Set the Python file maximum line length to 88 characters (#2122)

* flake8 --max-line-length=88

* fixup! Format Python code with psf/black push

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
This commit is contained in:
Christian Clauss
2020-06-16 10:09:19 +02:00
committed by GitHub
parent 9438c6bf0b
commit 9316e7c014
90 changed files with 473 additions and 320 deletions

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@ -1,6 +1,7 @@
"""
Implementation of finding nth fibonacci number using matrix exponentiation.
Time Complexity is about O(log(n)*8), where 8 is the complexity of matrix multiplication of size 2 by 2.
Time Complexity is about O(log(n)*8), where 8 is the complexity of matrix
multiplication of size 2 by 2.
And on the other hand complexity of bruteforce solution is O(n).
As we know
f[n] = f[n-1] + f[n-1]
@ -70,7 +71,10 @@ def nth_fibonacci_bruteforce(n):
def main():
fmt = "{} fibonacci number using matrix exponentiation is {} and using bruteforce is {}\n"
fmt = (
"{} fibonacci number using matrix exponentiation is {} and using bruteforce "
"is {}\n"
)
for ordinal in "0th 1st 2nd 3rd 10th 100th 1000th".split():
n = int("".join(c for c in ordinal if c in "0123456789")) # 1000th --> 1000
print(fmt.format(ordinal, nth_fibonacci_matrix(n), nth_fibonacci_bruteforce(n)))

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@ -1,5 +1,6 @@
"""
In this problem, we want to rotate the matrix elements by 90, 180, 270 (counterclockwise)
In this problem, we want to rotate the matrix elements by 90, 180, 270
(counterclockwise)
Discussion in stackoverflow:
https://stackoverflow.com/questions/42519/how-do-you-rotate-a-two-dimensional-array
"""

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@ -207,8 +207,10 @@ class Matrix:
"""
<method Matrix.ShermanMorrison>
Apply Sherman-Morrison formula in O(n^2).
To learn this formula, please look this: https://en.wikipedia.org/wiki/Sherman%E2%80%93Morrison_formula
This method returns (A + uv^T)^(-1) where A^(-1) is self. Returns None if it's impossible to calculate.
To learn this formula, please look this:
https://en.wikipedia.org/wiki/Sherman%E2%80%93Morrison_formula
This method returns (A + uv^T)^(-1) where A^(-1) is self. Returns None if it's
impossible to calculate.
Warning: This method doesn't check if self is invertible.
Make sure self is invertible before execute this method.

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@ -1,7 +1,8 @@
"""
Testing here assumes that numpy and linalg is ALWAYS correct!!!!
If running from PyCharm you can place the following line in "Additional Arguments" for the pytest run configuration
If running from PyCharm you can place the following line in "Additional Arguments" for
the pytest run configuration
-vv -m mat_ops -p no:cacheprovider
"""