Keep logspace functions together in resample

eniric/Qcalculator.py

@@ -58,7 +58,7 @@
 from astropy.units.quantity import Quantity
 from numpy import float64, ndarray
 
-from eniric.utilities import log_chunks
+from eniric.resample import log_chunks
 
 c = const.c
 

eniric/resample.py

@@ -148,3 +148,16 @@ def my_logspace(start, stop, base, end_point: bool = False):
         n = n + 1
     powers = np.arange(np.ceil(n))
     return start * base ** powers
+
+
+def log_chunks(wavelength, percent):
+    """Define the bounds at which $(\Delta \lambda)/\lambda = X\%$.
+
+    Allows spectrum to be split into chunks in which the size is X% of the given wavelength.
+    This takes logarithmic steps with a base of (1+X/100).
+    """
+    base = 1 + percent / 100.
+    wl_min = np.nanmin(wavelength)
+    wl_max = np.nanmax(wavelength)
+
+    return my_logspace(wl_min, wl_max, base, end_point=True)

eniric/utilities.py

@@ -509,16 +509,3 @@ def load_btsettl_spectrum(params, photons=True, air=False):
         # Turn into photon counts
         flux_micron = flux_micron * wav_micron
     return wav_micron, flux_micron
-
-
-def log_chunks(wavelength, percent):
-    """Define the bounds at which $(\Delta \lambda)/\lambda = X\%$.
-
-    Allows spectrum to be split into chunks in which the size is X% of the given wavelength.
-    This takes logarithmic steps with a base of (1+X/100).
-    """
-    base = 1 + percent / 100.
-    wl_min = np.nanmin(wavelength)
-    wl_max = np.nanmax(wavelength)
-
-    return my_logspace(wl_min, wl_max, base, end_point=True)