stack VS duckling

Ah, didn't run into this issue, as I don't use vscode.

Apparently there is some work being done to improve the stack <> hls experience, but I wouldn't know how it's going and when it's being delivered: https://github.com/commercialhaskell/stack/issues/6154

this is it: # This file was automatically generated by 'stack init' # # Some commonly used options have been documented as comments in this file. # For advanced use and comprehensive documentation of the format, please see: # https://docs.haskellstack.org/en/stable/yaml\_configuration/ # Resolver to choose a 'specific' stackage snapshot or a compiler version. # A snapshot resolver dictates the compiler version and the set of packages # to be used for project dependencies. For example: # # resolver: lts-3.5 # resolver: nightly-2015-09-21 # resolver: ghc-7.10.2 # # The location of a snapshot can be provided as a file or url. Stack assumes # a snapshot provided as a file might change, whereas a url resource does not. # # resolver: ./custom-snapshot.yaml # resolver: https://example.com/snapshots/2018-01-01.yaml resolver: url: https://raw.githubusercontent.com/commercialhaskell/stackage-snapshots/master/lts/20/23.yaml # User packages to be built. # Various formats can be used as shown in the example below. # # packages: # - some-directory # - https://example.com/foo/bar/baz-0.0.2.tar.gz # subdirs: # - auto-update # - wai packages: - xmonad - xmonad-contrib # Dependency packages to be pulled from upstream that are not in the resolver. # These entries can reference officially published versions as well as # forks / in-progress versions pinned to a git hash. For example: # # extra-deps: # - acme-missiles-0.3 # - git: https://github.com/commercialhaskell/stack.git # commit: e7b331f14bcffb8367cd58fbfc8b40ec7642100a # # extra-deps: [] # Override default flag values for local packages and extra-deps # flags: {} # Extra package databases containing global packages # extra-package-dbs: [] # Control whether we use the GHC we find on the path # system-ghc: true # # Require a specific version of Stack, using version ranges # require-stack-version: -any # Default # require-stack-version: ">=2.11" # # Override the architecture used by Stack, especially useful on Windows # arch: i386 # arch: x86_64 # # Extra directories used by Stack for building # extra-include-dirs: [/path/to/dir] # extra-lib-dirs: [/path/to/dir] # # Allow a newer minor version of GHC than the snapshot specifies # compiler-check: newer-minor

Fix incorrect warning if allow-newer-deps are specified but allow-newer is false. See #6068.

You can download binaries for this pre-release from: Release rc/v2.11.0.1 (release candidate) · commercialhaskell/stack · GitHub .

Fair enough! Thanks for the suggestion, then. In fact, the non-Python language I develop most in (Haskell, with the Stack package manager) has exactly that behaviour as a default: new packages are installed to a sandboxed local directory, and it takes an explicit request to install something globally. (And even then, you can switch between different global "known good configurations" of package versions which work well together – a pretty handy feature.)

Opened a ticket on GitHub.

In YAML configuration files, the hackage-security key of the package-index key or the package-indices item can be omitted, and the Hackage Security configuration for the item will default to that for the official Hackage server. See #5870.

FYI this was solved in here: https://github.com/commercialhaskell/stack/issues/5958

Yes, that is correct. Stack's allow-newer: true configuration has always actually meant 'ignore bounds'. However, the author of the allow-newer-deps development has in mind a further development that will introduce an actual ignore-bounds key with the same expressive syntax that is used by Cabal. This is discussed at Stack #5910.

For the reasons others have said I don't see it replacing 'traditional' scraping soon. But I am looking forward to it replacing current methods of extracting data from the scraped content.

I've been using Duckling [0] for extracting fuzzy dates and times from text. It does a good job but I needed a custom build with extra rules to make that into a great job. And that's just for dates, 1 of 13 dimensions supported. Being able to use an AI that handles them with better accuracy will be fantastic.

Does a specialised model trained to extract times and dates already exist? It's entity tagging but a specialised form (especially when dealing with historical documents where you may need Gregorian and Julian calendars).

[0] https://github.com/facebook/duckling

Ah, sorry: https://github.com/facebook/duckling

To understand what relative distance and direction is indicated from the reference point, I'd look into something like Facebook & Wit.AI's Duckling, and a custom classifier to identify if it's on the reference point ("corner of"), or some distance from ("200 meters southwest"). If you can parse out a distance and direction, then it's all logic to plot the point.

It also powers the backend of Wit.ai which FB owns. Wit's open-source entity parser, duckling, is written entirely in Haskell. https://github.com/facebook/duckling

Our RandomPicForLater intent will have one slot called reminderTime and will be of type @duckling.time. Duckling is a library that extracts entities from text, and it is one of the tools used in JAICP for this purpose. Entity types in Duckling are called dimensions and there's a number of them built in, among them is Time which suits us perfectly since we need to ask users when they want us to schedule a post for and then parse a text input into a datetime object.

I'm working on a pretty interesting project right now and I'm having different results depending on the build tool used: with cabal, the test suite fails but it passes with stack.

Try downloading the v0.2.0.0 release, extracting it somewhere, opening that location in powershell, and running these commands:

Duckling (https://github.com/facebook/duckling) is a library for parsing text into structured data.

If you really want high precision, Duckling is a good project to check out https://github.com/facebook/duckling