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Comparing caching speeds to function speed
(version: 0)
A structure for checking whether caching/memoization is worth it
Comparing performance of:
JSON.stringify vs Function
Created:
7 years ago
by:
Registered User
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Script Preparation code:
var a = [ { "identifier": "OLDC_29322_5891_0_366851", "value": "asdfas", "metaName": "Lev2Value", "iteration": 0, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "update", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 }, { "identifier": "OLDC_29322_5891_1_366851", "value": "wqerqa", "metaName": "Lev2Value", "iteration": 1, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "add", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 }, { "identifier": "OLDC_29322_5891_2_366851", "value": "asdfa", "metaName": "Lev2Value", "iteration": 2, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "add", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 }, { "identifier": "OLDC_29322_5891_3_366851", "value": "ZXcz", "metaName": "Lev2Value", "iteration": 3, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "add", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 }, { "identifier": "OLDC_29322_5891_4_366851", "value": "qwerqwer", "metaName": "Lev2Value", "iteration": 4, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "add", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 } ]; var b = [ { "identifier": "OLDC_29322_5891_0_366851", "value": "asdfas", "metaName": "Lev2Value", "iteration": 0, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "update", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 }, { "identifier": "OLDC_29322_5891_1_366851", "value": "wqerqa", "metaName": "Lev2Value", "iteration": 1, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "add", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 }, { "identifier": "OLDC_29322_5891_2_366851", "value": "asdfa", "metaName": "Lev2Value", "iteration": 2, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "add", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 }, { "identifier": "OLDC_29322_5891_3_366851", "value": "ZXcz", "metaName": "Lev2Value", "iteration": 3, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "add", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 }, { "identifier": "OLDC_29322_5891_4_366851", "value": "qwerqwer", "metaName": "Lev2Value", "iteration": 4, "cellAccessMode": "edit", "maskType": "[General]", "dataType": "char", "action": "add", "maskTypeId": 483, "subScreenDataId": 0, "subScreenId": 0, "rowDataId": 16378324, "rowId": 76169 } ];
Tests:
JSON.stringify
JSON.stringify(a);
Function
const sourceOptions = { array: [], repeatsAt: false, }; const sourceOptionsIndex = {}; a.forEach((entry) => { if (entry.value && entry.value.trim() && !sourceOptionsIndex[entry.value.trim()]) { sourceOptionsIndex[entry.value.trim()] = true; sourceOptions.array.push(entry); } else if (entry.value) { sourceOptions.repeatsAt = entry.identifier; } });
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
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Test case name
Result
JSON.stringify
Function
Fastest:
N/A
Slowest:
N/A
Latest run results:
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Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
It appears that we are dealing with a JSON object containing benchmark results, test cases, and some metadata. The main content of the JSON object is an array of objects, each representing a benchmark result: ```json { "rawUAString": "...", "browser": "...", "devicePlatform": "...", "operatingSystem": "...", "executionsPerSecond": "...", "testName": "..." } ``` The JSON object also contains an array of objects, each representing a test case: ```json { "benchmarkDefinition": "...", "testName": "...", "Function": { // function implementation... } } ``` Additionally, the JSON object has some metadata, including: ```json { "Html Preparation Code": null, "Individual test cases": [...], "Latest benchmark result": [...] } ``` The individual test cases are stored in an array, and each test case is represented by an object with a `benchmarkDefinition` property, which contains the definition of the function to be tested. If I had to answer your question based on this information, I would need more context about what specific aspect of the JSON object you would like me to analyze or respond to.
Related benchmarks:
memo vs no memo
memo vs no memo multiple
memo vs no memo multiple inverted
Caching for loop conditions
Caching with loop conditions
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