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deduplication pass

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This commit is contained in:
matei jordache
2026-04-03 18:19:08 -07:00
parent f6b47e6d79
commit c8d766677b
42 changed files with 484 additions and 689 deletions
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10
backend/nodes/fractal_dimension.py
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@@ -8,6 +8,7 @@ from scipy.ndimage import map_coordinates
from backend.data_types import LineData, RecordTable
from backend.execution_context import emit_overlay, emit_table, emit_warning
from backend.node_registry import register_node
from backend.nodes.spectral_common import _window_vector
_LOG_TINY = float(np.finfo(np.float64).tiny)
@@ -79,13 +80,6 @@ def _row_level2(row: np.ndarray) -> np.ndarray:
return values - (coeffs[0] + coeffs[1] * x)
def _hann_window(size: int) -> np.ndarray:
if size <= 0:
return np.ones(0, dtype=np.float64)
t = (np.arange(size, dtype=np.float64) + 0.5) / float(size)
return 0.5 - 0.5 * np.cos(2.0 * np.pi * t)
def _window_with_rms_compensation(values: np.ndarray, window: np.ndarray) -> np.ndarray:
row = np.asarray(values, dtype=np.float64)
rms = float(np.sqrt(np.mean(row * row)))
@@ -207,7 +201,7 @@ def _fractal_psdf(data: np.ndarray) -> tuple[np.ndarray, np.ndarray]:
if width < 2 or rows < 1:
return np.zeros(0, dtype=np.float64), np.zeros(0, dtype=np.float64)
window = _hann_window(width)
window = _window_vector(width, "hann")
accum = np.zeros(width // 2 + 1, dtype=np.float64)
for row in np.asarray(data, dtype=np.float64):
leveled = _row_level2(row)