prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  show_dag (save) feature is not supporting any other orientation except 'LR'
  <!--
  
  Welcome to Apache Airflow!  For a smooth issue process, try to answer the following questions.
  Don't worry if they're not all applicable; just try to include what you can :-)
  
  If you need to include code snippets or logs, please put them in fenced code
  blocks.  If they're super-long, please use the details tag like
  <details><summary>super-long log</summary> lots of stuff </details>
  
  Please delete these comment blocks before submitting the issue.
  
  -->
  
  <!--
  
  IMPORTANT!!!
  
  PLEASE CHECK "SIMILAR TO X EXISTING ISSUES" OPTION IF VISIBLE
  NEXT TO "SUBMIT NEW ISSUE" BUTTON!!!
  
  PLEASE CHECK IF THIS ISSUE HAS BEEN REPORTED PREVIOUSLY USING SEARCH!!!
  
  Please complete the next sections or the issue will be closed.
  This questions are the first thing we need to know to understand the context.
  
  -->
  
  **Apache Airflow version**: master
  
  **What happened**: I have DAG in TB orientation and when I tried to save that DAG graph to png file, it is not honoring the orientation, it is taking in 'LR' orientation only.
  
  <!-- (please include exact error messages if you can) -->
  
  **What you expected to happen**: The graph in the png file should be similar to the orientation of the DAG.
  
  <!-- What do you think went wrong? -->
  
  **How to reproduce it**: Change the orientation of the DAG other than 'LR' and try to save the graph.
  <!---
  
  As minimally and precisely as possible. Keep in mind we do not have access to your cluster or dags.
  
  If you are using kubernetes, please attempt to recreate the issue using minikube or kind.
  
  ## Install minikube/kind
  
  - Minikube https://minikube.sigs.k8s.io/docs/start/
  - Kind https://kind.sigs.k8s.io/docs/user/quick-start/
  
  If this is a UI bug, please provide a screenshot of the bug or a link to a youtube video of the bug in action
  
  You can include images using the .md sytle of
  ![alt text](http://url/to/img.png)
  
  To record a screencast, mac users can use QuickTime and then create an unlisted youtube video with the resulting .mov file.
  
  --->
  
  
  
  </issue>
  <code>
  [start of airflow/utils/dot_renderer.py]
  1 #!/usr/bin/env python
  2 #
  3 # Licensed to the Apache Software Foundation (ASF) under one
  4 # or more contributor license agreements.  See the NOTICE file
  5 # distributed with this work for additional information
  6 # regarding copyright ownership.  The ASF licenses this file
  7 # to you under the Apache License, Version 2.0 (the
  8 # "License"); you may not use this file except in compliance
  9 # with the License.  You may obtain a copy of the License at
  10 #
  11 #   http://www.apache.org/licenses/LICENSE-2.0
  12 #
  13 # Unless required by applicable law or agreed to in writing,
  14 # software distributed under the License is distributed on an
  15 # "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
  16 # KIND, either express or implied.  See the License for the
  17 # specific language governing permissions and limitations
  18 # under the License.
  19 """
  20 Renderer DAG (tasks and dependencies) to the graphviz object.
  21 """
  22 from typing import List, Optional
  23 
  24 import graphviz
  25 
  26 from airflow.models import TaskInstance
  27 from airflow.models.dag import DAG
  28 from airflow.utils.state import State
  29 
  30 
  31 def _refine_color(color: str):
  32     """
  33     Converts color in #RGB (12 bits) format to #RRGGBB (32 bits), if it possible.
  34     Otherwise, it returns the original value. Graphviz does not support colors in #RGB format.
  35 
  36     :param color: Text representation of color
  37     :return: Refined representation of color
  38     """
  39     if len(color) == 4 and color[0] == "#":
  40         color_r = color[1]
  41         color_g = color[2]
  42         color_b = color[3]
  43         return "#" + color_r + color_r + color_g + color_g + color_b + color_b
  44     return color
  45 
  46 
  47 def render_dag(dag: DAG, tis: Optional[List[TaskInstance]] = None) -> graphviz.Digraph:
  48     """
  49     Renders the DAG object to the DOT object.
  50 
  51     If an task instance list is passed, the nodes will be painted according to task statuses.
  52 
  53     :param dag: DAG that will be rendered.
  54     :type dag: airflow.models.dag.DAG
  55     :param tis: List of task instances
  56     :type tis: Optional[List[TaskInstance]]
  57     :return: Graphviz object
  58     :rtype: graphviz.Digraph
  59     """
  60     dot = graphviz.Digraph(dag.dag_id, graph_attr={"rankdir": "LR", "labelloc": "t", "label": dag.dag_id})
  61     states_by_task_id = None
  62     if tis is not None:
  63         states_by_task_id = {ti.task_id: ti.state for ti in tis}
  64     for task in dag.tasks:
  65         node_attrs = {
  66             "shape": "rectangle",
  67             "style": "filled,rounded",
  68         }
  69         if states_by_task_id is None:
  70             node_attrs.update({
  71                 "color": _refine_color(task.ui_fgcolor),
  72                 "fillcolor": _refine_color(task.ui_color),
  73             })
  74         else:
  75             state = states_by_task_id.get(task.task_id, State.NONE)
  76             node_attrs.update({
  77                 "color": State.color_fg(state),
  78                 "fillcolor": State.color(state),
  79             })
  80         dot.node(
  81             task.task_id,
  82             _attributes=node_attrs,
  83         )
  84         for downstream_task_id in task.downstream_task_ids:
  85             dot.edge(task.task_id, downstream_task_id)
  86     return dot
  87
  [end of airflow/utils/dot_renderer.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/airflow/utils/dot_renderer.py b/airflow/utils/dot_renderer.py
  --- a/airflow/utils/dot_renderer.py
  +++ b/airflow/utils/dot_renderer.py
  @@ -57,7 +57,8 @@
       :return: Graphviz object
       :rtype: graphviz.Digraph
       """
  -    dot = graphviz.Digraph(dag.dag_id, graph_attr={"rankdir": "LR", "labelloc": "t", "label": dag.dag_id})
  +    dot = graphviz.Digraph(dag.dag_id, graph_attr={"rankdir": dag.orientation if dag.orientation else "LR",
  +                                                   "labelloc": "t", "label": dag.dag_id})
       states_by_task_id = None
       if tis is not None:
           states_by_task_id = {ti.task_id: ti.state for ti in tis}
  
verification_info: {"golden_diff": "diff --git a/airflow/utils/dot_renderer.py b/airflow/utils/dot_renderer.py\n--- a/airflow/utils/dot_renderer.py\n+++ b/airflow/utils/dot_renderer.py\n@@ -57,7 +57,8 @@\n     :return: Graphviz object\n     :rtype: graphviz.Digraph\n     \"\"\"\n-    dot = graphviz.Digraph(dag.dag_id, graph_attr={\"rankdir\": \"LR\", \"labelloc\": \"t\", \"label\": dag.dag_id})\n+    dot = graphviz.Digraph(dag.dag_id, graph_attr={\"rankdir\": dag.orientation if dag.orientation else \"LR\",\n+                                                   \"labelloc\": \"t\", \"label\": dag.dag_id})\n     states_by_task_id = None\n     if tis is not None:\n         states_by_task_id = {ti.task_id: ti.state for ti in tis}\n", "issue": "show_dag (save) feature is not supporting any other orientation except 'LR'\n<!--\r\n\r\nWelcome to Apache Airflow!  For a smooth issue process, try to answer the following questions.\r\nDon't worry if they're not all applicable; just try to include what you can :-)\r\n\r\nIf you need to include code snippets or logs, please put them in fenced code\r\nblocks.  If they're super-long, please use the details tag like\r\n<details><summary>super-long log</summary> lots of stuff </details>\r\n\r\nPlease delete these comment blocks before submitting the issue.\r\n\r\n-->\r\n\r\n<!--\r\n\r\nIMPORTANT!!!\r\n\r\nPLEASE CHECK \"SIMILAR TO X EXISTING ISSUES\" OPTION IF VISIBLE\r\nNEXT TO \"SUBMIT NEW ISSUE\" BUTTON!!!\r\n\r\nPLEASE CHECK IF THIS ISSUE HAS BEEN REPORTED PREVIOUSLY USING SEARCH!!!\r\n\r\nPlease complete the next sections or the issue will be closed.\r\nThis questions are the first thing we need to know to understand the context.\r\n\r\n-->\r\n\r\n**Apache Airflow version**: master\r\n\r\n**What happened**: I have DAG in TB orientation and when I tried to save that DAG graph to png file, it is not honoring the orientation, it is taking in 'LR' orientation only.\r\n\r\n<!-- (please include exact error messages if you can) -->\r\n\r\n**What you expected to happen**: The graph in the png file should be similar to the orientation of the DAG.\r\n\r\n<!-- What do you think went wrong? -->\r\n\r\n**How to reproduce it**: Change the orientation of the DAG other than 'LR' and try to save the graph.\r\n<!---\r\n\r\nAs minimally and precisely as possible. Keep in mind we do not have access to your cluster or dags.\r\n\r\nIf you are using kubernetes, please attempt to recreate the issue using minikube or kind.\r\n\r\n## Install minikube/kind\r\n\r\n- Minikube https://minikube.sigs.k8s.io/docs/start/\r\n- Kind https://kind.sigs.k8s.io/docs/user/quick-start/\r\n\r\nIf this is a UI bug, please provide a screenshot of the bug or a link to a youtube video of the bug in action\r\n\r\nYou can include images using the .md sytle of\r\n![alt text](http://url/to/img.png)\r\n\r\nTo record a screencast, mac users can use QuickTime and then create an unlisted youtube video with the resulting .mov file.\r\n\r\n--->\r\n\r\n\n", "before_files": [{"content": "#!/usr/bin/env python\n#\n# Licensed to the Apache Software Foundation (ASF) under one\n# or more contributor license agreements.  See the NOTICE file\n# distributed with this work for additional information\n# regarding copyright ownership.  The ASF licenses this file\n# to you under the Apache License, Version 2.0 (the\n# \"License\"); you may not use this file except in compliance\n# with the License.  You may obtain a copy of the License at\n#\n#   http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable law or agreed to in writing,\n# software distributed under the License is distributed on an\n# \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY\n# KIND, either express or implied.  See the License for the\n# specific language governing permissions and limitations\n# under the License.\n\"\"\"\nRenderer DAG (tasks and dependencies) to the graphviz object.\n\"\"\"\nfrom typing import List, Optional\n\nimport graphviz\n\nfrom airflow.models import TaskInstance\nfrom airflow.models.dag import DAG\nfrom airflow.utils.state import State\n\n\ndef _refine_color(color: str):\n    \"\"\"\n    Converts color in #RGB (12 bits) format to #RRGGBB (32 bits), if it possible.\n    Otherwise, it returns the original value. Graphviz does not support colors in #RGB format.\n\n    :param color: Text representation of color\n    :return: Refined representation of color\n    \"\"\"\n    if len(color) == 4 and color[0] == \"#\":\n        color_r = color[1]\n        color_g = color[2]\n        color_b = color[3]\n        return \"#\" + color_r + color_r + color_g + color_g + color_b + color_b\n    return color\n\n\ndef render_dag(dag: DAG, tis: Optional[List[TaskInstance]] = None) -> graphviz.Digraph:\n    \"\"\"\n    Renders the DAG object to the DOT object.\n\n    If an task instance list is passed, the nodes will be painted according to task statuses.\n\n    :param dag: DAG that will be rendered.\n    :type dag: airflow.models.dag.DAG\n    :param tis: List of task instances\n    :type tis: Optional[List[TaskInstance]]\n    :return: Graphviz object\n    :rtype: graphviz.Digraph\n    \"\"\"\n    dot = graphviz.Digraph(dag.dag_id, graph_attr={\"rankdir\": \"LR\", \"labelloc\": \"t\", \"label\": dag.dag_id})\n    states_by_task_id = None\n    if tis is not None:\n        states_by_task_id = {ti.task_id: ti.state for ti in tis}\n    for task in dag.tasks:\n        node_attrs = {\n            \"shape\": \"rectangle\",\n            \"style\": \"filled,rounded\",\n        }\n        if states_by_task_id is None:\n            node_attrs.update({\n                \"color\": _refine_color(task.ui_fgcolor),\n                \"fillcolor\": _refine_color(task.ui_color),\n            })\n        else:\n            state = states_by_task_id.get(task.task_id, State.NONE)\n            node_attrs.update({\n                \"color\": State.color_fg(state),\n                \"fillcolor\": State.color(state),\n            })\n        dot.node(\n            task.task_id,\n            _attributes=node_attrs,\n        )\n        for downstream_task_id in task.downstream_task_ids:\n            dot.edge(task.task_id, downstream_task_id)\n    return dot\n", "path": "airflow/utils/dot_renderer.py"}]}