def _prepare_light(self, img):
# Creation of 1D distributions for sampling
c_distr = []
values = [0.0] * img.height
for i in range(img.height):
# 1D Distribution
lums = get_lums(img, i)
tmp_distr = create_1d_distribution(lums)
c_distr.append(tmp_distr)
values[i] = tmp_distr.max_cdf
r_distr = create_1d_distribution(values)
#prepare structure for shader
arr = FloatArray()
for v in r_distr.cdfs:
arr.append(v)
arr.append(1.0)
self._arr1 = arr
arr2d = FloatArray2D(img.width + 1, img.height)
for y in range(img.height):
d = c_distr[y]
for x in range(img.width):
arr2d[x, y] = d.cdfs[x]
arr2d[x, y] = 1.0
self._arr2 = arr2d
def test_get_item(self):
arr = FloatArray(values=(2, 3, 4, 5, 6, 7))
code = """
index = 3
num = get_item(arr, index)
"""
props = {'arr': arr, 'num': 2.3}
bs = BasicShader(code, props)
runtime = Runtime()
bs.prepare([runtime])
#print (bs.shader._code)
bs.execute()
val = bs.shader.get_value('num')
self.assertAlmostEqual(val, 5.0, places=5)
from renmas3.base import FloatArray, FloatArray2D arr = FloatArray(values=[4, 5, 6, 7, 8]) arr.append(3) arr.extend((9, 9, 99, 1, 2, 4)) print(arr[10]) print(len(arr)) print(arr[2]) arr2 = FloatArray2D(3, 4) arr2[2, 2] = 3 print(arr2[2, 2])
from renmas3.base import FloatArray, FloatArray2D arr = FloatArray(values=[4, 5, 6, 7, 8]) arr.append(3) arr.extend((9, 9, 99, 1, 2, 4)) print(arr[10]) print(len(arr)) print(arr[2]) arr2 = FloatArray2D(3, 4) arr2[2, 2] = 3 print(arr2[2, 2])