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