def LF_part_ce_keywords_in_rows_cols_prefix_1(c):
ngrams = set(list(get_horz_ngrams(c[1])))
ngrams = ngrams.union(set(list(get_vert_ngrams(c[1]))))
ngrams_part = _filter_non_parts(ngrams)
return (TRUE if overlap(_CE_KEYWORDS.union(_CE_ABBREVS), ngrams) and any(
[c.part.context.get_span().lower().startswith(_)
for _ in ngrams_part]) else ABSTAIN)
def LF_part_miss_match(c):
ngrams_part = set(list(get_vert_ngrams(c[1], n_max=1)))
ngrams_part = filter_non_parts(
ngrams_part.union(set(list(get_horz_ngrams(c[1], n_max=1)))))
return (0 if len(ngrams_part) == 0 or any(
[c[0].get_span().lower().startswith(_.lower())
for _ in ngrams_part]) else -1)
def LF_part_miss_match(c):
ngrams_part = set(list(get_vert_ngrams(c[1], n_max=1)))
ngrams_part = _filter_non_parts(
ngrams_part.union(set(list(get_horz_ngrams(c[1], n_max=1)))))
return (ABSTAIN if len(ngrams_part) == 0 or any([
c.part.context.get_span().lower().startswith(_.lower())
for _ in ngrams_part
]) else FALSE)
def pos_gain_keywords(c):
vert_ngrams = set(get_vert_ngrams(c.gain, n_max=1, lower=True))
row_ngrams = set(get_row_ngrams(c.gain, lower=True))
if overlap(["typ", "typ."], vert_ngrams) and overlap(["khz", "mhz"],
row_ngrams):
return TRUE
return ABSTAIN
def pos_gain_header_unit(c):
horz_ngrams = set(get_horz_ngrams(c.gain, n_max=1, lower=True))
vert_ngrams = set(get_vert_ngrams(c.gain, n_max=1, lower=True))
right_ngrams = set([
x[0] for x in get_neighbor_cell_ngrams(
c.gain, n_max=1, dist=5, directions=True, lower=False)
if x[-1] == "RIGHT"
])
if (overlap(["gain", "unity"], horz_ngrams)
and overlap(["mhz", "khz"], right_ngrams)
and overlap(["typ", "typ."], vert_ngrams)):
return TRUE
else:
return ABSTAIN
def ce_v_max_filter(c):
(part, attr) = c
if same_table(c):
return is_horz_aligned(c) or is_vert_aligned(c)
# Check if the ce_v_max's are not matched with the part
ngrams_part = _filter_non_parts(
set(x for x in get_vert_ngrams(attr, n_max=1)))
ngrams_part = _filter_non_parts(
ngrams_part.union(set(x for x in get_horz_ngrams(attr, n_max=1))))
if len(ngrams_part) != 0 and all(
not part.context.get_span().lower().startswith(_.lower())
for _ in ngrams_part):
logger.debug(
f"ngrams_part: {ngrams_part}\npart: {part.context.get_span().lower()}"
)
return False
return True
def neg_current_keywords_in_vert(c):
return (FALSE if overlap(
["over", "temperature", "vgn", "f", "-3", "db", "dbc", "min", "max"],
get_vert_ngrams(c.supply_current, lower=True),
) else ABSTAIN)