def scaled_stack_exists(folder, sf, pixel_size):
for im_path in listdir(folder):
im_name, im_ext = splitext(im_path)
if im_ext not in ['.nrrd', '.tiff', '.tif']:
continue
split_path = im_name.split('_')
sf_index = split_path.index('scaled') + 1
pixel_index = split_path.index('pixel') + 1
im_sf = strconv.convert(split_path[sf_index])
try:
float(im_sf)
except ValueError:
print(
"Scaled image has a non-deafult scaling format within its name"
)
sys.exit()
im_pixel = float(split_path[pixel_index])
if abs(im_sf - sf) < 0.1 and abs(im_pixel - pixel_size) < 0.1:
return True
return False
def __init__(self, file_path):
from strconv import convert
from configparser import ConfigParser
conf = ConfigParser()
conf.read(file_path)
for section in conf.sections():
elem = _Section()
setattr(AutoConfig, section, elem)
for (k, v) in conf.items(section):
setattr(elem, k, convert(v))
def test_convert(self):
self.assertEqual(strconv.convert('-3'), -3)
self.assertEqual(strconv.convert('+0.4'), 0.4)
self.assertEqual(strconv.convert('true'), True)
self.assertEqual(strconv.convert('3/20/2013'), date(2013, 3, 20))
self.assertEqual(strconv.convert('5:40 PM'), time(17, 40))
self.assertEqual(strconv.convert('March 4, 2013 5:40 PM'),
datetime(2013, 3, 4, 17, 40, 0))
self.assertEqual(strconv.convert('March 4, 2013 12:00 AM'),
datetime(2013, 3, 4, 0, 0))
def send_multiple_packets(sock, datas,
wait_time=config['read_telemetry'].getfloat('cmd_wait_time')):
packets = ''
for data in datas:
data = data.strip().split(' ')
cmd = data[0]
packet = multiwii.tx_generate(cmd,
*[strconv.convert(d) for d in data[1:]])
packets += packet
print('|', cmd, packet.encode('hex'))
sock.send(packets)
print('<', sock.recv(recv_buffer))
def send_multiple_packets(
sock, datas, wait_time=config['read_telemetry'].getfloat('cmd_wait_time')):
packets = ''
for data in datas:
data = data.strip().split(' ')
cmd = data[0]
packet = multiwii.tx_generate(cmd,
*[strconv.convert(d) for d in data[1:]])
packets += packet
print('|', cmd, packet.encode('hex'))
sock.send(packets)
print('<', sock.recv(recv_buffer))
def __init__(self, attrs):
for key in attrs.keys():
try:
attrs[key] = strconv.convert(attrs[key])
except:
pass
try:
if key.endswith('s'):
if ',' in attrs[key]:
attrs[key] = attrs[key].split(',')
except:
pass
self.__dict__.update(**attrs)
def inferType(key, value):
if isinstance(value, list):
res = []
for v in value:
if type(v) is str:
v = str(v.decode('string_escape'))
inferred = strconv.infer(v)
#print 'List - ', key, ': ', inferred
if (inferred is None) or re.match('^date', inferred):
res.append(str(v))
else:
res.append(str(strconv.convert(v)))
#print key, ' result: ', [type(r) for r in res]
res = res[0] if len(res) == 1 else ";".join(res)
else:
if type(value) is str:
value = str(value.decode('string_escape'))
inferred = strconv.infer(value)
#print 'Single - ', key, ': ', inferred
if (inferred is None) or re.match('^date', inferred):
res = value
else:
res = strconv.convert(value)
#print key, ' result: ', type(res)
return res
def make_kwargs_dict(kwargs_list):
"""Transforms a list of keyword arguments into a keyword arguments
dictionary. Splits on the "=" symbol.
E.g. ["first=1", "second=2", "third=3"] gets transformed into
{"first": 1, "second": 2, "third": 3}.
Arguments:
kwargs_list {list} -- list of keyword arguments
Returns:
dict -- dictionary of keyword arguments
"""
kwargs_dict = {
# key -> value converted as the correct type
kwarg.split("=")[0]: convert(kwarg.split("=")[1])
for kwarg in kwargs_list
}
return kwargs_dict
def scaled_stack_exists(folder, sf, pixel_size):
for im_path in listdir(folder):
im_name, im_ext = splitext(im_path)
if im_ext not in ['.nrrd', '.tiff', '.tif']:
continue
split_path = im_name.split('_')
try:
sf_index = split_path.index('scaled') + 1
except ValueError:
raise ValueError(
"'_scaled_ is not in the filename: {}".format(im_name))
try:
pixel_index = split_path.index('pixel') + 1
except ValueError:
raise ValueError(
"'_pixel_' is not in the filename: {}".format(im_name))
im_sf = strconv.convert(split_path[sf_index])
try:
float(im_sf)
except ValueError:
print((
"Scaled image {} has a non-deafult scaling format within its name"
.format(im_name)))
return False
im_pixel = float(split_path[pixel_index])
if abs(im_sf - sf) < 0.1 and abs(im_pixel - pixel_size) < 0.1:
return True
return False
def test_convert_include_type(self):
self.assertEqual(strconv.convert('-3', include_type=True), (-3, 'int'))
