[Snyk] Security upgrade eslint-plugin-unicorn from 31.0.0 to 40.0.0

[MaxMood96]

This PR was automatically created by Snyk using the credentials of a real user.

Snyk has created this PR to fix one or more vulnerable packages in the `npm` dependencies of this project.

Changes included in this PR

• Changes to the following files to upgrade the vulnerable dependencies to a fixed version:
  • js/package.json

Vulnerabilities that will be fixed

With an upgrade:

Severity	Priority Score (*)	Issue	Breaking Change	Exploit Maturity
	786/1000 Why? Proof of Concept exploit, Has a fix available, CVSS 9.3	Incomplete List of Disallowed Inputs SNYK-JS-BABELTRAVERSE-5962462	Yes	Proof of Concept

(*) Note that the real score may have changed since the PR was raised.

Commit messages

Package name: eslint-plugin-unicorn

The new version differs by 250 commits.

• c9dba05 40.0.0
• 84c9c70 Add `prefer-json-parse-buffer` rule (Initial checkin of CumSum and Round as contrib ops for 1P model microsoft/onnxruntime#1676)
• 6ab705b Add `relative-url-style` rule (optimize kernel index microsoft/onnxruntime#1672)
• b054d65 `prefer-top-level-await`: Improve top-level expression detection (Add back MacOS leg of the Python packaging job (#1523) microsoft/onnxruntime#1526)
• 7fb6f7b `prefer-dom-node-dataset`: Fix name conversion ([OpenVINO-EP] Added some mo optimizations to improve performance microsoft/onnxruntime#1674)
• a43a174 `filename-case`: Ignore `$` in filenames ([Need Info][ONNXRUNTIME-SERVER] - Input JSON format for onnxruntime server microsoft/onnxruntime#1628)
• f6215f3 Detect unnecessary `Promise.resolve`/`reject` in promise callback functions (int64 support for 'where' op microsoft/onnxruntime#1666)
• 267115a `prefer-string-slice`: Improve fix (ONNX model gets much slower on rel-0.5.0 compared to rel-0.4.0 microsoft/onnxruntime#1675)
• 152f153 `prefer-dom-node-dataset`: Check `.hasAttribute()` and `.getAttribute()` (Enable integration with mimalloc memory allocator microsoft/onnxruntime#1673)
• 021aa9b Merge `getPropertyName` and `getKeyName` (Support Tensor<bool> and Tensor<Int8> in C# API. Support Tensor<string> as input. Fix a bug in the InferenceSession Run() with RunOptions microsoft/onnxruntime#1671)
• 784c7a8 `prefer-math-trunc`: Improve fix logic (mask rcnn model failed with onnx runtime microsoft/onnxruntime#1670)
• b25962e `prefer-string-slice`: Refactor (Correcting input model for quantization microsoft/onnxruntime#1667)
• 22d8d03 `prefer-dom-node-dataset`: Check `.removeAttribute()` (update set fetches for execution with allocation plan. microsoft/onnxruntime#1668)
• 9179afe Remove `eslint-template-visitor` dependency (Improve error message when node has no execution provider microsoft/onnxruntime#1665)
• 03b0946 `prefer-string-slice`: Improve argument type detection (Add support of ReduceSum int64 microsoft/onnxruntime#1664)
• 054436e Add `no-useless-promise-resolve-reject` rule (Fix trtlogger segfault. re-enable SoftPlus unit test for TRT. add doc… microsoft/onnxruntime#1623)
• c318644 Add `no-thenable` rule (There was an error linking dynamic libraries during cross compilation(without docker) microsoft/onnxruntime#1616)
• 7bf63bb `prefer-add-event-listener`: Remove fix for `onerror` (Update perf tool documentation to reflect the new graph optimization enums. Relax constraint for enable_all. microsoft/onnxruntime#1650)
• 10ad699 `no-array-push-push`: Ignore `process.{stdin,stdout,stderr}` (Fix memory leak in mlas unitest microsoft/onnxruntime#1654)
• f2ca555 Improve `isNumber` (Check return value from CreateFeedsFetchesManager. microsoft/onnxruntime#1653)
• 9b04e43 `no-new-array` & `no-new-buffer`: Improve argument type detection (ngraph: fix bug on windows where ops (onnx subgraphs) were always getting dumped. microsoft/onnxruntime#1648)
• 2b92385 `no-array-for-each`: Ignore `pIteration.forEach` (Add non-standard data type serialization mechanism microsoft/onnxruntime#1649)
• 1ff8e42 `prefer-export-from`: Fix crash in TypeScript files (Allow user disable multiple threading microsoft/onnxruntime#1647)
• e59a856 Deprecate `prefer-object-has-own` (MlasGetMaximumThreadCount: plus 1 to the NumThreads from ORT thread pool microsoft/onnxruntime#1646)

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