Angular grating uses resolve_grating_params

stimuli/components/angular.py

@@ -4,7 +4,7 @@
 import numpy as np
 
 from stimuli.components.circular import ring
-from stimuli.components.components import image_base
+from stimuli.components.components import image_base, resolve_grating_params
 from stimuli.utils import resolution
 
 __all__ = [
@@ -189,91 +189,13 @@ def angular_segments(
         img += bool_mask["mask"] * intensity
         mask += bool_mask["mask"] * (idx + 1)
 
-    return {"img": img, "mask": mask, "angles": angles, "visual_size": visual_size, "ppd": ppd}
-
-
-def resolve_angular_params(
-    shape=None,
-    visual_size=None,
-    ppd=None,
-    frequency=None,
-    n_segments=None,
-    segment_width=None,
-):
-    """Resolve (if possible) spatial parameters for angular grating, i.e., set of segments
-
-    Angular grating (circle segments) component takes the regular resolution parameters
-    (shape, ppd, visual_size). In addition, there has to be an additional specification
-    of the number of segments, and their width. This can be done in two ways:
-    a segment_width (in degrees) and n_segments, and/or by specifying the spatial frequency
-    of a angular grating (in cycles per degree)
-
-    The total shape (in pixels) and visual size (in degrees) has to match the
-    specification of the segments and their widths.
-    Thus, not all 6 parameters have to be specified, as long as the both the resolution
-    and the distribution of segments can be resolved.
-
-    Note: all segments in a grating have the same width
-
-    Parameters
-    ----------
-    shape : Sequence[Number, Number], Number, or None (default)
-        shape [height, width] of image, in pixels
-    visual_size : Sequence[Number, Number], Number, or None (default)
-        visual size [height, width] of image, in degrees
-    ppd : Sequence[Number, Number], Number, or None (default)
-        pixels per degree [vertical, horizontal]
-    frequency : Number, or None (default)
-        spatial frequency of angular grating, in cycles per degree
-    n_segments : int, or None (default)
-        number of segments
-    segment_width : Number, or None (default)
-        width of a single segment, in degrees
-
-    Returns
-    -------
-    dict[str, Any]
-        dictionary with all six resolution & size parameters resolved.
-    """
-
-    # Resolve resolution
-    resolution.resolve(shape=shape, visual_size=visual_size, ppd=ppd)
-
-    # Try to resolve number and width(s) of segments
-    # segment_width = degrees_per_segment = 1 / segments_per_degree = 1 / (2*frequency)
-    if segment_width is not None:
-        segment_per_degree = 1 / segment_width
-        if frequency is not None and segment_per_degree != 2 * frequency:
-            raise ValueError(
-                f"segment_width {segment_width} and frequency {frequency} don't match"
-            )
-    elif frequency is not None:
-        segment_per_degree = 2 * frequency
-    else:  # both are None:
-        segment_per_degree = None
-
-    # Logic here is that segment_width expresses "degrees per segment",
-    # which we can invert to segments_per_degree, analogous to ppd:
-    # n_segments = segments_per_degree * n_degrees
-    # is analogous to
-    # pix = ppd * n_degrees
-    # Thus we can resolve the number and spacing of segments also as a resolution
-    try:
-        n_segments, _, segment_per_degree = resolution.resolve_1D(
-            length=n_segments, visual_angle=360, ppd=segment_per_degree
-        )
-        segment_width = 1 / segment_per_degree
-        frequency = segment_per_degree / 2
-    except Exception as e:
-        raise Exception("Could not resolve grating frequency, segment_width, n_segments") from e
-
     return {
-        "shape": shape,
+        "img": img,
+        "mask": mask,
+        "angles": angles,
         "visual_size": visual_size,
         "ppd": ppd,
-        "frequency": frequency,
-        "segment_width": segment_width,
-        "n_segments": n_segments,
+        "shape": shape,
     }
 
 
@@ -318,30 +240,40 @@ def grating(
         and additional keys containing stimulus parameters
     """
 
-    # Resolve grating
-    params = resolve_angular_params(shape, visual_size, ppd, frequency, n_segments, segment_width)
+    # Resolve resolution
+    shape, visual_size, ppd = resolution.resolve(shape=shape, visual_size=visual_size, ppd=ppd)
 
-    # Clean-up params for passing through
-    stim_params = copy.deepcopy(params)
-    n_segments = stim_params.pop("n_segments", None)
-    segment_width = stim_params.pop("segment_width", None)
-    stim_params.pop("frequency", None)
+    # Resolve grating
+    params = resolve_grating_params(
+        visual_angle=360,
+        ppd=1,
+        frequency=frequency,
+        n_phases=n_segments,
+        phase_width=segment_width,
+        period="ignore",
+    )
 
     # Determine angles
-    angular_widths = itertools.repeat(segment_width, n_segments - 1)
-    angles = np.array([0] + [*itertools.accumulate(angular_widths)] + [360])
+    angles = [0] + params["edges"]
     angles = sorted(np.unique(angles))
 
     # Draw stim
     stim = angular_segments(
-        angles,
+        angles=angles,
         rotation=rotation,
-        **stim_params,
+        visual_size=visual_size,
+        ppd=ppd,
+        shape=shape,
         intensities=intensities,
     )
 
     # Assemble output
-    return {**stim, **params}
+    return {
+        **stim,
+        "n_segments": params["n_phases"],
+        "frequency": params["frequency"],
+        "n_segments": params["n_phases"],
+    }
 
 
 def pinwheel(