Finds the closest neighboring keys of a given letter on a specific keyboard layout.
Project description
Finds the closest neighboring keys of a given letter on a specific keyboard layout
pip install surroundingkeys
Tested against Windows 10 / Python 3.10 / Anaconda
A utility function to find the closest neighboring keys of a given letter on a specific keyboard layout.
Parameters:
-----------
letter : str
The letter for which to find the neighboring keys.
keyboard : str
The keyboard layout identifier. Should be one of the identifiers shown when you call show_all_keyboards().
Returns:
--------
dict
A dictionary containing the neighboring keys of the input letter on the specified keyboard layout.
The dictionary has the following structure:
{
input_letter: {
'side': [list of letters on the left and right sides],
'top': [list of letters above the input letter],
'bottom': [list of letters below the input letter]
}
}
If no neighboring keys are found or the input letter is not available on the specified keyboard layout,
the corresponding list will be empty.
Example:
--------
from surroundingkeys import get_next_letters, show_all_keyboards
for letter in 'Oi, tudo bem?':
result = get_next_letters(letter=letter, keyboard="kbdbr_1")
print(result)
print(letter)
{'O': {'side': ['I', 'P'], 'top': ['9', '0'], 'bottom': ['K', 'L']}}
O
{'i': {'side': ['u', 'o'], 'top': ['8', '9'], 'bottom': ['j', 'k']}}
i
{',': {'side': ['m', '.'], 'top': ['k', 'l'], 'bottom': []}}
,
{' ': {'side': [], 'top': [], 'bottom': []}}
{'t': {'side': ['r', 'y'], 'top': ['5', '6'], 'bottom': ['f', 'g']}}
t
{'u': {'side': ['y', 'i'], 'top': ['7', '8'], 'bottom': ['h', 'j']}}
u
{'d': {'side': ['s', 'f'], 'top': ['e', 'r'], 'bottom': ['x', 'c']}}
d
{'o': {'side': ['i', 'p'], 'top': ['9', '0'], 'bottom': ['k', 'l']}}
o
{' ': {'side': [], 'top': [], 'bottom': []}}
{'b': {'side': ['v', 'n'], 'top': ['g', 'h'], 'bottom': []}}
b
{'e': {'side': ['w', 'r'], 'top': ['3', '4'], 'bottom': ['s', 'd']}}
e
{'m': {'side': ['n', ','], 'top': ['j', 'k'], 'bottom': []}}
m
{'?': {'side': [], 'top': [], 'bottom': []}}
?
Note:
-----
This function uses a cache (LRU cache) to speed up repeated calls with the same inputs.
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