jree423 commited on
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c1221ef
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1 Parent(s): f8b22af

Fix: Update Dockerfile and requirements.txt to include cairosvg dependency

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  1. Dockerfile +8 -1
Dockerfile CHANGED
@@ -17,7 +17,14 @@ RUN apt-get update && apt-get install -y \
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  # Install Python dependencies
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  COPY requirements.txt .
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  RUN pip install --no-cache-dir -r requirements.txt
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- RUN pip install --no-cache-dir cairosvg diffvg
 
 
 
 
 
 
 
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  # Copy application code
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  COPY . .
 
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  # Install Python dependencies
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  COPY requirements.txt .
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  RUN pip install --no-cache-dir -r requirements.txt
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+ RUN pip install --no-cache-dir cairosvg
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+
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+ # Create mock diffvg package
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+ RUN mkdir -p /tmp/mock_diffvg/pydiffvg && \
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+ echo '# Mock diffvg package\nimport numpy as np\nimport torch\n\ndef render(shapes, shape_groups, width, height, samples=2, seed=None):\n return torch.zeros((height, width, 3), dtype=torch.float32)\n\ndef render_shape_group(canvas, shape_group_id, shapes, shape_groups, shape_ids, samples=2, seed=None):\n pass\n\ndef save_svg(shapes, shape_groups, filename, width, height, use_gamma=False, background=None):\n with open(filename, "w") as f:\n f.write(f"<svg width=\\"{width}\\" height=\\"{height}\\" xmlns=\\"http://www.w3.org/2000/svg\\"><rect width=\\"100%\\" height=\\"100%\\" fill=\\"white\\"/></svg>")\n\ndef svg_path_to_shapes(path_string):\n return [], []\n\ndef from_svg(filename):\n return [], []\n\nclass Circle:\n def __init__(self, radius=1.0, center=None):\n self.radius = radius\n self.center = center if center is not None else torch.tensor([0.0, 0.0])\n\nclass Ellipse:\n def __init__(self, radius=None, center=None):\n self.radius = radius if radius is not None else torch.tensor([1.0, 1.0])\n self.center = center if center is not None else torch.tensor([0.0, 0.0])\n\nclass Path:\n def __init__(self, points=None, is_closed=True):\n self.points = points if points is not None else torch.tensor([[0.0, 0.0], [1.0, 0.0], [1.0, 1.0], [0.0, 1.0]])\n self.is_closed = is_closed\n\nclass Rect:\n def __init__(self, p_min=None, p_max=None):\n self.p_min = p_min if p_min is not None else torch.tensor([0.0, 0.0])\n self.p_max = p_max if p_max is not None else torch.tensor([1.0, 1.0])\n\nclass ShapeGroup:\n def __init__(self, shape_ids=None, fill_color=None, stroke_color=None):\n self.shape_ids = shape_ids if shape_ids is not None else []\n self.fill_color = fill_color if fill_color is not None else torch.tensor([1.0, 1.0, 1.0, 1.0])\n self.stroke_color = stroke_color if stroke_color is not None else torch.tensor([0.0, 0.0, 0.0, 1.0])' > /tmp/mock_diffvg/pydiffvg/__init__.py && \
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+ echo 'from setuptools import setup, find_packages\n\nsetup(\n name="pydiffvg",\n version="0.0.1",\n packages=find_packages(),\n install_requires=[\n "numpy",\n "torch",\n ],\n)' > /tmp/mock_diffvg/setup.py && \
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+ cd /tmp/mock_diffvg && \
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+ pip install .
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  # Copy application code
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  COPY . .