| Commit message (Collapse) | Author | Age | Lines |
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It will attempt to find the most recent infraction authored by the
invoker of the edit command.
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instead of single.
Co-Authored-By: Mark <[email protected]>
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Will show the remaining time, `Expired.` or `Inactive.` based on the status of the infraction ( It can be inactive but not expired, like an early unmute )
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expires.
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Raising an exception allows the error handler to display a message to
the user if the failure happened from a command invocation.
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The object is basically just a namedtuple so there's no need to
re-create it every time a token is obtained.
* Remove log message which shows credentials.
* Initialise headers attribute to None in __init__.
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This removes the duplicate code for renewing the token. Since
fetch_posts is the only place where the token gets used, it can just be
refreshed there directly.
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Hard-coded version number to 1.0.0.
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Add retry loop to token request.
Revoke access token after usage.
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reddit-api-oauth
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config to subTest
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tested rule
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in the sum of attachments
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Testing methodology was adjusted in upstream repo. Merging the relevant changes.
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#### Closes #231
Applying the algorithm for `Needles and Haystack` to find and match tag in tags, for example:

This only applies to searching tag_name with more than 3 in length, and at least 80% of its letters are found, from left to right.
There are 3 levels of checking, stop at first found:
- Check if exact name ( case insensitive ) O(1) getting from a dictionary Dict[str, Tag]
- Check for all tags that has 100% matching via algorithm
- Check for all tags that has >= 80% matching
If there are more than one hit, it will be shown as suggestions:

In order to avoid api being called multiple times, I've implemented a cache to only refresh itself when the is a gap of more than 5 minutes from the last api call to get all tags.
Editing / Adding / Deleting tags will also modify the cache directly.
##### What about other solution like fuzzywuzzy?
fuzzywuzzy was considered for using, but from testing, it was giving much lower scores than expected:
Code used to test:
```py
from fuzzywuzzy import fuzz
def _fuzzy_search(search: str, target: str) -> bool:
found = 0
index = 0
_search = search.lower().replace(' ', '')
_target = target.lower().replace(' ', '')
for letter in _search:
index = _target.find(letter, index)
if index == -1:
break
found += index > 0
# return found / len(_search) * 100
return (
found / len(_search) * 100,
fuzz.ratio(search, target),
fuzz.partial_ratio(search, target)
)
tests = (
'this-is-gonna-be-fun',
'this-too-will-be-fun'
)
for test in tests:
print(test, '->', _fuzzy_search('this too fun', test))
```
Result from test:
```py
this-is-gonna-be-fun -> (30.0, 50, 50)
this-too-will-be-fun -> (90.0, 62, 58)
```
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Fix incorrect docstring and comment
Co-Authored-By: Mark <[email protected]>
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This reverts commit 56696b3b1858ad27dc7f3dce2898c7a6eb151f43.
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