prompt: We are currently solving the following issue within our repository. Here is the issue text:
  --- BEGIN ISSUE ---
  typo in append_analysis_explenation_text
  It seems that there is a typo in the function name.
  
  append_analysis_expl**e**nation_text - > append_analysis_expl**a**nation_text
  
  --- END ISSUE ---
  
  Below are some code segments, each from a relevant file. One or more of these files may contain bugs.
  --- BEGIN FILES ---
  Path: `presidio-analyzer/presidio_analyzer/recognizer_result.py`
  Content:
  ```
  1 import logging
  2 from typing import Dict
  3 
  4 from presidio_analyzer import AnalysisExplanation
  5 
  6 
  7 class RecognizerResult:
  8     """
  9     Recognizer Result represents the findings of the detected entity.
  10 
  11     Result of a recognizer analyzing the text.
  12 
  13     :param entity_type: the type of the entity
  14     :param start: the start location of the detected entity
  15     :param end: the end location of the detected entity
  16     :param score: the score of the detection
  17     :param analysis_explanation: contains the explanation of why this
  18                                  entity was identified
  19     """
  20 
  21     logger = logging.getLogger("presidio-analyzer")
  22 
  23     def __init__(
  24         self,
  25         entity_type: str,
  26         start: int,
  27         end: int,
  28         score: float,
  29         analysis_explanation: AnalysisExplanation = None,
  30     ):
  31 
  32         self.entity_type = entity_type
  33         self.start = start
  34         self.end = end
  35         self.score = score
  36         self.analysis_explanation = analysis_explanation
  37 
  38     def append_analysis_explenation_text(self, text: str) -> None:
  39         """Add text to the analysis explanation."""
  40         if self.analysis_explanation:
  41             self.analysis_explanation.append_textual_explanation_line(text)
  42 
  43     def to_dict(self) -> Dict:
  44         """
  45         Serialize self to dictionary.
  46 
  47         :return: a dictionary
  48         """
  49         return self.__dict__
  50 
  51     @classmethod
  52     def from_json(cls, data: Dict) -> "RecognizerResult":
  53         """
  54         Create RecognizerResult from json.
  55 
  56         :param data: e.g. {
  57             "start": 24,
  58             "end": 32,
  59             "score": 0.8,
  60             "entity_type": "NAME"
  61         }
  62         :return: RecognizerResult
  63         """
  64         score = data.get("score")
  65         entity_type = data.get("entity_type")
  66         start = data.get("start")
  67         end = data.get("end")
  68         return cls(entity_type, start, end, score)
  69 
  70     def __repr__(self) -> str:
  71         """Return a string representation of the instance."""
  72         return self.__str__()
  73 
  74     def intersects(self, other: "RecognizerResult") -> int:
  75         """
  76         Check if self intersects with a different RecognizerResult.
  77 
  78         :return: If intersecting, returns the number of
  79         intersecting characters.
  80         If not, returns 0
  81         """
  82         # if they do not overlap the intersection is 0
  83         if self.end < other.start or other.end < self.start:
  84             return 0
  85 
  86         # otherwise the intersection is min(end) - max(start)
  87         return min(self.end, other.end) - max(self.start, other.start)
  88 
  89     def contained_in(self, other: "RecognizerResult") -> bool:
  90         """
  91         Check if self is contained in a different RecognizerResult.
  92 
  93         :return: true if contained
  94         """
  95         return self.start >= other.start and self.end <= other.end
  96 
  97     def contains(self, other: "RecognizerResult") -> bool:
  98         """
  99         Check if one result is contained or equal to another result.
  100 
  101         :param other: another RecognizerResult
  102         :return: bool
  103         """
  104         return self.start <= other.start and self.end >= other.end
  105 
  106     def equal_indices(self, other: "RecognizerResult") -> bool:
  107         """
  108         Check if the indices are equal between two results.
  109 
  110         :param other: another RecognizerResult
  111         :return:
  112         """
  113         return self.start == other.start and self.end == other.end
  114 
  115     def __gt__(self, other: "RecognizerResult") -> bool:
  116         """
  117         Check if one result is greater by using the results indices in the text.
  118 
  119         :param other: another RecognizerResult
  120         :return: bool
  121         """
  122         if self.start == other.start:
  123             return self.end > other.end
  124         return self.start > other.start
  125 
  126     def __eq__(self, other: "RecognizerResult") -> bool:
  127         """
  128         Check two results are equal by using all class fields.
  129 
  130         :param other: another RecognizerResult
  131         :return: bool
  132         """
  133         equal_type = self.entity_type == other.entity_type
  134         equal_score = self.score == other.score
  135         return self.equal_indices(other) and equal_type and equal_score
  136 
  137     def __hash__(self):
  138         """
  139         Hash the result data by using all class fields.
  140 
  141         :return: int
  142         """
  143         return hash(
  144             f"{str(self.start)} {str(self.end)} {str(self.score)} {self.entity_type}"
  145         )
  146 
  147     def __str__(self) -> str:
  148         """Return a string representation of the instance."""
  149         return (
  150             f"type: {self.entity_type}, "
  151             f"start: {self.start}, "
  152             f"end: {self.end}, "
  153             f"score: {self.score}"
  154         )
  155 
  156     def has_conflict(self, other: "RecognizerResult") -> bool:
  157         """
  158         Check if two recognizer results are conflicted or not.
  159 
  160         I have a conflict if:
  161         1. My indices are the same as the other and my score is lower.
  162         2. If my indices are contained in another.
  163 
  164         :param other: RecognizerResult
  165         :return:
  166         """
  167         if self.equal_indices(other):
  168             return self.score <= other.score
  169         return other.contains(self)
  170
  ```
  --- 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()
  
  ```
  
golden_diff: diff --git a/presidio-analyzer/presidio_analyzer/recognizer_result.py b/presidio-analyzer/presidio_analyzer/recognizer_result.py
  --- a/presidio-analyzer/presidio_analyzer/recognizer_result.py
  +++ b/presidio-analyzer/presidio_analyzer/recognizer_result.py
  @@ -35,7 +35,7 @@
           self.score = score
           self.analysis_explanation = analysis_explanation
   
  -    def append_analysis_explenation_text(self, text: str) -> None:
  +    def append_analysis_explanation_text(self, text: str) -> None:
           """Add text to the analysis explanation."""
           if self.analysis_explanation:
               self.analysis_explanation.append_textual_explanation_line(text)
  
verification_info: {"golden_diff": "diff --git a/presidio-analyzer/presidio_analyzer/recognizer_result.py b/presidio-analyzer/presidio_analyzer/recognizer_result.py\n--- a/presidio-analyzer/presidio_analyzer/recognizer_result.py\n+++ b/presidio-analyzer/presidio_analyzer/recognizer_result.py\n@@ -35,7 +35,7 @@\n         self.score = score\n         self.analysis_explanation = analysis_explanation\n \n-    def append_analysis_explenation_text(self, text: str) -> None:\n+    def append_analysis_explanation_text(self, text: str) -> None:\n         \"\"\"Add text to the analysis explanation.\"\"\"\n         if self.analysis_explanation:\n             self.analysis_explanation.append_textual_explanation_line(text)\n", "issue": "typo in append_analysis_explenation_text\nIt seems that there is a typo in the function name.\r\n\r\nappend_analysis_expl**e**nation_text - > append_analysis_expl**a**nation_text\n", "before_files": [{"content": "import logging\nfrom typing import Dict\n\nfrom presidio_analyzer import AnalysisExplanation\n\n\nclass RecognizerResult:\n    \"\"\"\n    Recognizer Result represents the findings of the detected entity.\n\n    Result of a recognizer analyzing the text.\n\n    :param entity_type: the type of the entity\n    :param start: the start location of the detected entity\n    :param end: the end location of the detected entity\n    :param score: the score of the detection\n    :param analysis_explanation: contains the explanation of why this\n                                 entity was identified\n    \"\"\"\n\n    logger = logging.getLogger(\"presidio-analyzer\")\n\n    def __init__(\n        self,\n        entity_type: str,\n        start: int,\n        end: int,\n        score: float,\n        analysis_explanation: AnalysisExplanation = None,\n    ):\n\n        self.entity_type = entity_type\n        self.start = start\n        self.end = end\n        self.score = score\n        self.analysis_explanation = analysis_explanation\n\n    def append_analysis_explenation_text(self, text: str) -> None:\n        \"\"\"Add text to the analysis explanation.\"\"\"\n        if self.analysis_explanation:\n            self.analysis_explanation.append_textual_explanation_line(text)\n\n    def to_dict(self) -> Dict:\n        \"\"\"\n        Serialize self to dictionary.\n\n        :return: a dictionary\n        \"\"\"\n        return self.__dict__\n\n    @classmethod\n    def from_json(cls, data: Dict) -> \"RecognizerResult\":\n        \"\"\"\n        Create RecognizerResult from json.\n\n        :param data: e.g. {\n            \"start\": 24,\n            \"end\": 32,\n            \"score\": 0.8,\n            \"entity_type\": \"NAME\"\n        }\n        :return: RecognizerResult\n        \"\"\"\n        score = data.get(\"score\")\n        entity_type = data.get(\"entity_type\")\n        start = data.get(\"start\")\n        end = data.get(\"end\")\n        return cls(entity_type, start, end, score)\n\n    def __repr__(self) -> str:\n        \"\"\"Return a string representation of the instance.\"\"\"\n        return self.__str__()\n\n    def intersects(self, other: \"RecognizerResult\") -> int:\n        \"\"\"\n        Check if self intersects with a different RecognizerResult.\n\n        :return: If intersecting, returns the number of\n        intersecting characters.\n        If not, returns 0\n        \"\"\"\n        # if they do not overlap the intersection is 0\n        if self.end < other.start or other.end < self.start:\n            return 0\n\n        # otherwise the intersection is min(end) - max(start)\n        return min(self.end, other.end) - max(self.start, other.start)\n\n    def contained_in(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if self is contained in a different RecognizerResult.\n\n        :return: true if contained\n        \"\"\"\n        return self.start >= other.start and self.end <= other.end\n\n    def contains(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if one result is contained or equal to another result.\n\n        :param other: another RecognizerResult\n        :return: bool\n        \"\"\"\n        return self.start <= other.start and self.end >= other.end\n\n    def equal_indices(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if the indices are equal between two results.\n\n        :param other: another RecognizerResult\n        :return:\n        \"\"\"\n        return self.start == other.start and self.end == other.end\n\n    def __gt__(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if one result is greater by using the results indices in the text.\n\n        :param other: another RecognizerResult\n        :return: bool\n        \"\"\"\n        if self.start == other.start:\n            return self.end > other.end\n        return self.start > other.start\n\n    def __eq__(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check two results are equal by using all class fields.\n\n        :param other: another RecognizerResult\n        :return: bool\n        \"\"\"\n        equal_type = self.entity_type == other.entity_type\n        equal_score = self.score == other.score\n        return self.equal_indices(other) and equal_type and equal_score\n\n    def __hash__(self):\n        \"\"\"\n        Hash the result data by using all class fields.\n\n        :return: int\n        \"\"\"\n        return hash(\n            f\"{str(self.start)} {str(self.end)} {str(self.score)} {self.entity_type}\"\n        )\n\n    def __str__(self) -> str:\n        \"\"\"Return a string representation of the instance.\"\"\"\n        return (\n            f\"type: {self.entity_type}, \"\n            f\"start: {self.start}, \"\n            f\"end: {self.end}, \"\n            f\"score: {self.score}\"\n        )\n\n    def has_conflict(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if two recognizer results are conflicted or not.\n\n        I have a conflict if:\n        1. My indices are the same as the other and my score is lower.\n        2. If my indices are contained in another.\n\n        :param other: RecognizerResult\n        :return:\n        \"\"\"\n        if self.equal_indices(other):\n            return self.score <= other.score\n        return other.contains(self)\n", "path": "presidio-analyzer/presidio_analyzer/recognizer_result.py"}], "after_files": [{"content": "import logging\nfrom typing import Dict\n\nfrom presidio_analyzer import AnalysisExplanation\n\n\nclass RecognizerResult:\n    \"\"\"\n    Recognizer Result represents the findings of the detected entity.\n\n    Result of a recognizer analyzing the text.\n\n    :param entity_type: the type of the entity\n    :param start: the start location of the detected entity\n    :param end: the end location of the detected entity\n    :param score: the score of the detection\n    :param analysis_explanation: contains the explanation of why this\n                                 entity was identified\n    \"\"\"\n\n    logger = logging.getLogger(\"presidio-analyzer\")\n\n    def __init__(\n        self,\n        entity_type: str,\n        start: int,\n        end: int,\n        score: float,\n        analysis_explanation: AnalysisExplanation = None,\n    ):\n\n        self.entity_type = entity_type\n        self.start = start\n        self.end = end\n        self.score = score\n        self.analysis_explanation = analysis_explanation\n\n    def append_analysis_explanation_text(self, text: str) -> None:\n        \"\"\"Add text to the analysis explanation.\"\"\"\n        if self.analysis_explanation:\n            self.analysis_explanation.append_textual_explanation_line(text)\n\n    def to_dict(self) -> Dict:\n        \"\"\"\n        Serialize self to dictionary.\n\n        :return: a dictionary\n        \"\"\"\n        return self.__dict__\n\n    @classmethod\n    def from_json(cls, data: Dict) -> \"RecognizerResult\":\n        \"\"\"\n        Create RecognizerResult from json.\n\n        :param data: e.g. {\n            \"start\": 24,\n            \"end\": 32,\n            \"score\": 0.8,\n            \"entity_type\": \"NAME\"\n        }\n        :return: RecognizerResult\n        \"\"\"\n        score = data.get(\"score\")\n        entity_type = data.get(\"entity_type\")\n        start = data.get(\"start\")\n        end = data.get(\"end\")\n        return cls(entity_type, start, end, score)\n\n    def __repr__(self) -> str:\n        \"\"\"Return a string representation of the instance.\"\"\"\n        return self.__str__()\n\n    def intersects(self, other: \"RecognizerResult\") -> int:\n        \"\"\"\n        Check if self intersects with a different RecognizerResult.\n\n        :return: If intersecting, returns the number of\n        intersecting characters.\n        If not, returns 0\n        \"\"\"\n        # if they do not overlap the intersection is 0\n        if self.end < other.start or other.end < self.start:\n            return 0\n\n        # otherwise the intersection is min(end) - max(start)\n        return min(self.end, other.end) - max(self.start, other.start)\n\n    def contained_in(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if self is contained in a different RecognizerResult.\n\n        :return: true if contained\n        \"\"\"\n        return self.start >= other.start and self.end <= other.end\n\n    def contains(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if one result is contained or equal to another result.\n\n        :param other: another RecognizerResult\n        :return: bool\n        \"\"\"\n        return self.start <= other.start and self.end >= other.end\n\n    def equal_indices(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if the indices are equal between two results.\n\n        :param other: another RecognizerResult\n        :return:\n        \"\"\"\n        return self.start == other.start and self.end == other.end\n\n    def __gt__(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if one result is greater by using the results indices in the text.\n\n        :param other: another RecognizerResult\n        :return: bool\n        \"\"\"\n        if self.start == other.start:\n            return self.end > other.end\n        return self.start > other.start\n\n    def __eq__(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check two results are equal by using all class fields.\n\n        :param other: another RecognizerResult\n        :return: bool\n        \"\"\"\n        equal_type = self.entity_type == other.entity_type\n        equal_score = self.score == other.score\n        return self.equal_indices(other) and equal_type and equal_score\n\n    def __hash__(self):\n        \"\"\"\n        Hash the result data by using all class fields.\n\n        :return: int\n        \"\"\"\n        return hash(\n            f\"{str(self.start)} {str(self.end)} {str(self.score)} {self.entity_type}\"\n        )\n\n    def __str__(self) -> str:\n        \"\"\"Return a string representation of the instance.\"\"\"\n        return (\n            f\"type: {self.entity_type}, \"\n            f\"start: {self.start}, \"\n            f\"end: {self.end}, \"\n            f\"score: {self.score}\"\n        )\n\n    def has_conflict(self, other: \"RecognizerResult\") -> bool:\n        \"\"\"\n        Check if two recognizer results are conflicted or not.\n\n        I have a conflict if:\n        1. My indices are the same as the other and my score is lower.\n        2. If my indices are contained in another.\n\n        :param other: RecognizerResult\n        :return:\n        \"\"\"\n        if self.equal_indices(other):\n            return self.score <= other.score\n        return other.contains(self)\n", "path": "presidio-analyzer/presidio_analyzer/recognizer_result.py"}]}