def make_numbers_timewise_filtered_dataset_metrics(self,
dataset: str = "large",
filter: str = "beta"):
file = latex.File(
self.tables_dir /
f"numbers-time-wise-{filter}-filtered-{dataset}-dataset-metrics.tex"
)
metrics = IOUtils.load(
Macros.results_dir / "metrics" /
f"time-wise-{filter}-filtered-{dataset}-dataset-stats.json",
IOUtils.Format.json)
for t in metrics.keys():
for k, v in metrics[t].items():
if k == "num-methods":
file.append_macro(
latex.Macro(f"{dataset}-{filter}-{t}-{k}", f"{v}"))
# TODO: change back
"""
else:
file.append_macro(latex.Macro(f"{dataset}-{filter}-{t}-{k}", "{:.1f}".format(v)))
"""
# end for
file.save()
return
def make_numbers_dataset_metrics(self):
for task in Macros.tasks:
file = latex.File(self.tables_dir /
f"numbers-{task}-dataset-metrics.tex")
dataset_metrics = IOUtils.load(
Macros.results_dir / "metrics" / f"{task}-dataset.json",
IOUtils.Format.json)
for k, v in dataset_metrics.items():
fmt = f",d" if type(v) == int else f",.2f"
file.append_macro(latex.Macro(f"ds-{task}-{k}", f"{v:{fmt}}"))
raw_dataset_metrics = IOUtils.load(
Macros.results_dir / "metrics" / f"{task}-raw-dataset.json",
IOUtils.Format.json)
for k, v in raw_dataset_metrics.items():
fmt = f",d" if type(v) == int else f",.2f"
file.append_macro(
latex.Macro(f"raw-ds-{task}-{k}", f"{v:{fmt}}"))
file.save()
return
def make_numbers_timewise_dataset_metrics(self, dataset: str = "large"):
file = latex.File(self.tables_dir /
f"numbers-time-wise-{dataset}-dataset-metrics.tex")
metrics = IOUtils.load(
Macros.results_dir / "metrics" /
f"time-wise-{dataset}-dataset-stats.json", IOUtils.Format.json)
for t in metrics.keys():
for k, v in metrics[t].items():
file.append_macro(latex.Macro(f"{dataset}-{t}-{k}", f"{v}"))
# end for
file.save()
return
def make_numbers_model_results(self, model: str):
file = latex.File(self.tables_dir / f"numbers-{model}-results.tex")
stat_results = IOUtils.load(Macros.results_dir / "metrics" /
f"results-stat-{model}.json")
for exp, exp_stat_results in stat_results.items():
for test_set, set_stat_results in exp_stat_results.items():
for metric, metric_stat_results in set_stat_results.items():
for stat, number in metric_stat_results.items():
macro_name = f"{exp}-{test_set}-{metric}-{model}-{stat}"
if number == np.NaN or number == "NaN":
macro_value = r"\Fix{NaN}"
else:
macro_value = f"{number:,.2f}"
file.append_macro(latex.Macro(macro_name, macro_value))
file.save()
return
def make_table_timewise_dataset_metrics(self, dataset: str = "large"):
file = latex.File(self.tables_dir /
(f"table-time-wise-{dataset}-dataset-metrics.tex"))
years = range(2013, 2021)
# Header
file.append(r"\begin{table*}")
file.append(r"\begin{small}")
file.append(r"\begin{center}")
caption = r"Dataset statistics " + dataset
file.append(r"\caption{" + caption + "}")
file.append(r"\begin{tabular}{l | r r r r r r r r}")
file.append(r"\toprule")
file.append(r" &"
r"2013 & "
r"2014 & "
r"2015 & "
r"2016 & "
r"2017 & "
r"2018 & "
r"2019 & "
r"2020 \\")
file.append(r"\midrule")
for tvt in ["num-methods", "num-projs", "delta"]:
file.append(f"{tvt}")
for m in years:
key = f"{dataset}-{m}_Jan_1-{tvt}"
file.append(" & " + latex.Macro(key).use())
# end for
file.append(r"\\")
# end for
# Footer
file.append(r"\bottomrule")
file.append(r"\end{tabular}")
file.append(r"\end{center}")
file.append(r"\end{small}")
file.append(r"\vspace{\TVDatasetMetrics}")
file.append(r"\end{table*}")
file.save()
return
def make_table_timewise_filtered_dataset_metrics(self,
dataset: str = "large",
filter: str = "beta"):
years = range(2013, 2020)
t_diffs = [f"{t}_Jan_1-{t + 1}_Jan_1" for t in years]
time_points = [f"{t}-{t + 1}" for t in years]
# Header
if filter == "beta":
file = latex.File(self.tables_dir / (
f"table-time-wise-{filter}-filtered-{dataset}-dataset-metrics.tex"
))
file.append(r"\begin{table*}")
file.append(r"\begin{small}")
file.append(r"\begin{center}")
caption = f"Method naming statistics after filtering"
file.append(r"\caption{" + caption + "}")
file.append(r"\begin{tabular}{l | c }")
file.append(r"\toprule")
file.append(r" ")
for m in ["num-methods"]:
file.append(r" &")
file.append(f"{m} ")
file.append(r" \\")
file.append(r"\midrule")
for time, t in zip(t_diffs, time_points):
file.append(f"{t}")
file.append(" & " + latex.Macro(
f"{dataset}-{filter}-{time}-num-methods").use())
file.append(r"\\")
# Footer
file.append(r"\bottomrule")
file.append(r"\end{tabular}")
file.append(r"\end{center}")
file.append(r"\end{small}")
file.append(r"\vspace{\TVDatasetMetrics}")
file.append(r"\end{table*}")
file.save()
return
for item in ["method", "comment"]:
file = latex.File(self.tables_dir / (
f"table-time-wise-{filter}-filtered-{item}-{dataset}-dataset-metrics.tex"
))
file.append(r"\begin{table*}")
file.append(r"\begin{small}")
file.append(r"\begin{center}")
caption = f"{item} statistics after filtering"
file.append(r"\caption{" + caption + "}")
file.append(r"\begin{tabular}{l | c c c c c c c}")
file.append(r"\toprule")
if item == "method":
file.append(r" ")
for m in [
"num-methods", "len-avg", "len-mode", "len-median",
"len<100", "len<150", "len<200"
]:
file.append(r" &")
file.append(f"{m} ")
file.append(r" \\")
file.append(r"\midrule")
for time, t in zip(t_diffs, time_points):
file.append(f"{t}")
file.append(
" & " +
latex.Macro(f"{dataset}-{time}-num-methods").use())
for tvt in [
"avg", "mode", "median", "less-100", "less-150",
"less-200"
]:
file.append(" & " + latex.Macro(
f"{dataset}-{time}-method-tokens-{tvt}").use())
file.append(r"\\")
# Footer
file.append(r"\bottomrule")
file.append(r"\end{tabular}")
file.append(r"\end{center}")
file.append(r"\end{small}")
file.append(r"\vspace{\TVDatasetMetrics}")
file.append(r"\end{table*}")
file.save()
elif item == "comment":
file.append(r" ")
for m in [
"num-methods", "len-avg", "len-mode", "len-median",
"len<20", "len<30", "len<50"
]:
file.append(r" &")
file.append(f"{m} ")
file.append(r" \\")
file.append(r"\midrule")
for time, t in zip(t_diffs, time_points):
file.append(f"{t}")
file.append(
" & " +
latex.Macro(f"{dataset}-{time}-num-methods").use())
for tvt in [
"avg", "mode", "median", "less-20", "less-30",
"less-50"
]:
file.append(" & " + latex.Macro(
f"{dataset}-{time}-{item}-tokens-{tvt}").use())
file.append(r"\\")
# Footer
file.append(r"\bottomrule")
file.append(r"\end{tabular}")
file.append(r"\end{center}")
file.append(r"\end{small}")
file.append(r"\vspace{\TVDatasetMetrics}")
file.append(r"\end{table*}")
file.save()
return
def make_table_dataset_metrics(self, version: str):
for task in Macros.tasks:
if version == "main":
file = latex.File(self.tables_dir /
f"table-{task}-dataset-metrics-main.tex")
elif version == "split":
file = latex.File(self.tables_dir /
f"table-{task}-dataset-metrics-split.tex")
else:
raise ValueError(f"Invalid version {version}")
metric_2_th = collections.OrderedDict()
metric_2_th[
"num-proj"] = r"\multicolumn{2}{c|}{\UseMacro{TH-ds-num-project}}"
metric_2_th[
"num-data"] = r"\multicolumn{2}{c|}{\UseMacro{TH-ds-num-data}}"
metric_2_th["len-meth-AVG"] = r"& \UseMacro{TH-ds-len-method-avg}"
metric_2_th[
"len-meth-MODE"] = r"& \UseMacro{TH-ds-len-method-mode}"
metric_2_th[
"len-meth-MEDIAN"] = r"& \UseMacro{TH-ds-len-method-median}"
metric_2_th[
"len-meth-le-100"] = r"& \UseMacro{TH-ds-len-method-le100}"
metric_2_th[
"len-meth-le-150"] = r"& \UseMacro{TH-ds-len-method-le150}"
metric_2_th[
"len-meth-le-200"] = r"\multirow{-6}{*}{\UseMacro{TH-ds-len-method}} & \UseMacro{TH-ds-len-method-le200}"
metric_2_th["len-com-AVG"] = r"& \UseMacro{TH-ds-len-comment-avg}"
metric_2_th[
"len-com-MODE"] = r"& \UseMacro{TH-ds-len-comment-mode}"
metric_2_th[
"len-com-MEDIAN"] = r"& \UseMacro{TH-ds-len-comment-median}"
metric_2_th[
"len-com-le-20"] = r"& \UseMacro{TH-ds-len-comment-le20}"
metric_2_th[
"len-com-le-30"] = r"& \UseMacro{TH-ds-len-comment-le30}"
metric_2_th[
"len-com-le-50"] = r"\multirow{-6}{*}{\UseMacro{TH-ds-len-comment}} & \UseMacro{TH-ds-len-comment-le50}"
metric_2_th["len-name-AVG"] = r"& \UseMacro{TH-ds-len-name-avg}"
metric_2_th["len-name-MODE"] = r"& \UseMacro{TH-ds-len-name-mode}"
metric_2_th[
"len-name-MEDIAN"] = r"& \UseMacro{TH-ds-len-name-median}"
metric_2_th["len-name-le-3"] = r"& \UseMacro{TH-ds-len-name-le2}"
metric_2_th["len-name-le-5"] = r"& \UseMacro{TH-ds-len-name-le3}"
metric_2_th[
"len-name-le-6"] = r"\multirow{-6}{*}{\UseMacro{TH-ds-len-name}} & \UseMacro{TH-ds-len-name-le6}"
sep_after_rows = [
"num-data",
"len-meth-le-200",
"len-com-le-50",
]
dt_2_is_raw = collections.OrderedDict()
if version == "main":
dt_2_is_raw["all"] = True
dt_2_is_raw["2020"] = False
dt_2_is_raw["2019-2020"] = False
sep_after_cols = []
elif version == "split":
for exp in ["mixedproj", "crossproj", "evo"]:
for dt in [Macros.train, Macros.val]:
dt_2_is_raw[f"{exp}-2020-{dt}"] = False
dt_2_is_raw[f"2020-{Macros.test_common}"] = False
sep_after_cols = [
f"mixedproj-2020-{Macros.val}",
f"crossproj-2020-{Macros.val}",
]
else:
raise ValueError(f"Invalid version {version}")
# Header
file.append(r"\begin{" +
("table*" if version == "split" else "table") + "}")
file.append(r"\begin{small}")
file.append(r"\begin{center}")
if version == "main":
table_name = "DatasetMetricsMain"
elif version == "split":
table_name = "DatasetMetricsSplit"
else:
raise ValueError(f"Invalid version {version}")
file.append(r"\caption{\TC" + table_name + "}")
if version == "main":
file.append(
r"\begin{tabular}{ l@{\hspace{2pt}}|@{\hspace{2pt}}c@{\hspace{2pt}} | r r r}"
)
elif version == "split":
file.append(
r"\begin{tabular}{ l@{\hspace{2pt}}|@{\hspace{2pt}}c@{\hspace{2pt}} | rr @{\hspace{5pt}}c@{\hspace{5pt}} rr @{\hspace{5pt}}c@{\hspace{5pt}} rr r}"
)
else:
raise ValueError(f"Invalid version {version}")
file.append(r"\toprule")
if version == "main":
# Line 1
file.append(r"\multicolumn{2}{c|}{} & & & \\")
# Line 2
file.append(
r"\multicolumn{2}{c|}{\multirow{-2}{*}{\THDSStat}} & \multirow{-2}{*}{\UseMacro{TH-ds-all}} & \multirow{-2}{*}{\UseMacro{TH-ds-2020}} & \multirow{-2}{*}{\UseMacro{TH-ds-2019-2020}} \\"
)
elif version == "split":
# Line 1
file.append(
r"\multicolumn{2}{c|}{}"
r" & \multicolumn{2}{c}{\UseMacro{TH-ds-mixedproj}} &"
r" & \multicolumn{2}{c}{\UseMacro{TH-ds-crossproj}} &"
r" & \multicolumn{2}{c}{\UseMacro{TH-ds-evo}}"
r" & \\\cline{3-4}\cline{6-7}\cline{9-10}")
# Line 2
file.append(
r"\multicolumn{2}{c|}{\multirow{-2}{*}{\THDSStat}}"
r" & \UseMacro{TH-ds-mixedproj-train} & \UseMacro{TH-ds-mixedproj-val} &"
r" & \UseMacro{TH-ds-crossproj-train} & \UseMacro{TH-ds-crossproj-val} &"
r" & \UseMacro{TH-ds-evo-train} & \UseMacro{TH-ds-evo-val}"
r" & \multirow{-2}{*}{\UseMacro{TH-ds-test}} \\")
else:
raise ValueError(f"Invalid version {version}")
file.append(r"\midrule")
for metric, row_th in metric_2_th.items():
file.append(row_th)
for dt, is_raw in dt_2_is_raw.items():
if metric == "num-proj":
if dt == f"crossproj-2020-{Macros.train}":
macro_name = f"ds-{task}-num-proj_{Macros.train}"
elif dt == f"crossproj-2020-{Macros.val}":
macro_name = f"ds-{task}-num-proj_{Macros.val}"
elif dt == f"2020-{Macros.test_common}":
macro_name = f"ds-{task}-num-proj_{Macros.test}"
else:
macro_name = f"ds-{task}-num-proj"
elif is_raw:
macro_name = f"raw-ds-{task}-{metric}_{dt}"
else:
macro_name = f"ds-{task}-{metric}_{dt}"
file.append(" & " + latex.Macro(macro_name).use())
if dt in sep_after_cols:
file.append(" & ")
file.append(r"\\")
if metric in sep_after_rows:
file.append(r"\midrule")
# Footer
file.append(r"\bottomrule")
file.append(r"\end{tabular}")
file.append(r"\end{center}")
file.append(r"\end{small}")
file.append(r"\vspace{\TV" + table_name + "}")
file.append(r"\end{" +
("table*" if version == "split" else "table") + "}")
file.save()
return
def make_table_methd_name_results(self, task="Method-naming"):
models = ["Bi-LSTM", "no-split-Bi-LSTM", "Code2Seq"]
metrics = ["precision", "recall", "f1"]
file = latex.File(self.tables_dir / f"table-{task}-models-results.tex")
# evo results
years = range(13, 18)
# Header
file.append(r"\begin{table*}")
file.append(r"\begin{small}")
file.append(r"\begin{center}")
caption = f"{task} results"
file.append(r"\caption{" + caption + "}")
# \begin{tabular}{l | c | c |c |c |c}
coll = r"\begin{tabular}{l"
for i in range(len(models) * 3):
coll += "|c"
coll += "}"
file.append(coll)
file.append(r"\toprule")
file.append(r" \multirow{2}{*}{Time-Metrics}")
for m in models:
file.append(r"& \multicolumn{3}{c}" + f"{{{m}}}")
file.append(r"\\")
for i in range(len(models)):
for metric in metrics:
file.append(f"& {metric}")
file.append(r"\\")
file.append(r"\midrule")
for t in years:
file.append(f"20{t}-20{t + 1}-train")
for m in models:
for metric in metrics:
m = m.lower()
key = f"{m.lower()}-{t}{t + 1}-train-{metric}"
file.append(" & " + latex.Macro(key).use())
file.append(r"\\")
# end for
# end for
# end for
file.append(f"latest-mixed")
for m in models:
for metric in metrics:
m = m.lower()
key = f"{m.lower()}-latest-{metric}"
file.append(" & " + latex.Macro(key).use())
file.append(r"\\")
# end for
file.append(f"latest-cross-project")
for m in models:
for metric in metrics:
m = m.lower()
key = f"{m.lower()}-cross-proj-latest-{metric}"
file.append(" & " + latex.Macro(key).use())
file.append(r"\\")
# end for
# Footer
file.append(r"\bottomrule")
file.append(r"\end{tabular}")
file.append(r"\end{center}")
file.append(r"\end{small}")
file.append(r"\vspace{\TVDatasetMetrics}")
file.append(r"\end{table*}")
file.save()
return
def make_table_models_results(self, task: str):
if task == "ComGen":
models = ["Seq2seq", "Seq2seqAtt", "DeepCom"]
metrics = ["bleu", "xmatch"]
elif task == "MethNam":
models = ["Bi-LSTM", "no-split-Bi-LSTM", "Code2Seq"]
metrics = ["f1", "precision", "recall", "xmatch"]
else:
raise ValueError(f"Invalid task {task}")
exps = ["mixedproj-2020", "crossproj-2020", "evo-2020"]
# Load stat sign test results
no_diff_pairs = IOUtils.load(Macros.results_dir / "metrics" /
"sign-test" / f"{task}.json")
exp_model_metric_2_symbols = collections.defaultdict(list)
for i, (emm1, emm2, _) in enumerate(no_diff_pairs):
symbol = self.SYMBOLS[i]
exp_model_metric_2_symbols[tuple(emm1)].append(symbol)
exp_model_metric_2_symbols[tuple(emm2)].append(symbol)
file = latex.File(self.tables_dir / f"table-{task}-models-results.tex")
# Header
file.append(r"\begin{table*}")
file.append(r"\begin{small}")
file.append(r"\begin{center}")
table_name = f"Results{task}"
caption = r"\TC" + table_name
file.append(r"\caption{" + caption + "}")
file.append(r"\begin{tabular}{l" + ("|" + "r" * len(metrics)) * 3 +
"}")
file.append(r"\toprule")
# Line 1
for i, exp in enumerate(exps):
if i == len(exps) - 1:
multicolumn = "c"
else:
multicolumn = "c|"
file.append(r" & \multicolumn{" + f"{len(metrics)}" + r"}{" +
multicolumn + r"}{\UseMacro{TH-exp-" + exp + r"}}")
file.append(r"\\")
# Line 2
file.append(r"\multirow{-2}{*}{\THModel} ")
for exp in exps:
for metric in metrics:
file.append(r" & \UseMacro{TH-metric-" + metric + r"}")
file.append(r"\\")
file.append(r"\midrule")
for model in models:
file.append(r"\UseMacro{TH-model-" + model + r"}")
for exp in exps:
for metric in metrics:
suffix = ""
symbols = exp_model_metric_2_symbols[(exp, model, metric)]
if len(symbols) > 0:
suffix = "$^{" + "".join(symbols) + "}$"
file.append(r" & " + latex.Macro(
f"{exp}-test_common-{metric}-{model}-AVG").use() +
suffix)
# + r"$\pm$"
# + latex.Macro(f"{exp}-test_common-{metric}-{model}-STDEV").use())
file.append(r"\\")
# Footer
file.append(r"\bottomrule")
file.append(r"\end{tabular}")
file.append(r"\end{center}")
file.append(r"\end{small}")
file.append(r"\vspace{\TV" + table_name + r"}")
file.append(r"\end{table*}")
file.save()
return