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timfuz: perf tests 

Signed-off-by: John McMaster <johndmcmaster@gmail.com>
This commit is contained in:
John McMaster 2018-08-27 13:07:30 -07:00
parent 9ff07f4278
commit b4874d2cf9
1 changed files with 29 additions and 7 deletions
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36
experiments/timfuz/timfuz_perf.py
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@ -14,8 +14,9 @@ import sympy
from collections import OrderedDict from collections import OrderedDict
from fractions import Fraction from fractions import Fraction
import random import random
from sympy import Rational
def fracr(r): def intr(r):
DELTA = 0.0001 DELTA = 0.0001
for i, x in enumerate(r): for i, x in enumerate(r):
@ -23,11 +24,25 @@ def fracr(r):
xi = int(x) xi = int(x)
assert abs(xi - x) < DELTA assert abs(xi - x) < DELTA
r[i] = xi r[i] = xi
def fracr(r):
intr(r)
return [Fraction(x) for x in r] return [Fraction(x) for x in r]
def fracm(m): def fracm(m):
return [fracr(r) for r in m] return [fracr(r) for r in m]
def symratr(r):
intr(r)
return [Rational(x) for x in r]
def symratm(m):
return [symratr(r) for r in m]
def intm(m):
[intr(r) for r in m]
return m
def create_matrix(rows, cols): def create_matrix(rows, cols):
ret = np.zeros((rows, cols)) ret = np.zeros((rows, cols))
for rowi in range(rows): for rowi in range(rows):
@ -43,7 +58,7 @@ def create_matrix_sparse(rows, cols):
ret[rowi][coli] = random.randint(1, 10) ret[rowi][coli] = random.randint(1, 10)
return ret return ret
def run(rows=35, cols=200, verbose=False, encoding='np', sparse=False): def run(rows=35, cols=200, verbose=False, encoding='np', sparse=False, normalize_last=True):
random.seed(0) random.seed(0)
if sparse: if sparse:
mnp = create_matrix_sparse(rows, cols) mnp = create_matrix_sparse(rows, cols)
@ -52,12 +67,17 @@ def run(rows=35, cols=200, verbose=False, encoding='np', sparse=False):
#print(mnp[0]) #print(mnp[0])
if encoding == 'fraction': if encoding == 'fraction':
mfrac = fracm(mnp) msym = sympy.Matrix(fracm(mnp))
msym = sympy.Matrix(mfrac)
elif encoding == 'np': elif encoding == 'np':
msym = sympy.Matrix(mnp) msym = sympy.Matrix(mnp)
elif encoding == 'sympy':
msym = sympy.Matrix(symratm(mnp))
# this actually produces float results
elif encoding == 'int':
msym = sympy.Matrix(intm(mnp))
else: else:
assert 0, 'bad encoding: %s' % encoding assert 0, 'bad encoding: %s' % encoding
print(type(msym[0]), str(msym[0]))
if verbose: if verbose:
print('names') print('names')
@ -65,12 +85,13 @@ def run(rows=35, cols=200, verbose=False, encoding='np', sparse=False):
print('Matrix') print('Matrix')
sympy.pprint(msym) sympy.pprint(msym)
print('%s matrix, %u rows x %u cols, sparse: %s' % (encoding, len(mnp), len(mnp[0]), sparse)) print('%s matrix, %u rows x %u cols, sparse: %s, normlast: %s' % (encoding, len(mnp), len(mnp[0]), sparse, normalize_last))
bench = Benchmark() bench = Benchmark()
try: try:
rref, pivots = msym.rref() rref, pivots = msym.rref(normalize_last=normalize_last)
finally: finally:
print('rref exiting after %s' % bench) print('rref exiting after %s' % bench)
print(type(rref[0]), str(rref[0]))
if verbose: if verbose:
print('Pivots') print('Pivots')
@ -90,10 +111,11 @@ def main():
parser.add_argument('--sparse', action='store_true', help='') parser.add_argument('--sparse', action='store_true', help='')
parser.add_argument('--rows', type=int, help='') parser.add_argument('--rows', type=int, help='')
parser.add_argument('--cols', type=int, help='') parser.add_argument('--cols', type=int, help='')
parser.add_argument('--normalize-last', type=int, help='')
parser.add_argument('--encoding', default='np', help='') parser.add_argument('--encoding', default='np', help='')
args = parser.parse_args() args = parser.parse_args()
run(encoding=args.encoding, rows=args.rows, cols=args.cols, sparse=args.sparse, verbose=args.verbose) run(encoding=args.encoding, rows=args.rows, cols=args.cols, sparse=args.sparse, normalize_last=bool(args.normalize_last), verbose=args.verbose)
if __name__ == '__main__': if __name__ == '__main__':
main() main()