prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  AttributeError: 'dict' object has no attribute 'force_set'
  **Bug description**
  When I try the pretrained model of Self-feeding Chatbot, by `python projects/self_feeding/interactive.py --model-file zoo:self_feeding/hh131k_hb60k_fb60k_st1k/model --no-cuda`, error occurs: AttributeError: 'dict' object has no attribute 'force_set'
  
  **Logs**
  Please paste the command line output:
  
  ```
  Enter Your Message: hello
  Traceback (most recent call last):
    File "projects/self_feeding/interactive.py", line 87, in <module>
      interactive(parser.parse_args(print_args=False), print_parser=parser)
    File "projects/self_feeding/interactive.py", line 78, in interactive
      world.parley()
    File "/home/han/Github/ParlAI/parlai/core/worlds.py", line 273, in parley
      agents[1].observe(validate(acts[0]))
    File "/home/han/Github/ParlAI/projects/self_feeding/self_feeding_agent.py", line 370, in observe
      observation.force_set(
  AttributeError: 'dict' object has no attribute 'force_set'
  ```
  
  **Additional context**
  Add any other context about the problem here. (like proxy settings, network setup, overall goals, etc.)
  
  
  </issue>
  <code>
  [start of parlai/agents/local_human/local_human.py]
  1 #!/usr/bin/env python3
  2 
  3 # Copyright (c) Facebook, Inc. and its affiliates.
  4 # This source code is licensed under the MIT license found in the
  5 # LICENSE file in the root directory of this source tree.
  6 """Agent does gets the local keyboard input in the act() function.
  7    Example: python examples/eval_model.py -m local_human -t babi:Task1k:1 -dt valid
  8 """
  9 
  10 from parlai.core.agents import Agent
  11 from parlai.core.utils import display_messages, load_cands
  12 
  13 
  14 class LocalHumanAgent(Agent):
  15     def add_cmdline_args(argparser):
  16         """Add command-line arguments specifically for this agent."""
  17         agent = argparser.add_argument_group('Local Human Arguments')
  18         agent.add_argument(
  19             '-fixedCands',
  20             '--local-human-candidates-file',
  21             default=None,
  22             type=str,
  23             help='File of label_candidates to send to other agent',
  24         )
  25         agent.add_argument(
  26             '--single_turn',
  27             type='bool',
  28             default=False,
  29             help='If on, assumes single turn episodes.',
  30         )
  31 
  32     def __init__(self, opt, shared=None):
  33         super().__init__(opt)
  34         self.id = 'localHuman'
  35         self.episodeDone = False
  36         self.fixedCands_txt = load_cands(self.opt.get('local_human_candidates_file'))
  37         print("Enter [DONE] if you want to end the episode.\n")
  38 
  39     def observe(self, msg):
  40         print(
  41             display_messages(
  42                 [msg],
  43                 ignore_fields=self.opt.get('display_ignore_fields', ''),
  44                 prettify=self.opt.get('display_prettify', False),
  45             )
  46         )
  47 
  48     def act(self):
  49         reply = {}
  50         reply['id'] = self.getID()
  51         reply_text = input("Enter Your Message: ")
  52         reply_text = reply_text.replace('\\n', '\n')
  53         if self.opt.get('single_turn', False):
  54             reply_text += '[DONE]'
  55         reply['episode_done'] = False
  56         reply['label_candidates'] = self.fixedCands_txt
  57         if '[DONE]' in reply_text:
  58             reply['episode_done'] = True
  59             self.episodeDone = True
  60             reply_text = reply_text.replace('[DONE]', '')
  61         reply['text'] = reply_text
  62         return reply
  63 
  64     def episode_done(self):
  65         return self.episodeDone
  66
  [end of parlai/agents/local_human/local_human.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/parlai/agents/local_human/local_human.py b/parlai/agents/local_human/local_human.py
  --- a/parlai/agents/local_human/local_human.py
  +++ b/parlai/agents/local_human/local_human.py
  @@ -8,6 +8,7 @@
   """
   
   from parlai.core.agents import Agent
  +from parlai.core.message import Message
   from parlai.core.utils import display_messages, load_cands
   
   
  @@ -46,7 +47,7 @@
           )
   
       def act(self):
  -        reply = {}
  +        reply = Message()
           reply['id'] = self.getID()
           reply_text = input("Enter Your Message: ")
           reply_text = reply_text.replace('\\n', '\n')
  @@ -55,7 +56,7 @@
           reply['episode_done'] = False
           reply['label_candidates'] = self.fixedCands_txt
           if '[DONE]' in reply_text:
  -            reply['episode_done'] = True
  +            reply.force_set('episode_done', True)
               self.episodeDone = True
               reply_text = reply_text.replace('[DONE]', '')
           reply['text'] = reply_text
  
verification_info: {"golden_diff": "diff --git a/parlai/agents/local_human/local_human.py b/parlai/agents/local_human/local_human.py\n--- a/parlai/agents/local_human/local_human.py\n+++ b/parlai/agents/local_human/local_human.py\n@@ -8,6 +8,7 @@\n \"\"\"\n \n from parlai.core.agents import Agent\n+from parlai.core.message import Message\n from parlai.core.utils import display_messages, load_cands\n \n \n@@ -46,7 +47,7 @@\n         )\n \n     def act(self):\n-        reply = {}\n+        reply = Message()\n         reply['id'] = self.getID()\n         reply_text = input(\"Enter Your Message: \")\n         reply_text = reply_text.replace('\\\\n', '\\n')\n@@ -55,7 +56,7 @@\n         reply['episode_done'] = False\n         reply['label_candidates'] = self.fixedCands_txt\n         if '[DONE]' in reply_text:\n-            reply['episode_done'] = True\n+            reply.force_set('episode_done', True)\n             self.episodeDone = True\n             reply_text = reply_text.replace('[DONE]', '')\n         reply['text'] = reply_text\n", "issue": "AttributeError: 'dict' object has no attribute 'force_set'\n**Bug description**\r\nWhen I try the pretrained model of Self-feeding Chatbot, by `python projects/self_feeding/interactive.py --model-file zoo:self_feeding/hh131k_hb60k_fb60k_st1k/model --no-cuda`, error occurs: AttributeError: 'dict' object has no attribute 'force_set'\r\n\r\n**Logs**\r\nPlease paste the command line output:\r\n\r\n```\r\nEnter Your Message: hello\r\nTraceback (most recent call last):\r\n  File \"projects/self_feeding/interactive.py\", line 87, in <module>\r\n    interactive(parser.parse_args(print_args=False), print_parser=parser)\r\n  File \"projects/self_feeding/interactive.py\", line 78, in interactive\r\n    world.parley()\r\n  File \"/home/han/Github/ParlAI/parlai/core/worlds.py\", line 273, in parley\r\n    agents[1].observe(validate(acts[0]))\r\n  File \"/home/han/Github/ParlAI/projects/self_feeding/self_feeding_agent.py\", line 370, in observe\r\n    observation.force_set(\r\nAttributeError: 'dict' object has no attribute 'force_set'\r\n```\r\n\r\n**Additional context**\r\nAdd any other context about the problem here. (like proxy settings, network setup, overall goals, etc.)\r\n\n", "before_files": [{"content": "#!/usr/bin/env python3\n\n# Copyright (c) Facebook, Inc. and its affiliates.\n# This source code is licensed under the MIT license found in the\n# LICENSE file in the root directory of this source tree.\n\"\"\"Agent does gets the local keyboard input in the act() function.\n   Example: python examples/eval_model.py -m local_human -t babi:Task1k:1 -dt valid\n\"\"\"\n\nfrom parlai.core.agents import Agent\nfrom parlai.core.utils import display_messages, load_cands\n\n\nclass LocalHumanAgent(Agent):\n    def add_cmdline_args(argparser):\n        \"\"\"Add command-line arguments specifically for this agent.\"\"\"\n        agent = argparser.add_argument_group('Local Human Arguments')\n        agent.add_argument(\n            '-fixedCands',\n            '--local-human-candidates-file',\n            default=None,\n            type=str,\n            help='File of label_candidates to send to other agent',\n        )\n        agent.add_argument(\n            '--single_turn',\n            type='bool',\n            default=False,\n            help='If on, assumes single turn episodes.',\n        )\n\n    def __init__(self, opt, shared=None):\n        super().__init__(opt)\n        self.id = 'localHuman'\n        self.episodeDone = False\n        self.fixedCands_txt = load_cands(self.opt.get('local_human_candidates_file'))\n        print(\"Enter [DONE] if you want to end the episode.\\n\")\n\n    def observe(self, msg):\n        print(\n            display_messages(\n                [msg],\n                ignore_fields=self.opt.get('display_ignore_fields', ''),\n                prettify=self.opt.get('display_prettify', False),\n            )\n        )\n\n    def act(self):\n        reply = {}\n        reply['id'] = self.getID()\n        reply_text = input(\"Enter Your Message: \")\n        reply_text = reply_text.replace('\\\\n', '\\n')\n        if self.opt.get('single_turn', False):\n            reply_text += '[DONE]'\n        reply['episode_done'] = False\n        reply['label_candidates'] = self.fixedCands_txt\n        if '[DONE]' in reply_text:\n            reply['episode_done'] = True\n            self.episodeDone = True\n            reply_text = reply_text.replace('[DONE]', '')\n        reply['text'] = reply_text\n        return reply\n\n    def episode_done(self):\n        return self.episodeDone\n", "path": "parlai/agents/local_human/local_human.py"}]}