From 546d0e4403b331f6b991fcc863815a347bd89980 Mon Sep 17 00:00:00 2001
From: Franck Dary <franck.dary@lis-lab.fr>
Date: Fri, 29 Nov 2019 18:12:19 +0100
Subject: [PATCH] Show errors in script printResults
---
UD_any/print_results.py | 22 ++++++++++++++++------
1 file changed, 16 insertions(+), 6 deletions(-)
diff --git a/UD_any/print_results.py b/UD_any/print_results.py
index 7b1abe3..39ffe17 100755
--- a/UD_any/print_results.py
+++ b/UD_any/print_results.py
@@ -11,6 +11,12 @@ if __name__ == "__main__" :
output = []
outputByModelScore = dict()
+ for pathToFile in glob.iglob("" + '*stderr') :
+ for line in open(pathToFile, "r") :
+ if "Error" in line or "ERROR" in line or "error" in line :
+ print(pathToFile,":")
+ print("\t"+line,end="")
+
for pathToFile in glob.iglob("" + '*stdout') :
model = pathToFile.split("_UD_")[0]
corpus = pathToFile.split("_UD_")[1].split('.')[0]
@@ -32,15 +38,19 @@ if __name__ == "__main__" :
for model in outputByModelScore :
for metric in outputByModelScore[model] :
score = 0.0
- standardDeviation = 0.0
for exp in outputByModelScore[model][metric] :
score += float(exp[2])
score /= len(outputByModelScore[model][metric])
- for exp in outputByModelScore[model][metric] :
- standardDeviation += (float(exp[2])-score)**2
- standardDeviation /= len(outputByModelScore[model][metric])-1
- standardDeviation = math.sqrt(standardDeviation)
- score = "%.2f[±%.2f]%%"%(score,standardDeviation)
+ standardDeviation = 0.0
+ if len(outputByModelScore[model][metric]) > 1 :
+ for exp in outputByModelScore[model][metric] :
+ standardDeviation += (float(exp[2])-score)**2
+ standardDeviation /= len(outputByModelScore[model][metric])-1
+ standardDeviation = math.sqrt(standardDeviation)
+ if standardDeviation > 0 :
+ score = "%.2f[±%.2f]%%"%(score,standardDeviation)
+ else :
+ score = "%.2f%%"%score
output.append(outputByModelScore[model][metric][0])
output[-1][2] = score
--
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