for ( SmbFile cf : files ) {
                    assertTrue(cf.exists());
                    cf.close();
                }
            }
            finally {
                f.delete();
            }
        }
    }


    @Test
    public void testDirEnumLarge () throws CIFSException, MalformedURLException, UnknownHostException {
        try ( SmbFile f = createTestDirectory() ) {

// things like the available devices, resource manager etc.
// TFE_Context must outlive all tensor handles created using it. In other
// words, TFE_DeleteContext() must be called after all tensor handles have
// been deleted (with TFE_DeleteTensorHandle).
//
// TODO(ashankar): Merge with TF_Session?
typedef struct TFE_Context TFE_Context;

TF_CAPI_EXPORT extern TFE_Context* TFE_NewContext(

    session.add(hero_db)
    session.commit()
    session.refresh(hero_db)
    return hero_db


@app.delete("/heroes/{hero_id}")
def delete_hero(hero_id: int, session: SessionDep):
    hero = session.get(Hero, hero_id)
    if not hero:
        raise HTTPException(status_code=404, detail="Hero not found")
    session.delete(hero)
    session.commit()

containing the secretKey - `users[].policy` - name of the policy to assign to user ## Uninstalling the Chart Assuming your release is named as `my-release`, delete it using the command: ```bash helm delete my-release ``` or ```bash helm uninstall my-release ``` The command removes all the Kubernetes components associated with the chart and deletes the release....

        entity.asDocMeta().indexOption(opLambda);
        doInsertOrUpdate(entity, null, null);
    }

    public void delete(FileConfig entity) {
        doDelete(entity, null);
    }

    public void delete(FileConfig entity, RequestOptionCall<DeleteRequestBuilder> opLambda) {
        entity.asDocMeta().deleteOption(opLambda);
        doDelete(entity, null);
    }

     * Before upgrading to 1.2, <strong>delete all Deployment alpha-version resources</strong>, including the Replication Controllers and Pods the Deployment manages. Then
create Deployment Beta resources after upgrading to 1.2. Not deleting the
Deployment objects may cause the deployment controller to mistakenly match
other pods and delete them, due to the selector API change.

            ]
        )

        # Delete a hero
        response = client.delete(f"/heroes/{hero_id}")
        assert response.status_code == 200, response.text
        assert response.json() == snapshot({"ok": True})

        response = client.get(f"/heroes/{hero_id}")
        assert response.status_code == 404, response.text

        response = client.delete(f"/heroes/{hero_id}")

none|download|upload|public - `buckets[].purge` - purge if bucket exists already Uninstalling the Chart ---------- Assuming your release is named as `my-release`, delete it using the command: ```bash helm delete my-release ``` or ```bash helm uninstall my-release ``` The command removes all the Kubernetes components associated with the chart and deletes the release....

            logger.warn("Failed to delete all words.", response.getErrors().get(0));
            return false;
        }
        refresh();
        return true;
    }

    public boolean deleteDocumentWords() {
        final SuggestDeleteResponse response = suggester.indexer().deleteDocumentWords();
        if (response.hasError()) {
            logger.warn("Failed to delete document words.", response.getErrors().get(0));

  EXPECT_EQ(22, product[3]);
  TF_DeleteStatus(status);
}
TEST(CAPI, Executor_MatMul_CPU) { Executor_MatMul_CPU(false); }
TEST(CAPI, Executor_MatMul_CPUAsync) { Executor_MatMul_CPU(true); }

void Deleter(void* data, size_t unused, void* tensor_handle) {
  TFE_DeleteTensorHandle(static_cast<TFE_TensorHandle*>(tensor_handle));
}

TEST(CAPI, TensorHandleOnDeviceMemory) {
  TF_Status* status = TF_NewStatus();