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