From 2641dd9fc598454b6ad400c767e7b078231fc0dd Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Fri, 13 Jan 2023 19:14:37 +0000
Subject: [PATCH 1/2] Bump torch from 1.10.1 to 1.13.1

Bumps [torch](https://github.com/pytorch/pytorch) from 1.10.1 to 1.13.1.
- [Release notes](https://github.com/pytorch/pytorch/releases)
- [Changelog](https://github.com/pytorch/pytorch/blob/master/RELEASE.md)
- [Commits](https://github.com/pytorch/pytorch/compare/v1.10.1...v1.13.1)

---
updated-dependencies:
- dependency-name: torch
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
---
 requirements.txt | 2 +-
 setup.py         | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/requirements.txt b/requirements.txt
index 7ccd20e6..26c54a56 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -11,6 +11,6 @@ truecase
 requests>=2.20
 pandas==1.3.5
 transformers==4.25.1 
-torch==1.10.1
+torch==1.13.1
 pytest
 tensorflow-addons==0.19.0
diff --git a/setup.py b/setup.py
index 18a7c76d..c26a43f5 100644
--- a/setup.py
+++ b/setup.py
@@ -23,7 +23,7 @@
         'pydot==1.4.0',
         'lmdb==1.2.1',
         'transformers==4.25.1', 
-        'torch==1.10.1',
+        'torch==1.13.1',
         'truecase',
         'requests>=2.20',
         'pandas==1.3.5',

From e22c86cd6b701378269577c145d2241c30079f5b Mon Sep 17 00:00:00 2001
From: lopez <patrice.lopez@science-miner.com>
Date: Mon, 28 Aug 2023 20:41:51 +0200
Subject: [PATCH 2/2] fix class value

---
 delft/textClassification/reader.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/delft/textClassification/reader.py b/delft/textClassification/reader.py
index f18bcbcc..46b1621e 100644
--- a/delft/textClassification/reader.py
+++ b/delft/textClassification/reader.py
@@ -234,10 +234,10 @@ def load_dataseer_corpus_csv(filepath):
         reuse_list = np.asarray(reuse_list)
         # map boolean values to [0,1]
         def map_boolean(x):
-            return [1.0,0.0] if x else [0.0,1.0]
+            return [1.0,0.0] if x == 'no_reuse' else [0.0,1.0]
         reuse_list = np.array(list(map(map_boolean, reuse_list)))
         print(reuse_list)
-        return np.asarray(texts_list), reuse_list, None, None, ["not_reuse", "reuse"], None, None
+        return np.asarray(texts_list), reuse_list, None, None, ["no_reuse", "reuse"], None, None
 
     # otherwise we have the list of datatypes, and optionally subtypes and leaf datatypes
     datatypes = df.iloc[:,2]