code stringlengths 3 6.57k |
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C(tcp://myserver.com:5000) |
C(--keyservice) |
C(--kms) |
C(--gcp-kms) |
C(--azure-kv) |
C(https://vault.example.org:8200/v1/transit/keys/dev) |
C(--hc-vault-transit) |
C(--pgp) |
C(--unencrypted-suffix) |
I(unencrypted_suffix) |
C(--encrypted-suffix) |
C(--unencrypted-regex) |
C(--encrypted-regex) |
C(key:value) |
C(--encryption-context) |
L(Shamir's Secret Sharing, https://en.wikipedia.org/wiki/Shamir%27s_Secret_Sharing) |
C(0) |
C(--shamir-secret-sharing-threshold) |
test_exceptions() |
pytest.raises(ProviderError, match="error") |
ProviderError("error") |
pytest.raises(ProviderError, match="error, error") |
ProviderError("error", "error") |
pytest.raises(BalanceError, match="error") |
BalanceError("error") |
pytest.raises(BalanceError, match="error, error") |
BalanceError("error", "error") |
pytest.raises(APIError, match="error") |
APIError("error") |
pytest.raises(APIError) |
APIError("error", "error") |
pytest.raises(AddressError, match="error") |
AddressError("error") |
pytest.raises(AddressError, match="error, error") |
AddressError("error", "error") |
pytest.raises(InvalidURLError, match="error") |
InvalidURLError("error") |
pytest.raises(ClientError, match="error") |
ClientError("error") |
pytest.raises(ClientError) |
ClientError("error", "error") |
pytest.raises(NotFoundError, match="error") |
NotFoundError("error") |
pytest.raises(UnitError, match="error") |
UnitError("error") |
pytest.raises(UnitError, match="error, error") |
UnitError("error", "error") |
Copyright (c) |
files (the "Software") |
TestConvertApi(TestContext) |
test_convert_document(self) |
TestFile.one_page_docx() |
ConvertSettings() |
ConvertDocumentRequest(settings) |
self.convert_api.convert_document(request) |
self.assertTrue(len(data) |
self.assertTrue(data[0].size > 0) |
test_convert_document_download(self) |
TestFile.one_page_docx() |
ConvertSettings() |
ConvertDocumentRequest(settings) |
self.convert_api.convert_document_download(request) |
self.assertGreater(os.path.getsize(data) |
test_convert_document_direct(self) |
TestFile.four_pages_docx() |
self.get_test_file_path(test_file) |
ConvertDocumentDirectRequest(format, local_file_path) |
self.convert_api.convert_document_direct(request) |
self.assertGreater(os.path.getsize(data) |
unittest.main() |
encode_onehot(labels) |
set(labels) |
np.identity(len(classes) |
enumerate(classes) |
np.array(list(map(classes_dict.get, labels) |
load_data(path="../data/cora/", dataset="cora") |
dataset (cora only for now) |
print('Loading {} dataset...'.format(dataset) |
np.genfromtxt("{}{}.content".format(path, dataset) |
np.dtype(str) |
sp.csr_matrix(idx_features_labels[:, 1:-1], dtype=np.float32) |
encode_onehot(idx_features_labels[:, -1]) |
np.array(idx_features_labels[:, 0], dtype=np.int32) |
enumerate(idx) |
np.genfromtxt("{}{}.cites".format(path, dataset) |
np.array(list(map(idx_map.get, edges_unordered.flatten() |
reshape(edges_unordered.shape) |
sp.coo_matrix((np.ones(edges.shape[0]) |
adj.T.multiply(adj.T > adj) |
adj.multiply(adj.T > adj) |
normalize(features) |
normalize(adj + sp.eye(adj.shape[0]) |
range(140) |
range(200, 500) |
range(500, 1500) |
torch.FloatTensor(np.array(features.todense() |
torch.LongTensor(np.where(labels) |
sparse_mx_to_torch_sparse_tensor(adj) |
torch.LongTensor(idx_train) |
torch.LongTensor(idx_val) |
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