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Because of type erasure generic information is not available at runtime in Java. Random beans can generate the list in PojoList because generic information is available for fields. ModelMapper allows for it to be done, so I would think it is possible. ModelMapper is similar, but instead of returning random data it copies data from one Pojo to another type of Pojo.
For example copying entity data to a ValueObject. This is almost the same situation, so I would think at a minimum a syntax like this should work for random beans too. Thanks for the api by the way. I am using it to generate test data in a complex class structure that would be difficult to create in any other way.
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I think this is the way to go for now in order to keep it simple instead of fighting type erasure and introducing more complexity in the code base with something equivalent to TypeToken. Sorry, I just saw your question. You can keep this closed. Ignore Learn more. Dismiss Join GitHub today GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together.
Sign up. Non-numerical values in list will be ignored. Infinity is returned if list is empty, so an isEmpty guard may be required. If iteratee is a string instead of a function, groups by the property named by iteratee on each of the values. Just like groupBy , but for when you know your keys are unique. Similar to groupBy , but instead of returning a list of values, returns a count for the number of values in that group.
Note: All array functions will also work on the arguments object. However, Underscore functions are not designed to work on "sparse" arrays. Passing n will return the first n elements of the array. Especially useful on the arguments object.
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Pass n to exclude the last n elements from the result. Passing n will return the last n elements of the array. Pass an index to return the values of the array from that index onward. If you pass shallow , the array will only be flattened a single level. Each value in the result is present in each of the arrays. In particular only the first occurrence of each value is kept. If you know in advance that the array is sorted, passing true for isSorted will run a much faster algorithm. If you want to compute unique items based on a transformation, pass an iteratee function.
Useful when you have separate data sources that are coordinated through matching array indexes. Use with apply to pass in an array of arrays. If you're working with a matrix of nested arrays, this can be used to transpose the matrix. Given an array of arrays, returns a series of new arrays, the first of which contains all of the first elements in the input arrays, the second of which contains all of the second elements, and so on. Pass either a single list of [key, value] pairs, or a list of keys, and a list of values.
Passing by pairs is the reverse of pairs. If duplicate keys exist, the last value wins. If you're working with a large array, and you know that the array is already sorted, pass true for isSorted to use a faster binary search Pass fromIndex to start your search at a given index. If an iteratee function is provided, it will be used to compute the sort ranking of each value, including the value you pass.
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The iteratee may also be the string name of the property to sort by eg. Returns a list of integers from start inclusive to stop exclusive , incremented or decremented by step , exclusive. Note that ranges that stop before they start are considered to be zero-length instead of negative — if you'd like a negative range, use a negative step.
Optionally, pass arguments to the function to pre-fill them, also known as partial application. For partial application without context binding, use partial. Very handy for binding functions that are going to be used as event handlers, which would otherwise be invoked with a fairly useless this. A close cousin of bind.
Useful for speeding up slow-running computations. If passed an optional hashFunction , it will be used to compute the hash key for storing the result, based on the arguments to the original function.
The default hashFunction just uses the first argument to the memoized function as the key. The cache of memoized values is available as the cache property on the returned function. If you pass the optional arguments , they will be forwarded on to the function when it is invoked. Useful for performing expensive computations or HTML rendering in chunks without blocking the UI thread from updating. Useful for rate-limiting events that occur faster than you can keep up with.
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By default, throttle will execute the function as soon as you call it for the first time, and, if you call it again any number of times during the wait period, as soon as that period is over. If you need to cancel a scheduled throttle, you can call. Useful for implementing behavior that should only happen after the input has stopped arriving. For example: rendering a preview of a Markdown comment, recalculating a layout after the window has stopped being resized, and so on. At the end of the wait interval, the function will be called with the arguments that were passed most recently to the debounced function.
Pass true for the immediate argument to cause debounce to trigger the function on the leading instead of the trailing edge of the wait interval. Useful in circumstances like preventing accidental double-clicks on a "submit" button from firing a second time. If you need to cancel a scheduled debounce, you can call. Repeated calls to the modified function will have no effect, returning the value from the original call. Useful for initialization functions, instead of having to set a boolean flag and then check it later.
Useful for grouping asynchronous responses, where you want to be sure that all the async calls have finished, before proceeding.