def test_perf_to_rgb_2d():
hsl = np.random.rand(19200, 3) * 100
import nphusl
nphusl.enable_standard_fns()
cs = None
t1 = timeit.timeit("nphusl.to_rgb(hsl, chunksize=cs)", number=1, globals=locals())
nphusl.enable_numexpr_fns()
t2 = timeit.timeit("nphusl.to_rgb(hsl, chunksize=cs)", number=1, globals=locals())
nphusl.enable_cython_fns()
t3 = timeit.timeit("nphusl.to_rgb(hsl, chunksize=cs)", number=1, globals=locals())
print("to_rgb()\nCython: {}\nNumExpr: {}\nNumpy: {}".format(
t3, t2, t1))
assert t3 < t2 < t1
def test_perf_rgb_to_husl_2d():
rgb = np.random.rand(19200, 3)
nphusl.enable_cython_fns()
go_cy = cy.rgb_to_husl
t_cy = timeit.timeit("go_cy(rgb)", number=1, globals=locals())
nphusl.enable_standard_fns()
nphusl.enable_numexpr_fns()
go_ex = nphusl.rgb_to_husl
t_ex = timeit.timeit("go_ex(rgb)", number=1, globals=locals())
nphusl.enable_standard_fns()
go_np = nphusl.rgb_to_husl
t_np = timeit.timeit("go_np(rgb)", number=1, globals=locals())
print("\n2D RGB->HUSL: "
"\nCython: {}s\nNumExpr: {}s\nNumpy: {}s".format(
t_cy, t_ex, t_np))
assert t_cy < t_ex and t_cy < t_np
def test_perf_cython_husl_to_rgb():
hsl = np.random.rand(1920, 1080, 3) * 100
nphusl.enable_cython_fns()
go_cy = cy.husl_to_rgb
t_cy = timeit.timeit("go_cy(hsl)", number=1, globals=locals())
nphusl.enable_standard_fns()
nphusl.enable_numexpr_fns()
go_ex = nphusl.husl_to_rgb
t_ex = timeit.timeit("go_ex(hsl)", number=1, globals=locals())
nphusl.enable_standard_fns()
go_np = nphusl.husl_to_rgb
t_np = timeit.timeit("go_np(hsl)", number=1, globals=locals())
print("\n1080p image HUSL->RGB: "
"\nCython: {}s\nNumExpr: {}s\nNumpy: {}s".format(
t_cy, t_ex, t_np))
assert t_cy < t_ex < t_np
assert t_np / t_cy > 2
def with_cyth(*args, **kwargs):
assert hasattr(nphusl, "_nphusl_cython")
nphusl.enable_cython_fns()
fn(*args, **kwargs)
nphusl.enable_standard_fns()
def with_expr(*args, **kwargs):
assert hasattr(nphusl, "_nphusl_expr")
nphusl.enable_numexpr_fns()
fn(*args, **kwargs)
nphusl.enable_standard_fns()
import argparse
import sys
import imread
import numpy as np
import nphusl
from nphusl.nphusl import _channel
import husl # the original husl-colors.org library
nphusl.enable_standard_fns() # test, by default, without optimizations
### Tests for conversion in the RGB -> HUSL direction
def try_all_optimizations(fn):
def with_expr(*args, **kwargs):
assert hasattr(nphusl, "_nphusl_expr")
nphusl.enable_numexpr_fns()
fn(*args, **kwargs)
nphusl.enable_standard_fns()
def with_cyth(*args, **kwargs):
assert hasattr(nphusl, "_nphusl_cython")
nphusl.enable_cython_fns()
fn(*args, **kwargs)
nphusl.enable_standard_fns()
globals()[fn.__name__ + "__with_numexp"] = with_expr
globals()[fn.__name__ + "__with_cython"] = with_cyth