345 lines
9.0 KiB
Python
345 lines
9.0 KiB
Python
from copy import deepcopy
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from collections import defaultdict
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import math
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from typing import List, Dict, Tuple
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split_word_to_chr_list = lambda y: [w for w in y]
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split_word_to_int_list = lambda y: [int(w) for w in y]
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split_line_to_int_list = lambda y: [int(w) for w in y.split(" ") if w]
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def split_x_out(l):
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return [x for _, x in l]
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def split_y_out(l):
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return [y for y, _ in l]
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class colors:
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# HEADER = '\033[95m'
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BLUE = "\033[94m"
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GREEN = "\033[92m"
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YELLOW = "\033[93m"
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RED = "\033[91m"
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ENDC = "\033[0m"
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BLINK = "\033[5m"
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def apply_to_all(mx, func):
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for row_num, row in enumerate(mx):
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for col_num, val in enumerate(row):
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mx[row_num][col_num] = func(val)
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def rotate(m, right=True): # -90
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"""
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Takes a matrix, and rotates all of the values 90 degrees to the left
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"""
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x = list(zip(*m[::-1]))
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if right:
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return x
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return [list(reversed(y)) for y in x]
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def load_matrix_file(name, func=None):
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"""
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Open a file and split all space separated word lists to integers as a matrix
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"""
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with open(name, "r") as f:
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my_file = []
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for line in f:
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my_file.append(line.rstrip())
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if func:
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return [func(x) for x in my_file]
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return [split_word_to_int_list(x) for x in my_file]
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def find_in_matrix(mx, what, one=True):
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coords = []
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for row_num, row in enumerate(mx):
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for col_num, val in enumerate(row):
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if val == what:
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coord = (row_num, col_num)
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if one is True:
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return coord
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else:
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coords.append(coord)
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return coords
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def get_neighbors(matrix, x, y, _dict=False):
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neighbors = []
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# left
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try:
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if x - 1 >= 0:
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if _dict:
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neighbors.append({"x": x - 1, "y": y, "value": matrix[y][x - 1]})
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else:
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neighbors.append([(x - 1, y), matrix[y][x - 1]])
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except IndexError:
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pass
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# right
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try:
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if _dict:
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neighbors.append({"x": x + 1, "y": y, "value": matrix[y][x + 1]})
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else:
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neighbors.append([(x + 1, y), matrix[y][x + 1]])
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except IndexError:
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pass
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# up
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try:
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if y - 1 >= 0:
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if _dict:
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neighbors.append({"x": x, "y": y - 1, "value": matrix[y - 1][x]})
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else:
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neighbors.append([(x, y - 1), matrix[y - 1][x]])
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except IndexError:
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pass
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# down
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try:
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if _dict:
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neighbors.append({"x": x, "y": y + 1, "value": matrix[y + 1][x]})
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else:
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neighbors.append([(x, y + 1), matrix[y + 1][x]])
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except IndexError:
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pass
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return neighbors
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def valid_neighbors(matrix, x, y, criteria=None):
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if criteria is None:
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raise Exception("Please pass in a lambda for criteria")
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cur = matrix[y][x]
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neighbors = get_neighbors(matrix, x, y, _dict=True)
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valid = []
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for neighbor in neighbors:
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if criteria(cur, neighbor["value"]):
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valid.append(neighbor)
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return valid
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def sum_matrix(mtx):
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total = 0
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for row in mtx:
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total += sum(row)
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return total
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M_UL, M_U, M_UR = (-1, -1), (0, -1), (1, -1)
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M_L, M_R = (-1, 0), (1, 0)
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M_DL, M_D, M_DR = (-1, 1), (0, 1), (1, 1)
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def get_neighbor_coords(matrix, c, r, diagonals=True):
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height = len(matrix)
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width = len(matrix[0])
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if diagonals:
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coords = (M_UL, M_U, M_UR, M_L, M_R, M_DL, M_D, M_DR)
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else:
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coords = (M_U, M_L, M_R, M_D)
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neighbors = []
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for _c, _r in coords:
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try:
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value = matrix[r + _r][c + _c] # Try to get a value error
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if r + _r >= 0 and c + _c >= 0:
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neighbors.append(
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[{"c": c + _c, "r": r + _r}, value]
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) # woo, no error, this coord is valid
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except IndexError:
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pass # okay we out of bounds boizzzz
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return neighbors
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def line_of_sight_coords(
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matrix, row, col, distance=None
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) -> Dict[str, List[Tuple[int, int]]]:
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"""
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Takes a matrix, a row, and a column
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calculates the coordinates to the edge for all four cardinal directions
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returns a dict with a list of tuple coordes TRAVELING AWAY from the
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requested coordinate
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"""
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height, width = get_size(matrix)
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col_ids = list(range(0, height))
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row_ids = list(range(0, width))
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if distance:
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up_ids, down_ids = (
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list(reversed(col_ids[:col])),
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col_ids[col + 1 : col + distance + 1],
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)
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left_ids, right_ids = (
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list(reversed(row_ids[:row])),
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row_ids[row + 1 : row + distance + 1],
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)
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else:
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up_ids, down_ids = list(reversed(col_ids[:col])), col_ids[col + 1 :]
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left_ids, right_ids = list(reversed(row_ids[:row])), row_ids[row + 1 :]
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left = [(r, col) for r in left_ids]
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right = [(r, col) for r in right_ids]
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up = [(row, c) for c in up_ids]
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down = [(row, c) for c in down_ids]
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return {
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"U": up,
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"L": left,
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"D": down,
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"R": right,
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}
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def line_of_sight(mx, row, col, distance=None):
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"""
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renders a line of sight coord calculation, into the values
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"""
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coords = line_of_sight_coords(mx, row, col, distance)
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los = defaultdict(list)
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for k, ids in coords.items():
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for _row, _col in ids:
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los[k].append(mx[_row][_col])
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return los
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def coords_between_points(point1, point2):
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y1, x1 = point1
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y2, x2 = point2
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coords = []
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x = 0
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y = 0
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if x2 < x1:
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y = point1[0]
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for _x in range(x2, x1 + 1):
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coords.append((y, _x))
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elif x1 < x2:
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y = point1[0]
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for _x in range(x1, x2 + 1):
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coords.append((y, _x))
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elif y2 < y1:
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x = point1[1]
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for _y in range(y2, y1 + 1):
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coords.append((_y, x))
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elif y1 < y2:
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x = point1[1]
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for _y in range(y1, y2 + 1):
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coords.append((_y, x))
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return coords
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def get_size(matrix):
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height = len(matrix)
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width = len(matrix[0])
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return height, width
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def row_col_from_int(matrix, x):
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h, w = get_size(matrix)
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col = x % w
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row = x // h
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return row, col
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def matrix_of_size(width, height, default=0):
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return [[default] * width for x in range(height)]
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def set_matrix_dict(m):
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for x in range(len(m)):
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for y in range(len(m[x])):
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m[x][y] = {}
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return m
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def pmx(*matrices, pad=True, space=True):
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"""
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print a matrix of integers, zero turns to `.` for clarity
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"""
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if len(matrices) > 1:
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matrices = list(zip(*matrices))
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for row in matrices:
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r = []
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for col in row:
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r.append("".join([f"{int(x)or '.'}".rjust(3) for x in col]))
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print(" ".join(r))
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else:
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for row in matrices:
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for c in row:
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if pad:
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f = lambda x: f"{int(x)or '.'}".rjust(2)
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if space:
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f = lambda x: f"{int(x)or '.'}".rjust(3)
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else:
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f = lambda x: f"{int(x)or '.'}"
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if space:
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f = lambda x: f"{int(x)or '.'} "
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print("".join([f(x) for x in c]))
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def ppmx(*matrices, pad=True, space=True, zero="."):
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"""
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print a matrix of anything, Falsy values turns to `.` for clarity
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"""
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out = []
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if len(matrices) > 1:
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matrices = list(zip(*matrices))
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for row in matrices:
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r = []
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for col in row:
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r.append("".join([f"{x or zero}".rjust(3) for x in col]))
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out.append(" ".join(r))
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else:
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for row in matrices:
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for c in row:
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if pad:
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f = lambda x: f"{x or zero}".rjust(2)
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if space:
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f = lambda x: f"{x or zero}".rjust(3)
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else:
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f = lambda x: f"{x or zero}"
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if space:
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f = lambda x: f"{x or zero} "
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out.append("".join([f(x) for x in c]))
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return "\n".join(out)
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def view_matrix(matrix, y1, x1, y2, x2):
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lines = ppmx(matrix, pad=0, space=0).split("\n")
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for line in lines[y1 : y2 + 1]:
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print(line[x1:x2])
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def highlight(matrix, red=[], green=[], blue=[], blink_green=[]):
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"""
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print a matrix of anything, Falsy values turns to `.` for clarity
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"""
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mx = deepcopy(matrix)
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for (y, x) in red:
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if (y, x) in blue or (y, x) in green or (y, x) in blink_green:
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continue
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new = f"{colors.RED}{mx[y][x]}{colors.ENDC}"
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mx[y][x] = new
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for (y, x) in green:
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if (y, x) in blue or (y, x) in blink_green:
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continue
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new = f"{colors.GREEN}{mx[y][x]}{colors.ENDC}"
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mx[y][x] = new
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for (y, x) in blue:
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if (y, x) in blink_green:
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continue
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new = f"{colors.BLUE}{mx[y][x]}{colors.ENDC}"
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mx[y][x] = new
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for (y, x) in blink_green:
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new = f"{colors.BLINK}{colors.GREEN}{mx[y][x]}{colors.ENDC}"
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mx[y][x] = new
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print(ppmx(mx, pad=False, space=True, zero="0"))
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