# generate the rest of the output file
# search over .con files in first layer of subdirs
glob_exp = os.path.join(basedir,"*","*.con")
token_ct = []
for con in glob.glob(glob_exp):
parent = os.path.dirname(con)
basename = os.path.split(parent)[1]
# get TGs
tg = os.path.join(parent,str(basename + ".ch1.TextGrid"))
sync_tg = os.path.join(parent,str(basename + ".sync.TextGrid"))
# get stimulus; other metadata
stimfile = os.path.join(parent,"stim.txt")
stim = read_stimfile(stimfile)
if stim in low_set:
tone = "low"
else:
tone = "high"
# get condition ("ba"/"init"), place, aspiration (in that order in md)
# replace with your own metadata as needed
md = os.path.join(parent,"meta.txt")
with open(md) as csvfile:
meta = reader(csvfile, delimiter="\t")
tbl = [row for row in meta] # a little janky but works
condition = tbl[1][0]
place = tbl[1][1]
aspiration = tbl[1][2]
ann = input("Enter your initials: ")
avi_glob_exp = os.path.join(expdir, "*", "*_slow.avi")
# write header to file
with open(out_file, "w") as out:
out.write(
'\t'.join(["acq", "stim", "before", "after", "voi", "ann", "label"]) +
'\n')
# loop through available _slow.avi files
for av in glob.glob(avi_glob_exp):
# gather metadata strings
parent = os.path.dirname(av)
stimfile = os.path.join(parent, "stim.txt")
stim = read_stimfile(stimfile)
beforefile = os.path.join(parent, "before.txt")
before = read_stimfile(beforefile)
afterfile = os.path.join(parent, "after.txt")
after = read_stimfile(afterfile)
voicefile = os.path.join(parent, "voice.txt")
voice = read_stimfile(voicefile)
# find the faster AVI file
basename = os.path.split(parent)[1]
av_fast = os.path.join(parent, str(basename + "_fast.avi"))
# TODO add name to player
while True:
click = easygui.buttonbox(
title="Now playing {}".format(basename),
break
if warning == "N":
sys.exit()
else:
copy_str = os.path.split(expdir)[1] + "_distractors"
copy_dir = os.path.join(expdir, copy_str)
os.mkdir(copy_dir) # TODO create the copy location
# iterate over directories within expdir with a *.raw file in them
rawfile_glob_exp = os.path.join(os.path.normpath(args.expdir), "*", "*.raw")
for rf in glob.glob(rawfile_glob_exp):
parent = os.path.dirname(rf)
acq = os.path.split(parent)[1]
stimfile = os.path.join(parent, "word.txt")
try:
stim = read_stimfile(stimfile, deaccent=True)
except FileNotFoundError:
print("No alignment TG in {}; skipping".format(acq))
continue
if args.delete:
if stim in distractor_list:
shutil.rmtree(parent)
else:
if stim in distractor_list:
copy_path = os.path.join(copy_dir, acq)
shutil.copytree(parent, copy_path)
shutil.rmtree(parent)
class Probe(object):
def __init__(self):
pass
conv = None
for rf in glob.glob(rawfile_glob_exp):
parent = os.path.dirname(rf)
basename = os.path.split(parent)[1]
# use stim.txt to skip non-trials, flap.txt to skip words without flaps
stimfile = os.path.join(parent, "stim.txt")
stim = read_stimfile(stimfile)
if stim == "bolus" or stim == "practice":
continue
flapfile = os.path.join(parent, "flap.txt")
flap_set = read_stimfile(flapfile)
if flap_set == "N":
continue
if conv is None:
print("Making converter...")
nscanlines, npoints, junk = read_echob_metadata(rf)
header = Header()
header.w = nscanlines # input image width
header.h = npoints - junk # input image height, trimmed
header.sf = 4000000 # magic number, sorry!
probe = Probe()
except FileExistsError:
shutil.rmtree(copy_dir)
os.mkdir(copy_dir)
# desired analysis set; change as required
target_list = [
"EBA'", "BV", "EBVUH", "BUW", "BIY", "SHIY", "SHUH", "ESHIH", "GHUH",
"KIH", "KUH", "KUW", "KIY"
] # last four for ACAL
# differences among all four "elsewhere" high vowels in same frame:
# no IH??
# /a/ TA', SA', FA', KA', GHA'; /i/ EFIY, BIY, SIY, KIY, ETIY; /i/ postalveolar ACHIY;
# /u/ ZHUW, EFUW, BUW, TUW; /1/ EGHIH, CHIH; /0/ GHUH, NYUH; /0/ postalveolar CHUH;
# /0/ labiodental PFUH, EFUH; misc. ETYI, EFYI, BYI', TYI', FYI', KYI', CHI', ETYIH, BYI, BYIH
e = Exp(expdir=expdir) # from command line args
e.gather()
for a in e.acquisitions:
stim = read_stimfile(a.abs_stim_file)
parent = os.path.dirname(a.abs_stim_file)
if args.delete:
if stim not in target_list:
shutil.rmtree(parent)
else:
if stim in target_list:
copy_path = os.path.join(copy_dir, a.timestamp)
shutil.copytree(parent, copy_path)