Oliver Eyton-Williams ee1e8abd87
feat(curriculum): restore seed + solution to Chinese (#40683)
* feat(tools): add seed/solution restore script

* chore(curriculum): remove empty sections' markers

* chore(curriculum): add seed + solution to Chinese

* chore: remove old formatter

* fix: update getChallenges

parse translated challenges separately, without reference to the source

* chore(curriculum): add dashedName to English

* chore(curriculum): add dashedName to Chinese

* refactor: remove unused challenge property 'name'

* fix: relax dashedName requirement

* fix: stray tag

Remove stray `pre` tag from challenge file.

Signed-off-by: nhcarrigan <nhcarrigan@gmail.com>

Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
2021-01-12 19:31:00 -07:00

572 B

id, title, challengeType, videoId, dashedName
id title challengeType videoId dashedName
5e7b9f0b0b6c005b0e76f06f Regular Expressions: Matching and Extracting Data 11 LaCZnTbQGkE regular-expressions-matching-and-extracting-data

--question--

--text--

What will the following program print?:

import re
s = 'A message from csev@umich.edu to cwen@iupui.edu about meeting @2PM'
lst = re.findall('\\S+@\\S+', s)
print(lst)

--answers--

['csev@umich.edu', 'cwen@iupui.edu']


['csev@umich.edu']


['umich.edu', 'iupui.edu']


['csev@', 'cwen@']

--video-solution--

1