prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Create a simple interface for fetching datatypes schemas on grand-challenge 
  **Problem**
  The grand-challenge datatypes are currently only stored in the [gc-api](https://github.com/DIAGNijmegen/rse-gcapi/tree/master/gcapi/schemas) repository. However, the information is required by other libraries as well. Duplication of this information seems bad.
  
  **Solution**
  * [x] It would be nice to have this information in a central location like grand-challenge and provide a simple GET interface to allow the libraries /comic/evalutils and /DIAGNijmegen/rse-gcapi/ to fetch and cache this information (only a few kbs) from grand-challenge.
  * [x] The answer type schemas should be added to the generated schema
  
  
  </issue>
  <code>
  [start of app/grandchallenge/reader_studies/serializers.py]
  1 from rest_framework.exceptions import ValidationError
  2 from rest_framework.fields import CharField
  3 from rest_framework.relations import HyperlinkedRelatedField, SlugRelatedField
  4 from rest_framework.serializers import (
  5     HyperlinkedModelSerializer,
  6     SerializerMethodField,
  7 )
  8 
  9 from grandchallenge.api.swagger import swagger_schema_fields_for_charfield
  10 from grandchallenge.cases.models import Image
  11 from grandchallenge.reader_studies.models import Answer, Question, ReaderStudy
  12 
  13 
  14 class QuestionSerializer(HyperlinkedModelSerializer):
  15     answer_type = CharField(source="get_answer_type_display")
  16     reader_study = HyperlinkedRelatedField(
  17         view_name="api:reader-study-detail", read_only=True
  18     )
  19     form_direction = CharField(source="get_direction_display")
  20     image_port = CharField(source="get_image_port_display")
  21 
  22     class Meta:
  23         model = Question
  24         fields = (
  25             "answer_type",
  26             "api_url",
  27             "form_direction",
  28             "help_text",
  29             "image_port",
  30             "pk",
  31             "question_text",
  32             "reader_study",
  33             "required",
  34         )
  35         swagger_schema_fields = swagger_schema_fields_for_charfield(
  36             answer_type=model._meta.get_field("answer_type"),
  37             form_direction=model._meta.get_field(
  38                 "direction"
  39             ),  # model.direction gets remapped
  40             image_port=model._meta.get_field("image_port"),
  41         )
  42 
  43 
  44 class ReaderStudySerializer(HyperlinkedModelSerializer):
  45     questions = QuestionSerializer(many=True, read_only=True)
  46     hanging_list_images = SerializerMethodField()
  47 
  48     class Meta:
  49         model = ReaderStudy
  50         fields = (
  51             "api_url",
  52             "description",
  53             "hanging_list_images",
  54             "is_valid",
  55             "pk",
  56             "questions",
  57             "title",
  58         )
  59 
  60     def get_hanging_list_images(self, obj: ReaderStudy):
  61         """Used by hanging_list_images serializer field."""
  62         return obj.get_hanging_list_images_for_user(
  63             user=self.context["request"].user
  64         )
  65 
  66 
  67 class AnswerSerializer(HyperlinkedModelSerializer):
  68     creator = SlugRelatedField(read_only=True, slug_field="username")
  69     question = HyperlinkedRelatedField(
  70         view_name="api:reader-studies-question-detail",
  71         queryset=Question.objects.all(),
  72     )
  73     images = HyperlinkedRelatedField(
  74         many=True, queryset=Image.objects.all(), view_name="api:image-detail"
  75     )
  76 
  77     def validate(self, attrs):
  78         question = attrs["question"]
  79         images = attrs["images"]
  80         answer = attrs["answer"]
  81         creator = self.context.get("request").user
  82 
  83         if not question.reader_study.is_reader(user=creator):
  84             raise ValidationError("This user is not a reader for this study.")
  85 
  86         if not question.is_answer_valid(answer=answer):
  87             raise ValidationError(
  88                 f"You answer is not the correct type. "
  89                 f"{question.get_answer_type_display()} expected, "
  90                 f"{type(answer)} found."
  91             )
  92 
  93         if len(images) == 0:
  94             raise ValidationError(
  95                 "You must specify the images that this answer corresponds to."
  96             )
  97 
  98         reader_study_images = question.reader_study.images.all()
  99         for im in images:
  100             if im not in reader_study_images:
  101                 raise ValidationError(
  102                     f"Image {im} does not belong to this reader study."
  103                 )
  104 
  105         if Answer.objects.filter(
  106             creator=creator, question=question, images__in=images
  107         ).exists():
  108             raise ValidationError(
  109                 f"User {creator} has already answered this question "
  110                 f"for at least 1 of these images."
  111             )
  112 
  113         return attrs
  114 
  115     class Meta:
  116         model = Answer
  117         fields = (
  118             "answer",
  119             "api_url",
  120             "created",
  121             "creator",
  122             "images",
  123             "pk",
  124             "question",
  125         )
  126
  [end of app/grandchallenge/reader_studies/serializers.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/app/grandchallenge/reader_studies/serializers.py b/app/grandchallenge/reader_studies/serializers.py
  --- a/app/grandchallenge/reader_studies/serializers.py
  +++ b/app/grandchallenge/reader_studies/serializers.py
  @@ -8,7 +8,12 @@
   
   from grandchallenge.api.swagger import swagger_schema_fields_for_charfield
   from grandchallenge.cases.models import Image
  -from grandchallenge.reader_studies.models import Answer, Question, ReaderStudy
  +from grandchallenge.reader_studies.models import (
  +    ANSWER_TYPE_SCHEMA,
  +    Answer,
  +    Question,
  +    ReaderStudy,
  +)
   
   
   class QuestionSerializer(HyperlinkedModelSerializer):
  @@ -123,3 +128,6 @@
               "pk",
               "question",
           )
  +        swagger_schema_fields = {
  +            "properties": {"answer": {"title": "Answer", **ANSWER_TYPE_SCHEMA}}
  +        }
  
verification_info: {"golden_diff": "diff --git a/app/grandchallenge/reader_studies/serializers.py b/app/grandchallenge/reader_studies/serializers.py\n--- a/app/grandchallenge/reader_studies/serializers.py\n+++ b/app/grandchallenge/reader_studies/serializers.py\n@@ -8,7 +8,12 @@\n \n from grandchallenge.api.swagger import swagger_schema_fields_for_charfield\n from grandchallenge.cases.models import Image\n-from grandchallenge.reader_studies.models import Answer, Question, ReaderStudy\n+from grandchallenge.reader_studies.models import (\n+    ANSWER_TYPE_SCHEMA,\n+    Answer,\n+    Question,\n+    ReaderStudy,\n+)\n \n \n class QuestionSerializer(HyperlinkedModelSerializer):\n@@ -123,3 +128,6 @@\n             \"pk\",\n             \"question\",\n         )\n+        swagger_schema_fields = {\n+            \"properties\": {\"answer\": {\"title\": \"Answer\", **ANSWER_TYPE_SCHEMA}}\n+        }\n", "issue": "Create a simple interface for fetching datatypes schemas on grand-challenge \n**Problem**\r\nThe grand-challenge datatypes are currently only stored in the [gc-api](https://github.com/DIAGNijmegen/rse-gcapi/tree/master/gcapi/schemas) repository. However, the information is required by other libraries as well. Duplication of this information seems bad.\r\n\r\n**Solution**\r\n* [x] It would be nice to have this information in a central location like grand-challenge and provide a simple GET interface to allow the libraries /comic/evalutils and /DIAGNijmegen/rse-gcapi/ to fetch and cache this information (only a few kbs) from grand-challenge.\r\n* [x] The answer type schemas should be added to the generated schema\r\n\n", "before_files": [{"content": "from rest_framework.exceptions import ValidationError\nfrom rest_framework.fields import CharField\nfrom rest_framework.relations import HyperlinkedRelatedField, SlugRelatedField\nfrom rest_framework.serializers import (\n    HyperlinkedModelSerializer,\n    SerializerMethodField,\n)\n\nfrom grandchallenge.api.swagger import swagger_schema_fields_for_charfield\nfrom grandchallenge.cases.models import Image\nfrom grandchallenge.reader_studies.models import Answer, Question, ReaderStudy\n\n\nclass QuestionSerializer(HyperlinkedModelSerializer):\n    answer_type = CharField(source=\"get_answer_type_display\")\n    reader_study = HyperlinkedRelatedField(\n        view_name=\"api:reader-study-detail\", read_only=True\n    )\n    form_direction = CharField(source=\"get_direction_display\")\n    image_port = CharField(source=\"get_image_port_display\")\n\n    class Meta:\n        model = Question\n        fields = (\n            \"answer_type\",\n            \"api_url\",\n            \"form_direction\",\n            \"help_text\",\n            \"image_port\",\n            \"pk\",\n            \"question_text\",\n            \"reader_study\",\n            \"required\",\n        )\n        swagger_schema_fields = swagger_schema_fields_for_charfield(\n            answer_type=model._meta.get_field(\"answer_type\"),\n            form_direction=model._meta.get_field(\n                \"direction\"\n            ),  # model.direction gets remapped\n            image_port=model._meta.get_field(\"image_port\"),\n        )\n\n\nclass ReaderStudySerializer(HyperlinkedModelSerializer):\n    questions = QuestionSerializer(many=True, read_only=True)\n    hanging_list_images = SerializerMethodField()\n\n    class Meta:\n        model = ReaderStudy\n        fields = (\n            \"api_url\",\n            \"description\",\n            \"hanging_list_images\",\n            \"is_valid\",\n            \"pk\",\n            \"questions\",\n            \"title\",\n        )\n\n    def get_hanging_list_images(self, obj: ReaderStudy):\n        \"\"\"Used by hanging_list_images serializer field.\"\"\"\n        return obj.get_hanging_list_images_for_user(\n            user=self.context[\"request\"].user\n        )\n\n\nclass AnswerSerializer(HyperlinkedModelSerializer):\n    creator = SlugRelatedField(read_only=True, slug_field=\"username\")\n    question = HyperlinkedRelatedField(\n        view_name=\"api:reader-studies-question-detail\",\n        queryset=Question.objects.all(),\n    )\n    images = HyperlinkedRelatedField(\n        many=True, queryset=Image.objects.all(), view_name=\"api:image-detail\"\n    )\n\n    def validate(self, attrs):\n        question = attrs[\"question\"]\n        images = attrs[\"images\"]\n        answer = attrs[\"answer\"]\n        creator = self.context.get(\"request\").user\n\n        if not question.reader_study.is_reader(user=creator):\n            raise ValidationError(\"This user is not a reader for this study.\")\n\n        if not question.is_answer_valid(answer=answer):\n            raise ValidationError(\n                f\"You answer is not the correct type. \"\n                f\"{question.get_answer_type_display()} expected, \"\n                f\"{type(answer)} found.\"\n            )\n\n        if len(images) == 0:\n            raise ValidationError(\n                \"You must specify the images that this answer corresponds to.\"\n            )\n\n        reader_study_images = question.reader_study.images.all()\n        for im in images:\n            if im not in reader_study_images:\n                raise ValidationError(\n                    f\"Image {im} does not belong to this reader study.\"\n                )\n\n        if Answer.objects.filter(\n            creator=creator, question=question, images__in=images\n        ).exists():\n            raise ValidationError(\n                f\"User {creator} has already answered this question \"\n                f\"for at least 1 of these images.\"\n            )\n\n        return attrs\n\n    class Meta:\n        model = Answer\n        fields = (\n            \"answer\",\n            \"api_url\",\n            \"created\",\n            \"creator\",\n            \"images\",\n            \"pk\",\n            \"question\",\n        )\n", "path": "app/grandchallenge/reader_studies/serializers.py"}]}