Created
May 18, 2020 17:57
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Testing length calculations for upfirdn
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import numpy as np | |
def output_lens(len_h, in_len, up, down): | |
in_len_copy = in_len + (len_h + (-len_h % up)) // up - 1 | |
nt = in_len_copy * up | |
need = nt // down | |
if nt % down > 0: | |
need += 1 | |
# need2 = int(np.ceil((in_len * up + len_h - 1) / down)) | |
need3 = int(np.ceil(((in_len - 1) * up + len_h) / down)) | |
need4 = int(np.floor(((in_len - 1) * up + len_h) / down)) | |
return (need, need3, need4) | |
results = [] | |
count = 0 | |
known_ratios = set() | |
known_lens = set() | |
for len_h in range(2, 33): | |
for in_len in range(2, 33): | |
for up in range(1, 7): | |
for down in range(1, 7): | |
this = output_lens(len_h, in_len, up, down) | |
if len(this) == len(np.unique(this)): | |
if (up, down) in known_ratios: | |
continue | |
if (len_h, in_len) in known_lens: | |
continue | |
known_ratios.add((up, down)) | |
known_lens.add((len_h, in_len)) | |
print(len_h, in_len, up, down) | |
count += 1 | |
if count == 20: | |
raise RuntimeError() | |
results.append([len_h, in_len] + list(this)) | |
results = np.array(results) | |
assert results.dtype == np.int |
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