def main(args):
conf = MainConf()
conf.update_from_args(args)
stat = Counter()
if conf.domain_f in DOMAIN_FS:
domain_f = DOMAIN_FS[conf.domain_f]
else:
domain_f = eval(conf.domain_f)
# --
all_insts = {} # ID->List[inst]
with zopen(conf.input) as fin:
for line in fin:
inst = json.loads(line)
domain = domain_f(inst)
if domain not in all_insts:
all_insts[domain] = []
all_insts[domain].append(inst)
stat["inst"] += 1
stat[f"inst_{domain}"] += 1
# --
# write
input_name = os.path.basename(conf.input)
for domain, insts in all_insts.items():
output_name_fields = input_name.split(".")
output_name_fields.insert(conf.output_insert_place, domain)
output_name = os.path.join(conf.output_dir,
".".join(output_name_fields))
zlog(f"Write to {output_name} {len(insts)}")
with zopen(output_name, 'w') as fout:
default_json_serializer.save_iter(insts, fout)
# --
zlog(f"Read from {fin}, stat=\n{OtherHelper.printd_str(stat)}")
def main(args):
conf = MainConf()
conf.update_from_args(args)
# input
with zopen(conf.input) as fd:
lines = list(fd)
if conf.skip_blank:
lines = [z for z in lines if str.isspace(z)]
# shuffle?
origin_len = len(lines)
if conf.shuffle_times > 0 or conf.shuffle:
_t = max(1, conf.shuffle_times) # at least once!
_gen = Random.get_generator('')
for _ in range(_t):
_gen.shuffle(lines)
# sample?
final_size = int(0.999 + (conf.rate *
origin_len if conf.rate <= 1. else conf.rate))
out_lines = lines[:final_size]
# output
if conf.output:
with zopen(conf.output, 'w') as fd2:
for line in out_lines:
fd2.write(line)
# --
zlog(
f"Sample({conf.rate}) {conf.input}=>{conf.output}: {origin_len}=>{len(out_lines)}"
)
def main(args):
conf: MainConf = init_everything(MainConf(), args, add_nn=False)
zlog(f"** Run with {conf.to_json()}")
# --
if conf.input_table_file:
with zopen(conf.input_table_file) as fd:
s = fd.read()
table = eval(s)
mm = table[conf.name] # read the table from file
else:
mm = globals()[conf.name]
# --
workers = Worker.get_gpu_workers([int(z) for z in conf.gpus],
ncore=int(conf.ncore))
# --
x = TuneDriver(conf.tune_conf, workers, conf.name, extra_info=mm)
task_iter = [
MyTask(gid, conf.name, sel_idxes,
[a[i] for a, i in zip(mm, sel_idxes)], conf.task_conf)
for gid, sel_idxes in enumerate(
iter_arg_choices(mm,
repeat=conf.repeat,
shuffle=conf.shuffle,
max_num=conf.max_count))
]
x.main(task_iter)
def __init__(self, fd_or_path: Union[IO, str], end='\n'):
super().__init__()
self.fd_or_path = fd_or_path
self.end = end
if isinstance(fd_or_path, str):
self.should_close = True
self.fd = zopen(fd_or_path, 'w')
else:
self.should_close = False
self.fd = fd_or_path
def eval(self, gold_insts: List, pred_insts: List):
# --
conf: PbEvalConf = self.conf
tmp_gold, tmp_pred = conf.tmp_file_prefix + ".gold.props", conf.tmp_file_prefix + ".pred.props"
with zopen(tmp_gold, 'w') as fd:
fd.write(insts2props(gold_insts))
with zopen(tmp_pred, 'w') as fd:
fd.write(insts2props(pred_insts))
# --
precision_output = system(
f"{self.cmd} {tmp_pred} {tmp_gold} 2>/dev/null",
ass=True,
popen=True)
recall_output = system(f"{self.cmd} {tmp_gold} {tmp_pred} 2>/dev/null",
ass=True,
popen=True)
# parse output
res = PbEvalResult(precision_output, recall_output)
return res
def save_txt(fname: str, words: List[str], vecs: List, sep: str):
num_words = len(words)
embed_size = len(vecs[0])
zlog(
f"Saving w2v (in txt) num_words={num_words}, embed_size={embed_size} to {fname}."
)
assert num_words == len(vecs), "Unmatched size!"
with zopen(fname, "w") as fd:
fd.write(f"{num_words}{sep}{embed_size}\n")
for w, vec in zip(words, vecs):
assert len(vec) == embed_size, "Unmatched dim!"
print_list = [w] + ["%.6f" % float(z) for z in vec]
fd.write(sep.join(print_list) + "\n")
def main(args):
conf = MainConf()
conf.update_from_args(args)
stat = Counter()
# --
with zopen(conf.input) as fin, zopen(conf.output, 'w') as fout:
cur_lines = []
for line in fin:
line = line.rstrip()
if line.lstrip().startswith("#"): continue # ignore comments!
if len(line) == 0:
if len(cur_lines) > 0:
lines2 = process_one(cur_lines, conf, stat)
fout.write("".join([z + '\n' for z in lines2]) + "\n")
cur_lines.clear()
else:
cur_lines.append(line)
if len(cur_lines) > 0:
lines2 = process_one(cur_lines, conf, stat)
fout.write("".join([z + '\n' for z in lines2]) + "\n")
# --
zlog(
f"Read from {fin}, write to {fout}, stat=\n{OtherHelper.printd_str(stat)}"
)
def annotate(self, insts: List):
conf: AnnotatorP2DConf = self.conf
# --
# get all sentences and run in batch
all_sents = list(yield_sents(insts))
tmp_input = os.path.join(conf.p2d_tmp_dir, "_input.penn")
with zopen(tmp_input, 'w') as fd:
for sent in all_sents:
fd.write(sent2tree(sent) + "\n")
# run
tmp_output = os.path.join(conf.p2d_tmp_dir, "_output.conllu")
log_cmd = f'2>{conf.p2d_log}' if conf.p2d_log else ''
system(f"{self.cmd} -treeFile {tmp_input} >{tmp_output} {log_cmd}")
# read output and add back
conll_reader_conf = ReaderGetterConf()
conll_reader_conf.input_conf.use_multiline = True
conll_reader_conf.input_conf.mtl_ignore_f = "'ignore_#'"
conll_reader_conf.input_format = "conllu"
conll_reader_conf.input_path = tmp_output
conll_reader = get_reader(conll_reader_conf)
new_sents = list(conll_reader)
# --
assert len(all_sents) == len(new_sents)
for s0, s1 in zip(all_sents, new_sents):
assert len(s0) == len(s1)
mismatched_tokens = [
(v1, v2) for v1, v2 in zip(s0.seq_word.vals, s1.seq_word.vals)
if v1 != v2
]
if len(mismatched_tokens) > 0:
zwarn(
f"Mismatch token NUM={len(mismatched_tokens)}: {mismatched_tokens}"
)
if conf.p2d_change_words:
s0.build_words(s1.seq_word.vals) # use the other one!!
# breakpoint()
# note: build again!
s0.build_dep_tree(s1.tree_dep.seq_head.vals, [
self.p2d_udp_converter(z) for z in s1.tree_dep.seq_label.vals
])
if conf.p2d_use_xpos:
trg_pos_list = s1.info.get["xpos"]
else:
trg_pos_list = s1.seq_upos.vals
s0.build_uposes([self.p2d_upos_converter(z) for z in trg_pos_list])
def _load_txt(fname: str, sep=" "):
zlog(f"Going to load pre-trained (txt) w2v from {fname} ...")
repeated_count = 0
words, vecs = [], []
word_set = set()
num_words, embed_size = None, None
with zopen(fname) as fd:
# first line
line = fd.readline()
try:
num_words, embed_size = [int(x) for x in line.split(sep)]
zlog(
f"Reading w2v num_words={num_words}, embed_size={embed_size}."
)
line = fd.readline()
except:
zlog("Reading w2v.")
# the rest
while len(line) > 0:
fields = line.rstrip().split(sep)
word, vec = fields[0], [float(x) for x in fields[1:]]
if word in word_set:
repeated_count += 1
zwarn(f"Repeat key {word}")
else: # only add the first one
words.append(word)
vecs.append(vec)
word_set.add(word)
# put embed_size
if embed_size is None:
embed_size = len(vec)
else:
assert len(vec) == embed_size, "Unmatched embed dimension."
line = fd.readline()
if num_words is not None:
assert num_words == len(vecs) + repeated_count
num_words = len(vecs)
# final
zlog(
f"Read ok: w2v num_words={num_words}, embed_size={embed_size}, repeat={repeated_count}"
)
return WordVectors(words, vecs)
def main(*args):
conf = MainConf()
conf.update_from_args(args)
# --
if conf.load_pkl:
collection = default_pickle_serializer.from_file(conf.load_pkl)
else:
reader = FrameReader()
collection = reader.read_all(conf.dir, conf.onto)
if conf.save_pkl:
default_pickle_serializer.to_file(collection, conf.save_pkl)
if conf.save_txt:
with zopen(conf.save_txt, 'w') as fd:
for f in collection.frames:
fd.write("#--\n" + f.to_string() + "\n")
# --
if conf.debug:
breakpoint()
if conf.query:
map_frame = {f.name: f for f in collection.frames}
map_lu = ZFrameCollectionHelper.build_lu_map(collection, split_lu={"pb":"_", "fn":None}[conf.onto])
map_role = ZFrameCollectionHelper.build_role_map(collection)
while True:
line = input(">> ")
fields = sh_split(line.strip())
if len(fields) == 0:
continue
try:
query0, query1 = fields
_map = {'frame': map_frame, 'lu': map_lu, 'role': map_role}[query0]
answer = _map.get(query1, None)
if isinstance(answer, ZFrame):
zlog(answer.to_string())
else:
zlog(answer)
except:
zlog(f"Wrong cmd: {fields}")
pass
def main(evaluator: str, *args):
# find evaluator
conf = MainConf()
e_res = Evaluator.try_load_and_lookup(evaluator)
one_conf, one_type = e_res.conf, e_res.T
conf.econf = one_conf()
# --
conf = init_everything(conf, args)
zlog(f"Ready to evaluate with {evaluator}: {conf.gold} {conf.pred}")
# --
gold_insts = list(conf.gold.get_reader())
pred_insts = list(conf.pred.get_reader())
evaler: Evaluator = one_type(conf.econf)
res = evaler.eval(gold_insts, pred_insts)
if conf.result_file:
with zopen(conf.result_file,
'a') as fd: # note: here we use append mode
fd.write(
f"# Eval with {args}:\n{res.get_brief_str()}\n{res.get_detailed_str()}\n"
)
zlog(f"Eval on {conf.gold} vs. {conf.pred}; RESULT = {res}")
if conf.print_details:
zlog(f"#-- details:\n{res.get_detailed_str()}")
def annotate(self, insts: List[DataInstance]):
conf: AnnotatorSemaforConf = self.conf
# --
# get all sentences and run in batch
all_sents = list(yield_sents(insts))
# run all in batch
# step 1: prepare input
tmp_input = os.path.join(f"{conf.semafor_tmp_dir}", "_input.txt")
tmp_input = os.path.abspath(tmp_input) # require absolute path
tmp_input = self.delete_and_get_file(tmp_input)
with zopen(tmp_input, 'w') as fd:
for sent in all_sents: # write one line per sent
fd.write(" ".join(sent.seq_word.vals) + "\n")
# step 2: run semafor
tmp_output = os.path.join(f"{conf.semafor_tmp_dir}", "_output.json")
tmp_output = os.path.abspath(tmp_output) # require absolute path
tmp_output = self.delete_and_get_file(
tmp_output, delete=(not conf.semafor_use_cached))
if not conf.semafor_use_cached: # otherwise simply skip running
_semafor_log = conf.semafor_log if conf.semafor_log else "/dev/null" # append to log!
system(
f"bash {self.semafor_sh} {tmp_input} {tmp_output} {conf.semafor_num_threads} >>{_semafor_log} 2>&1",
ass=True)
# step 3: read output and put them in sents
semafor_results = default_json_serializer.load_list(tmp_output)
assert len(semafor_results) == len(
all_sents), "Error: predict inst number mismatch!"
for one_res, one_sent in zip(semafor_results, all_sents):
one_semafor_sent: Sent = SemaforHelper.semafor2sent(one_res)
one_idx_map = SemaforHelper.find_sent_map(one_semafor_sent,
one_sent)
# put them back
one_sent.clear_events()
one_sent.clear_entity_fillers()
# add them all
for evt in one_semafor_sent.events:
evt_widx, evt_wlen = evt.mention.widx, evt.mention.wlen
mapped_posi = SemaforHelper.map_span(evt_widx, evt_wlen,
one_idx_map)
if mapped_posi is None:
zwarn(
f"Failed mapping evt of {evt}: {evt.mention} to {one_sent.seq_word}"
)
continue
evt2 = one_sent.make_event(mapped_posi[0],
mapped_posi[1],
type=evt.type)
for alink in evt.args:
ef = alink.arg
ef_widx, ef_wlen = ef.mention.widx, ef.mention.wlen
mapped_posi = SemaforHelper.map_span(
ef_widx, ef_wlen, one_idx_map)
if mapped_posi is None:
zwarn(
f"Failed mapping arg of {alink}: {ef.mention} to {one_sent.seq_word}"
)
continue
ef2 = one_sent.make_entity_filler(
mapped_posi[0],
mapped_posi[1]) # make new ef for each arg
evt2.add_arg(ef2, role=alink.role)
# --
self.count += 1
def dump_one(self, obj: object):
new_file = os.path.join(self.path,
self.dir_file_f(obj) + self.dir_file_suffix)
with zopen(new_file, 'w') as fd:
fd.write(f"{obj}{self.end}")
def main(tconf: MyTaskConf, args):
conf = MainConf()
conf.task_conf = tconf
conf: MainConf = init_everything(conf, args, add_nn=False)
zlog(f"** Run with {conf.to_json()}")
# --
if conf.tune_table_file:
with zopen(conf.tune_table_file) as fd:
s = fd.read()
table = eval(s)
mm = table.get(conf.tune_name) # read the table from file
else:
mm = globals().get(conf.tune_name)
# --
if mm is not None: # if we can read it!
# note: if tuning, we want it to be quiet
conf.task_conf.quite = True
# --
workers = te.Worker.get_gpu_workers([int(z) for z in conf.gpus],
ncore=int(conf.ncore))
x = te.TuneDriver(conf.tune_conf,
workers,
conf.tune_name,
extra_info=mm)
task_iter = []
# --
all_runs = enumerate(
te.iter_arg_choices(mm,
repeat=conf.repeat,
shuffle=conf.shuffle,
max_num=conf.max_count))
if not conf.repeat:
all_runs = list(all_runs)
orig_all_runs = list(all_runs)
else:
orig_all_runs = None
if len(conf.task_sels) > 0:
assert not conf.repeat and not conf.shuffle
_sels = [int(z) for z in conf.task_sels]
all_runs = list(all_runs)
zlog(f"Select {len(_sels)}/{len(all_runs)}: {_sels}")
all_runs = [all_runs[z] for z in _sels]
# --
if not conf.repeat:
_max_gid = 0 if len(orig_all_runs) == 0 else max(
z[0] for z in orig_all_runs)
_padn = len(str(_max_gid))
_pads = f"%0{_padn}d"
else:
_pads = "%d"
# --
for gid, sel_idxes in all_runs:
# note: override run_dir!!
s_gid = _pads % gid
one = conf.task_conf.make_task(
run_dir=f"run_{conf.tune_name}_{s_gid}",
_id_str=f"{s_gid}:{sel_idxes}",
_train_extras=" ".join([a[i] for a, i in zip(mm, sel_idxes)]))
task_iter.append(one)
x.main(task_iter)
else: # otherwise single run
assert not conf.tune_name
task = conf.task_conf.make_task() # no setting here!!
task.execute(
f"CUDA_VISIBLE_DEVICES={','.join(conf.gpus)} OMP_NUM_THREADS={conf.ncore} MKL_NUM_THREADS={conf.ncore}"
)
def main(res_file="res.json", known_set="", *extra_names):
# --
with zopen(res_file) as fd:
res = json.load(fd)
# --
def _get_data(_name: str):
_keys = [k for k in res if _name in k]
assert len(_keys) == 1
return res[_keys[0]]
# --
def _show_entry(_d: dict):
return MyCounter(_d).summary_str(30, 130)[9:]
# -----
all_datasets = OrderedDict([
("conll05",
[f"conll05/{z}" for z in ["train", "dev", "test.wsj", "test.brown"]]),
("conll12", [f"conll12b/{z}" for z in ["train", "dev", "test"]] +
["conll12/train", "pb/ontonotes.train"]),
("ewt", [f"ewt.{z}" for z in ["train", "dev", "test"]]),
("fn15", [f"fn15_fulltext.{z}"
for z in ["train", "dev", "test."]] + ["fn15_exemplars"]),
("fn17", [f"fn17_fulltext.{z}"
for z in ["train", "dev", "test."]] + ["fn17_exemplars"]),
])
all_groups = OrderedDict([
("basic", [
"sent", "tok", "frame", "f/s", "f/t", "arg", "a/f", "a/(f*t/s)",
"AO", "AO1"
]),
("frame_wlen", ["frame_wlen"]),
("frame_trigger_pos", ["frame_trigger_pos"]),
("frame_type", ["frame_type"]),
("frame_type0", ["frame_type0"]),
("arg_wlen_m30", ["arg_wlen_m30"]),
("arg_role", ["arg_role"]),
("arg_repeat", ["arg_repeat"]),
("arg_repeatR", ["arg_repeatR"]),
])
cc = OrderedDict()
# --
# first collect all
all_data_names = sum(all_datasets.values(),
[]) if not known_set else all_datasets.get(
known_set, [])
all_data_names = all_data_names + list(extra_names)
all_data = [_get_data(z) for z in all_data_names]
# basic
cc["sent"] = [z["sent"] for z in all_data]
cc["tok"] = [z["tok"] for z in all_data]
cc["frame"] = [z["frame"] for z in all_data]
cc["f/s"] = [z["frame"] / z["sent"] for z in all_data]
cc["f/t"] = [z["frame"] / z["tok"] for z in all_data]
cc["arg"] = [z["arg"] for z in all_data]
cc["a/f"] = [z["arg"] / z["frame"] for z in all_data]
cc["a/(f*t/s)"] = [
z["arg"] / (z["frame"] * z["tok"] / z["sent"]) for z in all_data
]
cc["AO"] = [z["arg_overlapped"] / z["arg"] for z in all_data]
cc["AO1"] = [z["arg_overlapped_R1"] / z["arg_R1"] for z in all_data]
# others
cc["frame_wlen"] = [_show_entry(z["frame_wlen"]) for z in all_data]
cc["frame_trigger_pos"] = [
_show_entry(z["frame_trigger_pos"]) for z in all_data
]
cc["frame_type"] = [_show_entry(z["frame_type"]) for z in all_data]
cc["frame_type0"] = [_show_entry(z["frame_type0"]) for z in all_data]
cc["arg_wlen_m30"] = [_show_entry(z["arg_wlen_m30"]) for z in all_data]
cc["arg_role"] = [_show_entry(z["arg_role"]) for z in all_data]
cc["arg_repeat"] = [_show_entry(z["arg_repeat"]) for z in all_data]
cc["arg_repeatR"] = [_show_entry(z["arg_repeatR"]) for z in all_data]
# --
def left_justified(df):
try:
formatters = {}
for li in list(df.columns):
max = df[li].str.len().max()
form = "{{:<{}s}}".format(max)
formatters[li] = functools.partial(str.format, form)
return df.to_string(formatters=formatters)
except:
return df.to_string()
# --
dd = pd.DataFrame(cc, index=all_data_names)
for group_name, group_keys in all_groups.items():
zlog(f"#== GROUP {group_name}\n" + left_justified(dd[group_keys]))
def __init__(self, file: str):
self.file = file
self.fd = zopen(file, 'wb')
zlog(f"Open file for OutputHelper writing: {file}({self.fd})")
