rework web server so multiple clients can be server at a time
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@@ -1,6 +1,7 @@
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from __future__ import annotations
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import numpy as np
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from backend.node_registry import register_node
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from backend.execution_context import emit_overlay
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from backend.data_types import DataField, MeasureTable
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@@ -72,22 +73,18 @@ class Histogram:
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yb = float(counts[idx_b]) if len(counts) else 0.0
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count_unit = "count" if y_scale == "linear" else "log10(1+count)"
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if Histogram._broadcast_overlay_fn is not None:
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Histogram._broadcast_overlay_fn(
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Histogram._current_node_id,
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{
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"kind": "line_plot",
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"section_title": "Histogram",
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"line": counts.tolist(),
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"x_axis": bin_centers.astype(np.float64).tolist(),
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"x1": float(np.clip(x1, 0.0, 1.0)),
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"x2": float(np.clip(x2, 0.0, 1.0)),
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"y1": float(y1),
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"y2": float(y2),
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"a_locked": False,
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"b_locked": False,
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},
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)
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emit_overlay({
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"kind": "line_plot",
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"section_title": "Histogram",
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"line": counts.tolist(),
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"x_axis": bin_centers.astype(np.float64).tolist(),
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"x1": float(np.clip(x1, 0.0, 1.0)),
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"x2": float(np.clip(x2, 0.0, 1.0)),
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"y1": float(y1),
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"y2": float(y2),
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"a_locked": False,
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"b_locked": False,
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})
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table = MeasureTable([
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{"quantity": "A position", "value": xa, "unit": field.si_unit_z},
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