code stringlengths 3 6.57k |
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int(input() |
read_row() |
list(map(int, input() |
split() |
read_grid() |
read_row() |
range(read_val() |
make_blank_row(i) |
make_blank_grid(n) |
make_blank_row(i) |
range(1, n + 1) |
compute_max_path_sum(grid) |
make_blank_grid(len(grid) |
dfs(i, j) |
len(grid) |
max(dfs(i + 1, j) |
dfs(i + 1, j + 1) |
dfs(0, 0) |
range(read_val() |
print(compute_max_path_sum(read_grid() |
print(platform.system() |
platform.system() |
lower() |
Exception("Unimplemented for OS {}".format(operating_system) |
find_blender(version) |
get_installed_blender_versions() |
print("blender version '{}' not found; found {} version(s) |
format(version, len(installed_versions) |
installed_versions.items() |
print(" {}: {}".format(v, path) |
print("searching web archive...") |
get_blender_version_download_links(version, operating_system_name) |
print("found {} download(s) |
format(len(versions) |
print(" {}".format(url) |
get_installed_blender_versions() |
items() |
find_blender('2.80') |
print("Found blender: '{}'".format(blender) |
print("No matching blender version installed :(") |
distribution. (Y-axis is meaningless, just spreads data) |
np.asarray([get_rand() |
range(5000) |
plt.plot(data, np.random.uniform(size=(5000,) |
plt.show() |
kornia_color_jitter_numpy(img, setting) |
torch.from_numpy(img) |
permute(2,0,1) |
unsqueeze(0) |
ColorJitter(setting, setting, setting, setting) |
img.squeeze(0) |
permute(1,2,0) |
numpy() |
__init__(self, opt) |
self.reset_random() |
opt.keys() |
opt.keys() |
opt.keys() |
opt_get(opt, ['cosine_bias'], True) |
opt.keys() |
reset_random(self) |
self.opt.keys() |
random.Random(self.opt['random_seed']) |
random.Random() |
get_rand(self) |
self.rand.random() |
cos(r * pi / 2) |
corrupt_images(self, imgs, return_entropy=False) |
random.choices(self.random_corruptions, k=self.num_corrupts) |
self.get_rand() |
self.apply_corruption(img, aug, r, applied_augs) |
undo_fns.append(undo_fn) |
self.get_rand() |
self.apply_corruption(img, aug, r, applied_augs) |
entropy.append(r) |
undo_fns.append(undo_fn) |
ufn(img) |
corrupted_imgs.append(img) |
apply_corruption(self, img, aug, rand_val, applied_augmentations) |
int(rand_val * 10 / 3) |
kornia_color_jitter_numpy(img, setting) |
cv2.GaussianBlur(img, (0,0) |
random.randint(0,360) |
np.zeros((intensity, intensity) |
np.ones(intensity, dtype=np.float32) |
cv2.warpAffine(k, cv2.getRotationMatrix2D((intensity / 2 - 0.5, intensity / 2 - 0.5) |
np.sum(k) |
cv2.filter2D(img, -1, k) |
random.randint(0,4) |
len(interpolation_modes) |
cv2.resize(img, dsize=(img.shape[1]//scale, img.shape[0]//scale) |
lq_resampling_undo_fn(scale, img) |
cv2.resize(img, dsize=(img.shape[1]*scale, img.shape[0]*scale) |
functools.partial(lq_resampling_undo_fn, scale) |
np.random.rand(*img.shape) |
NotImplementedError("specified jpeg corruption doesn't exist") |
int((1-rand_val) |
astype(np.uint8) |
Image.fromarray(img) |
BytesIO() |
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