Datasets:
celinelee
/
python_fn_calls

Dataset card Data Studio Files
xet
Community
1
code
stringlengths
3
6.57k
img.save(buffer, "JPEG", quality=qf, optimize=True)
buffer.seek(0)
np.asarray(bytearray(buffer.read()
read_img("buffer", jpeg_img_bytes, rgb=True)
np.clip(img + saturation, a_max=1, a_min=0)
np.tile(np.mean(img, axis=2, keepdims=True)
NotImplementedError("Augmentation doesn't exist")
print(b"%%" % ()
print(b"=%d=" % 1)
print(b"=%d=%d=" % (1, 2)
print(b"=%s=" % b"str")
print(b"=%r=" % b"str")
print("PASS")
test_call()
test_utils.make_tgt_transform(tgt_jpeg)
test_utils.make_test_image()
tgt_transform(image=image)
image.numpy()
float(tgt_jpeg.get_param('quality')
os.environ.get("CONTINUUM_DATA_PATH")
test_bg_swap_fast()
np.ones(shape=[2, 5, 5, 3])
np.random.rand(2)
np.random.normal(loc=.5, scale=.1, size=[5, 5])
InMemoryDataset(bg_x, bg_y)
BackgroundSwap(bg, input_dim=(5, 5)
bg_swap(fg)
np.array_equal((spliced_1_channel <= -1)
test_background_swap_numpy()
MNIST(DATA_PATH, download=True, train=True)
CIFAR10(DATA_PATH, download=True, train=True)
BackgroundSwap(cifar, input_dim=(28, 28)
mnist.get_data()
bg_swap(im)
plt.imshow(im, interpolation='nearest')
plt.show()
test_background_swap_torch()
CIFAR10(DATA_PATH, download=True, train=True)
torchvision.transforms.ToTensor()
BackgroundSwap(cifar, input_dim=(28, 28)
bg_swap(im)
plt.imshow(im.permute(1, 2, 0)
plt.show()
test_background_tranformation()
CIFAR10(DATA_PATH, train=True)
MNIST(DATA_PATH, download=False, train=True)
range(nb_task)
list_trsf.append([torchvision.transforms.ToTensor()
BackgroundSwap(cifar, bg_label=i, input_dim=(28, 28)
torchvision.transforms.ToPILImage()
TransformationIncremental(mnist, base_transformations=[torchvision.transforms.ToTensor()
os.path.exists(folder)
os.makedirs(folder)
enumerate(scenario)
task_data.plot(path=folder, title=f"background_{task_id}.jpg", nb_samples=100, shape=[28, 28, 3])
DataLoader(task_data)
next(iter(loader)
Consortium (CIOC)
update_cache_values()
os.path.normpath(os.path.join(os.path.dirname(__file__)
os.path.split(_app_path)
os.path.join(_app_path, '..', '..', 'config', _app_name + '.ini')
os.path.join(_app_path, 'python', 'session_lock')
os.path.join(_app_path, 'python', 'published_files')
os.makedirs(session_lock_dir)
os.makedirs(publish_dir)
Copyright (c)
Microsoft (R)
WebSiteManagementClientConfiguration(Configuration)
string (e.g. 00000000-0000-0000-0000-000000000000)
ValueError("Parameter 'credential' must not be None.")
ValueError("Parameter 'subscription_id' must not be None.")
super(WebSiteManagementClientConfiguration, self)
__init__(**kwargs)
kwargs.pop('credential_scopes', ['https://management.azure.com/.default'])
kwargs.setdefault('sdk_moniker', 'mgmt-web/{}'.format(VERSION)
self._configure(**kwargs)
kwargs.get('user_agent_policy')
policies.UserAgentPolicy(**kwargs)
kwargs.get('headers_policy')
policies.HeadersPolicy(**kwargs)
kwargs.get('proxy_policy')
policies.ProxyPolicy(**kwargs)
kwargs.get('logging_policy')
policies.NetworkTraceLoggingPolicy(**kwargs)
kwargs.get('http_logging_policy')
ARMHttpLoggingPolicy(**kwargs)
kwargs.get('retry_policy')
policies.AsyncRetryPolicy(**kwargs)
kwargs.get('custom_hook_policy')
policies.CustomHookPolicy(**kwargs)
kwargs.get('redirect_policy')
policies.AsyncRedirectPolicy(**kwargs)
kwargs.get('authentication_policy')
policies.AsyncBearerTokenCredentialPolicy(self.credential, *self.credential_scopes, **kwargs)
get_response(req)
django.http.HttpResponse()
test_leaves_remote_addr_alone_if_no_real_ip()
object()
unittest.mock.MagicMock()