circuitpython/tests/float/math_factorial_intbig.py

try:
    import math

    math.factorial
except (ImportError, AttributeError):
    print("SKIP")
    raise SystemExit


for fun in (math.factorial,):
    for x in range(-1, 30):
        try:
            print("%d" % fun(x))
        except ValueError as e:
            print("ValueError")
py/modmath: Add math.factorial, optimised and non-opt implementations. This commit adds the math.factorial function in two variants: - squared difference, which is faster than the naive version, relatively compact, and non-recursive; - a mildly optimised recursive version, faster than the above one. There are some more optimisations that could be done, but they tend to take more code, and more storage space. The recursive version seems like a sensible compromise. The new function is disabled by default, and uses the non-optimised version by default if it is enabled. The options are MICROPY_PY_MATH_FACTORIAL and MICROPY_OPT_MATH_FACTORIAL. 2018-08-26 20:32:21 -04:00			`try:`
			`import math`
codeformat 2021-04-20 01:22:44 -04:00
py/modmath: Add math.factorial, optimised and non-opt implementations. This commit adds the math.factorial function in two variants: - squared difference, which is faster than the naive version, relatively compact, and non-recursive; - a mildly optimised recursive version, faster than the above one. There are some more optimisations that could be done, but they tend to take more code, and more storage space. The recursive version seems like a sensible compromise. The new function is disabled by default, and uses the non-optimised version by default if it is enabled. The options are MICROPY_PY_MATH_FACTORIAL and MICROPY_OPT_MATH_FACTORIAL. 2018-08-26 20:32:21 -04:00			`math.factorial`
			`except (ImportError, AttributeError):`
codeformat 2021-04-20 01:22:44 -04:00			`print("SKIP")`
py/modmath: Add math.factorial, optimised and non-opt implementations. This commit adds the math.factorial function in two variants: - squared difference, which is faster than the naive version, relatively compact, and non-recursive; - a mildly optimised recursive version, faster than the above one. There are some more optimisations that could be done, but they tend to take more code, and more storage space. The recursive version seems like a sensible compromise. The new function is disabled by default, and uses the non-optimised version by default if it is enabled. The options are MICROPY_PY_MATH_FACTORIAL and MICROPY_OPT_MATH_FACTORIAL. 2018-08-26 20:32:21 -04:00			`raise SystemExit`


			`for fun in (math.factorial,):`
			`for x in range(-1, 30):`
			`try:`
codeformat 2021-04-20 01:22:44 -04:00			`print("%d" % fun(x))`
py/modmath: Add math.factorial, optimised and non-opt implementations. This commit adds the math.factorial function in two variants: - squared difference, which is faster than the naive version, relatively compact, and non-recursive; - a mildly optimised recursive version, faster than the above one. There are some more optimisations that could be done, but they tend to take more code, and more storage space. The recursive version seems like a sensible compromise. The new function is disabled by default, and uses the non-optimised version by default if it is enabled. The options are MICROPY_PY_MATH_FACTORIAL and MICROPY_OPT_MATH_FACTORIAL. 2018-08-26 20:32:21 -04:00			`except ValueError as e:`
codeformat 2021-04-20 01:22:44 -04:00			`print("ValueError")`