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Reduce the complexity of linear_algebra/src/polynom_for_points.py (Th…
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…eAlgorithms#7948)

* updating DIRECTORY.md

* updating DIRECTORY.md

* updating DIRECTORY.md

* Lower the --max-complexity threshold in the file .flake8

* Reduce the complexity of linear_algebra/src/polynom_for_points.py

* Update linear_algebra/src/polynom_for_points.py

Co-authored-by: Christian Clauss <[email protected]>

* Update linear_algebra/src/polynom_for_points.py

Co-authored-by: Christian Clauss <[email protected]>

* Fix

Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com>
Co-authored-by: Christian Clauss <[email protected]>
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3 people authored Nov 2, 2022
1 parent 45b3383 commit db5215f
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2 changes: 1 addition & 1 deletion .flake8
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
[flake8]
max-line-length = 88
# max-complexity should be 10
max-complexity = 23
max-complexity = 21
extend-ignore =
# Formatting style for `black`
E203 # Whitespace before ':'
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139 changes: 61 additions & 78 deletions linear_algebra/src/polynom_for_points.py
Original file line number Diff line number Diff line change
Expand Up @@ -24,96 +24,79 @@ def points_to_polynomial(coordinates: list[list[int]]) -> str:
>>> print(points_to_polynomial([[1, 5], [2, 2], [3, 9]]))
f(x)=x^2*5.0+x^1*-18.0+x^0*18.0
"""
try:
check = 1
more_check = 0
d = coordinates[0][0]
for j in range(len(coordinates)):
if j == 0:
continue
if d == coordinates[j][0]:
more_check += 1
solved = "x=" + str(coordinates[j][0])
if more_check == len(coordinates) - 1:
check = 2
break
elif more_check > 0 and more_check != len(coordinates) - 1:
check = 3
else:
check = 1
if len(coordinates) == 0 or not all(len(pair) == 2 for pair in coordinates):
return "The program cannot work out a fitting polynomial."

if len({tuple(pair) for pair in coordinates}) != len(coordinates):
return "The program cannot work out a fitting polynomial."

if len(coordinates) == 1 and coordinates[0][0] == 0:
check = 2
solved = "x=0"
except Exception:
check = 3
set_x = {x for x, _ in coordinates}
if len(set_x) == 1:
return f"x={coordinates[0][0]}"

if len(set_x) != len(coordinates):
return "The program cannot work out a fitting polynomial."

x = len(coordinates)

if check == 1:
count_of_line = 0
matrix: list[list[float]] = []
# put the x and x to the power values in a matrix
while count_of_line < x:
count_in_line = 0
a = coordinates[count_of_line][0]
count_line: list[float] = []
while count_in_line < x:
count_line.append(a ** (x - (count_in_line + 1)))
count_in_line += 1
matrix.append(count_line)
count_of_line += 1
count_of_line = 0
matrix: list[list[float]] = []
# put the x and x to the power values in a matrix
while count_of_line < x:
count_in_line = 0
a = coordinates[count_of_line][0]
count_line: list[float] = []
while count_in_line < x:
count_line.append(a ** (x - (count_in_line + 1)))
count_in_line += 1
matrix.append(count_line)
count_of_line += 1

count_of_line = 0
# put the y values into a vector
vector: list[float] = []
while count_of_line < x:
vector.append(coordinates[count_of_line][1])
count_of_line += 1
count_of_line = 0
# put the y values into a vector
vector: list[float] = []
while count_of_line < x:
vector.append(coordinates[count_of_line][1])
count_of_line += 1

count = 0
count = 0

while count < x:
zahlen = 0
while zahlen < x:
if count == zahlen:
zahlen += 1
if zahlen == x:
break
bruch = matrix[zahlen][count] / matrix[count][count]
for counting_columns, item in enumerate(matrix[count]):
# manipulating all the values in the matrix
matrix[zahlen][counting_columns] -= item * bruch
# manipulating the values in the vector
vector[zahlen] -= vector[count] * bruch
while count < x:
zahlen = 0
while zahlen < x:
if count == zahlen:
zahlen += 1
count += 1

count = 0
# make solutions
solution: list[str] = []
while count < x:
solution.append(str(vector[count] / matrix[count][count]))
count += 1
if zahlen == x:
break
bruch = matrix[zahlen][count] / matrix[count][count]
for counting_columns, item in enumerate(matrix[count]):
# manipulating all the values in the matrix
matrix[zahlen][counting_columns] -= item * bruch
# manipulating the values in the vector
vector[zahlen] -= vector[count] * bruch
zahlen += 1
count += 1

count = 0
solved = "f(x)="
count = 0
# make solutions
solution: list[str] = []
while count < x:
solution.append(str(vector[count] / matrix[count][count]))
count += 1

while count < x:
remove_e: list[str] = solution[count].split("E")
if len(remove_e) > 1:
solution[count] = remove_e[0] + "*10^" + remove_e[1]
solved += "x^" + str(x - (count + 1)) + "*" + str(solution[count])
if count + 1 != x:
solved += "+"
count += 1
count = 0
solved = "f(x)="

return solved
while count < x:
remove_e: list[str] = solution[count].split("E")
if len(remove_e) > 1:
solution[count] = f"{remove_e[0]}*10^{remove_e[1]}"
solved += f"x^{x - (count + 1)}*{solution[count]}"
if count + 1 != x:
solved += "+"
count += 1

elif check == 2:
return solved
else:
return "The program cannot work out a fitting polynomial."
return solved


if __name__ == "__main__":
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