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Challenges

Word Count Tool

+7
−0

In Google Docs, the word count tool looks like this:

Word count

Pages would not make sense, but your goal is to implement every other count.

Definitions

Words are strings of text separated by any amount of whitespace (spaces, tabs, newlines). Characters are all printable bytes*. For the sake of this challenge, you may assume all inputs will consist of printable bytes. Note that Google Docs does not count newlines in its character count, so you must do the same.

*I define printable bytes as the variable string.printable in Python, which is shown below.

>>> string.printable
'0123456789abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ!"#$%&\'()*+,-./:;<=>?@[\\]^_`{|}~ \t\n\r\x0b\x0c'

Input

A string of text, or a list of strings instead of a multiline string if you wish.

Output

The 3 counts (words, characters, characters without spaces) in any order, and in an array if you like.

Examples

Input -> [words, characters, characters without spaces]
"Hello world" -> [2, 11, 10]
"H3ll0  w0r1d" -> [2, 12, 10]
"Hello \t\nworld" -> [2, 12, 11]
"\n\n\n" -> [0, 0, 0]
"   " -> [0, 3, 0]

This is code golf, so shortest code wins.

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9 answers

+2
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Ruby, 55 bytes

->a{[a.split,a.tr($/,''),a.gsub(/[ 
]/,'')].map &:size}

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split removes all whitespace, but lines doesn't for some reason. Would've been useful in place of the tr.

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+2
−0

APL (Dyalog Unicode), 27 bytes

Anonymous tacit prefix function

'\w+' '.' '[^ ]'{≢⍺⎕S⍬⊢⍵}¨⊂

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'\w+' '.' '[^ ]'{}¨⊂ apply the following anonymous lambda on each of the PCRE patterns () and the entire string ():

⊢⍵ on the string

⍺⎕S⍬ find matches for the pattern

 tally (count) them

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+1
−0

Japt v2.0a0, 19 18 17 bytes

I need more caffeine!

Takes input as an array of lines. Output is a reversed array.

[Uc¸¬U¬Ucq\s f]ml

Try it - includes all test cases, header splits string on newlines for ease of input. footer reverse the output for easier verification.

[Uc¸¬U¬Ucq\s f]ml     :Implicit input of array U
[                     :Construct an array containing
 Uc                   :1. Map U then flatten
   ¸                  :     Join with spaces
    ¬                 :   Join
     U¬               :2. Join U
       Uc             :3. Map U then flatten
         q            :     Split on
          \s          :     Regex /\s/g
             f        :   Filter, to remove empty strings
              ]       :End array
               m      :Map
                l     :  Length
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+0
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Haskell, 47 bytes

l=length
f s=(l(words s),l s,l$filter(/= ' ')s)

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+0
−0

Python 3.8, 73 bytes

lambda x:[len(x.split()),len(x.replace('\n','')),len(''.join(x.split()))]

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+0
−0

Lua 5.4, 62 bytes

_,w=s:gsub('%w+',0)_,c=s:gsub('[^\n]',0)_,n=s:gsub('[%g\t]',0)

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Another version, 65 bytes:

p={'%w+','[^\n]','[%g\t]'}for i=1,#p do _,r[i]=s:gsub(p[i],'')end

Attempt This Online!

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+0
−0

JavaScript (Node.js), 60 bytes

s=>[/\w+/g,/./g,/[\S\t]/g].map(p=>(v=s.match(p))?v.length:0)

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+0
−0

Wolfram Language (Mathematica), 70 bytes

{Tr[1^StringSplit@#],StringLength@#,StringLength@StringDelete[#," "]}&

Try it online!

What made me decide to use Mathematica for string processing? I don't know. But at least it has the required builtins.

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+0
−0

Ruby, 48 bytes

->a{[a.split,b=a.chars-[$/],b-[' ']].map &:size}

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