map values by a series of values
Map over promises serially
Map over array avoiding parallel execution, using promises
Iterate over promises serially
Highmaps Map Collection
This package provides support for the [RedisTimeSeries](https://redis.io/docs/data-types/timeseries/) module, which adds a time series data structure to Redis.
Zero-overhead asynchronous series/each/map function calls
Generates and consumes source maps
Run an array of functions in series
Generates and consumes source maps
Fixes stack traces for files with source maps
Store information about any JS value in a side channel, using a Map
Is this value a JS Map? This module works cross-realm/iframe, and despite ES6 @@toStringTag.
concatenative mapdashery
Fixes stack traces for files with source maps
Run promise-returning & async functions concurrently with optional limited concurrency
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An iteration of the Node.js core streams with a series of improvements
Persistent ordered mapping from strings
Compose promise-returning & async functions into a reusable pipeline
Converts a source-map from/to different formats and allows adding/changing properties.
[Experimental] - 🚇 File crawling, watching and mapping for Metro
Generate source maps
Apply an async function to each Array element in series.
DAP reads data using an input plugin, transforms it through a series of filters, and prints it out again using an output plugin. Every record is treated as a document (aka: hash/dict) and filters are used to reduce, expand, and transform these documents as they pass through. Think of DAP as a mashup between sed, awk, grep, csvtool, and jq, with map/reduce capabilities.
When building data pipelines, it is often useful to extract and transfrom data from an input JSON and output it in a different format. The standard process for doing this in Ruby is to write a series of if-else logic coupled with for-loops. This code ends up being largely redundant, confusing, and difficult to maintain or change. This Gem provides an easy and extensible solution to this problem by allowing you to define your mapping in YAML and apply it to any JSON object in a single line of code.
A DataMapper adapter for Amazon's SimpleDB service. Features: * Full set of CRUD operations * Supports all DataMapper query predicates. * Can translate many queries into efficient native SELECT operations. * Migrations * DataMapper identity map support for record caching * Lazy-loaded attributes * DataMapper Serial property support via UUIDs. * Array properties * Basic aggregation support (Model.count("...")) * String "chunking" permits attributes to exceed the 1024-byte limit Note: as of version 1.0.0, this gem supports supports the DataMapper 0.10.* series and breaks backwards compatibility with DataMapper 0.9.*.
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