mirror of
https://github.com/pyscript/pyscript.git
synced 2026-04-30 16:00:32 -04:00
examples inspector plugin (#1040)
* replace unnecessary elements from hello_world example and replace with py-tutor tag * add py_tutor plugin * port altair example * add code for more granular tutor mode * add support for including modules source in pytutor * remove js dependencies in hello_world * put antigravity on a diet ;) * use py-tutor on antigravity example * use py-tutor on d3 example * use py-tutor on bokeh example * use py-tutor on bokeh_interactive example * fix issue when module_paths is undefined * remove prism js dependency leftovers * ooops, really remove prism js dependency leftovers * port follium example to pytutor * port pymarkdown and matplotlib example to pytutor * port message_passing and numpy_convas_fractals examples to pytutor * port the panel complex examples to pytutor * port the panel complex examples to pytutor * port last examples to py-tutor * remove prism * remore most debugging logs and replace log with info * add new d3.py file * add comments to connect method * clean pyscript class from logs * revert class pySrc attribute * add check_tutor_generated_code to test code inspector plugin in examples * add doctsting to PyTutor connect * add check for tutor code inspection on all examples * Update pyscriptjs/src/plugins/python/py_tutor.py fix template indentation Co-authored-by: Fábio Rosado <fabioglrosado@gmail.com> * Update examples/todo-pylist.html fix typo (stray = ) Co-authored-by: Fábio Rosado <fabioglrosado@gmail.com> * fix pymarkdown example Co-authored-by: Fabio Pliger <fpliger@anaconda.com> Co-authored-by: Fábio Rosado <fabioglrosado@gmail.com>
This commit is contained in:
@@ -33,8 +33,6 @@
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<link rel="stylesheet" href="https://pyscript.net/latest/pyscript.css" />
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<script defer src="https://pyscript.net/latest/pyscript.js"></script>
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<link rel="stylesheet" href="./assets/css/examples.css" />
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<link rel="stylesheet" href="./assets/prism/prism.css" />
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<script defer src="./assets/prism/prism.js"></script>
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</head>
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<body>
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@@ -56,148 +54,68 @@
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</div>
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</div>
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</div>
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</div>
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<py-config>
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packages = [
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"bokeh",
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"numpy",
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"pandas",
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"panel==0.13.1"
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]
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</py-config>
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<py-tutor>
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<py-config>
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packages = [
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"bokeh",
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"numpy",
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"pandas",
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"panel==0.13.1"
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]
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plugins = [
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"../build/plugins/python/py_tutor.py"
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]
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</py-config>
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<py-script>
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import panel as pn
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import numpy as np
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import pandas as pd
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<py-script>
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import panel as pn
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import numpy as np
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import pandas as pd
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from bokeh.models import ColumnDataSource
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from bokeh.plotting import figure
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from bokeh.models import ColumnDataSource
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from bokeh.plotting import figure
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df = pd.DataFrame(np.random.randn(10, 4), columns=list('ABCD')).cumsum()
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df = pd.DataFrame(np.random.randn(10, 4), columns=list('ABCD')).cumsum()
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rollover = pn.widgets.IntInput(name='Rollover', value=15)
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follow = pn.widgets.Checkbox(name='Follow', value=True, align='end')
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rollover = pn.widgets.IntInput(name='Rollover', value=15)
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follow = pn.widgets.Checkbox(name='Follow', value=True, align='end')
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tabulator = pn.widgets.Tabulator(df, height=450, width=400).servable(target='table')
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tabulator = pn.widgets.Tabulator(df, height=450, width=400).servable(target='table')
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def color_negative_red(val):
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"""
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Takes a scalar and returns a string with
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the css property `'color: red'` for negative
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strings, black otherwise.
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"""
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color = 'red' if val < 0 else 'green'
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return 'color: %s' % color
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def color_negative_red(val):
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"""
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Takes a scalar and returns a string with
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the css property `'color: red'` for negative
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strings, black otherwise.
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"""
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color = 'red' if val < 0 else 'green'
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return 'color: %s' % color
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tabulator.style.applymap(color_negative_red)
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tabulator.style.applymap(color_negative_red)
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p = figure(height=450, width=600)
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p = figure(height=450, width=600)
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cds = ColumnDataSource(data=ColumnDataSource.from_df(df))
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cds = ColumnDataSource(data=ColumnDataSource.from_df(df))
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p.line('index', 'A', source=cds, line_color='red')
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p.line('index', 'B', source=cds, line_color='green')
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p.line('index', 'C', source=cds, line_color='blue')
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p.line('index', 'D', source=cds, line_color='purple')
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p.line('index', 'A', source=cds, line_color='red')
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p.line('index', 'B', source=cds, line_color='green')
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p.line('index', 'C', source=cds, line_color='blue')
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p.line('index', 'D', source=cds, line_color='purple')
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def stream():
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data = df.iloc[-1] + np.random.randn(4)
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tabulator.stream(data, rollover=rollover.value, follow=follow.value)
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value = {k: [v] for k, v in tabulator.value.iloc[-1].to_dict().items()}
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value['index'] = [tabulator.value.index[-1]]
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cds.stream(value)
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def stream():
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data = df.iloc[-1] + np.random.randn(4)
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tabulator.stream(data, rollover=rollover.value, follow=follow.value)
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value = {k: [v] for k, v in tabulator.value.iloc[-1].to_dict().items()}
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value['index'] = [tabulator.value.index[-1]]
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cds.stream(value)
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cb = pn.state.add_periodic_callback(stream, 200)
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cb = pn.state.add_periodic_callback(stream, 200)
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pn.pane.Bokeh(p).servable(target='plot')
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pn.Row(cb.param.period, rollover, follow, width=400).servable(target='controls')
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</py-script>
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</section>
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<section class="code">
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<div id="view-code-button" role="button" aria-pressed="false" tabindex="0" style="height: 95px;">View Code</div>
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<div id="code-section" class="code-section-hidden">
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<p>index.html</p>
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<pre class="prism-code language-html">
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<code class="language-html">
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<py-config>
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packages = [
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"bokeh",
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"numpy",
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"pandas",
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"panel==0.13.1"
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]
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</py-config>
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<py-script>
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import panel as pn
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import numpy as np
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import pandas as pd
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from bokeh.models import ColumnDataSource
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from bokeh.plotting import figure
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df = pd.DataFrame(np.random.randn(10, 4), columns=list('ABCD')).cumsum()
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rollover = pn.widgets.IntInput(name='Rollover', value=15)
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follow = pn.widgets.Checkbox(name='Follow', value=True, align='end')
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tabulator = pn.widgets.Tabulator(df, height=450, width=400).servable(target='table')
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def color_negative_red(val):
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"""
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Takes a scalar and returns a string with
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the css property `'color: red'` for negative
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strings, black otherwise.
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"""
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color = 'red' if val < 0 else 'green'
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return 'color: %s' % color
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tabulator.style.applymap(color_negative_red)
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p = figure(height=450, width=600)
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cds = ColumnDataSource(data=ColumnDataSource.from_df(df))
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p.line('index', 'A', source=cds, line_color='red')
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p.line('index', 'B', source=cds, line_color='green')
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p.line('index', 'C', source=cds, line_color='blue')
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p.line('index', 'D', source=cds, line_color='purple')
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def stream():
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data = df.iloc[-1] + np.random.randn(4)
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tabulator.stream(data, rollover=rollover.value, follow=follow.value)
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value = {k: [v] for k, v in tabulator.value.iloc[-1].to_dict().items()}
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value['index'] = [tabulator.value.index[-1]]
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cds.stream(value)
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cb = pn.state.add_periodic_callback(stream, 200)
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pn.pane.Bokeh(p).servable(target='plot')
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pn.Row(cb.param.period, rollover, follow, width=400).servable(target='controls')
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</py-script>
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</code>
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</pre>
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</div>
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pn.pane.Bokeh(p).servable(target='plot')
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pn.Row(cb.param.period, rollover, follow, width=400).servable(target='controls')
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</py-script>
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</py-tutor>
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</section>
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</body>
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<script>
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const viewCodeButton = document.getElementById("view-code-button");
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const codeSection = document.getElementById("code-section");
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const handleClick = () => {
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if (codeSection.classList.contains("code-section-hidden")) {
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codeSection.classList.remove("code-section-hidden");
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codeSection.classList.add("code-section-visible");
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} else {
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codeSection.classList.remove("code-section-visible");
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codeSection.classList.add("code-section-hidden");
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}
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}
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viewCodeButton.addEventListener("click", handleClick)
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viewCodeButton.addEventListener("keydown", (e) => {
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if (e.key === " " || e.key === "Enter" || e.key === "Spacebar") {
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handleClick();
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}
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})
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</script>
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</html>
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