prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Set label as 0 in the QANeeded model when one of the qa flags are removed
  
  
  </issue>
  <code>
  [start of bugbug/models/qaneeded.py]
  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 of bugbug/models/qaneeded.py]
  </code>
  
  I need you to solve this issue by generating a single patch file that I can apply directly to this repository using git apply. Please respond with a single patch file in the following format.
  <patch>
  diff --git a/file.py b/file.py
  --- a/file.py
  +++ b/file.py
  @@ -1,27 +1,35 @@
   def euclidean(a, b):
  -    while b:
  -        a, b = b, a % b
  -    return a
  +    if b == 0:
  +        return a
  +    return euclidean(b, a % b)
   
   
   def bresenham(x0, y0, x1, y1):
       points = []
       dx = abs(x1 - x0)
       dy = abs(y1 - y0)
  -    sx = 1 if x0 < x1 else -1
  -    sy = 1 if y0 < y1 else -1
  -    err = dx - dy
  +    x, y = x0, y0
  +    sx = -1 if x0 > x1 else 1
  +    sy = -1 if y0 > y1 else 1
   
  -    while True:
  -        points.append((x0, y0))
  -        if x0 == x1 and y0 == y1:
  -            break
  -        e2 = 2 * err
  -        if e2 > -dy:
  -            err -= dy
  -            x0 += sx
  -        if e2 < dx:
  -            err += dx
  -            y0 += sy
  +    if dx > dy:
  +        err = dx / 2.0
  +        while x != x1:
  +            points.append((x, y))
  +            err -= dy
  +            if err < 0:
  +                y += sy
  +                err += dx
  +            x += sx
  +    else:
  +        err = dy / 2.0
  +        while y != y1:
  +            points.append((x, y))
  +            err -= dx
  +            if err < 0:
  +                x += sx
  +                err += dy
  +            y += sy
  +
  +    points.append((x, y))
       return points
  
  </patch>
golden_diff: 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
  
verification_info: {"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"}]}