mirror of
https://github.com/TheAlgorithms/Python.git
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7b996e2c22
* Replacing the generator with numpy vector operations from lu_decomposition.
* Revert "Replacing the generator with numpy vector operations from lu_decomposition."
This reverts commit ad217c6616
.
* Replacing the example in doctest with a less resource-intensive example.
163 lines
4.3 KiB
Python
163 lines
4.3 KiB
Python
"""
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Author : Alexander Pantyukhin
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Date : November 24, 2022
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Task:
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Given an m x n grid of characters board and a string word,
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return true if word exists in the grid.
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The word can be constructed from letters of sequentially adjacent cells,
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where adjacent cells are horizontally or vertically neighboring.
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The same letter cell may not be used more than once.
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Example:
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Matrix:
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---------
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|A|B|C|E|
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|S|F|C|S|
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|A|D|E|E|
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---------
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Word:
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"ABCCED"
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Result:
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True
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Implementation notes: Use backtracking approach.
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At each point, check all neighbors to try to find the next letter of the word.
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leetcode: https://leetcode.com/problems/word-search/
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"""
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def get_point_key(len_board: int, len_board_column: int, row: int, column: int) -> int:
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"""
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Returns the hash key of matrix indexes.
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>>> get_point_key(10, 20, 1, 0)
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200
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"""
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return len_board * len_board_column * row + column
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def exits_word(
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board: list[list[str]],
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word: str,
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row: int,
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column: int,
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word_index: int,
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visited_points_set: set[int],
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) -> bool:
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"""
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Return True if it's possible to search the word suffix
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starting from the word_index.
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>>> exits_word([["A"]], "B", 0, 0, 0, set())
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False
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"""
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if board[row][column] != word[word_index]:
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return False
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if word_index == len(word) - 1:
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return True
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traverts_directions = [(0, 1), (0, -1), (-1, 0), (1, 0)]
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len_board = len(board)
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len_board_column = len(board[0])
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for direction in traverts_directions:
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next_i = row + direction[0]
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next_j = column + direction[1]
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if not (0 <= next_i < len_board and 0 <= next_j < len_board_column):
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continue
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key = get_point_key(len_board, len_board_column, next_i, next_j)
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if key in visited_points_set:
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continue
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visited_points_set.add(key)
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if exits_word(board, word, next_i, next_j, word_index + 1, visited_points_set):
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return True
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visited_points_set.remove(key)
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return False
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def word_exists(board: list[list[str]], word: str) -> bool:
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"""
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>>> word_exists([["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], "ABCCED")
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True
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>>> word_exists([["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], "SEE")
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True
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>>> word_exists([["A","B","C","E"],["S","F","C","S"],["A","D","E","E"]], "ABCB")
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False
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>>> word_exists([["A"]], "A")
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True
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>>> word_exists([["B", "A", "A"], ["A", "A", "A"], ["A", "B", "A"]], "ABB")
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False
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>>> word_exists([["A"]], 123)
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Traceback (most recent call last):
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...
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ValueError: The word parameter should be a string of length greater than 0.
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>>> word_exists([["A"]], "")
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Traceback (most recent call last):
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...
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ValueError: The word parameter should be a string of length greater than 0.
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>>> word_exists([[]], "AB")
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Traceback (most recent call last):
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...
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ValueError: The board should be a non empty matrix of single chars strings.
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>>> word_exists([], "AB")
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Traceback (most recent call last):
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...
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ValueError: The board should be a non empty matrix of single chars strings.
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>>> word_exists([["A"], [21]], "AB")
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Traceback (most recent call last):
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...
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ValueError: The board should be a non empty matrix of single chars strings.
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"""
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# Validate board
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board_error_message = (
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"The board should be a non empty matrix of single chars strings."
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)
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len_board = len(board)
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if not isinstance(board, list) or len(board) == 0:
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raise ValueError(board_error_message)
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for row in board:
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if not isinstance(row, list) or len(row) == 0:
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raise ValueError(board_error_message)
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for item in row:
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if not isinstance(item, str) or len(item) != 1:
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raise ValueError(board_error_message)
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# Validate word
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if not isinstance(word, str) or len(word) == 0:
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raise ValueError(
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"The word parameter should be a string of length greater than 0."
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)
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len_board_column = len(board[0])
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for i in range(len_board):
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for j in range(len_board_column):
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if exits_word(
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board, word, i, j, 0, {get_point_key(len_board, len_board_column, i, j)}
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):
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return True
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return False
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if __name__ == "__main__":
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import doctest
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doctest.testmod()
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