We are currently solving the following issue within our repository. Here is the issue text:
--- BEGIN ISSUE ---
Set label as 0 in the QANeeded model when one of the qa flags are removed


--- END ISSUE ---

Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
--- BEGIN FILES ---
Path: `bugbug/models/qaneeded.py`
Content:
```
1 # -*- coding: utf-8 -*-
2 # This Source Code Form is subject to the terms of the Mozilla Public
3 # License, v. 2.0. If a copy of the MPL was not distributed with this file,
4 # You can obtain one at http://mozilla.org/MPL/2.0/.
5 
6 import xgboost
7 from imblearn.under_sampling import RandomUnderSampler
8 from sklearn.compose import ColumnTransformer
9 from sklearn.feature_extraction import DictVectorizer
10 from sklearn.pipeline import Pipeline
11 
12 from bugbug import bug_features, bugzilla, feature_cleanup
13 from bugbug.model import BugModel
14 
15 
16 class QANeededModel(BugModel):
17     def __init__(self, lemmatization=False):
18         BugModel.__init__(self, lemmatization)
19 
20         self.sampler = RandomUnderSampler(random_state=0)
21 
22         feature_extractors = [
23             bug_features.has_str(),
24             bug_features.has_regression_range(),
25             bug_features.severity(),
26             bug_features.keywords({"qawanted"}),
27             bug_features.is_coverity_issue(),
28             bug_features.has_crash_signature(),
29             bug_features.has_url(),
30             bug_features.has_w3c_url(),
31             bug_features.has_github_url(),
32             bug_features.whiteboard(),
33             bug_features.patches(),
34             bug_features.landings(),
35         ]
36 
37         cleanup_functions = [
38             feature_cleanup.fileref(),
39             feature_cleanup.url(),
40             feature_cleanup.synonyms(),
41         ]
42 
43         self.extraction_pipeline = Pipeline(
44             [
45                 (
46                     "bug_extractor",
47                     bug_features.BugExtractor(
48                         feature_extractors,
49                         cleanup_functions,
50                         rollback=True,
51                         rollback_when=self.rollback,
52                     ),
53                 ),
54                 (
55                     "union",
56                     ColumnTransformer(
57                         [
58                             ("data", DictVectorizer(), "data"),
59                             ("title", self.text_vectorizer(), "title"),
60                             ("comments", self.text_vectorizer(), "comments"),
61                         ]
62                     ),
63                 ),
64             ]
65         )
66 
67         self.clf = xgboost.XGBClassifier(n_jobs=16)
68         self.clf.set_params(predictor="cpu_predictor")
69 
70     def rollback(self, change):
71         return any(
72             change["added"].startswith(prefix)
73             for prefix in ["qawanted", "qe-verify", "qaurgent"]
74         )
75 
76     def get_labels(self):
77         classes = {}
78 
79         for bug_data in bugzilla.get_bugs():
80             bug_id = int(bug_data["id"])
81 
82             found_qa = False
83             if any(
84                 keyword.startswith(label)
85                 for keyword in bug_data["keywords"]
86                 for label in ["qawanted", "qe-verify", "qaurgent"]
87             ):
88                 classes[bug_id] = 1
89                 found_qa = True
90 
91             if not found_qa:
92                 for entry in bug_data["history"]:
93                     for change in entry["changes"]:
94                         if any(
95                             change["added"].startswith(label)
96                             for label in ["qawanted", "qe-verify", "qaurgent"]
97                         ):
98                             classes[bug_id] = 1
99             if bug_id not in classes:
100                 classes[bug_id] = 0
101 
102         return classes, [0, 1]
103 
104     def get_feature_names(self):
105         return self.extraction_pipeline.named_steps["union"].get_feature_names()
106
```
--- END FILES ---

Please first localize the bug based on the issue statement, and then generate a patch according to the `git diff` format fenced by three backticks.

Here is an example:

```diff
diff --git a/examples/server_async.py b/examples/server_async.py
--- a/examples/server_async.py
+++ b/examples/server_async.py
@@ -313,4 +313,4 @@
 
 
 if __name__ == "__main__":
-    asyncio.run(run_async_server("."), debug=True)
+    asyncio.run(run_async_server(), debug=True)
diff --git a/examples/server_sync.py b/examples/server_sync.py
--- a/examples/server_sync.py
+++ b/examples/server_sync.py
@@ -313,5 +313,5 @@
 
 
 if __name__ == "__main__":
-    server = run_sync_server(".")
+    server = run_sync_server()
     server.shutdown()

```

diff --git a/bugbug/models/qaneeded.py b/bugbug/models/qaneeded.py
--- a/bugbug/models/qaneeded.py
+++ b/bugbug/models/qaneeded.py
@@ -91,11 +91,18 @@
             if not found_qa:
                 for entry in bug_data["history"]:
                     for change in entry["changes"]:
+                        if any(
+                            change["removed"].startswith(label)
+                            for label in ["qawanted", "qe-verify", "qaurgent"]
+                        ):
+                            classes[bug_id] = 0
+
                         if any(
                             change["added"].startswith(label)
                             for label in ["qawanted", "qe-verify", "qaurgent"]
                         ):
                             classes[bug_id] = 1
+
             if bug_id not in classes:
                 classes[bug_id] = 0

{"golden_diff": "diff --git a/bugbug/models/qaneeded.py b/bugbug/models/qaneeded.py\n--- a/bugbug/models/qaneeded.py\n+++ b/bugbug/models/qaneeded.py\n@@ -91,11 +91,18 @@\n             if not found_qa:\n                 for entry in bug_data[\"history\"]:\n                     for change in entry[\"changes\"]:\n+                        if any(\n+                            change[\"removed\"].startswith(label)\n+                            for label in [\"qawanted\", \"qe-verify\", \"qaurgent\"]\n+                        ):\n+                            classes[bug_id] = 0\n+\n                         if any(\n                             change[\"added\"].startswith(label)\n                             for label in [\"qawanted\", \"qe-verify\", \"qaurgent\"]\n                         ):\n                             classes[bug_id] = 1\n+\n             if bug_id not in classes:\n                 classes[bug_id] = 0\n", "issue": "Set label as 0 in the QANeeded model when one of the qa flags are removed\n\n", "before_files": [{"content": "# -*- coding: utf-8 -*-\n# This Source Code Form is subject to the terms of the Mozilla Public\n# License, v. 2.0. If a copy of the MPL was not distributed with this file,\n# You can obtain one at http://mozilla.org/MPL/2.0/.\n\nimport xgboost\nfrom imblearn.under_sampling import RandomUnderSampler\nfrom sklearn.compose import ColumnTransformer\nfrom sklearn.feature_extraction import DictVectorizer\nfrom sklearn.pipeline import Pipeline\n\nfrom bugbug import bug_features, bugzilla, feature_cleanup\nfrom bugbug.model import BugModel\n\n\nclass QANeededModel(BugModel):\n    def __init__(self, lemmatization=False):\n        BugModel.__init__(self, lemmatization)\n\n        self.sampler = RandomUnderSampler(random_state=0)\n\n        feature_extractors = [\n            bug_features.has_str(),\n            bug_features.has_regression_range(),\n            bug_features.severity(),\n            bug_features.keywords({\"qawanted\"}),\n            bug_features.is_coverity_issue(),\n            bug_features.has_crash_signature(),\n            bug_features.has_url(),\n            bug_features.has_w3c_url(),\n            bug_features.has_github_url(),\n            bug_features.whiteboard(),\n            bug_features.patches(),\n            bug_features.landings(),\n        ]\n\n        cleanup_functions = [\n            feature_cleanup.fileref(),\n            feature_cleanup.url(),\n            feature_cleanup.synonyms(),\n        ]\n\n        self.extraction_pipeline = Pipeline(\n            [\n                (\n                    \"bug_extractor\",\n                    bug_features.BugExtractor(\n                        feature_extractors,\n                        cleanup_functions,\n                        rollback=True,\n                        rollback_when=self.rollback,\n                    ),\n                ),\n                (\n                    \"union\",\n                    ColumnTransformer(\n                        [\n                            (\"data\", DictVectorizer(), \"data\"),\n                            (\"title\", self.text_vectorizer(), \"title\"),\n                            (\"comments\", self.text_vectorizer(), \"comments\"),\n                        ]\n                    ),\n                ),\n            ]\n        )\n\n        self.clf = xgboost.XGBClassifier(n_jobs=16)\n        self.clf.set_params(predictor=\"cpu_predictor\")\n\n    def rollback(self, change):\n        return any(\n            change[\"added\"].startswith(prefix)\n            for prefix in [\"qawanted\", \"qe-verify\", \"qaurgent\"]\n        )\n\n    def get_labels(self):\n        classes = {}\n\n        for bug_data in bugzilla.get_bugs():\n            bug_id = int(bug_data[\"id\"])\n\n            found_qa = False\n            if any(\n                keyword.startswith(label)\n                for keyword in bug_data[\"keywords\"]\n                for label in [\"qawanted\", \"qe-verify\", \"qaurgent\"]\n            ):\n                classes[bug_id] = 1\n                found_qa = True\n\n            if not found_qa:\n                for entry in bug_data[\"history\"]:\n                    for change in entry[\"changes\"]:\n                        if any(\n                            change[\"added\"].startswith(label)\n                            for label in [\"qawanted\", \"qe-verify\", \"qaurgent\"]\n                        ):\n                            classes[bug_id] = 1\n            if bug_id not in classes:\n                classes[bug_id] = 0\n\n        return classes, [0, 1]\n\n    def get_feature_names(self):\n        return self.extraction_pipeline.named_steps[\"union\"].get_feature_names()\n", "path": "bugbug/models/qaneeded.py"}], "after_files": [{"content": "# -*- coding: utf-8 -*-\n# This Source Code Form is subject to the terms of the Mozilla Public\n# License, v. 2.0. If a copy of the MPL was not distributed with this file,\n# You can obtain one at http://mozilla.org/MPL/2.0/.\n\nimport xgboost\nfrom imblearn.under_sampling import RandomUnderSampler\nfrom sklearn.compose import ColumnTransformer\nfrom sklearn.feature_extraction import DictVectorizer\nfrom sklearn.pipeline import Pipeline\n\nfrom bugbug import bug_features, bugzilla, feature_cleanup\nfrom bugbug.model import BugModel\n\n\nclass QANeededModel(BugModel):\n    def __init__(self, lemmatization=False):\n        BugModel.__init__(self, lemmatization)\n\n        self.sampler = RandomUnderSampler(random_state=0)\n\n        feature_extractors = [\n            bug_features.has_str(),\n            bug_features.has_regression_range(),\n            bug_features.severity(),\n            bug_features.keywords({\"qawanted\"}),\n            bug_features.is_coverity_issue(),\n            bug_features.has_crash_signature(),\n            bug_features.has_url(),\n            bug_features.has_w3c_url(),\n            bug_features.has_github_url(),\n            bug_features.whiteboard(),\n            bug_features.patches(),\n            bug_features.landings(),\n        ]\n\n        cleanup_functions = [\n            feature_cleanup.fileref(),\n            feature_cleanup.url(),\n            feature_cleanup.synonyms(),\n        ]\n\n        self.extraction_pipeline = Pipeline(\n            [\n                (\n                    \"bug_extractor\",\n                    bug_features.BugExtractor(\n                        feature_extractors,\n                        cleanup_functions,\n                        rollback=True,\n                        rollback_when=self.rollback,\n                    ),\n                ),\n                (\n                    \"union\",\n                    ColumnTransformer(\n                        [\n                            (\"data\", DictVectorizer(), \"data\"),\n                            (\"title\", self.text_vectorizer(), \"title\"),\n                            (\"comments\", self.text_vectorizer(), \"comments\"),\n                        ]\n                    ),\n                ),\n            ]\n        )\n\n        self.clf = xgboost.XGBClassifier(n_jobs=16)\n        self.clf.set_params(predictor=\"cpu_predictor\")\n\n    def rollback(self, change):\n        return any(\n            change[\"added\"].startswith(prefix)\n            for prefix in [\"qawanted\", \"qe-verify\", \"qaurgent\"]\n        )\n\n    def get_labels(self):\n        classes = {}\n\n        for bug_data in bugzilla.get_bugs():\n            bug_id = int(bug_data[\"id\"])\n\n            found_qa = False\n            if any(\n                keyword.startswith(label)\n                for keyword in bug_data[\"keywords\"]\n                for label in [\"qawanted\", \"qe-verify\", \"qaurgent\"]\n            ):\n                classes[bug_id] = 1\n                found_qa = True\n\n            if not found_qa:\n                for entry in bug_data[\"history\"]:\n                    for change in entry[\"changes\"]:\n                        if any(\n                            change[\"removed\"].startswith(label)\n                            for label in [\"qawanted\", \"qe-verify\", \"qaurgent\"]\n                        ):\n                            classes[bug_id] = 0\n\n                        if any(\n                            change[\"added\"].startswith(label)\n                            for label in [\"qawanted\", \"qe-verify\", \"qaurgent\"]\n                        ):\n                            classes[bug_id] = 1\n\n            if bug_id not in classes:\n                classes[bug_id] = 0\n\n        return classes, [0, 1]\n\n    def get_feature_names(self):\n        return self.extraction_pipeline.named_steps[\"union\"].get_feature_names()\n", "path": "bugbug/models/qaneeded.py"}]}