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* add type to test * ignore certain demos * notebooks * type test_video * more typing * more typing * more typing * add changeset * more typing * more * more * files * ds * ds * plots * audio push * annotated * utils * routes * iface * server * restore * external * dep * components * chat interface * fixes * blocks * blocks * blocks * blocks * fixes * fixes * format * fix --------- Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com>
74 lines
2.0 KiB
Python
74 lines
2.0 KiB
Python
import pytest
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import gradio as gr
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from gradio import utils
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class TestPlot:
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@pytest.mark.asyncio
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async def test_in_interface_as_output(self):
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"""
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Interface, process
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"""
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def plot(num):
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import matplotlib.pyplot as plt
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fig = plt.figure()
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plt.plot(range(num), range(num))
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return fig
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iface = gr.Interface(plot, "slider", "plot")
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with utils.MatplotlibBackendMananger():
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output = await iface.process_api(block_fn=0, inputs=[10])
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assert output["data"][0]["type"] == "matplotlib"
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assert output["data"][0]["plot"].startswith("data:image/webp;base64")
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def test_static(self):
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"""
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postprocess
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"""
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with utils.MatplotlibBackendMananger():
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import matplotlib.pyplot as plt
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fig = plt.figure()
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plt.plot([1, 2, 3], [1, 2, 3])
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component = gr.Plot(fig)
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assert component.get_config().get("value") is not None
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component = gr.Plot(None)
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assert component.get_config().get("value") is None
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def test_postprocess_altair(self):
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import altair as alt
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from vega_datasets import data
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cars = data.cars()
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chart = (
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alt.Chart(cars)
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.mark_point()
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.encode(
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x="Horsepower",
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y="Miles_per_Gallon",
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color="Origin",
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)
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)
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assert (out := gr.Plot().postprocess(chart))
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out = out.model_dump()
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assert isinstance(out["plot"], str)
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assert out["plot"] == chart.to_json()
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def test_plot_format_parameter(self):
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"""
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postprocess
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"""
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with utils.MatplotlibBackendMananger():
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import matplotlib.pyplot as plt
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fig = plt.figure()
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plt.plot([1, 2, 3], [1, 2, 3])
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component = gr.Plot(format="jpeg")
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assert (result := component.postprocess(fig))
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assert result.plot.startswith("data:image/jpeg")
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