prompt: You will be provided with a partial code base and an issue statement explaining a problem to resolve.
  <issue>
  plot_dot 
  **Describe the bug**
  plotdot fig size doesn't behave the way I expect, in that when I set `figsize` in an axes that triple a previous one its not triple the size. There also are some minor bugs where the dots seem to be overlapping some
  
  **To Reproduce**
  ```
  samples = stats.beta(2,2).rvs(100)
  
  width = 10
  fig, ax = plt.subplots(figsize=(width, 10))
  az.plot_dot(samples, ax=ax)
  ax.set_title(f"Width: {width}")
  ax.set_xlim(0,1)
  ```
  
  Then try this, but see that figure is not three times the width
  ```
  width = 30
  fig, ax = plt.subplots(figsize=(width, 10))
  az.plot_dot(samples, ax=ax)
  ax.set_title(f"Width: {width}")
  ax.set_xlim(0,1)
  ```
  
  ![image](https://user-images.githubusercontent.com/7213793/168452674-b1a38bf9-db25-459e-85b0-cd61348283cd.png)
  ![image](https://user-images.githubusercontent.com/7213793/168452677-1410fd7b-7208-4045-ac8d-cbc52c0595dd.png)
  
  
  **Expected behavior**
  Figsize from `plt.subplots` is respected
  
  **Additional context**
  Arviz '0.12.0'
  
  
  </issue>
  <code>
  [start of arviz/plots/backends/matplotlib/dotplot.py]
  1 """Matplotlib dotplot."""
  2 import math
  3 import warnings
  4 import numpy as np
  5 import matplotlib.pyplot as plt
  6 from matplotlib import _pylab_helpers
  7 
  8 from ...plot_utils import _scale_fig_size
  9 from . import backend_kwarg_defaults, create_axes_grid, backend_show
  10 from ...plot_utils import plot_point_interval
  11 from ...dotplot import wilkinson_algorithm, layout_stacks
  12 
  13 
  14 def plot_dot(
  15     values,
  16     binwidth,
  17     dotsize,
  18     stackratio,
  19     hdi_prob,
  20     quartiles,
  21     rotated,
  22     dotcolor,
  23     intervalcolor,
  24     markersize,
  25     markercolor,
  26     marker,
  27     figsize,
  28     linewidth,
  29     point_estimate,
  30     nquantiles,
  31     point_interval,
  32     ax,
  33     show,
  34     backend_kwargs,
  35     plot_kwargs,
  36 ):
  37     """Matplotlib dotplot."""
  38     if backend_kwargs is None:
  39         backend_kwargs = {}
  40 
  41     backend_kwargs = {**backend_kwarg_defaults(), **backend_kwargs}
  42 
  43     backend_kwargs.setdefault("figsize", figsize)
  44     backend_kwargs["squeeze"] = True
  45 
  46     (figsize, _, _, _, auto_linewidth, auto_markersize) = _scale_fig_size(figsize, None)
  47 
  48     if plot_kwargs is None:
  49         plot_kwargs = {}
  50         plot_kwargs.setdefault("color", dotcolor)
  51 
  52     if linewidth is None:
  53         linewidth = auto_linewidth
  54 
  55     if markersize is None:
  56         markersize = auto_markersize
  57 
  58     if ax is None:
  59         fig_manager = _pylab_helpers.Gcf.get_active()
  60         if fig_manager is not None:
  61             ax = fig_manager.canvas.figure.gca()
  62         else:
  63             _, ax = create_axes_grid(
  64                 1,
  65                 backend_kwargs=backend_kwargs,
  66             )
  67 
  68     if point_interval:
  69         ax = plot_point_interval(
  70             ax,
  71             values,
  72             point_estimate,
  73             hdi_prob,
  74             quartiles,
  75             linewidth,
  76             markersize,
  77             markercolor,
  78             marker,
  79             rotated,
  80             intervalcolor,
  81             "matplotlib",
  82         )
  83 
  84     if nquantiles > values.shape[0]:
  85         warnings.warn(
  86             "nquantiles must be less than or equal to the number of data points", UserWarning
  87         )
  88         nquantiles = values.shape[0]
  89     else:
  90         qlist = np.linspace(1 / (2 * nquantiles), 1 - 1 / (2 * nquantiles), nquantiles)
  91         values = np.quantile(values, qlist)
  92 
  93     if binwidth is None:
  94         binwidth = math.sqrt((values[-1] - values[0] + 1) ** 2 / (2 * nquantiles * np.pi))
  95 
  96     ## Wilkinson's Algorithm
  97     stack_locs, stack_count = wilkinson_algorithm(values, binwidth)
  98     x, y = layout_stacks(stack_locs, stack_count, binwidth, stackratio, rotated)
  99 
  100     for (x_i, y_i) in zip(x, y):
  101         dot = plt.Circle((x_i, y_i), dotsize * binwidth / 2, **plot_kwargs)
  102         ax.add_patch(dot)
  103 
  104     if rotated:
  105         ax.tick_params(bottom=False, labelbottom=False)
  106     else:
  107         ax.tick_params(left=False, labelleft=False)
  108 
  109     ax.set_aspect("equal", adjustable="box")
  110     ax.autoscale()
  111 
  112     if backend_show(show):
  113         plt.show()
  114 
  115     return ax
  116
  [end of arviz/plots/backends/matplotlib/dotplot.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/arviz/plots/backends/matplotlib/dotplot.py b/arviz/plots/backends/matplotlib/dotplot.py
  --- a/arviz/plots/backends/matplotlib/dotplot.py
  +++ b/arviz/plots/backends/matplotlib/dotplot.py
  @@ -106,7 +106,7 @@
       else:
           ax.tick_params(left=False, labelleft=False)
   
  -    ax.set_aspect("equal", adjustable="box")
  +    ax.set_aspect("equal", adjustable="datalim")
       ax.autoscale()
   
       if backend_show(show):
  
verification_info: {"golden_diff": "diff --git a/arviz/plots/backends/matplotlib/dotplot.py b/arviz/plots/backends/matplotlib/dotplot.py\n--- a/arviz/plots/backends/matplotlib/dotplot.py\n+++ b/arviz/plots/backends/matplotlib/dotplot.py\n@@ -106,7 +106,7 @@\n     else:\n         ax.tick_params(left=False, labelleft=False)\n \n-    ax.set_aspect(\"equal\", adjustable=\"box\")\n+    ax.set_aspect(\"equal\", adjustable=\"datalim\")\n     ax.autoscale()\n \n     if backend_show(show):\n", "issue": "plot_dot \n**Describe the bug**\r\nplotdot fig size doesn't behave the way I expect, in that when I set `figsize` in an axes that triple a previous one its not triple the size. There also are some minor bugs where the dots seem to be overlapping some\r\n\r\n**To Reproduce**\r\n```\r\nsamples = stats.beta(2,2).rvs(100)\r\n\r\nwidth = 10\r\nfig, ax = plt.subplots(figsize=(width, 10))\r\naz.plot_dot(samples, ax=ax)\r\nax.set_title(f\"Width: {width}\")\r\nax.set_xlim(0,1)\r\n```\r\n\r\nThen try this, but see that figure is not three times the width\r\n```\r\nwidth = 30\r\nfig, ax = plt.subplots(figsize=(width, 10))\r\naz.plot_dot(samples, ax=ax)\r\nax.set_title(f\"Width: {width}\")\r\nax.set_xlim(0,1)\r\n```\r\n\r\n![image](https://user-images.githubusercontent.com/7213793/168452674-b1a38bf9-db25-459e-85b0-cd61348283cd.png)\r\n![image](https://user-images.githubusercontent.com/7213793/168452677-1410fd7b-7208-4045-ac8d-cbc52c0595dd.png)\r\n\r\n\r\n**Expected behavior**\r\nFigsize from `plt.subplots` is respected\r\n\r\n**Additional context**\r\nArviz '0.12.0'\r\n\n", "before_files": [{"content": "\"\"\"Matplotlib dotplot.\"\"\"\nimport math\nimport warnings\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib import _pylab_helpers\n\nfrom ...plot_utils import _scale_fig_size\nfrom . import backend_kwarg_defaults, create_axes_grid, backend_show\nfrom ...plot_utils import plot_point_interval\nfrom ...dotplot import wilkinson_algorithm, layout_stacks\n\n\ndef plot_dot(\n    values,\n    binwidth,\n    dotsize,\n    stackratio,\n    hdi_prob,\n    quartiles,\n    rotated,\n    dotcolor,\n    intervalcolor,\n    markersize,\n    markercolor,\n    marker,\n    figsize,\n    linewidth,\n    point_estimate,\n    nquantiles,\n    point_interval,\n    ax,\n    show,\n    backend_kwargs,\n    plot_kwargs,\n):\n    \"\"\"Matplotlib dotplot.\"\"\"\n    if backend_kwargs is None:\n        backend_kwargs = {}\n\n    backend_kwargs = {**backend_kwarg_defaults(), **backend_kwargs}\n\n    backend_kwargs.setdefault(\"figsize\", figsize)\n    backend_kwargs[\"squeeze\"] = True\n\n    (figsize, _, _, _, auto_linewidth, auto_markersize) = _scale_fig_size(figsize, None)\n\n    if plot_kwargs is None:\n        plot_kwargs = {}\n        plot_kwargs.setdefault(\"color\", dotcolor)\n\n    if linewidth is None:\n        linewidth = auto_linewidth\n\n    if markersize is None:\n        markersize = auto_markersize\n\n    if ax is None:\n        fig_manager = _pylab_helpers.Gcf.get_active()\n        if fig_manager is not None:\n            ax = fig_manager.canvas.figure.gca()\n        else:\n            _, ax = create_axes_grid(\n                1,\n                backend_kwargs=backend_kwargs,\n            )\n\n    if point_interval:\n        ax = plot_point_interval(\n            ax,\n            values,\n            point_estimate,\n            hdi_prob,\n            quartiles,\n            linewidth,\n            markersize,\n            markercolor,\n            marker,\n            rotated,\n            intervalcolor,\n            \"matplotlib\",\n        )\n\n    if nquantiles > values.shape[0]:\n        warnings.warn(\n            \"nquantiles must be less than or equal to the number of data points\", UserWarning\n        )\n        nquantiles = values.shape[0]\n    else:\n        qlist = np.linspace(1 / (2 * nquantiles), 1 - 1 / (2 * nquantiles), nquantiles)\n        values = np.quantile(values, qlist)\n\n    if binwidth is None:\n        binwidth = math.sqrt((values[-1] - values[0] + 1) ** 2 / (2 * nquantiles * np.pi))\n\n    ## Wilkinson's Algorithm\n    stack_locs, stack_count = wilkinson_algorithm(values, binwidth)\n    x, y = layout_stacks(stack_locs, stack_count, binwidth, stackratio, rotated)\n\n    for (x_i, y_i) in zip(x, y):\n        dot = plt.Circle((x_i, y_i), dotsize * binwidth / 2, **plot_kwargs)\n        ax.add_patch(dot)\n\n    if rotated:\n        ax.tick_params(bottom=False, labelbottom=False)\n    else:\n        ax.tick_params(left=False, labelleft=False)\n\n    ax.set_aspect(\"equal\", adjustable=\"box\")\n    ax.autoscale()\n\n    if backend_show(show):\n        plt.show()\n\n    return ax\n", "path": "arviz/plots/backends/matplotlib/dotplot.py"}]}