prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  Instructions at https://parl.ai yield: Parse Error: unrecognized arguments: -n 100
  From the examples section at https://parl.ai/, when running:
  
  ```bash
  python examples/display_data.py -t babi:task1k:1,squad -n 100
  ```
  
  I get the error:
  ```
  Parse Error: unrecognized arguments: -n 100
  ```
  
  </issue>
  <code>
  [start of parlai/scripts/display_model.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 """Basic example which iterates through the tasks specified and runs the given
  7 model on them.
  8 
  9 Examples
  10 --------
  11 
  12 .. code-block:: shell
  13 
  14   python examples/display_model.py -t babi:task1k:1 -m "repeat_label"
  15   python examples/display_model.py -t "#MovieDD-Reddit" -m "ir_baseline" -mp "-lp 0.5" -dt test
  16 """  # noqa: E501
  17 
  18 from parlai.core.params import ParlaiParser
  19 from parlai.core.agents import create_agent
  20 from parlai.core.worlds import create_task
  21 
  22 import random
  23 
  24 
  25 def setup_args():
  26     parser = ParlaiParser(True, True, 'Display model predictions.')
  27     parser.add_argument('-n', '--num-examples', default=10)
  28     parser.add_argument('--display-ignore-fields', type=str, default='')
  29     # by default we want to display info about the validation set
  30     parser.set_defaults(datatype='valid')
  31     return parser
  32 
  33 
  34 def display_model(opt):
  35     random.seed(42)
  36 
  37     # Create model and assign it to the specified task
  38     agent = create_agent(opt)
  39     world = create_task(opt, agent)
  40 
  41     # Show some example dialogs.
  42     with world:
  43         for _k in range(int(opt['num_examples'])):
  44             world.parley()
  45             print(world.display() + "\n~~")
  46             if world.epoch_done():
  47                 print("EPOCH DONE")
  48                 break
  49 
  50 
  51 if __name__ == '__main__':
  52     # Get command line arguments
  53     parser = setup_args()
  54     opt = parser.parse_args()
  55     display_model(opt)
  56
  [end of parlai/scripts/display_model.py]
  [start of parlai/scripts/display_data.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 """Basic example which iterates through the tasks specified and prints them out.
  7 Used for verification of data loading and iteration.
  8 
  9 For example, to make sure that bAbI task 1 (1k exs) loads one can run and to
  10 see a few of them:
  11 
  12 Examples
  13 --------
  14 
  15 .. code-block:: shell
  16 
  17   python display_data.py -t babi:task1k:1
  18 """
  19 
  20 from parlai.core.params import ParlaiParser
  21 from parlai.agents.repeat_label.repeat_label import RepeatLabelAgent
  22 from parlai.core.worlds import create_task
  23 
  24 import random
  25 
  26 
  27 def setup_args(parser=None):
  28     if parser is None:
  29         parser = ParlaiParser(True, True, 'Display data from a task')
  30     parser.add_pytorch_datateacher_args()
  31     # Get command line arguments
  32     parser.add_argument('-ne', '--num_examples', type=int, default=10)
  33     parser.add_argument('-mdl', '--max_display_len', type=int, default=1000)
  34     parser.add_argument('--display_ignore_fields', type=str, default='agent_reply')
  35     parser.set_defaults(datatype='train:stream')
  36     return parser
  37 
  38 
  39 def display_data(opt):
  40     # create repeat label agent and assign it to the specified task
  41     agent = RepeatLabelAgent(opt)
  42     world = create_task(opt, agent)
  43 
  44     # Show some example dialogs.
  45     for _ in range(opt['num_examples']):
  46         world.parley()
  47 
  48         # NOTE: If you want to look at the data from here rather than calling
  49         # world.display() you could access world.acts[0] directly
  50         print(world.display() + '\n~~')
  51 
  52         if world.epoch_done():
  53             print('EPOCH DONE')
  54             break
  55 
  56     try:
  57         # print dataset size if available
  58         print(
  59             '[ loaded {} episodes with a total of {} examples ]'.format(
  60                 world.num_episodes(), world.num_examples()
  61             )
  62         )
  63     except Exception:
  64         pass
  65 
  66 
  67 if __name__ == '__main__':
  68     random.seed(42)
  69 
  70     # Get command line arguments
  71     parser = setup_args()
  72     opt = parser.parse_args()
  73     display_data(opt)
  74
  [end of parlai/scripts/display_data.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/scripts/display_data.py b/parlai/scripts/display_data.py
  --- a/parlai/scripts/display_data.py
  +++ b/parlai/scripts/display_data.py
  @@ -29,9 +29,9 @@
           parser = ParlaiParser(True, True, 'Display data from a task')
       parser.add_pytorch_datateacher_args()
       # Get command line arguments
  -    parser.add_argument('-ne', '--num_examples', type=int, default=10)
  -    parser.add_argument('-mdl', '--max_display_len', type=int, default=1000)
  -    parser.add_argument('--display_ignore_fields', type=str, default='agent_reply')
  +    parser.add_argument('-n', '-ne', '--num-examples', type=int, default=10)
  +    parser.add_argument('-mdl', '--max-display-len', type=int, default=1000)
  +    parser.add_argument('--display-ignore-fields', type=str, default='agent_reply')
       parser.set_defaults(datatype='train:stream')
       return parser
   
  diff --git a/parlai/scripts/display_model.py b/parlai/scripts/display_model.py
  --- a/parlai/scripts/display_model.py
  +++ b/parlai/scripts/display_model.py
  @@ -24,7 +24,7 @@
   
   def setup_args():
       parser = ParlaiParser(True, True, 'Display model predictions.')
  -    parser.add_argument('-n', '--num-examples', default=10)
  +    parser.add_argument('-n', '-ne', '--num-examples', default=10)
       parser.add_argument('--display-ignore-fields', type=str, default='')
       # by default we want to display info about the validation set
       parser.set_defaults(datatype='valid')
  
verification_info: {"golden_diff": "diff --git a/parlai/scripts/display_data.py b/parlai/scripts/display_data.py\n--- a/parlai/scripts/display_data.py\n+++ b/parlai/scripts/display_data.py\n@@ -29,9 +29,9 @@\n         parser = ParlaiParser(True, True, 'Display data from a task')\n     parser.add_pytorch_datateacher_args()\n     # Get command line arguments\n-    parser.add_argument('-ne', '--num_examples', type=int, default=10)\n-    parser.add_argument('-mdl', '--max_display_len', type=int, default=1000)\n-    parser.add_argument('--display_ignore_fields', type=str, default='agent_reply')\n+    parser.add_argument('-n', '-ne', '--num-examples', type=int, default=10)\n+    parser.add_argument('-mdl', '--max-display-len', type=int, default=1000)\n+    parser.add_argument('--display-ignore-fields', type=str, default='agent_reply')\n     parser.set_defaults(datatype='train:stream')\n     return parser\n \ndiff --git a/parlai/scripts/display_model.py b/parlai/scripts/display_model.py\n--- a/parlai/scripts/display_model.py\n+++ b/parlai/scripts/display_model.py\n@@ -24,7 +24,7 @@\n \n def setup_args():\n     parser = ParlaiParser(True, True, 'Display model predictions.')\n-    parser.add_argument('-n', '--num-examples', default=10)\n+    parser.add_argument('-n', '-ne', '--num-examples', default=10)\n     parser.add_argument('--display-ignore-fields', type=str, default='')\n     # by default we want to display info about the validation set\n     parser.set_defaults(datatype='valid')\n", "issue": "Instructions at https://parl.ai yield: Parse Error: unrecognized arguments: -n 100\nFrom the examples section at https://parl.ai/, when running:\r\n\r\n```bash\r\npython examples/display_data.py -t babi:task1k:1,squad -n 100\r\n```\r\n\r\nI get the error:\r\n```\r\nParse Error: unrecognized arguments: -n 100\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\"\"\"Basic example which iterates through the tasks specified and runs the given\nmodel on them.\n\nExamples\n--------\n\n.. code-block:: shell\n\n  python examples/display_model.py -t babi:task1k:1 -m \"repeat_label\"\n  python examples/display_model.py -t \"#MovieDD-Reddit\" -m \"ir_baseline\" -mp \"-lp 0.5\" -dt test\n\"\"\"  # noqa: E501\n\nfrom parlai.core.params import ParlaiParser\nfrom parlai.core.agents import create_agent\nfrom parlai.core.worlds import create_task\n\nimport random\n\n\ndef setup_args():\n    parser = ParlaiParser(True, True, 'Display model predictions.')\n    parser.add_argument('-n', '--num-examples', default=10)\n    parser.add_argument('--display-ignore-fields', type=str, default='')\n    # by default we want to display info about the validation set\n    parser.set_defaults(datatype='valid')\n    return parser\n\n\ndef display_model(opt):\n    random.seed(42)\n\n    # Create model and assign it to the specified task\n    agent = create_agent(opt)\n    world = create_task(opt, agent)\n\n    # Show some example dialogs.\n    with world:\n        for _k in range(int(opt['num_examples'])):\n            world.parley()\n            print(world.display() + \"\\n~~\")\n            if world.epoch_done():\n                print(\"EPOCH DONE\")\n                break\n\n\nif __name__ == '__main__':\n    # Get command line arguments\n    parser = setup_args()\n    opt = parser.parse_args()\n    display_model(opt)\n", "path": "parlai/scripts/display_model.py"}, {"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\"\"\"Basic example which iterates through the tasks specified and prints them out.\nUsed for verification of data loading and iteration.\n\nFor example, to make sure that bAbI task 1 (1k exs) loads one can run and to\nsee a few of them:\n\nExamples\n--------\n\n.. code-block:: shell\n\n  python display_data.py -t babi:task1k:1\n\"\"\"\n\nfrom parlai.core.params import ParlaiParser\nfrom parlai.agents.repeat_label.repeat_label import RepeatLabelAgent\nfrom parlai.core.worlds import create_task\n\nimport random\n\n\ndef setup_args(parser=None):\n    if parser is None:\n        parser = ParlaiParser(True, True, 'Display data from a task')\n    parser.add_pytorch_datateacher_args()\n    # Get command line arguments\n    parser.add_argument('-ne', '--num_examples', type=int, default=10)\n    parser.add_argument('-mdl', '--max_display_len', type=int, default=1000)\n    parser.add_argument('--display_ignore_fields', type=str, default='agent_reply')\n    parser.set_defaults(datatype='train:stream')\n    return parser\n\n\ndef display_data(opt):\n    # create repeat label agent and assign it to the specified task\n    agent = RepeatLabelAgent(opt)\n    world = create_task(opt, agent)\n\n    # Show some example dialogs.\n    for _ in range(opt['num_examples']):\n        world.parley()\n\n        # NOTE: If you want to look at the data from here rather than calling\n        # world.display() you could access world.acts[0] directly\n        print(world.display() + '\\n~~')\n\n        if world.epoch_done():\n            print('EPOCH DONE')\n            break\n\n    try:\n        # print dataset size if available\n        print(\n            '[ loaded {} episodes with a total of {} examples ]'.format(\n                world.num_episodes(), world.num_examples()\n            )\n        )\n    except Exception:\n        pass\n\n\nif __name__ == '__main__':\n    random.seed(42)\n\n    # Get command line arguments\n    parser = setup_args()\n    opt = parser.parse_args()\n    display_data(opt)\n", "path": "parlai/scripts/display_data.py"}]}