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Travis CI: Fix Travis linter errors (#1802)

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* Travis CI: Fix Travis linter errors

* fixup! Format Python code with psf/black push

* Update .travis.yml

* updating DIRECTORY.md

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
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Christian Clauss 2020-03-14 23:55:13 +01:00 committed by GitHub
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commit ab3400bfad
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3 changed files with 6 additions and 1 deletions
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.travis.yml
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@ -1,3 +1,5 @@
os: linux
dist: bionic
language: python language: python
python: 3.8 python: 3.8
cache: pip cache: pip

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DIRECTORY.md
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@ -321,6 +321,7 @@
* [Newton Raphson](https://github.com/TheAlgorithms/Python/blob/master/maths/newton_raphson.py) * [Newton Raphson](https://github.com/TheAlgorithms/Python/blob/master/maths/newton_raphson.py)
* [Numerical Integration](https://github.com/TheAlgorithms/Python/blob/master/maths/numerical_integration.py) * [Numerical Integration](https://github.com/TheAlgorithms/Python/blob/master/maths/numerical_integration.py)
* [Perfect Square](https://github.com/TheAlgorithms/Python/blob/master/maths/perfect_square.py) * [Perfect Square](https://github.com/TheAlgorithms/Python/blob/master/maths/perfect_square.py)
* [Pi Monte Carlo Estimation](https://github.com/TheAlgorithms/Python/blob/master/maths/pi_monte_carlo_estimation.py)
* [Polynomial Evaluation](https://github.com/TheAlgorithms/Python/blob/master/maths/polynomial_evaluation.py) * [Polynomial Evaluation](https://github.com/TheAlgorithms/Python/blob/master/maths/polynomial_evaluation.py)
* [Prime Check](https://github.com/TheAlgorithms/Python/blob/master/maths/prime_check.py) * [Prime Check](https://github.com/TheAlgorithms/Python/blob/master/maths/prime_check.py)
* [Prime Factors](https://github.com/TheAlgorithms/Python/blob/master/maths/prime_factors.py) * [Prime Factors](https://github.com/TheAlgorithms/Python/blob/master/maths/prime_factors.py)

4
maths/pi_monte_carlo_estimation.py
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@ -18,7 +18,8 @@ class Point:
""" """
Generates a point randomly drawn from the unit square [0, 1) x [0, 1). Generates a point randomly drawn from the unit square [0, 1) x [0, 1).
""" """
return cls(x = random.random(), y = random.random()) return cls(x=random.random(), y=random.random())
def estimate_pi(number_of_simulations: int) -> float: def estimate_pi(number_of_simulations: int) -> float:
""" """
@ -56,6 +57,7 @@ if __name__ == "__main__":
# doctest.testmod() # doctest.testmod()
from math import pi from math import pi
prompt = "Please enter the desired number of Monte Carlo simulations: " prompt = "Please enter the desired number of Monte Carlo simulations: "
my_pi = estimate_pi(int(input(prompt).strip())) my_pi = estimate_pi(int(input(prompt).strip()))
print(f"An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}") print(f"An estimate of PI is {my_pi} with an error of {abs(my_pi - pi)}")