def test():
print 'here we go'
# while s.read(100000):
# print 'flush serial'
uc = uControl()
# junk = s.read(1000)
print 'here'
try:
print 'uc.cuff_pressure', uc.cuff_pressure
print 'maintain()'
uc.maintain(200, 230, 3)
uc.record(True)
print 'len(uc.hirate)', len(uc.hirate)
while uc.pump_state:
print 'uc.cuff_pressure', uc.cuff_pressure
serial_interact()
print 'deflate'
uc.deflate(40)
uc.record(False)
print 'len(uc.hirate)', len(uc.hirate)
hirate = array(uc.hirate)
if len(uc.hirate) > 0:
dt = 0.004
n_tap = 100
lp_taps = util.get_lowpass_taps(5, dt, n_tap)
llp_taps = util.get_lowpass_taps(.25, dt, n_tap)
lpd = util.filter(hirate[:, 1] - hirate[0, 1],
lp_taps)[::10] + hirate[0, 1]
llpd = util.filter(hirate[:, 1] - hirate[0, 1],
llp_taps)[::10] + hirate[0, 1]
print len(lpd)
times = hirate[::10, 0]
ax = pylab.subplot(211)
pylab.plot(times, lpd)
pylab.plot(times, llpd)
pylab.subplot(212, sharex=ax)
pylab.plot(times, lpd - llpd)
pfn = 'hirate.pkl'
pickle.dump(hirate, open(pfn, 'w'))
print 'write', pfn
# pylab.figure(2); pylab.plot(uc.lpf.out)
# pylab.figure(3); pylab.plot(hirate[:,1])
print 'done'
finally:
uc.deflate(50)
send_cmd(pump_rate=False, valve=getValveByte(valve0=True))
time.sleep(2)
send_cmd(pump_rate=False, valve=getValveByte(valve0=False), interval=0)
pylab.show()
def main(filename):
minn_score = "NA"
directory, fn = os.path.split(filename)
notes_fn = os.path.join(directory, "Notes.txt")
if os.path.exists(notes_fn):
minn_notes = open(notes_fn).readlines()
for line in minn_notes:
keyval = line.upper().split()
if len(keyval) != 2:
continue
key, val = line.upper().split()
if key == "SCORE":
minn_score = "%s.0%%" % (val)
break
figure(7)
clf()
title("Arterial compliance vs transmural pressure\n%s" % directory)
ucontrol = unpickle(open(filename))
norm = ucontrol.normal
amb_temp_n = ucontrol.normal_temp
amb_temp_n = 21
amb_pressure_n = ucontrol.normal_pressure
amb_pressure_n = 728.0
hype = ucontrol.hyper
amb_temp_h = ucontrol.hyper_temp
amb_temp_h = amb_temp_h
amb_pressure_h = ucontrol.hyper_pressure
amb_pressure_h = amb_pressure_n
n_skip = 750
gage_n = array([l[1] for l in norm]) ## pressure in mmhg
lpg_n = util.filter(gage_n - gage_n[0], LP_TAPS) + gage_n[0]
llpg_n = util.filter(gage_n - gage_n[0], LLP_TAPS) + gage_n[0]
gage_h = array([l[1] for l in hype]) ## pressure in mmhg
lpg_h = util.filter(gage_h - gage_h[0], LP_TAPS) + gage_h[0]
llpg_h = util.filter(gage_h - gage_h[0], LLP_TAPS) + gage_h[0]
flow_n = util.filter(array([l[2] for l in norm]), DELAY_TAPS)
flow_h = util.filter(array([l[2] for l in hype]), DELAY_TAPS)
gage_n = util.filter(gage_n, DELAY_TAPS)
gage_h = util.filter(gage_h, DELAY_TAPS)
gage_n = gage_n[n_skip:]
gage_h = gage_h[n_skip:]
lpg_n = lpg_n[n_skip:]
lpg_h = lpg_h[n_skip:]
llpg_n = llpg_n[n_skip:]
llpg_h = llpg_h[n_skip:]
flow_n = flow_n[n_skip:]
flow_h = flow_h[n_skip:]
ac1, tp1, SBP, DBP, MAP, HR, cba = get_arterial_compliance(
flow_n, llpg_n, lpg_n, amb_temp_n, amb_pressure_n, cba=None
)
print os.path.split(filename)[0], "\t%.0f\t%.0f" % (SBP, DBP)
def test():
print 'here we go'
# while s.read(100000):
# print 'flush serial'
uc = uControl()
# junk = s.read(1000)
print 'here'
try:
print 'uc.cuff_pressure', uc.cuff_pressure
print 'maintain()'
uc.maintain(200, 230, 3)
uc.record(True)
print 'len(uc.hirate)', len(uc.hirate)
while uc.pump_state:
print 'uc.cuff_pressure', uc.cuff_pressure
serial_interact()
print 'deflate'
uc.deflate(40)
uc.record(False)
print 'len(uc.hirate)', len(uc.hirate)
hirate = array(uc.hirate)
if len(uc.hirate) > 0:
dt = 0.004
n_tap = 100
lp_taps = util.get_lowpass_taps(5, dt, n_tap)
llp_taps = util.get_lowpass_taps(.25, dt, n_tap)
lpd = util.filter(hirate[:,1] - hirate[0, 1], lp_taps)[::10] + hirate[0, 1]
llpd = util.filter(hirate[:,1] - hirate[0, 1], llp_taps)[::10] + hirate[0, 1]
print len(lpd)
times = hirate[::10,0]
ax = pylab.subplot(211)
pylab.plot(times, lpd)
pylab.plot(times, llpd)
pylab.subplot(212, sharex=ax)
pylab.plot(times, lpd - llpd)
pfn = 'hirate.pkl'
pickle.dump(hirate, open(pfn, 'w'))
print 'write', pfn
# pylab.figure(2); pylab.plot(uc.lpf.out)
# pylab.figure(3); pylab.plot(hirate[:,1])
print 'done'
finally:
uc.deflate(50)
send_cmd(pump_rate=False, valve=getValveByte(valve0=True))
time.sleep(2)
send_cmd(pump_rate=False, valve=getValveByte(valve0=False), interval=0)
pylab.show()
def restaurants():
if request.method == "POST":
form = request.form
details = form['details']
session['details'] = details
details = [c.strip() for c in details.strip().strip(',').split(';')]
#address radius ratings categories
address = details[0]
radius = int(details[1]) * 1609
rating = details[2]
types = [d.strip() for d in details[3].split(',')]
session['setrad'] = details[1]
session['setrating'] = rating
session['addr'] = address
if 'types' in session:
session['types'] += types
else:
session['types'] = types
results = util.filter(address, radius, types, rating)
cats = util.getTypes(address, radius)
i = 0
while i < len(cats):
if cats[i] in session['types']:
cats.pop(i)
else:
i += 1
for result in results:
result['category'] = catformat(result['category'])
return render_template(
'restaurants.html', results=results, categories=cats)
return redirect('/index')
def history(location="", restaurant="", category="", rating=0):
if location == "":
return redirect('/index')
# if request.method == "POST":
# form = request.form
# rating = form['rating']
# session['rating'] = rating
# util.setrating(session['user'], rating, location, restaurant, category)
#rating = util.getrating(location)
session['rating'] = rating
# if len(rating) > 0:
# rating = reduce(lambda x, y: x+y, rating)/len(rating)
# rating = int(rating * 10) / 10.
#else:
damn = util.filter(session['addr'], 10000)
damn = damn[random.randrange(len(damn))]
print damn
damn = '/history/%s,%s/%s/%s/%s' % (
damn['location'][0], damn['location'][1], damn['name'],
catformat(damn['category']), damn['rating'])
return render_template('rating.html',
restaurant=restaurant,
location=location.split(','),
category=category.split(','),
randomurl=damn)
def restaurants():
if request.method == "POST":
form = request.form
details = form['details']
session['details'] = details
details = [c.strip() for c in details.strip().strip(',').split(';')]
#address radius ratings categories
address = details[0]
radius = int(details[1]) * 1609
rating = details[2]
types = [d.strip() for d in details[3].split(',')]
session['setrad'] = details[1]
session['setrating'] = rating
session['addr'] = address
if 'types' in session:
session['types'] += types
else:
session['types'] = types
results = util.filter(address, radius, types, rating)
cats = util.getTypes(address, radius)
i = 0
while i < len(cats):
if cats[i] in session['types']:
cats.pop(i)
else:
i += 1
for result in results:
result['category'] = catformat(result['category'])
return render_template('restaurants.html',
results=results,
categories=cats)
return redirect('/index')
def complete_paths():
line = util.get_line()[0:util.get_cursor_col_num() - 1]
m = re.search("res://(((\w|-)+/)*)$", line)
if m:
project_dir = util.get_project_dir()
if not project_dir:
return
# Directories and files are grouped and sorted separately.
dirs = []
files = []
base_dir = "{}/{}".format(project_dir, m.group(1))
if not os.path.isdir(base_dir):
return
for entry in os.listdir(base_dir):
if not entry.startswith("."):
if not util.filter(entry):
continue
if os.path.isdir("{}/{}".format(base_dir, entry)):
dirs.append("{}/".format(entry))
else:
files.append(entry)
for d in sorted(dirs):
append_completion(d)
for f in sorted(files):
append_completion(f)
def restaurants():
if request.method == "POST":
form = request.form
details = form["details"]
session["details"] = details
details = [c.strip() for c in details.strip().strip(",").split(";")]
# address radius ratings categories
address = details[0]
radius = int(details[1]) * 1609
rating = details[2]
types = [d.strip() for d in details[3].split(",")]
session["setrad"] = details[1]
session["setrating"] = rating
session["addr"] = address
if "types" in session:
session["types"] += types
else:
session["types"] = types
results = util.filter(address, radius, types, rating)
cats = util.getTypes(address, radius)
i = 0
while i < len(cats):
if cats[i] in session["types"]:
cats.pop(i)
else:
i += 1
for result in results:
result["category"] = catformat(result["category"])
return render_template("restaurants.html", results=results, categories=cats)
return redirect("/index")
def history(location="", restaurant="", category="", rating=0):
if location == "":
return redirect("/index")
# if request.method == "POST":
# form = request.form
# rating = form['rating']
# session['rating'] = rating
# util.setrating(session['user'], rating, location, restaurant, category)
# rating = util.getrating(location)
session["rating"] = rating
# if len(rating) > 0:
# rating = reduce(lambda x, y: x+y, rating)/len(rating)
# rating = int(rating * 10) / 10.
# else:
damn = util.filter(session["addr"], 10000)
damn = damn[random.randrange(len(damn))]
print damn
damn = "/history/%s,%s/%s/%s/%s" % (
damn["location"][0],
damn["location"][1],
damn["name"],
catformat(damn["category"]),
damn["rating"],
)
return render_template(
"rating.html", restaurant=restaurant, location=location.split(","), category=category.split(","), randomurl=damn
)
def run(self):
# download model-pkg from http or s3
from sys import version_info
if version_info.major == 2:
from urlparse import urlparse
parsed_result = urlparse(self.source["url"])
else:
from urllib import parse
parsed_result = parse.urlparse(self.source["url"])
print("%s" % str(parsed_result))
self.pkg_name = parsed_result.path.split('/')[-1]
getter.getterFactory(self.type)(self.source, self.model_path,
self.pkg_name)
# uncompress model-pkg to model_path
util.uncompress(os.path.join(self.model_path, self.pkg_name),
self.model_path)
# filter hidden files or MAC special dirs
util.filter(self.model_path)
# check dir structure
checker.dirCheckerFactory(self.model_type)(self.model_path)
def plot_hirate(hirate):
times = hirate[:,0]
gage = hirate[:,1]
flow = hirate[:,2]
figure(1)
ax = pylab.subplot(211)
ylabel('Gage mmHG')
pylab.plot(times, gage)
pylab.subplot(212)
xlabel('Time sec.')
ylabel('Flow')
pylab.plot(times, flow)
figure(2) ## plot high pass data
lp_taps = util.get_lowpass_taps(.5, dt=.004, n=100)
hpd = util.filter(gage - gage[0], lp_taps) + gage[0]
plot(gage, gage - hpd)
def run_bot(replied_to):
reddit = authenticate()
legislators = get_legislators()
names = [leg['name']['official_full'] for leg in legislators]
start = '"'
end = '"'
while True:
for mention in reddit.inbox.mentions(limit=25):
if mention.id not in replied_to:
mark_applied(mention.id)
name = mention.body.split(start)[1].split(end)[0]
person = process.extractOne(name,
names,
scorer=fuzz.partial_ratio)[0]
matching_leg = filter(
lambda x: person == x['name']['official_full'],
legislators)
if matching_leg:
mention.reply(get_legislator_info(matching_leg))
time.sleep(10)
def do_update(bot, update):
global fid
global cookies
global data
global update_mode
global update_progress
global update_list
logging.info('update')
if update_mode:
bot.send_message(
chat_id=update.message.chat_id,
text="Already in update mode, use /next to show next thread, or use /add `OEM` to add to certain OEM data."
)
return
update_mode = True
bot.send_message(
chat_id=update.message.chat_id,
text="Update Mode - On\nPreparing data..."
)
result = crawler.crawl(fid, cookies, data['lastUpdateTime'], data['lastUpdateThread'])
update_progress = 0
update_list = util.filter(result, regex)
next_thread(bot, update)
def thread_save():
while runing:
moveon, bufferData = first_buffer()
if not moveon:
continue
current_time = pygame.time.get_ticks()
# how long to show or hide
move_delay = 7000
# time of next change
change_time = current_time + move_delay
while current_time < change_time:
chunk = read_data()
if len(chunk) > 0:
chunk = np.array(chunk).transpose()
bufferData = np.concatenate((bufferData, chunk), axis=1)
current_time = pygame.time.get_ticks()
try:
data = ul.filter(bufferData, Fs)
target = ul.generate_target(data, Fs)
index = ul.cca(data, target)
player = maze.player
if player is None:
raise Exception('Fail find player')
maze.move_right()
# if index == 0:
# maze.move_up()
# elif index == 1:
# maze.move_bottom()
# elif index == 2:
# maze.move_left()
# else:
# maze.move_right()
except Exception as error:
print(error)
def plot_hirate(hirate, color):
dt = 0.004
n_tap = 100
fmax = 10 ## Hz
lp_taps = util.get_lowpass_taps(fmax, dt, n_tap)
delay_taps = zeros(defaults['n_tap'])
delay_taps[defaults['n_tap'] // 2] = 1
lpd = util.filter(hirate[:,1] - hirate[0, 1], lp_taps) + hirate[0, 1]
ax = pylab.subplot(211)
times = hirate[:,0]
pylab.plot(times, lpd)
peaks, troughs = util.find_peaks_and_troughs(lpd, eps=.1, edit=False)
if peaks[0] < troughs[0]:
peaks = peaks[1:]
if peaks[-1] < troughs[-1]:
troughs = troughs[:-1]
pylab.plot(times[peaks], lpd[peaks], 'ro')
pylab.plot(times[troughs], lpd[troughs], 'bo')
deltas = lpd[peaks] - lpd[troughs]
print std(deltas)
pylab.subplot(212)
pylab.plot(lpd[troughs], deltas)
def chan_data(self, eeg, chan):
"""returns data for channel @chan from the signal matrix @eeg which is
arranged as an (electrode x time sample) ndarray, parameterized by the
polarities"""
return util.filter(self.pols @ self.chanMatrix @ eeg)
return {k: v for k, v in [x.split(":") for x in raw_passport]}
def passports(data):
return [
build_passport(" ".join(block).split(" "))
for block in split_by(lambda x: x is "")(data)
]
def validate_with(validators):
def validator(entry):
key, value = entry
return validators.get(key, lambda x: True)(value)
return validator
def is_valid(passport):
return (contained_in(required_fields, passport.keys()) and all(
validate_with(validators)(entry) for entry in passport.items()))
result = [[is_valid(passport), passport] for passport in passports(real_data)]
assert not any(is_valid(passport) for passport in passports(test_invalids))
assert all(is_valid(passport) for passport in passports(test_valids))
print(len(list(filter(passports(real_data), is_valid))))
def dP_dt(t, r0, p0, a, b):
''' eqn (1a)'''
_r = -smooth_dP_dt(t, r0, p0)
xx = P0 -smooth_P(t, r0, p0)
return -_r + (P0 + Pamb - xx) / (V0) * dVa_dt(t, r0, p0, a, b)
t = arange(0, Tmax, DT)
def P(t, r0, p0, a, b):
return P0 + cumsum(dP_dt(t, r0, p0, a, b)) * DT
IDX = slice(None, None, OVERSAMPLE)
Pt1 = P(t, R0, P0, A, B)[IDX]
Pt2 = P(t + .5/HR, R0, P0, A, .75 * B)[IDX]
lp1 = util.filter(Pt1 - Pt1[0], LP_TAPS) + Pt1[0]
llp1 = util.filter(Pt1 - Pt1[0], LLP_TAPS) + Pt1[0]
lp2 = util.filter(Pt2 - Pt2[0], LP_TAPS) + Pt2[0]
llp2 = util.filter(Pt2 - Pt2[0], LLP_TAPS) + Pt2[0]
XX = (smooth_P(t[IDX], R0, P0) - P0)
fixup = -util.filter(XX, LP_TAPS - LLP_TAPS)
bpf1 = lp1 - llp1 + fixup
bpf2 = lp2 - llp2 + fixup
if False:
figure(1)
subplot(212)
plot(t, smooth_P(t, R0, P0))
def build_completion(item, c_name=None):
t = type(item)
d = {}
if t is str:
if util.filter(item):
d["word"] = item
elif item.name:
if not util.filter(item.name):
return
# Built-in
if t is classes.GodotMember:
d["word"] = item.name
if c_name:
d["abbr"] = "{}.{}".format(c_name, item.name)
d["kind"] = item.type
elif t is classes.GodotConstant:
d["word"] = item.name
if c_name:
d["abbr"] = "{}.{} = {}".format(c_name, item.name, item.value)
else:
d["abbr"] = "{} = {}".format(item.name, item.value)
if item.type:
d["kind"] = item.type
elif t is classes.GodotMethod:
if len(item.args) > 0:
d["word"] = "{}(".format(item.name)
else:
d["word"] = "{}()".format(item.name)
args = list(map(lambda a: "{} {}".format(a.type, a.name), item.args))
qualifiers = " {}".format(item.qualifiers) if item.qualifiers else ""
if "vararg" in qualifiers:
args.append("...")
joined_args = ", ".join(args)
if c_name:
d["abbr"] = "{}.{}({}){}".format(c_name, item.name, joined_args, qualifiers)
else:
d["abbr"] = "{}({}){}".format(item.name, joined_args, qualifiers)
d["kind"] = item.returns
# User decls
elif t is script.VarDecl:
d["word"] = item.name
if item.type:
d["kind"] = item.type
elif t is script.ConstDecl:
d["word"] = item.name
if item.value:
d["abbr"] = "{} = {}".format(item.name, item.value)
elif t is script.FuncDecl:
if len(item.args) > 0:
d["word"] = "{}(".format(item.name)
else:
d["word"] = "{}()".format(item.name)
d["abbr"] = "{}({})".format(item.name, ", ".join(item.args))
elif t is script.EnumDecl:
d["word"] = item.name
d["kind"] = "enum"
elif t is script.ClassDecl:
d["word"] = item.name
d["kind"] = "class"
if not d:
return
d["dup"] = 1
if util.get_ignore_case():
d["icase"] = 1
return d
size = 0
df_from_each_file = []
for file in all_files:
size += os.path.getsize(file)
df = pd.read_csv(file, sep=',', header=None, names=None)
df.columns = HEADER_LONG if (df.shape[1]
== len(HEADER_LONG)) else HEADER_SHORT
df_from_each_file.append(df)
df = pd.concat(df_from_each_file, ignore_index=True, sort=False)
print(" Reading {0} files {1:.2f} kB".format(len(all_files),
size / (1024)))
total_rows = df.shape[0]
df = util.filter(df)
conf_file = os.path.join(path_to_measurement, 'conf.json')
CENTER = config[measurement]["center"]
util.addDistanceTo(df, CENTER)
df = df[df['distance'] < 100 * 1000]
util.addPathLossTo(df)
current_rows = df.shape[0]
current_rows_data = df[df.isPacket > 0].shape[0]
print(" Processed {0}/{1} {2:.1f}% rows".format(
current_rows, total_rows, (current_rows / total_rows) * 100))
print(" Processed {0}/{1} {2:.1f}% and {3:.1f}% of total".format(
current_rows_data, current_rows,
(current_rows_data / current_rows) * 100,
# @Software: PyCharm
import numpy as np
import cv2 as cv
import copy
import util
# 读取图像
origin_img = cv.imread("../img/mission1/car.jpg")
origin_img = copy.copy(origin_img)
origin_gray = cv.cvtColor(origin_img, cv.COLOR_BGR2GRAY)
origin_gray = origin_gray.astype(np.float) / 256
cv.imshow("Raw Gray", origin_gray)
kernel_size = (3, 3)
gauss_img = util.filter(origin_gray, util.Gauss_kernel)
cv.imshow("Gauss Gradient", gauss_img)
center_8_img = util.filter(origin_gray, util.Center_8_kernel)
cv.imshow("Center_8 Gradient", center_8_img)
center_4_img = util.filter(origin_gray, util.Center_4_kernel)
cv.imshow("Center_4 Gradient", center_4_img)
dignoal_img = util.filter(origin_gray, util.Diagonal_opposite_kernel)
cv.imshow("Dignoal Gradient", dignoal_img)
center_peek_img = util.filter(origin_gray, util.Center_peek_kernel)
cv.imshow("Center Peek Gradient", center_peek_img)
origin_kernel_img = util.filter(origin_gray, util.Origin_kernel)