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dynatrace-cordova-outsystems-plugin

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This plugin gives you the ability to use the Dynatrace instrumentation in your hybrid application (Cordova, Ionic, ..). It uses the Mobile Agent, the JavaScript Agent and the Javascript Bridge. The Mobile Agent will give you all device specific values con

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# Acorn AST walker An abstract syntax tree walker for the [ESTree](https://github.com/estree/estree) format. ## Community Acorn is open source software released under an [MIT license](https://github.com/acornjs/acorn/blob/master/acorn-walk/LICENSE). You are welcome to [report bugs](https://github.com/acornjs/acorn/issues) or create pull requests on [github](https://github.com/acornjs/acorn). For questions and discussion, please use the [Tern discussion forum](https://discuss.ternjs.net). ## Installation The easiest way to install acorn is from [`npm`](https://www.npmjs.com/): ```sh npm install acorn-walk ``` Alternately, you can download the source and build acorn yourself: ```sh git clone https://github.com/acornjs/acorn.git cd acorn npm install ``` ## Interface An algorithm for recursing through a syntax tree is stored as an object, with a property for each tree node type holding a function that will recurse through such a node. There are several ways to run such a walker. **simple**`(node, visitors, base, state)` does a 'simple' walk over a tree. `node` should be the AST node to walk, and `visitors` an object with properties whose names correspond to node types in the [ESTree spec](https://github.com/estree/estree). The properties should contain functions that will be called with the node object and, if applicable the state at that point. The last two arguments are optional. `base` is a walker algorithm, and `state` is a start state. The default walker will simply visit all statements and expressions and not produce a meaningful state. (An example of a use of state is to track scope at each point in the tree.) ```js const acorn = require("acorn") const walk = require("acorn-walk") walk.simple(acorn.parse("let x = 10"), { Literal(node) { console.log(`Found a literal: ${node.value}`) } }) ``` **ancestor**`(node, visitors, base, state)` does a 'simple' walk over a tree, building up an array of ancestor nodes (including the current node) and passing the array to the callbacks as a third parameter. ```js const acorn = require("acorn") const walk = require("acorn-walk") walk.ancestor(acorn.parse("foo('hi')"), { Literal(_, ancestors) { console.log("This literal's ancestors are:", ancestors.map(n => n.type)) } }) ``` **recursive**`(node, state, functions, base)` does a 'recursive' walk, where the walker functions are responsible for continuing the walk on the child nodes of their target node. `state` is the start state, and `functions` should contain an object that maps node types to walker functions. Such functions are called with `(node, state, c)` arguments, and can cause the walk to continue on a sub-node by calling the `c` argument on it with `(node, state)` arguments. The optional `base` argument provides the fallback walker functions for node types that aren't handled in the `functions` object. If not given, the default walkers will be used. **make**`(functions, base)` builds a new walker object by using the walker functions in `functions` and filling in the missing ones by taking defaults from `base`. **full**`(node, callback, base, state)` does a 'full' walk over a tree, calling the callback with the arguments (node, state, type) for each node **fullAncestor**`(node, callback, base, state)` does a 'full' walk over a tree, building up an array of ancestor nodes (including the current node) and passing the array to the callbacks as a third parameter. ```js const acorn = require("acorn") const walk = require("acorn-walk") walk.full(acorn.parse("1 + 1"), node => { console.log(`There's a ${node.type} node at ${node.ch}`) }) ``` **findNodeAt**`(node, start, end, test, base, state)` tries to locate a node in a tree at the given start and/or end offsets, which satisfies the predicate `test`. `start` and `end` can be either `null` (as wildcard) or a number. `test` may be a string (indicating a node type) or a function that takes `(nodeType, node)` arguments and returns a boolean indicating whether this node is interesting. `base` and `state` are optional, and can be used to specify a custom walker. Nodes are tested from inner to outer, so if two nodes match the boundaries, the inner one will be preferred. **findNodeAround**`(node, pos, test, base, state)` is a lot like `findNodeAt`, but will match any node that exists 'around' (spanning) the given position. **findNodeAfter**`(node, pos, test, base, state)` is similar to `findNodeAround`, but will match all nodes *after* the given position (testing outer nodes before inner nodes).