def experiments_table(
all_experiments,
headers,
metric_headers,
metric_names,
param_headers,
param_names,
sort_by=None,
sort_order=None,
precision=DEFAULT_PRECISION,
fill_value=FILL_VALUE,
iso=False,
) -> "TabularData":
from funcy import lconcat
from dvc.compare import TabularData
td = TabularData(lconcat(headers, metric_headers, param_headers),
fill_value=fill_value)
for base_rev, experiments in all_experiments.items():
rows = _collect_rows(
base_rev,
experiments,
metric_names,
param_names,
sort_by=sort_by,
sort_order=sort_order,
precision=precision,
fill_value=fill_value,
iso=iso,
)
td.extend(rows)
return td
def bundle_inputs(self, name=None):
if name is None:
name = cmn._fresh()
size = sum(self.aigbv.imap.values())
bdl = Bundle(name=name, size=size)
inputs = fn.lconcat(*(self.aigbv.imap[i] for i in self.inputs))
relabels = {old: new for old, new in zip(inputs, bdl)}
circ = aigbv.rebundle_aig(self.aig['i', relabels])
return attr.evolve(self, aigbv=circ)
def get_vlans_a(ip):
try:
child = telnet(ip)
rslt = do_some(
child, 'disp cu | in (port trunk allow|port hybrid tagged)')
close(child)
except (pexpect.EOF, pexpect.TIMEOUT) as e:
return ('fail', None, ip)
vlan_sgmt = re_all(r'(\d+) to (\d+)', rslt)
vlans = re_all(r'(\d+)', re.sub(r'\d+ to \d+', '', rslt))
vlan_sgmt = [(int(x[0]), int(x[1]) + 1) for x in vlan_sgmt]
vlans = [(int(x), int(x) + 1) for x in vlans if x != '1']
vlan_sgmt = lconcat(vlan_sgmt, vlans)
_vlan = lambda s, e: range(s, e)
vlans = reduce(lambda x, y: x | set(_vlan(*y)), vlan_sgmt, set())
return ('success', list(vlans), ip)
def experiments_table(
all_experiments,
metric_headers,
metric_names,
param_headers,
param_names,
sort_by=None,
sort_order=None,
precision=DEFAULT_PRECISION,
) -> "TabularData":
from funcy import lconcat
from dvc.compare import TabularData
headers = [
"Experiment",
"rev",
"typ",
"Created",
"parent",
"State",
"Executor",
]
td = TabularData(lconcat(headers, metric_headers, param_headers),
fill_value=FILL_VALUE)
for base_rev, experiments in all_experiments.items():
rows = _collect_rows(
base_rev,
experiments,
metric_names,
param_names,
sort_by=sort_by,
sort_order=sort_order,
precision=precision,
)
td.extend(rows)
return td
def main():
gulim_font = ImageFont.truetype("fonts/gulim.ttf", 28)
reko_font = ImageFont.truetype("fonts/reko.ttf", 28)
# jap: 169 chars
jap_ucodes = fp.go(
F.lconcat(
range(0x3041, 0x309f + 1), # Hiragana
range(0x30a0, 0x30ff + 1)), # Katakana
#range(0xff00, 0xffef+1), # Full-width roman characters and half-width katakana
fp.lremove({
0x3094, 0x3095, 0x3096, 0x3097, 0x3098, 0x3099, 0x309a, 0x309b,
0x309c, 0x309d, 0x309e, 0x309f, 0x30a0, 0x30f7, 0x30f8, 0x30f9,
0x30fa, 0x30fb, 0x30fc, 0x30fd, 0x30fe, 0x30ff
}))
# kor: 966 chars
kor_ucodes = fp.go(fu.read_text("./freq_kor_words.txt"), F.distinct,
fp.remove({"\n", " "}), fp.tmap(ord))
# Create imgs
jap_gulim_imgs = char_imgs(gulim_font, jap_ucodes)
jap_reko_imgs = char_imgs(reko_font, jap_ucodes)
kor_gulim_imgs = char_imgs(gulim_font, kor_ucodes)
kor_reko_imgs = char_imgs(reko_font, kor_ucodes)
# Create dirs
os.makedirs("datasets/jk_all/testA", exist_ok=True)
os.makedirs("datasets/jk_all/testB", exist_ok=True)
os.makedirs("datasets/jk_all/trainA", exist_ok=True)
os.makedirs("datasets/jk_all/trainB", exist_ok=True)
os.makedirs("datasets/jk_no_kg/testA", exist_ok=True)
os.makedirs("datasets/jk_no_kg/testB", exist_ok=True)
os.makedirs("datasets/jk_no_kg/trainA", exist_ok=True)
os.makedirs("datasets/jk_no_kg/trainB", exist_ok=True)
os.makedirs("datasets/jk_no_kr/testA", exist_ok=True)
os.makedirs("datasets/jk_no_kr/testB", exist_ok=True)
os.makedirs("datasets/jk_no_kr/trainA", exist_ok=True)
os.makedirs("datasets/jk_no_kr/trainB", exist_ok=True)
@F.autocurry
def dst_path(base, split, type, ucode, ext=".png"):
return str(Path(base, split, type + str(ucode) + ext))
# Save imgs
jk_all = dst_path("datasets/jk_all")
jk_no_kg = dst_path("datasets/jk_no_kg") # no kor gulim
jk_no_kr = dst_path("datasets/jk_no_kr") # no kor reko
path_ucodes_imgs_tups = (
(jk_all("testA", "g"), jap_ucodes, jap_gulim_imgs),
(jk_all("testA", "g"), kor_ucodes, kor_gulim_imgs),
(jk_all("testB", "r"), jap_ucodes, jap_reko_imgs),
(jk_all("testB", "r"), kor_ucodes, kor_reko_imgs),
(jk_all("trainA", "g"), jap_ucodes, jap_gulim_imgs),
(jk_all("trainA", "g"), kor_ucodes, kor_gulim_imgs),
(jk_all("trainB", "r"), jap_ucodes, jap_reko_imgs),
(jk_all("trainB", "r"), kor_ucodes, kor_reko_imgs),
(jk_no_kg("testA", "g"), jap_ucodes, jap_gulim_imgs),
#(jk_no_kg("testA","g"), kor_ucodes, kor_gulim_imgs ),
(jk_no_kg("testB", "r"), jap_ucodes, jap_reko_imgs),
(jk_no_kg("testB", "r"), kor_ucodes, kor_reko_imgs),
(jk_no_kg("trainA", "g"), jap_ucodes, jap_gulim_imgs),
#(jk_no_kg("trainA","g"), kor_ucodes, kor_gulim_imgs),
(jk_no_kg("trainB", "r"), jap_ucodes, jap_reko_imgs),
(jk_no_kg("trainB", "r"), kor_ucodes, kor_reko_imgs),
(jk_no_kr("testA", "g"), jap_ucodes, jap_gulim_imgs),
(jk_no_kr("testA", "g"), kor_ucodes, kor_gulim_imgs),
(jk_no_kr("testB", "r"), jap_ucodes, jap_reko_imgs),
#(jk_no_kr("testB","r"), kor_ucodes, kor_reko_imgs ),
(jk_no_kr("trainA", "g"), jap_ucodes, jap_gulim_imgs),
(jk_no_kr("trainA", "g"), kor_ucodes, kor_gulim_imgs),
(jk_no_kr("trainB", "r"), jap_ucodes, jap_reko_imgs),
#(jk_no_kr("trainB","r"), kor_ucodes, kor_reko_imgs ),
)
for path, ucodes, imgs in path_ucodes_imgs_tups:
for ucode, img in zip(ucodes, imgs):
cv2.imwrite(path(ucode), img)
