class Header(object):
def __init__(self, data):
self.is_compressed = data[0] == 'C'
self.version = ord(data[3])
self.file_size = unpack('<L', data[4:8])[0]
if self.is_compressed:
data = data[:8] + zlib.decompress(data[8:])
self.data = data
self.frame_size = Rect(islice(data, 8, None))
index = 8 + self.frame_size.tell()
self.frame_rate = unpack('<H', data[index:index + 2])[0] / 256.0
self.frame_count = unpack('<H', data[index + 2:index + 4])[0]
self.end = index + 4
@property
def decompressed_data(self):
return self.data
def tell(self):
"""ヘッダが占めるバイト数を返す"""
return self.end
def __init__(self, data):
self.is_compressed = data[0] == 'C'
self.version = ord(data[3])
self.file_size = unpack('<L', data[4:8])[0]
if self.is_compressed:
data = data[:8] + zlib.decompress(data[8:])
self.data = data
self.frame_size = Rect(islice(data, 8, None))
index = 8 + self.frame_size.tell()
self.frame_rate = unpack('<H', data[index:index + 2])[0] / 256.0
self.frame_count = unpack('<H', data[index + 2:index + 4])[0]
self.end = index + 4
def find_helipad_radius(edges: CandidateEdges, roof: Roof) -> float:
# If polygon is defined in counterclockwise direction, then if we are moving right at the start,
# the first time we move up (Y) is when we start measuring the min X value. That is the largest
# possible X value for the right side. Once this is done for all four sides, take the difference
# between Xs and Ys, figure out which is greater and divide by 2 to get the radius.
largest_radius = -99.0
outline_points = roof.upper_right_points + roof.bottom_left_points
for left in edges.left:
for right in edges.right:
for top in edges.top:
for bottom in edges.bottom:
possible_location = Rect(left, top, right, bottom)
helipad_center = Point(left + (right - left) / 2, bottom + (top - bottom) / 2)
radius = find_largest_radius_inside(possible_location)
possible_helipad = Circle(helipad_center, radius)
points_inside = [point_in_circle(pt, possible_helipad) for pt in outline_points]
if not any(points_inside) and radius > largest_radius:
largest_radius = radius
return largest_radius
