mirror of
https://github.com/TheAlgorithms/Python.git
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[mypy] Fix type annotations for maths directory (#5782)
* [mypy] Fix annotations in `maths/series/p_series.py` * Update p_series.py * Update p_series.py * Remove from excluded in mypy.ini * Type annotation for series * Annotate maths/proth_number.py (properly) * Remove from excluded in mypy.ini * Annotate average_mode.py * Update average_mode.py * Update average_mode.py * Update average_mode.py * Update average_mode.py * Remove from excluded in mypy.ini * Fix annotations in gamma_recursive.py * Remove from excluded in mypy.ini * Annotations for geometric_series.py * Update geometric_series.py * Update mypy.ini * Update average_mode.py * Update average_mode.py * Update average_mode.py * Update mypy.ini * Update mypy.ini * Update mypy.ini * Update average_mode.py * Update proth_number.py * Update average_mode.py * Update gamma_recursive.py * Update proth_number.py * Update mypy.ini * Update geometric_series.py * Update average_mode.py * Update proth_number.py * Update geometric_series.py * Update geometric_series.py * Update geometric_series.py * Update p_series.py * Update geometric_series.py * Update p_series.py * Update p_series.py * Update geometric_series.py * Update p_series.py * Update p_series.py * Remove data_structures/stacks/next_greater_element.py| Co-authored-by: Christian Clauss <cclauss@me.com>
This commit is contained in:
parent
db5aa1d188
commit
a98465230f
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@ -1,34 +1,29 @@
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def mode(input_list: list) -> list: # Defining function "mode."
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from typing import Any
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def mode(input_list: list) -> list[Any]:
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"""This function returns the mode(Mode as in the measures of
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"""This function returns the mode(Mode as in the measures of
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central tendency) of the input data.
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central tendency) of the input data.
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The input list may contain any Datastructure or any Datatype.
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The input list may contain any Datastructure or any Datatype.
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>>> input_list = [2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2]
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>>> mode([2, 3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 2, 2, 2])
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>>> mode(input_list)
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[2]
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[2]
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>>> input_list = [3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 2, 2, 2]
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>>> mode([3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 2, 2, 2])
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>>> mode(input_list)
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[2]
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[2]
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>>> input_list = [3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 4, 2, 2, 4, 2]
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>>> mode([3, 4, 5, 3, 4, 2, 5, 2, 2, 4, 4, 4, 2, 2, 4, 2])
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>>> mode(input_list)
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[2, 4]
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[2, 4]
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>>> input_list = ["x", "y", "y", "z"]
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>>> mode(["x", "y", "y", "z"])
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>>> mode(input_list)
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['y']
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['y']
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>>> input_list = ["x", "x" , "y", "y", "z"]
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>>> mode(["x", "x" , "y", "y", "z"])
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>>> mode(input_list)
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['x', 'y']
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['x', 'y']
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"""
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"""
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result = list() # Empty list to store the counts of elements in input_list
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if not input_list:
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for x in input_list:
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result.append(input_list.count(x))
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if not result:
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return []
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return []
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y = max(result) # Gets the maximum value in the result list.
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result = [input_list.count(value) for value in input_list]
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y = max(result) # Gets the maximum count in the input list.
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# Gets values of modes
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# Gets values of modes
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result = {input_list[i] for i, value in enumerate(result) if value == y}
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return sorted({input_list[i] for i, value in enumerate(result) if value == y})
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return sorted(result)
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if __name__ == "__main__":
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if __name__ == "__main__":
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@ -2,7 +2,6 @@
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Gamma function is a very useful tool in math and physics.
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Gamma function is a very useful tool in math and physics.
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It helps calculating complex integral in a convenient way.
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It helps calculating complex integral in a convenient way.
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for more info: https://en.wikipedia.org/wiki/Gamma_function
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for more info: https://en.wikipedia.org/wiki/Gamma_function
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Python's Standard Library math.gamma() function overflows around gamma(171.624).
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Python's Standard Library math.gamma() function overflows around gamma(171.624).
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"""
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"""
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from math import pi, sqrt
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from math import pi, sqrt
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@ -71,7 +70,7 @@ if __name__ == "__main__":
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from doctest import testmod
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from doctest import testmod
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testmod()
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testmod()
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num = 1
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num = 1.0
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while num:
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while num:
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num = float(input("Gamma of: "))
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num = float(input("Gamma of: "))
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print(f"gamma({num}) = {gamma(num)}")
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print(f"gamma({num}) = {gamma(num)}")
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@ -1,6 +1,5 @@
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"""
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"""
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Calculate the nth Proth number
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Calculate the nth Proth number
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Source:
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Source:
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https://handwiki.org/wiki/Proth_number
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https://handwiki.org/wiki/Proth_number
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"""
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"""
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@ -12,22 +11,17 @@ def proth(number: int) -> int:
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"""
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"""
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:param number: nth number to calculate in the sequence
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:param number: nth number to calculate in the sequence
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:return: the nth number in Proth number
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:return: the nth number in Proth number
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Note: indexing starts at 1 i.e. proth(1) gives the first Proth number of 3
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Note: indexing starts at 1 i.e. proth(1) gives the first Proth number of 3
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>>> proth(6)
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>>> proth(6)
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25
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25
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>>> proth(0)
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>>> proth(0)
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Traceback (most recent call last):
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Traceback (most recent call last):
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...
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...
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ValueError: Input value of [number=0] must be > 0
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ValueError: Input value of [number=0] must be > 0
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>>> proth(-1)
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>>> proth(-1)
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Traceback (most recent call last):
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Traceback (most recent call last):
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...
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...
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ValueError: Input value of [number=-1] must be > 0
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ValueError: Input value of [number=-1] must be > 0
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>>> proth(6.0)
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>>> proth(6.0)
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Traceback (most recent call last):
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Traceback (most recent call last):
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...
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...
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@ -44,14 +38,12 @@ def proth(number: int) -> int:
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elif number == 2:
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elif number == 2:
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return 5
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return 5
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else:
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else:
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block_index = number // 3
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"""
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"""
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+1 for binary starting at 0 i.e. 2^0, 2^1, etc.
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+1 for binary starting at 0 i.e. 2^0, 2^1, etc.
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+1 to start the sequence at the 3rd Proth number
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+1 to start the sequence at the 3rd Proth number
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Hence, we have a +2 in the below statement
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Hence, we have a +2 in the below statement
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"""
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"""
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block_index = math.log(block_index, 2) + 2
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block_index = int(math.log(number // 3, 2)) + 2
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block_index = int(block_index)
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proth_list = [3, 5]
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proth_list = [3, 5]
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proth_index = 2
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proth_index = 2
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@ -66,6 +58,10 @@ def proth(number: int) -> int:
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if __name__ == "__main__":
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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for number in range(11):
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for number in range(11):
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value = 0
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value = 0
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try:
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try:
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"""
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"""
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This is a pure Python implementation of the Geometric Series algorithm
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This is a pure Python implementation of the Geometric Series algorithm
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https://en.wikipedia.org/wiki/Geometric_series
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https://en.wikipedia.org/wiki/Geometric_series
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Run the doctests with the following command:
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Run the doctests with the following command:
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python3 -m doctest -v geometric_series.py
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python3 -m doctest -v geometric_series.py
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or
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or
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"""
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"""
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def geometric_series(nth_term: int, start_term_a: int, common_ratio_r: int) -> list:
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from __future__ import annotations
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"""Pure Python implementation of Geometric Series algorithm
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def geometric_series(
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nth_term: float | int,
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start_term_a: float | int,
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common_ratio_r: float | int,
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) -> list[float | int]:
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"""
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Pure Python implementation of Geometric Series algorithm
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:param nth_term: The last term (nth term of Geometric Series)
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:param nth_term: The last term (nth term of Geometric Series)
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:param start_term_a : The first term of Geometric Series
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:param start_term_a : The first term of Geometric Series
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:param common_ratio_r : The common ratio between all the terms
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:param common_ratio_r : The common ratio between all the terms
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ration with first term with increase in power till last term (nth term)
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ration with first term with increase in power till last term (nth term)
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Examples:
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Examples:
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>>> geometric_series(4, 2, 2)
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>>> geometric_series(4, 2, 2)
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[2, '4.0', '8.0', '16.0']
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[2, 4.0, 8.0, 16.0]
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>>> geometric_series(4.0, 2.0, 2.0)
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>>> geometric_series(4.0, 2.0, 2.0)
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[2.0, '4.0', '8.0', '16.0']
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[2.0, 4.0, 8.0, 16.0]
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>>> geometric_series(4.1, 2.1, 2.1)
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>>> geometric_series(4.1, 2.1, 2.1)
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[2.1, '4.41', '9.261000000000001', '19.448100000000004']
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[2.1, 4.41, 9.261000000000001, 19.448100000000004]
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>>> geometric_series(4, 2, -2)
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>>> geometric_series(4, 2, -2)
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[2, '-4.0', '8.0', '-16.0']
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[2, -4.0, 8.0, -16.0]
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>>> geometric_series(4, -2, 2)
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>>> geometric_series(4, -2, 2)
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[-2, '-4.0', '-8.0', '-16.0']
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[-2, -4.0, -8.0, -16.0]
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>>> geometric_series(-4, 2, 2)
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>>> geometric_series(-4, 2, 2)
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[]
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[]
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>>> geometric_series(0, 100, 500)
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>>> geometric_series(0, 100, 500)
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>>> geometric_series(0, 0, 0)
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>>> geometric_series(0, 0, 0)
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[]
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[]
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"""
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"""
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if "" in (nth_term, start_term_a, common_ratio_r):
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if not all((nth_term, start_term_a, common_ratio_r)):
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return ""
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return []
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series = []
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series: list[float | int] = []
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power = 1
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power = 1
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multiple = common_ratio_r
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multiple = common_ratio_r
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for _ in range(int(nth_term)):
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for _ in range(int(nth_term)):
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series.append(start_term_a)
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series.append(start_term_a)
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else:
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else:
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power += 1
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power += 1
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series.append(str(float(start_term_a) * float(multiple)))
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series.append(float(start_term_a * multiple))
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multiple = pow(float(common_ratio_r), power)
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multiple = pow(float(common_ratio_r), power)
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return series
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return series
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if __name__ == "__main__":
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if __name__ == "__main__":
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nth_term = input("Enter the last number (n term) of the Geometric Series")
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import doctest
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start_term_a = input("Enter the starting term (a) of the Geometric Series")
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common_ratio_r = input(
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doctest.testmod()
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"Enter the common ratio between two terms (r) of the Geometric Series"
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nth_term = float(input("Enter the last number (n term) of the Geometric Series"))
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start_term_a = float(input("Enter the starting term (a) of the Geometric Series"))
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common_ratio_r = float(
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input("Enter the common ratio between two terms (r) of the Geometric Series")
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)
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)
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print("Formula of Geometric Series => a + ar + ar^2 ... +ar^n")
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print("Formula of Geometric Series => a + ar + ar^2 ... +ar^n")
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print(geometric_series(nth_term, start_term_a, common_ratio_r))
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print(geometric_series(nth_term, start_term_a, common_ratio_r))
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@ -1,48 +1,52 @@
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"""
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"""
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This is a pure Python implementation of the P-Series algorithm
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This is a pure Python implementation of the P-Series algorithm
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https://en.wikipedia.org/wiki/Harmonic_series_(mathematics)#P-series
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https://en.wikipedia.org/wiki/Harmonic_series_(mathematics)#P-series
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For doctests run following command:
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For doctests run following command:
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python -m doctest -v p_series.py
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python -m doctest -v p_series.py
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or
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or
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python3 -m doctest -v p_series.py
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python3 -m doctest -v p_series.py
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For manual testing run:
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For manual testing run:
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python3 p_series.py
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python3 p_series.py
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"""
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"""
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def p_series(nth_term: int, power: int) -> list:
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from __future__ import annotations
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"""Pure Python implementation of P-Series algorithm
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def p_series(nth_term: int | float | str, power: int | float | str) -> list[str]:
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"""
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Pure Python implementation of P-Series algorithm
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:return: The P-Series starting from 1 to last (nth) term
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:return: The P-Series starting from 1 to last (nth) term
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Examples:
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Examples:
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>>> p_series(5, 2)
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>>> p_series(5, 2)
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[1, '1/4', '1/9', '1/16', '1/25']
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['1', '1 / 4', '1 / 9', '1 / 16', '1 / 25']
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>>> p_series(-5, 2)
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>>> p_series(-5, 2)
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[]
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[]
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>>> p_series(5, -2)
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>>> p_series(5, -2)
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[1, '1/0.25', '1/0.1111111111111111', '1/0.0625', '1/0.04']
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['1', '1 / 0.25', '1 / 0.1111111111111111', '1 / 0.0625', '1 / 0.04']
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>>> p_series("", 1000)
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>>> p_series("", 1000)
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''
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['']
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>>> p_series(0, 0)
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>>> p_series(0, 0)
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[]
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[]
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>>> p_series(1, 1)
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>>> p_series(1, 1)
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[1]
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['1']
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"""
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"""
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if nth_term == "":
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if nth_term == "":
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return nth_term
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return [""]
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nth_term = int(nth_term)
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nth_term = int(nth_term)
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power = int(power)
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power = int(power)
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series = []
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series: list[str] = []
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for temp in range(int(nth_term)):
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for temp in range(int(nth_term)):
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series.append(f"1/{pow(temp + 1, int(power))}" if series else 1)
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series.append(f"1 / {pow(temp + 1, int(power))}" if series else "1")
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return series
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return series
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if __name__ == "__main__":
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if __name__ == "__main__":
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nth_term = input("Enter the last number (nth term) of the P-Series")
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import doctest
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power = input("Enter the power for P-Series")
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doctest.testmod()
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nth_term = int(input("Enter the last number (nth term) of the P-Series"))
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power = int(input("Enter the power for P-Series"))
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print("Formula of P-Series => 1+1/2^p+1/3^p ..... 1/n^p")
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print("Formula of P-Series => 1+1/2^p+1/3^p ..... 1/n^p")
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print(p_series(nth_term, power))
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print(p_series(nth_term, power))
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3
mypy.ini
3
mypy.ini
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@ -2,5 +2,4 @@
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ignore_missing_imports = True
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ignore_missing_imports = True
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install_types = True
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install_types = True
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non_interactive = True
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non_interactive = True
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exclude = (data_structures/stacks/next_greater_element.py|graphs/boruvka.py|graphs/breadth_first_search.py|graphs/breadth_first_search_2.py|graphs/check_cycle.py|graphs/finding_bridges.py|graphs/greedy_min_vertex_cover.py|graphs/random_graph_generator.py|maths/average_mode.py|maths/gamma_recursive.py|maths/proth_number.py|maths/series/geometric_series.py|maths/series/p_series.py|matrix_operation.py|other/least_recently_used.py|other/lfu_cache.py|other/lru_cache.py|searches/simulated_annealing.py|searches/ternary_search.py)
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exclude = (graphs/boruvka.py|graphs/breadth_first_search.py|graphs/breadth_first_search_2.py|graphs/check_cycle.py|graphs/finding_bridges.py|graphs/greedy_min_vertex_cover.py|graphs/random_graph_generator.py|matrix_operation.py|other/least_recently_used.py|other/lfu_cache.py|other/lru_cache.py|searches/simulated_annealing.py|searches/ternary_search.py)
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