prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Handle NoneType comparison in _scores_to_ranks
  ```
  TypeError: '<' not supported between instances of 'NoneType' and 'float'
  ```
  
  </issue>
  <code>
  [start of app/grandchallenge/evaluation/utils.py]
  1 from collections import OrderedDict
  2 from typing import Tuple, NamedTuple, List, Callable, Iterable, Dict
  3 
  4 from grandchallenge.evaluation.models import Result
  5 from grandchallenge.evaluation.templatetags.evaluation_extras import (
  6     get_jsonpath
  7 )
  8 
  9 
  10 class Metric(NamedTuple):
  11     path: str
  12     reverse: bool
  13 
  14 
  15 class Positions(NamedTuple):
  16     ranks: Dict[str, float]
  17     rank_scores: Dict[str, float]
  18     rank_per_metric: Dict[str, Dict[str, float]]
  19 
  20 
  21 def rank_results(
  22     *,
  23     results: Tuple[Result, ...],
  24     metrics: Tuple[Metric, ...],
  25     score_method: Callable,
  26 ) -> Positions:
  27     """
  28     Calculates the overall rank for each result, along with the rank_score
  29     and the rank per metric.
  30     """
  31 
  32     results = _filter_valid_results(results=results, metrics=metrics)
  33 
  34     rank_per_metric = _get_rank_per_metric(results=results, metrics=metrics)
  35 
  36     rank_scores = {
  37         pk: score_method([m for m in metrics.values()])
  38         for pk, metrics in rank_per_metric.items()
  39     }
  40 
  41     return Positions(
  42         ranks=_scores_to_ranks(scores=rank_scores, reverse=False),
  43         rank_scores=rank_scores,
  44         rank_per_metric=rank_per_metric,
  45     )
  46 
  47 
  48 def _filter_valid_results(
  49     *, results: Iterable[Result], metrics: Tuple[Metric, ...]
  50 ) -> List[Result]:
  51     """ Ensure that all of the metrics are in every result """
  52     return [
  53         res
  54         for res in results
  55         if all(get_jsonpath(res.metrics, m.path) != "" for m in metrics)
  56     ]
  57 
  58 
  59 def _get_rank_per_metric(
  60     *, results: Iterable[Result], metrics: Tuple[Metric, ...]
  61 ) -> Dict[str, Dict[str, float]]:
  62     """
  63     Takes results and calculates the rank for each of the individual metrics
  64 
  65     Returns a dictionary where the key is the pk of the result, and the
  66     values is another dictionary where the key is the path of the metric and
  67     the value is the rank of this result for this metric
  68     """
  69     metric_rank = {}
  70     for metric in metrics:
  71         # Extract the value of the metric for this primary key and sort on the
  72         # value of the metric
  73         metric_scores = {
  74             res.pk: get_jsonpath(res.metrics, metric.path) for res in results
  75         }
  76         metric_rank[metric.path] = _scores_to_ranks(
  77             scores=metric_scores, reverse=metric.reverse
  78         )
  79 
  80     return {
  81         res.pk: {
  82             metric_path: ranks[res.pk]
  83             for metric_path, ranks in metric_rank.items()
  84         }
  85         for res in results
  86     }
  87 
  88 
  89 def _scores_to_ranks(
  90     *, scores: Dict, reverse: bool = False
  91 ) -> Dict[str, float]:
  92     """
  93     Go from a score (a scalar) to a rank (integer). If two scalars are the
  94     same then they will have the same rank.
  95 
  96     Takes a dictionary where the keys are the pk of the results and the values
  97     are the scores.
  98 
  99     Outputs a dictionary where they keys are the pk of the results and the
  100     values are the ranks.
  101     """
  102     scores = OrderedDict(
  103         sorted(scores.items(), key=lambda t: t[1], reverse=reverse)
  104     )
  105 
  106     ranks = {}
  107     current_score = current_rank = None
  108 
  109     for idx, (pk, score) in enumerate(scores.items()):
  110         if score != current_score:
  111             current_score = score
  112             current_rank = idx + 1
  113 
  114         ranks[pk] = current_rank
  115 
  116     return ranks
  117
  [end of app/grandchallenge/evaluation/utils.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/evaluation/utils.py b/app/grandchallenge/evaluation/utils.py
  --- a/app/grandchallenge/evaluation/utils.py
  +++ b/app/grandchallenge/evaluation/utils.py
  @@ -52,7 +52,10 @@
       return [
           res
           for res in results
  -        if all(get_jsonpath(res.metrics, m.path) != "" for m in metrics)
  +        if all(
  +            get_jsonpath(res.metrics, m.path) not in ["", None]
  +            for m in metrics
  +        )
       ]
  
verification_info: {"golden_diff": "diff --git a/app/grandchallenge/evaluation/utils.py b/app/grandchallenge/evaluation/utils.py\n--- a/app/grandchallenge/evaluation/utils.py\n+++ b/app/grandchallenge/evaluation/utils.py\n@@ -52,7 +52,10 @@\n     return [\n         res\n         for res in results\n-        if all(get_jsonpath(res.metrics, m.path) != \"\" for m in metrics)\n+        if all(\n+            get_jsonpath(res.metrics, m.path) not in [\"\", None]\n+            for m in metrics\n+        )\n     ]\n", "issue": "Handle NoneType comparison in _scores_to_ranks\n```\r\nTypeError: '<' not supported between instances of 'NoneType' and 'float'\r\n```\n", "before_files": [{"content": "from collections import OrderedDict\nfrom typing import Tuple, NamedTuple, List, Callable, Iterable, Dict\n\nfrom grandchallenge.evaluation.models import Result\nfrom grandchallenge.evaluation.templatetags.evaluation_extras import (\n    get_jsonpath\n)\n\n\nclass Metric(NamedTuple):\n    path: str\n    reverse: bool\n\n\nclass Positions(NamedTuple):\n    ranks: Dict[str, float]\n    rank_scores: Dict[str, float]\n    rank_per_metric: Dict[str, Dict[str, float]]\n\n\ndef rank_results(\n    *,\n    results: Tuple[Result, ...],\n    metrics: Tuple[Metric, ...],\n    score_method: Callable,\n) -> Positions:\n    \"\"\"\n    Calculates the overall rank for each result, along with the rank_score\n    and the rank per metric.\n    \"\"\"\n\n    results = _filter_valid_results(results=results, metrics=metrics)\n\n    rank_per_metric = _get_rank_per_metric(results=results, metrics=metrics)\n\n    rank_scores = {\n        pk: score_method([m for m in metrics.values()])\n        for pk, metrics in rank_per_metric.items()\n    }\n\n    return Positions(\n        ranks=_scores_to_ranks(scores=rank_scores, reverse=False),\n        rank_scores=rank_scores,\n        rank_per_metric=rank_per_metric,\n    )\n\n\ndef _filter_valid_results(\n    *, results: Iterable[Result], metrics: Tuple[Metric, ...]\n) -> List[Result]:\n    \"\"\" Ensure that all of the metrics are in every result \"\"\"\n    return [\n        res\n        for res in results\n        if all(get_jsonpath(res.metrics, m.path) != \"\" for m in metrics)\n    ]\n\n\ndef _get_rank_per_metric(\n    *, results: Iterable[Result], metrics: Tuple[Metric, ...]\n) -> Dict[str, Dict[str, float]]:\n    \"\"\"\n    Takes results and calculates the rank for each of the individual metrics\n\n    Returns a dictionary where the key is the pk of the result, and the\n    values is another dictionary where the key is the path of the metric and\n    the value is the rank of this result for this metric\n    \"\"\"\n    metric_rank = {}\n    for metric in metrics:\n        # Extract the value of the metric for this primary key and sort on the\n        # value of the metric\n        metric_scores = {\n            res.pk: get_jsonpath(res.metrics, metric.path) for res in results\n        }\n        metric_rank[metric.path] = _scores_to_ranks(\n            scores=metric_scores, reverse=metric.reverse\n        )\n\n    return {\n        res.pk: {\n            metric_path: ranks[res.pk]\n            for metric_path, ranks in metric_rank.items()\n        }\n        for res in results\n    }\n\n\ndef _scores_to_ranks(\n    *, scores: Dict, reverse: bool = False\n) -> Dict[str, float]:\n    \"\"\"\n    Go from a score (a scalar) to a rank (integer). If two scalars are the\n    same then they will have the same rank.\n\n    Takes a dictionary where the keys are the pk of the results and the values\n    are the scores.\n\n    Outputs a dictionary where they keys are the pk of the results and the\n    values are the ranks.\n    \"\"\"\n    scores = OrderedDict(\n        sorted(scores.items(), key=lambda t: t[1], reverse=reverse)\n    )\n\n    ranks = {}\n    current_score = current_rank = None\n\n    for idx, (pk, score) in enumerate(scores.items()):\n        if score != current_score:\n            current_score = score\n            current_rank = idx + 1\n\n        ranks[pk] = current_rank\n\n    return ranks\n", "path": "app/grandchallenge/evaluation/utils.py"}]}