'Refactored by Sourcery'

Author: Sourcery AI

src/obstools/airmass.py

@@ -41,15 +41,14 @@ def refractive_index(h_gp):
     delta = 2.93e-4
     rho = atmosphere(h_gp)
 
-    n = 1. + delta * (rho / RHO0)
-    return n
+    return 1. + delta * (rho / RHO0)
 
 
 class Atmopshere(object):
     pass
 
 
-def atmosphere(H_gp):  # class StandardAtmosphere
+def atmosphere(H_gp):    # class StandardAtmosphere
     """
     US Standard Atmosphere, 1976
     As published by NOAA, NASA, and USAF
@@ -69,13 +68,16 @@ def atmosphere(H_gp):  # class StandardAtmosphere
     if isinstance(H_gp, (float, int)):
         H_gp = np.array([H_gp])
 
-    regions = [(0. <= H_gp) & (H_gp <= 11e3),
-               (11e3 < H_gp) & (H_gp <= 20e3),
-               (20e3 < H_gp) & (H_gp <= 32e3),
-               (32e3 < H_gp) & (H_gp <= 47e3),
-               (47e3 < H_gp) & (H_gp <= 51e3),
-               (51e3 < H_gp) & (H_gp <= 71e3),
-               (71e3 < H_gp) & (H_gp <= 84852.)]
+    regions = [
+        (H_gp >= 0.0) & (H_gp <= 11e3),
+        (H_gp > 11e3) & (H_gp <= 20e3),
+        (H_gp > 20e3) & (H_gp <= 32e3),
+        (H_gp > 32e3) & (H_gp <= 47e3),
+        (H_gp > 47e3) & (H_gp <= 51e3),
+        (H_gp > 51e3) & (H_gp <= 71e3),
+        (H_gp > 71e3) & (H_gp <= 84852.0),
+    ]
+
 
     expressions = [lambda x: RHO0 * (1. - x / 44330.94) ** 4.25587615,
                    lambda x: RHO0 * 0.29707755 * np.exp((11e3 - x) / 6341.62),
@@ -362,8 +364,7 @@ def delM(z, h):
 
         cos_delphi = (4 * (rhm * np.cos(im)) ** 2 - (delh * np.sin(im)) ** 2) / (
             4 * (rhm * np.cos(im)) ** 2 + (delh * np.sin(im)) ** 2)
-        dM = rho * np.sqrt(rh * rh + rhp * rhp - 2 * rh * rhp * cos_delphi)
-        return dM
+        return rho * np.sqrt(rh * rh + rhp * rhp - 2 * rh * rhp * cos_delphi)
 
     H = np.arange(0., Hmax, delh)
     X = np.empty(Z.shape)

src/obstools/aps/ApertureCollections.py

@@ -356,7 +356,7 @@ def __init__(self, widths=None, heights=None, angles=None, **kws):
 
     def __str__(self):
         # FIXME: better repr with widths, heights, angles
-        return '%s of shape %s' % (self.__class__.__name__, self.shape)
+        return f'{self.__class__.__name__} of shape {self.shape}'
 
     # def __repr__(self):
     #     return str(self)
@@ -518,26 +518,19 @@ def append(self, aps=None, **props):
             print('#' * 300)
             return
 
-        if not self.size:
-            concatenate = lambda o, a: a
-            # if the Collection was initialized as empty, set the new properties as current
-        else:
-            concatenate = props.concatenate
-
+        concatenate = props.concatenate if self.size else (lambda o, a: a)
         # embed()
         oprops = self._properties._original
         # Find which properties differ and update those
         for key, val in props.items():
-            if (not key in oprops) \
-                    or (not np.array_equal(oprops[key], props[
-                key])):  # `np.array_equal` here flags the empty properties as being unequal to the new ones, whereas `np.all` evaluates as True under the same conditions
+            if key not in oprops or not np.array_equal(oprops[key], props[key]):  # `np.array_equal` here flags the empty properties as being unequal to the new ones, whereas `np.all` evaluates as True under the same conditions
                 new = concatenate(self[key], val)
 
                 # print( '8'*88 )
                 # print('APPEND', key, self[key], val  )
                 # print( 'NEW:', new )
 
-                setter = getattr(self, 'set_%s' % key)
+                setter = getattr(self, f'set_{key}')
                 setter(new)
 
                 # print( )
@@ -581,8 +574,7 @@ def area(self, idx=...):
     def area_between(self, idxs):
         """return the area enclosed between the two apertures given by idxs"""
         A = np.array(self.area(idxs), ndmin=2)
-        area = np.abs(np.subtract(*A.T))
-        return area
+        return np.abs(np.subtract(*A.T))
 
     def center_proximity(self, position, idx=...):
         """
@@ -645,7 +637,7 @@ def edge_proximity(self, position, idx=...):
     # ==============================================================================================
     # TODO: maybe maxe this a propetry??
     def add_to_axes(self, ax=None):
-        if not self in ax.collections:
+        if self not in ax.collections:
             # print( 'Adding collection to axis' )
 
             # necessary for apertures to map correctly to data positions
@@ -888,10 +880,7 @@ def __init__(self, apertures, ax, **kws):
     # @expose.args( pre='='*100, post='?'*100 )
     def make_segments(self, radii):
 
-        if radii.size:
-            return [list(zip((r, r), (0, 1))) for r in radii]
-        else:
-            return []
+        return [list(zip((r, r), (0, 1))) for r in radii] if radii.size else []
 
     def update_from(self, aps):
 
@@ -1113,12 +1102,7 @@ def append(self, aps=None, **props):
         # can all be changed at a specific index.
 
         # FIXME: SMELLY CODE!!!!!!!!!!!!
-        if not self.size:
-            concatenate = lambda o, a: a
-            # HACK! if the Collection was initialized as empty, set the new properties as current
-        else:
-            concatenate = PropertyManager.concatenate
-
+        concatenate = PropertyManager.concatenate if self.size else (lambda o, a: a)
         # for key in self._properties.__broadcast__:
         for key, val in props.items():
 
@@ -1134,7 +1118,7 @@ def append(self, aps=None, **props):
                 print(e)
                 embed()
 
-            setter = getattr(self, 'set_%s' % key)
+            setter = getattr(self, f'set_{key}')
 
             print()
             # try:
@@ -1148,7 +1132,7 @@ def within_allowed_range(self, r):
     def resize(self, relative_motion, idx=..., ):
         print('RESIZING!', relative_motion, self.radii, idx)
 
-        if not relative_motion is None:
+        if relative_motion is not None:
             rnew = self.radii
             rnew[idx] += relative_motion
             if not self.within_allowed_range(rnew):

src/obstools/ephemeris.py

@@ -153,12 +153,11 @@ def rephase(phase, offset, *data):
     phase %= 1
     if data is None:
         return phase
-    else:
-        data = np.array(cosort(phase, *data))
+    data = np.array(cosort(phase, *data))
 
-        phase = data[0]
-        data = data[1:]
-        return phase, data
+    phase = data[0]
+    data = data[1:]
+    return phase, data
 
 
 def phase_splitter(ph, *data, **kws):

src/obstools/image/calibration.py

@@ -15,9 +15,7 @@ def __init__(self, name):
         self.name = f'_{name}'
 
     def __get__(self, instance, owner):
-        if instance is None:
-            return self
-        return getattr(instance, self.name)
+        return self if instance is None else getattr(instance, self.name)
 
     def __set__(self, instance, value):
         if value is keep:

src/obstools/image/mosaic.py

@@ -87,7 +87,7 @@ def plot_transformed_image(ax, image, fov=None, p=(0, 0, 0), frame=True,
 
         frame_kws = dict(fc='none', lw=0.5, ec='0.5', alpha=kws.get('alpha'))
         if isinstance(frame, dict):
-            frame_kws.update(frame)
+            frame_kws |= frame
 
         ax.add_patch(
             Rectangle(xy - half_pixel_size, *fov[::-1], np.degrees(theta),
@@ -256,7 +256,7 @@ def plot_image(self, image=None, fov=None, p=(0, 0, 0), name=None,
 
         #
         # if not isinstance(image, SkyImage):
-        if not image.__class__.__name__ == 'SkyImage':
+        if image.__class__.__name__ != 'SkyImage':
             image = SkyImage(image, fov)
 
         #
@@ -373,7 +373,7 @@ def mark_target(self, xy, name, colour='forestgreen', arrow_size=10,
     def label_image(self, name='', p=(0, 0, 0), fov=(0, 0), **kws):
         # default args for init
         _kws = {}
-        _kws.update(self.label_props)
+        _kws |= self.label_props
         _kws.update(kws)
         return self.ax.text(*ulc(p, fov), name,
                             rotation=np.degrees(p[-1]),

src/obstools/image/registration.py

@@ -298,10 +298,7 @@ def _checks(self, p, xy=None, *args, **kws):
         return self._check_params(p), self._check_grid(xy)
 
     def _check_params(self, p):
-        if (p is None) or (p == ()):
-            # default parameter values for evaluation
-            return np.zeros(self.dof)
-        return p
+        return np.zeros(self.dof) if (p is None) or (p == ()) else p
 
     def _check_grid(self, grid):
         #
@@ -373,9 +370,8 @@ def plot(self, grid=100, show_xy=True, show_peak=True, **kws):
         grid = duplicate_if_scalar(grid, self.n_dims, raises=False)
         if grid.size == self.n_dims:
             grid = self._auto_grid(grid)
-        else:
-            if (grid.ndim != 3) or (grid.shape[-1] != self.n_dims):
-                raise ValueError('Invalid grid')
+        elif (grid.ndim != 3) or (grid.shape[-1] != self.n_dims):
+            raise ValueError('Invalid grid')
 
         # compute model values
         z = self((), grid)
@@ -691,15 +687,13 @@ def display_multitab(images, fovs, params, coords):
     import more_itertools as mit
 
     ui = MplMultiTab()
-    for i, (image, fov, p, yx) in enumerate(zip(images, fovs, params, coords)):
+    for image, fov, p, yx in zip(images, fovs, params, coords):
         xy = yx[:, ::-1]  # roto_translate_yx(yx, np.r_[-p[:2], 0])[:, ::-1]
         ex = mit.interleave((0, 0), fov)
         im = ImageDisplay(image, extent=list(ex))
         im.ax.plot(*xy.T, 'kx', ms=5)
         ui.add_tab(im.figure)
         plt.close(im.figure)
-        # if i == 1:
-        #    break
     return ui
 
 
@@ -1102,20 +1096,18 @@ def _measure_positions_offsets(xy, centres, d_cut=None):
         out_new = (d > d_cut)
         out_new = np.ma.getdata(out_new) | np.ma.getmask(out_new)
 
-        changed = (outliers != out_new).any()
-        if changed:
-            out = out_new
-            xym[out] = np.ma.masked
-            n_out = out.sum()
+        if not (changed := (outliers != out_new).any()):
+            break
 
-            if n_out / n_points > 0.5:
-                raise Exception('Too many outliers!!')
+        out = out_new
+        xym[out] = np.ma.masked
+        n_out = out.sum()
 
-            logger.info('Ignoring %i/%i (%.1f%%) values with |δr| > %.3f',
-                        n_out, n_points, (n_out / n_points) * 100, d_cut)
-        else:
-            break
+        if n_out / n_points > 0.5:
+            raise Exception('Too many outliers!!')
 
+        logger.info('Ignoring %i/%i (%.1f%%) values with |δr| > %.3f',
+                    n_out, n_points, (n_out / n_points) * 100, d_cut)
     return centres, xy_shifted.std(0), xy_offsets.squeeze(), outliers
 
 
@@ -1385,7 +1377,7 @@ def plot(self, ax=None, p=(0, 0, 0), scale='fov', frame=True, **kws):
             frame_kws = dict(fc='none', lw=1, ec='0.5',
                              alpha=kws.get('alpha'))
             if isinstance(frame, dict):
-                frame_kws.update(frame)
+                frame_kws |= frame
 
             *xy, theta = p
             frame = Rectangle(np.subtract(xy, half_pixel_size), *urc,
@@ -1652,11 +1644,7 @@ def from_images(cls, images, fovs, angles=(), ridx=None, plot=False,
         # message
         cls.logger.info('Aligning %i images on image %i', n, ridx)
 
-        if len(angles):
-            angles = np.array(angles) - angles[ridx]  # relative angles
-        else:
-            angles = np.zeros(n)
-
+        angles = np.array(angles) - angles[ridx] if len(angles) else np.zeros(n)
         reg = cls(**find_kws)
         for i in indices:
             reg(images[i], fovs[i], angles[i], plot=plot)
@@ -2566,8 +2554,7 @@ def mosaic(self, names=(), **kws):
     def get_rotation(self):
         # transform pixel to ICRS coordinate
         h = self.hdu[0].header
-        theta = np.pi / 2 - np.arctan(-h['CD1_1'] / h['CD1_2'])
-        return theta
+        return np.pi / 2 - np.arctan(-h['CD1_1'] / h['CD1_2'])
 
     # todo: def proper_motion_correction(self, coords):