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0161e74 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 | from typing import Sequence
import numpy as np
import torch
from scgpt.data_sampler import SubsetSequentialSampler, SubsetsBatchSampler
from scgpt.utils import set_seed
set_seed(1)
def _check_reorder(a: Sequence[int], b: Sequence[int]) -> bool:
"""Check if a is a shuffled version of b."""
if len(a) != len(b):
return False
if len(a) == 0:
return True
if len(a) == 1:
return a[0] == b[0]
# Find the first element in a that is also in b
first = a[0]
for i in range(len(b)):
if b[i] == first:
break
else:
return False
# Check if the rest of a is a shuffled version of b[:i] + b[i+1:]
return _check_reorder(a[1:], b[:i] + b[i + 1 :])
def test_subset_sequential_sampler() -> None:
"""Test SubsetSequentialSampler."""
# Test with a list of indices
sampler = SubsetSequentialSampler([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
assert list(sampler) == list(range(10))
def test_subsets_batch_sampler() -> None:
"""Test SubsetsBatchSampler."""
# Test with a list of subsets of indices
subsets = [[0, 1, 2, 3, 4], [5, 6, 7, 8, 9]]
# Test sequential sampling
sampler = SubsetsBatchSampler(
subsets,
batch_size=3,
intra_subset_shuffle=False,
inter_subset_shuffle=False,
)
assert list(sampler) == [[0, 1, 2], [3, 4], [5, 6, 7], [8, 9]]
# Test sequential sampling with drop_last
sampler = SubsetsBatchSampler(
subsets,
batch_size=3,
intra_subset_shuffle=False,
inter_subset_shuffle=False,
drop_last=True,
)
assert list(sampler) == [[0, 1, 2], [5, 6, 7]]
# Test sampling with inter subset shuffle
sampler = SubsetsBatchSampler(
subsets,
batch_size=3,
intra_subset_shuffle=False,
inter_subset_shuffle=True,
)
sampled_idx = list(sampler)
assert len(sampled_idx) == 4
print(sampled_idx)
assert sampled_idx != [[0, 1, 2], [3, 4], [5, 6, 7], [8, 9]]
assert _check_reorder(sampled_idx, [[0, 1, 2], [3, 4], [5, 6, 7], [8, 9]])
# Test sampling with intra subset shuffle
sampler = SubsetsBatchSampler(
subsets,
batch_size=3,
intra_subset_shuffle=True,
inter_subset_shuffle=False,
)
sampled_idx = list(sampler)
assert len(sampled_idx) == 4
sampled_idx_subset0 = sampled_idx[0] + sampled_idx[1]
sampled_idx_subset1 = sampled_idx[2] + sampled_idx[3]
assert sampled_idx_subset0 != [0, 1, 2, 3, 4]
assert sampled_idx_subset1 != [5, 6, 7, 8, 9]
assert _check_reorder(sampled_idx_subset0, [0, 1, 2, 3, 4])
assert _check_reorder(sampled_idx_subset1, [5, 6, 7, 8, 9])
# Test sampling with both intra and inter subset shuffle
sampler = SubsetsBatchSampler(
subsets,
batch_size=3,
intra_subset_shuffle=True,
inter_subset_shuffle=True,
)
sampled_idx = list(sampler)
assert len(sampled_idx) == 4
sampled_idx_flatten = [item for sublist in sampled_idx for item in sublist]
assert sampled_idx_flatten != [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
assert _check_reorder(sampled_idx_flatten, [0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
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