test removing numba dependency

ecoscope/analysis/UD/etd_range.py

@@ -3,9 +3,7 @@
 import typing
 from dataclasses import dataclass
 
-import numba as nb
 import numpy as np
-import scipy
 import sklearn
 from scipy.optimize import minimize
 from scipy.stats import weibull_min
@@ -14,19 +12,6 @@
 from ecoscope.io import raster
 
 
-@nb.cfunc("double(intc, CPointer(double))")
-def __etd__(_, a):
-    s = a[0]
-    k = a[1]
-    el = a[2]
-    m = a[3]
-
-    return np.exp(-((s / el) ** k)) * s ** (k - 2) / np.sqrt(s**2 - m**2)
-
-
-_etd = scipy.LowLevelCallable(__etd__.ctypes)
-
-
 class WeibullPDF:
     @staticmethod
     def fit(data, floc=0):
@@ -182,9 +167,7 @@ def calculate_etd_range(
     scale = weibull_pdf.scale
 
     x = np.arange(0.001, maxspeed, 0.001)
-    y = (4 * shape * scale ** (-shape) / np.pi) * np.array(
-        [scipy.integrate.quad(_etd, m, maxspeed, args=(shape, scale, m))[0] for m in x]
-    )
+    y = 4 * shape * scale ** (-shape) / np.pi
 
     raster_ndarray = np.zeros(num_rows * num_columns, dtype=np.float64)
 

setup.py

@@ -25,7 +25,6 @@
     "mapclassify",
     "matplotlib",
     "networkx",
-    "numba",
     "plotly",
     "pyarrow",
     "pyproj",