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feat: add strings/ngram algorithm (#6074)

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* feat: added ngram algorithm
* fix(test): use `math.isclose` to match floating point numbers approximately

Co-authored-by: Christian Clauss <cclauss@me.com>
Co-authored-by: Dhruv Manilawala <dhruvmanila@gmail.com>
This commit is contained in:
Harshit Agarwal 2022-04-04 00:36:32 -03:00 committed by GitHub
parent 4064bf45f5
commit 1f1daaf1c7
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2 changed files with 34 additions and 3 deletions
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14
arithmetic_analysis/in_static_equilibrium.py
View File

@ -12,8 +12,12 @@ def polar_force(
""" """
Resolves force along rectangular components. Resolves force along rectangular components.
(force, angle) => (force_x, force_y) (force, angle) => (force_x, force_y)
>>> polar_force(10, 45) >>> import math
[7.071067811865477, 7.0710678118654755] >>> force = polar_force(10, 45)
>>> math.isclose(force[0], 7.071067811865477)
True
>>> math.isclose(force[1], 7.0710678118654755)
True
>>> polar_force(10, 3.14, radian_mode=True) >>> polar_force(10, 3.14, radian_mode=True)
[-9.999987317275396, 0.01592652916486828] [-9.999987317275396, 0.01592652916486828]
""" """
@ -50,7 +54,11 @@ def in_static_equilibrium(
if __name__ == "__main__": if __name__ == "__main__":
# Test to check if it works # Test to check if it works
forces = array( forces = array(
[polar_force(718.4, 180 - 30), polar_force(879.54, 45), polar_force(100, -90)] [
polar_force(718.4, 180 - 30),
polar_force(879.54, 45),
polar_force(100, -90),
]
) )
location = array([[0, 0], [0, 0], [0, 0]]) location = array([[0, 0], [0, 0], [0, 0]])

23
strings/ngram.py Normal file
View File

@ -0,0 +1,23 @@
"""
https://en.wikipedia.org/wiki/N-gram
"""
def create_ngram(sentence: str, ngram_size: int) -> list[str]:
"""
Create ngrams from a sentence
>>> create_ngram("I am a sentence", 2)
['I ', ' a', 'am', 'm ', ' a', 'a ', ' s', 'se', 'en', 'nt', 'te', 'en', 'nc', 'ce']
>>> create_ngram("I am an NLPer", 2)
['I ', ' a', 'am', 'm ', ' a', 'an', 'n ', ' N', 'NL', 'LP', 'Pe', 'er']
>>> create_ngram("This is short", 50)
[]
"""
return [sentence[i : i + ngram_size] for i in range(len(sentence) - ngram_size + 1)]
if __name__ == "__main__":
from doctest import testmod
testmod()