chore: update node_modules with new binary files and dependencies

- Add new binary files for nodemon, onnxruntime-web, and xenova/transformers
- Update various JavaScript and TypeScript files in node_modules
- Remove unused files and dependencies
- Add new test fixtures and documentation files

node_modules/onnxruntime-web/lib/onnxjs/backends/webgl/ops/flatten.ts

@@ -0,0 +1,39 @@
+// Copyright (c) Microsoft Corporation. All rights reserved.
+// Licensed under the MIT License.
+
+import {Graph} from '../../../graph';
+import {OperatorImplementation, OperatorInitialization} from '../../../operators';
+import {Tensor} from '../../../tensor';
+import {ShapeUtil} from '../../../util';
+import {WebGLInferenceHandler} from '../inference-handler';
+
+export const flatten: OperatorImplementation<number> =
+    (inferenceHandler: WebGLInferenceHandler, inputs: Tensor[], axis: number): Tensor[] => {
+      validateInputs(inputs, axis);
+
+      const outputDims = ShapeUtil.flattenShape(inputs[0].dims, axis);
+      return [inferenceHandler.reshapeUnpacked(inputs[0], outputDims)];
+    };
+
+export const parseFlattenAttributes: OperatorInitialization<number> = (node: Graph.Node): number =>
+    node.attributes.getInt('axis', 1);  // default axis is 1
+
+const validateInputs = (inputs: Tensor[], axis: number): void => {
+  if (!inputs || inputs.length !== 1) {
+    throw new Error('Flatten requires 1 input.');
+  }
+
+  const r = inputs[0].dims.length;
+  if (r === 0) {
+    throw new Error('scalar tensor is not supported.');
+  }
+
+  if (axis < -r || axis > r) {
+    throw new Error('Invalid axis');
+  }
+
+  // TODO: Support string type
+  if (inputs[0].type === 'string') {
+    throw new Error('string tensor is not supported.');
+  }
+};