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Create count negative numbers in matrix algorithm (#8813)
* updating DIRECTORY.md * feat: Count negative numbers in sorted matrix * updating DIRECTORY.md * chore: Fix pre-commit * refactor: Combine functions into iteration * style: Reformat reference * feat: Add timings of each implementation * chore: Fix problems with algorithms-keeper bot * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * test: Remove doctest from benchmark function * Update matrix/count_negative_numbers_in_sorted_matrix.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update matrix/count_negative_numbers_in_sorted_matrix.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update matrix/count_negative_numbers_in_sorted_matrix.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update matrix/count_negative_numbers_in_sorted_matrix.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update matrix/count_negative_numbers_in_sorted_matrix.py Co-authored-by: Christian Clauss <cclauss@me.com> * Update matrix/count_negative_numbers_in_sorted_matrix.py Co-authored-by: Christian Clauss <cclauss@me.com> * refactor: Use sum instead of large iteration * refactor: Use len not sum * Update count_negative_numbers_in_sorted_matrix.py --------- Co-authored-by: github-actions <${GITHUB_ACTOR}@users.noreply.github.com> Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com> Co-authored-by: Christian Clauss <cclauss@me.com>
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## Matrix
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## Matrix
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* [Binary Search Matrix](matrix/binary_search_matrix.py)
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* [Binary Search Matrix](matrix/binary_search_matrix.py)
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* [Count Islands In Matrix](matrix/count_islands_in_matrix.py)
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* [Count Islands In Matrix](matrix/count_islands_in_matrix.py)
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* [Count Negative Numbers In Sorted Matrix](matrix/count_negative_numbers_in_sorted_matrix.py)
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* [Count Paths](matrix/count_paths.py)
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* [Count Paths](matrix/count_paths.py)
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* [Cramers Rule 2X2](matrix/cramers_rule_2x2.py)
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* [Cramers Rule 2X2](matrix/cramers_rule_2x2.py)
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* [Inverse Of Matrix](matrix/inverse_of_matrix.py)
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* [Inverse Of Matrix](matrix/inverse_of_matrix.py)
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@ -753,6 +754,7 @@
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* [Potential Energy](physics/potential_energy.py)
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* [Potential Energy](physics/potential_energy.py)
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* [Rms Speed Of Molecule](physics/rms_speed_of_molecule.py)
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* [Rms Speed Of Molecule](physics/rms_speed_of_molecule.py)
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* [Shear Stress](physics/shear_stress.py)
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* [Shear Stress](physics/shear_stress.py)
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* [Speed Of Sound](physics/speed_of_sound.py)
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## Project Euler
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## Project Euler
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* Problem 001
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* Problem 001
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151
matrix/count_negative_numbers_in_sorted_matrix.py
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151
matrix/count_negative_numbers_in_sorted_matrix.py
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"""
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Given an matrix of numbers in which all rows and all columns are sorted in decreasing
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order, return the number of negative numbers in grid.
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Reference: https://leetcode.com/problems/count-negative-numbers-in-a-sorted-matrix
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"""
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def generate_large_matrix() -> list[list[int]]:
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"""
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>>> generate_large_matrix() # doctest: +ELLIPSIS
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[[1000, ..., -999], [999, ..., -1001], ..., [2, ..., -1998]]
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"""
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return [list(range(1000 - i, -1000 - i, -1)) for i in range(1000)]
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grid = generate_large_matrix()
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test_grids = (
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[[4, 3, 2, -1], [3, 2, 1, -1], [1, 1, -1, -2], [-1, -1, -2, -3]],
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[[3, 2], [1, 0]],
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[[7, 7, 6]],
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[[7, 7, 6], [-1, -2, -3]],
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grid,
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)
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def validate_grid(grid: list[list[int]]) -> None:
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"""
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Validate that the rows and columns of the grid is sorted in decreasing order.
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>>> for grid in test_grids:
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... validate_grid(grid)
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"""
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assert all(row == sorted(row, reverse=True) for row in grid)
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assert all(list(col) == sorted(col, reverse=True) for col in zip(*grid))
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def find_negative_index(array: list[int]) -> int:
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"""
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Find the smallest negative index
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>>> find_negative_index([0,0,0,0])
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4
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>>> find_negative_index([4,3,2,-1])
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3
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>>> find_negative_index([1,0,-1,-10])
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2
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>>> find_negative_index([0,0,0,-1])
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3
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>>> find_negative_index([11,8,7,-3,-5,-9])
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3
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>>> find_negative_index([-1,-1,-2,-3])
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0
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>>> find_negative_index([5,1,0])
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3
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>>> find_negative_index([-5,-5,-5])
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0
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>>> find_negative_index([0])
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1
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>>> find_negative_index([])
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0
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"""
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left = 0
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right = len(array) - 1
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# Edge cases such as no values or all numbers are negative.
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if not array or array[0] < 0:
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return 0
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while right + 1 > left:
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mid = (left + right) // 2
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num = array[mid]
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# Num must be negative and the index must be greater than or equal to 0.
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if num < 0 and array[mid - 1] >= 0:
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return mid
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if num >= 0:
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left = mid + 1
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else:
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right = mid - 1
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# No negative numbers so return the last index of the array + 1 which is the length.
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return len(array)
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def count_negatives_binary_search(grid: list[list[int]]) -> int:
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"""
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An O(m logn) solution that uses binary search in order to find the boundary between
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positive and negative numbers
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>>> [count_negatives_binary_search(grid) for grid in test_grids]
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[8, 0, 0, 3, 1498500]
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"""
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total = 0
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bound = len(grid[0])
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for i in range(len(grid)):
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bound = find_negative_index(grid[i][:bound])
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total += bound
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return (len(grid) * len(grid[0])) - total
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def count_negatives_brute_force(grid: list[list[int]]) -> int:
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"""
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This solution is O(n^2) because it iterates through every column and row.
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>>> [count_negatives_brute_force(grid) for grid in test_grids]
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[8, 0, 0, 3, 1498500]
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"""
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return len([number for row in grid for number in row if number < 0])
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def count_negatives_brute_force_with_break(grid: list[list[int]]) -> int:
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"""
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Similar to the brute force solution above but uses break in order to reduce the
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number of iterations.
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>>> [count_negatives_brute_force_with_break(grid) for grid in test_grids]
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[8, 0, 0, 3, 1498500]
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"""
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total = 0
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for row in grid:
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for i, number in enumerate(row):
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if number < 0:
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total += len(row) - i
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break
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return total
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def benchmark() -> None:
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"""Benchmark our functions next to each other"""
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from timeit import timeit
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print("Running benchmarks")
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setup = (
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"from __main__ import count_negatives_binary_search, "
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"count_negatives_brute_force, count_negatives_brute_force_with_break, grid"
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)
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for func in (
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"count_negatives_binary_search", # took 0.7727 seconds
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"count_negatives_brute_force_with_break", # took 4.6505 seconds
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"count_negatives_brute_force", # took 12.8160 seconds
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):
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time = timeit(f"{func}(grid=grid)", setup=setup, number=500)
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print(f"{func}() took {time:0.4f} seconds")
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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benchmark()
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