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python-pathfinding/pathfinding/core/grid.py at python2 · brean/python-pathfinding · GitHub
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grid.py
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pathfinding
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core
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grid.py
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# -*- coding: utf-8 -*-
from
.
diagonal_movement
import
DiagonalMovement
from
.
node
import
Node
try
:
import
numpy
as
np
USE_NUMPY
=
True
except
ImportError
:
USE_NUMPY
=
False
def
build_nodes
(
width
,
height
,
matrix
=
None
,
inverse
=
False
):
"""
create nodes according to grid size. If a matrix is given it
will be used to determine what nodes are walkable.
:rtype : list
"""
nodes
=
[]
use_matrix
=
(
isinstance
(
matrix
, (
tuple
,
list
)))
or
\
(
USE_NUMPY
and
isinstance
(
matrix
,
np
.
ndarray
)
and
matrix
.
size
>
0
)
for
y
in
range
(
height
):
nodes
.
append
([])
for
x
in
range
(
width
):
# 0, '0', False will be obstacles
# all other values mark walkable cells.
# you can use values bigger then 1 to assign a weight.
# If inverse is False it changes
# (1 and up becomes obstacle and 0 or everything negative marks a
# free cells)
weight
=
int
(
matrix
[
y
][
x
])
if
use_matrix
else
1
walkable
=
weight
<=
0
if
inverse
else
weight
>=
1
nodes
[
y
].
append
(
Node
(
x
=
x
,
y
=
y
,
walkable
=
walkable
,
weight
=
weight
))
return
nodes
class
Grid
(
object
):
def
__init__
(
self
,
width
=
0
,
height
=
0
,
matrix
=
None
,
inverse
=
False
):
"""
a grid represents the map (as 2d-list of nodes).
"""
self
.
width
=
width
self
.
height
=
height
self
.
passable_left_right_border
=
False
self
.
passable_up_down_border
=
False
if
isinstance
(
matrix
, (
tuple
,
list
))
or
(
USE_NUMPY
and
isinstance
(
matrix
,
np
.
ndarray
)
and
matrix
.
size
>
0
):
self
.
height
=
len
(
matrix
)
self
.
width
=
self
.
width
=
len
(
matrix
[
0
])
if
self
.
height
>
0
else
0
if
self
.
width
>
0
and
self
.
height
>
0
:
self
.
nodes
=
build_nodes
(
self
.
width
,
self
.
height
,
matrix
,
inverse
)
else
:
self
.
nodes
=
[[]]
def
set_passable_left_right_border
(
self
):
self
.
passable_left_right_border
=
True
def
set_passable_up_down_border
(
self
):
self
.
passable_up_down_border
=
True
def
node
(
self
,
x
,
y
):
"""
get node at position
:param x: x pos
:param y: y pos
:return:
"""
return
self
.
nodes
[
y
][
x
]
def
inside
(
self
,
x
,
y
):
"""
check, if field position is inside map
:param x: x pos
:param y: y pos
:return:
"""
return
0
<=
x
<
self
.
width
and
0
<=
y
<
self
.
height
def
walkable
(
self
,
x
,
y
):
"""
check, if the tile is inside grid and if it is set as walkable
"""
return
self
.
inside
(
x
,
y
)
and
self
.
nodes
[
y
][
x
].
walkable
def
neighbors
(
self
,
node
,
diagonal_movement
=
DiagonalMovement
.
never
):
"""
get all neighbors of one node
:param node: node
"""
x
=
node
.
x
y
=
node
.
y
neighbors
=
[]
s0
=
d0
=
s1
=
d1
=
s2
=
d2
=
s3
=
d3
=
False
# ↑
if
y
==
0
and
self
.
passable_up_down_border
:
if
self
.
walkable
(
x
,
self
.
height
-
1
):
neighbors
.
append
(
self
.
nodes
[
self
.
height
-
1
][
x
])
s0
=
True
else
:
if
self
.
walkable
(
x
,
y
-
1
):
neighbors
.
append
(
self
.
nodes
[
y
-
1
][
x
])
s0
=
True
# →
if
x
==
self
.
width
-
1
and
self
.
passable_left_right_border
:
if
self
.
walkable
(
0
,
y
):
neighbors
.
append
(
self
.
nodes
[
y
][
0
])
s1
=
True
else
:
if
self
.
walkable
(
x
+
1
,
y
):
neighbors
.
append
(
self
.
nodes
[
y
][
x
+
1
])
s1
=
True
# ↓
if
y
==
self
.
height
-
1
and
self
.
passable_up_down_border
:
if
self
.
walkable
(
x
,
0
):
neighbors
.
append
(
self
.
nodes
[
0
][
x
])
s2
=
True
else
:
if
self
.
walkable
(
x
,
y
+
1
):
neighbors
.
append
(
self
.
nodes
[
y
+
1
][
x
])
s2
=
True
# ←
if
x
==
0
and
self
.
passable_left_right_border
:
if
self
.
walkable
(
self
.
width
-
1
,
y
):
neighbors
.
append
(
self
.
nodes
[
y
][
self
.
width
-
1
])
s3
=
True
else
:
if
self
.
walkable
(
x
-
1
,
y
):
neighbors
.
append
(
self
.
nodes
[
y
][
x
-
1
])
s3
=
True
if
diagonal_movement
==
DiagonalMovement
.
never
:
return
neighbors
if
diagonal_movement
==
DiagonalMovement
.
only_when_no_obstacle
:
d0
=
s3
and
s0
d1
=
s0
and
s1
d2
=
s1
and
s2
d3
=
s2
and
s3
elif
diagonal_movement
==
DiagonalMovement
.
if_at_most_one_obstacle
:
d0
=
s3
or
s0
d1
=
s0
or
s1
d2
=
s1
or
s2
d3
=
s2
or
s3
elif
diagonal_movement
==
DiagonalMovement
.
always
:
d0
=
d1
=
d2
=
d3
=
True
# ↖
if
d0
and
self
.
walkable
(
x
-
1
,
y
-
1
):
neighbors
.
append
(
self
.
nodes
[
y
-
1
][
x
-
1
])
# ↗
if
d1
and
self
.
walkable
(
x
+
1
,
y
-
1
):
neighbors
.
append
(
self
.
nodes
[
y
-
1
][
x
+
1
])
# ↘
if
d2
and
self
.
walkable
(
x
+
1
,
y
+
1
):
neighbors
.
append
(
self
.
nodes
[
y
+
1
][
x
+
1
])
# ↙
if
d3
and
self
.
walkable
(
x
-
1
,
y
+
1
):
neighbors
.
append
(
self
.
nodes
[
y
+
1
][
x
-
1
])
return
neighbors
def
cleanup
(
self
):
for
y_nodes
in
self
.
nodes
:
for
node
in
y_nodes
:
node
.
cleanup
()
def
grid_str
(
self
,
path
=
None
,
start
=
None
,
end
=
None
,
border
=
True
,
start_chr
=
's'
,
end_chr
=
'e'
,
path_chr
=
'x'
,
empty_chr
=
' '
,
block_chr
=
'#'
,
show_weight
=
False
):
"""
create a printable string from the grid using ASCII characters
:param path: list of nodes that show the path
:param start: start node
:param end: end node
:param border: create a border around the grid
:param start_chr: character for the start (default "s")
:param end_chr: character for the destination (default "e")
:param path_chr: character to show the path (default "x")
:param empty_chr: character for empty fields (default " ")
:param block_chr: character for blocking elements (default "#")
:param show_weight: instead of empty_chr show the cost of each empty
field (shows a + if the value of weight is > 10)
:return:
"""
data
=
''
if
border
:
data
=
'+{}+'
.
format
(
'-'
*
len
(
self
.
nodes
[
0
]))
for
y
in
range
(
len
(
self
.
nodes
)):
line
=
''
for
x
in
range
(
len
(
self
.
nodes
[
y
])):
node
=
self
.
nodes
[
y
][
x
]
if
node
==
start
:
line
+=
start_chr
elif
node
==
end
:
line
+=
end_chr
elif
path
and
((
node
.
x
,
node
.
y
)
in
path
or
node
in
path
):
line
+=
path_chr
elif
node
.
walkable
:
# empty field
weight
=
str
(
node
.
weight
)
if
node
.
weight
<
10
else
'+'
line
+=
weight
if
show_weight
else
empty_chr
else
:
line
+=
block_chr
# blocked field
if
border
:
line
=
'|'
+
line
+
'|'
if
data
:
data
+=
'
\n
'
data
+=
line
if
border
:
data
+=
'
\n
+{}+'
.
format
(
'-'
*
len
(
self
.
nodes
[
0
]))
return
data
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