fuzzily | Fast fuzzy string searching/matching for Rails
kandi X-RAY | fuzzily Summary
kandi X-RAY | fuzzily Summary
Show me photos of Marakech ! Here aresome photos of Marrakesh, Morroco. Did you mean Martanesh, Albania, Marakkanam, India, or Marasheshty, Romania?. Fuzzily finds misspelled, prefix, or partial needles in a haystack of strings. It's a fast, trigram-based, database-backed fuzzy string search/match engine for Rails. Loosely inspired from an old blog post. Tested with ActiveRecord (2.3, 3.0, 3.1, 3.2, 4.0) on various Rubies (1.8.7, 1.9.3, 2.0.0, 2.1.0) and the most common adapters (SQLite3, MySQL, and PostgreSQL). If your dateset is big, if you need yet more speed, or do not use ActiveRecord, check out blurrily, another gem (backed with a C extension) with the same intent.
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Top functions reviewed by kandi - BETA
- Updates the record from the database .
- Converts a string to UTF - ASCII characters .
- Returns an array of symbols
- Returns an array of scores to the scores
fuzzily Key Features
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QUESTION
I'm working on speech in conversational speaking turns and want to extract words that are repeated across turns. The task I'm grappling with is to extract words that inexactly repeated.
Data:
...ANSWER
Answered 2021-Apr-22 at 11:17I think this can be done really well using a tidy approach. The problem you already solved can be done (probably much quicker) using tidytext
:
QUESTION
I was thinking about how I could save myself from undefinition, and one idea I had was to enumerate all possible sources of partiality. At least I would know what of to beware. I found three yet:
- Incomplete pattern matches or guards.
- Recursion. (Optionally excluding structural recursion on algebraic types.)
- If a function is unsafe, any use of that function infects the user code. (Should I be saying "partiality is transitive"?)
I have heard of other ways to obtain a logical contradiction, for instance by using negative types, but I am not sure if anything of that sort applies to Haskell. There are many logical paradoxes out there, and some of them can be encoded in Haskell, but may it be true that any logical paradox requires the use of recursion, and is therefore covered by the point 2 above?
For instance, if it were proven that a Haskell expression free of recursion can always be evaluated to normal form, then the three points I give would be a complete list. I fuzzily remember seeing something like a proof of this in one of Simon Peyton Jones's books, but that was written like 30 years ago, so even if I remember correctly and it used to apply to a prototype Haskell back then, it may be false today, seeing how many a language extension we have. Possibly some of them enable other ways to undefine a program?
And then, if it were so easy to detect expressions that cannot be partial, why do we not do that? How easier would life be!
...ANSWER
Answered 2019-Oct-12 at 21:42This is a partial answer (pun intended), where I'll only list a few arguably non obvious ways one can achieve non termination.
First, I'll confirm that negative-recursive types can indeed cause non termination. Indeed, it is known that allowing a recursive type such as
QUESTION
I've built a sample using the Typescript playground, but the behaviour isn't related to typescript specifically. It's a bit easier to show in code (link includes compiled JS, for those looking to ignore TS):
If you extend a class which uses an indexed array as a property
...ANSWER
Answered 2019-Aug-12 at 20:11That has nothing to do with Reflect. You'll get the same behaviour with:
QUESTION
On the official Python docs here, it is mentioned that:
Heaps are also very useful in big disk sorts. You most probably all know that a big sort implies producing “runs” (which are pre-sorted sequences, whose size is usually related to the amount of CPU memory), followed by a merging passes for these runs, which merging is often very cleverly organised.
It is very important that the initial sort produces the longest runs possible. Tournaments are a good way to achieve that. If, using all the memory available to hold a tournament, you replace and percolate items that happen to fit the current run, you’ll produce runs which are twice the size of the memory for random input, and much better for input fuzzily ordered.Moreover, if you output the 0’th item on disk and get an input which may not fit in the current tournament (because the value “wins” over the last output value), it cannot fit in the heap, so the size of the heap decreases. The freed memory could be cleverly reused immediately for progressively building a second heap, which grows at exactly the same rate the first heap is melting.
When the first heap completely vanishes, you switch heaps and start a new run. Clever and quite effective!
I am aware of an algorithm called External sorting in which we:
- Break down the input into smaller chunks.
- Sort all the chunks individually and write them back to disk one-by-one.
- Create a heap and do a k-way merge among all the sorted chunks.
I completely understood external sorting as described on Wikipedia, but am not able to understand the author when they say:
If, using all the memory available to hold a tournament, you replace and percolate items that happen to fit the current run, you’ll produce runs which are twice the size of the memory for random input, and much better for input fuzzily ordered.
and:
Moreover, if you output the 0’th item on disk and get an input which may not fit in the current tournament (because the value “wins” over the last output value), it cannot fit in the heap, so the size of the heap decreases.
What is this heap melting?
...ANSWER
Answered 2019-Jun-01 at 21:56Heap melting is not a thing. It's just the word the author uses for the heap getting smaller as to pull out the smallest items.
The idea he's talking about is a clever replacement for "divide the input into chunks and sort the chunks" part of the external sort. It produces larger sorted chunks.
The idea is that you first read the biggest chunk you can into memory and arrange it into a heap, then you start writing out the smallest elements from the heap as you read new elements in.
When you read in an element that is smaller than an element you have already written out, it can't go in the current chunk (it would ruin the sort), so you remember it for the next chunk. Elements that are not smaller than the last one you wrote out can be inserted into the heap. They will make it out into the current chunk, making the current chunk larger.
Eventually your heap will be empty. At that point you're done with the current chunk -- heapify all the elements you remembered and start writing out the next chunk.
QUESTION
Say you have a Rails application that uses ActiveRecord 4.2.5 and an included gem that uses an earlier version, say 3.2.14. Do both versions get loaded and used independently (I'm guessing yes)? Is there any way I can make this gem use a newer version? The gem in question has this entry in my Gemfile.lock:
...ANSWER
Answered 2017-Mar-22 at 10:37Ruby on Rails will not use two versions of the gem, it will default the usage of the gem to the latest version. https://github.com/bundler/bundler/issues/751
You can always specify which version of Active Record you want your gem to use, provided that Active Record version is compatible with your gem. You can download the repositories of both versions of said gem in your local file. Then provide local paths pointing to both the gems separately and add these gems (with the paths) in your gem file.
eg.
gem 'grpc', :path => '/Users/admin/repository/grpc' .
gem 'grpc', :path => '/Users/admin/grpc'
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