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"""
ui/code_templates.py
Code templates for derived channel kinds.
BUILTIN_TEMPLATES — shown as read-only previews for built-in kinds.
"Edit as Custom Script" copies the template into custom_script.
Uses exec-style: assign to `result`.
SCRIPT_TEMPLATES — default starter code shown when user picks a script kind.
expression → single Python expression (no assignment)
function → auto-wrapped as def compute(x, t): ... use return
custom_script → exec-style block, assign to `result`
Namespace available in all kinds:
x — list of source values in source order
<name> — each source's channel_id as a named variable (same as x[i])
t — elapsed time (seconds)
math — Python math module
vars — shared SignalProcessor._script_vars dict (read/write)
state — per-channel persistent dict (survives between evaluations)
"""
BUILTIN_TEMPLATES: dict = {
"derivative": """\
# dy/dt — backward finite difference
prev_v = state.get("v", x[0])
prev_t = state.get("t", t)
state["v"] = x[0]
state["t"] = t
result = (x[0] - prev_v) / (t - prev_t) if t != prev_t else 0.0
""",
"second_derivative": """\
# d²y/dt² — two-pass finite difference
prev_v = state.get("v", x[0])
prev_t = state.get("t", t)
prev_vel = state.get("vel", 0.0)
cur_vel = (x[0] - prev_v) / (t - prev_t) if t != prev_t else 0.0
result = (cur_vel - prev_vel) / (t - prev_t) if t != prev_t else 0.0
state["v"] = x[0]
state["t"] = t
state["vel"] = cur_vel
""",
"rms": """\
# Rolling RMS over a sliding window
import math as _math
buf = state.setdefault("buf", [])
buf.append(x[0])
window = 20 # adjust window size (samples) here
if len(buf) > window:
buf.pop(0)
result = _math.sqrt(sum(v * v for v in buf) / len(buf))
""",
"power": """\
# Electrical power P = V × I
# source 0 = voltage, source 1 = current
result = x[0] * x[1]
""",
"difference": """\
# Difference A − B
# source 0 = A, source 1 = B
result = x[0] - x[1]
""",
"sum": """\
# Sum of all sources
result = sum(x)
""",
}
# Default starter code shown when user selects a script kind
SCRIPT_TEMPLATES: dict = {
"expression": "x[0]",
"function": """\
# Function body — use 'return' to output the value.
# Named source vars, t, math, vars, state all available.
offset = vars.get("offset", 0)
return x[0] - offset
""",
"custom_script": """\
# Assign computed value to 'result'.
# Named source vars, t, math, vars, state all available.
# Example: running zero-offset
zero = vars.get("zero", 0)
result = x[0] - zero
""",
}
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