cell-element site -- and in doing so exposed the generalization: `parseCellElement` +% is a hand-rolled COPY of the class dispatch the entry and property sites share, so +% every idea added to the shared dispatch has to be added to the copy by hand, and +% the copy lags. Defect 52 was the missing `string` branch. This probe asks for the +% other idea the copy was missing: "a dimensioned element set", which the shared +% dispatch handles in one place (`parseArrayOfElements`) and the copy handled in +% three half-right ways. +% +% Only MATLAB can answer, because the three array kinds are spelled three different +% ways and a reader branch keyed on the wrong one is no fix: a complex array states +% its elements as TEXT, a struct array states its shape on the element ITSELF, and an +% object array states its shape on a CLASSLESS wrapper one level above the objects. +% Nothing about the data model predicts which; the bytes decide. +% +% The answers, measured against R2027a (27.1.0.3372387): +% +% COMPLEX ARRAY -- the shape and the complexity ride on the same , and +% the body is text whatever the rank: +% +% 1.0+2.0i 3.0-4.0i +% 1.0+2.0i 3.0-4.0i +% 1.0+1.0i ... 8.0+8.0i +% +% A complex SCALAR carries NO Dimension (``), +% which is exactly why defect 53 hid: the reader asked the shape first and only +% reached its IsComplex check when there was no shape to find. So the scalar was +% right and every complex ARRAY in a cell lost its imaginary parts -- on screen AND +% out of the file, because the re-serialized element dropped IsComplex too. +% +% STRUCT ARRAY -- the shape is on the element that declares the class, one child +% per struct, the same way a struct-array PROPERTY states it on its

: +% +% +%

1.0

+%

2.0

 +% +% +% A 1x1 struct in a cell is the same shape with no Dimension, so a reader that +% hardcodes 1x1 (defect 54) is right for the control and wrong for every array. +% +% OBJECT ARRAY -- the shape is on a CLASSLESS wrapper, and the objects are its +% children, each carrying its own class: +% +% +% ... +% ... +% +% +% A SINGLE object in a cell is that same classless wrapper with no Dimension and +% one child -- which is why a reader that just took the first child (defect 55) +% looked correct until a cell held more than one object, and then showed the first +% object's value as though the cell held a scalar and wrote the rest out of the +% file. +% +% THE TEXT FLAVOUR IS RIGHT FOR ALL THREE. That is the signature of this repo's +% recurring defect class: the two channels spell the same value independently, so +% an invariant has to be pinned BETWEEN them, not inside either one. +% +% Run: mw -using Bmain matlab -nodesktop -batch "run('test/parity/matlab/probe_cell_arrays.m')" + +outdir = getenv('CELL_ARRAYS_OUT'); +if isempty(outdir), outdir = fullfile(tempdir, 'cellarrays'); end +if ~exist(outdir, 'dir'), mkdir(outdir); end + +pArr = [Simulink.Parameter(1) Simulink.Parameter(2)]; +sArr = [struct('a', 1) struct('a', 2)]; + +C = { ... + % --- the three defects, at the cell-element site -------------------------- + 'cCplxArr', {[1 + 2i, 3 - 4i]}; ... % defect 53: complex ROW in a cell + 'cCplxCol', {[1 + 2i; 3 - 4i]}; ... % ... and a COLUMN, same spelling + 'cCplxNd', {reshape((1:8) + 1i * (1:8), 2, 2, 2)}; ... % ... and rank 3 + 'cStructArr', {sArr}; ... % defect 54: struct ARRAY in a cell + 'cStructArr2D', {[struct('a',1) struct('a',2); struct('a',3) struct('a',4)]}; ... + 'cObjArr', {pArr}; ... % defect 55: object ARRAY in a cell + % --- the controls that hid them: each is the 1x1 of the row above --------- + 'cCplx', {1 + 2i}; ... % no Dimension at all -> was right + 'cStruct', {struct('a', 1)}; ... % the hardcoded 1x1 -> was right + 'cObj', {Simulink.Parameter(5)}; ... % one child -> taking [0] was right + % --- controls the fix must not regress ------------------------------------ + 'cNd', {reshape(1:12, 2, 3, 2)}; ... % REAL N-D: still the shaped arm + 'cStr', {"a"}; ... % defect 52's case, still lifted + % --- the sibling sites, already right: the fix must agree with them ------- + 'sObjArr', struct('f', pArr); ... % object array as a struct FIELD + 'sStructArr', struct('f', {sArr}); ... % struct array as a struct FIELD + 'pCplxArr', Simulink.Parameter([1 + 2i, 3 - 4i])}; % complex array as a PROPERTY + +fprintf('PROBE_BEGIN\nVERSION %s\n', version); + +Simulink.data.dictionary.closeAll('-discard'); +for fmt = {'uncompressed-text', 'compressed-binary'} + tag = fmt{1}; + fn = fullfile(outdir, ['cellarr_' strrep(tag, '-', '_') '.sldd']); + if exist(fn, 'file'), delete(fn); end + dd = Simulink.data.dictionary.create(fn); + dd.FileFormat = tag; + ds = dd.getSection('Design Data'); + for i = 1:size(C, 1) + try + ds.addEntry(C{i,1}, C{i,2}); + catch e + fprintf('REJECTED %-13s %s\n', C{i,1}, e.message); + end + end + clear ds + dd.saveChanges(); + dd.close(); + + % Read back through MATLAB's own API, so the class, the shape and the imaginary + % parts of each nested value are MATLAB's answer and not ours. Those three are + % exactly what the three defects destroyed. + fprintf('\nREAD BACK (%s)\n', tag); + dd = Simulink.data.dictionary.open(fn); + ds = dd.getSection('Design Data'); + for i = 1:size(C, 1) + try + fprintf(' %-13s %s\n', C{i,1}, describe(ds.getEntry(C{i,1}).getValue(), 1)); + catch e + fprintf(' %-13s UNREADABLE %s\n', C{i,1}, e.message); + end + end + clear ds + dd.close(); + fprintf('FILE %s\n', fn); +end + +% ---- the bytes MATLAB actually wrote ----------------------------------------- +% The binary flavour is a ZIP of XML, and the nesting IS the answer here, so print +% the whole chunk rather than an attribute-filtered view of it. +fprintf('\nBINARY XML\n'); +zdir = fullfile(outdir, 'unzipped'); +if exist(zdir, 'dir'), rmdir(zdir, 's'); end +names = unzip(fullfile(outdir, 'cellarr_compressed_binary.sldd'), zdir); +for j = 1:numel(names) + if exist(names{j}, 'file') ~= 2, continue, end + body = fileread(names{j}); + if isempty(strfind(body, 'cCplxArr')) %#ok + continue + end + fprintf(' --- %s\n', names{j}); + disp(body); +end + +fprintf('\nTEXT JSON\n'); +txt = regexprep(fileread(fullfile(outdir, 'cellarr_uncompressed_text.sldd')), '\s+', ' '); +for i = 1:size(C, 1) + k = strfind(txt, ['"' C{i,1} '"']); + if isempty(k) + fprintf(' %-13s NOT FOUND\n', C{i,1}); + continue + end + fprintf(' %s\n', txt(k(1):min(numel(txt), k(1) + 300))); +end + +disp('CELLARRAYS OK'); + +% ---- a recursive class/size/value description: MATLAB's own truth per element -- +% Local functions must be last in a script file. +function s = describe(v, depth) + if depth > 3 + s = '...'; + return + end + tag = sprintf('%s%s', class(v), mat2str(size(v))); + if iscell(v) + parts = cell(1, numel(v)); + for k = 1:numel(v) + parts{k} = describe(v{k}, depth + 1); + end + s = sprintf('%s{%s}', tag, strjoin(parts, ', ')); + elseif isstruct(v) + f = fieldnames(v); + parts = cell(1, numel(f)); + for k = 1:numel(f) + if isempty(v) + parts{k} = f{k}; + else + parts{k} = sprintf('%s=%s', f{k}, describe(v(1).(f{k}), depth + 1)); + end + end + s = sprintf('%s(%s)', tag, strjoin(parts, ', ')); + elseif isobject(v) && ~isempty(v) && isprop(v(1), 'Value') + % `v(1)` not `v`: isprop on a 1x2 object array answers 1x2, and `&&` refuses a + % non-scalar -- an object ARRAY is half of what this probe measures, so that + % throw would have hidden the answer behind UNREADABLE. + % An object array has no scalar Value either, so describe element 1 and say so. + if isscalar(v) + s = sprintf('%s[Value=%s]', tag, describe(v.Value, depth + 1)); + else + s = sprintf('%s[1.Value=%s]', tag, describe(v(1).Value, depth + 1)); + end + elseif ischar(v) || isstring(v) + % Reshape first: indexing a 2-D char/string with (1,:) is not the flat order + % the file stores, and `v(1)` on an EMPTY one throws. + flat = string(v(:)'); + if isempty(flat) + s = tag; + else + s = sprintf('%s"%s"', tag, strjoin(flat, ' ')); + end + elseif isnumeric(v) || islogical(v) + if isempty(v) + s = tag; + else + % `.'` not `'`: the plain transpose CONJUGATES, which would print the + % imaginary parts with the wrong sign -- in a probe about complex values + % that is the one mistake that makes the truth unreadable. + s = sprintf('%s=%s', tag, mat2str(reshape(v, 1, []), 17)); + end + else + s = tag; + end +end